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Mundt E, Mabey B, Rainville I, Ricker C, Singh N, Gardiner A, Manley S, Slavin T. Breast and colorectal cancer risks among over 6,000 CHEK2 pathogenic variant carriers: A comparison of missense versus truncating variants. Cancer Genet 2023; 278-279:84-90. [PMID: 37839337 DOI: 10.1016/j.cancergen.2023.10.002] [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] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/21/2023] [Revised: 09/20/2023] [Accepted: 10/08/2023] [Indexed: 10/17/2023]
Abstract
BACKGROUND AND AIMS Heterozygous truncating pathogenic variants (PVs) in CHEK2 confer a 1.5 to 3-fold increased risk for breast cancer and may elevate colorectal cancer risks. Less is known regarding missense variants. Here we compared the cancer associations with truncating and missense PVs in CHEK2 across breast and colorectal cancer. METHODS This was a retrospective analysis of 705,797 patients who received single laboratory multigene panel testing between 2013 and 2020. Multivariable logistic regression models determined cancer risk associated with CHEK2 variants as odds ratios (ORs) and 95% confidence intervals (CIs) after adjusting for age at diagnosis, cancer history, and ancestry. Breast and colorectal cancer analyses were performed using 6255 CHEK2 PVs, including truncating PVs (N = 4505) and missense PVs (N = 1750). RESULTS CHEK2 PVs were associated with an increased risk of ductal invasive breast cancer (p < 0.001) and ductal carcinoma in situ (DCIS) (p < 0.001), with no statistically significant differences when truncating PVs (p < 0.001) and missense PVs (p < 0.001) were evaluated separately. All CHEK2 variants assessed conferred little to no risk of colorectal cancer. CONCLUSIONS In our large cohort, CHEK2 truncating and missense PVs conferred similar risks for breast cancer and did not seem to elevate risk for colorectal cancer.
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Affiliation(s)
- Erin Mundt
- Myriad Genetics Laboratories, Inc., Salt Lake City, UT, United States of America.
| | - Brent Mabey
- Myriad Genetics, Inc., Salt Lake City, UT, United States of America
| | - Irene Rainville
- Myriad Genetics Laboratories, Inc., Salt Lake City, UT, United States of America
| | - Charite Ricker
- Norris Comprehensive Cancer Center, University of Southern California, Los Angeles, CA, United States of America
| | - Nanda Singh
- Myriad Genetics Laboratories, Inc., Salt Lake City, UT, United States of America
| | - Anna Gardiner
- Myriad Genetics, Inc., Salt Lake City, UT, United States of America
| | - Susan Manley
- Myriad Genetics, Inc., Salt Lake City, UT, United States of America
| | - Thomas Slavin
- Myriad Genetics, Inc., Salt Lake City, UT, United States of America
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Bloom EA, Peters PN, Whitaker R, Russell S, Albright B, Cummings S, Timms KM, Slavin T, Probst B, Strickland KC, Previs RA. Association of Genomic Instability Score, Tumor Mutational Burden, and Tumor-Infiltrating Lymphocytes as Biomarkers in Uterine Serous Carcinoma. Cancers (Basel) 2023; 15:528. [PMID: 36672477 PMCID: PMC9856872 DOI: 10.3390/cancers15020528] [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] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/13/2022] [Revised: 12/22/2022] [Accepted: 01/13/2023] [Indexed: 01/18/2023] Open
Abstract
Background: Uterine serous carcinomas represent 10% of uterine carcinomas but account for nearly 40% of deaths from the disease. Improved molecular characterization of these tumors is instrumental in guiding targeted treatment and improving outcomes. This study assessed the genomic instability score (GIS), tumor mutational burden (TMB), and tumor-infiltrating lymphocytes (TILs) in patients with USC. Methods: A retrospective cohort study evaluated patients with USC following staging surgery. The GIS and TMB were determined from archived specimens. We evaluated the tumoral expression of CD3, CD4, CD8, FOXP3, and CD68 using immunohistochemistry. T-tests were used to assess associations of TILs with the GIS. Results: We evaluated 53 patients with USC. The median GIS was 31 (range: 0−52) and a higher GIS was not associated with progression-free (PFS) or overall survival (OS). The median TMB was 1.35 mt/Mb; patients with TMB > 1.35 mt/Mb had improved PFS and OS (p = 0.005; p = 0.002, respectively). Tumors with increased CD3+ and CD4+ immune cells had a higher mean GIS (p = 0.013, p = 0.002). Conclusions: TMB > 1.35 mt/Mb was associated with improved survival in USC patients, whereas the GIS was not. Lower TMB thresholds may provide prognostic value for less immunogenic tumors such as USC. In this limited cohort, we observed that increased TIL populations were correlated with a higher GIS.
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Affiliation(s)
- Elizabeth A. Bloom
- Duke University School of Medicine, Duke University, Durham, NC 27710, USA
| | - Pamela N. Peters
- Department of Obstetrics and Gynecology, Division of Gynecologic Oncology, Duke University School of Medicine, Durham, NC 27710, USA
| | - Regina Whitaker
- Department of Obstetrics and Gynecology, Division of Gynecologic Oncology, Duke University School of Medicine, Durham, NC 27710, USA
| | - Shonagh Russell
- Department of Pharmacology and Cancer Biology, Duke University School of Medicine, Durham, NC 27710, USA
| | - Benjamin Albright
- Department of Obstetrics and Gynecology, Division of Gynecologic Oncology, Duke University School of Medicine, Durham, NC 27710, USA
| | - Shelly Cummings
- Myriad Genetics Laboratories, Inc., Salt Lake City, UT 84108, USA
| | - Kirsten M. Timms
- Myriad Genetics Laboratories, Inc., Salt Lake City, UT 84108, USA
| | - Thomas Slavin
- Myriad Genetics Laboratories, Inc., Salt Lake City, UT 84108, USA
| | - Braden Probst
- Myriad Genetics Laboratories, Inc., Salt Lake City, UT 84108, USA
| | | | - Rebecca A. Previs
- Department of Obstetrics and Gynecology, Division of Gynecologic Oncology, Duke University School of Medicine, Durham, NC 27710, USA
- Labcorp Oncology, Durham, NC 27560, USA
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Coudert M, Drouet Y, Delhomelle H, Svrcek M, Benusiglio PR, Coulet F, Clark DF, Katona BW, van Hest LP, van der Kolk LE, Cats A, van Dieren JM, Nehoray B, Slavin T, Spier I, Hüneburg R, Lobo S, Oliveira C, Boussemart L, Masson L, Chiesa J, Schwartz M, Buecher B, Golmard L, Bouvier AM, Bonadona V, Stoppa-Lyonnet D, Lasset C, Colas C. First estimates of diffuse gastric cancer risks for carriers of CTNNA1 germline pathogenic variants. J Med Genet 2022; 59:1189-1195. [PMID: 36038258 DOI: 10.1136/jmg-2022-108740] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [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: 06/03/2022] [Accepted: 08/02/2022] [Indexed: 01/12/2023]
Abstract
BACKGROUND Pathogenic variants (PV) of CTNNA1 are found in families fulfilling criteria for hereditary diffuse gastric cancer (HDGC) but no risk estimates were available until now. The aim of this study is to evaluate diffuse gastric cancer (DGC) risks for carriers of germline CTNNA1 PV. METHODS Data from published CTNNA1 families were updated and new families were identified through international collaborations. The cumulative risk of DGC by age for PV carriers was estimated with the genotype restricted likelihood (GRL) method, taking into account non-genotyped individuals and conditioning on all observed phenotypes and genotypes of the index case to obtain unbiased estimates. A non-parametric (NP) and the Weibull functions were used to model the shape of penetrance function with the GRL. Kaplan-Meier incidence curve and standardised incidence ratios were also computed. A 'leave-one-out' strategy was used to evaluate estimate uncertainty. RESULTS Thirteen families with 46 carriers of PV were included. The cumulative risks of DGC at 80 years for carriers of CTNNA1 PV are 49% and 57%, respectively with the Weibull GRL and NP GRL methods. Risk ratios to population incidence reach particularly high values at early ages and decrease with age. At 40 years, they are equal to 65 and 833, respectively with the Weibull GRL and NP GRL. CONCLUSION This is the largest series of CTNNA1 families that provides the first risk estimates of GC. These data will help to improve management and surveillance for these patients and support inclusion of CTNNA1 in germline testing panels.
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Affiliation(s)
- Marie Coudert
- Département de Génétique, Institut Curie, Paris, France
| | - Youenn Drouet
- CNRS UMR 5558 LBBE, Université de Lyon, Villeurbanne, France.,Département Prévention et Santé Publique, Centre Léon Bérard, Lyon, France
| | | | - Magali Svrcek
- AP-HP, Saint-Antoine Hospital, Department of Pathology, Sorbonne Université, Paris, France
| | - Patrick R Benusiglio
- Département de Génétique Médicale, AP-HP, Hôpital Pitié-Salpêtrière, Sorbonne Université, Paris, France
| | - Florence Coulet
- Département de Génétique Médicale, AP-HP, Hôpital Pitié-Salpêtrière, Sorbonne Université, Paris, France
| | - Dana Farengo Clark
- Division of Hematology and Oncology, Department of Medicine, University of Pennsylvania Perelman School of Medicine, Philadelphia, Pennsylvania, USA
| | - Bryson W Katona
- Division of Gastroenterology and Hepatology, Department of Medicine, University of Pennsylvania Perelman School of Medicine, Philadelphia, Pennsylvania, USA
| | - Liselotte P van Hest
- Department of Clinical Genetics, Vrije Universiteit Amsterdam, Amsterdam, The Netherlands
| | | | - Annemieke Cats
- Department of Gastrointestinal Oncology, Netherlands Cancer Institute, Amsterdam, The Netherlands
| | - Jolanda M van Dieren
- Department of Gastrointestinal Oncology, Netherlands Cancer Institute, Amsterdam, The Netherlands
| | - Bita Nehoray
- Division of Clinical Cancer Genomics, City of Hope, Duarte, California, USA
| | - Thomas Slavin
- Departments of Medical Oncology and Population Sciences, City of Hope, Duarte, California, USA
| | - Isabel Spier
- Institute of Human Genetics/National Center for Hereditary Tumor Syndromes, University Hospital Bonn, Bonn, Germany
| | - Robert Hüneburg
- Department of Internal Medicine/National Center for Hereditary Tumor Syndromes, University Hospital Bonn, Bonn, Germany
| | - Silvana Lobo
- IPATIMUP-Institut of Molecular Pathology and Immunology, University of Porto, Porto, Portugal.,i3s, Universidade do Porto Instituto de Investigação e Inovação em Saúde, Porto, Portugal
| | - Carla Oliveira
- Instituto de Investigação e Inovação em Saúde & Institute of Molecular Pathology and Immunology, University of Porto, Porto, Portugal.,Faculty of Medicine, University of Porto, Porto, Portugal
| | | | | | - Jean Chiesa
- Génétique, Hopital Universitaire Caremeau, Nimes, France
| | | | - Bruno Buecher
- Département de Génétique, Institut Curie, Paris, France
| | - Lisa Golmard
- Département de Génétique, Institut Curie, Paris, France
| | - Anne-Marie Bouvier
- Digestive Cancer Registry of Burgundy, UMR 1231, Réseau FRANCIM (réseau Français des registres du cancer), Burgundy Franche-Comté University, Dijon, France
| | - Valérie Bonadona
- CNRS UMR 5558 LBBE, Université de Lyon, Villeurbanne, France.,Unité Clinique d'Oncologie génétique, Centre Leon Berard, Lyon, France
| | - Dominique Stoppa-Lyonnet
- Département de Génétique, Institut Curie, Paris, France.,INSERM U830, Université de Paris, Paris, France
| | - Christine Lasset
- CNRS UMR 5558 LBBE, Université de Lyon, Villeurbanne, France.,Département Prévention et Santé Publique, Centre Léon Bérard, Lyon, France
| | - Chrystelle Colas
- Département de Génétique, Institut Curie, Paris, France .,INSERM U830, Université de Paris, Paris, France
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Brzeskiewicz L, Roscow B, Beeks A, Kunz B, Ratzel S, Slavin T, Cummings S, Tedesco K, Reid R. eP054: Real-world clinical characteristics and management of breast cancer in patients with germline pathogenic variants in ATM, CHEK2 and PALB2. Genet Med 2022. [DOI: 10.1016/j.gim.2022.01.092] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/15/2022] Open
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Shore ND, Lenz L, Flake DD, Meek S, Davis T, Copeland K, Finch R, Schiff W, Korman H, Rao M, Belkoff L, D'Anna R, Slavin T, Cohen T. Hereditary cancer risk assessment in the community urology practice setting. J Clin Oncol 2022. [DOI: 10.1200/jco.2022.40.6_suppl.278] [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
278 Background: Professional guidelines recommend hereditary cancer risk assessment (HCRA) for men with prostate cancer to inform both risk of cancer (primary or subsequent) and treatment decisions. The objectives of the study were to evaluate the feasibility of integrating a HCRA protocol in urology practice for patients with prostate cancer and determine the response of providers and patients to the HCRA protocol. Methods: This prospective study was divided into 4 segments: process integration (4 wks.), practice (4 wks.), post-integration (8 wks.), and follow up (10 wks.). Study site staff were trained to perform HCRA for men with prostate cancer (integration). The sites then incorporated recommendations from the integration process into their normal practice workflow (practice). During the post-integration period, the HCRA process was implemented with eligible patients consented to participate. Eligible patients were ≥18 years old, had a personal history of prostate cancer, and met National Comprehensive Cancer Network guidelines for genetic testing (2.2018). Patients and providers completed surveys regarding testing ≥ 8 weeks of test delivery or 1 week of end of data collection period, respectively (follow up). Results: In the 8 weeks prior to the study, 4.2% of patients completed testing at the study sites. During the study, 8.4% of patients completed testing, about 1/2 of eligible patients screened. Of all patients who completed testing and consented for their results to be summarized (N = 182), 10.4% (N = 19) tested positive for a single pathogenic variant (PV; monoallelic MUTYH N = 4; BRCA2 N = 3; ATM, BRCA1, BRIP1, CHEK2, HOXB13 N = 2 each; RAD51C, RAD51D N = 1 each). Not all men who tested positive or a PV reported a family history of cancer and not all PVs detected were in known prostate cancer risk genes. During follow up, most providers (61.0%) felt HCRA was as important as other assessments regularly performed and 68.3% planned to continue to use the HCRA process. In contrast, only 9.8% of providers did not believe HCRA was as important and 12.2% did not plan to continue to use the process. Of the patients that responded to the survey (N = 166), most had shared (62.0%) or planned to share (25.3%) their results with family members post-testing. Conclusions: Urologists and patients responded favorably to HCRA protocol integration. Based on this study, education around and incorporation of an HCRA process in a community urology practice setting for men with prostate cancer appears effective at increasing appropriate uptake of genetic testing. Clinical trial information: NCT04015102.
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Affiliation(s)
- Neal D. Shore
- Urology, Carolina Urologic Research Center and Atlantic Urology Clinics, Myrtle Beach, SC
| | | | | | | | | | | | - Rob Finch
- Myriad Genetics, Inc., Salt Lake City, UT
| | | | | | - Manoj Rao
- Urologic Specialists of Northwest Indiana, Merrillville, IN
| | | | | | | | - Todd Cohen
- Myriad Genetics, Inc., Salt Lake City, UT
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Rennert G, Nehoray B, Lejbkowicz F, Dishon S, Kalet S, Herzog J, Slavin T, Castillo D, Tsang K, Sand S, Rennert HS, Weitzel J. Abstract P3-13-07: A comprehensive germline genetic landscape in young Jewish & Arab women with breast cancer. Cancer Res 2022. [DOI: 10.1158/1538-7445.sabcs21-p3-13-07] [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
Background: After decades of research on Ashkenazi Jewish (AJ) founder mutations in BRCA1 and BRCA2 (BRCA), there is still little known about genetics in non-AJ and Arab breast cancer populations in Israel and non-BRCA pathogenic variants (PV) in the total population. We used multigene panel testing (MGPT) to characterize the spectrum and prevalence of PV in cancer susceptibility genes in various Jewish and Arab demographic subgroups. Methods: A population-based cohort of women diagnosed with breast cancer before the age of 46 in a defined geographical area in Northern Israel was recruited as part of the BCINIS study and underwent MGPT. Probability matrices of proportion of PV by gene, and by ethnic sub-group (AJs, Sephardi Jews of North African origin, Sephardi Jews of other Eastern origins, Arabs), age-sub-group (35 and under, 36-45) and first-degree family history of breast, ovary or pancreatic cancer were calculated. Results: Overall, 1650 women were tested, including 1012 Jewish, 530 Arab and 108 non-Jewish/non-Arab women. We detected 375 PV among 363 women (22.7%): 212 in AJ (33.4% of AJs), 61 in Sephardi Jews (14.2% of Sephardi), and 69 in Arabs (13.0% of Arab). Only 162 of the PV (43.2%) were the BRCA AJ founders, another 39 BRCA PV (10.4%) were reported previously, while 15 BRCA PV (4.0%) are likely private. The remaining non-BRCA PV (42.4%) were distributed across 18 genes, with findings predominantly in CHEK2, MUTYH, ATM, BLM, ERCC3, PALB2, and FANCA. The prevalence of PV varied significantly across the ancestral subsets, from 95.5% probability in AJ women diagnosed before age 36 and with first degree family history to only 9.3% in Arab women diagnosed at age 36-45 and without family history. Conclusions: In this comprehensive, population-based, cohort of women with young onset breast cancer, the presence of PV in more than 15 genes is compelling and informs a necessarily broader approach to genetic testing and counseling.
Citation Format: Gad Rennert, Bita Nehoray, Flavio Lejbkowicz, Sara Dishon, Shiri Kalet, Joseph Herzog, Thomas Slavin, Danielle Castillo, Kevin Tsang, Sharon Sand, Hedy S Rennert, Jeffrey Weitzel. A comprehensive germline genetic landscape in young Jewish & Arab women with breast cancer [abstract]. In: Proceedings of the 2021 San Antonio Breast Cancer Symposium; 2021 Dec 7-10; San Antonio, TX. Philadelphia (PA): AACR; Cancer Res 2022;82(4 Suppl):Abstract nr P3-13-07.
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Affiliation(s)
- Gad Rennert
- Carmel Medical Center and Technion Faculty of Medicine, Haifa, Israel
| | - Bita Nehoray
- Division of Clinical Cancer Genomics, City of Hope, Duarte, CA
| | - Flavio Lejbkowicz
- Carmel Medical Center and Technion Faculty of Medicine, Haifa, Israel
| | - Sara Dishon
- Carmel Medical Center and Technion Faculty of Medicine, Haifa, Israel
| | - Shiri Kalet
- Carmel Medical Center and Technion Faculty of Medicine, Haifa, Israel
| | - Joseph Herzog
- Division of Clinical Cancer Genomics, City of Hope, Duarte, CA
| | - Thomas Slavin
- Division of Clinical Cancer Genomics, City of Hope, Duarte, CA
| | | | - Kevin Tsang
- Division of Clinical Cancer Genomics, City of Hope, Duarte, CA
| | - Sharon Sand
- Division of Clinical Cancer Genomics, City of Hope, Duate, CA
| | - Hedy S Rennert
- Carmel Medical Center and Technion Faculty of Medicine, Haifa, Israel
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Kurian AW, Abrahamse P, Ward KC, Hamilton AS, Deapen D, Berek JS, Hoang L, Yussuf A, Dolinsky J, Brown K, Slavin T, Hofer TP, Katz SJ. Association of Family Cancer History With Pathogenic Variants in Specific Breast Cancer Susceptibility Genes. JCO Precis Oncol 2021; 5:PO.21.00261. [PMID: 34977446 PMCID: PMC8710333 DOI: 10.1200/po.21.00261] [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] [Received: 06/10/2021] [Revised: 09/12/2021] [Accepted: 11/22/2021] [Indexed: 12/24/2022] Open
Abstract
PURPOSE Family cancer history is an important component of genetic testing guidelines that estimate which patients with breast cancer are most likely to carry a germline pathogenic variant (PV). However, we do not know whether more extensive family history is differentially associated with PVs in specific genes. METHODS All women diagnosed with breast cancer in 2013-2017 and reported to statewide SEER registries of Georgia and California were linked to clinical genetic testing results and family history from two laboratories. Family history was defined as strong (suggestive of PVs in high-penetrance genes such as BRCA1/2 or TP53, including male breast, ovarian, pancreatic, sarcoma, or multiple female breast cancers), moderate (any other cancer history), or none. Among established breast cancer susceptibility genes (ATM, BARD1, BRCA1, BRCA2, CDH1, CHEK2, NF1, PALB2, PTEN, RAD51C, RAD51D, and TP53), we evaluated PV prevalence according to family history extent and breast cancer subtype. We used a multivariable model to test for interaction between affected gene and family history extent for ATM, BRCA1/2, CHEK2, and PALB2. RESULTS A total of 34,865 women linked to genetic results. Higher PV prevalence with increasing family history extent (P < .001) was observed only with BRCA1 (3.04% with none, 3.22% with moderate, and 4.06% with strong history) and in triple-negative breast cancer with PALB2 (0.75% with none, 2.23% with moderate, and 2.63% with strong history). In a multivariable model adjusted for age and subtype, there was no interaction between family history extent and PV prevalence for any gene except PALB2 (P = .037). CONCLUSION Extent of family cancer history is not differentially associated with PVs across established breast cancer susceptibility genes and cannot be used to personalize genes selected for testing.
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Affiliation(s)
- Allison W. Kurian
- Departments of Medicine and of Epidemiology & Population Health, Stanford University, Stanford, CA,Allison W. Kurian, MD, MSc, Department of Medicine and of Epidemiology & Population Health, Stanford University School of Medicine, HRP Redwood Building, Room T254A, 150 Governor's Lane, Stanford, CA 94305; e-mail:
| | - Paul Abrahamse
- Department of Health Management and Policy, School of Public Health, University of Michigan, Ann Arbor, MI,Department of Biostatistics, University of Michigan, Ann Arbor, MI
| | - Kevin C. Ward
- Department of Epidemiology, Rollins School of Public Health, Emory University, Atlanta, GA
| | - Ann S. Hamilton
- Department of Preventive Medicine in the Keck School of Medicine, University of Southern California, Los Angeles, CA
| | - Dennis Deapen
- Department of Preventive Medicine in the Keck School of Medicine, University of Southern California, Los Angeles, CA
| | - Jonathan S. Berek
- Division of Gynecologic Oncology, Department of Obstetrics and Gynecology, and Stanford Women's Cancer Center, Stanford University, Stanford, CA
| | | | | | | | | | | | - Timothy P. Hofer
- Department of Internal Medicine, University of Michigan and Center for Clinical Management Research, Veterans Affairs Ann Arbor Healthcare System, Ann Arbor, MI
| | - Steven J. Katz
- Department of Internal Medicine, University of Michigan and Center for Clinical Management Research, Veterans Affairs Ann Arbor Healthcare System, Ann Arbor, MI
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Roberts B, Tarpey T, Zoghby N, Slavin T. Beyond descriptive statistics: using additional analyses to determine the technological feasibility of meeting a new exposure limit. J Occup Environ Hyg 2021; 18:446-460. [PMID: 34388055 DOI: 10.1080/15459624.2021.1949460] [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] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 06/13/2023]
Abstract
In determining whether a new permissible exposure limit is technologically feasible, the Occupational Safety and Health Administration (OSHA) and various courts have used poorly defined criteria such as whether "most employers most of the time" are able to comply with a standard. This vague definition creates problems when employers try to determine the best way to protect their workers and estimate the costs to remain in compliance with the permissible exposure limit. This article proposes a more rigorous approach to determine feasibility. By utilizing the best available statistical methods, employers and rule makers can better understand the variability within existing exposure data to determine the feasibility of new exposure limits. There are several readily available statistical tools that can be used for this purpose. To illustrate these techniques, a subset of data from the foundry industry and analysis from the OSHA respirable crystalline silica rulemaking proceeding are compared to methods published by the National Institute for Occupational Safety and Health in 1977 and a more sophisticated Bayesian approach. The results of this analysis suggest that complying with a new permissible exposure limit is more challenging than what is implied by OSHA's analysis, and calls into question its method of determining compliance. In the same vein, OSHA should move away from assessing compliance based on individual measurements and instead use a statistical approach to determine if a workplace is in compliance. These changes will encourage employers to better characterize occupational exposures, and will ultimately lead to better protection for employees while also providing employers protection from violations due to one-off overexposures.
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Hall MJ, Rosenthal E, Roman SS, Bernhisel R, Kidd J, Hughes E, Slavin T, Kurian A. Abstract PD10-03: Triple-negative breast cancer (TNBC) risk with pathogenic variants (PV) in hereditary cancer predisposition genes. Cancer Res 2021. [DOI: 10.1158/1538-7445.sabcs20-pd10-03] [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
BACKGROUND: TNBC is among the most aggressive subtypes of invasive breast cancer (BC), and accounts for approximately 10-15% of incidental BC diagnoses. TNBC is associated with early age of onset (median age of diagnosis <50) and disproportionately affects African American women. Breast MRI is currently recommended to screen for BC in women with at least a moderate-to-high lifetime risk of BC (a 2-fold or higher increased risk), and may also be superior to mammogram to screen for TNBC. TNBC has been most closely associated with germline PVs in BRCA1. However, recent studies have suggested that PVs in other genes previously associated with invasive BC may specifically confer high risks of the TNBC subtype. METHODS: Results were analyzed from 627,219 women undergoing clinical multi-gene panel testing at a single US-based commercial laboratory between 5/2013 and 2/2020, including genes associated with hereditary BC and other cancers. Demographic and personal/family history data were collected on a test requisition form. Individuals who had single- or founder-site testing, or prior BRCA1 or BRCA2 testing, were excluded. Multivariable regression analysis was used to examine the association between PVs/suspected PVs and personal history (PHx) of TNBC. Models were adjusted for age, personal/family cancer history, and ancestry. Odds ratios (OR) with 95% confidence intervals (CI) excluding 1.0 were considered significant. RESULTS: In total, 22.4% (140,467/627,219) of women tested reported PHx of BC, of whom 12.8% (17,951/140,467) reported PHx of TNBC. Elevated risks of TNBC were identified in carriers of PVs in 10 genes (see Table). While the highest TNBC risk was associated with PVs in BRCA1 (OR 21.24, 95% CI 19.71-22.88), high risks were also seen for BARD1 (OR 7.05, 95% CI 5.71-8.71), TP53 (OR 5.64, 95% CI 3.08-10.33), PTEN (OR 5.52, 95% CI 2.35-13.00) and PALB2 (OR 5.27, 95% CI 4.55-6.10). Moderate-to-high risks (2-5-fold increased risk) of TNBC were also seen for carriers of PVs in RAD51C, RAD51D, BRCA2, and CDKN2A/P16. By contrast, PVs in NBN, ATM, and CHEK2 were all associated with an apparent decreased risk of TNBC. CONCLUSIONS: PVs in several hereditary cancer genes routinely tested on multi-gene panel tests are associated with high risks (OR>5.0) and moderate-to-high risks (OR 2.0-5.0) of TNBC. These findings can inform practice guidelines about which genes to test when evaluating breast cancer risk and which PV carriers may benefit from intensive breast screening with magnetic resonance imaging (MRI).
Odds ratios for TNBC in germline carriers of PV in hereditary cancer risk genesRisk GenePV Positive with TNBCOR95% CIp-valueHigh RiskBRCA1119321.2419.71-22.88<0.001BARD11257.055.71-8.71<0.001TP53125.643.08-10.33<0.001PTEN65.522.35-13.00<0.001PALB22315.274.55-6.10<0.001Moderate-to-High RiskRAD51C864.923.86-6.26<0.001RAD51D454.643.34-6.45<0.001BRCA24884.434.02-4.89<0.001CDKN2A (p16)172.521.52-4.18<0.001Moderate-to-Low RiskBRIP1771.921.51-2.44<0.001Protective EffectNBN140.550.32-0.940.030ATM400.510.37-0.70<0.001CHEK2490.440.33-0.58<0.001HOXB1350.330.14-0.810.015
Citation Format: Michael J Hall, Eric Rosenthal, Susana San Roman, Ryan Bernhisel, John Kidd, Elisha Hughes, Thomas Slavin, Allison Kurian. Triple-negative breast cancer (TNBC) risk with pathogenic variants (PV) in hereditary cancer predisposition genes [abstract]. In: Proceedings of the 2020 San Antonio Breast Cancer Virtual Symposium; 2020 Dec 8-11; San Antonio, TX. Philadelphia (PA): AACR; Cancer Res 2021;81(4 Suppl):Abstract nr PD10-03.
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Affiliation(s)
| | | | | | | | - John Kidd
- 2Myriad Genetics, Inc., Salt Lake City, UT
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10
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Yang X, Leslie G, Doroszuk A, Schneider S, Allen J, Decker B, Dunning AM, Redman J, Scarth J, Plaskocinska I, Luccarini C, Shah M, Pooley K, Dorling L, Lee A, Adank MA, Adlard J, Aittomäki K, Andrulis IL, Ang P, Barwell J, Bernstein JL, Bobolis K, Borg Å, Blomqvist C, Claes KB, Concannon P, Cuggia A, Culver JO, Damiola F, de Pauw A, Diez O, Dolinsky JS, Domchek SM, Engel C, Evans DG, Fostira F, Garber J, Golmard L, Goode EL, Gruber SB, Hahnen E, Hake C, Heikkinen T, Hurley JE, Janavicius R, Kleibl Z, Kleiblova P, Konstantopoulou I, Kvist A, Laduca H, Lee AS, Lesueur F, Maher ER, Mannermaa A, Manoukian S, McFarland R, McKinnon W, Meindl A, Metcalfe K, Mohd Taib NA, Moilanen J, Nathanson KL, Neuhausen S, Ng PS, Nguyen-Dumont T, Nielsen SM, Obermair F, Offit K, Olopade OI, Ottini L, Penkert J, Pylkäs K, Radice P, Ramus SJ, Rudaitis V, Side L, Silva-Smith R, Silvestri V, Skytte AB, Slavin T, Soukupova J, Tondini C, Trainer AH, Unzeitig G, Usha L, van Overeem Hansen T, Whitworth J, Wood M, Yip CH, Yoon SY, Yussuf A, Zogopoulos G, Goldgar D, Hopper JL, Chenevix-Trench G, Pharoah P, George SH, Balmaña J, Houdayer C, James P, El-Haffaf Z, Ehrencrona H, Janatova M, Peterlongo P, Nevanlinna H, Schmutzler R, Teo SH, Robson M, Pal T, Couch F, Weitzel JN, Elliott A, Southey M, Winqvist R, Easton DF, Foulkes WD, Antoniou AC, Tischkowitz M. Cancer Risks Associated With Germline PALB2 Pathogenic Variants: An International Study of 524 Families. J Clin Oncol 2020; 38:674-685. [PMID: 31841383 PMCID: PMC7049229 DOI: 10.1200/jco.19.01907] [Citation(s) in RCA: 221] [Impact Index Per Article: 55.3] [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] [Accepted: 11/19/2019] [Indexed: 12/30/2022] Open
Abstract
PURPOSE To estimate age-specific relative and absolute cancer risks of breast cancer and to estimate risks of ovarian, pancreatic, male breast, prostate, and colorectal cancers associated with germline PALB2 pathogenic variants (PVs) because these risks have not been extensively characterized. METHODS We analyzed data from 524 families with PALB2 PVs from 21 countries. Complex segregation analysis was used to estimate relative risks (RRs; relative to country-specific population incidences) and absolute risks of cancers. The models allowed for residual familial aggregation of breast and ovarian cancer and were adjusted for the family-specific ascertainment schemes. RESULTS We found associations between PALB2 PVs and risk of female breast cancer (RR, 7.18; 95% CI, 5.82 to 8.85; P = 6.5 × 10-76), ovarian cancer (RR, 2.91; 95% CI, 1.40 to 6.04; P = 4.1 × 10-3), pancreatic cancer (RR, 2.37; 95% CI, 1.24 to 4.50; P = 8.7 × 10-3), and male breast cancer (RR, 7.34; 95% CI, 1.28 to 42.18; P = 2.6 × 10-2). There was no evidence for increased risks of prostate or colorectal cancer. The breast cancer RRs declined with age (P for trend = 2.0 × 10-3). After adjusting for family ascertainment, breast cancer risk estimates on the basis of multiple case families were similar to the estimates from families ascertained through population-based studies (P for difference = .41). On the basis of the combined data, the estimated risks to age 80 years were 53% (95% CI, 44% to 63%) for female breast cancer, 5% (95% CI, 2% to 10%) for ovarian cancer, 2%-3% (95% CI females, 1% to 4%; 95% CI males, 2% to 5%) for pancreatic cancer, and 1% (95% CI, 0.2% to 5%) for male breast cancer. CONCLUSION These results confirm PALB2 as a major breast cancer susceptibility gene and establish substantial associations between germline PALB2 PVs and ovarian, pancreatic, and male breast cancers. These findings will facilitate incorporation of PALB2 into risk prediction models and optimize the clinical cancer risk management of PALB2 PV carriers.
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Affiliation(s)
- Xin Yang
- Centre for Cancer Genetic Epidemiology, Department of Public Health and Primary Care, University of Cambridge, Cambridge, United Kingdom
| | - Goska Leslie
- Centre for Cancer Genetic Epidemiology, Department of Public Health and Primary Care, University of Cambridge, Cambridge, United Kingdom
| | - Alicja Doroszuk
- Department of Medical Genetics, NIHR Cambridge Biomedical Research Centre, and Cancer Research UK Cambridge Centre, University of Cambridge, Cambridge, United Kingdom
| | - Sandra Schneider
- Department of Medical Genetics, NIHR Cambridge Biomedical Research Centre, and Cancer Research UK Cambridge Centre, University of Cambridge, Cambridge, United Kingdom
| | - Jamie Allen
- Centre for Cancer Genetic Epidemiology, Department of Public Health and Primary Care, University of Cambridge, Cambridge, United Kingdom
| | - Brennan Decker
- Centre for Cancer Genetic Epidemiology, Department of Public Health and Primary Care, University of Cambridge, Cambridge, United Kingdom
- Cancer Genetics Branch, National Human Genome Research Institute, National Institutes of Health, Bethesda, MD
- Department of Pathology, Brigham and Women’s Hospital, Boston, MA
| | - Alison M. Dunning
- Centre for Cancer Genetic Epidemiology, Department of Oncology,University of Cambridge, Cambridge, United Kingdom
| | - James Redman
- Department of Medical Genetics, NIHR Cambridge Biomedical Research Centre, and Cancer Research UK Cambridge Centre, University of Cambridge, Cambridge, United Kingdom
| | - James Scarth
- Department of Medical Genetics, NIHR Cambridge Biomedical Research Centre, and Cancer Research UK Cambridge Centre, University of Cambridge, Cambridge, United Kingdom
| | - Inga Plaskocinska
- Department of Medical Genetics, NIHR Cambridge Biomedical Research Centre, and Cancer Research UK Cambridge Centre, University of Cambridge, Cambridge, United Kingdom
| | - Craig Luccarini
- Centre for Cancer Genetic Epidemiology, Department of Oncology,University of Cambridge, Cambridge, United Kingdom
| | - Mitul Shah
- Centre for Cancer Genetic Epidemiology, Department of Oncology,University of Cambridge, Cambridge, United Kingdom
| | - Karen Pooley
- Centre for Cancer Genetic Epidemiology, Department of Public Health and Primary Care, University of Cambridge, Cambridge, United Kingdom
| | - Leila Dorling
- Centre for Cancer Genetic Epidemiology, Department of Public Health and Primary Care, University of Cambridge, Cambridge, United Kingdom
| | - Andrew Lee
- Centre for Cancer Genetic Epidemiology, Department of Public Health and Primary Care, University of Cambridge, Cambridge, United Kingdom
| | - Muriel A. Adank
- Family Cancer Clinic, The Netherlands Cancer Institute–Antoni van Leeuwenhoek Hospital, Amsterdam, the Netherlands
| | - Julian Adlard
- Yorkshire Regional Genetics Service, Chapel Allerton Hospital, Leeds, United Kingdom
| | - Kristiina Aittomäki
- Department of Clinical Genetics, Helsinki University Hospital, University of Helsinki, Helsinki, Finland
| | - Irene L. Andrulis
- Lunenfeld-Tanenbaum Research Institute of Mount Sinai Hospital, Toronto, Ontario, Canada
| | - Peter Ang
- Laboratory of Molecular Oncology, Division of Cellular and Molecular Research, National Cancer Centre Singapore, Singapore
| | - Julian Barwell
- Leicestershire Clinical Genetics Service, University Hospitals of Leicester NHS Trust, Leicester, United Kingdom
| | - Jonine L. Bernstein
- Department of Epidemiology and Biostatistics, Memorial Sloan Kettering Cancer Center, New York, NY
| | - Kristie Bobolis
- Clinical Cancer Genomics Community Research Network, City of Hope, Duarte, CA
| | - Åke Borg
- Division of Oncology and Pathology, Department of Clinical Sciences Lund, Lund University, Lund, Sweden
| | - Carl Blomqvist
- Department of Oncology, Helsinki University Hospital, University of Helsinki, Helsinki, Finland
| | | | - Patrick Concannon
- University of Florida Genetics Institute, University of Florida, Gainesville, FL
| | - Adeline Cuggia
- The Research Institute of the McGill University Health Centre, McGill University, Montreal, Quebec, Canada
- The Goodman Cancer Research Centre, McGill University, Montreal, Quebec, Canada
| | - Julie O. Culver
- Keck School of Medicine, University of Southern California Norris Comprehensive Cancer Center, Los Angeles, CA
| | | | | | - Orland Diez
- Oncogenetics Group, Clinical and Molecular Genetics Area, Vall d’Hebron Institute of Oncology (VHIO), University Hospital, Vall d’Hebron, Barcelona, Spain
| | | | - Susan M. Domchek
- Department ofMedicine, Abramson Cancer Center, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA
- Prospective Registry of Multiplex Testing (PROMPT), United States and Europe
| | - Christoph Engel
- Institute for Medical Informatics, Statistics and Epidemiology, University of Leipzig, Leipzig, Germany
| | - D. Gareth Evans
- Division of Evolution and Genomic Sciences, University of Manchester; Manchester Centre for Genomic Medicine, St Mary’s Hospital–Manchester University Hospitals NHS Foundation Trust; and Manchester Academic Health Science Centre, Manchester, United Kingdom
| | - Florentia Fostira
- Molecular Diagnostics Laboratory, INRASTES, National Centre for Scientific Research “Demokritos,” Athens, Greece
| | - Judy Garber
- Prospective Registry of Multiplex Testing (PROMPT), United States and Europe
- Dana-Farber Cancer Institute, Boston, MA
| | - Lisa Golmard
- Service de Génétique, Institut Curie, Paris, France
| | - Ellen L. Goode
- Department of Health Sciences Research, Mayo Clinic, Rochester, MN
| | | | - Eric Hahnen
- Center for Molecular Medicine Cologne (CMMC), University of Cologne, Cologne, Germany
- Center for Hereditary Breast and Ovarian Cancer, University Hospital of Cologne, Cologne, Germany
| | - Christopher Hake
- Clinical Cancer Genomics Community Research Network, City of Hope, Duarte, CA
| | - Tuomas Heikkinen
- Department of Obstetrics and Gynecology, Helsinki University Hospital, University of Helsinki, Helsinki, Finland
| | - Judith E. Hurley
- Division of Medical Oncology, Sylvester Comprehensive Cancer Center, University of Miami Miller School of Medicine, Miami, FL
| | - Ramunas Janavicius
- Hematology, Oncology and Transfusion Medicine Center, Department of Molecular and Regenerative Medicine, Vilnius University Hospital Santariskiu Clinics, Vilnius, Lithuania
- State Research Institute Innovative Medicine Center, Vilnius, Lithuania
| | - Zdenek Kleibl
- Institute of Biochemistry and Experimental Oncology, First Faculty of Medicine, Charles University and General University Hospital in Prague, Prague, Czech Republic
| | - Petra Kleiblova
- Institute of Biochemistry and Experimental Oncology, First Faculty of Medicine, Charles University and General University Hospital in Prague, Prague, Czech Republic
- Institute of Biology and Medical Genetics, First Faculty of Medicine, Charles University, Prague, Czech Republic
| | - Irene Konstantopoulou
- Molecular Diagnostics Laboratory, INRASTES, National Centre for Scientific Research “Demokritos,” Athens, Greece
| | - Anders Kvist
- Division of Oncology and Pathology, Department of Clinical Sciences Lund, Lund University, Lund, Sweden
| | | | - Ann S.G. Lee
- Leicestershire Clinical Genetics Service, University Hospitals of Leicester NHS Trust, Leicester, United Kingdom
- Department of Physiology, Yong Loo Lin School of Medicine, National University of Singapore, Singapore
- SingHealth Duke-NUS Oncology Academic Clinical Programme (ONCO ACP), Duke-NUS Medical School, Singapore
| | - Fabienne Lesueur
- INSERM U900, Institut Curie, PSL University, Mines ParisTech, Paris, France
| | - Eamonn R. Maher
- Department of Medical Genetics, NIHR Cambridge Biomedical Research Centre, and Cancer Research UK Cambridge Centre, University of Cambridge, Cambridge, United Kingdom
| | - Arto Mannermaa
- Institute of Clinical Medicine, Pathology and Forensic Medicine, University of Eastern Finland, Kuopio, Finland
| | - Siranoush Manoukian
- Unit of Medical Genetics, Department of Medical Oncology and Hematology, Fondazione IRCCS Istituto Nazionale dei Tumori, Milan, Italy
| | - Rachel McFarland
- Ambry Genetics, Aliso Viejo, CA
- Department of Epidemiology, University of California, Irvine, Irvine, CA
| | - Wendy McKinnon
- Familial Cancer Program, The University of Vermont Cancer Center, Burlington, VT
| | - Alfons Meindl
- Department of Gynecology and Obstetrics, Ludwig-Maximilians University of Munich, Munich, Germany
| | - Kelly Metcalfe
- Lawrence S. Bloomberg Faculty of Nursing, University of Toronto, Toronto, Ontario, Canada
| | - Nur Aishah Mohd Taib
- University Malaya Cancer Research Institute, Faculty of Medicine, University Malaya, Kuala Lumpur, Malaysia
| | - Jukka Moilanen
- Department of Clinical Genetics, Oulu University Hospital, Medical Research Center Oulu and PEDEGO Research Unit, University of Oulu, Oulu, Finland
| | - Katherine L. Nathanson
- Department ofMedicine, Abramson Cancer Center, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA
| | - Susan Neuhausen
- Department of Population Sciences, Beckman Research Institute, City of Hope, Duarte, CA
| | - Pei Sze Ng
- University Malaya Cancer Research Institute, Faculty of Medicine, University Malaya, Kuala Lumpur, Malaysia
- Cancer Research Malaysia, Subang Jaya Selangor, Malaysia
| | - Tu Nguyen-Dumont
- Department of Clinical Pathology, The University of Melbourne, Melbourne, Victoria, Australia
- Precision Medicine, School of Clinical Sciences at Monash Health, Monash University, Clayton, Victoria, Australia
| | - Sarah M. Nielsen
- Center for Clinical Cancer Genetics, The University of Chicago, Chicago, IL
| | - Florian Obermair
- Institute of Medical Genetics, Kepler University Hospital Linz and Laboratory for Molecular Biology and Tumor Cytogenetics, Ordensklinikum Linz, Linz, Austria
| | - Kenneth Offit
- Prospective Registry of Multiplex Testing (PROMPT), United States and Europe
- Clinical Genetics Service, Department of Medicine, Memorial Sloan Kettering Cancer Center, New York, NY
| | | | - Laura Ottini
- Department of Molecular Medicine, University La Sapienza, Rome, Italy
| | - Judith Penkert
- Department of Human Genetics, Hannover Medical School, Hannover, Germany
| | - Katri Pylkäs
- Laboratory of Cancer Genetics and Tumor Biology, Cancer and Translational Medicine Research Unit, Biocenter Oulu, University of Oulu, and Northern Finland Laboratory Centre, Oulu, Finland
| | - Paolo Radice
- Unit of Molecular Basis of Genetic Risk and Genetic Testing, Department of Research, Fondazione IRCCS Istituto Nazionale dei Tumori, Milan, Italy
| | - Susan J. Ramus
- School of Women’s and Children’s Health, Faculty of Medicine, University of New South Wales Sydney, Sydney, New South Wales, Australia
- The Kinghorn Cancer Centre, Garvan Institute of Medical Research, Sydney, New South Wales, Australia
| | - Vilius Rudaitis
- Hematology, Oncology and Transfusion Medicine Center, Department of Molecular and Regenerative Medicine, Vilnius University Hospital Santariskiu Clinics, Vilnius, Lithuania
| | - Lucy Side
- Wessex Clinical Genetics Service, Princess Anne Hospital, Southampton, United Kingdom
| | - Rachel Silva-Smith
- Department of Genetics, University of MiamiMiller School of Medicine, Miami, FL
| | | | - Anne-Bine Skytte
- Department of Clinical Genetics, Aarhus University Hospital, Aarhus, Denmark
| | - Thomas Slavin
- Clinical Cancer Genomics Community Research Network, City of Hope, Duarte, CA
- Department of Medical Oncology, Division of Clinical Cancer Genomics, City of Hope, Duarte, CA
| | - Jana Soukupova
- Institute of Biochemistry and Experimental Oncology, First Faculty of Medicine, Charles University and General University Hospital in Prague, Prague, Czech Republic
| | - Carlo Tondini
- Unit of Medical Oncology, Department of Oncology and Hematology,Papa Giovanni XXIII Hospital, Bergamo, Italy
| | - Alison H. Trainer
- Sir Peter MacCallum Department of Oncology, The University of Melbourne, Melbourne, Victoria, Australia
- Parkville Familial Cancer Centre, Peter MacCallum Cancer Center, Melbourne, Victoria, Australia
| | - Gary Unzeitig
- Clinical Cancer Genomics Community Research Network, City of Hope, Duarte, CA
| | - Lydia Usha
- Clinical Cancer Genomics Community Research Network, City of Hope, Duarte, CA
| | - Thomas van Overeem Hansen
- Department of Clinical Genetics, Rigshospitalet, Copenhagen University Hospital, Copenhagen, Denmark
- Center for Genomic Medicine, Rigshospitalet, Copenhagen University Hospital, Copenhagen, Denmark
| | - James Whitworth
- Department of Medical Genetics, NIHR Cambridge Biomedical Research Centre, and Cancer Research UK Cambridge Centre, University of Cambridge, Cambridge, United Kingdom
| | - Marie Wood
- Familial Cancer Program, The University of Vermont Cancer Center, Burlington, VT
| | - Cheng Har Yip
- Cancer Research Malaysia, Subang Jaya Selangor, Malaysia
| | - Sook-Yee Yoon
- Cancer Research Malaysia, Subang Jaya Selangor, Malaysia
| | | | - George Zogopoulos
- The Research Institute of the McGill University Health Centre, McGill University, Montreal, Quebec, Canada
- The Goodman Cancer Research Centre, McGill University, Montreal, Quebec, Canada
| | - David Goldgar
- Huntsman Cancer Institute, Department of Population Health Sciences, University of Utah, Salt Lake City, UT
| | - John L. Hopper
- Centre for Epidemiology and Biostatistics, Melbourne School of Population and Global Health, The University of Melbourne, Melbourne, Victoria, Australia
| | - Georgia Chenevix-Trench
- Department of Genetics and Computational Biology, QIMR Berghofer Medical Research Institute, Brisbane, Queensland, Australia
| | - Paul Pharoah
- Centre for Cancer Genetic Epidemiology, Department of Public Health and Primary Care, University of Cambridge, Cambridge, United Kingdom
| | - Sophia H.L. George
- Department of Obstetrics, Gynecology and Reproductive Sciences, Division of Gynecologic Oncology, Sylvester Comprehensive Cancer Center, University of Miami Miller School of Medicine, Miami, FL
| | - Judith Balmaña
- Oncogenetics Group, Clinical and Molecular Genetics Area, Vall d’Hebron Institute of Oncology (VHIO), University Hospital, Vall d’Hebron, Barcelona, Spain
- Prospective Registry of Multiplex Testing (PROMPT), United States and Europe
| | - Claude Houdayer
- Service de Génétique, Institut Curie, Paris, France
- Genetics Department, F76000 and Normandy University, UNIROUEN, INSERM U1245, Normandy Centre for Genomic and Personalized Medicine, Rouen University Hospital, Rouen, France
| | - Paul James
- Sir Peter MacCallum Department of Oncology, The University of Melbourne, Melbourne, Victoria, Australia
- Parkville Familial Cancer Centre, Peter MacCallum Cancer Center, Melbourne, Victoria, Australia
| | - Zaki El-Haffaf
- Department of Genetics, Centre Hospitalier de l’Université de Montréal, Montreal, Quebec, Canada
| | - Hans Ehrencrona
- Department of Clinical Genetics and Pathology, Department of Laboratory Medicine, Office for Medical Services, Lund, Sweden
- Division of Clinical Genetics, Department of Laboratory Medicine, Lund University, Lund, Sweden
| | - Marketa Janatova
- Institute of Biochemistry and Experimental Oncology, First Faculty of Medicine, Charles University and General University Hospital in Prague, Prague, Czech Republic
| | - Paolo Peterlongo
- Genome Diagnostics Program, IFOM–The FIRC Institute for Molecular Oncology, Milan, Italy
| | - Heli Nevanlinna
- Department of Obstetrics and Gynecology, Helsinki University Hospital, University of Helsinki, Helsinki, Finland
| | - Rita Schmutzler
- Center for Molecular Medicine Cologne (CMMC), University of Cologne, Cologne, Germany
- Center for Hereditary Breast and Ovarian Cancer, University Hospital of Cologne, Cologne, Germany
| | - Soo-Hwang Teo
- University Malaya Cancer Research Institute, Faculty of Medicine, University Malaya, Kuala Lumpur, Malaysia
- Cancer Research Malaysia, Subang Jaya Selangor, Malaysia
| | - Mark Robson
- Prospective Registry of Multiplex Testing (PROMPT), United States and Europe
- Breast Service, Department of Medicine, Memorial Sloan Kettering Cancer Center, New York, NY
| | - Tuya Pal
- Vanderbilt-Ingram Cancer Center, Division of Genetic Medicine, Department of Medicine, Vanderbilt University Medical Center, Nashville, TN
| | - Fergus Couch
- Prospective Registry of Multiplex Testing (PROMPT), United States and Europe
- Department of Laboratory Medicine and Pathology, Mayo Clinic, Rochester, MN
| | - Jeffrey N. Weitzel
- Clinical Cancer Genomics Community Research Network, City of Hope, Duarte, CA
- Department of Medical Oncology, Division of Clinical Cancer Genomics, City of Hope, Duarte, CA
| | | | - Melissa Southey
- Department of Clinical Pathology, The University of Melbourne, Melbourne, Victoria, Australia
- Precision Medicine, School of Clinical Sciences at Monash Health, Monash University, Clayton, Victoria, Australia
| | - Robert Winqvist
- Laboratory of Cancer Genetics and Tumor Biology, Cancer and Translational Medicine Research Unit, Biocenter Oulu, University of Oulu, and Northern Finland Laboratory Centre, Oulu, Finland
| | - Douglas F. Easton
- Centre for Cancer Genetic Epidemiology, Department of Public Health and Primary Care, University of Cambridge, Cambridge, United Kingdom
| | - William D. Foulkes
- The Research Institute of the McGill University Health Centre, McGill University, Montreal, Quebec, Canada
- Departments of Human Genetics, Oncology, and Medicine, McGill University, Montreal, Quebec, Canada
| | - Antonis C. Antoniou
- Centre for Cancer Genetic Epidemiology, Department of Public Health and Primary Care, University of Cambridge, Cambridge, United Kingdom
| | - Marc Tischkowitz
- Department of Medical Genetics, NIHR Cambridge Biomedical Research Centre, and Cancer Research UK Cambridge Centre, University of Cambridge, Cambridge, United Kingdom
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Weitzel JN, Neuhausen SL, Adamson A, Tao S, Ricker C, Maoz A, Rosenblatt M, Nehoray B, Sand S, Steele L, Unzeitig G, Feldman N, Blanco AM, Hu D, Huntsman S, Castillo D, Haiman C, Slavin T, Ziv E. Pathogenic and likely pathogenic variants in PALB2, CHEK2, and other known breast cancer susceptibility genes among 1054 BRCA-negative Hispanics with breast cancer. Cancer 2019; 125:2829-2836. [PMID: 31206626 DOI: 10.1002/cncr.32083] [Citation(s) in RCA: 35] [Impact Index Per Article: 7.0] [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: 09/21/2018] [Revised: 12/12/2018] [Accepted: 01/03/2019] [Indexed: 12/13/2022]
Abstract
BACKGROUND Breast cancer (BC) is the most common cancer and related cause of mortality among Hispanics, yet susceptibility has been understudied. BRCA1 and BRCA2 (BRCA) mutations explain less than one-half of hereditary BC, and the proportion associated with other BC susceptibility genes is unknown. METHODS Germline DNA from 1054 BRCA-mutation-negative Hispanic women with hereditary BC (BC diagnosed at age <51 years, bilateral BC, breast and ovarian cancer, or BC diagnosed at ages 51-70 years with ≥2 first-degree or second-degree relatives who had BC diagnosed at age <70 years), 312 local controls, and 887 multiethnic cohort controls was sequenced and analyzed for 12 known and suspected, high-penetrance and moderate-penetrance cancer susceptibility genes (ataxia telangiectasia mutated [ATM], breast cancer 1 interacting protein C-terminal helicase 1 [BRIP1], cadherin 1 [CDH1], checkpoint kinase 2 [CHEK2], nibrin [NBN], neurofibromatosis type 1 [NF1], partner and localizer of BRCA2 [PALB2], phosphatase and tensin homolog [PTEN], RAD51 paralog 3 [RAD51C], RAD51D, serine/threonine kinase 11 [STK11], and TP53). RESULTS Forty-nine (4.6%) pathogenic or likely pathogenic variants (PVs) in 47 of 1054 participants (4.5%), including 21 truncating frameshift, 20 missense, 5 nonsense, and 4 splice variants, were identified in CHEK2 (n = 20), PALB2 (n = 18), ATM (n = 5), TP53 (n = 3), BRIP1 (n = 2), and CDH1 and NF1 (both n = 1) and none were identified in NBN, PTEN, STK11, RAD51C, or RAD51D. Nine participants carried the PALB2 c.2167_2168del PV (0.85%), and 14 carried the CHEK2 c.707T>C PV (1.32%). CONCLUSIONS Of 1054 BRCA-negative, high-risk Hispanic women, 4.5% carried a PV in a cancer susceptibility gene, increasing understanding of hereditary BC in this population. Recurrent PVs in PALB2 and CHEK2 represented 47% (23 of 49) of the total, suggesting a founder effect. Accurate classification of variants was enabled by carefully controlling for ancestry and the increased identification of at-risk Hispanics for screening and prevention.
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Affiliation(s)
- Jeffrey N Weitzel
- Division of Clinical Cancer Genomics, City of Hope, Duarte, California.,Clinical Cancer Genomics Community Research Network, Los Angeles, California
| | - Susan L Neuhausen
- Division of Biomarkers of Early Detection and Prevention, City of Hope, Duarte, California
| | - Aaron Adamson
- Division of Biomarkers of Early Detection and Prevention, City of Hope, Duarte, California
| | - Shu Tao
- Integrative Genomics Core, City of Hope, Duarte, California
| | - Charité Ricker
- Clinical Cancer Genomics Community Research Network, Los Angeles, California.,University of Southern California Norris Comprehensive Cancer Center, Los Angeles, California
| | - Asaf Maoz
- University of Southern California Norris Comprehensive Cancer Center, Los Angeles, California
| | - Margalit Rosenblatt
- University of California at San Francisco Helen Diller Family Comprehensive Cancer Center, San Francisco, California
| | - Bita Nehoray
- Division of Clinical Cancer Genomics, City of Hope, Duarte, California.,Clinical Cancer Genomics Community Research Network, Los Angeles, California
| | - Sharon Sand
- Division of Clinical Cancer Genomics, City of Hope, Duarte, California.,Clinical Cancer Genomics Community Research Network, Los Angeles, California
| | - Linda Steele
- Division of Biomarkers of Early Detection and Prevention, City of Hope, Duarte, California
| | - Gary Unzeitig
- Clinical Cancer Genomics Community Research Network, Los Angeles, California.,Gary Unzeitig MD Office, Laredo, Texas
| | - Nancy Feldman
- Clinical Cancer Genomics Community Research Network, Los Angeles, California
| | - Amie M Blanco
- University of California at San Francisco Helen Diller Family Comprehensive Cancer Center, San Francisco, California
| | - Donglei Hu
- Division of General Internal Medicine, Department of Medicine, University of California at San Francisco, San Francisco, California
| | - Scott Huntsman
- Division of General Internal Medicine, Department of Medicine, University of California at San Francisco, San Francisco, California
| | - Danielle Castillo
- Division of Clinical Cancer Genomics, City of Hope, Duarte, California.,Clinical Cancer Genomics Community Research Network, Los Angeles, California
| | - Christopher Haiman
- Center for Genetic Epidemiology, Department of Preventive Medicine, University of Southern California Keck School of Medicine, Los Angeles, California
| | - Thomas Slavin
- Division of Clinical Cancer Genomics, City of Hope, Duarte, California.,Clinical Cancer Genomics Community Research Network, Los Angeles, California
| | - Elad Ziv
- University of California at San Francisco Helen Diller Family Comprehensive Cancer Center, San Francisco, California.,Division of General Internal Medicine, Department of Medicine, University of California at San Francisco, San Francisco, California.,University of California at San Francisco Institute for Human Genetics, San Francisco, California
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Lee H, Slavin T, Salehian B. SAT-315 SDHC Germline Mutation Carrier with Primary Paraganglioma of the Thyroid Gland. J Endocr Soc 2019. [PMCID: PMC6551757 DOI: 10.1210/js.2019-sat-315] [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] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/19/2022] Open
Abstract
Background
Thyroid paragangliomas(PGLs) are less than 0.1% of all thyroid neoplasms. They represent a subset of inferior laryngeal PGL and can be located adjacent to or inside the gland. About 30% of paragangliomas are genetically determined, and 40% of those are succinate dehydrogenase (SDH) related. SDHD and SDHB are more frequently detected than SDHC and SDHA [1]. To date, thyroid paraganglioma has been reported in SDHA and B germline mutation carriers, but there is no case reported with thyroid paraganglioma related to SDHC and D mutations[2]. Clinical case
A 50 year old female self-detected a nodularity on her neck. Fine needle aspiration biopsy of the nodule was suspicious for thyroid cancer. She had total thyroidectomy followed by radioactive iodine treatment. Five years after treatment, surgical specimen of thyroid slides were reviewed again upon relocation. Surprisingly, distinct pathologic changes of nodule with characteristic nesting pattern (zellaballen) was noted. On immunohistochemistry study, the cells of the lesion were positive for synaptophysin, chromogranin and S-100, and negative for keratin, CEA, thyroglobulin, TTF-1, calcitonin, EMA and Congo red stain. Based on the histologic feature and immunohistochemistry finding, right lobe paraganglioma was diagnosed retrospectively. When she was 67 years old, she developed symptoms of intermittent flushing, diarrhea, dizziness, and nausea. Her chromogranin A increased from 210 ng/mL to 3413 ng/mL in 6 months. Further pertinent laboratory work-up results included but not all: cortisol 15 mcg/dL, ACTH 35.7pg/mL(7.2-63.3 pg/mL), 24 hour urine free cortisol 17mcg (ref. range <= 176 mcg/24hr), dopamine 133pg/mL (0-20pg/mL), norepinephrine 725 pg/mL (80-520 pg/mL), epinephrine 48 pg/mL (10-200 pg/mL), normetanephrine 0.82 nmol/L (0.00-0.89 nmol/L). This was suggestive of functioning paraganglioma. The patient was evaluated by medical genetics, and a heterozygous germline pathologic variant, NM_003001.3(SDHC):c.43C>T (p.Arg15Ter) was identified. Galium-68-Dotatate scan showed a glomus tumor jugulare. Due to the location of the tumor, the patient was referred for radiation therapy (not yet completed). She was started on monthly octreotide injection and symptoms improved. Her chromogranin A decreased to 70 ng/mL ( 0-95 ng/mL) and dopamine reduced to 76 pg/mL( 0-20pg/mL). Conclusion
This is the first case report of a primary paraganglioma of the thyroid gland in an SDHC mutation carrier. The Endocrine Society Clinical Guidelines Subcommittee recommends all patients with PPGLs to be engaged in shared decision making for germline genetic testing. This information can be important for future cancer screening for the patient and family cascade testing and counseling. Reference
1.Hereditary paraganlioma-Pheochromocytoma syndrome, GeneReviews, L Fishbein et al.2.Endocr Relat Cancer. 2015 Apr;22(2):191-204
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Affiliation(s)
- Hyunju Lee
- City of Hope & Harbor UCLA, Duarte & Torrance, CA, United States
| | | | - Behrouz Salehian
- Diabetes, Endocrinology and Metabolism, City Hope & Beckman Res Inst, Duarte, CA, United States
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13
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Kwong A, Shin V, Au CH, Ho C, Slavin T, Weitzel J, Chan TL, Ma E. Abstract P5-09-12: Germline mutation in TP53 gene in a cohort of 2,561 Chinese high-risk breast cancer patients using multigene panel testing. Cancer Res 2019. [DOI: 10.1158/1538-7445.sabcs18-p5-09-12] [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
Background: Li-Fraumeni syndrome (LFS) is a rare autosomal genetic disorder with germline TP53 mutations. Patients with TP53 mutations have a higher risk of developing breast cancer than those harboring BRCA mutations. Although limited studies have shown that TP53 mutation carriers are less responsive to low dose radiation and more susceptible to induce new malignancies from radiotherapy. Moreover screening strategies allows early detection of a spectrum of cancers related to TP53 mutations. From work of BRCA mutations where over 40% novel mutations were detected in Chinese cohort, it is important to evaluate the frequency of TP53 mutation in Chinese to better understand the spectrum to guide appropriate clinical management of these high risk individuals.
Methods: TP53 gene mutation screening was performed on 2,561 high-risk breast cancer patients using multigene panel testing. The patients were accrued by Hong Kong Hereditary and High Risk Breast Cancer Program from March 2007 to May 2018. All detected pathogenic mutations were further validated by bi-directional DNA sequencing and analyzed by our in-house developed bioinformatics pipeline.
Results: Sixteen distinct pathogenic or likely pathogenic variants were identified, and 3 of them were de novo TP53 mutations (18.75%). The mean age of patients who harbored TP53 mutation was 30.44 years (range 18-44), and 50% of the tumors were bilateral breast cancer. Of sixteen different pathogenic mutations, majority of them were missense mutation (87.5%), and 2 were nonsense mutation (12.5%). Four of the sixteen TP53 mutation carriers had family history of breast cancer, while others had a family history of lung cancer (43.75%).
Conclusion: This study revealed that seven patients were found to habor TP53 mutation even when they did not meet the criteria of LFS of LFS-like phenotype, implicated the importance of using multigene panel test for probands and their relatives to offer a comprehensive surveillance programe for TP53 carriers.
Citation Format: Kwong A, Shin V, Au CH, Ho C, Slavin T, Weitzel J, Chan TL, Ma E. Germline mutation in TP53 gene in a cohort of 2,561 Chinese high-risk breast cancer patients using multigene panel testing [abstract]. In: Proceedings of the 2018 San Antonio Breast Cancer Symposium; 2018 Dec 4-8; San Antonio, TX. Philadelphia (PA): AACR; Cancer Res 2019;79(4 Suppl):Abstract nr P5-09-12.
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Affiliation(s)
- A Kwong
- The University of Hong Kong, Pokfulam, Hong Kong; Hong Kong Hereditary Breast Cancer Family Registry, Shau Kei Wan, Hong Kong; Hong Kong Sanatorium & Hospital, Happy Valley, Hong Kong; City of Hope, Duarte, CA
| | - V Shin
- The University of Hong Kong, Pokfulam, Hong Kong; Hong Kong Hereditary Breast Cancer Family Registry, Shau Kei Wan, Hong Kong; Hong Kong Sanatorium & Hospital, Happy Valley, Hong Kong; City of Hope, Duarte, CA
| | - CH Au
- The University of Hong Kong, Pokfulam, Hong Kong; Hong Kong Hereditary Breast Cancer Family Registry, Shau Kei Wan, Hong Kong; Hong Kong Sanatorium & Hospital, Happy Valley, Hong Kong; City of Hope, Duarte, CA
| | - C Ho
- The University of Hong Kong, Pokfulam, Hong Kong; Hong Kong Hereditary Breast Cancer Family Registry, Shau Kei Wan, Hong Kong; Hong Kong Sanatorium & Hospital, Happy Valley, Hong Kong; City of Hope, Duarte, CA
| | - T Slavin
- The University of Hong Kong, Pokfulam, Hong Kong; Hong Kong Hereditary Breast Cancer Family Registry, Shau Kei Wan, Hong Kong; Hong Kong Sanatorium & Hospital, Happy Valley, Hong Kong; City of Hope, Duarte, CA
| | - J Weitzel
- The University of Hong Kong, Pokfulam, Hong Kong; Hong Kong Hereditary Breast Cancer Family Registry, Shau Kei Wan, Hong Kong; Hong Kong Sanatorium & Hospital, Happy Valley, Hong Kong; City of Hope, Duarte, CA
| | - TL Chan
- The University of Hong Kong, Pokfulam, Hong Kong; Hong Kong Hereditary Breast Cancer Family Registry, Shau Kei Wan, Hong Kong; Hong Kong Sanatorium & Hospital, Happy Valley, Hong Kong; City of Hope, Duarte, CA
| | - E Ma
- The University of Hong Kong, Pokfulam, Hong Kong; Hong Kong Hereditary Breast Cancer Family Registry, Shau Kei Wan, Hong Kong; Hong Kong Sanatorium & Hospital, Happy Valley, Hong Kong; City of Hope, Duarte, CA
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Aldoss I, Stiller T, Tsai NC, Song JY, Cao T, Bandara NA, Salhotra A, Khaled S, Aribi A, Al Malki MM, Mei M, Ali H, Spielberger R, O'Donnell M, Snyder D, Slavin T, Nakamura R, Stein AS, Forman SJ, Marcucci G, Pullarkat V. Therapy-related acute lymphoblastic leukemia has distinct clinical and cytogenetic features compared to de novo acute lymphoblastic leukemia, but outcomes are comparable in transplanted patients. Haematologica 2018; 103:1662-1668. [PMID: 29903756 PMCID: PMC6165794 DOI: 10.3324/haematol.2018.193599] [Citation(s) in RCA: 34] [Impact Index Per Article: 5.7] [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: 03/19/2018] [Accepted: 06/08/2018] [Indexed: 01/02/2023] Open
Abstract
Therapy-related acute lymphoblastic leukemia remains poorly defined due to a lack of large data sets recognizing the defining characteristics of this entity. We reviewed all consecutive cases of adult acute lymphoblastic leukemia treated at our institution between 2000 and 2017 and identified therapy-related cases - defined as acute lymphoblastic leukemia preceded by prior exposure to cytotoxic chemotherapy and/or radiation. Of 1022 patients with acute lymphoblastic leukemia, 93 (9.1%) were classified as therapy-related. The median latency for therapy-related acute lymphoblastic leukemia onset was 6.8 years from original diagnosis, and this was shorter for patients carrying the MLL gene rearrangement compared to those with other cytogenetics. When compared to de novo acute lymphoblastic leukemia, therapy-related patients were older (P<0.01), more often female (P<0.01), and had more MLL gene rearrangement (P<0.0001) and chromosomes 5/7 aberrations (P=0.02). Although therapy-related acute lymphoblastic leukemia was associated with inferior 2-year overall survival compared to de novo cases (46.0% vs 68.1%, P=0.001), prior exposure to cytotoxic therapy (therapy-related) did not independently impact survival in multivariate analysis (HR=1.32; 95% CI: 0.97-1.80, P=0.08). There was no survival difference (2-year = 53.4% vs 58.9%, P=0.68) between the two groups in patients who received allogenic hematopoietic cell transplantation. In conclusion, therapy-related acute lymphoblastic leukemia represents a significant proportion of adult acute lymphoblastic leukemia diagnoses, and a subset of cases carry clinical and cytogenetic abnormalities similar to therapy-related myeloid neoplasms. Although survival of therapy-related acute lymphoblastic leukemia was inferior to de novo cases, allogeneic hematopoietic cell transplantation outcomes were comparable for the two entities.
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Affiliation(s)
- Ibrahim Aldoss
- Department of Hematology and Hematopoietic Cell Transplantation, Gehr Family Center for Leukemia Research, City of Hope, Duarte, CA, USA
| | - Tracey Stiller
- Department of Information Sciences, Division of Biostatistics, City of Hope, Duarte, CA, USA
| | - Ni-Chun Tsai
- Department of Information Sciences, Division of Biostatistics, City of Hope, Duarte, CA, USA
| | - Joo Y Song
- Department of Pathology, City of Hope, Duarte, CA, USA
| | - Thai Cao
- Department of Hematology and Hematopoietic Cell Transplantation, Gehr Family Center for Leukemia Research, City of Hope, Duarte, CA, USA.,Kaiser Permanente, Department of BMT, Southern California Medical Group, Los Angeles
| | - N Achini Bandara
- Department of Hematology and Hematopoietic Cell Transplantation, Gehr Family Center for Leukemia Research, City of Hope, Duarte, CA, USA
| | - Amandeep Salhotra
- Department of Hematology and Hematopoietic Cell Transplantation, Gehr Family Center for Leukemia Research, City of Hope, Duarte, CA, USA
| | - Samer Khaled
- Department of Hematology and Hematopoietic Cell Transplantation, Gehr Family Center for Leukemia Research, City of Hope, Duarte, CA, USA
| | - Ahmed Aribi
- Department of Hematology and Hematopoietic Cell Transplantation, Gehr Family Center for Leukemia Research, City of Hope, Duarte, CA, USA
| | - Monzr M Al Malki
- Department of Hematology and Hematopoietic Cell Transplantation, Gehr Family Center for Leukemia Research, City of Hope, Duarte, CA, USA
| | - Matthew Mei
- Department of Hematology and Hematopoietic Cell Transplantation, Gehr Family Center for Leukemia Research, City of Hope, Duarte, CA, USA
| | - Haris Ali
- Department of Hematology and Hematopoietic Cell Transplantation, Gehr Family Center for Leukemia Research, City of Hope, Duarte, CA, USA
| | - Ricardo Spielberger
- Department of Hematology and Hematopoietic Cell Transplantation, Gehr Family Center for Leukemia Research, City of Hope, Duarte, CA, USA.,Kaiser Permanente, Department of BMT, Southern California Medical Group, Los Angeles
| | - Margaret O'Donnell
- Department of Hematology and Hematopoietic Cell Transplantation, Gehr Family Center for Leukemia Research, City of Hope, Duarte, CA, USA
| | - David Snyder
- Department of Hematology and Hematopoietic Cell Transplantation, Gehr Family Center for Leukemia Research, City of Hope, Duarte, CA, USA
| | - Thomas Slavin
- Department of Medical Oncology, Division of Clinical Genetics, City of Hope, Duarte, CA, USA
| | - Ryotaro Nakamura
- Department of Hematology and Hematopoietic Cell Transplantation, Gehr Family Center for Leukemia Research, City of Hope, Duarte, CA, USA
| | - Anthony S Stein
- Department of Hematology and Hematopoietic Cell Transplantation, Gehr Family Center for Leukemia Research, City of Hope, Duarte, CA, USA
| | - Stephen J Forman
- Department of Hematology and Hematopoietic Cell Transplantation, Gehr Family Center for Leukemia Research, City of Hope, Duarte, CA, USA
| | - Guido Marcucci
- Department of Hematology and Hematopoietic Cell Transplantation, Gehr Family Center for Leukemia Research, City of Hope, Duarte, CA, USA
| | - Vinod Pullarkat
- Department of Hematology and Hematopoietic Cell Transplantation, Gehr Family Center for Leukemia Research, City of Hope, Duarte, CA, USA
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Slavin T, Neuhausen SL, Rybak C, Solomon I, Nehoray B, Blazer K, Niell-Swiller M, Adamson AW, Yuan YC, Yang K, Sand S, Castillo D, Herzog J, Wu X, Tao S, Chavez T, Woo Y, Chao J, Mora P, Horcasitas D, Weitzel J. Genetic Gastric Cancer Susceptibility in the International Clinical Cancer Genomics Community Research Network. Cancer Genet 2017; 216-217:111-119. [PMID: 29025585 DOI: 10.1016/j.cancergen.2017.08.001] [Citation(s) in RCA: 30] [Impact Index Per Article: 4.3] [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: 05/17/2017] [Revised: 08/04/2017] [Accepted: 08/06/2017] [Indexed: 01/26/2023]
Abstract
Few susceptibility genes for gastric cancer have been identified. We sought to identify germline susceptibility genes from participants with gastric cancer from an international hereditary cancer research network. Adults with gastric cancer of any histology, and with a germline DNA sample (n = 51), were retrospectively selected. For those without previously identified germline mutations (n = 43), sequencing was performed for 706 candidate genes. Twenty pathogenic or likely pathogenic variants were identified among 18 participants. Eight of the 18 participants had previous positive clinical testing, including six with CDH1 pathogenic or likely pathogenic variants, and two with pathogenic MSH2 and TP53 variants. Of the remaining 10, six were in BRCA1 DNA damage response pathway genes (ATM, ATR, BRCA2, BRIP1, FANCC, TP53), other variants were identified in CTNNA1, FLCN, SBDS, and GNAS. Participants identified with pathogenic or likely pathogenic variants were younger at gastric cancer diagnosis than those without, 39.1 versus 48.0 years, and over 50% had a close family member with gastric cancer (p-values < 0.0001). In conclusion, many participants were identified with mutations in clinically-actionable genes. Age of onset and family history of gastric cancer were mutation status predictors. Our findings support multigene panels in identifying gastric cancer predisposition.
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Affiliation(s)
- Thomas Slavin
- Division of Clinical Cancer Genomics, City of Hope National Medical Center, 1500 E. Duarte Rd., Bldg 173, Duarte, CA 91010; Department of Medical Oncology & Therapeutics Research, City of Hope National Medical Center, Duarte, CA 91010.
| | - Susan L Neuhausen
- Department of Population Sciences, Beckman Research Institute of City of Hope, City of Hope National Medical Center, 1500 E. Duarte Rd., Duarte, CA 91010
| | - Christina Rybak
- Division of Clinical Cancer Genomics, City of Hope National Medical Center, 1500 E. Duarte Rd., Bldg 173, Duarte, CA 91010
| | - Ilana Solomon
- Division of Clinical Cancer Genomics, City of Hope National Medical Center, 1500 E. Duarte Rd., Bldg 173, Duarte, CA 91010
| | - Bita Nehoray
- Division of Clinical Cancer Genomics, City of Hope National Medical Center, 1500 E. Duarte Rd., Bldg 173, Duarte, CA 91010
| | - Kathleen Blazer
- Division of Clinical Cancer Genomics, City of Hope National Medical Center, 1500 E. Duarte Rd., Bldg 173, Duarte, CA 91010
| | - Mariana Niell-Swiller
- Division of Clinical Cancer Genomics, City of Hope National Medical Center, 1500 E. Duarte Rd., Bldg 173, Duarte, CA 91010
| | - Aaron W Adamson
- Department of Population Sciences, Beckman Research Institute of City of Hope, City of Hope National Medical Center, 1500 E. Duarte Rd., Duarte, CA 91010
| | - Yate-Ching Yuan
- Department of Molecular Medicine, Beckman Research Institute of City of Hope, City of Hope National Medical Center, 1500 E. Duarte Rd., Duarte, CA 91010
| | - Kai Yang
- Division of Clinical Cancer Genomics, City of Hope National Medical Center, 1500 E. Duarte Rd., Bldg 173, Duarte, CA 91010
| | - Sharon Sand
- Division of Clinical Cancer Genomics, City of Hope National Medical Center, 1500 E. Duarte Rd., Bldg 173, Duarte, CA 91010
| | - Danielle Castillo
- Division of Clinical Cancer Genomics, City of Hope National Medical Center, 1500 E. Duarte Rd., Bldg 173, Duarte, CA 91010
| | - Josef Herzog
- Division of Clinical Cancer Genomics, City of Hope National Medical Center, 1500 E. Duarte Rd., Bldg 173, Duarte, CA 91010
| | - Xiwei Wu
- Department of Molecular Medicine, Beckman Research Institute of City of Hope, City of Hope National Medical Center, 1500 E. Duarte Rd., Duarte, CA 91010
| | - Shu Tao
- Department of Molecular Medicine, Beckman Research Institute of City of Hope, City of Hope National Medical Center, 1500 E. Duarte Rd., Duarte, CA 91010
| | - Tanya Chavez
- Division of Clinical Cancer Genomics, City of Hope National Medical Center, 1500 E. Duarte Rd., Bldg 173, Duarte, CA 91010
| | - Yanghee Woo
- Division of Surgical, City of Hope National Medical Center, 1500 E. Duarte Rd., Duarte, CA 91010
| | - Joseph Chao
- Department of Medical Oncology & Therapeutics Research, City of Hope National Medical Center, Duarte, CA 91010
| | - Pamela Mora
- Instituto Nacional de Enfermedades Neoplásticas, Av. Angamos Este 2520, Surquillo 15038, Peru
| | | | - Jeffrey Weitzel
- Division of Clinical Cancer Genomics, City of Hope National Medical Center, 1500 E. Duarte Rd., Bldg 173, Duarte, CA 91010; Department of Medical Oncology & Therapeutics Research, City of Hope National Medical Center, Duarte, CA 91010
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16
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Blazer KR, Slavin T, Weitzel JN. Increased Reach of Genetic Cancer Risk Assessment as a Tool for Precision Management of Hereditary Breast Cancer. JAMA Oncol 2017; 2:723-4. [PMID: 26869327 DOI: 10.1001/jamaoncol.2015.5975] [Citation(s) in RCA: 9] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/18/2022]
Affiliation(s)
- Kathleen R Blazer
- Division of Clinical Cancer Genetics, City of Hope, Duarte, California
| | - Thomas Slavin
- Division of Clinical Cancer Genetics, City of Hope, Duarte, California
| | - Jeffrey N Weitzel
- Division of Clinical Cancer Genetics, City of Hope, Duarte, California
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17
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Pillai RK, Lopategui JR, Dhall D, Guindi M, Slavin T, Lofton-Day CE, Patterson SD. The State of the Art in Colorectal Cancer Molecular Biomarker Testing. Adv Anat Pathol 2016; 23:92-103. [PMID: 26849815 PMCID: PMC5978700 DOI: 10.1097/pap.0000000000000107] [Citation(s) in RCA: 9] [Impact Index Per Article: 1.1] [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] [Indexed: 12/22/2022]
Abstract
The number of molecular biomarkers to inform treatment decisions in patients with metastatic colorectal cancer (mCRC) continues to expand and with it the methodologies that can be employed to evaluate these biomarkers. Beyond standard diagnostic and prognostic biomarkers, such as those used for Lynch syndrome, mutations in KRAS exon 2 are well established as predictive for lack of response to the antiepidermal growth factor receptor therapies panitumumab and cetuximab. Recent studies have extended these findings by demonstrating that mutations in KRAS exons 3 and 4 and in NRAS exons 2, 3, and 4 (with all KRAS and NRAS mutations collectively referred to as RAS) are also predictive for treatment outcomes among patients with mCRC receiving panitumumab and cetuximab in combination with chemotherapy or as monotherapy. Consequently, evaluation of these additional loci has been incorporated into current clinical guidelines, and pathologists will need to develop testing procedures and algorithms to reliably and rapidly evaluate RAS status. With the increased number of mutations that must be examined to evaluate the status of RAS and other emerging biomarkers, next-generation sequencing technologies are likely to become increasingly important in mCRC testing. This review describes new considerations for pathologists that have arisen as a consequence of the incorporation of additional biomarker testing into clinical practice for mCRC.
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Affiliation(s)
- Raju K Pillai
- *City of Hope National Medical Center, Duarte †Cedars-Sinai Medical Center, Los Angeles ‡Amgen Inc., Thousand Oaks, CA
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18
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Repnikova EA, Astbury C, Reshmi SC, Ramsey SN, Atkin JF, Thrush DL, Mitchell AL, Pyatt RE, Reber K, Slavin T, Gastier-Foster JM. Microarray comparative genomic hybridization and cytogenetic characterization of tissue-specific mosaicism in three patients. Am J Med Genet A 2012; 158A:1924-33. [DOI: 10.1002/ajmg.a.35477] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/19/2011] [Accepted: 04/13/2012] [Indexed: 11/08/2022]
Affiliation(s)
- Elena A Repnikova
- Department of Pathology and Laboratory Medicine, Nationwide Children's Hospital, and The Ohio State University College of Medicine, Columbus, Ohio 43205, USA
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Abstract
OBJECTIVES To test the health, safety, and productivity effects of long workhours. METHODS Secondary analyses of a longitudinal employee panel (n = 2746). Average hours worked during spring 2001 were assessed relative to health, safety, and productivity outcomes spanning summer 2001 through spring 2002. RESULTS Employees working overtime were no more likely to incur adverse physical or mental health, presenteeism, or disability outcomes. Those working 60+ hours were more likely to report new injuries and diagnoses, but these effects were overwhelmed by prior health, demographics, and compensation type. CONCLUSIONS Much previous work has suggested that long workhours generate a wide range of adverse outcomes across the employee continuum. This study found no evidence for pervasive workhour effects. Rather, long workhours--especially weekly schedules at the 60 hour or above mark--can lead to problems in certain areas of health and safety. More research is needed that tests group differences across segmented characteristics (eg, poor versus good health) but keeps workhour impact in perspective.
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20
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Bunn WB, Pikelny DB, Paralkar S, Slavin T, Borden S, Allen HM. The burden of allergies--and the capacity of medications to reduce this burden-in a heavy manufacturing environment. J Occup Environ Med 2004; 45:941-55. [PMID: 14506338 DOI: 10.1097/01.jom.0000090468.73649.50] [Citation(s) in RCA: 32] [Impact Index Per Article: 1.6] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/25/2022]
Abstract
This article addresses the observational findings of the first systematic study undertaken by a manufacturer to address the impact of allergies and use of allergy medications on health, safety, and productivity. It provides background for 3 other papers from the same project, including an evaluation of an intervention to promote appropriate medication use among affected employees, which appear in this issue. The observational data are developed on 10,714 employees from: 1) 2 employee surveys; 2) administrative databases monitoring employee absenteeism, workers compensation, short-term disability, and group health. The results show that health, productivity, absenteeism, workplace injury, and workers compensation measures register consistent declines as allergy severity levels increase. This pattern is present but less pronounced for the short-term disability and group health measures. In addition, among the 16 measures registering a significant allergy burden, 6 posted significant advantages for the use of nonsedating antihistamines relative to other medication regimens that included sedative antihistamines. These results document the burden of allergies and the capacity of medications to reduce this burden. Effective intervention programs that target this condition can achieve improved health, productivity, and related outcomes.
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Affiliation(s)
- William B Bunn
- International Truck & Engine Corporation, Chicago, Illinois, USA.
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Allen HM, Borden S, Pikelny DB, Paralkar S, Slavin T, Bunn WB. An Intervention to Promote Appropriate Management of Allergies in a Heavy Manufacturing Workforce: Evaluating Health and Productivity Outcomes. J Occup Environ Med 2003; 45:956-72. [PMID: 14506339 DOI: 10.1097/01.jom.0000090742.76380.8c] [Citation(s) in RCA: 15] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/26/2022]
Abstract
This work presents the evaluation of a first-of-its-kind intervention to improve the management of allergies among workers in a largely blue-collar industrial setting. This intervention implemented eight educational strategies focusing on appropriate medication use in the context of a controlled, nonrandomized, pre-post quasi-experimental study design. Program implementation occurred during summer 2001, with change assessed by means of measures of health and productivity, developed from employee surveys timed to occur at the height of the spring and fall allergy seasons, and measures of contemporaneous adverse events developed from administrative databases. Evidence of improvement was found at one experimental site but not at the other experimental sites or the control site. Tests using exploratory and confirmatory analyses were conducted of two hypotheses linking the gains of this site's allergy group to 1) intervention process changes and 2) changes in allergy severity caused by seasonality. Neither hypothesis is found to fully account for the explained variation between sites. Similar pre-post productivity gains for other disease groups at this site relative to the other sites suggest that the inclusion of other unmeasured variables would improve explanation; e.g., the responses of employees with chronic disease to notably challenging labor negotiations at this site. The implications for promoting behavioral change in the management of the impact of disease on productivity are explored.
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22
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Linzer M, Slavin T, Mutha S, Takayama JI, Branda L, VanEyck S, McMurray JE, Rabinowitz HK. Admission, recruitment, and retention: finding and keeping the generalist-oriented student. SGIM Task Force on Career Choice in Primary Care and Internal Medicine. J Gen Intern Med 1994; 9:S14-23. [PMID: 8014739 DOI: 10.1007/bf02598114] [Citation(s) in RCA: 27] [Impact Index Per Article: 0.9] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 01/28/2023]
Abstract
As the country strives to produce larger numbers of generalist physicians, considerable controversy has arisen over whether or not generalist applicants can be identified, recruited, and influenced to keep a generalist-oriented commitment throughout medical training. The authors present new and existing data to show that: 1) preadmission (BA/MD or post-baccalaureate) programs can help to identify generalist-oriented students; 2) characteristics determined at admission to medical school are predictive of future generalist career choice; 3) current inpatient-oriented training programs strongly push students away from a primary care career; 4) women are more likely than men to choose generalist careers, primarily because of those careers' interpersonal orientation; and 5) residency training programs are able to select applicants likely to become generalists. Therefore, to produce more generalists, attempts should be made to encourage generalist-oriented students to enter medical schools and to revise curricula to focus on outpatient settings in which students can establish effective and satisfying relationships with patients. These strategies are most likely to be successful if enacted within the context of governmental and medical school-based changes that allow for more reimbursement and respect for the generalist disciplines.
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Affiliation(s)
- M Linzer
- Department of Medicine, University of Wisconsin School of Medicine, Madison
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