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Linet MS, Curtis RE, Schonfeld SJ, Vo JB, Morton LM, Dores GM. Survival of adult AML patients treated with chemotherapy in the U.S. population by age, race and ethnicity, sex, calendar-year period, and AML subgroup, 2001-2019. EClinicalMedicine 2024; 71:102549. [PMID: 38524920 PMCID: PMC10957373 DOI: 10.1016/j.eclinm.2024.102549] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/23/2023] [Revised: 02/26/2024] [Accepted: 02/29/2024] [Indexed: 03/26/2024] Open
Abstract
Background Population-based survival studies of adult acute myeloid leukemia (AML) have not simultaneously evaluated age at diagnosis, race and ethnicity, sex, calendar period or AML subtypes/subgroups among chemotherapy-treated patients. Methods For 28,473 chemotherapy-treated AML patients diagnosed at ages ≥20 years in population-based cancer registry areas of the Surveillance, Epidemiology, and End Results Program (2001-2018, followed through 2019), we evaluated 1-month through 5-year relative survival (RS) and 95% confidence intervals (95% CI) using the actuarial method in the SEER∗Stat Survival Session and overall survival (OS) using multivariable Cox regression to estimate proportional hazard ratios (HR) and 95% CI. Findings RS decreased with increasing age (20-39, 40-59, 60-74, 75-84, ≥85 years) at AML diagnosis. RS declined substantially within the first month and, except for acute promyelocytic leukemia, decreasing patterns continued thereafter for core binding factor AML, AML with antecedent condition/therapy, and all other AML. For all ages, acute promyelocytic leukemia RS stabilized after the first year. For total AML the hazard of death was significantly increased for non-Hispanic (NH)-Black (HR = 1.18, 95% CI = 1.12-1.24) and NH-Pacific Islander patients (HR = 1.31, 95% CI = 1.11-1.55) compared with NH-White patients. In contrast, NH-Asian and Hispanic patients had similar OS to NH-White patients across all ages and most AML subgroups. Males had significantly inferior survival to females with some exceptions. Compared to 2001-2006, in 2013-2018 OS improved for all age and AML subgroups. Interpretation Chemotherapy-treated U.S. adults with AML have notable differences in survival by age, race and ethnicity, sex, calendar-year period, and AML subgroup. Despite survival gains over time, our findings highlight the need for improving early outcomes across all AML subgroups, older ages, and Black and Pacific Islander patients and long-term outcomes among most treated groups. Funding Intramural Research Program of the U.S. National Institutes of Health, National Cancer Institute, Division of Cancer Epidemiology and Genetics, and the U.S. Food and Drug Administration, Center for Drug Evaluation and Research, Office of Surveillance and Epidemiology.
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Affiliation(s)
- Martha S. Linet
- Radiation Epidemiology Branch, Division of Cancer Epidemiology and Genetics, National Cancer Institute, National Institutes of Health, 9609 Medical Center Drive 7E, Rockville, MD 20850, USA
| | - Rochelle E. Curtis
- Radiation Epidemiology Branch, Division of Cancer Epidemiology and Genetics, National Cancer Institute, National Institutes of Health, 9609 Medical Center Drive 7E, Rockville, MD 20850, USA
| | - Sara J. Schonfeld
- Radiation Epidemiology Branch, Division of Cancer Epidemiology and Genetics, National Cancer Institute, National Institutes of Health, 9609 Medical Center Drive 7E, Rockville, MD 20850, USA
| | - Jacqueline B. Vo
- Radiation Epidemiology Branch, Division of Cancer Epidemiology and Genetics, National Cancer Institute, National Institutes of Health, 9609 Medical Center Drive 7E, Rockville, MD 20850, USA
| | - Lindsay M. Morton
- Radiation Epidemiology Branch, Division of Cancer Epidemiology and Genetics, National Cancer Institute, National Institutes of Health, 9609 Medical Center Drive 7E, Rockville, MD 20850, USA
| | - Graça M. Dores
- Radiation Epidemiology Branch, Division of Cancer Epidemiology and Genetics, National Cancer Institute, National Institutes of Health, 9609 Medical Center Drive 7E, Rockville, MD 20850, USA
- U.S. Food and Drug Administration, Center for Drug Evaluation and Research, Office of Surveillance and Epidemiology, Silver Spring, MD, USA
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Esteghamat NS, Brunson A, Rosenberg AS, Schonfeld SJ, Valcarcel B, Abrahão R, Cooley JJP, Meyer CL, Auletta JJ, Morton LM, Muffly L, Wun T, Keegan THM. Utilization of Autologous Hematopoietic Cell Transplantation Over Time in Multiple Myeloma: A Population-Based Study. Clin Lymphoma Myeloma Leuk 2024; 24:e119-e129. [PMID: 38195324 DOI: 10.1016/j.clml.2023.12.009] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 10/25/2023] [Revised: 12/06/2023] [Accepted: 12/14/2023] [Indexed: 01/11/2024]
Abstract
PURPOSE Autologous hematopoietic cell transplantation (autoHCT) is associated with survival benefits in multiple myeloma (MM), but utilization remains low and differs by sociodemographic factors. Prior population-based studies have not fully captured autoHCT utilization or examined relationships between sociodemographic factors and autoHCT trends over time. PATIENTS AND METHODS We used a novel data linkage between the California Cancer Registry, Center for International Blood and Marrow Transplant Research, and hospitalizations to capture autoHCT in a population-based MM cohort (n = 29, 109; 1991-2016). Due to interactions by treatment era, stratified multivariable Cox proportional hazards regression models determined factors associated with autoHCT. RESULTS The frequency of MM patients who received autoHCT increased from 5.7% (1991-1995) to 27.4% (2011-2016). In models by treatment era, patients with public/no (vs. private) health insurance were less likely to receive autoHCT (2011-2016 Medicare hazard ratio (HR) 0.70, 95% confidence interval (CI): 0.63-0.78; Medicaid HR 0.81, CI: 0.72-0.91; no insurance HR 0.56, CI: 0.32-0.99). In each treatment era, Black/African American (vs. non-Hispanic White) patients were less likely to receive autoHCT (2011-2016 HR 0.83, CI: 0.72-0.95). Hispanic patients were less likely to undergo autoHCT, most prominently in the earliest treatment era (1991-1995 HR 0.58, 95% CI: 0.37-0.90; 2011-2016 HR 1.07, CI: 0.96-1.19). Patients in lower socioeconomic status neighborhoods were less likely to utilize autoHCT, but differences decreased over time. CONCLUSIONS Despite increases in autoHCT utilization, sociodemographic disparities remain. Identifying and mitigating barriers to autoHCT is essential to ensuring more equitable access to this highly effective therapy.
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Affiliation(s)
- Naseem S Esteghamat
- Division of Malignant Hematology, Cellular Therapy and Transplantation, University of California Davis Comprehensive Cancer Center, Sacramento, CA.
| | - Ann Brunson
- Center for Oncology Hematology Outcomes Research and Training (COHORT), Division of Hematology and Oncology, University of California Davis Comprehensive Cancer Center, Sacramento, CA
| | - Aaron S Rosenberg
- Division of Malignant Hematology, Cellular Therapy and Transplantation, University of California Davis Comprehensive Cancer Center, Sacramento, CA
| | - Sara J Schonfeld
- Radiation Epidemiology Branch, Division of Cancer Epidemiology and Genetics, Department of Health and Human Services, National Cancer Institute, National Institutes of Health, Bethesda, MD
| | - Bryan Valcarcel
- Radiation Epidemiology Branch, Division of Cancer Epidemiology and Genetics, Department of Health and Human Services, National Cancer Institute, National Institutes of Health, Bethesda, MD
| | - Renata Abrahão
- Center for Oncology Hematology Outcomes Research and Training (COHORT), Division of Hematology and Oncology, University of California Davis Comprehensive Cancer Center, Sacramento, CA
| | - Julianne J P Cooley
- California Cancer Reporting and Epidemiologic Surveillance Program, University of California Davis Comprehensive Cancer Center, Sacramento, CA
| | - Christa L Meyer
- Center for International Blood and Marrow Transplant Research, National Marrow Donor Program/Be The Match, Minneapolis, MN
| | - Jeffery J Auletta
- Center for International Blood and Marrow Transplant Research, National Marrow Donor Program/Be The Match, Minneapolis, MN; Divisions of Hematology/Oncology/BMT and Infectious Diseases, Nationwide Children's Hospital, Columbus, OH
| | - Lindsay M Morton
- Radiation Epidemiology Branch, Division of Cancer Epidemiology and Genetics, Department of Health and Human Services, National Cancer Institute, National Institutes of Health, Bethesda, MD
| | - Lori Muffly
- Division of Blood and Marrow Transplantation and Cellular Therapy, Stanford University, Stanford, CA
| | - Ted Wun
- Center for Oncology Hematology Outcomes Research and Training (COHORT), Division of Hematology and Oncology, University of California Davis Comprehensive Cancer Center, Sacramento, CA; California Cancer Reporting and Epidemiologic Surveillance Program, University of California Davis Comprehensive Cancer Center, Sacramento, CA
| | - Theresa H M Keegan
- Center for Oncology Hematology Outcomes Research and Training (COHORT), Division of Hematology and Oncology, University of California Davis Comprehensive Cancer Center, Sacramento, CA; California Cancer Reporting and Epidemiologic Surveillance Program, University of California Davis Comprehensive Cancer Center, Sacramento, CA
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Gibson TM, Karyadi DM, Hartley SW, Arnold MA, Berrington de Gonzalez A, Conces MR, Howell RM, Kapoor V, Leisenring WM, Neglia JP, Sampson JN, Turcotte LM, Chanock SJ, Armstrong GT, Morton LM. Polygenic risk scores, radiation treatment exposures and subsequent cancer risk in childhood cancer survivors. Nat Med 2024; 30:690-698. [PMID: 38454124 PMCID: PMC11029534 DOI: 10.1038/s41591-024-02837-7] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/27/2023] [Accepted: 01/26/2024] [Indexed: 03/09/2024]
Abstract
Survivors of childhood cancer are at increased risk for subsequent cancers attributable to the late effects of radiotherapy and other treatment exposures; thus, further understanding of the impact of genetic predisposition on risk is needed. Combining genotype data for 11,220 5-year survivors from the Childhood Cancer Survivor Study and the St Jude Lifetime Cohort, we found that cancer-specific polygenic risk scores (PRSs) derived from general population, genome-wide association study, cancer loci identified survivors of European ancestry at increased risk of subsequent basal cell carcinoma (odds ratio per s.d. of the PRS: OR = 1.37, 95% confidence interval (CI) = 1.29-1.46), female breast cancer (OR = 1.42, 95% CI = 1.27-1.58), thyroid cancer (OR = 1.48, 95% CI = 1.31-1.67), squamous cell carcinoma (OR = 1.20, 95% CI = 1.00-1.44) and melanoma (OR = 1.60, 95% CI = 1.31-1.96); however, the association for colorectal cancer was not significant (OR = 1.19, 95% CI = 0.94-1.52). An investigation of joint associations between PRSs and radiotherapy found more than additive increased risks of basal cell carcinoma, and breast and thyroid cancers. For survivors with radiotherapy exposure, the cumulative incidence of subsequent cancer by age 50 years was increased for those with high versus low PRS. These findings suggest a degree of shared genetic etiology for these malignancy types in the general population and survivors, which remains evident in the context of strong radiotherapy-related risk.
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Affiliation(s)
- Todd M Gibson
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, National Institutes of Health, Bethesda, MD, USA.
| | - Danielle M Karyadi
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, National Institutes of Health, Bethesda, MD, USA
| | - Stephen W Hartley
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, National Institutes of Health, Bethesda, MD, USA
| | - Michael A Arnold
- Department of Pathology, Children's Hospital of Colorado, University of Colorado, Denver, CO, USA
| | | | - Miriam R Conces
- Department of Pathology and Laboratory Medicine, Nationwide Children's Hospital, Columbus, OH, USA
| | - Rebecca M Howell
- Radiation Physics, The University of Texas MD Anderson Cancer Center, Houston, TX, USA
| | - Vidushi Kapoor
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, National Institutes of Health, Bethesda, MD, USA
| | - Wendy M Leisenring
- Cancer Prevention and Clinical Statistics Programs, Fred Hutchinson Cancer Research Center, Seattle, WA, USA
| | - Joseph P Neglia
- Department of Pediatrics, University of Minnesota, Minneapolis, MN, USA
| | - Joshua N Sampson
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, National Institutes of Health, Bethesda, MD, USA
| | - Lucie M Turcotte
- Department of Pediatrics, University of Minnesota, Minneapolis, MN, USA
| | - Stephen J Chanock
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, National Institutes of Health, Bethesda, MD, USA
| | - Gregory T Armstrong
- Department of Epidemiology and Cancer Control, St Jude Children's Research Hospital, Memphis, TN, USA
| | - Lindsay M Morton
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, National Institutes of Health, Bethesda, MD, USA
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Tran TVT, Schonfeld SJ, Pasqual E, Haymart MR, Morton LM, Kitahara CM. All-Cause and Cause-Specific Mortality Among Low-Risk Differentiated Thyroid Cancer Survivors in the United States. Thyroid 2024; 34:215-224. [PMID: 38149602 PMCID: PMC10884550 DOI: 10.1089/thy.2023.0449] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 12/28/2023]
Abstract
Background: Despite the excellent disease-specific survival associated with low-risk differentiated thyroid cancer (DTC), its diagnosis and management have been linked to patient concerns about cancer recurrence, treatment-related health risks, and mortality. Lack of information regarding long-term health outcomes can perpetuate these concerns. Therefore, we assessed all-cause and cause-specific mortality in a large cohort of individuals diagnosed with low-risk DTC. Methods: From the U.S. Surveillance, Epidemiology, and End Results-12 cancer registry database (1992-2019), we identified 51,854 individuals (81.8% female) diagnosed with first primary DTC at low risk of recurrence (≤4 cm, localized). We estimated cause-specific cumulative mortality by time since diagnosis, accounting for competing risks. Standardized mortality ratios (SMRs) and CIs were used to compare observed mortality rates in DTC patients with expected rates in the matched U.S. general population, overall and by time since DTC diagnosis. We used Cox proportional hazards models to examine associations between radioactive iodine (RAI) treatment and cause-specific mortality. Results: During follow-up (median = 8.8, range 0-28 years), 3467 (6.7%) deaths were recorded. Thyroid cancer accounted for only 4.3% of deaths (n = 148). The most common causes of death were malignancies (other than thyroid cancer) (n = 1031, 29.7%) and cardiovascular disease (CVD; n = 912, 26.3%). The 20-year cumulative mortality rate from thyroid cancer, malignancies (other than thyroid or nonmelanoma skin cancer), and CVD was 0.6%, 4.6%, and 3.9%, respectively. Lower than expected mortality was observed for all causes excluding thyroid cancer (SMR = 0.69 [CI 0.67-0.71]) and most specific causes, including all malignancies combined (other than thyroid cancer; SMR = 0.80 [CI 0.75-0.85]) and CVD (SMR = 0.64 [CI 0.60-0.69]). However, mortality rates were elevated for specific cancers, including pancreas (SMR = 1.58 [CI 1.18-2.06]), kidney and renal pelvis (SMR = 1.85 [CI 1.10-2.93]), and brain and other nervous system (SMR = 1.62 [CI 0.99-2.51]), and myeloma (SMR = 2.35 [CI 1.46-3.60]) and leukemia (SMR = 1.62 [CI 1.07-2.36]); these associations were stronger ≥10 years after diagnosis. RAI was not associated with risk of cause-specific death, but numbers of events were small and the range of administered activities was likely narrow. Conclusions: Overall, our findings provide reassurance regarding low overall and cause-specific mortality rates in individuals with low-risk DTC. Additional research is necessary to confirm and understand the increased mortality from certain subsequent cancers.
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Affiliation(s)
- Thi-Van-Trinh Tran
- Radiation Epidemiology Branch, Division of Cancer Epidemiology and Genetics, National Cancer Institute, National Institutes of Health, Bethesda, Maryland, USA
| | - Sara J. Schonfeld
- Radiation Epidemiology Branch, Division of Cancer Epidemiology and Genetics, National Cancer Institute, National Institutes of Health, Bethesda, Maryland, USA
| | - Elisa Pasqual
- Evidence Synthesis and Classification Branch, International Agency for Research on Cancer, Lyon, France
| | - Megan R. Haymart
- Division of Metabolism, Endocrinology, and Diabetes, Department of Internal Medicine, University of Michigan, Ann Arbor, Michigan, USA
| | - Lindsay M. Morton
- Radiation Epidemiology Branch, Division of Cancer Epidemiology and Genetics, National Cancer Institute, National Institutes of Health, Bethesda, Maryland, USA
| | - Cari M. Kitahara
- Radiation Epidemiology Branch, Division of Cancer Epidemiology and Genetics, National Cancer Institute, National Institutes of Health, Bethesda, Maryland, USA
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5
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Valcarcel B, Schonfeld SJ, Meyer CL, Brunson A, Cooley JJP, Abrahão R, Wun T, Auletta JJ, Gadalla SM, Engels E, Albert PS, Spellman SR, Rizzo JD, Shaw BE, Muffly L, Keegan THM, Morton LM. Comparison of Vital Status, Cause of Death, and Follow-Up after Hematopoietic Cell Transplantation in Linked Center for International Blood and Marrow Transplant Research and California Cancer Registry Data, 1991 to 2018. Transplant Cell Ther 2024; 30:239.e1-239.e11. [PMID: 37981238 PMCID: PMC10872486 DOI: 10.1016/j.jtct.2023.11.011] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/15/2023] [Revised: 11/09/2023] [Accepted: 11/10/2023] [Indexed: 11/21/2023]
Abstract
Assessing outcomes following hematopoietic cell transplantation (HCT) poses challenges due to the necessity for systematic and often prolonged patient follow-up. Linking the HCT database of the Center for International Blood and Marrow Transplant Research (CIBMTR) with cancer registry data may improve long-term outcome ascertainment, but the reliability of mortality data in death certificates from cancer registries among HCT recipients remains unknown. We compared the classification of vital status and primary cause of death (COD), as well as the length of follow-up between the CIBMTR and California Cancer Registry (CCR) to assess the possibility of supplementing the CIBMTR with cancer registry data. This retrospective study leveraged a linked CIBMTR-CCR dataset. We included patients who were California residents at the time of HCT and received a first allogeneic (allo) or autologous (auto) HCT for a hematologic malignancy diagnosed during 1991-2016. Follow-up was through 2018. We analyzed 18,450 patients (alloHCT, n = 8232; autoHCT, n = 10,218). The Vital status agreement was 97.7% for alloHCT and 97.2% for autoHCT. Unknown COD was higher in CIBMTR (12.9%) than in CCR (1.6%). After excluding patients with unknown COD information, the overall agreement of primary COD (cancer versus noncancer) was 53.7% for alloHCT and 83.2% for autoHCT. This agreement was lower within the first 100 days post-HCT (alloHCT, 31.0%; autoHCT, 54.6%). Compared with CIBMTR, deaths due to cancer were higher in CCR (alloHCT, 90.0%; autoHCT, 90.1% versus alloHCT, 47.3%; autoHCT, 82.5% in CIBMTR). CIBMTR reports more frequently noncancer-related deaths, including graft-versus-host disease and infections. The cumulative incidence of cancer-specific mortality at 20 years differed, particularly for alloHCT (CCR, 53.7%; CIBMTR, 27.6%). The median follow-up among alive patients was longer in CCR (alloHCT, 6.0 years; autoHCT, 4.7 years) than in CIBMTR (alloHCT, 5.0 years; autoHCT, 3.8 years). Our findings highlight the completeness of vital status data in CIBMTR but reveal substantial disagreement in primary COD. Consequently, caution is required when interpreting HCT studies that use only death certificates to estimate cause-specific mortality outcomes. Improving the accuracy of COD registration and follow-up completeness by developing communication pathways between cancer registries and hospital-based cohorts may enhance our understanding of late effects and long-term outcomes among HCT survivors.
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Affiliation(s)
- Bryan Valcarcel
- Radiation Epidemiology Branch, Division of Cancer Epidemiology and Genetics, National Cancer Institute, National Institutes of Health, Department of Health and Human Services, Bethesda, Maryland.
| | - Sara J Schonfeld
- Radiation Epidemiology Branch, Division of Cancer Epidemiology and Genetics, National Cancer Institute, National Institutes of Health, Department of Health and Human Services, Bethesda, Maryland
| | - Christa L Meyer
- Center for International Blood and Marrow Transplant Research, National Marrow Donor Program/Be The Match, Minneapolis, Minnesota
| | - Ann Brunson
- Center for Oncology Hematology Outcomes Research and Training, Division of Hematology and Oncology, University of California Davis Comprehensive Cancer Center, Sacramento, California
| | - Julianne J P Cooley
- California Cancer Reporting and Epidemiologic Surveillance Program, University of California Davis Comprehensive Cancer Center, Sacramento, California
| | - Renata Abrahão
- Center for Oncology Hematology Outcomes Research and Training, Division of Hematology and Oncology, University of California Davis Comprehensive Cancer Center, Sacramento, California
| | - Ted Wun
- Center for Oncology Hematology Outcomes Research and Training, Division of Hematology and Oncology, University of California Davis Comprehensive Cancer Center, Sacramento, California
| | - Jeffery J Auletta
- Center for International Blood and Marrow Transplant Research, National Marrow Donor Program/Be The Match, Minneapolis, Minnesota; Divisions of Hematology/Oncology/BMT and Infectious Diseases, Nationwide Children's Hospital, Columbus, Ohio
| | - Shahinaz M Gadalla
- Clinical Genetics Branch, Division of Cancer Epidemiology and Genetics, National Cancer Institute, National Institutes of Health, Department of Health and Human Services, Bethesda, Maryland
| | - Eric Engels
- Infections and Immunoepidemiology Branch, Division of Cancer Epidemiology and Genetics, National Cancer Institute, National Institutes of Health, Department of Health and Human Services, Bethesda, Maryland
| | - Paul S Albert
- Biostatistics Branch, Division of Cancer Epidemiology and Genetics, National Cancer Institute, National Institutes of Health, Department of Health and Human Services, Bethesda, Maryland
| | - Stephen R Spellman
- Center for International Blood and Marrow Transplant Research, National Marrow Donor Program/Be The Match, Minneapolis, Minnesota
| | - J Douglas Rizzo
- Center for International Blood and Marrow Transplant Research, Department of Medicine, Medical College of Wisconsin, Milwaukee, Wisconsin
| | - Bronwen E Shaw
- Center for International Blood and Marrow Transplant Research, Department of Medicine, Medical College of Wisconsin, Milwaukee, Wisconsin
| | - Lori Muffly
- Division of Blood and Marrow Transplantation and Cellular Therapy, Stanford University, Stanford, California
| | - Theresa H M Keegan
- Center for Oncology Hematology Outcomes Research and Training, Division of Hematology and Oncology, University of California Davis Comprehensive Cancer Center, Sacramento, California
| | - Lindsay M Morton
- Radiation Epidemiology Branch, Division of Cancer Epidemiology and Genetics, National Cancer Institute, National Institutes of Health, Department of Health and Human Services, Bethesda, Maryland
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Steidl C, Kridel R, Binkley M, Morton LM, Chadburn A. The pathobiology of select adolescent young adult lymphomas. EJHaem 2023; 4:892-901. [PMID: 38024596 PMCID: PMC10660115 DOI: 10.1002/jha2.785] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 05/06/2023] [Revised: 08/01/2023] [Accepted: 08/05/2023] [Indexed: 12/01/2023]
Abstract
Lymphoid cancers are among the most frequent cancers diagnosed in adolescents and young adults (AYA), ranging from approximately 30%-35% of cancer diagnoses in adolescent patients (age 10-19) to approximately 10% in patients aged 30-39 years. Moreover, the specific distribution of lymphoid cancer types varies by age with substantial shifts in the subtype distributions between pediatric, AYA, adult, and older adult patients. Currently, biology studies specific to AYA lymphomas are rare and therefore insight into age-related pathogenesis is incomplete. This review focuses on the paradigmatic epidemiology and pathogenesis of select lymphomas, occurring in the AYA patient population. With the example of posttransplant lymphoproliferative disorders, nodular lymphocyte-predominant Hodgkin lymphoma, follicular lymphoma (incl. pediatric-type follicular lymphoma), and mediastinal lymphomas (incl. classic Hodgkin lymphoma, primary mediastinal large B cell lymphoma and mediastinal gray zone lymphoma), we here illustrate the current state-of-the-art in lymphoma classification, recent molecular insights including genomics, and translational opportunities. To improve outcome and quality of life, international collaboration in consortia dedicated to AYA lymphoma is needed to overcome challenges related to siloed biospecimens and data collections as well as to develop studies designed specifically for this unique population.
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Affiliation(s)
- Christian Steidl
- Centre for Lymphoid CancerBC CancerVancouverBritish ColumbiaCanada
| | - Robert Kridel
- Princess Margaret Cancer Centre ‐ University Health NetworkTorontoOntarioCanada
| | - Michael Binkley
- Department of Radiation OncologyStanford UniversityStanfordCaliforniaUSA
| | - Lindsay M. Morton
- Radiation Epidemiology BranchDivision of Cancer Epidemiology and GeneticsNational Cancer InstituteRockvilleMarylandUSA
| | - Amy Chadburn
- Department of Pathology and Laboratory MedicineWeill Cornell MedicineNew YorkNew YorkUSA
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Pophali PA, Morton LM, Parsons SK, Hodgson D, Thanarajasingam G, Thompson C, Habermann TM, Savage KJ. Critical gaps in understanding treatment outcomes in adolescents and young adults with lymphoma: A review of current data. EJHaem 2023; 4:927-933. [PMID: 38024619 PMCID: PMC10660371 DOI: 10.1002/jha2.778] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 06/03/2023] [Revised: 08/15/2023] [Accepted: 08/16/2023] [Indexed: 12/01/2023]
Abstract
Adolescents and young adults (AYA) with lymphoma experience treatment-related effects in the short and long term that impact their quality of life and survivorship experience. The effort to improve outcomes for AYA lymphoma survivors requires understanding the available literature, identifying current knowledge deficits, designing better clinical trials incorporating the patient perspective, using novel tools to bridge data gaps and building survivorship guidelines that translate research to clinical practice. This review article summarizes the current state of lymphoma treatment-related outcomes in AYAs and provides future direction.
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Affiliation(s)
- Priyanka A. Pophali
- Division of HematologyMedical Oncology and Palliative CareUniversity of Wisconsin, Carbone Cancer CenterMadisonWisconsinUSA
| | - Lindsay M. Morton
- Division of Cancer Epidemiology and GeneticsNational Cancer InstituteNational Institutes of HealthBethesdaMarylandUSA
| | - Susan K. Parsons
- Department of MedicineDivision of Hematology/OncologyTufts Medical Centerand the Tufts University School of MedicineBostonMassachusettsUSA
| | - David Hodgson
- Department of Radiation OncologyPrincess Margaret HospitalTorontoOntarioCanada
| | | | | | | | - Kerry J. Savage
- Centre for Lymphoid CancerBritish Columbia CancerVancouverBritish ColumbiaCanada
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8
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Berndt SI, Vijai J, Benavente Y, Camp NJ, Nieters A, Wang Z, Smedby KE, Kleinstern G, Hjalgrim H, Besson C, Skibola CF, Morton LM, Brooks-Wilson AR, Teras LR, Breeze C, Arias J, Adami HO, Albanes D, Anderson KC, Ansell SM, Bassig B, Becker N, Bhatti P, Birmann BM, Boffetta P, Bracci PM, Brennan P, Brown EE, Burdett L, Cannon-Albright LA, Chang ET, Chiu BCH, Chung CC, Clavel J, Cocco P, Colditz G, Conde L, Conti DV, Cox DG, Curtin K, Casabonne D, De Vivo I, Diepstra A, Diver WR, Dogan A, Edlund CK, Foretova L, Fraumeni JF, Gabbas A, Ghesquières H, Giles GG, Glaser S, Glenn M, Glimelius B, Gu J, Habermann TM, Haiman CA, Haioun C, Hofmann JN, Holford TR, Holly EA, Hutchinson A, Izhar A, Jackson RD, Jarrett RF, Kaaks R, Kane E, Kolonel LN, Kong Y, Kraft P, Kricker A, Lake A, Lan Q, Lawrence C, Li D, Liebow M, Link BK, Magnani C, Maynadie M, McKay J, Melbye M, Miligi L, Milne RL, Molina TJ, Monnereau A, Montalvan R, North KE, Novak AJ, Onel K, Purdue MP, Rand KA, Riboli E, Riby J, Roman E, Salles G, Sborov DW, Severson RK, Shanafelt TD, Smith MT, Smith A, Song KW, Song L, Southey MC, Spinelli JJ, Staines A, Stephens D, Sutherland HJ, Tkachuk K, Thompson CA, Tilly H, Tinker LF, Travis RC, Turner J, Vachon CM, Vajdic CM, Van Den Berg A, Van Den Berg DJ, Vermeulen RCH, Vineis P, Wang SS, Weiderpass E, Weiner GJ, Weinstein S, Doo NW, Ye Y, Yeager M, Yu K, Zeleniuch-Jacquotte A, Zhang Y, Zheng T, Ziv E, Sampson J, Chatterjee N, Offit K, Cozen W, Wu X, Cerhan JR, Chanock SJ, Slager SL, Rothman N. Correction: Distinct germline genetic susceptibility profiles identified for common non-Hodgkin lymphoma subtypes. Leukemia 2023; 37:2142. [PMID: 37666943 DOI: 10.1038/s41375-023-01978-x] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 09/06/2023]
Affiliation(s)
- Sonja I Berndt
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, Bethesda, Md, USA.
| | - Joseph Vijai
- Department of Medicine, Memorial Sloan Kettering Cancer Center, New York, NY, USA
| | - Yolanda Benavente
- Cancer Epidemiology Research Programme, Catalan Institute of Oncology-IDIBELL, L'Hospitalet de Llobregat, Barcelona, Spain
- CIBER de Epidemiología y Salud Pública (CIBERESP), Barcelona, Spain
| | - Nicola J Camp
- Department of Internal Medicine and Huntsman Cancer Institute, University of Utah School of Medicine, Salt Lake City, UT, USA
| | - Alexandra Nieters
- Institute for Immunodeficiency, University Medical Center Freiburg, Freiburg, Germany
| | - Zhaoming Wang
- Department of Epidemiology and Cancer Control, St. Jude Children's Research Hospital, Memphis, TN, USA
- Laboratory of Translational Genomics, Division of Cancer Epidemiology and Genetics, National Cancer Institute, Bethesda, MD, USA
| | - Karin E Smedby
- Department of Medicine, Solna, Karolinska Institutet, Stockholm, Sweden
- Hematology Center, Karolinska University Hospital, Stockholm, Sweden
| | | | - Henrik Hjalgrim
- Department of Epidemiology Research, Division of Health Surveillance and Research, Statens Serum Institut, Copenhagen, Denmark
- Department of Clinical Medicine, University of Copenhagen, Copenhagen, Denmark
- Department of Haematology, Rigshospitalet, Copenhagen, Denmark
- Danish Cancer Society Research Center, Danish Cancer Society, Copenhagen, Denmark
| | - Caroline Besson
- Centre Hospitalier de Versailles, Le Chesnay, France
- Université Paris-Saclay, UVSQ, Inserm, Équipe "Exposome et Hérédité", CESP, Villejuif, France
| | - Christine F Skibola
- Department of Hematology and Medical Oncology, Emory University School of Medicine, Atlanta, GA, USA
| | - Lindsay M Morton
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, Bethesda, Md, USA
| | - Angela R Brooks-Wilson
- Genome Sciences Centre, BC Cancer Agency, Vancouver, BC, Canada
- Department of Biomedical Physiology and Kinesiology, Simon Fraser University, Burnaby, BC, Canada
| | - Lauren R Teras
- Department of Population Science, American Cancer Society, Atlanta, GA, USA
| | - Charles Breeze
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, Bethesda, Md, USA
| | - Joshua Arias
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, Bethesda, Md, USA
| | - Hans-Olov Adami
- Department of Medical Epidemiology and Biostatistics, Karolinska Institutet, Stockholm, Sweden
- Department of Epidemiology, Harvard T.H. Chan School of Public Health, Boston, MA, USA
- Institute of Health and Society, Clinical Effectiveness Research Group, University of Oslo, Oslo, Norway
| | - Demetrius Albanes
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, Bethesda, Md, USA
| | - Kenneth C Anderson
- Department of Medical Oncology, Dana-Farber Cancer Institute, Harvard Medical School, Boston, MA, USA
| | - Stephen M Ansell
- Department of Internal Medicine, Mayo Clinic, Rochester, MN, USA
| | - Bryan Bassig
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, Bethesda, Md, USA
| | - Nikolaus Becker
- Division of Cancer Epidemiology, German Cancer Research Center (DKFZ), Heidelberg, Baden-Württemberg, Germany
| | - Parveen Bhatti
- Division of Public Health Sciences, Fred Hutchinson Cancer Research Center, Seattle, WA, USA
| | - Brenda M Birmann
- Channing Division of Network Medicine, Department of Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, MA, USA
| | - Paolo Boffetta
- Stony Brook Cancer Center, Stony Brook University, Stony Brook, New York, 11794, NY, USA
- Department of Medical and Surgical Sciences, University of Bologna, Bologna, 41026, Italy
| | - Paige M Bracci
- Department of Epidemiology and Biostatistics, University of California San Francisco, San Francisco, CA, USA
| | - Paul Brennan
- International Agency for Research on Cancer (IARC), Lyon, France
| | - Elizabeth E Brown
- Department of Pathology, University of Alabama at Birmingham, Birmingham, AL, USA
| | - Laurie Burdett
- Cancer Genomics Research Laboratory, Division of Cancer Epidemiology and Genetics, National Cancer Institute, Gaithersburg, MA, USA
| | - Lisa A Cannon-Albright
- Department of Internal Medicine and Huntsman Cancer Institute, University of Utah School of Medicine, Salt Lake City, UT, USA
- George E. Wahlen Department of Veterans Affairs Medical Center, Salt Lake City, UT, USA
| | - Ellen T Chang
- Department of Epidemiology and Biostatistics, University of California San Francisco, San Francisco, CA, USA
- Center for Health Sciences, Exponent, Inc., Menlo Park, CA, USA
| | - Brian C H Chiu
- Department of Public Health Sciences University of Chicago, Chicago, IL, USA
| | - Charles C Chung
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, Bethesda, Md, USA
| | - Jacqueline Clavel
- CRESS, UMR1153, INSERM, Villejuif, France
- Université de Paris-Cité, Villejuif, France
| | - Pierluigi Cocco
- Centre for Occupational and Environmental Health, Division of Population Science, Health Services Research & Primary Care, University of Manchester, Manchester, UK
| | - Graham Colditz
- Division of Public Health Sciences, Department of Surgery, Washington University School of Medicine, St. Louis, MO, USA
| | - Lucia Conde
- Bill Lyons Informatics Centre, UCL Cancer Institute, University College London, London, UK
| | - David V Conti
- Department of Population and Public Health Sciences, USC Keck School of Medicine, University of Southern California, Los Angeles, CA, USA
| | - David G Cox
- INSERM U1052, Cancer Research Center of Lyon, Centre Léon Bérard, Lyon, France
| | - Karen Curtin
- Department of Internal Medicine and Huntsman Cancer Institute, University of Utah School of Medicine, Salt Lake City, UT, USA
| | - Delphine Casabonne
- Cancer Epidemiology Research Programme, Catalan Institute of Oncology-IDIBELL, L'Hospitalet de Llobregat, Barcelona, Spain
- CIBER de Epidemiología y Salud Pública (CIBERESP), Barcelona, Spain
| | - Immaculata De Vivo
- Department of Epidemiology, Harvard T.H. Chan School of Public Health, Boston, MA, USA
- Channing Division of Network Medicine, Department of Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, MA, USA
| | - Arjan Diepstra
- Department of Pathology and Medical Biology, University of Groningen, University Medical Center Groningen, Groningen, The Netherlands
| | - W Ryan Diver
- Department of Population Science, American Cancer Society, Atlanta, GA, USA
| | - Ahmet Dogan
- Departments of Laboratory Medicine and Pathology, Memorial Sloan Kettering Cancer Center, New York, NY, USA
| | - Christopher K Edlund
- Department of Population and Public Health Sciences, USC Keck School of Medicine, University of Southern California, Los Angeles, CA, USA
| | - Lenka Foretova
- Department of Cancer Epidemiology and Genetics, Masaryk Memorial Cancer Institute, Brno, Czech Republic
| | - Joseph F Fraumeni
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, Bethesda, Md, USA
| | - Attilio Gabbas
- Department of Public Health, Clinical and Molecular Medicine, University of Cagliari, Monserrato, Cagliari, Italy
| | - Hervé Ghesquières
- Department of Hematology, Hospices Civils de Lyon, Lyon Sud Hospital, Pierre Benite, France
- CIRI, Centre International de Recherche en Infectiologie, Team Lymphoma Immuno-Biology, Univ Lyon, Inserm, U1111, Université Claude Bernard Lyon 1, CNRS, UMR5308, ENS de Lyon, Lyon, France
| | - Graham G Giles
- Cancer Epidemiology Division, Cancer Council Victoria, Melbourne, VIC, Australia
- Centre for Epidemiology and Biostatistics, Melbourne School of Population and Global Health, University of Melbourne, Melbourne, VIC, Australia
- Precision Medicine, School of Clinical Sciences at Monash Health, Monash University, Clayton, VC, Australia
| | - Sally Glaser
- Cancer Prevention Institute of California, Fremont, CA, USA
- Stanford Cancer Institute, Stanford, CA, USA
| | - Martha Glenn
- Department of Internal Medicine and Huntsman Cancer Institute, University of Utah School of Medicine, Salt Lake City, UT, USA
| | - Bengt Glimelius
- Department of Immunology, Genetics and Pathology, Uppsala University, Uppsala, Sweden
| | - Jian Gu
- Department of Epidemiology, MD Anderson Cancer Center, Houston, TX, USA
| | | | - Christopher A Haiman
- Department of Population and Public Health Sciences, USC Keck School of Medicine, University of Southern California, Los Angeles, CA, USA
| | - Corinne Haioun
- Lymphoid Malignancies Unit, Henri Mondor Hospital and University Paris Est, Créteil, France
| | - Jonathan N Hofmann
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, Bethesda, Md, USA
| | - Theodore R Holford
- Department of Biostatistics, Yale School of Public Health, New Haven, CT, USA
| | - Elizabeth A Holly
- Department of Epidemiology and Biostatistics, University of California San Francisco, San Francisco, CA, USA
| | - Amy Hutchinson
- Cancer Genomics Research Laboratory, Division of Cancer Epidemiology and Genetics, National Cancer Institute, Gaithersburg, MA, USA
| | - Aalin Izhar
- Department of Medicine, Memorial Sloan Kettering Cancer Center, New York, NY, USA
| | - Rebecca D Jackson
- Division of Endocrinology, Diabetes and Metabolism, The Ohio State University, Columbus, OH, USA
| | - Ruth F Jarrett
- MRC-University of Glasgow Centre for Virus Research, Glasgow, UK
| | - Rudolph Kaaks
- Division of Cancer Epidemiology, German Cancer Research Center (DKFZ), Heidelberg, Baden-Württemberg, Germany
| | - Eleanor Kane
- Department of Health Sciences, University of York, York, UK
| | - Laurence N Kolonel
- Cancer Epidemiology Program, University of Hawaii Cancer Center, Honolulu, HI, USA
| | - Yinfei Kong
- Information Systems and Decision Sciences, California State University, Fullerton, Fullerton, CA, USA
| | - Peter Kraft
- Department of Epidemiology, Harvard T.H. Chan School of Public Health, Boston, MA, USA
- Department of Biostatistics, Harvard T.H. Chan School of Public Health, Boston, MA, USA
| | - Anne Kricker
- Sydney School of Public Health, The University of Sydney, Sydney, NSW, Australia
| | - Annette Lake
- MRC-University of Glasgow Centre for Virus Research, Glasgow, UK
| | - Qing Lan
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, Bethesda, Md, USA
| | | | - Dalin Li
- F. Widjaja Family Foundation Inflammatory Bowel and Immunobiology Research Institute, Cedars-Sinai Medical Center, Los Angeles, CA, USA
| | - Mark Liebow
- Department of Internal Medicine, Mayo Clinic, Rochester, MN, USA
| | - Brian K Link
- Department of Internal Medicine, Carver College of Medicine, The University of Iowa, Iowa City, IA, USA
| | - Corrado Magnani
- CPO-Piemonte and Unit of Medical Statistics and Epidemiology, Department Translational Medicine, University of Piemonte Orientale, Novara, Italy
| | - Marc Maynadie
- INSERM U1231, EA 4184, Registre des Hémopathies Malignes de Côte d'Or, University of Burgundy and Dijon University Hospital, Dijon, France
| | - James McKay
- International Agency for Research on Cancer (IARC), Lyon, France
| | - Mads Melbye
- Department of Clinical Medicine, University of Copenhagen, Copenhagen, Denmark
- Jebsen Center for Genetic epidemiology, NTNU, Trondheim, Norway
- Danish Cancer Society Research Center, Copenhagen, Denmark
- Department of Genetics, Stanford University Medical School, Stanford, CA, USA
| | - Lucia Miligi
- Environmental and Occupational Epidemiology Unit, Cancer Prevention and Research Institute (ISPO), Florence, Italy
| | - Roger L Milne
- Cancer Epidemiology Division, Cancer Council Victoria, Melbourne, VIC, Australia
- Centre for Epidemiology and Biostatistics, Melbourne School of Population and Global Health, University of Melbourne, Melbourne, VIC, Australia
- Precision Medicine, School of Clinical Sciences at Monash Health, Monash University, Clayton, VC, Australia
| | - Thierry J Molina
- Department of Pathology, APHP, Necker and Robert Debré, Université Paris Cité, Institut Imagine, INSERM U1163, Paris, France
| | - Alain Monnereau
- CRESS, UMR1153, INSERM, Villejuif, France
- Registre des hémopathies malignes de la Gironde, Institut Bergonié, Bordeaux, Cedex, France
| | | | - Kari E North
- Department of Epidemiology, University of North Carolina at Chapel Hill, Chapel Hill, NC, USA
- Carolina Center for Genome Sciences, University of North Carolina at Chapel Hill, Chapel Hill, NC, USA
| | - Anne J Novak
- Department of Internal Medicine, Mayo Clinic, Rochester, MN, USA
| | - Kenan Onel
- Donald and Barbara Zucker School of Medicine, Hofstra/Northwell, Hempstead, New York, NY, USA
| | - Mark P Purdue
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, Bethesda, Md, USA
| | - Kristin A Rand
- Department of Population and Public Health Sciences, USC Keck School of Medicine, University of Southern California, Los Angeles, CA, USA
| | - Elio Riboli
- School of Public Health, Imperial College London, London, United Kingdom
| | - Jacques Riby
- Department of Epidemiology, School of Public Health and Comprehensive Cancer Center, University of Alabama at Birmingham, Birmingham, AL, USA
- Division of Environmental Health Sciences, University of California Berkeley School of Public Health, Berkeley, CA, USA
| | - Eve Roman
- Department of Health Sciences, University of York, York, UK
| | - Gilles Salles
- Department of Medicine, Memorial Sloan Kettering Cancer Center, New York, NY, USA
| | - Douglas W Sborov
- Department of Internal Medicine and Huntsman Cancer Institute, University of Utah School of Medicine, Salt Lake City, UT, USA
| | - Richard K Severson
- Department of Family Medicine and Public Health Sciences, Wayne State University, Detroit, MI, USA
| | - Tait D Shanafelt
- Department of Medicine, Stanford University School of Medicine, Stanford, CA, USA
| | - Martyn T Smith
- Division of Environmental Health Sciences, University of California Berkeley School of Public Health, Berkeley, CA, USA
| | | | - Kevin W Song
- Leukemia/Bone Marrow Transplantation Program, BC Cancer Agency, Vancouver, BC, Canada
- Department of Medicine, University of British Columbia, Vancouver, BC, Canada
| | - Lei Song
- Center for Cancer Research, National Cancer Institute, Frederick, MA, USA
| | - Melissa C Southey
- Cancer Epidemiology Division, Cancer Council Victoria, Melbourne, VIC, Australia
- Precision Medicine, School of Clinical Sciences at Monash Health, Monash University, Clayton, VC, Australia
- Department of Clinical Pathology, Melbourne Medical School, The University of Melbourne, Melbourne, VIC, 3010, Australia
| | - John J Spinelli
- Cancer Control Research, BC Cancer Agency, Vancouver, BC, Canada
- School of Population and Public Health, University of British Columbia, Vancouver, BC, Canada
| | - Anthony Staines
- School of Nursing, Psychotherapy and Community Health, Dublin City University, Dublin, Ireland
| | - Deborah Stephens
- Department of Internal Medicine and Huntsman Cancer Institute, University of Utah School of Medicine, Salt Lake City, UT, USA
| | - Heather J Sutherland
- Leukemia/Bone Marrow Transplantation Program, BC Cancer Agency, Vancouver, BC, Canada
- Department of Medicine, University of British Columbia, Vancouver, BC, Canada
| | - Kaitlyn Tkachuk
- Department of Medicine, Memorial Sloan Kettering Cancer Center, New York, NY, USA
| | | | - Hervé Tilly
- Centre Henri Becquerel, Université de Rouen, Rouen, France
| | - Lesley F Tinker
- Division of Public Health Sciences, Fred Hutchinson Cancer Research Center, Seattle, WA, USA
| | - Ruth C Travis
- Cancer Epidemiology Unit, University of Oxford, Oxford, UK
| | - Jenny Turner
- Faculty of Medicine and Health Sciences, Macquarie University, Sydney, NSW, Australia
- Department of Histopathology, Douglass Hanly Moir Pathology, Sydney, NSW, Australia
| | - Celine M Vachon
- Department of Quantitative Health Sciences, Mayo Clinic, Rochester, MN, USA
| | - Claire M Vajdic
- The Kirby Institute, University of New South Wales, Sydney, NSW, Australia
| | - Anke Van Den Berg
- Department of Pathology and Medical Biology, University of Groningen, University Medical Center Groningen, Groningen, The Netherlands
| | - David J Van Den Berg
- Department of Population and Public Health Sciences, USC Keck School of Medicine, University of Southern California, Los Angeles, CA, USA
| | - Roel C H Vermeulen
- Institute for Risk Assessment Sciences, Utrecht University, Utrecht, The Netherlands
- Julius Center for Health Sciences and Primary Care, University Medical Center Utrecht, Utrecht, The Netherlands
| | - Paolo Vineis
- MRC-PHE Centre for Environment and Health, School of Public Health, Imperial College London, London, UK
- Human Genetics Foundation, Turin, Italy
| | - Sophia S Wang
- Division of Health Analytics, City of Hope Beckman Research Institute, Duarte, CA, USA
| | | | - George J Weiner
- Department of Internal Medicine, Carver College of Medicine, The University of Iowa, Iowa City, IA, USA
| | - Stephanie Weinstein
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, Bethesda, Md, USA
| | - Nicole Wong Doo
- Concord Clinical School, University of Sydney, Concord, NSW, Australia
| | - Yuanqing Ye
- Department of Epidemiology, MD Anderson Cancer Center, Houston, TX, USA
| | - Meredith Yeager
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, Bethesda, Md, USA
- Cancer Genomics Research Laboratory, Division of Cancer Epidemiology and Genetics, National Cancer Institute, Gaithersburg, MA, USA
| | - Kai Yu
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, Bethesda, Md, USA
| | - Anne Zeleniuch-Jacquotte
- Department of Population Health, New York University School of Medicine, New York, NY, USA
- Department of Environmental Medicine, New York University School of Medicine, New York, NY, USA
- Perlmutter Cancer Center, NYU Langone Medical Center, New York, NY, USA
| | - Yawei Zhang
- Department of Environmental Health Sciences, Yale School of Public Health, New Haven, CT, USA
| | - Tongzhang Zheng
- Department of Epidemiology, Brown University, Providence, RI, USA
| | - Elad Ziv
- Division of General Internal Medicine, Department of Medicine, Institute of Human Genetics, Helen Diller Family Comprehensive Cancer Center, University of California, San Francisco, San Francisco, CA, USA
| | - Joshua Sampson
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, Bethesda, Md, USA
| | - Nilanjan Chatterjee
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, Bethesda, Md, USA
- Department of Biostatistics, Bloomberg School of Public Health, Johns Hopkins University, Baltimore, MA, USA
- Department of Oncology, School of Medicine, Johns Hopkins University, Baltimore, MA, USA
| | - Kenneth Offit
- Department of Medicine, Memorial Sloan Kettering Cancer Center, New York, NY, USA
| | - Wendy Cozen
- Chao Family Comprehensive Cancer Center, University of California, Irvine, Irvine, CA, USA
| | - Xifeng Wu
- Department of Epidemiology, MD Anderson Cancer Center, Houston, TX, USA
| | - James R Cerhan
- Department of Health Sciences Research, Mayo Clinic, Rochester, MN, USA
| | - Stephen J Chanock
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, Bethesda, Md, USA
| | - Susan L Slager
- Department of Health Sciences Research, Mayo Clinic, Rochester, MN, USA
| | - Nathaniel Rothman
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, Bethesda, Md, USA
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Pithadia KJ, Advani PG, Citrin DE, Bekelman JE, Withrow DR, Berrington de Gonzalez A, Morton LM, Schonfeld SJ. Comparing Risk for Second Primary Cancers After Intensity-Modulated vs 3-Dimensional Conformal Radiation Therapy for Prostate Cancer, 2002-2015. JAMA Oncol 2023; 9:1119-1123. [PMID: 37289449 PMCID: PMC10251240 DOI: 10.1001/jamaoncol.2023.1638] [Citation(s) in RCA: 3] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/30/2022] [Accepted: 03/28/2023] [Indexed: 06/09/2023]
Abstract
Importance Compared with 3-dimensional conformal radiotherapy (3DCRT), intensity-modulated radiotherapy (IMRT) can spare nearby tissue but may result in increased scatter radiation to distant normal tissue, including red bone marrow. It is unclear whether second primary cancer risk varies by radiotherapy type. Objective To evaluate whether radiotherapy type (IMRT vs 3DCRT) is associated with second primary cancer risk among older men treated for prostate cancer. Design, Setting, and Participants In this retrospective cohort study of a linked database of Medicare claims and Surveillance, Epidemiology, and End Results (SEER) Program population-based cancer registries (2002-2015), male patients aged 66 to 84 diagnosed with a first primary nonmetastatic prostate cancer from 2002 to 2013, as reported to SEER, and who received radiotherapy (IMRT and/or 3DCRT without proton therapy) within the first year following prostate cancer were identified. The data were analyzed from January 2022 through June 2022. Exposure Receipt of IMRT and 3DCRT, based on Medicare claims. Main Outcomes and Measures The association between radiotherapy type and development of a subsequent hematologic cancer at least 2 years after prostate cancer diagnosis or a subsequent solid cancer at least 5 years after prostate cancer diagnosis. Hazard ratios (HRs) and 95% CIs were estimated using multivariable Cox proportional regression. Results The study included 65 235 2-year first primary prostate cancer survivors (median [range] age, 72 [66-82] years; 82.2% White patients) and 45 811 5-year survivors with similar demographic characteristics (median [range] age, 72 [66-79] years; 82.4% White patients). Among 2-year prostate cancer survivors (median [range] follow-up, 4.6 [0.003-12.0] years), 1107 second hematologic cancers were diagnosed (IMRT, 603; 3DCRT, 504). Radiotherapy type was not associated with second hematologic cancers overall or any specific types evaluated. Among 5-year survivors (median [range] follow-up, 3.1 [0.003-9.0] years), 2688 men were diagnosed with a second primary solid cancer (IMRT, 1306; 3DCRT, 1382). The overall HR for IMRT vs 3DCRT was 0.91 (95% CI, 0.83-0.99). This inverse association was restricted to the earlier calendar year period of prostate cancer diagnosis (HR2002-2005 = 0.85; 95% CI, 0.76-0.94; HR2006-2010 = 1.14; 95% CI, 0.96-1.36), with a similar pattern observed for colon cancer (HR2002-2005 = 0.66; 95% CI, 0.46-0.94; HR2006-2010 = 1.06; 95% CI, 0.59-1.88). Conclusions and Relevance The results of this large, population-based cohort study suggest that IMRT for prostate cancer is not associated with an increased risk of second primary cancers, either solid or hematologic, and any inverse associations may be associated with calendar year of treatment.
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Affiliation(s)
- Kishan J. Pithadia
- Radiation Epidemiology Branch, Division of Cancer Epidemiology and Genetics, National Cancer Institute, National Institutes of Health, Bethesda, Maryland
| | - Pragati G. Advani
- Radiation Epidemiology Branch, Division of Cancer Epidemiology and Genetics, National Cancer Institute, National Institutes of Health, Bethesda, Maryland
| | - Deborah E. Citrin
- Radiation Oncology Branch, Center for Cancer Research, National Cancer Institute, National Institutes of Health, Bethesda, Maryland
| | - Justin E. Bekelman
- Department of Radiation Oncology, Abramson Cancer Center, University of Pennsylvania Perelman School of Medicine, Philadelphia
| | - Diana R. Withrow
- Radiation Epidemiology Branch, Division of Cancer Epidemiology and Genetics, National Cancer Institute, National Institutes of Health, Bethesda, Maryland
| | - Amy Berrington de Gonzalez
- Radiation Epidemiology Branch, Division of Cancer Epidemiology and Genetics, National Cancer Institute, National Institutes of Health, Bethesda, Maryland
| | - Lindsay M. Morton
- Radiation Epidemiology Branch, Division of Cancer Epidemiology and Genetics, National Cancer Institute, National Institutes of Health, Bethesda, Maryland
| | - Sara J. Schonfeld
- Radiation Epidemiology Branch, Division of Cancer Epidemiology and Genetics, National Cancer Institute, National Institutes of Health, Bethesda, Maryland
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10
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Morton LM, Curtis RE, Linet MS, Schonfeld SJ, Advani PG, Dalal NH, Sasse EC, Dores GM. Trends in risk for therapy-related myelodysplastic syndrome/acute myeloid leukemia after initial chemo/immunotherapy for common and rare lymphoid neoplasms, 2000-2018. EClinicalMedicine 2023; 61:102060. [PMID: 37457112 PMCID: PMC10344829 DOI: 10.1016/j.eclinm.2023.102060] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/30/2023] [Revised: 06/08/2023] [Accepted: 06/09/2023] [Indexed: 07/18/2023] Open
Abstract
Background Historically, survivors of common lymphoid neoplasms (LNs) had increased risks for therapy-related myelodysplastic syndrome/acute myeloid leukemia (tMDS/AML). Despite major treatment advances in the treatment of LNs over the last two decades, a comprehensive evaluation of tMDS/AML trends following both common and rare LNs treated in this contemporary period is lacking. Methods In US cancer registries during 2000-2018, we identified 1496 tMDS/AML cases among 186,503 adults who were treated with initial chemo/immunotherapy for first primary LN and survived ≥1 year. We quantified tMDS/AML standardized incidence ratios (SIRs), excess absolute risks (EARs, per 10,000 person-years), and cumulative incidence. Findings The highest tMDS/AML risks occurred after precursor leukemia/lymphoma (SIR = 39, EAR = 30), Burkitt leukemia/lymphoma (SIR = 20, EAR = 24), peripheral T-cell lymphoma (SIR = 12, EAR = 23), chronic lymphocytic leukemia/small lymphocytic lymphoma (CLL/SLL; SIR = 9.0, EAR = 27), and mantle cell lymphoma (SIR = 8.5, EAR = 25). Elevated risks (SIRs = 4.2-6.9, EARs = 4.9-15) also were observed after all other LN subtypes except hairy cell leukemia and mycosis fungoides/Sézary syndrome. Among patients treated more recently, tMDS/AML risks were significantly higher after CLL/SLL (SIR2000-2005 = 4.8, SIR2012-2017 = 10, Ptrend = 0.0043), significantly lower after Hodgkin (SIR2000-2005 = 15, SIR2012-2017 = 6.3, Ptrend = 0.024) and marginal zone (SIR2000-2005 = 7.5, SIR2012-2017 = 2.3, Ptrend = 0.015) lymphomas, and non-significantly lower after mantle cell lymphoma (SIR2000-2005 = 10, SIR2012-2017 = 3.2, Ptrend = 0.054), lymphoplasmacytic lymphoma/Waldenström macroglobulinemia (SIR2000-2005 = 6.9, SIR2012-2017 = 1.0, Ptrend = 0.067), and plasma cell neoplasms (SIR2000-2005 = 5.4, SIR2012-2017 = 3.1, Ptrend = 0.051). EAR and cumulative incidence trends generally were similar to SIR trends. Median survival after tMDS/AML was 8.0 months (interquartile range, 3.0-22.0). Interpretation Although tMDS/AML risks are significantly elevated after initial chemo/immunotherapy for most LNs, patients treated more recently have lower tMDS/AML risks, except after CLL/SLL. Though rare, the poor prognosis following tMDS/AML emphasizes the importance of continued efforts to reduce treatment-associated toxicity. Funding This research was supported in part by the Intramural Research Program of the National Cancer Institute, National Institutes of Health. LMM, GMD, REC, and CBS verified the data, and all authors had access to the data and made the decision to submit for publication.
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Affiliation(s)
- Lindsay M. Morton
- Radiation Epidemiology Branch, Division of Cancer Epidemiology and Genetics, National Cancer Institute, NIH, DHHS, Bethesda, MD, USA
| | - Rochelle E. Curtis
- Radiation Epidemiology Branch, Division of Cancer Epidemiology and Genetics, National Cancer Institute, NIH, DHHS, Bethesda, MD, USA
| | - Martha S. Linet
- Radiation Epidemiology Branch, Division of Cancer Epidemiology and Genetics, National Cancer Institute, NIH, DHHS, Bethesda, MD, USA
| | - Sara J. Schonfeld
- Radiation Epidemiology Branch, Division of Cancer Epidemiology and Genetics, National Cancer Institute, NIH, DHHS, Bethesda, MD, USA
| | - Pragati G. Advani
- Radiation Epidemiology Branch, Division of Cancer Epidemiology and Genetics, National Cancer Institute, NIH, DHHS, Bethesda, MD, USA
- Roswell Park Comprehensive Cancer Center, Buffalo, NY, USA
| | - Nicole H. Dalal
- Radiation Epidemiology Branch, Division of Cancer Epidemiology and Genetics, National Cancer Institute, NIH, DHHS, Bethesda, MD, USA
- Department of Internal Medicine, University of California San Francisco School of Medicine, San Francisco, CA, USA
| | - Elizabeth C. Sasse
- Radiation Epidemiology Branch, Division of Cancer Epidemiology and Genetics, National Cancer Institute, NIH, DHHS, Bethesda, MD, USA
| | - Graça M. Dores
- Radiation Epidemiology Branch, Division of Cancer Epidemiology and Genetics, National Cancer Institute, NIH, DHHS, Bethesda, MD, USA
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11
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Lee OW, Rodrigues C, Lin SH, Luo W, Jones K, Brown DW, Zhou W, Karlins E, Khan SM, Baulande S, Raynal V, Surdez D, Reynaud S, Rubio RA, Zaidi S, Grossetête S, Ballet S, Lapouble E, Laurence V, Pierron G, Gaspar N, Corradini N, Marec-Bérard P, Rothman N, Dagnall CL, Burdett L, Manning M, Wyatt K, Yeager M, Chari R, Leisenring WM, Kulozik AE, Kriebel J, Meitinger T, Strauch K, Kirchner T, Dirksen U, Mirabello L, Tucker MA, Tirode F, Armstrong GT, Bhatia S, Robison LL, Yasui Y, Romero-Pérez L, Hartmann W, Metzler M, Diver WR, Lori A, Freedman ND, Hoover RN, Morton LM, Chanock SJ, Grünewald TGP, Delattre O, Machiela MJ. Targeted long-read sequencing of the Ewing sarcoma 6p25.1 susceptibility locus identifies germline-somatic interactions with EWSR1-FLI1 binding. Am J Hum Genet 2023; 110:427-441. [PMID: 36787739 PMCID: PMC10027473 DOI: 10.1016/j.ajhg.2023.01.017] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/29/2022] [Accepted: 01/23/2023] [Indexed: 02/16/2023] Open
Abstract
Ewing sarcoma (EwS) is a rare bone and soft tissue malignancy driven by chromosomal translocations encoding chimeric transcription factors, such as EWSR1-FLI1, that bind GGAA motifs forming novel enhancers that alter nearby expression. We propose that germline microsatellite variation at the 6p25.1 EwS susceptibility locus could impact downstream gene expression and EwS biology. We performed targeted long-read sequencing of EwS blood DNA to characterize variation and genomic features important for EWSR1-FLI1 binding. We identified 50 microsatellite alleles at 6p25.1 and observed that EwS-affected individuals had longer alleles (>135 bp) with more GGAA repeats. The 6p25.1 GGAA microsatellite showed chromatin features of an EWSR1-FLI1 enhancer and regulated expression of RREB1, a transcription factor associated with RAS/MAPK signaling. RREB1 knockdown reduced proliferation and clonogenic potential and reduced expression of cell cycle and DNA replication genes. Our integrative analysis at 6p25.1 details increased binding of longer GGAA microsatellite alleles with acquired EWSR-FLI1 to promote Ewing sarcomagenesis by RREB1-mediated proliferation.
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Affiliation(s)
- Olivia W Lee
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, Bethesda, MD 20892, USA; Department of Bioinformatics and Computational Biology, The University of Texas MD Anderson Cancer Center, Houston, TX 77030, USA
| | - Calvin Rodrigues
- Inserm U830, PSL Université, Research Center, Institut Curie, 75005 Paris, France; SIREDO Oncology Centre, Institut Curie, 75005 Paris, France
| | - Shu-Hong Lin
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, Bethesda, MD 20892, USA
| | - Wen Luo
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, Bethesda, MD 20892, USA; Cancer Genomics Research Laboratory, Frederick National Laboratory for Cancer Research, Leidos Biomedical Research Inc, Frederick, MD 21701, USA
| | - Kristine Jones
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, Bethesda, MD 20892, USA; Cancer Genomics Research Laboratory, Frederick National Laboratory for Cancer Research, Leidos Biomedical Research Inc, Frederick, MD 21701, USA
| | - Derek W Brown
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, Bethesda, MD 20892, USA
| | - Weiyin Zhou
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, Bethesda, MD 20892, USA; Cancer Genomics Research Laboratory, Frederick National Laboratory for Cancer Research, Leidos Biomedical Research Inc, Frederick, MD 21701, USA
| | - Eric Karlins
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, Bethesda, MD 20892, USA; Cancer Genomics Research Laboratory, Frederick National Laboratory for Cancer Research, Leidos Biomedical Research Inc, Frederick, MD 21701, USA
| | - Sairah M Khan
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, Bethesda, MD 20892, USA
| | - Sylvain Baulande
- ICGex Next-Generation Sequencing Platform, PSL Université, Research Center, Institut Curie, 75005 Paris, France
| | - Virginie Raynal
- ICGex Next-Generation Sequencing Platform, PSL Université, Research Center, Institut Curie, 75005 Paris, France
| | - Didier Surdez
- Inserm U830, PSL Université, Research Center, Institut Curie, 75005 Paris, France; SIREDO Oncology Centre, Institut Curie, 75005 Paris, France; Balgrist University Hospital, Faculty of Medicine, University of Zurich (UZH), Zurich, Switzerland
| | - Stephanie Reynaud
- SIREDO Oncology Centre, Institut Curie, 75005 Paris, France; Unité de Génétique Somatique, Department of Genetics, Institut Curie Hospital, 75005 Paris, France
| | - Rebeca Alba Rubio
- Max-Eder Research Group for Pediatric Sarcoma Biology, Institute of Pathology, Faculty of Medicine, LMU, 80337 Munich, Germany
| | - Sakina Zaidi
- Inserm U830, PSL Université, Research Center, Institut Curie, 75005 Paris, France; SIREDO Oncology Centre, Institut Curie, 75005 Paris, France
| | - Sandrine Grossetête
- Inserm U830, PSL Université, Research Center, Institut Curie, 75005 Paris, France; SIREDO Oncology Centre, Institut Curie, 75005 Paris, France
| | - Stelly Ballet
- SIREDO Oncology Centre, Institut Curie, 75005 Paris, France; Unité de Génétique Somatique, Department of Genetics, Institut Curie Hospital, 75005 Paris, France
| | - Eve Lapouble
- SIREDO Oncology Centre, Institut Curie, 75005 Paris, France; Unité de Génétique Somatique, Department of Genetics, Institut Curie Hospital, 75005 Paris, France
| | | | - Gaelle Pierron
- SIREDO Oncology Centre, Institut Curie, 75005 Paris, France; Unité de Génétique Somatique, Department of Genetics, Institut Curie Hospital, 75005 Paris, France
| | - Nathalie Gaspar
- Department of Oncology for Child and Adolescent, Institut Gustave Roussy, 94800 Villejuif, France
| | - Nadège Corradini
- Institute for Paediatric Haematology and Oncology, Leon Bérard Cancer Centre, University of Lyon, 69008 Lyon, France
| | - Perrine Marec-Bérard
- Institute for Paediatric Haematology and Oncology, Leon Bérard Cancer Centre, University of Lyon, 69008 Lyon, France
| | - Nathaniel Rothman
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, Bethesda, MD 20892, USA
| | - Casey L Dagnall
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, Bethesda, MD 20892, USA; Cancer Genomics Research Laboratory, Frederick National Laboratory for Cancer Research, Leidos Biomedical Research Inc, Frederick, MD 21701, USA
| | - Laurie Burdett
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, Bethesda, MD 20892, USA; Cancer Genomics Research Laboratory, Frederick National Laboratory for Cancer Research, Leidos Biomedical Research Inc, Frederick, MD 21701, USA
| | - Michelle Manning
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, Bethesda, MD 20892, USA; Cancer Genomics Research Laboratory, Frederick National Laboratory for Cancer Research, Leidos Biomedical Research Inc, Frederick, MD 21701, USA
| | - Kathleen Wyatt
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, Bethesda, MD 20892, USA; Cancer Genomics Research Laboratory, Frederick National Laboratory for Cancer Research, Leidos Biomedical Research Inc, Frederick, MD 21701, USA
| | - Meredith Yeager
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, Bethesda, MD 20892, USA; Cancer Genomics Research Laboratory, Frederick National Laboratory for Cancer Research, Leidos Biomedical Research Inc, Frederick, MD 21701, USA
| | - Raj Chari
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, Bethesda, MD 20892, USA; Genome Modification Core Laboratory, Frederick National Laboratory for Cancer Research, Frederick, MD 21701, USA
| | - Wendy M Leisenring
- Cancer Prevention and Clinical Statistics Programs, Fred Hutchinson Cancer Research Center, Seattle, WA 98109, USA
| | - Andreas E Kulozik
- University Children's Hospital of Heidelberg, 69120 Heidelberg, Germany
| | - Jennifer Kriebel
- Research Unit of Molecular Epidemiology, Helmholtz Zentrum München, German Research Center for Environmental Health, 85764 Neuherberg, Germany; Institute of Epidemiology, Helmholtz Zentrum München, German Research Center for Environmental Health, 85764 Neuherberg, Germany; German Center for Diabetes Research (DZD), 85764 München-Neuherberg, Germany
| | - Thomas Meitinger
- Institute of Human Genetics, Helmholtz Zentrum München, German Research Center for Environmental Health, 85764 Neuherberg, Germany; Institute of Human Genetics, Technische Universität München, 80333 Munich, Germany
| | - Konstantin Strauch
- Institute of Genetic Epidemiology, Helmholtz Zentrum München, German Research Center for Environmental Health, 85764 Neuherberg, Germany; Chair of Genetic Epidemiology, IBE, Faculty of Medicine, LMU, 80539 Munich, Germany
| | - Thomas Kirchner
- Division of Translational Pediatric Sarcoma Research, German Cancer Research Center (DKFZ), German Cancer Consortium (DKTK), 69120 Heidelberg, Germany; Hopp-Children's Cancer Center (KiTZ), Heidelberg, Germany; Institute of Pathology, Faculty of Medicine, LMU, 80337 Munich, Germany
| | - Uta Dirksen
- University Children's Hospital of Essen, 45147 Essen, Germany
| | - Lisa Mirabello
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, Bethesda, MD 20892, USA
| | - Margaret A Tucker
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, Bethesda, MD 20892, USA
| | - Franck Tirode
- Inserm U830, PSL Université, Research Center, Institut Curie, 75005 Paris, France; SIREDO Oncology Centre, Institut Curie, 75005 Paris, France
| | - Gregory T Armstrong
- Department of Epidemiology and Cancer Control, St. Jude Children's Research Hospital, Memphis, TN 38105, USA
| | - Smita Bhatia
- Institute for Cancer Outcomes and Survivorship, University of Alabama, Birmingham, AL 35294, USA
| | - Leslie L Robison
- Department of Epidemiology and Cancer Control, St. Jude Children's Research Hospital, Memphis, TN 38105, USA
| | - Yutaka Yasui
- Department of Epidemiology and Cancer Control, St. Jude Children's Research Hospital, Memphis, TN 38105, USA
| | - Laura Romero-Pérez
- Max-Eder Research Group for Pediatric Sarcoma Biology, Institute of Pathology, Faculty of Medicine, LMU, 80337 Munich, Germany; Division of Translational Pediatric Sarcoma Research, German Cancer Research Center (DKFZ), German Cancer Consortium (DKTK), 69120 Heidelberg, Germany; Hopp-Children's Cancer Center (KiTZ), Heidelberg, Germany
| | - Wolfgang Hartmann
- Gerhard- Domagk Institute of Pathology, University Hospital of Münster, 48149 Münster, Germany
| | - Markus Metzler
- University Children's Hospital of Erlangen, 91054 Erlangen, Germany
| | - W Ryan Diver
- Department of Population Science, American Cancer Society, Atlanta, GA, USA
| | - Adriana Lori
- Department of Population Science, American Cancer Society, Atlanta, GA, USA
| | - Neal D Freedman
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, Bethesda, MD 20892, USA
| | - Robert N Hoover
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, Bethesda, MD 20892, USA
| | - Lindsay M Morton
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, Bethesda, MD 20892, USA
| | - Stephen J Chanock
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, Bethesda, MD 20892, USA
| | - Thomas G P Grünewald
- Max-Eder Research Group for Pediatric Sarcoma Biology, Institute of Pathology, Faculty of Medicine, LMU, 80337 Munich, Germany; Division of Translational Pediatric Sarcoma Research, German Cancer Research Center (DKFZ), German Cancer Consortium (DKTK), 69120 Heidelberg, Germany; Hopp-Children's Cancer Center (KiTZ), Heidelberg, Germany; Institute of Pathology, Heidelberg University Hospital, Heidelberg, Germany
| | - Olivier Delattre
- Inserm U830, PSL Université, Research Center, Institut Curie, 75005 Paris, France; SIREDO Oncology Centre, Institut Curie, 75005 Paris, France.
| | - Mitchell J Machiela
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, Bethesda, MD 20892, USA.
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12
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Dores GM, Linet MS, Curtis RE, Morton LM. Risks of therapy-related hematologic neoplasms beyond myelodysplastic syndromes and acute myeloid leukemia. Blood 2023; 141:951-955. [PMID: 36379026 PMCID: PMC10082352 DOI: 10.1182/blood.2022018051] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/10/2022] [Revised: 10/19/2022] [Accepted: 11/10/2022] [Indexed: 11/16/2022] Open
Affiliation(s)
- Graça M. Dores
- Radiation Epidemiology Branch, Division of Cancer Epidemiology and Genetics, Department of Health and Human Services, National Cancer Institute, National Institutes of Health, Bethesda, MD
| | - Martha S. Linet
- Radiation Epidemiology Branch, Division of Cancer Epidemiology and Genetics, Department of Health and Human Services, National Cancer Institute, National Institutes of Health, Bethesda, MD
| | - Rochelle E. Curtis
- Radiation Epidemiology Branch, Division of Cancer Epidemiology and Genetics, Department of Health and Human Services, National Cancer Institute, National Institutes of Health, Bethesda, MD
| | - Lindsay M. Morton
- Radiation Epidemiology Branch, Division of Cancer Epidemiology and Genetics, Department of Health and Human Services, National Cancer Institute, National Institutes of Health, Bethesda, MD
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13
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Kim J, Karyadi DM, Hartley SW, Zhu B, Wang M, Wu D, Song L, Armstrong GT, Bhatia S, Robison LL, Yasui Y, Carter B, Sampson JN, Freedman ND, Goldstein AM, Mirabello L, Chanock SJ, Morton LM, Savage SA, Stewart DR. Inflated expectations: Rare-variant association analysis using public controls. PLoS One 2023; 18:e0280951. [PMID: 36696392 PMCID: PMC9876209 DOI: 10.1371/journal.pone.0280951] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/02/2022] [Accepted: 01/12/2023] [Indexed: 01/26/2023] Open
Abstract
The use of publicly available sequencing datasets as controls (hereafter, "public controls") in studies of rare variant disease associations has great promise but can increase the risk of false-positive discovery. The specific factors that could contribute to inflated distribution of test statistics have not been systematically examined. Here, we leveraged both public controls, gnomAD v2.1 and several datasets sequenced in our laboratory to systematically investigate factors that could contribute to the false-positive discovery, as measured by λΔ95, a measure to quantify the degree of inflation in statistical significance. Analyses of datasets in this investigation found that 1) the significantly inflated distribution of test statistics decreased substantially when the same variant caller and filtering pipelines were employed, 2) differences in library prep kits and sequencers did not affect the false-positive discovery rate and, 3) joint vs. separate variant-calling of cases and controls did not contribute to the inflation of test statistics. Currently available methods do not adequately adjust for the high false-positive discovery. These results, especially if replicated, emphasize the risks of using public controls for rare-variant association tests in which individual-level data and the computational pipeline are not readily accessible, which prevents the use of the same variant-calling and filtering pipelines on both cases and controls. A plausible solution exists with the emergence of cloud-based computing, which can make it possible to bring containerized analytical pipelines to the data (rather than the data to the pipeline) and could avert or minimize these issues. It is suggested that future reports account for this issue and provide this as a limitation in reporting new findings based on studies that cannot practically analyze all data on a single pipeline.
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Affiliation(s)
- Jung Kim
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, Rockville, Maryland, United States of America
| | - Danielle M. Karyadi
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, Rockville, Maryland, United States of America
| | - Stephen W. Hartley
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, Rockville, Maryland, United States of America
| | - Bin Zhu
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, Rockville, Maryland, United States of America
| | - Mingyi Wang
- Cancer Genomics Research Laboratory, Division of Cancer Epidemiology and Genetics, National Cancer Institute, Rockville, Maryland, United States of America
- Leidos Biomedical Research, Inc., Frederick National Laboratory for Cancer Research, Frederick, Maryland, United States of America
| | - Dongjing Wu
- Cancer Genomics Research Laboratory, Division of Cancer Epidemiology and Genetics, National Cancer Institute, Rockville, Maryland, United States of America
- Leidos Biomedical Research, Inc., Frederick National Laboratory for Cancer Research, Frederick, Maryland, United States of America
| | - Lei Song
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, Rockville, Maryland, United States of America
| | - Gregory T. Armstrong
- Department of Epidemiology and Cancer Control, St. Jude Children’s Research Hospital, Memphis, Tennessee, United States of America
| | - Smita Bhatia
- Institute for Cancer Outcomes and Survivorship, University of Alabama at Birmingham, Birmingham, Alabama, United States of America
| | - Leslie L. Robison
- Department of Epidemiology and Cancer Control, St. Jude Children’s Research Hospital, Memphis, Tennessee, United States of America
| | - Yutaka Yasui
- Department of Epidemiology and Cancer Control, St. Jude Children’s Research Hospital, Memphis, Tennessee, United States of America
| | - Brian Carter
- Department of Population Science, American Cancer Society, Atlanta, Georgia, United States of America
| | - Joshua N. Sampson
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, Rockville, Maryland, United States of America
| | - Neal D. Freedman
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, Rockville, Maryland, United States of America
| | - Alisa M. Goldstein
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, Rockville, Maryland, United States of America
| | - Lisa Mirabello
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, Rockville, Maryland, United States of America
| | - Stephen J. Chanock
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, Rockville, Maryland, United States of America
| | - Lindsay M. Morton
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, Rockville, Maryland, United States of America
| | - Sharon A. Savage
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, Rockville, Maryland, United States of America
| | - Douglas R. Stewart
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, Rockville, Maryland, United States of America
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14
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Berndt SI, Vijai J, Benavente Y, Camp NJ, Nieters A, Wang Z, Smedby KE, Kleinstern G, Hjalgrim H, Besson C, Skibola CF, Morton LM, Brooks-Wilson AR, Teras LR, Breeze C, Arias J, Adami HO, Albanes D, Anderson KC, Ansell SM, Bassig B, Becker N, Bhatti P, Birmann BM, Boffetta P, Bracci PM, Brennan P, Brown EE, Burdett L, Cannon-Albright LA, Chang ET, Chiu BCH, Chung CC, Clavel J, Cocco P, Colditz G, Conde L, Conti DV, Cox DG, Curtin K, Casabonne D, De Vivo I, Diepstra A, Diver WR, Dogan A, Edlund CK, Foretova L, Fraumeni JF, Gabbas A, Ghesquières H, Giles GG, Glaser S, Glenn M, Glimelius B, Gu J, Habermann TM, Haiman CA, Haioun C, Hofmann JN, Holford TR, Holly EA, Hutchinson A, Izhar A, Jackson RD, Jarrett RF, Kaaks R, Kane E, Kolonel LN, Kong Y, Kraft P, Kricker A, Lake A, Lan Q, Lawrence C, Li D, Liebow M, Link BK, Magnani C, Maynadie M, McKay J, Melbye M, Miligi L, Milne RL, Molina TJ, Monnereau A, Montalvan R, North KE, Novak AJ, Onel K, Purdue MP, Rand KA, Riboli E, Riby J, Roman E, Salles G, Sborov DW, Severson RK, Shanafelt TD, Smith MT, Smith A, Song KW, Song L, Southey MC, Spinelli JJ, Staines A, Stephens D, Sutherland HJ, Tkachuk K, Thompson CA, Tilly H, Tinker LF, Travis RC, Turner J, Vachon CM, Vajdic CM, Van Den Berg A, Van Den Berg DJ, Vermeulen RCH, Vineis P, Wang SS, Weiderpass E, Weiner GJ, Weinstein S, Doo NW, Ye Y, Yeager M, Yu K, Zeleniuch-Jacquotte A, Zhang Y, Zheng T, Ziv E, Sampson J, Chatterjee N, Offit K, Cozen W, Wu X, Cerhan JR, Chanock SJ, Slager SL, Rothman N. Distinct germline genetic susceptibility profiles identified for common non-Hodgkin lymphoma subtypes. Leukemia 2022; 36:2835-2844. [PMID: 36273105 PMCID: PMC10337695 DOI: 10.1038/s41375-022-01711-0] [Citation(s) in RCA: 4] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/21/2022] [Revised: 05/22/2022] [Accepted: 09/15/2022] [Indexed: 11/08/2022]
Abstract
Lymphoma risk is elevated for relatives with common non-Hodgkin lymphoma (NHL) subtypes, suggesting shared genetic susceptibility across subtypes. To evaluate the extent of mutual heritability among NHL subtypes and discover novel loci shared among subtypes, we analyzed data from eight genome-wide association studies within the InterLymph Consortium, including 10,629 cases and 9505 controls. We utilized Association analysis based on SubSETs (ASSET) to discover loci for subsets of NHL subtypes and evaluated shared heritability across the genome using Genome-wide Complex Trait Analysis (GCTA) and polygenic risk scores. We discovered 17 genome-wide significant loci (P < 5 × 10-8) for subsets of NHL subtypes, including a novel locus at 10q23.33 (HHEX) (P = 3.27 × 10-9). Most subset associations were driven primarily by only one subtype. Genome-wide genetic correlations between pairs of subtypes varied broadly from 0.20 to 0.86, suggesting substantial heterogeneity in the extent of shared heritability among subtypes. Polygenic risk score analyses of established loci for different lymphoid malignancies identified strong associations with some NHL subtypes (P < 5 × 10-8), but weak or null associations with others. Although our analyses suggest partially shared heritability and biological pathways, they reveal substantial heterogeneity among NHL subtypes with each having its own distinct germline genetic architecture.
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Affiliation(s)
- Sonja I Berndt
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, Bethesda, Md, USA.
| | - Joseph Vijai
- Department of Medicine, Memorial Sloan Kettering Cancer Center, New York, NY, USA
| | - Yolanda Benavente
- Cancer Epidemiology Research Programme, Catalan Institute of Oncology-IDIBELL, L'Hospitalet de Llobregat, Barcelona, Spain
- CIBER de Epidemiología y Salud Pública (CIBERESP), Barcelona, Spain
| | - Nicola J Camp
- Department of Internal Medicine and Huntsman Cancer Institute, University of Utah School of Medicine, Salt Lake City, UT, USA
| | - Alexandra Nieters
- Institute for Immunodeficiency, University Medical Center Freiburg, Freiburg, Germany
| | - Zhaoming Wang
- Department of Epidemiology and Cancer Control, St. Jude Children's Research Hospital, Memphis, TN, USA
- Laboratory of Translational Genomics, Division of Cancer Epidemiology and Genetics, National Cancer Institute, Bethesda, MD, USA
| | - Karin E Smedby
- Department of Medicine, Solna, Karolinska Institutet, Stockholm, Sweden
- Hematology Center, Karolinska University Hospital, Stockholm, Sweden
| | | | - Henrik Hjalgrim
- Department of Epidemiology Research, Division of Health Surveillance and Research, Statens Serum Institut, Copenhagen, Denmark
- Department of Clinical Medicine, University of Copenhagen, Copenhagen, Denmark
- Department of Haematology, Rigshospitalet, Copenhagen, Denmark
- Danish Cancer Society Research Center, Danish Cancer Society, Copenhagen, Denmark
| | - Caroline Besson
- Centre Hospitalier de Versailles, Le Chesnay, France
- Université Paris-Saclay, UVSQ, Inserm, Équipe "Exposome et Hérédité", CESP, Villejuif, France
| | - Christine F Skibola
- Department of Hematology and Medical Oncology, Emory University School of Medicine, Atlanta, GA, USA
| | - Lindsay M Morton
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, Bethesda, Md, USA
| | - Angela R Brooks-Wilson
- Genome Sciences Centre, BC Cancer Agency, Vancouver, BC, Canada
- Department of Biomedical Physiology and Kinesiology, Simon Fraser University, Burnaby, BC, Canada
| | - Lauren R Teras
- Department of Population Science, American Cancer Society, Atlanta, GA, USA
| | - Charles Breeze
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, Bethesda, Md, USA
| | - Joshua Arias
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, Bethesda, Md, USA
| | - Hans-Olov Adami
- Department of Medical Epidemiology and Biostatistics, Karolinska Institutet, Stockholm, Sweden
- Department of Epidemiology, Harvard T.H. Chan School of Public Health, Boston, MA, USA
- Institute of Health and Society, Clinical Effectiveness Research Group, University of Oslo, Oslo, Norway
| | - Demetrius Albanes
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, Bethesda, Md, USA
| | - Kenneth C Anderson
- Department of Medical Oncology, Dana-Farber Cancer Institute, Harvard Medical School, Boston, MA, USA
| | - Stephen M Ansell
- Department of Internal Medicine, Mayo Clinic, Rochester, MN, USA
| | - Bryan Bassig
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, Bethesda, Md, USA
| | - Nikolaus Becker
- Division of Cancer Epidemiology, German Cancer Research Center (DKFZ), Heidelberg, Baden-Württemberg, Germany
| | - Parveen Bhatti
- Division of Public Health Sciences, Fred Hutchinson Cancer Research Center, Seattle, WA, USA
| | - Brenda M Birmann
- Channing Division of Network Medicine, Department of Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, MA, USA
| | - Paolo Boffetta
- Stony Brook Cancer Center, Stony Brook University, Stony Brook, New York, 11794, NY, USA
- Department of Medical and Surgical Sciences, University of Bologna, Bologna, 41026, Italy
| | - Paige M Bracci
- Department of Epidemiology and Biostatistics, University of California San Francisco, San Francisco, CA, USA
| | - Paul Brennan
- International Agency for Research on Cancer (IARC), Lyon, France
| | - Elizabeth E Brown
- Department of Pathology, University of Alabama at Birmingham, Birmingham, AL, USA
| | - Laurie Burdett
- Cancer Genomics Research Laboratory, Division of Cancer Epidemiology and Genetics, National Cancer Institute, Gaithersburg, MA, USA
| | - Lisa A Cannon-Albright
- Department of Internal Medicine and Huntsman Cancer Institute, University of Utah School of Medicine, Salt Lake City, UT, USA
- George E. Wahlen Department of Veterans Affairs Medical Center, Salt Lake City, UT, USA
| | - Ellen T Chang
- Department of Epidemiology and Biostatistics, University of California San Francisco, San Francisco, CA, USA
- Center for Health Sciences, Exponent, Inc., Menlo Park, CA, USA
| | - Brian C H Chiu
- Department of Public Health Sciences University of Chicago, Chicago, IL, USA
| | - Charles C Chung
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, Bethesda, Md, USA
| | - Jacqueline Clavel
- CRESS, UMR1153, INSERM, Villejuif, France
- Université de Paris-Cité, Villejuif, France
| | - Pierluigi Cocco
- Centre for Occupational and Environmental Health, Division of Population Science, Health Services Research & Primary Care, University of Manchester, Manchester, United Kingdom
| | - Graham Colditz
- Division of Public Health Sciences, Department of Surgery, Washington University School of Medicine, St. Louis, MO, USA
| | - Lucia Conde
- Bill Lyons Informatics Centre, UCL Cancer Institute, University College London, London, United Kingdom
| | - David V Conti
- Department of Population and Public Health Sciences, USC Keck School of Medicine, University of Southern California, Los Angeles, CA, USA
| | - David G Cox
- INSERM U1052, Cancer Research Center of Lyon, Centre Léon Bérard, Lyon, France
| | - Karen Curtin
- Department of Internal Medicine and Huntsman Cancer Institute, University of Utah School of Medicine, Salt Lake City, UT, USA
| | - Delphine Casabonne
- Cancer Epidemiology Research Programme, Catalan Institute of Oncology-IDIBELL, L'Hospitalet de Llobregat, Barcelona, Spain
- CIBER de Epidemiología y Salud Pública (CIBERESP), Barcelona, Spain
| | - Immaculata De Vivo
- Department of Epidemiology, Harvard T.H. Chan School of Public Health, Boston, MA, USA
- Channing Division of Network Medicine, Department of Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, MA, USA
| | - Arjan Diepstra
- Department of Pathology and Medical Biology, University of Groningen, University Medical Center Groningen, Groningen, The Netherlands
| | - W Ryan Diver
- Department of Population Science, American Cancer Society, Atlanta, GA, USA
| | - Ahmet Dogan
- Departments of Laboratory Medicine and Pathology, Memorial Sloan Kettering Cancer Center, New York, NY, USA
| | - Christopher K Edlund
- Department of Population and Public Health Sciences, USC Keck School of Medicine, University of Southern California, Los Angeles, CA, USA
| | - Lenka Foretova
- Department of Cancer Epidemiology and Genetics, Masaryk Memorial Cancer Institute, Brno, Czech Republic
| | - Joseph F Fraumeni
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, Bethesda, Md, USA
| | - Attilio Gabbas
- Department of Public Health, Clinical and Molecular Medicine, University of Cagliari, Monserrato, Cagliari, Italy
| | - Hervé Ghesquières
- Department of Hematology, Hospices Civils de Lyon, Lyon Sud Hospital, Pierre Benite, France
- CIRI, Centre International de Recherche en Infectiologie, Team Lymphoma Immuno-Biology, Univ Lyon, Inserm, U1111, Université Claude Bernard Lyon 1, CNRS, UMR5308, ENS de Lyon, Lyon, France
| | - Graham G Giles
- Cancer Epidemiology Division, Cancer Council Victoria, Melbourne, VC, Australia
- Centre for Epidemiology and Biostatistics, Melbourne School of Population and Global Health, University of Melbourne, Melbourne, VC, Australia
- Precision Medicine, School of Clinical Sciences at Monash Health, Monash University, Clayton, VC, Australia
| | - Sally Glaser
- Cancer Prevention Institute of California, Fremont, CA, USA
- Stanford Cancer Institute, Stanford, CA, USA
| | - Martha Glenn
- Department of Internal Medicine and Huntsman Cancer Institute, University of Utah School of Medicine, Salt Lake City, UT, USA
| | - Bengt Glimelius
- Department of Immunology, Genetics and Pathology, Uppsala University, Uppsala, Sweden
| | - Jian Gu
- Department of Epidemiology, MD Anderson Cancer Center, Houston, TX, USA
| | | | - Christopher A Haiman
- Department of Population and Public Health Sciences, USC Keck School of Medicine, University of Southern California, Los Angeles, CA, USA
| | - Corinne Haioun
- Lymphoid Malignancies Unit, Henri Mondor Hospital and University Paris Est, Créteil, France
| | - Jonathan N Hofmann
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, Bethesda, Md, USA
| | - Theodore R Holford
- Department of Biostatistics, Yale School of Public Health, New Haven, CT, USA
| | - Elizabeth A Holly
- Department of Epidemiology and Biostatistics, University of California San Francisco, San Francisco, CA, USA
| | - Amy Hutchinson
- Cancer Genomics Research Laboratory, Division of Cancer Epidemiology and Genetics, National Cancer Institute, Gaithersburg, MA, USA
| | - Aalin Izhar
- Department of Medicine, Memorial Sloan Kettering Cancer Center, New York, NY, USA
| | - Rebecca D Jackson
- Division of Endocrinology, Diabetes and Metabolism, The Ohio State University, Columbus, OH, USA
| | - Ruth F Jarrett
- MRC-University of Glasgow Centre for Virus Research, Glasgow, United Kingdom
| | - Rudolph Kaaks
- Division of Cancer Epidemiology, German Cancer Research Center (DKFZ), Heidelberg, Baden-Württemberg, Germany
| | - Eleanor Kane
- Department of Health Sciences, University of York, York, United Kingdom
| | - Laurence N Kolonel
- Cancer Epidemiology Program, University of Hawaii Cancer Center, Honolulu, HI, USA
| | - Yinfei Kong
- Information Systems and Decision Sciences, California State University, Fullerton, Fullerton, CA, USA
| | - Peter Kraft
- Department of Epidemiology, Harvard T.H. Chan School of Public Health, Boston, MA, USA
- Department of Biostatistics, Harvard T.H. Chan School of Public Health, Boston, MA, USA
| | - Anne Kricker
- Sydney School of Public Health, The University of Sydney, Sydney, NSW, Australia
| | - Annette Lake
- MRC-University of Glasgow Centre for Virus Research, Glasgow, United Kingdom
| | - Qing Lan
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, Bethesda, Md, USA
| | | | - Dalin Li
- F. Widjaja Family Foundation Inflammatory Bowel and Immunobiology Research Institute, Cedars-Sinai Medical Center, Los Angeles, CA, USA
| | - Mark Liebow
- Department of Internal Medicine, Mayo Clinic, Rochester, MN, USA
| | - Brian K Link
- Department of Internal Medicine, Carver College of Medicine, The University of Iowa, Iowa City, IA, USA
| | - Corrado Magnani
- CPO-Piemonte and Unit of Medical Statistics and Epidemiology, Department Translational Medicine, University of Piemonte Orientale, Novara, Italy
| | - Marc Maynadie
- INSERM U1231, EA 4184, Registre des Hémopathies Malignes de Côte d'Or, University of Burgundy and Dijon University Hospital, Dijon, France
| | - James McKay
- International Agency for Research on Cancer (IARC), Lyon, France
| | - Mads Melbye
- Department of Clinical Medicine, University of Copenhagen, Copenhagen, Denmark
- Jebsen Center for Genetic epidemiology, NTNU, Trondheim, Norway
- Danish Cancer Society Research Center, Copenhagen, Denmark
- Department of Genetics, Stanford University Medical School, Stanford, CA, USA
| | - Lucia Miligi
- Environmental and Occupational Epidemiology Unit, Cancer Prevention and Research Institute (ISPO), Florence, Italy
| | - Roger L Milne
- Cancer Epidemiology Division, Cancer Council Victoria, Melbourne, VC, Australia
- Centre for Epidemiology and Biostatistics, Melbourne School of Population and Global Health, University of Melbourne, Melbourne, VC, Australia
- Precision Medicine, School of Clinical Sciences at Monash Health, Monash University, Clayton, VC, Australia
| | - Thierry J Molina
- Department of Pathology, APHP, Necker and Robert Debré, Université Paris Cité, Institut Imagine, INSERM U1163, Paris, France
| | - Alain Monnereau
- CRESS, UMR1153, INSERM, Villejuif, France
- Registre des hémopathies malignes de la Gironde, Institut Bergonié, Bordeaux, Cedex, France
| | | | - Kari E North
- Department of Epidemiology, University of North Carolina at Chapel Hill, Chapel Hill, NC, USA
- Carolina Center for Genome Sciences, University of North Carolina at Chapel Hill, Chapel Hill, NC, USA
| | - Anne J Novak
- Department of Internal Medicine, Mayo Clinic, Rochester, MN, USA
| | - Kenan Onel
- Donald and Barbara Zucker School of Medicine, Hofstra/Northwell, Hempstead, New York, NY, USA
| | - Mark P Purdue
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, Bethesda, Md, USA
| | - Kristin A Rand
- Department of Population and Public Health Sciences, USC Keck School of Medicine, University of Southern California, Los Angeles, CA, USA
| | - Elio Riboli
- School of Public Health, Imperial College London, London, United Kingdom
| | - Jacques Riby
- Department of Epidemiology, School of Public Health and Comprehensive Cancer Center, University of Alabama at Birmingham, Birmingham, AL, USA
- Division of Environmental Health Sciences, University of California Berkeley School of Public Health, Berkeley, CA, USA
| | - Eve Roman
- Department of Health Sciences, University of York, York, United Kingdom
| | - Gilles Salles
- Department of Medicine, Memorial Sloan Kettering Cancer Center, New York, NY, USA
| | - Douglas W Sborov
- Department of Internal Medicine and Huntsman Cancer Institute, University of Utah School of Medicine, Salt Lake City, UT, USA
| | - Richard K Severson
- Department of Family Medicine and Public Health Sciences, Wayne State University, Detroit, MI, USA
| | - Tait D Shanafelt
- Department of Medicine, Stanford University School of Medicine, Stanford, CA, USA
| | - Martyn T Smith
- Division of Environmental Health Sciences, University of California Berkeley School of Public Health, Berkeley, CA, USA
| | - Alexandra Smith
- Department of Health Sciences, University of York, York, United Kingdom
| | - Kevin W Song
- Leukemia/Bone Marrow Transplantation Program, BC Cancer Agency, Vancouver, BC, Canada
- Department of Medicine, University of British Columbia, Vancouver, BC, Canada
| | - Lei Song
- Center for Cancer Research, National Cancer Institute, Frederick, MA, USA
| | - Melissa C Southey
- Cancer Epidemiology Division, Cancer Council Victoria, Melbourne, VC, Australia
- Precision Medicine, School of Clinical Sciences at Monash Health, Monash University, Clayton, VC, Australia
- Department of Clinical Pathology, Melbourne Medical School, The University of Melbourne, VC, 3010, Australia
| | - John J Spinelli
- Cancer Control Research, BC Cancer Agency, Vancouver, BC, Canada
- School of Population and Public Health, University of British Columbia, Vancouver, BC, Canada
| | - Anthony Staines
- School of Nursing, Psychotherapy and Community Health, Dublin City University, Dublin, Ireland
| | - Deborah Stephens
- Department of Internal Medicine and Huntsman Cancer Institute, University of Utah School of Medicine, Salt Lake City, UT, USA
| | - Heather J Sutherland
- Leukemia/Bone Marrow Transplantation Program, BC Cancer Agency, Vancouver, BC, Canada
- Department of Medicine, University of British Columbia, Vancouver, BC, Canada
| | - Kaitlyn Tkachuk
- Department of Medicine, Memorial Sloan Kettering Cancer Center, New York, NY, USA
| | | | - Hervé Tilly
- Centre Henri Becquerel, Université de Rouen, Rouen, France
| | - Lesley F Tinker
- Division of Public Health Sciences, Fred Hutchinson Cancer Research Center, Seattle, WA, USA
| | - Ruth C Travis
- Cancer Epidemiology Unit, University of Oxford, Oxford, United Kingdom
| | - Jenny Turner
- Faculty of Medicine and Health Sciences, Macquarie University, Sydney, NSW, Australia
- Department of Histopathology, Douglass Hanly Moir Pathology, Sydney, NSW, Australia
| | - Celine M Vachon
- Department of Quantitative Health Sciences, Mayo Clinic, Rochester, MN, USA
| | - Claire M Vajdic
- The Kirby Institute, University of New South Wales, Sydney, NSW, Australia
| | - Anke Van Den Berg
- Department of Pathology and Medical Biology, University of Groningen, University Medical Center Groningen, Groningen, The Netherlands
| | - David J Van Den Berg
- Department of Population and Public Health Sciences, USC Keck School of Medicine, University of Southern California, Los Angeles, CA, USA
| | - Roel C H Vermeulen
- Institute for Risk Assessment Sciences, Utrecht University, Utrecht, The Netherlands
- Julius Center for Health Sciences and Primary Care, University Medical Center Utrecht, Utrecht, The Netherlands
| | - Paolo Vineis
- MRC-PHE Centre for Environment and Health, School of Public Health, Imperial College London, London, United Kingdom
- Human Genetics Foundation, Turin, Italy
| | - Sophia S Wang
- Division of Health Analytics, City of Hope Beckman Research Institute, Duarte, CA, USA
| | | | - George J Weiner
- Department of Internal Medicine, Carver College of Medicine, The University of Iowa, Iowa City, IA, USA
| | - Stephanie Weinstein
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, Bethesda, Md, USA
| | - Nicole Wong Doo
- Concord Clinical School, University of Sydney, Concord, NSW, Australia
| | - Yuanqing Ye
- Department of Epidemiology, MD Anderson Cancer Center, Houston, TX, USA
| | - Meredith Yeager
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, Bethesda, Md, USA
- Cancer Genomics Research Laboratory, Division of Cancer Epidemiology and Genetics, National Cancer Institute, Gaithersburg, MA, USA
| | - Kai Yu
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, Bethesda, Md, USA
| | - Anne Zeleniuch-Jacquotte
- Department of Population Health, New York University School of Medicine, New York, NY, USA
- Department of Environmental Medicine, New York University School of Medicine, New York, NY, USA
- Perlmutter Cancer Center, NYU Langone Medical Center, New York, NY, USA
| | - Yawei Zhang
- Department of Environmental Health Sciences, Yale School of Public Health, New Haven, CT, USA
| | - Tongzhang Zheng
- Department of Epidemiology, Brown University, Providence, RI, USA
| | - Elad Ziv
- Division of General Internal Medicine, Department of Medicine, Institute of Human Genetics, Helen Diller Family Comprehensive Cancer Center, University of California, San Francisco, San Francisco, CA, USA
| | - Joshua Sampson
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, Bethesda, Md, USA
| | - Nilanjan Chatterjee
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, Bethesda, Md, USA
- Department of Biostatistics, Bloomberg School of Public Health, Johns Hopkins University, Baltimore, MA, USA
- Department of Oncology, School of Medicine, Johns Hopkins University, Baltimore, MA, USA
| | - Kenneth Offit
- Department of Medicine, Memorial Sloan Kettering Cancer Center, New York, NY, USA
| | - Wendy Cozen
- Chao Family Comprehensive Cancer Center, University of California, Irvine, Irvine, CA, USA
| | - Xifeng Wu
- Department of Epidemiology, MD Anderson Cancer Center, Houston, TX, USA
| | - James R Cerhan
- Department of Health Sciences Research, Mayo Clinic, Rochester, MN, USA
| | - Stephen J Chanock
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, Bethesda, Md, USA
| | - Susan L Slager
- Department of Health Sciences Research, Mayo Clinic, Rochester, MN, USA
| | - Nathaniel Rothman
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, Bethesda, Md, USA
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15
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Richard MA, Mostoufi-Moab S, Rathore N, Baedke J, Brown AL, Chanock SJ, Friedman DN, Gramatges MM, Howell RM, Kamdar KY, Leisenring WM, Meacham LR, Morton LM, Oeffinger K, Robison LL, Sapkota Y, Sklar CA, Armstrong GT, Bhatia S, Lupo PJ. Germline Genetic and Treatment-Related Risk Factors for Diabetes Mellitus in Survivors of Childhood Cancer: A Report From the Childhood Cancer Survivor Study and St Jude Lifetime Cohorts. JCO Precis Oncol 2022; 6:e2200239. [PMID: 36480781 PMCID: PMC10166479 DOI: 10.1200/po.22.00239] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/13/2022] Open
Abstract
PURPOSE To characterize germline genetic risk factors of diabetes mellitus among long-term survivors of childhood cancer. METHODS Adult survivors of childhood cancer from the Childhood Cancer Survivor Study (CCSS) Original Cohort (n = 5,083; 383 with diabetes) were used to conduct a discovery genome-wide association study. Replication was performed using the CCSS Expansion (n = 2,588; 40 with diabetes) and the St Jude Lifetime (SJLIFE; n = 3,351; 208 with diabetes) cohorts. Risk prediction models, stratified on exposure to abdominal radiation, were calculated using logistic regression including attained age, sex and body mass index, diagnosis, alkylating chemotherapy, age at cancer diagnosis, and a polygenic risk score (PRS) on the basis of 395 diabetes variants from the general population. Area under the receiver operating characteristic curve (AUC) was calculated for models on the basis of traditional risk factors, clinical risk factors, and PRS. RESULTS There was a genome-wide significant association of rs55849673-A with diabetes among survivors (odds ratio, 2.9; 95% CI, 2.0 to 4.2; P = 3.7 × 10-8), which is related to expression of ERCC6L2 in the Genotype-Tissue Expression project. The association of rs55849673-A was observed largely among survivors not exposed to abdominal radiation (odds ratio = 3.5, P = 1.1 × 10-7) and the frequency of rs55849673-A was consistently higher among diabetic survivors in the CCSS Expansion and SJLIFE cohorts. Risk prediction models including traditional diabetes risk factors, clinical risk factors and PRS had an optimism-corrected AUC of 0.801, with an AUC of 0.751 in survivors treated with abdominal radiation versus 0.813 in survivors who did not receive abdominal radiation. CONCLUSION There is evidence for a novel locus of diabetes among survivors not exposed to abdominal radiation. Further refinement and validation of clinic-based risk prediction models for diabetes among long-term survivors of childhood cancer is warranted.
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Affiliation(s)
- Melissa A Richard
- Section of Hematology-Oncology, Department of Pediatrics, Baylor College of Medicine, Houston, TX
| | - Sogol Mostoufi-Moab
- Division of Endocrinology and Division of Oncology, Department of Pediatrics, The Children's Hospital of Philadelphia, Philadelphia, PA
| | - Nisha Rathore
- Section of Hematology-Oncology, Department of Pediatrics, Baylor College of Medicine, Houston, TX
| | - Jessica Baedke
- Department of Epidemiology and Cancer Control, St Jude Children's Research Hospital, Memphis, TN
| | - Austin L Brown
- Section of Hematology-Oncology, Department of Pediatrics, Baylor College of Medicine, Houston, TX
| | - Stephen J Chanock
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, Rockville, MD
| | - Danielle N Friedman
- Department of Pediatrics, Memorial Sloan Kettering Cancer Center, New York, NY
| | - M Monica Gramatges
- Section of Hematology-Oncology, Department of Pediatrics, Baylor College of Medicine, Houston, TX
| | - Rebecca M Howell
- Division of Radiation Oncology, Department of Radiation Physics, MD Anderson Cancer Center, Houston, TX
| | - Kala Y Kamdar
- Section of Hematology-Oncology, Department of Pediatrics, Baylor College of Medicine, Houston, TX
| | - Wendy M Leisenring
- Clinical Research Division, Fred Hutchinson Cancer Research Center, Seattle, WA
| | - Lillian R Meacham
- Division of Hematology/Oncology/BMT, Department of Pediatrics, Emory University, Atlanta, GA
| | - Lindsay M Morton
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, Rockville, MD
| | - Kevin Oeffinger
- Department of Medicine, Duke University and Duke Cancer Institute, Durham, NC
| | - Leslie L Robison
- Department of Epidemiology and Cancer Control, St Jude Children's Research Hospital, Memphis, TN
| | - Yadav Sapkota
- Department of Epidemiology and Cancer Control, St Jude Children's Research Hospital, Memphis, TN
| | - Charles A Sklar
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, Rockville, MD
| | - Gregory T Armstrong
- Department of Epidemiology and Cancer Control, St Jude Children's Research Hospital, Memphis, TN.,Department of Oncology, St Jude Children's Research Hospital, Memphis, TN
| | - Smita Bhatia
- Institute for Cancer Outcomes and Survivorship, University of Alabama at Birmingham, Birmingham, AL
| | - Philip J Lupo
- Section of Hematology-Oncology, Department of Pediatrics, Baylor College of Medicine, Houston, TX
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16
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Pasqual E, Schonfeld S, Morton LM, Villoing D, Lee C, Berrington de González A, Kitahara CM. Reply to P. Petranović Ovčariček et al. J Clin Oncol 2022; 40:3465-3466. [PMID: 35709425 DOI: 10.1200/jco.22.00735] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/11/2023] Open
Affiliation(s)
- Elisa Pasqual
- Elisa Pasqual, PhD, Sara Schonfeld, PhD, Lindsay M. Morton, PhD, Daphnée Villoing, PhD, Choonsik Lee, PhD, Amy Berrington de González, PhD, and Cari M. Kitahara, PhD, Division of Cancer Epidemiology and Genetics, National Cancer Institute, Bethesda, MD
| | - Sara Schonfeld
- Elisa Pasqual, PhD, Sara Schonfeld, PhD, Lindsay M. Morton, PhD, Daphnée Villoing, PhD, Choonsik Lee, PhD, Amy Berrington de González, PhD, and Cari M. Kitahara, PhD, Division of Cancer Epidemiology and Genetics, National Cancer Institute, Bethesda, MD
| | - Lindsay M Morton
- Elisa Pasqual, PhD, Sara Schonfeld, PhD, Lindsay M. Morton, PhD, Daphnée Villoing, PhD, Choonsik Lee, PhD, Amy Berrington de González, PhD, and Cari M. Kitahara, PhD, Division of Cancer Epidemiology and Genetics, National Cancer Institute, Bethesda, MD
| | - Daphnée Villoing
- Elisa Pasqual, PhD, Sara Schonfeld, PhD, Lindsay M. Morton, PhD, Daphnée Villoing, PhD, Choonsik Lee, PhD, Amy Berrington de González, PhD, and Cari M. Kitahara, PhD, Division of Cancer Epidemiology and Genetics, National Cancer Institute, Bethesda, MD
| | - Choonsik Lee
- Elisa Pasqual, PhD, Sara Schonfeld, PhD, Lindsay M. Morton, PhD, Daphnée Villoing, PhD, Choonsik Lee, PhD, Amy Berrington de González, PhD, and Cari M. Kitahara, PhD, Division of Cancer Epidemiology and Genetics, National Cancer Institute, Bethesda, MD
| | - Amy Berrington de González
- Elisa Pasqual, PhD, Sara Schonfeld, PhD, Lindsay M. Morton, PhD, Daphnée Villoing, PhD, Choonsik Lee, PhD, Amy Berrington de González, PhD, and Cari M. Kitahara, PhD, Division of Cancer Epidemiology and Genetics, National Cancer Institute, Bethesda, MD
| | - Cari M Kitahara
- Elisa Pasqual, PhD, Sara Schonfeld, PhD, Lindsay M. Morton, PhD, Daphnée Villoing, PhD, Choonsik Lee, PhD, Amy Berrington de González, PhD, and Cari M. Kitahara, PhD, Division of Cancer Epidemiology and Genetics, National Cancer Institute, Bethesda, MD
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17
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Bassig BA, Hu W, Morton LM, Ji BT, Xu J, Linet MS, Kwong YL, Rothman N, Wong KF, Lan Q. Incidence of myeloid malignancies by subtype in Hong Kong and comparisons with Asian and white men and women in the United States. Leuk Lymphoma 2022; 63:1917-1924. [DOI: 10.1080/10428194.2022.2045593] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/18/2022]
Affiliation(s)
- Bryan A. Bassig
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, Bethesda, MD, USA
| | - Wei Hu
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, Bethesda, MD, USA
| | - Lindsay M. Morton
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, Bethesda, MD, USA
| | - Bu-Tian Ji
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, Bethesda, MD, USA
| | - Jun Xu
- School of Public Health, Li Ka Shing Faculty of Medicine, University of Hong Kong, Hong Kong
| | - Martha S. Linet
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, Bethesda, MD, USA
| | - Yok-Lam Kwong
- Department of Medicine, Professorial Block, Queen Mary Hospital, Pok Fu Lam, Hong Kong
| | - Nathaniel Rothman
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, Bethesda, MD, USA
| | - Kit-Fai Wong
- Department of Pathology, Queen Elizabeth Hospital, Kowloon, Hong Kong
| | - Qing Lan
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, Bethesda, MD, USA
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18
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Fahmideh MA, Tsavachidis S, Mack SC, Xiangjun X, Armstrong TS, Gilbert MR, Mirabello L, Bhatia S, Leisenring WM, Morton LM, Armstrong GT, Foss-Skiftesvik J, Hagen CM, Bybjerg-Grauholm J, Ghozal M, Bonaventure A, Clavel J, Bondy ML, Amos CI, Scheurer ME. Abstract 1448: Novel specific susceptibility loci identified for pediatric and adult ependymoma in first histology-specific genome-wide association study. Cancer Res 2022. [DOI: 10.1158/1538-7445.am2022-1448] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/16/2022]
Abstract
Abstract
Despite extensive research, a small proportion of the variants contributing to the genetic architecture of brain tumors have been reported. The published GWAS have been largely performed on pooled histological subtypes of glioma and most of these studies have been conducted primarily for adult tumors. Therefore, we aimed to perform the first GWAS specifically for ependymoma to identify the genetic variants associated with the risk of these tumors and to investigate the similarities/differences between the genetic architectures of adult and pediatric ependymomas.
Germline SNP-array data of ependymoma cases were obtained from nine studies or biobanks across the United States and Europe. Controls were randomly selected with the ratio of 10:1 from three of those studies and a separate publicly available database. Additionally, germline whole genome sequencing data on cases and controls from St Jude Cloud were utilized. In total, 483 pediatric cases and 265 adult cases and 5592 controls were included. The same quality control procedures were applied to all studies. Data were imputed based on the Haplotype Reference Consortium using EAGLE. Meta-analyses were performed based on GMMAT and logistic regression. The results were adjusted for sex, ancestry and PCs. PAINTOR was used to identify the plausible causal variants, and eQTL and gene enrichment analyses were performed.
We identified 16 independent significant SNPs which were specifically associated with pediatric ependymoma risk, of which 10 SNPs were plausible causal. The significant variants were located on 1q32.2 (KCNH1), 2p14 (MEIS1-AS3), 4p15.32 (LDB2), 6p21.32 (HLA-DQA), 6p21.33 (BX927178/CR759828), 7p21.3 (UMAD1), 11p12 (LRRC4C), 11q24.2 (KRT18P59), 14q24.3 (SPTLC2), and 21q11.2 (LOC112268283/FEM1AP1). The 18 identified independent significant SNPs associated with risk of adult ependymoma were located on 4p16.1 (SORCS2), 6p11.2, 6p21.31(KCTD20), 6p21.32 (HLA-DQA1), 7q31.32, 8p23.1 (LOC157273), 8q24.3 (PLEC), 10p13 (PTER), 11q23.3 (GRIK4), 19q13.11 (CEP89), and 22q11.1 (XKR3), of which 8 variants were plausible causal. One intronic variant associated with susceptibility of both pediatric and adult ependymomas was detected; rs68160486 (CCDC85A 2p16.1 PPediatric=3.41x10-8, PAdult=2.12x10-8).
The genetic architectures of adult and pediatric ependymomas appear to largely differ from one another. We identified novel variants for these tumors that have not been previously reported for GWAS of combined glioma subtypes. This analysis highlights the need to conduct additional GWAS of more refined glioma subtypes, perhaps even utilizing newer data on molecularly defined subtypes that are emerging in updated pathological classification schemes.
Citation Format: Maral Adel Fahmideh, Spiridon Tsavachidis, Stephen C. Mack, Xiao Xiangjun, Terri S. Armstrong, Mark R. Gilbert, NCI-Connect, iPSYCH Consortium, GICC, Lisa Mirabello, Smita Bhatia, Wendy M. Leisenring, Lindsay M. Morton, Gregory T. Armstrong, Jon Foss-Skiftesvik, Christian M. Hagen, Jonas Bybjerg-Grauholm, Manel Ghozal, Audrey Bonaventure, Jacqueline Clavel, Melissa L. Bondy, Christopher I. Amos, Michael E. Scheurer. Novel specific susceptibility loci identified for pediatric and adult ependymoma in first histology-specific genome-wide association study [abstract]. In: Proceedings of the American Association for Cancer Research Annual Meeting 2022; 2022 Apr 8-13. Philadelphia (PA): AACR; Cancer Res 2022;82(12_Suppl):Abstract nr 1448.
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Affiliation(s)
| | | | | | | | | | | | | | - Smita Bhatia
- 4University of Alabama at Birmingham, Birmingham, AL
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Sapkota Y, Ehrhardt MJ, Qin N, Wang Z, Liu Q, Qiu W, Shelton K, Shao Y, Plyler E, Mulder HL, Easton J, Michael JR, Burridge PW, Wang X, Wilson CL, Jefferies JL, Chow EJ, Oeffinger KC, Morton LM, Li C, Yang JJ, Zhang J, Bhatia S, Mulrooney DA, Hudson MM, Robison LL, Armstrong GT, Yasui Y. A novel locus on 6p21.2 for cancer treatment-induced cardiac dysfunction among childhood cancer survivors. J Natl Cancer Inst 2022; 114:1109-1116. [PMID: 35698272 DOI: 10.1093/jnci/djac115] [Citation(s) in RCA: 4] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/14/2022] [Revised: 03/31/2022] [Accepted: 06/01/2022] [Indexed: 11/14/2022] Open
Abstract
BACKGROUND Adult survivors of childhood cancer are at increased risk of cardiac late effects. METHODS Using whole-genome sequencing data from 1,870 survivors of European ancestry in the St. Jude Lifetime Cohort (SJLIFE) study, genetic variants were examined for association with ejection fraction (EF) and clinically assessed cancer therapy-induced cardiac dysfunction (CCD). Significant findings were validated in 301 SJLIFE survivors of African ancestry and 4,020 survivors of European ancestry from the Childhood Cancer Survivor Study (CCSS). All statistical tests were 2-sided. RESULTS A variant near KCNK17 showed genome-wide significant association with EF (rs2815063-A: EF reduction = 1.6%; P = 2.1 × 10-8) in SJLIFE survivors of European ancestry, which replicated in SJLIFE survivors of African ancestry (EF reduction: 1.5%; P = .004). The rs2815063-A also showed a 1.80-fold (P = .008) risk of severe/disabling or life-threatening CCD and replicated in 4,020 CCSS survivors of European ancestry (OR = 1.40; P = .039). Notably, rs2815063-A was specifically associated among survivors exposed to doxorubicin only, with a stronger effect on EF (3.3% EF reduction) and CCD (2.97-fold). Whole blood DNA methylation data in 1,651 SJLIFE survivors of European ancestry showed significant correlation of rs2815063-A with dysregulation of KCNK17 enhancers (false discovery rate <5%), which replicated in 263 survivors of African ancestry. Consistently, the rs2815063-A was associated with KCNK17 downregulation based on RNA-sequencing of 75 survivors. CONCLUSIONS Leveraging the two largest cohorts of childhood cancer survivors in North America and survivor-specific polygenomic functional data, we identified a novel risk locus for CCD which showed specificity with doxorubicin-induced cardiac dysfunction and highlighted dysregulation of KCNK17 as the likely molecular mechanism underlying this genetic association.
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Affiliation(s)
- Yadav Sapkota
- St. Jude Children's Research Hospital, Memphis, TN, USA
| | | | - Na Qin
- St. Jude Children's Research Hospital, Memphis, TN, USA
| | - Zhaoming Wang
- St. Jude Children's Research Hospital, Memphis, TN, USA
| | - Qi Liu
- University of Alberta, Edmonton, AB, Canada
| | - Weiyu Qiu
- University of Alberta, Edmonton, AB, Canada
| | - Kyla Shelton
- St. Jude Children's Research Hospital, Memphis, TN, USA
| | - Ying Shao
- St. Jude Children's Research Hospital, Memphis, TN, USA
| | - Emily Plyler
- St. Jude Children's Research Hospital, Memphis, TN, USA
| | | | - John Easton
- St. Jude Children's Research Hospital, Memphis, TN, USA
| | | | | | | | | | - John L Jefferies
- The University of Tennessee Heath Science Center, Memphis, TN, USA
| | - Eric J Chow
- Fred Hutchinson Cancer Research Center, WA, USA
| | | | | | - Chunliang Li
- St. Jude Children's Research Hospital, Memphis, TN, USA
| | - Jun J Yang
- St. Jude Children's Research Hospital, Memphis, TN, USA
| | - Jinghui Zhang
- St. Jude Children's Research Hospital, Memphis, TN, USA
| | - Smita Bhatia
- University of Alabama at Birmingham, Birmingham, AL, USA
| | | | | | | | | | - Yutaka Yasui
- St. Jude Children's Research Hospital, Memphis, TN, USA
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Pithadia K, Advani PG, Schonfeld SJ, Withrow D, Bekelman JE, Citrin DE, Berrington de González A, Morton LM. Evaluating risk for second primary cancers by radiotherapy technique in prostate cancer survivors. J Clin Oncol 2022. [DOI: 10.1200/jco.2022.40.16_suppl.12005] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/20/2022] Open
Abstract
12005 Background: Radiotherapy-related adverse effects such as the development of subsequent neoplasms cause significant morbidity among prostate cancer survivors. Advances in radiotherapy techniques, including intensity-modulated radiation therapy (IMRT) and proton beam radiotherapy (PBRT), have aimed to reduce exposure to adjacent healthy tissues to reduce adverse effects. Initial reports based on small sample sizes and limited follow up (through 2011) have suggested reduced risks for subsequent colon and rectal cancers following IMRT compared to 3D conformal radiotherapy (CRT) for prostate cancer patients, but not for subsequent bladder cancer. We sought to extend previous reports with larger sample size and longer follow up. Methods: We conducted a retrospective cohort study within the linked database of Surveillance, Epidemiology and End Results (SEER) cancer registries and Medicare claims. The cohort included men diagnosed with first primary non-metastatic prostate cancer at ages 66-84 during 2002-2011; received initial IMRT, PBRT, or CRT; and survived without developing a second primary cancer ≥5 years after diagnosis (follow up through 2016). Cox regression models estimated risks of second primary solid tumors after IMRT and PBRT vs CRT, adjusting for age at prostate cancer diagnosis, tumor grade, race, Charlson comorbidity score, and receipt of initial prostate cancer therapy. Results: The cohort (median follow-up = 8.4 years) included 51,020 patients, of whom 19,536 received CRT alone, 29,868 received IMRT without PBRT, and 1,616 received PBRT. Compared to patients who received CRT (n = 1,348, 7.0%), both IMRT (n = 1,289, 4.3%; hazard ratio [HR] = 0.87; 95% confidence interval [CI], 0.80-0.95) and PBRT (n = 83, 5.1%; HR = 0.77; 95% CI 0.62-0.97) showed a decrease in risk of developing any second solid malignancy. In analyses by second cancer type, risks of colon cancer (HR = 0.70; 95%CI, 0.52-0.94) and bladder cancer (HR = 0.79; 95%CI, 0.65-0.97) were significantly lower after IMRT than CRT, whereas no association was observed for anorectal cancers (HR = 1.00; 95%CI, 0.65-1.53). Further investigation by time since prostate cancer diagnosis revealed a time-dependent decrease after IMRT compared to CRT in risk for bladder cancer (HRs = 0.94, 0.87, 0.61 for 5-7.4, 7.5-9.9, and 10+ years respectively) and anorectal cancer (HRs = 1.22, 0.97, 0.78), whereas the opposite trend was observed for colon cancer (HRs = 0.70, 0.68, 1.05). Conclusions: In this large cohort with increased follow-up time compared with previous reports, we observed reduced risk of colon and bladder cancer with IMRT overall, as well as time-dependent patterns for bladder and anorectal cancer that were consistent with improved tumor targeting. Further research is needed with larger sample sizes to evaluate long-term effects after PBRT. Our study supports the value of quantifying adverse effects as radiotherapy techniques evolve.
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Affiliation(s)
| | | | - Sara J Schonfeld
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, National Institutes of Health, Bethesda, MD
| | - Diana Withrow
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, National Institutes of Health, Bethesda, MD
| | - Justin E. Bekelman
- Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA
| | - Deborah E. Citrin
- Radiation Oncology Branch, National Cancer Institute, National Institutes of Health, Bethesda, MD
| | - Amy Berrington de González
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, National Institutes of Health, Bethesda, MD
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Yeh JM, Ward ZJ, Stratton K, Armstrong GT, Chow EJ, Hudson MM, Morton LM, Oeffinger KC, Diller L, Leisenring WM. Improvements in life expectancy among childhood cancer survivors: Uneven gains and remaining challenges. J Clin Oncol 2022. [DOI: 10.1200/jco.2022.40.16_suppl.10050] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/20/2022] Open
Abstract
10050 Background: Childhood cancer survivors are at risk for shortened lifespan. Projections of life expectancy (LE) by diagnosis can provide benchmarks for assessing improvements over time. Methods: We developed a simulation model to project risk for common, life-threatening chronic health conditions (CHCs; heart failure, myocardial infarction, valvular disease, stroke, secondary breast cancer, colorectal cancer, glial tumors, sarcomas) and excess mortality among 5-year survivors, based on patient characteristics (sex, age at diagnosis, diagnosis) and treatment exposures (chemotherapy, radiation dose). Risk was estimated using statistical models and Childhood Cancer Survivor Study data. Age-related CHC risks (SEER, NHLBI) and competing mortality (CDC Wonder) were based on national databases. We used model calibration to identify parameter sets that generated outcomes consistent with observed data. Model outcomes included conditional LE and 10-year survival probability at age 40. For comparisons to the general population, we simulated age-, sex-, and diagnosis year-matched individuals who faced only competing mortality rates. Results: Among a cohort representative of the CCSS (mean diagnosis age, 7.4 yrs), compared to the general population, the gap in LE among survivors diagnosed in the 1970s vs. 1990s decreased from 17 yrs (25%) to 11 yrs (17%). Changes in LE among survivors diagnosed in the 1990s vs. 1970s varied by diagnosis, with leukemia, lymphoma, and CNS tumor survivors estimated to live an additional 8 to 11 yrs (Table). In contrast, considerably smaller gains were estimated for sarcoma and renal tumor survivors (1–3 yrs) and a loss for neuroblastoma (-3 yrs). Among survivors who reached age 40, the probability of surviving an additional 10 years increased from 89% to 92% between 1970s vs. 1990s, with the greatest gains for lymphoma and CNS tumors. Conclusions: Although temporal changes in pediatric oncology are projected to result in LE gains among survivors, considerable variation is projected across diagnoses. These findings highlight the uneven success of improving treatments for all cancers. [Table: see text]
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Affiliation(s)
- Jennifer M Yeh
- Boston Children's Hospital and Harvard Medical School, Boston, MA
| | | | | | | | | | | | | | | | - Lisa Diller
- Dana-Farber Cancer Institute and Harvard Medical School, Boston, MA
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Gibson TM, Karyadi DM, Kapoor V, Arnold M, Berrington de González A, Bhatia S, Conces M, Hartley S, Howell RM, Leisenring WM, Neglia JP, Turcotte LM, Yasui Y, Chanock SJ, Armstrong GT, Morton LM. Joint effects of general population polygenic risk scores (PRS) and radiation treatment on subsequent neoplasm risk among childhood cancer survivors: A report from the Childhood Cancer Survivor Study (CCSS). J Clin Oncol 2022. [DOI: 10.1200/jco.2022.40.16_suppl.10008] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/20/2022] Open
Abstract
10008 Background: We examined whether PRS from general population studies are associated with risk of subsequent neoplasms (SNs) in childhood cancer survivors and evaluated joint associations between PRS and radiation treatment (RT), an established SN risk factor. Methods: Common genetic variants associated with risk of basal cell carcinoma (BCC), breast cancer, thyroid cancer, squamous cell carcinoma (SCC) or melanoma in general population studies were used to calculate cancer specific PRS among 5,911 5 year cancer survivors diagnosed < 21 years of age and between 1970-1986 in the CCSS. We examined associations between each PRS and SN risk using conditional logistic regression in nested case control studies, with incidence density sampling and matching on childhood cancer type, age at diagnosis, sex, RT dose to the SN site, and chemotherapy exposure. Further analyses matching only on non-treatment factors assessed joint associations considering potential combinations of PRS and RT exposure. We calculated the relative excess risk due to interaction (RERI) to determine whether joint associations were consistent with additivity of the individual risk factors (RERI > 0 indicates a more-than-additive joint association). Results: Among survivors (median age at follow-up 40 years, range 3-67; 62% exposed to RT), cancer specific PRS were associated with risk of subsequent BCC (N = 626; quartile 4 versus 1, OR [95% CI] = 1.9 [1.5-2.4]), breast cancer (N = 277; 4.5 [2.8-7.1]), thyroid cancer (N = 149; 1.9 [1.2-3.1]), and melanoma (N = 76; 2.7 [1.3-5.6]). Both PRS and RT were independently associated with SN risk, but joint analyses using a common reference group (PRS < median, RT < 1 Gy) found that both risk factors together resulted in more-than-additive increases in risk of BCC (RERI [95% CI] = 6.9 [2.0-11.8], breast cancer (6.6 [2.2-10.1], and thyroid cancer (4.8 [0.5-9.2]). Specifically, BCC risk was increased 28.8-fold for both PRS ≥ median and RT ≥ 1 Gy together, but only 3.3-fold for PRS ≥ median alone and 19.7-fold for RT ≥ 1 Gy alone. Similarly, breast cancer risk was increased 14.1-fold for both risk factors together, 2.5-fold for PRS ≥ median alone, and 6.5-fold for RT ≥ 1 Gy alone, and thyroid cancer risk was increased 12.3-fold for both risk factors together, 2.4-fold for PRS ≥ median alone, and 6.0-fold for RT ≥ 1 Gy alone. In joint analyses using more detailed RT categories, we found more-than-additive joint associations at both low and high RT doses. Conclusions: General population PRS were associated with SN risks after childhood cancer. More-than-additive increased risks with the combination of PRS and RT suggest that established markers of genetic susceptibility remain important in the context of treatment-related risks and may be useful in further refining risk assessment and follow-up guidelines for survivors.
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Affiliation(s)
- Todd M. Gibson
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, National Institutes of Health, Bethesda, MD
| | - Danielle M Karyadi
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, National Institutes of Health, Bethesda, MD
| | - Vidushi Kapoor
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, National Institutes of Health, Bethesda, MD
| | | | - Amy Berrington de González
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, National Institutes of Health, Bethesda, MD
| | - Smita Bhatia
- Institute for Cancer Outcomes and Survivorship, University of Alabama at Birmingham, Birmingham, AL
| | | | - Stephen Hartley
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, National Institutes of Health, Bethesda, MD
| | | | | | | | | | - Yutaka Yasui
- St. Jude Children's Research Hospital, Memphis, TN
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Thanarajasingam G, Minasian LM, Bhatnagar V, Cavalli F, De Claro RA, Dueck AC, El-Galaly TC, Everest N, Geissler J, Gisselbrecht C, Gormley N, Gribben J, Horowitz M, Ivy SP, Jacobson CA, Keating A, Kluetz PG, Kwong YL, Little RF, Matasar MJ, Mateos MV, McCullough K, Miller RS, Mohty M, Moreau P, Morton LM, Nagai S, Nair A, Nastoupil L, Robertson K, Sidana S, Smedby KE, Sonneveld P, Tzogani K, van Leeuwen FE, Velikova G, Villa D, Wingard JR, Seymour JF, Habermann TM. Reaching beyond maximum grade: progress and future directions for modernising the assessment and reporting of adverse events in haematological malignancies. Lancet Haematol 2022; 9:e374-e384. [PMID: 35483398 PMCID: PMC9241484 DOI: 10.1016/s2352-3026(22)00045-x] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/28/2021] [Revised: 01/20/2022] [Accepted: 02/02/2022] [Indexed: 12/15/2022]
Abstract
Remarkable improvements in outcomes for many haematological malignancies have been driven primarily by a proliferation of novel therapeutics over the past two decades. Targeted agents, immune and cellular therapies, and combination regimens have adverse event profiles distinct from conventional finite cytotoxic chemotherapies. In 2018, a Commission comprising patient advocates, clinicians, clinical investigators, regulators, biostatisticians, and pharmacists representing a broad range of academic and clinical cancer expertise examined issues of adverse event evaluation in the context of both newer and existing therapies for haematological cancers. The Commission proposed immediate actions and long-term solutions in the current processes in adverse event assessment, patient-reported outcomes in haematological malignancies, toxicities in cellular therapies, long-term toxicity and survivorship in haematological malignancies, issues in regulatory approval from an international perspective, and toxicity reporting in haematological malignancies and the real-world setting. In this follow-up report, the Commission describes progress that has been made in these areas since the initial report.
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Affiliation(s)
| | - Lori M Minasian
- National Cancer Institute, National Institutes of Health, Bethesda, MD, USA
| | - Vishal Bhatnagar
- Oncology Center for Excellence, US Food and Drug Administration, Silver Spring, MD, USA
| | - Franco Cavalli
- Oncology Institute of Southern Switzerland, Bellinzona, Switzerland
| | - R Angelo De Claro
- Office of Oncologic Diseases, US Food and Drug Administration, Silver Spring, MD, USA
| | - Amylou C Dueck
- Division of Quantitative Health Sciences Research, Mayo Clinic Arizona, Scottsdale, AZ, USA
| | - Tarec C El-Galaly
- Department of Haematology, Clinical Cancer Research Center, Aalborg University Hospital, Aalborg, Denmark
| | - Neil Everest
- Health Resourcing Group, Australian Government Department of Health, Canberra, ACT, Australia
| | - Jan Geissler
- Leukaemia Patient Advocates Foundation, Bern, Switzerland
| | - Christian Gisselbrecht
- Haemato-Oncology Department, Hopital Saint-Louis, Institute Haematology, Paris Diderot University VII, Paris, France; European Medicines Agency, London, UK
| | - Nicole Gormley
- Office of Oncologic Diseases, US Food and Drug Administration, Silver Spring, MD, USA
| | - John Gribben
- Centre for Haemato-Oncology, Barts Cancer Institute, London, UK
| | - Mary Horowitz
- Center for International Blood and Marrow Transplant Research, Medical College of Wisconsin, Milwaukee, WI, USA
| | - S Percy Ivy
- National Cancer Institute, National Institutes of Health, Bethesda, MD, USA
| | | | | | - Paul G Kluetz
- Oncology Center for Excellence, US Food and Drug Administration, Silver Spring, MD, USA
| | - Yok Lam Kwong
- Department of Haematology and Haematologic Oncology, University of Hong Kong, Hong Kong Special Administrative Region, China
| | - Richard F Little
- National Cancer Institute, National Institutes of Health, Bethesda, MD, USA
| | - Matthew J Matasar
- Lymphoma Service, Memorial Sloan Kettering Cancer Center, New York, NY, USA
| | | | | | - Robert S Miller
- CancerLinQ, American Society of Clinical Oncology, Alexandria, VA, USA
| | - Mohamad Mohty
- Haematology and Cellular Therapy Department, Sorbonne University, Saint-Antoine Hospital (AP-HP), INSERM UMRs 938, Paris, France
| | - Philippe Moreau
- Department of Haematology, University Hospital Nantes, Nantes, France
| | - Lindsay M Morton
- National Cancer Institute, National Institutes of Health, Bethesda, MD, USA
| | - Sumimasa Nagai
- Department of Medical Development, Institute for Advancement of Clinical and Translational Science, Kyoto University Hospital, Kyoto, Japan; Pharmaceuticals and Medical Devices Agency, Tokyo, Japan
| | - Abhilasha Nair
- Oncology Center for Excellence, US Food and Drug Administration, Silver Spring, MD, USA
| | | | - Kaye Robertson
- Office of Product Review, Therapeutic Goods Administration, Canberra, ACT, Australia
| | - Surbhi Sidana
- Division of BMT and Cellular Therapy, Stanford University School of Medicine, Stanford, CA, USA
| | - Karin E Smedby
- Department of Medicine Solna, Division of Clinical Epidemiology, Karolinska Institutet, Stockholm, Sweden; Department of Haematology, Karolinska University Hospital, Stockholm, Sweden
| | - Pieter Sonneveld
- Department of Haematology, Erasmus MC Cancer Institute, Rotterdam, Netherlands
| | | | | | - Galina Velikova
- Leeds Institute of Cancer and Pathology, University of Leeds, Leeds, UK
| | - Diego Villa
- BC Cancer Centre for Lymphoid Cancer and University of British Columbia, Vancouver, BC, Canada
| | - John R Wingard
- Division of Haematology & Oncology, University of Florida College of Medicine, Gainesville, FL, USA
| | - John F Seymour
- Peter MacCallum Cancer Centre, Melbourne, VIC, Australia; Royal Melbourne Hospital, Melbourne, VIC, Australia; University of Melbourne, Melbourne, VIC, Australia
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Pasqual E, Schonfeld S, Morton LM, Villoing D, Lee C, Berrington de Gonzalez A, Kitahara CM. Association Between Radioactive Iodine Treatment for Pediatric and Young Adulthood Differentiated Thyroid Cancer and Risk of Second Primary Malignancies. J Clin Oncol 2022; 40:1439-1449. [PMID: 35044839 PMCID: PMC9061144 DOI: 10.1200/jco.21.01841] [Citation(s) in RCA: 35] [Impact Index Per Article: 17.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/11/2023] Open
Abstract
PURPOSE Since the 1980s, both the incidence of differentiated thyroid cancer (DTC) and use of radioactive iodine (RAI) treatment increased markedly. RAI has been associated with an increased risk of leukemia, but risks of second solid malignancies remain unclear. We aimed to quantify risks of second malignancies associated with RAI treatment for DTC in children and young adults, who are more susceptible than older adults to the late effects of radiation. METHODS Using nine US SEER cancer registries (1975-2017), we estimated relative risks (RRs) for solid and hematologic malignancies associated with RAI (yes v no or unknown) using Poisson regression among ≥ 5- and ≥ 2-year survivors of nonmetastatic DTC diagnosed before age 45 years, respectively. RESULTS Among 27,050 ≥ 5-year survivors (median follow-up = 15 years), RAI treatment (45%) was associated with increased risk of solid malignancies (RR = 1.23; 95% CI, 1.11 to 1.37). Risks were increased for uterine cancer (RR = 1.55; 95% CI, 1.03 to 2.32) and nonsignificantly for cancers of the salivary gland (RR = 2.15; 95% CI, 0.91 to 5.08), stomach (RR = 1.61; 95% CI, 0.70 to 3.69), lung (RR = 1.42; 95% CI, 0.97 to 2.08), and female breast (RR = 1.18; 95% CI, 0.99 to 1.40). Risks of total solid and female breast cancer, the most common cancer type, were highest among ≥ 20-year DTC survivors (RRsolid = 1.47; 95% CI, 1.24 to 1.74; RRbreast = 1.46; 95% CI, 1.10 to 1.95). Among 32,171 ≥ 2-year survivors, RAI was associated with increased risk of hematologic malignancies (RR = 1.51; 95% CI, 1.08 to 2.01), including leukemia (RR = 1.92; 95% CI, 1.04 to 3.56). We estimated that 6% of solid and 14% of hematologic malignancies in pediatric and young adult DTC survivors may be attributable to RAI. CONCLUSION In addition to leukemia, RAI treatment for childhood and young-adulthood DTC was associated with increased risks of several solid cancers, particularly more than 20 years after exposure, supporting the need for long-term surveillance of these patients.
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Affiliation(s)
- Elisa Pasqual
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, Rockville, MD
| | - Sara Schonfeld
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, Rockville, MD
| | - Lindsay M. Morton
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, Rockville, MD
| | | | - Choonsik Lee
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, Rockville, MD
| | | | - Cari M. Kitahara
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, Rockville, MD,Cari M. Kitahara, PhD, MHS, Division of Cancer Epidemiology and Genetics, National Cancer Institute, 9609 Medical Center Dr, Rm. 7E-456, Bethesda, MD 20892; e-mail:
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Schonfeld SJ, Tucker MA, Engels EA, Dores GM, Sampson JN, Shiels MS, Chanock SJ, Morton LM. Immune-Related Adverse Events After Immune Checkpoint Inhibitors for Melanoma Among Older Adults. JAMA Netw Open 2022; 5:e223461. [PMID: 35315916 PMCID: PMC8941351 DOI: 10.1001/jamanetworkopen.2022.3461] [Citation(s) in RCA: 4] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Track Full Text] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/01/2021] [Accepted: 01/31/2022] [Indexed: 12/17/2022] Open
Abstract
Importance Immune checkpoint inhibitors (ICIs) have improved survival in patients with advanced melanoma but can be associated with a spectrum of immune-related adverse events (AEs), including both autoimmune-related AEs and other immune-related inflammatory AEs. These associations have primarily been evaluated in clinical trials that include highly selected patients, with older adults often underrepresented. Objective To evaluate the association between use of ICIs and immune-related AEs (autoimmune and other immune related) among older patients with cutaneous melanoma. Design, Setting, and Participants A population-based cohort study was conducted from January 1, 2011, to December 31, 2015. Data were analyzed from January 31 to May 31, 2021. With use of a linked database of Medicare claims and Surveillance, Epidemiology, and End Results (SEER) Program population-based cancer registries, patients of White race diagnosed with stages II-IV or unknown (American Joint Committee on Cancer, AJCC Cancer Staging Manual 6th edition) first primary cutaneous melanoma during 2011-2015, as reported to SEER, and followed up through December 31, 2015, were identified. Exposures Immune checkpoint inhibitors for treatment of melanoma. Main Outcomes and Measures The association between ICIs and immune-related AEs ascertained from Medicare claims data was estimated using multivariable Cox regression with hazard ratios (HRs) and 95% CIs and with cumulative incidence accounting for competing risk of death. Results The study included 4489 patients of White race with first primary melanoma (3002 men [66.9%]; median age, 74.9 [range, 66.0-84.9] years). During follow-up (median, 1.4 [range, 0-5.0] years), 1576 patients (35.1%) had an immune-related AE on a Medicare claim. Use of ICIs (reported for 418 patients) was associated with autoimmune-related AEs (HR, 2.5; 95% CI, 1.6-4.0), including primary adrenal insufficiency (HR, 9.9; 95% CI, 4.5-21.5) and ulcerative colitis (HR, 8.6; 95% CI, 2.8-26.3). Immune checkpoint inhibitors also were associated with other immune-related AEs (HR, 2.2; 95% CI, 1.7-2.8), including Cushing syndrome (HR, 11.8; 95% CI, 1.4-97.2), hyperthyroidism (HR, 6.3; 95% CI, 2.0-19.5), hypothyroidism (HR, 3.8; 95% CI, 2.4-6.1), hypopituitarism (HR, 19.8; 95% CI, 5.4-72.9), other pituitary gland disorders (HR, 6.0; 95% CI, 1.2-30.2), diarrhea (HR, 3.5; 95% CI, 2.5-4.9), and sepsis or septicemia (HR, 2.2; 95% CI, 1.4-3.3). Most associations were pronounced within 6 months following the first ICI claim and comparable with or without a baseline history of autoimmune disease. The cumulative incidence at 6 months following the first ICI claim was 13.7% (95% CI, 9.7%-18.3%) for autoimmune-related AEs and 46.8% (95% CI, 40.7%-52.7%) for other immune-related AEs. Conclusions and Relevance In this cohort study of older adults with melanoma, ICIs were associated with autoimmune-related AEs and other immune-related AEs. Although some findings were consistent with clinical trials of ICIs, others warrant further investigation. As ICI use continues to expand rapidly, ongoing investigation of the spectrum of immune-related AEs may optimize management of disease in patients.
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Affiliation(s)
- Sara J. Schonfeld
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, National Institutes of Health, Department of Health and Human Services, Bethesda, Maryland
| | - Margaret A. Tucker
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, National Institutes of Health, Department of Health and Human Services, Bethesda, Maryland
| | - Eric A. Engels
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, National Institutes of Health, Department of Health and Human Services, Bethesda, Maryland
| | - Graça M. Dores
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, National Institutes of Health, Department of Health and Human Services, Bethesda, Maryland
- Office of Surveillance and Epidemiology, Center for Drug Evaluation and Research, US Food and Drug Administration, Silver Spring, Maryland
| | - Joshua N. Sampson
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, National Institutes of Health, Department of Health and Human Services, Bethesda, Maryland
| | - Meredith S. Shiels
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, National Institutes of Health, Department of Health and Human Services, Bethesda, Maryland
| | - Stephen J. Chanock
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, National Institutes of Health, Department of Health and Human Services, Bethesda, Maryland
| | - Lindsay M. Morton
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, National Institutes of Health, Department of Health and Human Services, Bethesda, Maryland
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Dores GM, Curtis RE, Linet MS, Morton LM. Cause-specific mortality following polycythemia vera, essential thrombocythemia, and primary myelofibrosis in the US population, 2001-2017. Am J Hematol 2021; 96:E451-E454. [PMID: 34559904 DOI: 10.1002/ajh.26362] [Citation(s) in RCA: 7] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/30/2021] [Revised: 09/15/2021] [Accepted: 09/20/2021] [Indexed: 12/19/2022]
Affiliation(s)
- Graça M. Dores
- Radiation Epidemiology Branch, Division of Cancer Epidemiology and Genetics, National Cancer Institute National Institutes of Health Bethesda Maryland USA
- Center for Drug Evaluation and Research, Office of Surveillance and Epidemiology, Office of Pharmacovigilance and Epidemiology, Division of Pharmacovigilance‐II U.S. Food and Drug Administration Silver Spring Maryland USA
| | - Rochelle E. Curtis
- Radiation Epidemiology Branch, Division of Cancer Epidemiology and Genetics, National Cancer Institute National Institutes of Health Bethesda Maryland USA
| | - Martha S. Linet
- Radiation Epidemiology Branch, Division of Cancer Epidemiology and Genetics, National Cancer Institute National Institutes of Health Bethesda Maryland USA
| | - Lindsay M. Morton
- Radiation Epidemiology Branch, Division of Cancer Epidemiology and Genetics, National Cancer Institute National Institutes of Health Bethesda Maryland USA
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Chihara D, Larson MC, Robinson DP, Thompson CA, Maurer MJ, Casulo C, Pophali P, Link BK, Habermann TM, Feldman AL, Flowers CR, Cerhan JR, Morton LM. Body mass index and survival of patients with lymphoma. Leuk Lymphoma 2021; 62:2671-2678. [PMID: 34121594 PMCID: PMC8771423 DOI: 10.1080/10428194.2021.1929956] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/14/2022]
Abstract
The impact of body mass index (BMI) on survival in lymphoma remains controversial. We leveraged a prospective cohort of lymphoma patients enrolled to SPORE Molecular Epidemiology Resource between 2002 and 2015 to assess the association of BMI before diagnosis, BMI at diagnosis, and BMI change over time with lymphoma-specific survival (LSS). A total of 4009 lymphoma patients (670 diffuse large B-cell lymphoma (DLBCL), 689 follicular lymphoma (FL), 1018 chronic lymphocytic leukemia/small lymphocytic lymphoma (CLL/SLL), and 1632 other subtypes) were included. Significantly shorter LSS after diagnosis was observed for FL patients who were obese before diagnosis (HR: 3.02, 95%CI: 1.43-6.41, p=.004) and for those with a ≥ 5% increase in BMI from diagnosis to 3-year follow-up (HR: 3.53, 95%CI: 1.22-10.2, p=.020). In contrast, obesity prior to or at the time of diagnosis was not associated with LSS in DLBCL and CLL/SLL. The impact of weight control after diagnosis in FL patient warrants investigation.
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Affiliation(s)
- Dai Chihara
- Department of Lymphoma and Myeloma, The University of Texas MD Anderson Cancer Center, Houston, TX,,Medical Oncology Service, National Cancer Institute, National Institutes of Health, Bethesda, MD
| | | | | | - Carrie A. Thompson
- Division of Hematology, Department of Internal Medicine, Mayo Clinic, Rochester, MN
| | | | - Carla Casulo
- Department of Medicine, James P. Wilmot Cancer Institute, University of Rochester Medical Center, Rochester, NY
| | - Priyanka Pophali
- Division of Hematology, Oncology and Palliative Care, Department of Medicine, University of Wisconsin, Madison, WI
| | - Brian K. Link
- Division of Hematology, Oncology, and Blood & Marrow Transplantation, Department of Internal Medicine, University of Iowa Carver College of Medicine, Iowa City, IA
| | - Thomas M. Habermann
- Division of Hematology, Department of Internal Medicine, Mayo Clinic, Rochester, MN
| | - Andrew L. Feldman
- Division of Hematopathology, Department of Laboratory Medicine and Pathology, Mayo Clinic, Rochester, MN
| | - Christopher R. Flowers
- Department of Lymphoma and Myeloma, The University of Texas MD Anderson Cancer Center, Houston, TX
| | - James R. Cerhan
- Department of Health Sciences Research, Mayo Clinic, Rochester, MN
| | - Lindsay M. Morton
- Radiation Epidemiology Branch, Division of Cancer Epidemiology and Genetics, National Cancer Institute, National Institutes of Health, Department of Health and Human Services, Bethesda, MD, USA
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28
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Song N, Liu Q, Wilson CL, Sapkota Y, Ehrhardt MJ, Gibson TM, Morton LM, Chanock SJ, Neglia JP, Arnold MA, Michael JR, Gout AM, Mulder HL, Easton J, Bhatia S, Armstrong GT, Zhang J, Delaney A, Hudson MM, Robison LL, Yasui Y, Wang Z. Polygenic Risk Score Improves Risk Stratification and Prediction of Subsequent Thyroid Cancer after Childhood Cancer. Cancer Epidemiol Biomarkers Prev 2021; 30:2096-2104. [PMID: 34465587 DOI: 10.1158/1055-9965.epi-21-0448] [Citation(s) in RCA: 8] [Impact Index Per Article: 2.7] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/08/2021] [Revised: 07/05/2021] [Accepted: 08/23/2021] [Indexed: 11/16/2022] Open
Abstract
BACKGROUND Subsequent thyroid cancer (STC) is one of the most common malignancies in childhood cancer survivors. We aimed to evaluate the polygenic contributions to STC risk and potential utility in improving risk prediction. METHODS A polygenic risk score (PRS) was calculated from 12 independent SNPs associated with thyroid cancer risk in the general population. Associations between PRS and STC risk were evaluated among survivors from St. Jude Lifetime Cohort (SJLIFE) and were replicated in survivors from Childhood Cancer Survivor Study (CCSS). A risk prediction model integrating the PRS and clinical factors, initially developed in SJLIFE, and its performance were validated in CCSS. RESULTS Among 2,370 SJLIFE survivors with a median follow-up of 28.8 [interquartile range (IQR) = 21.9-36.1] years, 65 (2.7%) developed STC. Among them, the standardized PRS was associated with an increased rate of STC [relative rate (RR) = 1.57; 95% confidence interval (CI) = 1.24-1.98; P < 0.001]. Similar associations were replicated in 6,416 CCSS survivors, among whom 121 (1.9%) developed STC during median follow-up of 28.9 (IQR = 22.6-34.6) years (RR = 1.52; 95% CI = 1.25-1.83; P < 0.001). A risk prediction model integrating the PRS with clinical factors showed better performance than the model considering only clinical factors in SJLIFE (P = 0.004, AUC = 83.2% vs. 82.1%, at age 40), which was further validated in CCSS (P = 0.010, AUC = 72.9% vs. 70.6%). CONCLUSIONS Integration of the PRS with clinical factors provided a statistically significant improvement in risk prediction of STC, although the magnitude of improvement was modest. IMPACT PRS improves risk stratification and prediction of STC, suggesting its potential utility for optimizing screening strategies in survivorship care.
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Affiliation(s)
- Nan Song
- St. Jude Children's Research Hospital, Memphis, Tennessee.,College of Pharmacy, Chungbuk National University, Cheongju, Republic of South Korea
| | - Qi Liu
- University of Alberta, Edmonton, Alberta, Canada
| | | | - Yadav Sapkota
- St. Jude Children's Research Hospital, Memphis, Tennessee
| | | | | | | | | | | | | | | | | | | | - John Easton
- St. Jude Children's Research Hospital, Memphis, Tennessee
| | - Smita Bhatia
- University of Alabama at Birmingham, Birmingham, Alabama
| | | | - Jinghui Zhang
- St. Jude Children's Research Hospital, Memphis, Tennessee
| | - Angela Delaney
- St. Jude Children's Research Hospital, Memphis, Tennessee
| | | | | | - Yutaka Yasui
- St. Jude Children's Research Hospital, Memphis, Tennessee
| | - Zhaoming Wang
- St. Jude Children's Research Hospital, Memphis, Tennessee.
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Trendowski MR, Baedke JL, Sapkota Y, Travis LB, Zhang X, El Charif O, Wheeler HE, Leisenring WM, Robison LL, Hudson MM, Morton LM, Oeffinger KC, Howell RM, Armstrong GT, Bhatia S, Dolan ME. Clinical and genetic risk factors for radiation-associated ototoxicity: A report from the Childhood Cancer Survivor Study and the St. Jude Lifetime Cohort. Cancer 2021; 127:4091-4102. [PMID: 34286861 DOI: 10.1002/cncr.33775] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/15/2021] [Revised: 05/10/2021] [Accepted: 05/25/2021] [Indexed: 12/21/2022]
Abstract
BACKGROUND Cranial radiation therapy (CRT) is associated with ototoxicity, which manifests as hearing loss and tinnitus. The authors sought to identify clinical determinants and genetic risk factors for ototoxicity among adult survivors of pediatric cancer treated with CRT. METHODS Logistic regression evaluated associations of tinnitus (n = 1991) and hearing loss (n = 2198) with nongenetic risk factors and comorbidities among CRT-treated survivors in the Childhood Cancer Survivor Study. Genome-wide association studies (GWASs) of CRT-related tinnitus and hearing loss were also performed. RESULTS Males were more likely to report CRT-related tinnitus (9.4% vs 5.4%; P = 5.1 × 10-4 ) and hearing loss (14.0% vs 10.7%; P = .02) than females. Survivors with tinnitus or hearing loss were more likely to experience persistent dizziness or vertigo (tinnitus: P < 2 × 10-16 ; hearing loss: P = 6.4 × 10-9 ), take antidepressants (tinnitus: P = .02; hearing loss: P = .01), and report poorer overall health (tinnitus: P = 1.5 × 10-6 ; hearing loss: P = 1.7 × 10-6 ) in comparison with controls. GWAS of CRT-related tinnitus revealed a genome-wide significant signal in chromosome 1 led by rs203248 (P = 1.5 × 10-9 ), whereas GWAS of CRT-related hearing loss identified rs332013 (P = 5.8 × 10-7 ) in chromosome 8 and rs67522722 (P = 7.8 × 10-7 ) in chromosome 6 as nearly genome-wide significant. A replication analysis identified rs67522722, intronic to ATXN1, as being significantly associated with CRT-related hearing loss (P = .03) and de novo hearing loss (P = 3.6 × 10-4 ). CONCLUSIONS CRT-associated ototoxicity was associated with sex, several neuro-otological symptoms, increased antidepressant use, and poorer self-reported health. GWAS of CRT-related hearing loss identified rs67522722, which was supported in an independent cohort of survivors. LAY SUMMARY Hearing loss and subjective tinnitus (the perception of noise or ringing in the ear) are long-term side effects of cancer treatment and are common in children treated with radiation to the brain. These toxicities can affect childhood development and potentially contribute to serious learning and behavioral difficulties. This study's data indicate that males are at greater risk for hearing loss and tinnitus than females after radiation therapy to the brain. Those who develop these toxicities are more likely to use antidepressants and report poorer overall health. Health care providers can improve the management of survivors by informing patients and/or their parents of these risks.
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Affiliation(s)
| | - Jessica L Baedke
- Department of Epidemiology and Cancer Control, St. Jude Children's Research Hospital, Memphis, Tennessee
| | - Yadav Sapkota
- Department of Epidemiology and Cancer Control, St. Jude Children's Research Hospital, Memphis, Tennessee
| | - Lois B Travis
- Department of Medical Oncology, Fairbanks School of Public Health, Indiana University, Indianapolis, Indiana.,Department of Epidemiology, Fairbanks School of Public Health, Indiana University, Indianapolis, Indiana
| | - Xindi Zhang
- Department of Medicine, University of Chicago, Chicago, Illinois
| | - Omar El Charif
- Department of Medicine, University of Chicago, Chicago, Illinois
| | - Heather E Wheeler
- Department of Biology, Loyola University Chicago, Chicago, Illinois.,Department of Computer Science, Loyola University Chicago, Chicago, Illinois
| | - Wendy M Leisenring
- Division of Clinical Research, Fred Hutchinson Cancer Research Center, Seattle, Washington.,Division of Public Health Sciences, Fred Hutchinson Cancer Research Center, Seattle, Washington
| | - Leslie L Robison
- Department of Epidemiology and Cancer Control, St. Jude Children's Research Hospital, Memphis, Tennessee
| | - Melissa M Hudson
- Department of Epidemiology and Cancer Control, St. Jude Children's Research Hospital, Memphis, Tennessee.,Department of Oncology, St. Jude Children's Research Hospital, Memphis, Tennessee
| | - Lindsay M Morton
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, National Institutes of Health, Bethesda, Maryland
| | | | - Rebecca M Howell
- Department of Radiation Physics, The University of Texas MD Anderson Cancer Center, Houston, Texas
| | - Gregory T Armstrong
- Department of Epidemiology and Cancer Control, St. Jude Children's Research Hospital, Memphis, Tennessee
| | - Smita Bhatia
- School of Medicine Institute for Cancer Outcomes and Survivorship, University of Alabama at Birmingham, Birmingham, Alabama
| | - M Eileen Dolan
- Department of Medicine, University of Chicago, Chicago, Illinois
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Advani PG, Morton LM, Kitahara CM, Berrington de Gonzalez A, Ramin C, Haymart MR, Curtis RE, Schonfeld SJ. Assessment of surveillance versus etiologic factors in the reciprocal association between papillary thyroid cancer and breast cancer. Cancer Epidemiol 2021; 74:101985. [PMID: 34280845 DOI: 10.1016/j.canep.2021.101985] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/19/2021] [Revised: 07/08/2021] [Accepted: 07/10/2021] [Indexed: 11/18/2022]
Abstract
BACKGROUND Mutually increased risks for thyroid and breast cancer have been reported, but the contribution of etiologic factors versus increased medical surveillance to these associations is unknown. METHODS Leveraging large-scale US population-based cancer registry data, we used standardized incidence ratios (SIRs) to investigate the reciprocal risks of thyroid and breast cancers among adult females diagnosed with a first primary invasive, non-metastatic breast cancer (N = 652,627) or papillary thyroid cancer (PTC) (N = 92,318) during 2000-2017 who survived ≥1-year. RESULTS PTC risk was increased 1.3-fold [N = 1434; SIR = 1.32; 95 % confidence interval (CI) = 1.25-1.39] after breast cancer compared to the general population. PTC risk declined significantly with time since breast cancer (Poisson regression = Ptrend <0.001) and was evident only for tumors ≤2 cm in size. The SIRs for PTC were higher after hormone-receptor (HR)+ (versus HR-) and stage II or III (versus stage 0-I) breast tumors. Breast cancer risk was increased 1.2-fold (N = 2038; SIR = 1.21; CI = 1.16-1.26) after PTC and was constant over time since PTC but was only increased for stage 0-II and HR + breast cancers. CONCLUSION Although some of the patterns by latency, stage and size are consistent with heightened surveillance contributing to the breast-thyroid association, we cannot exclude a role of shared etiology or treatment effects.
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Affiliation(s)
- Pragati G Advani
- Radiation Epidemiology Branch, Division of Cancer Epidemiology and Genetics, National Cancer Institute, National Institutes of Health, Department of Health and Human Services, Bethesda, MD, USA.
| | - Lindsay M Morton
- Radiation Epidemiology Branch, Division of Cancer Epidemiology and Genetics, National Cancer Institute, National Institutes of Health, Department of Health and Human Services, Bethesda, MD, USA
| | - Cari M Kitahara
- Radiation Epidemiology Branch, Division of Cancer Epidemiology and Genetics, National Cancer Institute, National Institutes of Health, Department of Health and Human Services, Bethesda, MD, USA
| | - Amy Berrington de Gonzalez
- Radiation Epidemiology Branch, Division of Cancer Epidemiology and Genetics, National Cancer Institute, National Institutes of Health, Department of Health and Human Services, Bethesda, MD, USA
| | - Cody Ramin
- Radiation Epidemiology Branch, Division of Cancer Epidemiology and Genetics, National Cancer Institute, National Institutes of Health, Department of Health and Human Services, Bethesda, MD, USA
| | - Megan R Haymart
- Division of Metabolism, Endocrinology, and Diabetes and Division of Hematology/Oncology, University of Michigan, Ann Arbor, MI, USA
| | - Rochelle E Curtis
- Radiation Epidemiology Branch, Division of Cancer Epidemiology and Genetics, National Cancer Institute, National Institutes of Health, Department of Health and Human Services, Bethesda, MD, USA
| | - Sara J Schonfeld
- Radiation Epidemiology Branch, Division of Cancer Epidemiology and Genetics, National Cancer Institute, National Institutes of Health, Department of Health and Human Services, Bethesda, MD, USA
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Kleinerman RA, Schonfeld SJ, Abramson DH, Francis JH, Seddon JM, Morton LM, Tucker MA. Increased risk of skin cancer in 1851 long-term retinoblastoma survivors. J Invest Dermatol 2021; 141:2849-2857.e3. [PMID: 34153328 DOI: 10.1016/j.jid.2021.05.021] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/17/2020] [Revised: 05/11/2021] [Accepted: 05/12/2021] [Indexed: 11/24/2022]
Abstract
Hereditary retinoblastoma patients are at risk for developing cutaneous melanoma, but little is known about the role of sun exposure or other factors, and incidence of non-melanoma skin cancer (NMSC) is poorly understood. We investigated the incidence of melanoma and NMSC in a cohort of 1851 white, long-term retinoblastoma survivors (1020 hereditary and 831 nonhereditary) diagnosed from 1914-2006. During follow-up through 2016, 33 hereditary and 7 nonhereditary survivors developed melanoma, and 26 hereditary and 9 nonhereditary survivors developed NMSC. Most NMSC were on the head/neck whereas melanomas were more broadly distributed with patterns similar to melanoma-prone families. For both outcomes, median age at diagnosis was ∼20 years younger among hereditary than nonhereditary survivors. Fifty years following retinoblastoma diagnosis, the cumulative incidence in hereditary survivors was 4.5% for melanoma and 3.7% for NMSC; for nonhereditary survivors, it was 0.7% and 1.5%, respectively. Sun sensitivity and phenotypic characteristics generally did not vary by skin cancer status. Hereditary retinoblastoma survivors have an increased risk for melanoma and NMSC that occurred earlier compared with nonhereditary survivors, likely reflecting genetic factors. These findings among white retinoblastoma survivors support consensus-based recommendations for skin cancer screening and sun protection starting at young ages and continuing long-term.
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Affiliation(s)
- Ruth A Kleinerman
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, National Institutes of Health, Rockville, MD.
| | - Sara J Schonfeld
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, National Institutes of Health, Rockville, MD
| | - David H Abramson
- Ophthamic Oncology Service, Memorial Sloan Kettering Cancer Center, New York, NY
| | - Jasmine H Francis
- Ophthamic Oncology Service, Memorial Sloan Kettering Cancer Center, New York, NY
| | - Johanna M Seddon
- Department of Ophthalmology and Visual Sciences, University of Massachusetts, Worcester, MA
| | - Lindsay M Morton
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, National Institutes of Health, Rockville, MD
| | - Margaret A Tucker
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, National Institutes of Health, Rockville, MD
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Richard MA, Mostoufi-Moab S, Rathore N, Brown AL, Chanock SJ, Friedman DN, Gramatges MM, Howell RM, Kamdar K, Leisenring WM, Meacham LR, Morton LM, Oeffinger KC, Robison LL, Sapkota Y, Sklar CA, Yasui Y, Armstrong GT, Bhatia S, Lupo P. Genetic and treatment risks for diabetes mellitus (DM) in survivors of childhood cancer: A report from the Childhood Cancer Survivor Study (CCSS) and St. Jude Lifetime (SJLIFE) cohorts. J Clin Oncol 2021. [DOI: 10.1200/jco.2021.39.15_suppl.10014] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/20/2022] Open
Abstract
10014 Background: Childhood cancer survivors face increased risk for DM, a polygenic trait also attributable to cancer treatment exposures, particularly abdominal radiation. We aimed to characterize the role of genetic and treatment risk factors for DM among two large cohorts of childhood cancer survivors. Methods: We performed a nested case-control genome-wide association study for DM managed with oral medications in the original CCSS cohort (diagnosed 1970-1986). Logistic regression was conducted in the total sample (N = 5083) and stratified by 1) European ancestry (EA) and 2) abdominal radiation. Replication of suggestive variants (P < 1×10-7) using Fisher’s exact test was performed in independent cohorts: i) CCSS expansion diagnosed 1987-1999 (N = 2588) and ii) SJLIFE diagnosed 1962-2012 (N = 2182). To evaluate the effect of cancer treatment on the background genetic predisposition to DM, we estimated standardized effect sizes (Z’) among EA survivors in each abdominal radiation group for 398 index variants from the largest population-based EA DM study. Radiation group Z’ estimates were compared using linear regression. Results: In the original CCSS cohort we identified nine variants associated with DM and provide further support for four linked variants in the ERCC6L2 locus. Among all survivors, the rs55849673-A allele was associated with increased odds for DM among survivors in the original CCSS cohort (minor allele frequency [MAF]-cases = 0.055; MAF-controls = 0.024; adjusted odds ratio [aOR] = 2.9, 95% CI: 2.0-4.2, P = 3.7×10-8). Allele frequencies were consistent in the CCSS expansion (MAF-cases = 0.075; MAF-controls = 0.028; P = 0.07) and SJLIFE (MAF-cases = 0.036; MAF-controls = 0.027; P = 0.5). Additionally, rs55849673-A estimates were consistent among EA survivors and stronger among survivors not treated with abdominal radiation (MAF-cases = 0.052; MAF-controls = 0.021; aOR = 3.6, P = 1.6×10-6). Notably, in the CCSS expansion all rs55849673-A EA carriers who developed DM did not receive abdominal radiation (MAF-cases = 0.1; MAF-controls = 0.026; P = 0.04). More broadly, the Z’ of population-based DM index variants were 78% lower in survivors treated with abdominal radiation than survivors not treated with abdominal radiation (beta = 0.22; P = 0.01), indicating the background genetic risk for DM may be altered by treatment. Conclusions: We provide evidence for a novel locus of DM in childhood cancer survivors. This locus is a regulatory region associated with expression of ERCC6L2, a gene implicated in an East Asian population-based DM study. Taken together, our findings support the overwhelming effect of abdominal radiation on DM risk in childhood cancer survivors, relative to other risk factors, and provide insight on a genetic locus that may be useful for DM risk prediction in the context of cancer treatment.
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Affiliation(s)
| | | | | | | | - Stephen J. Chanock
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, National Institutes of Health, Bethesda, MD
| | | | | | - Rebecca M. Howell
- Department of Radiation Physics, The University of Texas MD Anderson Cancer Center, Houston, TX
| | | | | | | | - Lindsay M. Morton
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, National Institutes of Health, Bethesda, MD
| | | | | | | | | | - Yutaka Yasui
- St. Jude Children's Research Hospital, Memphis, TN
| | | | - Smita Bhatia
- Institute for Cancer Outcomes and Survivorship, University of Alabama at Birmingham, Birmingham, AL
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Morton LM, Karyadi DM, Stewart C, Bogdanova TI, Dawson ET, Steinberg MK, Dai J, Hartley SW, Schonfeld SJ, Sampson JN, Maruvka YE, Kapoor V, Ramsden DA, Carvajal-Garcia J, Perou CM, Parker JS, Krznaric M, Yeager M, Boland JF, Hutchinson A, Hicks BD, Dagnall CL, Gastier-Foster JM, Bowen J, Lee O, Machiela MJ, Cahoon EK, Brenner AV, Mabuchi K, Drozdovitch V, Masiuk S, Chepurny M, Zurnadzhy LY, Hatch M, Berrington de Gonzalez A, Thomas GA, Tronko MD, Getz G, Chanock SJ. Radiation-related genomic profile of papillary thyroid carcinoma after the Chernobyl accident. Science 2021; 372:science.abg2538. [PMID: 33888599 DOI: 10.1126/science.abg2538] [Citation(s) in RCA: 62] [Impact Index Per Article: 20.7] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/22/2020] [Accepted: 03/25/2021] [Indexed: 12/13/2022]
Abstract
The 1986 Chernobyl nuclear power plant accident increased papillary thyroid carcinoma (PTC) incidence in surrounding regions, particularly for radioactive iodine (131I)-exposed children. We analyzed genomic, transcriptomic, and epigenomic characteristics of 440 PTCs from Ukraine (from 359 individuals with estimated childhood 131I exposure and 81 unexposed children born after 1986). PTCs displayed radiation dose-dependent enrichment of fusion drivers, nearly all in the mitogen-activated protein kinase pathway, and increases in small deletions and simple/balanced structural variants that were clonal and bore hallmarks of nonhomologous end-joining repair. Radiation-related genomic alterations were more pronounced for individuals who were younger at exposure. Transcriptomic and epigenomic features were strongly associated with driver events but not radiation dose. Our results point to DNA double-strand breaks as early carcinogenic events that subsequently enable PTC growth after environmental radiation exposure.
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Affiliation(s)
- Lindsay M Morton
- Radiation Epidemiology Branch, Division of Cancer Epidemiology and Genetics, National Cancer Institute, Bethesda, MD 20892, USA.
| | - Danielle M Karyadi
- Laboratory of Genetic Susceptibility, Division of Cancer Epidemiology and Genetics, National Cancer Institute, Bethesda, MD 20892, USA
| | - Chip Stewart
- Broad Institute of MIT and Harvard, Cambridge, MA 02142, USA
| | - Tetiana I Bogdanova
- Laboratory of Morphology of the Endocrine System, V. P. Komisarenko Institute of Endocrinology and Metabolism of the National Academy of Medical Sciences of Ukraine, Kyiv 04114, Ukraine
| | - Eric T Dawson
- Laboratory of Genetic Susceptibility, Division of Cancer Epidemiology and Genetics, National Cancer Institute, Bethesda, MD 20892, USA.,Nvidia Corporation, Santa Clara, CA 95051, USA
| | - Mia K Steinberg
- Cancer Genomics Research Laboratory, Leidos Biomedical Research Inc., Frederick National Laboratory for Cancer Research, Bethesda, MD 20892, USA
| | - Jieqiong Dai
- Cancer Genomics Research Laboratory, Leidos Biomedical Research Inc., Frederick National Laboratory for Cancer Research, Bethesda, MD 20892, USA
| | - Stephen W Hartley
- Laboratory of Genetic Susceptibility, Division of Cancer Epidemiology and Genetics, National Cancer Institute, Bethesda, MD 20892, USA
| | - Sara J Schonfeld
- Radiation Epidemiology Branch, Division of Cancer Epidemiology and Genetics, National Cancer Institute, Bethesda, MD 20892, USA
| | - Joshua N Sampson
- Biostatistics Branch, Division of Cancer Epidemiology and Genetics, National Cancer Institute, Bethesda, MD 20892, USA
| | - Yosef E Maruvka
- Broad Institute of MIT and Harvard, Cambridge, MA 02142, USA
| | - Vidushi Kapoor
- Cancer Genomics Research Laboratory, Leidos Biomedical Research Inc., Frederick National Laboratory for Cancer Research, Bethesda, MD 20892, USA
| | - Dale A Ramsden
- Department of Biochemistry and Biophysics, Lineberger Comprehensive Cancer Center, University of North Carolina, Chapel Hill, NC 27599, USA
| | - Juan Carvajal-Garcia
- Curriculum in Genetics and Molecular Biology, University of North Carolina, Chapel Hill, NC 27599, USA
| | - Charles M Perou
- Lineberger Comprehensive Cancer Center, University of North Carolina, Chapel Hill, NC 27599, USA.,Department of Genetics, University of North Carolina, Chapel Hill, NC 27599, USA
| | - Joel S Parker
- Department of Genetics, University of North Carolina, Chapel Hill, NC 27599, USA
| | - Marko Krznaric
- Department of Surgery and Cancer, Imperial College London, Charing Cross Hospital, London W6 8RF, UK
| | - Meredith Yeager
- Cancer Genomics Research Laboratory, Leidos Biomedical Research Inc., Frederick National Laboratory for Cancer Research, Bethesda, MD 20892, USA
| | - Joseph F Boland
- Cancer Genomics Research Laboratory, Leidos Biomedical Research Inc., Frederick National Laboratory for Cancer Research, Bethesda, MD 20892, USA
| | - Amy Hutchinson
- Cancer Genomics Research Laboratory, Leidos Biomedical Research Inc., Frederick National Laboratory for Cancer Research, Bethesda, MD 20892, USA
| | - Belynda D Hicks
- Cancer Genomics Research Laboratory, Leidos Biomedical Research Inc., Frederick National Laboratory for Cancer Research, Bethesda, MD 20892, USA
| | - Casey L Dagnall
- Cancer Genomics Research Laboratory, Leidos Biomedical Research Inc., Frederick National Laboratory for Cancer Research, Bethesda, MD 20892, USA
| | - Julie M Gastier-Foster
- Nationwide Children's Hospital, Biospecimen Core Resource, Columbus, OH 43205, USA.,Departments of Pathology and Pediatrics, Ohio State University College of Medicine, Columbus, OH 43210, USA
| | - Jay Bowen
- Nationwide Children's Hospital, Biospecimen Core Resource, Columbus, OH 43205, USA
| | - Olivia Lee
- Laboratory of Genetic Susceptibility, Division of Cancer Epidemiology and Genetics, National Cancer Institute, Bethesda, MD 20892, USA
| | - Mitchell J Machiela
- Integrative Tumor Epidemiology Branch, Division of Cancer Epidemiology and Genetics, National Cancer Institute, Bethesda, MD 20892, USA
| | - Elizabeth K Cahoon
- Radiation Epidemiology Branch, Division of Cancer Epidemiology and Genetics, National Cancer Institute, Bethesda, MD 20892, USA
| | - Alina V Brenner
- Radiation Effects Research Foundation, Hiroshima 732-0815, Japan
| | - Kiyohiko Mabuchi
- Radiation Epidemiology Branch, Division of Cancer Epidemiology and Genetics, National Cancer Institute, Bethesda, MD 20892, USA
| | - Vladimir Drozdovitch
- Radiation Epidemiology Branch, Division of Cancer Epidemiology and Genetics, National Cancer Institute, Bethesda, MD 20892, USA
| | - Sergii Masiuk
- Radiological Protection Laboratory, Institute of Radiation Hygiene and Epidemiology, National Research Center for Radiation Medicine of the National Academy of Medical Sciences of Ukraine, Kyiv 04050, Ukraine
| | - Mykola Chepurny
- Radiological Protection Laboratory, Institute of Radiation Hygiene and Epidemiology, National Research Center for Radiation Medicine of the National Academy of Medical Sciences of Ukraine, Kyiv 04050, Ukraine
| | - Liudmyla Yu Zurnadzhy
- Laboratory of Morphology of the Endocrine System, V. P. Komisarenko Institute of Endocrinology and Metabolism of the National Academy of Medical Sciences of Ukraine, Kyiv 04114, Ukraine
| | - Maureen Hatch
- Radiation Epidemiology Branch, Division of Cancer Epidemiology and Genetics, National Cancer Institute, Bethesda, MD 20892, USA
| | - Amy Berrington de Gonzalez
- Radiation Epidemiology Branch, Division of Cancer Epidemiology and Genetics, National Cancer Institute, Bethesda, MD 20892, USA
| | - Gerry A Thomas
- Department of Surgery and Cancer, Imperial College London, Charing Cross Hospital, London W6 8RF, UK
| | - Mykola D Tronko
- Department of Fundamental and Applied Problems of Endocrinology, V. P. Komisarenko Institute of Endocrinology and Metabolism of the National Academy of Medical Sciences of Ukraine, Kyiv 04114, Ukraine
| | - Gad Getz
- Broad Institute of MIT and Harvard, Cambridge, MA 02142, USA.,Center for Cancer Research and Department of Pathology, Massachusetts General Hospital, Boston, MA 02114, USA.,Harvard Medical School, Boston, MA 02115, USA
| | - Stephen J Chanock
- Laboratory of Genetic Susceptibility, Division of Cancer Epidemiology and Genetics, National Cancer Institute, Bethesda, MD 20892, USA.
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Morton LM, Karyadi D, Stewart C, Bogdanova T, Dawson E, Steinberg M, Dai J, Hartley S, Schonfeld S, Sampson J, Maruvka Y, Kapoor V, Ramsden D, Carvajal-Garcia J, Perou C, Parker J, Krznaric M, Yeager M, Boland J, Hutchinson A, Hicks B, Dagnall C, Gastier-Foster J, Bowen J, Lee O, Machiela M, Cahoon E, Brenner A, Mabuchi K, Drozdovitch V, Masiuk S, Chepurny M, Zurnadzhy LY, Hatch M, de Gonzalez AB, Thomas G, Tronko M, Getz G, Chanock S. Abstract PO-055: Molecular characterization of papillary thyroid cancer in relation to ionizing radiation dose following the Chernobyl accident. Clin Cancer Res 2021. [DOI: 10.1158/1557-3265.radsci21-po-055] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/16/2022]
Abstract
Abstract
The 1986 Chernobyl nuclear power plant accident increased papillary thyroid cancer (PTC) incidence in surrounding regions, particularly for 131I-exposed children. To investigate the contribution of environmental radiation to PTC characteristics and improve understanding of radiation-induced carcinogenesis, we analyzed genomic, transcriptomic, and epigenomic characteristics of 440 pathologically-confirmed fresh-frozen PTCs from Ukraine (359 with estimated childhood or in utero 131I exposure and 81 from unexposed children born after March 1987) and matched normal tissue (non-tumor thyroid tissue and/or blood). Mean age at PTC was 28.0 years (range: 10.0-45.6). Among 131I-exposed individuals, mean radiation dose was 250 mGy (range: 11.0-8,800). In multivariable models adjusted for age at PTC and sex, we observed radiation dose-dependent enrichment of fusion drivers (P=6.6 × 10−8), nearly all occurring in the MAPK pathway, as well as increases in small deletions (P=8.0 × 10−9) and simple/balanced structural variants (P=1.2 × 10−14). Further analyses demonstrated even stronger associations for those small deletions and simple/balanced structural variants that were clonal and bore hallmarks of non-homologous end-joining repair (deletions: P=4.9 × 10−31; simple/balanced structural variants: P=5.5 × 10−19). In contrast, radiation dose was not associated with subclonal small deletions (P=0.82) or subclonal simple/balanced structural variants (P=0.91). Additionally, radiation dose was not associated with TINS (locally templated insertions), which are characteristic of alt-end-joining repair (P=0.69). The effects of radiation on genomic alterations with more pronounced for those younger at exposure. Analyses generally were consistent with a linear radiation dose-response for all molecular characteristics except clonal small deletions. Analyses of transcriptomic and epigenomic features demonstrated strong associations with the PTC driver gene but not radiation dose. Our results point to DNA double-strand breaks as early carcinogenic events that subsequently enable PTC growth following environmental radiation exposure.
Citation Format: Lindsay M. Morton, Danielle Karyadi, Chip Stewart, Tetiana Bogdanova, Eric Dawson, Mia Steinberg, Jieqiong Dai, Stephen Hartley, Sara Schonfeld, Joshua Sampson, Yosi Maruvka, Vidushi Kapoor, Dale Ramsden, Juan Carvajal-Garcia, Chuck Perou, Joel Parker, Marko Krznaric, Meredith Yeager, Joseph Boland, Amy Hutchinson, Belynda Hicks, Casey Dagnall, Julie Gastier-Foster, Jay Bowen, Olivia Lee, Mitchell Machiela, Elizabeth Cahoon, Alina Brenner, Kiyohiko Mabuchi, Vladimir Drozdovitch, Sergii Masiuk, Mykola Chepurny, Liudmyla Yu Zurnadzhy, Maureen Hatch, Amy Berrington de Gonzalez, Gerry Thomas, Mykola Tronko, Gad Getz, Stephen Chanock. Molecular characterization of papillary thyroid cancer in relation to ionizing radiation dose following the Chernobyl accident [abstract]. In: Proceedings of the AACR Virtual Special Conference on Radiation Science and Medicine; 2021 Mar 2-3. Philadelphia (PA): AACR; Clin Cancer Res 2021;27(8_Suppl):Abstract nr PO-055.
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Affiliation(s)
- Lindsay M. Morton
- 1National Cancer Institute, National Institutes of Health, Bethesda, MD
| | - Danielle Karyadi
- 1National Cancer Institute, National Institutes of Health, Bethesda, MD
| | | | - Tetiana Bogdanova
- 3V.P.Komisarenko Institute of Endocrinology and Metabolism of the National Academy of Medical Sciences of Ukraine, Kyiv, Ukraine,
| | - Eric Dawson
- 1National Cancer Institute, National Institutes of Health, Bethesda, MD
| | - Mia Steinberg
- 4Frederick National Laboratory for Cancer Research, Bethesda, MD
| | - Jieqiong Dai
- 4Frederick National Laboratory for Cancer Research, Bethesda, MD
| | - Stephen Hartley
- 1National Cancer Institute, National Institutes of Health, Bethesda, MD
| | - Sara Schonfeld
- 1National Cancer Institute, National Institutes of Health, Bethesda, MD
| | - Joshua Sampson
- 1National Cancer Institute, National Institutes of Health, Bethesda, MD
| | | | - Vidushi Kapoor
- 4Frederick National Laboratory for Cancer Research, Bethesda, MD
| | - Dale Ramsden
- 5University of North Carolina at Chapel Hill, Chapel Hill, NC
| | | | - Chuck Perou
- 5University of North Carolina at Chapel Hill, Chapel Hill, NC
| | - Joel Parker
- 5University of North Carolina at Chapel Hill, Chapel Hill, NC
| | | | - Meredith Yeager
- 4Frederick National Laboratory for Cancer Research, Bethesda, MD
| | - Joseph Boland
- 4Frederick National Laboratory for Cancer Research, Bethesda, MD
| | - Amy Hutchinson
- 4Frederick National Laboratory for Cancer Research, Bethesda, MD
| | - Belynda Hicks
- 4Frederick National Laboratory for Cancer Research, Bethesda, MD
| | - Casey Dagnall
- 4Frederick National Laboratory for Cancer Research, Bethesda, MD
| | | | - Jay Bowen
- 8Nationwide Children's Hospital, Columbus, OH
| | - Olivia Lee
- 1National Cancer Institute, National Institutes of Health, Bethesda, MD
| | - Mitchell Machiela
- 1National Cancer Institute, National Institutes of Health, Bethesda, MD
| | - Elizabeth Cahoon
- 1National Cancer Institute, National Institutes of Health, Bethesda, MD
| | - Alina Brenner
- 9Radiation Effects Research Foundation, Hiroshima, Japan,
| | - Kiyohiko Mabuchi
- 1National Cancer Institute, National Institutes of Health, Bethesda, MD
| | | | - Sergii Masiuk
- 10National Research Center for Radiation Medicine of the National Academy of Medical Sciences of Ukraine, Kyiv, Ukraine,
| | - Mykola Chepurny
- 10National Research Center for Radiation Medicine of the National Academy of Medical Sciences of Ukraine, Kyiv, Ukraine,
| | - Liudmyla Yu Zurnadzhy
- 3V.P.Komisarenko Institute of Endocrinology and Metabolism of the National Academy of Medical Sciences of Ukraine, Kyiv, Ukraine,
| | - Maureen Hatch
- 1National Cancer Institute, National Institutes of Health, Bethesda, MD
| | | | - Gerry Thomas
- 11Imperial College London, Charing Cross Hospital, London, United Kingdom
| | - Mykola Tronko
- 3V.P.Komisarenko Institute of Endocrinology and Metabolism of the National Academy of Medical Sciences of Ukraine, Kyiv, Ukraine,
| | - Gad Getz
- 2Broad Institute of MIT and Harvard, Boston, MA
| | - Stephen Chanock
- 1National Cancer Institute, National Institutes of Health, Bethesda, MD
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van Hoefen Wijsard M, Schonfeld SJ, van Leeuwen FE, Moll AC, Fabius AW, Abramson DH, Seddon JM, Francis JH, Tucker MA, Kleinerman RA, Morton LM. Benign Tumors in Long-Term Survivors of Retinoblastoma. Cancers (Basel) 2021; 13:cancers13081773. [PMID: 33917779 PMCID: PMC8068196 DOI: 10.3390/cancers13081773] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/25/2021] [Revised: 03/31/2021] [Accepted: 04/02/2021] [Indexed: 12/15/2022] Open
Abstract
Simple Summary It is well-established that hereditary retinoblastoma survivors have a substantially increased risk of developing subsequent malignant neoplasms (SMNs). Although clinicians have long suspected that this population is also at increased risk for developing benign neoplasms, the evidence is unclear. Benign tumors can substantially impact health status and quality of life, while raising questions for clinicians, when faced with a mass in a retinoblastoma survivor. By 60 years following retinoblastoma diagnosis, 17.6% of hereditary survivors had developed a benign tumor, with lipomas and leiomyomas being the most frequently diagnosed types. Additionally, we report both an increased risk of benign tumors after SMNs and a reciprocal increased risk of SMNs after benign tumors among hereditary retinoblastoma survivors. If confirmed, the large magnitude of the absolute risks and the association between benign tumors and SMNs in this population may have implications for long-term surveillance. Abstract Hereditary retinoblastoma survivors have substantially increased risk of subsequent malignant neoplasms (SMNs). The risk of benign neoplasms, a substantial cause of morbidity, is unclear. We calculated the cumulative incidence of developing benign tumors at 60 years following retinoblastoma diagnosis among 1128 hereditary (i.e., bilateral retinoblastoma or unilateral with family history, mutation testing was not available) and 924 nonhereditary retinoblastoma survivors diagnosed during 1914–2006 at two US medical centers with follow-up through 2016. Using Cox proportional hazards regression, we compared benign tumor risk by hereditary status and evaluated the association between benign tumors and SMNs. There were 100 benign tumors among 73 hereditary survivors (cumulative incidence = 17.6%; 95% confidence interval [CI] = 12.9–22.8%) and 22 benign tumors among 16 nonhereditary survivors (cumulative incidence = 3.9%; 95%CI = 2.2–6.4%), corresponding to 4.9-fold (95%CI = 2.8–8.4) increased risk for hereditary survivors. The cumulative incidence after hereditary retinoblastoma was highest for lipoma among males (14.0%; 95%CI = 7.7–22.1%) and leiomyoma among females (8.9%; 95%CI = 5.2–13.8%). Among hereditary survivors, having a prior SMN was associated with 3.5-fold (95%CI = 2.0–6.1) increased risk of developing a benign tumor; the reciprocal risk for developing an SMN after a benign tumor was 1.8 (95%CI = 1.1–2.9). These large-scale, long-term data demonstrate an increased risk for benign tumors after hereditary versus nonhereditary retinoblastoma. If confirmed, the association between benign tumors and SMNs among hereditary patients may have implications for long-term surveillance.
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Affiliation(s)
- Milo van Hoefen Wijsard
- Department of Ophthalmology, Amsterdam UMC, Vrije Universiteit Amsterdam, Cancer Center Amsterdam, 1081 HV Amsterdam, The Netherlands; (M.v.H.W.); (A.C.M.); (A.W.F.)
| | - Sara J. Schonfeld
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, Bethesda, MD 20892, USA; (S.J.S.); (M.A.T.); (R.A.K.)
| | - Flora E. van Leeuwen
- Department of Epidemiology, The Netherlands Cancer Institute, 1066 CX Amsterdam, The Netherlands;
| | - Annette C. Moll
- Department of Ophthalmology, Amsterdam UMC, Vrije Universiteit Amsterdam, Cancer Center Amsterdam, 1081 HV Amsterdam, The Netherlands; (M.v.H.W.); (A.C.M.); (A.W.F.)
| | - Armida W. Fabius
- Department of Ophthalmology, Amsterdam UMC, Vrije Universiteit Amsterdam, Cancer Center Amsterdam, 1081 HV Amsterdam, The Netherlands; (M.v.H.W.); (A.C.M.); (A.W.F.)
| | - David H. Abramson
- Memorial Sloan Kettering Cancer Center, New York, NY 10065, USA; (D.H.A.); (J.H.F.)
| | - Johanna M. Seddon
- Department of Ophthalmology and Visual Sciences, University of Massachusetts Medical School, Worcester, MA 01605, USA;
| | - Jasmine H. Francis
- Memorial Sloan Kettering Cancer Center, New York, NY 10065, USA; (D.H.A.); (J.H.F.)
| | - Margaret A. Tucker
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, Bethesda, MD 20892, USA; (S.J.S.); (M.A.T.); (R.A.K.)
| | - Ruth A. Kleinerman
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, Bethesda, MD 20892, USA; (S.J.S.); (M.A.T.); (R.A.K.)
| | - Lindsay M. Morton
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, Bethesda, MD 20892, USA; (S.J.S.); (M.A.T.); (R.A.K.)
- Correspondence: ; Tel.: +1-240-276-7377
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36
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Kim J, Gianferante M, Karyadi DM, Hartley SW, Frone MN, Luo W, Robison LL, Armstrong GT, Bhatia S, Dean M, Yeager M, Zhu B, Song L, Sampson JN, Yasui Y, Leisenring WM, Brodie SA, de Andrade KC, Fortes FP, Goldstein AM, Khincha PP, Machiela MJ, McMaster ML, Nickerson ML, Oba L, Pemov A, Pinheiro M, Rotunno M, Santiago K, Wegman-Ostrosky T, Diver WR, Teras L, Freedman ND, Hicks BD, Zhu B, Wang M, Jones K, Hutchinson AA, Dagnall C, Savage SA, Tucker MA, Chanock SJ, Morton LM, Stewart DR, Mirabello L. Frequency of Pathogenic Germline Variants in Cancer-Susceptibility Genes in the Childhood Cancer Survivor Study. JNCI Cancer Spectr 2021; 5:pkab007. [PMID: 34308104 PMCID: PMC8023430 DOI: 10.1093/jncics/pkab007] [Citation(s) in RCA: 9] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/24/2020] [Revised: 12/01/2020] [Accepted: 12/22/2020] [Indexed: 11/13/2022] Open
Abstract
Background Pediatric cancers are the leading cause of death by disease in children despite improved survival rates overall. The contribution of germline genetic susceptibility to pediatric cancer survivors has not been extensively characterized. We assessed the frequency of pathogenic or likely pathogenic (P/LP) variants in 5451 long-term pediatric cancer survivors from the Childhood Cancer Survivor Study. Methods Exome sequencing was conducted on germline DNA from 5451 pediatric cancer survivors (cases who survived ≥5 years from diagnosis; n = 5105 European) and 597 European cancer-free adults (controls). Analyses focused on comparing the frequency of rare P/LP variants in 237 cancer-susceptibility genes and a subset of 60 autosomal dominant high-to-moderate penetrance genes, for both case-case and case-control comparisons. Results Of European cases, 4.1% harbored a P/LP variant in high-to-moderate penetrance autosomal dominant genes compared with 1.3% in controls (2-sided P = 3 × 10-4). The highest frequency of P/LP variants was in genes typically associated with adult onset rather than pediatric cancers, including BRCA1/2, FH, PALB2, PMS2, and CDKN2A. A statistically significant excess of P/LP variants, after correction for multiple tests, was detected in patients with central nervous system cancers (NF1, SUFU, TSC1, PTCH2), Wilms tumor (WT1, REST), non-Hodgkin lymphoma (PMS2), and soft tissue sarcomas (SDHB, DICER1, TP53, ERCC4, FGFR3) compared with other pediatric cancers. Conclusion In long-term pediatric cancer survivors, we identified P/LP variants in cancer-susceptibility genes not previously associated with pediatric cancer as well as confirmed known associations. Further characterization of variants in these genes in pediatric cancer will be important to provide optimal genetic counseling for patients and their families.
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Affiliation(s)
- Jung Kim
- Division of Cancer Epidemiology and Genetics,
National Cancer Institute, National Institutes of Health,
Bethesda, MD, USA
| | - Matthew Gianferante
- Division of Cancer Epidemiology and Genetics,
National Cancer Institute, National Institutes of Health,
Bethesda, MD, USA
| | - Danielle M Karyadi
- Division of Cancer Epidemiology and Genetics,
National Cancer Institute, National Institutes of Health,
Bethesda, MD, USA
| | - Stephen W Hartley
- Division of Cancer Epidemiology and Genetics,
National Cancer Institute, National Institutes of Health,
Bethesda, MD, USA
| | - Megan N Frone
- Division of Cancer Epidemiology and Genetics,
National Cancer Institute, National Institutes of Health,
Bethesda, MD, USA
| | - Wen Luo
- Cancer Genomics Research Laboratory, Frederick
National Laboratory for Cancer Research, Frederick, MD, USA
| | - Leslie L Robison
- Department of Epidemiology and Cancer Control, St.
Jude Children’s Research Hospital, Memphis, TN, USA
| | - Gregory T Armstrong
- Department of Epidemiology and Cancer Control, St.
Jude Children’s Research Hospital, Memphis, TN, USA
| | - Smita Bhatia
- Institute for Cancer Outcomes and Survivorship,
University of Alabama at Birmingham, Birmingham, AL, USA
| | - Michael Dean
- Division of Cancer Epidemiology and Genetics,
National Cancer Institute, National Institutes of Health,
Bethesda, MD, USA
- Cancer Genomics Research Laboratory, Frederick
National Laboratory for Cancer Research, Frederick, MD, USA
| | - Meredith Yeager
- Cancer Genomics Research Laboratory, Frederick
National Laboratory for Cancer Research, Frederick, MD, USA
| | - Bin Zhu
- Division of Cancer Epidemiology and Genetics,
National Cancer Institute, National Institutes of Health,
Bethesda, MD, USA
| | - Lei Song
- Division of Cancer Epidemiology and Genetics,
National Cancer Institute, National Institutes of Health,
Bethesda, MD, USA
| | - Joshua N Sampson
- Division of Cancer Epidemiology and Genetics,
National Cancer Institute, National Institutes of Health,
Bethesda, MD, USA
| | - Yutaka Yasui
- Department of Epidemiology and Cancer Control, St.
Jude Children’s Research Hospital, Memphis, TN, USA
| | - Wendy M Leisenring
- Cancer Prevention and Clinical Statistics Programs,
Fred Hutchinson Cancer Research Center, Seattle, WA, USA
| | - Seth A Brodie
- Cancer Genomics Research Laboratory, Frederick
National Laboratory for Cancer Research, Frederick, MD, USA
| | - Kelvin C de Andrade
- Division of Cancer Epidemiology and Genetics,
National Cancer Institute, National Institutes of Health,
Bethesda, MD, USA
| | - Fernanda P Fortes
- International Research Center, A.C. Camargo Cancer
Center, São Paulo, Brazil
| | - Alisa M Goldstein
- Division of Cancer Epidemiology and Genetics,
National Cancer Institute, National Institutes of Health,
Bethesda, MD, USA
| | - Payal P Khincha
- Division of Cancer Epidemiology and Genetics,
National Cancer Institute, National Institutes of Health,
Bethesda, MD, USA
| | - Mitchell J Machiela
- Division of Cancer Epidemiology and Genetics,
National Cancer Institute, National Institutes of Health,
Bethesda, MD, USA
| | - Mary L McMaster
- Division of Cancer Epidemiology and Genetics,
National Cancer Institute, National Institutes of Health,
Bethesda, MD, USA
| | - Michael L Nickerson
- Division of Cancer Epidemiology and Genetics,
National Cancer Institute, National Institutes of Health,
Bethesda, MD, USA
| | - Leatrisse Oba
- Division of Cancer Epidemiology and Genetics,
National Cancer Institute, National Institutes of Health,
Bethesda, MD, USA
| | - Alexander Pemov
- Division of Cancer Epidemiology and Genetics,
National Cancer Institute, National Institutes of Health,
Bethesda, MD, USA
| | - Maisa Pinheiro
- Division of Cancer Epidemiology and Genetics,
National Cancer Institute, National Institutes of Health,
Bethesda, MD, USA
| | - Melissa Rotunno
- Division of Cancer Control and Population Sciences,
National Cancer Institute, National Institutes of Health,
Bethesda, MD, USA
| | - Karina Santiago
- International Research Center, A.C. Camargo Cancer
Center, São Paulo, Brazil
| | - Talia Wegman-Ostrosky
- Basic Research Subdirection, Instituto Nacional de
Cancerología (INCan), Mexico City, Mexico
| | - W Ryan Diver
- Epidemiology Research Program, American Cancer
Society, Atlanta, GA, USA
| | - Lauren Teras
- Epidemiology Research Program, American Cancer
Society, Atlanta, GA, USA
| | - Neal D Freedman
- Division of Cancer Epidemiology and Genetics,
National Cancer Institute, National Institutes of Health,
Bethesda, MD, USA
| | - Belynda D Hicks
- Cancer Genomics Research Laboratory, Frederick
National Laboratory for Cancer Research, Frederick, MD, USA
| | - Bin Zhu
- Cancer Genomics Research Laboratory, Frederick
National Laboratory for Cancer Research, Frederick, MD, USA
| | - Mingyi Wang
- Cancer Genomics Research Laboratory, Frederick
National Laboratory for Cancer Research, Frederick, MD, USA
| | - Kristine Jones
- Cancer Genomics Research Laboratory, Frederick
National Laboratory for Cancer Research, Frederick, MD, USA
| | - Amy A Hutchinson
- Cancer Genomics Research Laboratory, Frederick
National Laboratory for Cancer Research, Frederick, MD, USA
| | - Casey Dagnall
- Cancer Genomics Research Laboratory, Frederick
National Laboratory for Cancer Research, Frederick, MD, USA
| | - Sharon A Savage
- Division of Cancer Epidemiology and Genetics,
National Cancer Institute, National Institutes of Health,
Bethesda, MD, USA
| | - Margaret A Tucker
- Division of Cancer Epidemiology and Genetics,
National Cancer Institute, National Institutes of Health,
Bethesda, MD, USA
| | - Stephen J Chanock
- Division of Cancer Epidemiology and Genetics,
National Cancer Institute, National Institutes of Health,
Bethesda, MD, USA
| | - Lindsay M Morton
- Division of Cancer Epidemiology and Genetics,
National Cancer Institute, National Institutes of Health,
Bethesda, MD, USA
| | - Douglas R Stewart
- Division of Cancer Epidemiology and Genetics,
National Cancer Institute, National Institutes of Health,
Bethesda, MD, USA
| | - Lisa Mirabello
- Division of Cancer Epidemiology and Genetics,
National Cancer Institute, National Institutes of Health,
Bethesda, MD, USA
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Im C, Li N, Moon W, Liu Q, Morton LM, Leisenring WM, Howell RM, Chow EJ, Sklar CA, Wilson CL, Wang Z, Sapkota Y, Chemaitilly W, Ness KK, Hudson MM, Robison LL, Bhatia S, Armstrong GT, Yasui Y. Genome-wide Association Studies Reveal Novel Locus With Sex-/Therapy-Specific Fracture Risk Effects in Childhood Cancer Survivors. J Bone Miner Res 2021; 36:685-695. [PMID: 33338273 PMCID: PMC8044050 DOI: 10.1002/jbmr.4234] [Citation(s) in RCA: 6] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 08/11/2020] [Revised: 12/04/2020] [Accepted: 12/10/2020] [Indexed: 12/18/2022]
Abstract
Childhood cancer survivors treated with radiation therapy (RT) and osteotoxic chemotherapies are at increased risk for fractures. However, understanding of how genetic and clinical susceptibility factors jointly contribute to fracture risk among survivors is limited. To address this gap, we conducted genome-wide association studies of fracture risk after cancer diagnosis in 2453 participants of European ancestry from the Childhood Cancer Survivor Study (CCSS) with 930 incident fractures using Cox regression models (ie, time-to-event analysis) and prioritized sex- and treatment-stratified genetic associations. We performed replication analyses in 1417 survivors of European ancestry with 652 incident fractures from the St. Jude Lifetime Cohort Study (SJLIFE). In discovery, we identified a genome-wide significant (p < 5 × 10-8 ) fracture risk locus, 16p13.3 (HAGHL), among female CCSS survivors (n = 1289) with strong evidence of sex-specific effects (psex-heterogeneity < 7 × 10-6 ). Combining discovery and replication data, rs1406815 showed the strongest association (hazard ratio [HR] = 1.43, p = 8.2 × 10-9 ; n = 1935 women) at this locus. In treatment-stratified analyses in the discovery cohort, the association between rs1406815 and fracture risk among female survivors with no RT exposures was weak (HR = 1.22, 95% confidence interval [CI] 0.95-1.57, p = 0.11) but increased substantially among those with greater head/neck RT doses (any RT: HR = 1.88, 95% CI 1.54-2.28, p = 2.4 × 10-10 ; >36 Gray only: HR = 3.79, 95% CI 1.95-7.34, p = 8.2 × 10-5 ). These head/neck RT-specific HAGHL single-nucleotide polymorphism (SNP) effects were replicated in female SJLIFE survivors. In silico bioinformatics analyses suggest these fracture risk alleles regulate HAGHL gene expression and related bone resorption pathways. Genetic risk profiles integrating this locus may help identify female survivors who would benefit from targeted interventions to reduce fracture risk. © 2020 American Society for Bone and Mineral Research (ASBMR).
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Affiliation(s)
- Cindy Im
- School of Public Health, University of Alberta, Edmonton, Canada
| | - Nan Li
- Department of Epidemiology and Cancer Control, St. Jude Children's Research Hospital, Memphis, TN, USA
| | - Wonjong Moon
- Department of Epidemiology and Cancer Control, St. Jude Children's Research Hospital, Memphis, TN, USA
| | - Qi Liu
- School of Public Health, University of Alberta, Edmonton, Canada
| | - Lindsay M Morton
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, National Institutes of Health, Department of Health and Human Services, Bethesda, MD, USA
| | - Wendy M Leisenring
- Clinical Research Division, Fred Hutchinson Cancer Research Center, Seattle, WA, USA
| | - Rebecca M Howell
- Department of Radiation Physic, MD Anderson Cancer Center, Houston, TX, USA
| | - Eric J Chow
- Clinical Research Division, Fred Hutchinson Cancer Research Center, Seattle, WA, USA
| | - Charles A Sklar
- Department of Pediatrics, Memorial Sloan Kettering Cancer Center, NY, New York, USA
| | - Carmen L Wilson
- Department of Epidemiology and Cancer Control, St. Jude Children's Research Hospital, Memphis, TN, USA
| | - Zhaoming Wang
- Department of Epidemiology and Cancer Control, St. Jude Children's Research Hospital, Memphis, TN, USA.,Department of Computational Biology, St. Jude Children's Research Hospital, Memphis, TN, USA
| | - Yadav Sapkota
- Department of Epidemiology and Cancer Control, St. Jude Children's Research Hospital, Memphis, TN, USA
| | - Wassim Chemaitilly
- Department of Epidemiology and Cancer Control, St. Jude Children's Research Hospital, Memphis, TN, USA.,Division of Endocrinology, Department of Pediatric Medicine, St. Jude Children's Research Hospital, Memphis, TN, USA
| | - Kirsten K Ness
- Department of Epidemiology and Cancer Control, St. Jude Children's Research Hospital, Memphis, TN, USA
| | - Melissa M Hudson
- Department of Epidemiology and Cancer Control, St. Jude Children's Research Hospital, Memphis, TN, USA.,Department of Oncology, St. Jude Children's Research Hospital, Memphis, TN, USA
| | - Leslie L Robison
- Department of Epidemiology and Cancer Control, St. Jude Children's Research Hospital, Memphis, TN, USA
| | - Smita Bhatia
- Institute for Cancer Outcomes and Survivorship, University of Alabama at Birmingham, Birmingham, AL, USA
| | - Gregory T Armstrong
- Department of Epidemiology and Cancer Control, St. Jude Children's Research Hospital, Memphis, TN, USA.,Department of Oncology, St. Jude Children's Research Hospital, Memphis, TN, USA
| | - Yutaka Yasui
- School of Public Health, University of Alberta, Edmonton, Canada.,Department of Epidemiology and Cancer Control, St. Jude Children's Research Hospital, Memphis, TN, USA
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Besson C, Moore A, Wu W, Vajdic CM, de Sanjose S, Camp NJ, Smedby KE, Shanafelt TD, Morton LM, Brewer JD, Zablotska L, Engels EA, Cerhan JR, Slager SL, Han J, Berndt SI. Common genetic polymorphisms contribute to the association between chronic lymphocytic leukaemia and non-melanoma skin cancer. Int J Epidemiol 2021; 50:1325-1334. [PMID: 33748835 DOI: 10.1093/ije/dyab042] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 02/19/2021] [Indexed: 01/13/2023] Open
Abstract
BACKGROUND Epidemiological studies have demonstrated a positive association between chronic lymphocytic leukaemia (CLL) and non-melanoma skin cancer (NMSC). We hypothesized that shared genetic risk factors between CLL and NMSC could contribute to the association observed between these diseases. METHODS We examined the association between (i) established NMSC susceptibility loci and CLL risk in a meta-analysis including 3100 CLL cases and 7667 controls and (ii) established CLL loci and NMSC risk in a study of 4242 basal cell carcinoma (BCC) cases, 825 squamous cell carcinoma (SCC) cases and 12802 controls. Polygenic risk scores (PRS) for CLL, BCC and SCC were constructed using established loci. Logistic regression was used to estimate odds ratios (ORs) and 95% confidence intervals (CIs). RESULTS Higher CLL-PRS was associated with increased BCC risk (OR4th-quartile-vs-1st-quartile = 1.13, 95% CI: 1.02-1.24, Ptrend = 0.009), even after removing the shared 6p25.3 locus. No association was observed with BCC-PRS and CLL risk (Ptrend = 0.68). These findings support a contributory role for CLL in BCC risk, but not for BCC in CLL risk. Increased CLL risk was observed with higher SCC-PRS (OR4th-quartile-vs-1st-quartile = 1.22, 95% CI: 1.08-1.38, Ptrend = 1.36 × 10-5), which was driven by shared genetic susceptibility at the 6p25.3 locus. CONCLUSION These findings highlight the role of pleiotropy regarding the pathogenesis of CLL and NMSC and shows that a single pleiotropic locus, 6p25.3, drives the observed association between genetic susceptibility to SCC and increased CLL risk. The study also provides evidence that genetic susceptibility for CLL increases BCC risk.
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Affiliation(s)
- Caroline Besson
- Service d'hématologie et Oncologie, Centre Hospitalier de Versailles, Le Chesnay; Université Paris-Saclay, UVSQ, Inserm, Équipe "Exposome et Hérédité", CESP, 94805, Villejuif, France
| | - Amy Moore
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, Bethesda, MD, USA
| | - Wenting Wu
- Department of Medical and Molecular Genetics, Indiana University School of Medicine, USA
| | - Claire M Vajdic
- Centre for Big Data Research in Health, University of New South Wales, Sydney, New South Wales, Australia
| | | | - Nicola J Camp
- Department of Internal Medicine and Huntsman Cancer Institute, University of Utah School of Medicine, Salt Lake City, UT, USA
| | - Karin E Smedby
- Department of Medicine, Solna, Karolinska Institutet, Stockholm, Sweden
| | - Tait D Shanafelt
- Department of Internal Medicine, Mayo Clinic, Rochester, MN, USA
| | - Lindsay M Morton
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, Bethesda, MD, USA
| | - Jerry D Brewer
- Department of Dermatology, Mayo Clinic, Rochester, MN, USA
| | - Lydia Zablotska
- Department of Epidemiology and Biostatistics, University of California San Francisco, San Francisco, CA, USA
| | - Eric A Engels
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, Bethesda, MD, USA
| | - James R Cerhan
- Service d'hématologie et Oncologie, Centre Hospitalier de Versailles, Le Chesnay; Université Paris-Saclay, UVSQ, Inserm, Équipe "Exposome et Hérédité", CESP, 94805, Villejuif, France
| | - Susan L Slager
- Department of Health Sciences Research, Mayo Clinic, Rochester, MN, USA
| | - Jiali Han
- Channing Division of Network Medicine, Department of Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, MA, USA
| | - Sonja I Berndt
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, Bethesda, MD, USA
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Sapkota Y, Li N, Pierzynski J, Mulrooney DA, Ness KK, Morton LM, Michael JR, Zhang J, Bhatia S, Armstrong GT, Hudson MM, Robison LL, Yasui Y. Contribution of Polygenic Risk to Hypertension Among Long-Term Survivors of Childhood Cancer. JACC CardioOncol 2021; 3:76-84. [PMID: 33842896 PMCID: PMC8026142 DOI: 10.1016/j.jaccao.2021.01.007] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Indexed: 12/18/2022]
Abstract
Background Childhood cancer survivors experience significantly higher rates of hypertension, which potentiates cardiovascular disease, but the contribution and relationship of genetic and treatment factors to hypertension risk are unknown. Objectives This study sought to determine the contribution of a blood pressure polygenic risk score (PRS) from the general population and its interplay with cancer therapies to hypertension in childhood cancer survivors. Methods Using 895 established blood pressure loci from the general population, we calculated a PRS for 3,572 childhood cancer survivors of European ancestry from the Childhood Cancer Survivor Study (CCSS) original cohort, 1,889 from the CCSS expansion cohort, and 2,534 from the St. Jude Lifetime Cohort. Hypertension was assessed using National Cancer Institute criteria based on self-report of a physician diagnosis in CCSS and based on blood pressure measurement in the St. Jude Lifetime Cohort. Results In the combined sample of 7,995 survivors, those in the top decile of the PRS had an odds ratio (OR) of 2.66 (95% confidence interval [CI]: 2.03 to 3.48) for hypertension compared with survivors in the bottom decile. The PRS-hypertension association was modified by being overweight/obese (per standard deviation interaction OR: 1.13; 95% CI: 1.01 to 1.27) and exposure to hypothalamic-pituitary axis radiation (per standard deviation interaction OR: 1.18; 95% CI: 1.05 to 1.33). Attributable fractions for hypertension to the PRS and cancer therapies were 21.0% and 15.7%, respectively; they jointly accounted for 40.2% of hypertension among survivors. Conclusions A blood pressure PRS from the general population is significantly associated with hypertension among childhood cancer survivors and contributes to approximately one quarter of hypertension risk among survivors. These findings highlight the importance of screening for hypertension in all childhood cancer survivors and identifying higher-risk subgroups.
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Affiliation(s)
- Yadav Sapkota
- Department of Epidemiology and Cancer Control, St. Jude Children's Research Hospital, Memphis, TN, USA
| | - Nan Li
- Department of Epidemiology and Cancer Control, St. Jude Children's Research Hospital, Memphis, TN, USA
| | - Jeanne Pierzynski
- Department of Epidemiology and Cancer Control, St. Jude Children's Research Hospital, Memphis, TN, USA
| | - Daniel A Mulrooney
- Department of Epidemiology and Cancer Control, St. Jude Children's Research Hospital, Memphis, TN, USA.,Department of Oncology, St. Jude Children's Research Hospital, Memphis, TN, USA
| | - Kirsten K Ness
- Department of Epidemiology and Cancer Control, St. Jude Children's Research Hospital, Memphis, TN, USA
| | - Lindsay M Morton
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, Bethesda, MD, USA
| | - J Robert Michael
- Department of Computational Biology, St. Jude Children's Research Hospital, Memphis, TN, USA
| | - Jinghui Zhang
- Department of Computational Biology, St. Jude Children's Research Hospital, Memphis, TN, USA
| | - Smita Bhatia
- Institute of Cancer Outcomes and Survivorship, University of Alabama at Birmingham, Birmingham, AL, USA
| | - Gregory T Armstrong
- Department of Epidemiology and Cancer Control, St. Jude Children's Research Hospital, Memphis, TN, USA
| | - Melissa M Hudson
- Department of Epidemiology and Cancer Control, St. Jude Children's Research Hospital, Memphis, TN, USA.,Department of Oncology, St. Jude Children's Research Hospital, Memphis, TN, USA
| | - Leslie L Robison
- Department of Epidemiology and Cancer Control, St. Jude Children's Research Hospital, Memphis, TN, USA
| | - Yutaka Yasui
- Department of Epidemiology and Cancer Control, St. Jude Children's Research Hospital, Memphis, TN, USA
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D’Arcy ME, Castenson D, Lynch CF, Kahn AR, Morton LM, Shiels MS, Pfeiffer RM, Engels EA. Risk of Rare Cancers Among Solid Organ Transplant Recipients. J Natl Cancer Inst 2021; 113:199-207. [PMID: 32462187 PMCID: PMC7850530 DOI: 10.1093/jnci/djaa078] [Citation(s) in RCA: 9] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/10/2020] [Revised: 05/04/2020] [Accepted: 05/21/2020] [Indexed: 12/13/2022] Open
Abstract
BACKGROUND Immunosuppressed solid organ transplant recipients (SOTRs) have elevated rates of certain rare cancers caused by viruses. Evaluating risk of rare cancers among SOTRs may provide etiological clues for additional cancers linked to poor immunity and viral infections. METHODS We performed a cohort study of 262 455 SOTRs (1987-2014) from the US SOTR registry linked to 17 population-based cancer registries. First cancers in SOTRs were categorized using an established classification scheme based on site and histology. Standardized incidence ratios (SIRs) compared risk in SOTRs with the general population. We used Poisson regression to calculate incidence rate ratios according to immune-related SOTR characteristics, including time since transplant (ie, duration of immunosuppression). All statistical tests were 2-sided. RESULTS We examined 694 distinct cancer subtypes, with 33 manifesting statistically significantly elevated SIRs (Bonferroni P < 7.2 × 10-5). All 33 are rare (incidence <6 per 100 000 person-years) and several have known viral etiology (eg, Merkel cell carcinoma: SIR = 24.7, 95% confidence interval [CI] = 20.8 to 29.1). Additional cancers that were increased include squamous cell carcinomas of the lip (SIR range = 18.3-19.8), eye and adnexa (SIR = 13.8, 95% CI = 7.9 to 22.3), salivary gland (SIR = 9.3, 95% CI = 6.1 to 13.5), and nasal cavity and sinuses (SIR = 4.5, 95% CI = 2.8 to 6.8); sebaceous adenocarcinoma (SIR = 34.3, 95% CI = 26.3 to 44.0); malignant fibrous histiocytoma (15.4); and subtypes of bladder, kidney, lung, and colon cancer (SIR range = 3.2-13.3). Incidence of several cancers increased over time since transplant (Ptrend < .05), including squamous cell carcinomas of the lip, salivary gland, and anogenital sites. CONCLUSIONS SOTRs experience elevated rates of several rare cancers. Because some of these cancers exhibit aggressive behavior with poor outcomes, it is important to further characterize the role of immunity and the potential involvement of oncogenic viruses to improve prevention and treatment.
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MESH Headings
- Adolescent
- Adult
- Aged
- Carcinoma, Merkel Cell/epidemiology
- Carcinoma, Merkel Cell/etiology
- Carcinoma, Merkel Cell/pathology
- Carcinoma, Squamous Cell/epidemiology
- Carcinoma, Squamous Cell/etiology
- Carcinoma, Squamous Cell/immunology
- Carcinoma, Squamous Cell/pathology
- Female
- Humans
- Immune Tolerance/immunology
- Immunocompromised Host/immunology
- Immunosuppression Therapy/adverse effects
- Male
- Middle Aged
- Neoplasms/epidemiology
- Neoplasms/etiology
- Neoplasms/immunology
- Neoplasms/pathology
- Organ Transplantation/adverse effects
- Rare Diseases/epidemiology
- Rare Diseases/etiology
- Rare Diseases/immunology
- Rare Diseases/pathology
- Registries
- Risk Factors
- Sarcoma, Kaposi/epidemiology
- Sarcoma, Kaposi/etiology
- Sarcoma, Kaposi/immunology
- Sarcoma, Kaposi/pathology
- Skin Neoplasms
- Transplant Recipients
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Affiliation(s)
- Monica E D’Arcy
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, Rockville, MD, USA
| | | | - Charles F Lynch
- Department of Epidemiology, University of Iowa, Iowa City, IA, USA
| | - Amy R Kahn
- Bureau of Cancer Epidemiology, New York State Department of Health, Albany, NY, USA
| | - Lindsay M Morton
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, Rockville, MD, USA
| | - Meredith S Shiels
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, Rockville, MD, USA
| | - Ruth M Pfeiffer
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, Rockville, MD, USA
| | - Eric A Engels
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, Rockville, MD, USA
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Mirabello L, Zhu B, Koster R, Karlins E, Dean M, Yeager M, Gianferante M, Spector LG, Morton LM, Karyadi D, Robison LL, Armstrong GT, Bhatia S, Song L, Pankratz N, Pinheiro M, Gastier-Foster JM, Gorlick R, de Toledo SRC, Petrilli AS, Patino-Garcia A, Lecanda F, Gutierrez-Jimeno M, Serra M, Hattinger C, Picci P, Scotlandi K, Flanagan AM, Tirabosco R, Amary MF, Kurucu N, Ilhan IE, Ballinger ML, Thomas DM, Barkauskas DA, Mejia-Baltodano G, Valverde P, Hicks BD, Zhu B, Wang M, Hutchinson AA, Tucker M, Sampson J, Landi MT, Freedman ND, Gapstur S, Carter B, Hoover RN, Chanock SJ, Savage SA. Frequency of Pathogenic Germline Variants in Cancer-Susceptibility Genes in Patients With Osteosarcoma. JAMA Oncol 2021; 6:724-734. [PMID: 32191290 DOI: 10.1001/jamaoncol.2020.0197] [Citation(s) in RCA: 118] [Impact Index Per Article: 39.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/04/2023]
Abstract
Importance Osteosarcoma, the most common malignant bone tumor in children and adolescents, occurs in a high number of cancer predisposition syndromes that are defined by highly penetrant germline mutations. The germline genetic susceptibility to osteosarcoma outside of familial cancer syndromes remains unclear. Objective To investigate the germline genetic architecture of 1244 patients with osteosarcoma. Design, Setting, and Participants Whole-exome sequencing (n = 1104) or targeted sequencing (n = 140) of the DNA of 1244 patients with osteosarcoma from 10 participating international centers or studies was conducted from April 21, 2014, to September 1, 2017. The results were compared with the DNA of 1062 individuals without cancer assembled internally from 4 participating studies who underwent comparable whole-exome sequencing and 27 173 individuals of non-Finnish European ancestry who were identified through the Exome Aggregation Consortium (ExAC) database. In the analysis, 238 high-interest cancer-susceptibility genes were assessed followed by testing of the mutational burden across 736 additional candidate genes. Principal component analyses were used to identify 732 European patients with osteosarcoma and 994 European individuals without cancer, with outliers removed for patient-control group comparisons. Patients were subsequently compared with individuals in the ExAC group. All data were analyzed from June 1, 2017, to July 1, 2019. Main Outcomes and Measures The frequency of rare pathogenic or likely pathogenic genetic variants. Results Among 1244 patients with osteosarcoma (mean [SD] age at diagnosis, 16 [8.9] years [range, 2-80 years]; 684 patients [55.0%] were male), an analysis restricted to individuals with European ancestry indicated a significantly higher pathogenic or likely pathogenic variant burden in 238 high-interest cancer-susceptibility genes among patients with osteosarcoma compared with the control group (732 vs 994, respectively; P = 1.3 × 10-18). A pathogenic or likely pathogenic cancer-susceptibility gene variant was identified in 281 of 1004 patients with osteosarcoma (28.0%), of which nearly three-quarters had a variant that mapped to an autosomal-dominant gene or a known osteosarcoma-associated cancer predisposition syndrome gene. The frequency of a pathogenic or likely pathogenic cancer-susceptibility gene variant was 128 of 1062 individuals (12.1%) in the control group and 2527 of 27 173 individuals (9.3%) in the ExAC group. A higher than expected frequency of pathogenic or likely pathogenic variants was observed in genes not previously linked to osteosarcoma (eg, CDKN2A, MEN1, VHL, POT1, APC, MSH2, and ATRX) and in the Li-Fraumeni syndrome-associated gene, TP53. Conclusions and Relevance In this study, approximately one-fourth of patients with osteosarcoma unselected for family history had a highly penetrant germline mutation requiring additional follow-up analysis and possible genetic counseling with cascade testing.
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Affiliation(s)
- Lisa Mirabello
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, National Institutes of Health, Bethesda, Maryland
| | - Bin Zhu
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, National Institutes of Health, Bethesda, Maryland
| | - Roelof Koster
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, National Institutes of Health, Bethesda, Maryland
| | - Eric Karlins
- Cancer Genomics Research Laboratory, Frederick National Laboratory for Cancer Research, Frederick, Maryland
| | - Michael Dean
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, National Institutes of Health, Bethesda, Maryland.,Cancer Genomics Research Laboratory, Frederick National Laboratory for Cancer Research, Frederick, Maryland
| | - Meredith Yeager
- Cancer Genomics Research Laboratory, Frederick National Laboratory for Cancer Research, Frederick, Maryland
| | - Matthew Gianferante
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, National Institutes of Health, Bethesda, Maryland
| | - Logan G Spector
- Department of Pediatrics, University of Minnesota, Minneapolis
| | - Lindsay M Morton
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, National Institutes of Health, Bethesda, Maryland
| | - Danielle Karyadi
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, National Institutes of Health, Bethesda, Maryland
| | - Leslie L Robison
- Department of Epidemiology and Cancer Control, St Jude Children's Research Hospital, Memphis, Tennessee
| | - Gregory T Armstrong
- Department of Epidemiology and Cancer Control, St Jude Children's Research Hospital, Memphis, Tennessee
| | - Smita Bhatia
- Institute for Cancer Outcomes and Survivorship, University of Alabama at Birmingham, Birmingham
| | - Lei Song
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, National Institutes of Health, Bethesda, Maryland
| | - Nathan Pankratz
- Department of Pediatrics, University of Minnesota, Minneapolis
| | - Maisa Pinheiro
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, National Institutes of Health, Bethesda, Maryland
| | - Julie M Gastier-Foster
- Department of Pathology and Pediatrics, Nationwide Children's Hospital, The Ohio State University, Columbus
| | - Richard Gorlick
- Department of Pediatrics, University of Texas MD Anderson Cancer Center, Houston
| | - Silvia Regina Caminada de Toledo
- Laboratorio de Genetica, Instituto de Oncologia Pediatrica, Grupo de Apoio ao Adolescente e a Crianca com Cancer/Universidade Federal de Sao Paulo, Sao Paulo, Brazil
| | - Antonio S Petrilli
- Laboratorio de Genetica, Instituto de Oncologia Pediatrica, Grupo de Apoio ao Adolescente e a Crianca com Cancer/Universidade Federal de Sao Paulo, Sao Paulo, Brazil
| | - Ana Patino-Garcia
- Solid Tumor Division, Department of Pediatrics, University Clinic of Navarra and Center for Applied Medical Research, Navarra Institute for Health Research, Pamplona, Spain.,Center for Applied Medical Research, University of Navarra, Instituto de Investigacion Sanitaria de Navarra, and Centro de Investigacion Biomedica en Red Cancer, Pamplona, Spain
| | - Fernando Lecanda
- Solid Tumor Division, Department of Pediatrics, University Clinic of Navarra and Center for Applied Medical Research, Navarra Institute for Health Research, Pamplona, Spain.,Center for Applied Medical Research, University of Navarra, Instituto de Investigacion Sanitaria de Navarra, and Centro de Investigacion Biomedica en Red Cancer, Pamplona, Spain
| | - Miriam Gutierrez-Jimeno
- Solid Tumor Division, Department of Pediatrics, University Clinic of Navarra and Center for Applied Medical Research, Navarra Institute for Health Research, Pamplona, Spain
| | - Massimo Serra
- Laboratory of Experimental Oncology, Istituto di Ricovero e Cura a Carattere Scientifico, Istituto Ortopedico Rizzoli, Bologna, Italy
| | - Claudia Hattinger
- Laboratory of Experimental Oncology, Istituto di Ricovero e Cura a Carattere Scientifico, Istituto Ortopedico Rizzoli, Bologna, Italy
| | - Piero Picci
- Laboratory of Experimental Oncology, Istituto di Ricovero e Cura a Carattere Scientifico, Istituto Ortopedico Rizzoli, Bologna, Italy
| | - Katia Scotlandi
- Laboratory of Experimental Oncology, Istituto di Ricovero e Cura a Carattere Scientifico, Istituto Ortopedico Rizzoli, Bologna, Italy
| | - Adrienne M Flanagan
- Research Department of Pathology, UCL Cancer Institute, London, United Kingdom.,Royal National Orthopaedic Hospital NHS Trust, Stanmore, Middlesex, United Kingdom
| | - Roberto Tirabosco
- Royal National Orthopaedic Hospital NHS Trust, Stanmore, Middlesex, United Kingdom
| | - Maria Fernanda Amary
- Royal National Orthopaedic Hospital NHS Trust, Stanmore, Middlesex, United Kingdom
| | - Nilgün Kurucu
- Department of Pediatric Oncology, A.Y. Ankara Oncology Training and Research Hospital, Yenimahalle, Ankara, Turkey
| | - Inci Ergurhan Ilhan
- Department of Pediatric Oncology, A.Y. Ankara Oncology Training and Research Hospital, Yenimahalle, Ankara, Turkey
| | - Mandy L Ballinger
- Garvan Institute of Medical Research, Darlinghurst, New South Wales, Australia.,St. Vincent's Clinical School, University of New South Wales, Sydney, New South Wales, Australia
| | - David M Thomas
- Garvan Institute of Medical Research, Darlinghurst, New South Wales, Australia.,St. Vincent's Clinical School, University of New South Wales, Sydney, New South Wales, Australia
| | - Donald A Barkauskas
- Department of Preventive Medicine, Keck School of Medicine, University of Southern California, Los Angeles, Los Angeles
| | | | | | - Belynda D Hicks
- Cancer Genomics Research Laboratory, Frederick National Laboratory for Cancer Research, Frederick, Maryland
| | - Bin Zhu
- Cancer Genomics Research Laboratory, Frederick National Laboratory for Cancer Research, Frederick, Maryland
| | - Mingyi Wang
- Cancer Genomics Research Laboratory, Frederick National Laboratory for Cancer Research, Frederick, Maryland
| | - Amy A Hutchinson
- Cancer Genomics Research Laboratory, Frederick National Laboratory for Cancer Research, Frederick, Maryland
| | - Margaret Tucker
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, National Institutes of Health, Bethesda, Maryland
| | - Joshua Sampson
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, National Institutes of Health, Bethesda, Maryland
| | - Maria T Landi
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, National Institutes of Health, Bethesda, Maryland
| | - Neal D Freedman
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, National Institutes of Health, Bethesda, Maryland
| | - Susan Gapstur
- Epidemiology Research Program, American Cancer Society, Atlanta, Georgia
| | - Brian Carter
- Epidemiology Research Program, American Cancer Society, Atlanta, Georgia
| | - Robert N Hoover
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, National Institutes of Health, Bethesda, Maryland
| | - Stephen J Chanock
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, National Institutes of Health, Bethesda, Maryland
| | - Sharon A Savage
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, National Institutes of Health, Bethesda, Maryland
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Hawkins M, Bhatia S, Henderson TO, Nathan PC, Yan A, Teepen JC, Morton LM. Subsequent Primary Neoplasms: Risks, Risk Factors, Surveillance, and Future Research. Pediatr Clin North Am 2020; 67:1135-1154. [PMID: 33131538 DOI: 10.1016/j.pcl.2020.07.006] [Citation(s) in RCA: 8] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/18/2022]
Abstract
The authors' objective is to provide a brief update on recent advances in knowledge relating to subsequent primary neoplasms developing in survivors of childhood cancer. This includes a summary of established large-scale cohorts, risks reported, and contrasts with results from recently established large-scale cohorts of survivors of adolescent and young adult cancer. Recent evidence is summarized concerning the role of radiotherapy and chemotherapy for childhood cancer and survivor genomics in determining the risk of subsequent primary neoplasms. Progress with surveillance, screening, and clinical follow-up guidelines is addressed. Finally, priorities for future research are outlined.
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Affiliation(s)
- Michael Hawkins
- Epidemiology & Director of Centre, Centre for Childhood Cancer Survivor Studies, Institute of Applied Health Research, University of Birmingham, Robert Aitken Building, Birmingham B15 2TY, UK.
| | - Smita Bhatia
- Institute for Cancer Outcomes and Survivorship, University of Alabama at Birmingham, Birmingham, AL, USA
| | | | - Paul C Nathan
- Division of Haematology/Oncology, The Hospital for Sick Children, Toronto, Canada
| | - Adam Yan
- Division of Haematology/Oncology, The Hospital for Sick Children, Toronto, Canada
| | - Jop C Teepen
- Princess Maxima Centre for Paediatric Oncology, Utrecht, The Netherlands
| | - Lindsay M Morton
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, National Institutes of Health, USA
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43
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Dixon SB, Chow EJ, Hjorth L, Hudson MM, Kremer LCM, Morton LM, Nathan PC, Ness KK, Oeffinger KC, Armstrong GT. The Future of Childhood Cancer Survivorship: Challenges and Opportunities for Continued Progress. Pediatr Clin North Am 2020; 67:1237-1251. [PMID: 33131544 PMCID: PMC7773506 DOI: 10.1016/j.pcl.2020.07.013] [Citation(s) in RCA: 16] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 02/06/2023]
Abstract
As treatment evolves and the population who survive childhood cancer ages and increases in number, researchers must use novel approaches to prevent, identify and mitigate adverse effects of treatment. Future priorities include collaborative efforts to pool large cohort data to improve detection of late effects, identify late effects of novel therapies, and determine the contribution of genetic factors along with physiologic and accelerated aging among survivors. This knowledge should translate to individual risk prediction and prevention strategies. Finally, we must utilize health services research and implementation science to improve adoption of survivorship care recommendations outside of specialized pediatric oncology centers.
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Affiliation(s)
- Stephanie B. Dixon
- Department of Oncology, St. Jude Children’s Research Hospital, Memphis, TN
| | - Eric J. Chow
- Fred Hutchinson Cancer Research Center, University of Washington, Seattle, WA
| | - Lars Hjorth
- Department of Paediatrics, Skåne University Hospital, Lund, Sweden
| | - Melissa M. Hudson
- Division of Cancer Survivorship, Department of Oncology, St. Jude. Children’s Research Hospital, Memphis, TN
| | | | - Lindsay M. Morton
- Radiation Epidemiology Branch, Division of Cancer Epidemiology and Genetics, National Cancer Institute, National Institutes of Health, Department of Health and Human Services, Bethesda, MD
| | - Paul C. Nathan
- Division of Hematology/Oncology, The Hospital for Sick Children, Toronto, ON, Canada
| | - Kirsten K. Ness
- Department of Epidemiology and Cancer Control, St. Jude. Children’s Research Hospital, Memphis, TN
| | | | - Gregory T. Armstrong
- Department of Epidemiology and Cancer Control, St. Jude. Children’s Research Hospital, Memphis, TN
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44
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Allodji RS, Tucker MA, Hawkins MM, Le Deley MC, Veres C, Weathers R, Howell R, Winter D, Haddy N, Rubino C, Diallo I, Little MP, Morton LM, de Vathaire F. Role of radiotherapy and chemotherapy in the risk of leukemia after childhood cancer: An international pooled analysis. Int J Cancer 2020; 148:2079-2089. [PMID: 33105035 DOI: 10.1002/ijc.33361] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/22/2020] [Revised: 10/09/2020] [Accepted: 10/12/2020] [Indexed: 12/19/2022]
Abstract
Childhood cancer survivors are at increased risk for second primary leukemia (SPL), but there is little consensus on the magnitude of some risk factors because of the small size of previous studies. We performed a pooled analysis of all published studies with detailed treatment data, including estimated active bone marrow (ABM) dose received during radiation therapy and doses of specific chemotherapeutic agents for childhood cancer diagnosed from 1930 through 2000, in order to more thoroughly investigate treatment-related risks of SPL. A total of 147 SPL cases (of which 69% were acute myeloid leukemia [AML]) were individually matched to 522 controls, all from four case-control studies including patients from six countries (France, United Kingdom, United States, Canada, Italy and Netherlands). Odds ratios (OR) and corresponding 95% confidence intervals (CIs) were calculated using conditional logistic regression, and the excess OR per Gray (EOR/Gy) was also calculated. After accounting for the other therapies received, topoisomerase II inhibitor was associated with an increased SPL risk (highest tertile vs none: OR = 10.0, 95% CI: 3.7-27.3). Radiation dose to the ABM was also associated with increased SPL risk among those not receiving chemotherapy (EOR/Gy = 1.6, 95% CI: 0.1-14.3), but not among those who received chemotherapy (CT). SPL were most likely to occur in the first decade following cancer treatment. Results were similar when analyses were restricted to AML. The evidence of interaction between radiation and CT has implications for leukemogenic mechanism. The results for topoisomerase II inhibitors are particularly important given their increasing use to treat childhood cancer.
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Affiliation(s)
- Rodrigue S Allodji
- Radiation Epidemiology Group, Unit 1018 INSERM-CESP, Villejuif, France.,Gustave Roussy, Villejuif, France.,Université Paris-Saclay, Villejuif, France.,Polytechnic School of Abomey-Calavi (EPAC), University of Abomey-Calavi, 01, Cotonou, Benin
| | - Margaret A Tucker
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, National Institutes of Health, Department of Health and Human Services, Bethesda, Maryland, USA
| | - Michael M Hawkins
- Centre for Childhood Cancer Survivor Studies, School of Health and Population Sciences, University of Birmingham, Public Health Bldg, Edgbaston, Birmingham, UK
| | | | - Cristina Veres
- Radiation Epidemiology Group, Unit 1018 INSERM-CESP, Villejuif, France.,Gustave Roussy, Villejuif, France.,Université Paris-Saclay, Villejuif, France
| | - Rita Weathers
- Department of Radiation Physics, The University of Texas MD Anderson Cancer Center, Houston, Texas, USA
| | - Rebecca Howell
- Department of Radiation Physics, The University of Texas MD Anderson Cancer Center, Houston, Texas, USA.,The University of Texas Graduate School of Biomedical Sciences (GSBS), Houston, Texas, USA
| | - Dave Winter
- Centre for Childhood Cancer Survivor Studies, School of Health and Population Sciences, University of Birmingham, Public Health Bldg, Edgbaston, Birmingham, UK
| | - Nadia Haddy
- Radiation Epidemiology Group, Unit 1018 INSERM-CESP, Villejuif, France.,Gustave Roussy, Villejuif, France.,Université Paris-Saclay, Villejuif, France
| | - Carole Rubino
- Radiation Epidemiology Group, Unit 1018 INSERM-CESP, Villejuif, France.,Gustave Roussy, Villejuif, France.,Université Paris-Saclay, Villejuif, France
| | - Ibrahima Diallo
- Radiation Epidemiology Group, Unit 1018 INSERM-CESP, Villejuif, France.,Gustave Roussy, Villejuif, France.,Université Paris-Saclay, Villejuif, France
| | - Mark P Little
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, National Institutes of Health, Department of Health and Human Services, Bethesda, Maryland, USA
| | - Lindsay M Morton
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, National Institutes of Health, Department of Health and Human Services, Bethesda, Maryland, USA
| | - Florent de Vathaire
- Radiation Epidemiology Group, Unit 1018 INSERM-CESP, Villejuif, France.,Gustave Roussy, Villejuif, France.,Université Paris-Saclay, Villejuif, France
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45
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Bolton KL, Ptashkin RN, Gao T, Braunstein L, Devlin SM, Kelly D, Patel M, Berthon A, Syed A, Yabe M, Coombs CC, Caltabellotta NM, Walsh M, Offit K, Stadler Z, Mandelker D, Schulman J, Patel A, Philip J, Bernard E, Gundem G, Ossa JEA, Levine M, Martinez JSM, Farnoud N, Glodzik D, Li S, Robson ME, Lee C, Pharoah PDP, Stopsack KH, Spitzer B, Mantha S, Fagin J, Boucai L, Gibson CJ, Ebert BL, Young AL, Druley T, Takahashi K, Gillis N, Ball M, Padron E, Hyman DM, Baselga J, Norton L, Gardos S, Klimek VM, Scher H, Bajorin D, Paraiso E, Benayed R, Arcila ME, Ladanyi M, Solit DB, Berger MF, Tallman M, Garcia-Closas M, Chatterjee N, Diaz LA, Levine RL, Morton LM, Zehir A, Papaemmanuil E. Cancer therapy shapes the fitness landscape of clonal hematopoiesis. Nat Genet 2020; 52:1219-1226. [PMID: 33106634 PMCID: PMC7891089 DOI: 10.1038/s41588-020-00710-0] [Citation(s) in RCA: 312] [Impact Index Per Article: 78.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/05/2020] [Accepted: 09/02/2020] [Indexed: 01/30/2023]
Abstract
Acquired mutations are pervasive across normal tissues. However, understanding of the processes that drive transformation of certain clones to cancer is limited. Here we study this phenomenon in the context of clonal hematopoiesis (CH) and the development of therapy-related myeloid neoplasms (tMNs). We find that mutations are selected differentially based on exposures. Mutations in ASXL1 are enriched in current or former smokers, whereas cancer therapy with radiation, platinum and topoisomerase II inhibitors preferentially selects for mutations in DNA damage response genes (TP53, PPM1D, CHEK2). Sequential sampling provides definitive evidence that DNA damage response clones outcompete other clones when exposed to certain therapies. Among cases in which CH was previously detected, the CH mutation was present at tMN diagnosis. We identify the molecular characteristics of CH that increase risk of tMN. The increasing implementation of clinical sequencing at diagnosis provides an opportunity to identify patients at risk of tMN for prevention strategies.
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MESH Headings
- Adolescent
- Adult
- Aged
- Aged, 80 and over
- Antineoplastic Agents/pharmacology
- Cell Transformation, Neoplastic/drug effects
- Cell Transformation, Neoplastic/genetics
- Cell Transformation, Neoplastic/radiation effects
- Child
- Child, Preschool
- Clonal Evolution
- Clonal Hematopoiesis/drug effects
- Clonal Hematopoiesis/genetics
- Cohort Studies
- Female
- Genetic Fitness
- Humans
- Infant
- Infant, Newborn
- Leukemia, Myeloid/genetics
- Male
- Middle Aged
- Models, Biological
- Mutation
- Neoplasms/drug therapy
- Neoplasms/radiotherapy
- Neoplasms, Second Primary/genetics
- Selection, Genetic
- Young Adult
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Affiliation(s)
- Kelly L Bolton
- Department of Medicine, Leukemia Service, Memorial Sloan Kettering Cancer Center, New York, NY, USA
| | - Ryan N Ptashkin
- Department of Pathology, Memorial Sloan Kettering Cancer Center, New York, NY, USA
| | - Teng Gao
- Computational Oncology Service, Department of Epidemiology & Biostatistics, Center for Computational Oncology, Memorial Sloan Kettering Cancer Center, New York, NY, USA
| | - Lior Braunstein
- Department of Radiation Oncology, Memorial Sloan Kettering Cancer Center, New York, NY, USA
| | - Sean M Devlin
- Department of Epidemiology & Biostatistics, Memorial Sloan Kettering Cancer Center, New York, NY, USA
| | - Daniel Kelly
- Department of Information Systems, Memorial Sloan Kettering Cancer Center, New York, NY, USA
| | - Minal Patel
- Center for Hematologic Malignancies, Memorial Sloan Kettering Cancer Center, New York, NY, USA
| | - Antonin Berthon
- Computational Oncology Service, Department of Epidemiology & Biostatistics, Center for Computational Oncology, Memorial Sloan Kettering Cancer Center, New York, NY, USA
| | - Aijazuddin Syed
- Department of Pathology, Memorial Sloan Kettering Cancer Center, New York, NY, USA
| | - Mariko Yabe
- Department of Pathology, Hematopathology Service, Memorial Sloan Kettering Cancer Center, New York, NY, USA
| | - Catherine C Coombs
- Department of Medicine, University of North Carolina at Chapel Hill, Chapel Hill, NC, USA
| | - Nicole M Caltabellotta
- Center for Hematologic Malignancies, Memorial Sloan Kettering Cancer Center, New York, NY, USA
| | - Mike Walsh
- Department of Medicine, Memorial Sloan Kettering Cancer Center, New York, NY, USA
| | - Kenneth Offit
- Department of Medicine, Memorial Sloan Kettering Cancer Center, New York, NY, USA
| | - Zsofia Stadler
- Department of Medicine, Clinical Genetics Service, Memorial Sloan Kettering Cancer Center, New York, NY, USA
| | - Diana Mandelker
- Department of Pathology, Memorial Sloan Kettering Cancer Center, New York, NY, USA
| | - Jessica Schulman
- Center for Hematologic Malignancies, Memorial Sloan Kettering Cancer Center, New York, NY, USA
| | - Akshar Patel
- Center for Hematologic Malignancies, Memorial Sloan Kettering Cancer Center, New York, NY, USA
| | - John Philip
- Department of Health Informatics, Memorial Sloan Kettering Cancer Center, New York, NY, USA
| | - Elsa Bernard
- Computational Oncology Service, Department of Epidemiology & Biostatistics, Center for Computational Oncology, Memorial Sloan Kettering Cancer Center, New York, NY, USA
| | - Gunes Gundem
- Computational Oncology Service, Department of Epidemiology & Biostatistics, Center for Computational Oncology, Memorial Sloan Kettering Cancer Center, New York, NY, USA
| | - Juan E Arango Ossa
- Center for Hematologic Malignancies, Memorial Sloan Kettering Cancer Center, New York, NY, USA
| | - Max Levine
- Department of Pediatrics, Memorial Sloan Kettering Cancer Center, New York, NY, USA
| | | | - Noushin Farnoud
- Center for Hematologic Malignancies, Memorial Sloan Kettering Cancer Center, New York, NY, USA
| | - Dominik Glodzik
- Computational Oncology Service, Department of Epidemiology & Biostatistics, Center for Computational Oncology, Memorial Sloan Kettering Cancer Center, New York, NY, USA
| | - Sonya Li
- Department of Medicine, Memorial Sloan Kettering Cancer Center, New York, NY, USA
| | - Mark E Robson
- Department of Medicine, Memorial Sloan Kettering Cancer Center, New York, NY, USA
| | - Choonsik Lee
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, National Institutes of Health, Bethesda, MD, USA
| | - Paul D P Pharoah
- Department of Oncology, University of Cambridge, Addenbrooke's Hospital, Cambridge, UK
- Department of Public Health and Primary Care, University of Cambridge, Strangeways Research Laboratory, Cambridge, UK
| | - Konrad H Stopsack
- Department of Medicine, Memorial Sloan Kettering Cancer Center, New York, NY, USA
| | - Barbara Spitzer
- Department of Pediatrics, Memorial Sloan Kettering Cancer Center, New York, NY, USA
| | - Simon Mantha
- Department of Medicine, Hematology Service, Memorial Sloan Kettering Cancer Center, New York, NY, USA
| | - James Fagin
- Department of Medicine, Memorial Sloan Kettering Cancer Center, New York, NY, USA
- Human Oncology and Pathogenesis Program, Memorial Sloan Kettering Cancer Center, New York, NY, USA
| | - Laura Boucai
- Department of Medicine, Endocrinology Service, Memorial Sloan Kettering Cancer Center, New York, NY, USA
| | | | - Benjamin L Ebert
- Department of Medical Oncology, Dana-Farber Cancer Institute, Boston, MA, USA
| | - Andrew L Young
- Department of Medicine, Washington University School of Medicine, St. Louis, MO, USA
| | - Todd Druley
- Department of Pediatrics, Washington University School of Medicine, St. Louis, MO, USA
| | - Koichi Takahashi
- Department of Leukemia, The University of Texas MD Anderson Cancer Center, Houston, TX, USA
| | - Nancy Gillis
- Department of Cancer Epidemiology, Moffitt Cancer Center, Tampa, FL, USA
- Department of Malignant Hematology, Moffitt Cancer Center, Tampa, FL, USA
| | - Markus Ball
- Department of Malignant Hematology, Moffitt Cancer Center, Tampa, FL, USA
- Institute of Pathology, Faculty of Medicine and University Hospital Cologne, University of Cologne, Cologne, Germany
| | - Eric Padron
- Department of Malignant Hematology, Moffitt Cancer Center, Tampa, FL, USA
| | - David M Hyman
- Department of Medicine, Memorial Sloan Kettering Cancer Center, New York, NY, USA
- Weill Cornell Medical College, New York, NY, USA
| | - Jose Baselga
- Research & Development, AstraZeneca, Milton, Cambridge, UK
| | - Larry Norton
- Department of Medicine, Memorial Sloan Kettering Cancer Center, New York, NY, USA
- Weill Cornell Medical College, New York, NY, USA
| | - Stuart Gardos
- Department of Medicine, Memorial Sloan Kettering Cancer Center, New York, NY, USA
- Weill Cornell Medical College, New York, NY, USA
| | - Virginia M Klimek
- Department of Medicine, Memorial Sloan Kettering Cancer Center, New York, NY, USA
- Weill Cornell Medical College, New York, NY, USA
| | - Howard Scher
- Department of Medicine, Memorial Sloan Kettering Cancer Center, New York, NY, USA
- Weill Cornell Medical College, New York, NY, USA
| | - Dean Bajorin
- Department of Medicine, Memorial Sloan Kettering Cancer Center, New York, NY, USA
- Weill Cornell Medical College, New York, NY, USA
| | - Eder Paraiso
- Department of Medicine, Endocrinology Service, Memorial Sloan Kettering Cancer Center, New York, NY, USA
- Center for Strategy & Innovation, Memorial Sloan Kettering Cancer Center, New York, NY, USA
| | - Ryma Benayed
- Department of Pathology, Memorial Sloan Kettering Cancer Center, New York, NY, USA
| | - Maria E Arcila
- Department of Pathology, Memorial Sloan Kettering Cancer Center, New York, NY, USA
| | - Marc Ladanyi
- Department of Pathology, Memorial Sloan Kettering Cancer Center, New York, NY, USA
| | - David B Solit
- Department of Medicine, Memorial Sloan Kettering Cancer Center, New York, NY, USA
- Department of Medicine, Endocrinology Service, Memorial Sloan Kettering Cancer Center, New York, NY, USA
- Marie-Josée and Henry R. Kravis Center for Molecular Oncology, Memorial Sloan Kettering Cancer Center, New York, NY, USA
| | - Michael F Berger
- Department of Pathology, Memorial Sloan Kettering Cancer Center, New York, NY, USA
- Department of Medicine, Endocrinology Service, Memorial Sloan Kettering Cancer Center, New York, NY, USA
- Marie-Josée and Henry R. Kravis Center for Molecular Oncology, Memorial Sloan Kettering Cancer Center, New York, NY, USA
| | - Martin Tallman
- Department of Medicine, Leukemia Service, Memorial Sloan Kettering Cancer Center, New York, NY, USA
| | - Montserrat Garcia-Closas
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, National Institutes of Health, Bethesda, MD, USA
| | - Nilanjan Chatterjee
- Department of Biostatistics, Bloomberg School of Public Health Department of Oncology, School of Medicine, Johns Hopkins University, Baltimore, MD, USA
| | - Luis A Diaz
- Department of Medicine, Memorial Sloan Kettering Cancer Center, New York, NY, USA
- Program in Precision Interception and Prevention, Memorial Sloan Kettering Cancer Center, New York, NY, USA
- Department of Medicine, Solid Tumor Division, Memorial Sloan Kettering Cancer Center, New York, NY, USA
| | - Ross L Levine
- Department of Medicine, Leukemia Service, Memorial Sloan Kettering Cancer Center, New York, NY, USA
| | - Lindsay M Morton
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, National Institutes of Health, Bethesda, MD, USA
| | - Ahmet Zehir
- Department of Pathology, Memorial Sloan Kettering Cancer Center, New York, NY, USA.
| | - Elli Papaemmanuil
- Computational Oncology Service, Department of Epidemiology & Biostatistics, Center for Computational Oncology, Memorial Sloan Kettering Cancer Center, New York, NY, USA.
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46
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Tonorezos ES, Friedman DN, Barnea D, Bosscha MI, Chantada G, Dommering CJ, de Graaf P, Dunkel IJ, Fabius AWM, Francis JH, Greer MLC, Kleinerman RA, Kors WA, Laughlin S, Moll AC, Morton LM, Temming P, Tucker MA, van Leeuwen FE, Walsh MF, Oeffinger KC, Abramson DH. Recommendations for Long-Term Follow-up of Adults with Heritable Retinoblastoma. Ophthalmology 2020; 127:1549-1557. [PMID: 32422154 PMCID: PMC7606265 DOI: 10.1016/j.ophtha.2020.05.024] [Citation(s) in RCA: 13] [Impact Index Per Article: 3.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/18/2019] [Revised: 05/05/2020] [Accepted: 05/08/2020] [Indexed: 12/17/2022] Open
Abstract
PURPOSE To generate recommendations for long-term follow-up of adult survivors of heritable retinoblastoma. DESIGN We convened a meeting of providers from retinoblastoma centers around the world to review the state of the science and to evaluate the published evidence. PARTICIPANTS Retinoblastoma is a rare childhood cancer of the retina. Approximately 40% of retinoblastoma cases are heritable, resulting from a germline mutation in RB1. Dramatic improvements in treatment and supportive care have resulted in a growing adult survivor population. However, survivors of heritable retinoblastoma have a significantly increased risk of subsequent malignant neoplasms, particularly bone and soft tissue sarcomas, uterine leiomyosarcoma, melanomas, and radiotherapy-related central nervous system tumors, which are associated with excess morbidity and mortality. Despite these risks, no surveillance recommendations for this population currently are in place, and surveillance practices vary widely by center. METHODS Following the Institute of Medicine procedure for clinical practice guideline development, a PubMed, EMBASE, and Web of Science search was performed, resulting in 139 articles; after abstract and full-text review, 37 articles underwent detailed data abstraction to quantify risk and evidence regarding surveillance, if available. During an in-person meeting, evidence was presented and discussed, resulting in consensus recommendations. MAIN OUTCOME MEASURES Diagnosis and mortality from subsequent neoplasm. RESULTS Although evidence for risk of subsequent neoplasm, especially sarcoma and melanoma, was significant, evidence supporting routine testing of asymptomatic survivors was not identified. Skin examination for melanoma and prompt evaluation of signs and symptoms of head and neck disease were determined to be prudent. CONCLUSIONS This review of the literature confirmed some of the common second cancers in retinoblastoma survivors but found little evidence for a benefit from currently available surveillance for these malignancies. Future research should incorporate international partners, patients, and family members.
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Affiliation(s)
- Emily S Tonorezos
- Memorial Sloan Kettering Cancer Center, New York, New York; Weill Cornell Medical College, New York, New York.
| | | | - Dana Barnea
- Tel Aviv Sourasky Medical Center, Tel Aviv, Israel
| | | | | | | | - Pim de Graaf
- Amsterdam UMC, Vrije Universiteit Amsterdam, Amsterdam, the Netherlands
| | - Ira J Dunkel
- Memorial Sloan Kettering Cancer Center, New York, New York; Weill Cornell Medical College, New York, New York
| | - Armida W M Fabius
- Amsterdam UMC, Vrije Universiteit Amsterdam, Amsterdam, the Netherlands
| | | | | | - Ruth A Kleinerman
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, National Institutes of Health, Bethesda, Maryland
| | - Wijnanda A Kors
- Amsterdam UMC, Vrije Universiteit Amsterdam, Amsterdam, the Netherlands
| | - Suzanne Laughlin
- Hospital for Sick Children, University of Toronto, Toronto, Canada
| | - Annette C Moll
- Amsterdam UMC, Vrije Universiteit Amsterdam, Amsterdam, the Netherlands
| | - Lindsay M Morton
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, National Institutes of Health, Bethesda, Maryland
| | | | - Margaret A Tucker
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, National Institutes of Health, Bethesda, Maryland
| | | | | | | | - David H Abramson
- Memorial Sloan Kettering Cancer Center, New York, New York; Weill Cornell Medical College, New York, New York
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47
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Richard MA, Brown AL, Belmont JW, Scheurer ME, Arroyo VM, Foster KL, Kern KD, Hudson MM, Leisenring WM, Okcu MF, Sapkota Y, Yasui Y, Morton LM, Chanock SJ, Robison LL, Armstrong GT, Bhatia S, Oeffinger KC, Lupo PJ, Kamdar KY. Genetic variation in the body mass index of adult survivors of childhood acute lymphoblastic leukemia: A report from the Childhood Cancer Survivor Study and the St. Jude Lifetime Cohort. Cancer 2020; 127:310-318. [PMID: 33048379 DOI: 10.1002/cncr.33258] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/13/2020] [Revised: 07/06/2020] [Accepted: 08/13/2020] [Indexed: 12/14/2022]
Abstract
BACKGROUND Treatment characteristics such as cranial radiation therapy (CRT) do not fully explain adiposity risk in childhood acute lymphoblastic leukemia (ALL) survivors. This study was aimed at characterizing genetic variation related to adult body mass index (BMI) among survivors of childhood ALL. METHODS Genetic associations of BMI among 1458 adult survivors of childhood ALL (median time from diagnosis, 20 years) were analyzed by multiple approaches. A 2-stage genome-wide association study in the Childhood Cancer Survivor Study (CCSS) and the St. Jude Lifetime Cohort Study (SJLIFE) was performed. BMI was a highly polygenic trait in the general population. Within the known loci, the BMI percent variance explained was estimated, and additive interactions (chi-square test) with CRT in the CCSS were evaluated. The role of DNA methylation in CRT interaction was further evaluated in a subsample of ALL survivors. RESULTS In a meta-analysis of the CCSS and SJLIFE, 2 novel loci associated with adult BMI among survivors of childhood ALL (LINC00856 rs575792008 and EMR1 rs62123082; PMeta < 5E-8) were identified. It was estimated that the more than 700 known loci explained 6.2% of the variation in adult BMI in childhood ALL survivors. Within the known loci, significant main effects for 23 loci and statistical interactions with CRT at 9 loci (P < 7.0E-5) were further identified. At 2 CRT-interacting loci, DNA methylation patterns may have differed by age. CONCLUSIONS Adult survivors of childhood ALL have genetic heritability for BMI similar to that observed in the general population. This study provides evidence that treatment with CRT can modify the effect of genetic variants on adult BMI in childhood ALL survivors.
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Affiliation(s)
- Melissa A Richard
- Section of Hematology/Oncology, Department of Pediatrics, Texas Children's Cancer Center and Baylor College of Medicine, Houston, Texas
| | - Austin L Brown
- Section of Hematology/Oncology, Department of Pediatrics, Texas Children's Cancer Center and Baylor College of Medicine, Houston, Texas
| | - John W Belmont
- Department of Molecular and Human Genetics, Baylor College of Medicine, Houston, Texas
| | - Michael E Scheurer
- Section of Hematology/Oncology, Department of Pediatrics, Texas Children's Cancer Center and Baylor College of Medicine, Houston, Texas
| | - Vidal M Arroyo
- Section of Hematology/Oncology, Department of Pediatrics, Texas Children's Cancer Center and Baylor College of Medicine, Houston, Texas
| | - Kayla L Foster
- Section of Hematology/Oncology, Department of Pediatrics, Texas Children's Cancer Center and Baylor College of Medicine, Houston, Texas
| | - Kathleen D Kern
- Section of Hematology/Oncology, Department of Pediatrics, Texas Children's Cancer Center and Baylor College of Medicine, Houston, Texas
| | - Melissa M Hudson
- Department of Oncology, St. Jude Children's Research Hospital, Memphis, Tennessee.,Department of Epidemiology and Cancer Control, St. Jude Children's Research Hospital, Memphis, Tennessee
| | - Wendy M Leisenring
- Clinical Research and Public Health Sciences Divisions, Fred Hutchinson Cancer Research Center, Seattle, Washington
| | - M Fatih Okcu
- Section of Hematology/Oncology, Department of Pediatrics, Texas Children's Cancer Center and Baylor College of Medicine, Houston, Texas
| | - Yadav Sapkota
- Department of Epidemiology and Cancer Control, St. Jude Children's Research Hospital, Memphis, Tennessee
| | - Yutaka Yasui
- Department of Epidemiology and Cancer Control, St. Jude Children's Research Hospital, Memphis, Tennessee
| | - Lindsay M Morton
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, Bethesda, Maryland
| | - Stephen J Chanock
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, Bethesda, Maryland
| | - Leslie L Robison
- Department of Epidemiology and Cancer Control, St. Jude Children's Research Hospital, Memphis, Tennessee
| | - Gregory T Armstrong
- Department of Epidemiology and Cancer Control, St. Jude Children's Research Hospital, Memphis, Tennessee
| | - Smita Bhatia
- Institute for Cancer Outcomes and Survivorship, University of Alabama at Birmingham, Birmingham, Alabama.,Department of Pediatrics, University of Alabama at Birmingham, Birmingham, Alabama
| | - Kevin C Oeffinger
- Department of Medicine, Duke University School of Medicine, Durham, North Carolina
| | - Philip J Lupo
- Section of Hematology/Oncology, Department of Pediatrics, Texas Children's Cancer Center and Baylor College of Medicine, Houston, Texas
| | - Kala Y Kamdar
- Section of Hematology/Oncology, Department of Pediatrics, Texas Children's Cancer Center and Baylor College of Medicine, Houston, Texas
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48
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Im C, Qin N, Wang Z, Qiu W, Howell CR, Sapkota Y, Moon W, Chemaitilly W, Gibson TM, Mulrooney DA, Ness KK, Wilson CL, Morton LM, Armstrong GT, Bhatia S, Zhang J, Hudson MM, Robison LL, Yasui Y. Generalizability of "GWAS Hits" in Clinical Populations: Lessons from Childhood Cancer Survivors. Am J Hum Genet 2020; 107:636-653. [PMID: 32946765 PMCID: PMC7536574 DOI: 10.1016/j.ajhg.2020.08.014] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [What about the content of this article? (0)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/06/2020] [Accepted: 08/19/2020] [Indexed: 12/15/2022] Open
Abstract
With mounting interest in translating genome-wide association study (GWAS) hits from large meta-analyses (meta-GWAS) in diverse clinical settings, evaluating their generalizability in target populations is crucial. Here, we consider long-term survivors of childhood cancers from the St. Jude Lifetime Cohort Study, and we show the limited generalizability of 1,376 robust SNP associations reported in the general population across 12 complex anthropometric and cardiometabolic phenotypes (n = 2,231; observed-to-expected replication ratio = 0.70, p = 6.2 × 10-8). An examination of five comparable phenotypes in a second independent cohort of survivors from the Childhood Cancer Survivor Study corroborated the overall limited generalizability of meta-GWAS hits to survivors (n = 4,212; observed-to-expected replication ratio = 0.55, p = 5.6 × 10-15). Finally, in direct comparisons of survivor samples against independent equivalently powered general population samples from the UK Biobank, we consistently observed lower meta-GWAS hit replication rates and poorer polygenic risk score predictive performance in survivor samples for multiple phenotypes. As a possible explanation, we found that meta-GWAS hits were less likely to be replicated in survivors who had been exposed to cancer therapies that are associated with phenotype risk. Examination of complementary DNA methylation data in a subset of survivors revealed that treatment-related methylation patterns at genomic sites linked to meta-GWAS hits may disrupt established genetic signals in survivors.
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Dores GM, Curtis RE, Dalal NH, Linet MS, Morton LM. Cause-Specific Mortality Following Initial Chemotherapy in a Population-Based Cohort of Patients With Classical Hodgkin Lymphoma, 2000-2016. J Clin Oncol 2020; 38:4149-4162. [PMID: 32946352 DOI: 10.1200/jco.20.00264] [Citation(s) in RCA: 24] [Impact Index Per Article: 6.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/09/2023] Open
Abstract
PURPOSE Mortality for patients with classical Hodgkin lymphoma (cHL) treated during an era characterized in the United States by widespread use of doxorubicin, bleomycin, vinblastine, and dacarbazine and diminishing use of radiotherapy is not well understood. PATIENTS AND METHODS We identified 20,007 individuals diagnosed with stage I/II (early) or III/IV (advanced) cHL between age 20 and 74 years treated with initial chemotherapy in US population-based cancer registries during 2000-2015 (follow-up through 2016). We used standardized mortality ratios (SMRs) to compare cause-specific relative mortality risk following cHL to that expected in the general population and estimated excess absolute risks (EARs; per 10,000 patient-years) to quantify disease-specific death burden. RESULTS We identified 3,380 deaths in the cHL cohort, including 1,321 (39%) not attributed to lymphoma. Overall, noncancer SMRs were increased 2.4-fold (95% CI, 2.2 to 2.6; observed, 559; EAR, 61.6) and 1.6-fold (95% CI, 1.4 to 1.7; observed, 473; EAR, 18.2) for advanced- and early-stage cHL, respectively, compared with the general US population. SMRs and EARs differed substantially by cause of death and cHL stage. Among the highest EARs for noncancer causes of death were those for heart disease (EAR, 15.1; SMR, 2.1), infections (EAR, 10.6; SMR, 3.9), interstitial lung disease (ILD; EAR, 9.7; SMR, 22.1), and adverse events (AEs) related to medications/drugs (EAR, 7.4; SMR, 5.0) after advanced-stage cHL and heart disease (EAR, 6.6; SMR, 1.7), ILD (EAR, 3.7; SMR, 13.1), and infections (EAR, 3.1; SMR, 2.2) after early-stage cHL. Strikingly elevated SMRs for ILD, infections, and AEs were observed < 1 year after cHL. Individuals age 60-74 years with advanced-stage cHL experienced a disproportionate excess of deaths as a result of heart disease, ILD, infections, AEs, and solid tumors. CONCLUSION Despite evolving cHL treatment approaches, patients continue to face increased nonlymphoma mortality risks from multiple, potentially preventable causes. Surveillance, early interventions, and cHL treatment refinements may favorably affect patient longevity, particularly among high-risk subgroups.
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Affiliation(s)
- Graça M Dores
- Radiation Epidemiology Branch, Division of Cancer Epidemiology and Genetics, National Cancer Institute, National Institutes of Health, Department of Health and Human Services, Bethesda, MD.,US Food and Drug Administration, Center for Biologics Evaluation and Research, Office of Biostatistics and Epidemiology, Silver Spring, MD
| | - Rochelle E Curtis
- Radiation Epidemiology Branch, Division of Cancer Epidemiology and Genetics, National Cancer Institute, National Institutes of Health, Department of Health and Human Services, Bethesda, MD
| | - Nicole H Dalal
- Radiation Epidemiology Branch, Division of Cancer Epidemiology and Genetics, National Cancer Institute, National Institutes of Health, Department of Health and Human Services, Bethesda, MD.,Duke University School of Medicine, Durham, NC
| | - Martha S Linet
- Radiation Epidemiology Branch, Division of Cancer Epidemiology and Genetics, National Cancer Institute, National Institutes of Health, Department of Health and Human Services, Bethesda, MD
| | - Lindsay M Morton
- Radiation Epidemiology Branch, Division of Cancer Epidemiology and Genetics, National Cancer Institute, National Institutes of Health, Department of Health and Human Services, Bethesda, MD
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50
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Lin SH, Sampson JN, Grünewald TGP, Surdez D, Reynaud S, Mirabeau O, Karlins E, Rubio RA, Zaidi S, Grossetête-Lalami S, Ballet S, Lapouble E, Laurence V, Michon J, Pierron G, Kovar H, Kontny U, González-Neira A, Alonso J, Patino-Garcia A, Corradini N, Bérard PM, Miller J, Freedman ND, Rothman N, Carter BD, Dagnall CL, Burdett L, Jones K, Manning M, Wyatt K, Zhou W, Yeager M, Cox DG, Hoover RN, Khan J, Armstrong GT, Leisenring WM, Bhatia S, Robison LL, Kulozik AE, Kriebel J, Meitinger T, Metzler M, Krumbholz M, Hartmann W, Strauch K, Kirchner T, Dirksen U, Mirabello L, Tucker MA, Tirode F, Morton LM, Chanock SJ, Delattre O, Machiela MJ. Low-frequency variation near common germline susceptibility loci are associated with risk of Ewing sarcoma. PLoS One 2020; 15:e0237792. [PMID: 32881892 PMCID: PMC7470401 DOI: 10.1371/journal.pone.0237792] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/24/2020] [Accepted: 08/03/2020] [Indexed: 12/26/2022] Open
Abstract
BACKGROUND Ewing sarcoma (EwS) is a rare, aggressive solid tumor of childhood, adolescence and young adulthood associated with pathognomonic EWSR1-ETS fusion oncoproteins altering transcriptional regulation. Genome-wide association studies (GWAS) have identified 6 common germline susceptibility loci but have not investigated low-frequency inherited variants with minor allele frequencies below 5% due to limited genotyped cases of this rare tumor. METHODS We investigated the contribution of rare and low-frequency variation to EwS susceptibility in the largest EwS genome-wide association study to date (733 EwS cases and 1,346 unaffected controls of European ancestry). RESULTS We identified two low-frequency variants, rs112837127 and rs2296730, on chromosome 20 that were associated with EwS risk (OR = 0.186 and 2.038, respectively; P-value < 5×10-8) and located near previously reported common susceptibility loci. After adjusting for the most associated common variant at the locus, only rs112837127 remained a statistically significant independent signal (OR = 0.200, P-value = 5.84×10-8). CONCLUSIONS These findings suggest rare variation residing on common haplotypes are important contributors to EwS risk. IMPACT Motivate future targeted sequencing studies for a comprehensive evaluation of low-frequency and rare variation around common EwS susceptibility loci.
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Affiliation(s)
- Shu-Hong Lin
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, Bethesda, MD, United States of America
| | - Joshua N Sampson
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, Bethesda, MD, United States of America
| | - Thomas G P Grünewald
- Max-Eder Research Group for Pediatric Sarcoma Biology, Ludwig Maximilians Universität (LMU), Munich, Germany.,Division of Translational Pediatric Sarcoma Research, German Cancer Research Center (DKFZ), German Cancer Consortium (DKTK), Heidelberg, Germany.,Institute of Pathology, Heidelberg University Hospital, Heidelberg, Germany
| | - Didier Surdez
- Inserm U830, Équipe Labellisés LNCC, PSL Université, Institut Curie, Paris, France
| | | | - Olivier Mirabeau
- Inserm U830, Équipe Labellisés LNCC, PSL Université, Institut Curie, Paris, France.,SIREDO Oncology Centre, Institut Curie, Paris, France
| | - Eric Karlins
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, Bethesda, MD, United States of America.,Cancer Genomics Research Laboratory, Frederick National Laboratory for Cancer Research, Leidos Biomedical Research Inc., Frederick, MD, United States of America
| | - Rebeca Alba Rubio
- Max-Eder Research Group for Pediatric Sarcoma Biology, Ludwig Maximilians Universität (LMU), Munich, Germany
| | - Sakina Zaidi
- Inserm U830, Équipe Labellisés LNCC, PSL Université, Institut Curie, Paris, France.,SIREDO Oncology Centre, Institut Curie, Paris, France
| | - Sandrine Grossetête-Lalami
- Inserm U830, Équipe Labellisés LNCC, PSL Université, Institut Curie, Paris, France.,SIREDO Oncology Centre, Institut Curie, Paris, France
| | - Stelly Ballet
- SIREDO Oncology Centre, Institut Curie, Paris, France
| | - Eve Lapouble
- SIREDO Oncology Centre, Institut Curie, Paris, France
| | | | - Jean Michon
- SIREDO Oncology Centre, Institut Curie, Paris, France
| | | | - Heinrich Kovar
- Children's Cancer Research Institute, St. Anna Kinderkrebsforschung, Vienna, Austria
| | - Udo Kontny
- Division of Pediatric Hematology, Oncology and Stem Cell Transplantation, Uniklinik RWTH Aachen, Aachen, Germany
| | - Anna González-Neira
- Human Genotyping Unit-CeGen, Human Cancer Genetics Programme, Spanish National Cancer Research Centre, Madrid, Spain
| | - Javier Alonso
- Unidad de Tumores Solidos Infantiles (IIER-ISCIII) & Centro de Investigación Biomédica en Red de Enfermedades Raras (CB06/07/1009; CIBERER-ISCIII), Instituto de Salud Carlos III, Majadahonda, Spain
| | - Ana Patino-Garcia
- Laboratory of Pediatrics, University Clinic of Navarra, Program in Solid Tumors, Center for Applied Medical Research (CIMA) and Navarra's Health Research Institute (IdiSNA), Pamplona, Spain
| | - Nadège Corradini
- Institute for Paediatric Haematology and Oncology, Leon Bérard Cancer Centre, University of Lyon, Lyon, France
| | - Perrine Marec Bérard
- Institute for Paediatric Haematology and Oncology, Leon Bérard Cancer Centre, University of Lyon, Lyon, France
| | - Jeremy Miller
- Information Management Services, Inc., Calverton, MD, United States of America
| | - Neal D Freedman
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, Bethesda, MD, United States of America
| | - Nathaniel Rothman
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, Bethesda, MD, United States of America
| | - Brian D Carter
- Behavioral and Epidemiology Research Group, American Cancer Society, Atlanta, GA, United States of America
| | - Casey L Dagnall
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, Bethesda, MD, United States of America.,Cancer Genomics Research Laboratory, Frederick National Laboratory for Cancer Research, Leidos Biomedical Research Inc., Frederick, MD, United States of America
| | - Laurie Burdett
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, Bethesda, MD, United States of America.,Cancer Genomics Research Laboratory, Frederick National Laboratory for Cancer Research, Leidos Biomedical Research Inc., Frederick, MD, United States of America
| | - Kristine Jones
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, Bethesda, MD, United States of America.,Cancer Genomics Research Laboratory, Frederick National Laboratory for Cancer Research, Leidos Biomedical Research Inc., Frederick, MD, United States of America
| | - Michelle Manning
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, Bethesda, MD, United States of America.,Cancer Genomics Research Laboratory, Frederick National Laboratory for Cancer Research, Leidos Biomedical Research Inc., Frederick, MD, United States of America
| | - Kathleen Wyatt
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, Bethesda, MD, United States of America.,Cancer Genomics Research Laboratory, Frederick National Laboratory for Cancer Research, Leidos Biomedical Research Inc., Frederick, MD, United States of America
| | - Weiyin Zhou
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, Bethesda, MD, United States of America.,Cancer Genomics Research Laboratory, Frederick National Laboratory for Cancer Research, Leidos Biomedical Research Inc., Frederick, MD, United States of America
| | - Meredith Yeager
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, Bethesda, MD, United States of America.,Cancer Genomics Research Laboratory, Frederick National Laboratory for Cancer Research, Leidos Biomedical Research Inc., Frederick, MD, United States of America
| | - David G Cox
- Institut National de la Santé et de la Recherche Médicale (INSERM), Paris, France
| | - Robert N Hoover
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, Bethesda, MD, United States of America
| | - Javed Khan
- Genetics Branch, Center for Cancer Research, National Cancer Institute, Bethesda, MD, United States of America
| | - Gregory T Armstrong
- Department of Epidemiology and Cancer Control, St. Jude Children's Research Hospital, Memphis, TN, United States of America
| | - Wendy M Leisenring
- Cancer Prevention and Clinical Statistics Programs, Fred Hutchinson Cancer Research Center, Seattle, WA, United States of America
| | - Smita Bhatia
- Institute for Cancer Outcomes and Survivorship, University of Alabama at Birmingham, Birmingham, AL, United States of America
| | - Leslie L Robison
- Department of Epidemiology and Cancer Control, St. Jude Children's Research Hospital, Memphis, TN, United States of America
| | - Andreas E Kulozik
- Department of Pediatric Oncology, Hematology and Immunology and Hopp Children Cancer Center, University of Heidelberg, Heidelberg, Germany
| | - Jennifer Kriebel
- Research Unit of Molecular Epidemiology, Helmholtz Zentrum München, German Research Center for Environmental Health, Neuherberg, Germany.,Institute of Epidemiology, Helmholtz Zentrum München, German Research Center for Environmental Health, Neuherberg, Germany.,German Center for Diabetes Research (DZD), München, Neuherberg, Germany
| | - Thomas Meitinger
- German Research Center for Environmental Health, Institute of Human Genetics, Helmholtz Zentrum München, Neuherberg, Germany.,Institute of Human Genetics, Technische Universität München, Munich, Germany
| | - Markus Metzler
- Department of Paediatrics and Adolescent Medicine, University Hospital of Erlangen, Erlangen, Germany
| | - Manuela Krumbholz
- Department of Paediatrics and Adolescent Medicine, University Hospital of Erlangen, Erlangen, Germany
| | - Wolfgang Hartmann
- Division of Translational Pathology, Gerhard-Domagk Institute of Pathology, University Hospital of Münster, Münster, Germany
| | | | - Thomas Kirchner
- Institute of Pathology, Faculty of Medicine, LMU Munich, Munich, Germany
| | - Uta Dirksen
- Pediatrics III, West German Cancer Centre, University Hospital Essen, Essen, Germany.,German Cancer Consortium (DKTK), Center Essen, Heidelberg, Germany
| | - Lisa Mirabello
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, Bethesda, MD, United States of America
| | - Margaret A Tucker
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, Bethesda, MD, United States of America
| | - Franck Tirode
- Inserm U830, Équipe Labellisés LNCC, PSL Université, Institut Curie, Paris, France.,SIREDO Oncology Centre, Institut Curie, Paris, France
| | - Lindsay M Morton
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, Bethesda, MD, United States of America
| | - Stephen J Chanock
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, Bethesda, MD, United States of America
| | - Olivier Delattre
- Inserm U830, Équipe Labellisés LNCC, PSL Université, Institut Curie, Paris, France.,SIREDO Oncology Centre, Institut Curie, Paris, France
| | - Mitchell J Machiela
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, Bethesda, MD, United States of America
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