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Kunisetty B, Martin-Giacalone BA, Zhao X, Luna PN, Brooks BP, Hufnagel RB, Shaw CA, Rosenfeld JA, Agopian AJ, Lupo PJ, Scott DA. High Clinical Exome Sequencing Diagnostic Rates and Novel Phenotypic Expansions for Nonisolated Microphthalmia, Anophthalmia, and Coloboma. Invest Ophthalmol Vis Sci 2024; 65:25. [PMID: 38502138 PMCID: PMC10959191 DOI: 10.1167/iovs.65.3.25] [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: 11/22/2023] [Accepted: 02/26/2024] [Indexed: 03/20/2024] Open
Abstract
Purpose A molecular diagnosis is only made in a subset of individuals with nonisolated microphthalmia, anophthalmia, and coloboma (MAC). This may be due to underutilization of clinical (whole) exome sequencing (cES) and an incomplete understanding of the genes that cause MAC. The purpose of this study is to determine the efficacy of cES in cases of nonisolated MAC and to identify new MAC phenotypic expansions. Methods We determined the efficacy of cES in 189 individuals with nonisolated MAC. We then used cES data, a validated machine learning algorithm, and previously published expression data, case reports, and animal models to determine which candidate genes were most likely to contribute to the development of MAC. Results We found the efficacy of cES in nonisolated MAC to be between 32.3% (61/189) and 48.1% (91/189). Most genes affected in our cohort were not among genes currently screened in clinically available ophthalmologic gene panels. A subset of the genes implicated in our cohort had not been clearly associated with MAC. Our analyses revealed sufficient evidence to support low-penetrance MAC phenotypic expansions involving nine of these human disease genes. Conclusions We conclude that cES is an effective means of identifying a molecular diagnosis in individuals with nonisolated MAC and may identify putatively damaging variants that would be missed if only a clinically available ophthalmologic gene panel was obtained. Our data also suggest that deleterious variants in BRCA2, BRIP1, KAT6A, KAT6B, NSF, RAC1, SMARCA4, SMC1A, and TUBA1A can contribute to the development of MAC.
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Affiliation(s)
- Bhavana Kunisetty
- Department of Molecular and Human Genetics, Baylor College of Medicine, Houston, Texas, United States
| | - Bailey A. Martin-Giacalone
- Division of Public Health Sciences, Department of Surgery, Washington University School of Medicine, St. Louis, Missouri, United States
- Section of Hematology-Oncology, Department of Pediatrics, Baylor College of Medicine, Houston, Texas, United States
| | - Xiaonan Zhao
- Department of Molecular and Human Genetics, Baylor College of Medicine, Houston, Texas, United States
- Baylor Genetics, Houston, Texas, United States
| | - Pamela N. Luna
- Department of Molecular and Human Genetics, Baylor College of Medicine, Houston, Texas, United States
| | - Brian P. Brooks
- Ophthalmic Genetics & Visual Function Branch, National Eye Institute, NIH, Bethesda, Maryland, United States
| | - Robert B. Hufnagel
- Ophthalmic Genetics & Visual Function Branch, National Eye Institute, NIH, Bethesda, Maryland, United States
| | - Chad A. Shaw
- Department of Molecular and Human Genetics, Baylor College of Medicine, Houston, Texas, United States
| | - Jill A. Rosenfeld
- Department of Molecular and Human Genetics, Baylor College of Medicine, Houston, Texas, United States
| | - A. J. Agopian
- Department of Epidemiology, Human Genetics & Environmental Sciences, UTHealth School of Public Health, Houston, Texas, United States
| | - Philip J. Lupo
- Section of Hematology-Oncology, Department of Pediatrics, Baylor College of Medicine, Houston, Texas, United States
| | - Daryl A. Scott
- Department of Molecular and Human Genetics, Baylor College of Medicine, Houston, Texas, United States
- Department of Molecular Physiology and Biophysics, Baylor College of Medicine, Houston, Texas, United States
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Martin-Giacalone BA, Li H, Scheurer ME, Casey DL, Dugan-Perez S, Marquez-Do DA, Muzny D, Gibbs RA, Barkauskas DA, Hall D, Stewart DR, Schiffman JD, McEvoy MT, Khan J, Malkin D, Linardic CM, Crompton BD, Shern JF, Skapek SX, Venkatramani R, Hawkins DS, Sabo A, Plon SE, Lupo PJ. Germline Genetic Testing and Survival Outcomes Among Children With Rhabdomyosarcoma: A Report From the Children's Oncology Group. JAMA Netw Open 2024; 7:e244170. [PMID: 38546643 PMCID: PMC10979319 DOI: 10.1001/jamanetworkopen.2024.4170] [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] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/25/2023] [Accepted: 02/01/2024] [Indexed: 04/01/2024] Open
Abstract
Importance Determining the impact of germline cancer-predisposition variants (CPVs) on outcomes could inform novel approaches to testing and treating children with rhabdomyosarcoma. Objective To assess whether CPVs are associated with outcome among children with rhabdomyosarcoma. Design, Setting, and Participants In this cohort study, data were obtained for individuals, aged 0.01-23.23 years, newly diagnosed with rhabdomyosarcoma who were treated across 171 Children's Oncology Group sites from March 15, 1999, to December 8, 2017. Data analysis was performed from June 16, 2021, to May 15, 2023. Exposure The presence of a CPV in 24 rhabdomyosarcoma-associated cancer-predisposition genes (CPGs) or an expanded set of 63 autosomal-dominant CPGs. Main Outcomes and Measures Overall survival (OS) and event-free survival (EFS) were the main outcomes, using the Kaplan-Meier estimator to assess survival probabilities and the Cox proportional hazards regression model to adjust for clinical covariates. Analyses were stratified by tumor histology and the fusion status of PAX3 or PAX7 to the FOXO1 gene. Results In this study of 580 individuals with rhabdomyosarcoma, the median patient age was 5.9 years (range, 0.01-23.23 years), and the male-to-female ratio was 1.5 to 1 (351 [60.5%] male). For patients with CPVs in rhabdomyosarcoma-associated CPGs, EFS was 48.4% compared with 57.8% for patients without a CPV (P = .10), and OS was 53.7% compared with 65.3% for patients without a CPV (P = .06). After adjustment, patients with CPVs had significantly worse OS (adjusted hazard ratio [AHR], 2.49 [95% CI, 1.39-4.45]; P = .002), and the outcomes were not better among patients with embryonal histology (EFS: AHR, 2.25 [95% CI, 1.25-4.06]; P = .007]; OS: AHR, 2.83 [95% CI, 1.47-5.43]; P = .002]). These associations were not due to the development of a second malignant neoplasm, and importantly, patients with fusion-negative rhabdomyosarcoma who harbored a CPV had similarly inferior outcomes as patients with fusion-positive rhabdomyosarcoma without CPVs (EFS: AHR, 1.35 [95% CI, 0.71-2.59]; P = .37; OS: AHR, 1.71 [95% CI, 0.84-3.47]; P = .14). There were no significant differences in outcome by CPV status of the 63 CPG set. Conclusions and Relevance This cohort study identified a group of patients with embryonal rhabdomyosarcoma who had a particularly poor outcome. Other important clinical findings included that individuals with TP53 had poor outcomes independent of second malignant neoplasms and that patients with fusion-negative rhabdomyosarcoma who harbored a CPV had outcomes comparable to patients with fusion-positive rhabdomyosarcoma. These findings suggest that germline CPV testing may aid in clinical prognosis and should be considered in prospective risk-based clinical trials.
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Affiliation(s)
- Bailey A. Martin-Giacalone
- Division of Public Health Sciences, Department of Surgery, Washington University School of Medicine in St. Louis, St. Louis, Missouri
- Department of Pediatrics, Section of Hematology-Oncology, Baylor College of Medicine, Houston, Texas
| | - He Li
- Human Genome Sequencing Center, Baylor College of Medicine, Houston, Texas
| | - Michael E. Scheurer
- Department of Pediatrics, Section of Hematology-Oncology, Baylor College of Medicine, Houston, Texas
- Dan L. Duncan Comprehensive Cancer Center, Baylor College of Medicine, Houston, Texas
| | - Dana L. Casey
- Department of Radiation Oncology, University of North Carolina at Chapel Hill School of Medicine, Chapel Hill
| | | | - Deborah A. Marquez-Do
- Department of Pediatrics, Section of Hematology-Oncology, Baylor College of Medicine, Houston, Texas
| | - Donna Muzny
- Human Genome Sequencing Center, Baylor College of Medicine, Houston, Texas
| | - Richard A. Gibbs
- Human Genome Sequencing Center, Baylor College of Medicine, Houston, Texas
- Department of Molecular and Human Genetics, Baylor College of Medicine, Houston, Texas
| | - Donald A. Barkauskas
- Department of Population and Public Health Sciences, Keck School of Medicine of University of Southern California, Los Angeles
- QuadW Childhood Sarcoma Biostatistics and Annotation Office at the Children’s Oncology Group, Monrovia, California
| | - David Hall
- QuadW Childhood Sarcoma Biostatistics and Annotation Office at the Children’s Oncology Group, Monrovia, California
| | - Douglas R. Stewart
- Clinical Genetics Branch, Division of Cancer Epidemiology and Genetics, National Cancer Institute, National Institutes of Health, Rockville, Maryland
| | - Joshua D. Schiffman
- Department of Pediatrics, Huntsman Cancer Institute, University of Utah, Salt Lake City
- Department of Oncological Sciences, Huntsman Cancer Institute, University of Utah, Salt Lake City
| | - Matthew T. McEvoy
- Department of Pediatrics, Section of Hematology-Oncology, Baylor College of Medicine, Houston, Texas
| | - Javed Khan
- Oncogenomics Section, Genetics Branch, Center for Cancer Research, National Cancer Institute, National Institutes of Health, Bethesda, Maryland
| | - David Malkin
- Division of Haematology-Oncology, Department of Paediatrics, The Hospital for Sick Children, University of Toronto, Toronto, Ontario, Canada
| | - Corinne M. Linardic
- Department of Pediatrics, Duke University School of Medicine, Durham, North Carolina
- Department of Pharmacology and Cancer Biology, Duke University School of Medicine, Durham, North Carolina
| | - Brian D. Crompton
- Department of Pediatric Oncology, Dana-Farber/Boston Children’s Cancer and Blood Disorders Center, Harvard Medical School, Boston, Massachusetts
| | - Jack F. Shern
- Pediatric Oncology Branch, Center for Cancer Research, National Cancer Institute, National Institutes of Health, Bethesda, Maryland
| | - Stephen X. Skapek
- Department of Pediatrics, The University of Texas Southwestern Medical Center, Dallas
| | - Rajkumar Venkatramani
- Department of Pediatrics, Section of Hematology-Oncology, Baylor College of Medicine, Houston, Texas
| | - Douglas S. Hawkins
- Division of Hematology-Oncology, Seattle Children’s Hospital, University of Washington School of Medicine, Seattle
| | - Aniko Sabo
- Human Genome Sequencing Center, Baylor College of Medicine, Houston, Texas
| | - Sharon E. Plon
- Department of Pediatrics, Section of Hematology-Oncology, Baylor College of Medicine, Houston, Texas
- Human Genome Sequencing Center, Baylor College of Medicine, Houston, Texas
- Dan L. Duncan Comprehensive Cancer Center, Baylor College of Medicine, Houston, Texas
- Department of Molecular and Human Genetics, Baylor College of Medicine, Houston, Texas
| | - Philip J. Lupo
- Department of Pediatrics, Section of Hematology-Oncology, Baylor College of Medicine, Houston, Texas
- Dan L. Duncan Comprehensive Cancer Center, Baylor College of Medicine, Houston, Texas
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Martin-Giacalone BA, Richard MA, Scheurer ME, Khan J, Sok P, Shetty PB, Chanock SJ, Li SA, Yeager M, Marquez-Do DA, Barkauskas DA, Hall D, McEvoy MT, Brown AL, Sabo A, Scheet P, Huff CD, Skapek SX, Hawkins DS, Venkatramani R, Mirabello L, Lupo PJ. Germline genetic variants and pediatric rhabdomyosarcoma outcomes: a report from the Children's Oncology Group. J Natl Cancer Inst 2023; 115:733-741. [PMID: 36951526 PMCID: PMC10248851 DOI: 10.1093/jnci/djad055] [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: 11/28/2022] [Revised: 02/15/2023] [Accepted: 03/09/2023] [Indexed: 03/24/2023] Open
Abstract
BACKGROUND Relative to other pediatric cancers, survival for rhabdomyosarcoma (RMS) has not improved in recent decades, suggesting the need to enhance risk stratification. Therefore, we conducted a genome-wide association study for event-free survival (EFS) and overall survival (OS) to identify genetic variants associated with outcomes in individuals with RMS. METHODS The study included 920 individuals with newly diagnosed RMS who were enrolled in Children's Oncology Group protocols. To assess the association of each single nucleotide polymorphism (SNP) with EFS and OS, we estimated hazard ratios (HRs) and 95% confidence intervals (CIs) using multivariable Cox proportional hazards models, adjusted for clinical covariates. All statistical tests were two sided. We also performed stratified analyses by histological subtype (alveolar and embryonal RMS) and carried out sensitivity analyses of statistically significant SNPs by PAX3/7-FOXO1 fusion status and genetic ancestry group. RESULTS We identified that rs17321084 was associated with worse EFS (HR = 2.01, 95% CI = 1.59 to 2.53, P = 5.39 × 10-9) and rs10094840 was associated with worse OS (HR = 1.84, 95% CI = 1.48 to 2.27, P = 2.13 × 10-8). Using publicly available data, we found that rs17321084 lies in a binding region for transcription factors GATA2 and GATA3, and rs10094840 is associated with SPAG1 and RNF19A expression. We also identified that CTNNA3 rs2135732 (HR = 3.75, 95% CI = 2.34 to 5.99, P = 3.54 × 10-8) and MED31 rs74504320 (HR = 3.21, 95% CI = 2.12 to 4.86, P = 3.60 × 10-8) were associated with worse OS among individuals with alveolar RMS. CONCLUSIONS We demonstrated that common germline variants are associated with EFS and OS among individuals with RMS. Additional replication and investigation of these SNP effects may further support their consideration in risk stratification protocols.
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Affiliation(s)
- Bailey A Martin-Giacalone
- Division of Public Health Sciences, Department of Surgery, Washington University School of Medicine, St. Louis, MO, USA
- Section of Hematology-Oncology, Department of Pediatrics, Baylor College of Medicine, Houston, TX, USA
| | - Melissa A Richard
- Section of Hematology-Oncology, Department of Pediatrics, Baylor College of Medicine, Houston, TX, USA
| | - Michael E Scheurer
- Section of Hematology-Oncology, Department of Pediatrics, Baylor College of Medicine, Houston, TX, USA
- Dan L. Duncan Comprehensive Cancer Center, Baylor College of Medicine, Houston, TX, USA
| | - Javed Khan
- Genetics Branch, Center for Cancer Research, National Cancer Institute, National Institutes of Health, Bethesda, MD, USA
| | - Pagna Sok
- Section of Hematology-Oncology, Department of Pediatrics, Baylor College of Medicine, Houston, TX, USA
| | - Priya B Shetty
- Section of Hematology-Oncology, Department of Pediatrics, Baylor College of Medicine, Houston, TX, USA
| | - Stephen J Chanock
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, National Institutes of Health, Bethesda, MD, USA
| | | | - Meredith Yeager
- Frederick National Laboratory for Cancer Research, Frederick, MD, USA
| | - Deborah A Marquez-Do
- Section of Hematology-Oncology, Department of Pediatrics, Baylor College of Medicine, Houston, TX, USA
| | - Donald A Barkauskas
- Department of Population and Public Health Sciences, Keck School of Medicine of the University of Southern California, Los Angeles, CA, USA
- QuadW Childhood Sarcoma Biostatistics and Annotation Office, Children’s Oncology Group, Monrovia, CA, USA
| | - David Hall
- QuadW Childhood Sarcoma Biostatistics and Annotation Office, Children’s Oncology Group, Monrovia, CA, USA
| | - Matthew T McEvoy
- Section of Hematology-Oncology, Department of Pediatrics, Baylor College of Medicine, Houston, TX, USA
| | - Austin L Brown
- Section of Hematology-Oncology, Department of Pediatrics, Baylor College of Medicine, Houston, TX, USA
| | - Aniko Sabo
- Human Genome Sequencing Center, Baylor College of Medicine, Houston, TX, USA
| | - Paul Scheet
- Department of Epidemiology, The University of Texas MD Anderson Cancer Center, Houston, TX, USA
| | - Chad D Huff
- Department of Epidemiology, The University of Texas MD Anderson Cancer Center, Houston, TX, USA
| | - Stephen X Skapek
- Department of Pediatrics, University of Texas Southwestern Medical Center, Dallas, TX, USA
| | - Douglas S Hawkins
- Division of Hematology-Oncology, Department of Pediatrics, Seattle Children’s Hospital, University of Washington, Seattle, WA, USA
| | - Rajkumar Venkatramani
- Section of Hematology-Oncology, Department of Pediatrics, Baylor College of Medicine, Houston, TX, USA
| | - Lisa Mirabello
- Clinical Genetics Branch, Division of Cancer Epidemiology and Genetics, National Cancer Institute, National Institutes of Health, Rockville, MA, USA
| | - Philip J Lupo
- Section of Hematology-Oncology, Department of Pediatrics, Baylor College of Medicine, Houston, TX, USA
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Martin-Giacalone BA, Lin AE, Rasmussen SA, Kirby RS, Nestoridi E, Liberman RF, Agopian AJ, Carey JC, Cragan JD, Forestieri N, Leedom V, Boyce A, Nembhard WN, Piccardi M, Sandidge T, Shan X, Shumate CJ, Stallings EB, Stevenson R, Lupo PJ. Prevalence and descriptive epidemiology of Turner syndrome in the United States, 2000-2017: A report from the National Birth Defects Prevention Network. Am J Med Genet A 2023; 191:1339-1349. [PMID: 36919524 PMCID: PMC10405780 DOI: 10.1002/ajmg.a.63181] [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] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/08/2022] [Revised: 02/07/2023] [Accepted: 02/27/2023] [Indexed: 03/16/2023]
Abstract
The lack of United States population-based data on Turner syndrome limits assessments of prevalence and associated characteristics for this sex chromosome abnormality. Therefore, we collated 2000-2017 data from seven birth defects surveillance programs within the National Birth Defects Prevention Network. We estimated the prevalence of karyotype-confirmed Turner syndrome diagnosed within the first year of life. We also calculated the proportion of cases with commonly ascertained birth defects, assessed associations with maternal and infant characteristics using prevalence ratios (PR) with 95% confidence intervals (CI), and estimated survival probability. The prevalence of Turner syndrome of any pregnancy outcome was 3.2 per 10,000 female live births (95% CI = 3.0-3.3, program range: 1.0-10.4), and 1.9 for live birth and stillbirth (≥20 weeks gestation) cases (95% CI = 1.8-2.1, program range: 0.2-3.9). Prevalence was lowest among cases born to non-Hispanic Black women compared to non-Hispanic White women (PR = 0.5, 95% CI = 0.4-0.6). Coarctation of the aorta was the most common defect (11.6% of cases), and across the cohort, individuals without hypoplastic left heart had a five-year survival probability of 94.6%. The findings from this population-based study may inform surveillance practices, prenatal counseling, and diagnosis. We also identified racial and ethnic disparities in prevalence, an observation that warrants further investigation.
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Affiliation(s)
- Bailey A. Martin-Giacalone
- Department of Surgery, Washington University in St. Louis School of Medicine, St. Louis, Missouri, USA
- Department of Pediatrics, Baylor College of Medicine, Houston, Texas, USA
| | - Angela E. Lin
- Medical Genetics Unit, Mass General for Children, Boston, Massachusetts, USA
| | - Sonja A. Rasmussen
- Department of Genetic Medicine, The Johns Hopkins University School of Medicine, Baltimore, Maryland, USA
- Department of Pediatrics, University of Florida College of Medicine, Gainesville, Florida, USA
- Division of Population Health Surveillance, South Carolina Department of Health and Environmental Control, Columbia, South Carolina, USA
| | - Russell S. Kirby
- Chiles Center, University of South Florida College of Public Health, Tampa, Florida, USA
| | - Eirini Nestoridi
- Center for Birth Defects Research and Prevention, Massachusetts Department of Public Health, Boston, Massachusetts, USA
| | - Rebecca F. Liberman
- Center for Birth Defects Research and Prevention, Massachusetts Department of Public Health, Boston, Massachusetts, USA
| | - A. J. Agopian
- Department of Epidemiology, Human Genetics, and Environmental Sciences, UTHealth School of Public Health, Houston, Texas, USA
| | - John C. Carey
- Department of Pediatrics, University of Utah Health, Salt Lake City, Utah, USA
| | - Janet D. Cragan
- National Center on Birth Defects and Developmental Disabilities, Centers for Disease Control and Prevention, Atlanta, Georgia, USA
| | - Nina Forestieri
- Division of Public Health, North Carolina Department of Health and Human Services, Raleigh, North Carolina, USA
| | - Vinita Leedom
- Division of Population Health Surveillance, South Carolina Department of Health and Environmental Control, Columbia, South Carolina, USA
| | - Aubree Boyce
- Utah Birth Defect Network, Utah Department of Health and Human Services, Salt Lake City, Utah, USA
| | - Wendy N. Nembhard
- Department of Epidemiology, University of Arkansas for Medical Sciences, Little Rock, Arkansas, USA
| | - Monika Piccardi
- Office of Genetics and People with Special Health Care Needs, Maryland Department of Health, Baltimore, Maryland, USA
| | - Theresa Sandidge
- Division of Epidemiologic Studies, Illinois Department of Public Health, Springfield, Illinois, USA
| | - Xiaoyi Shan
- Arkansas Reproductive Health Monitoring System, Arkansas Children’s Research Institute, Little Rock, Arkansas, USA
| | - Charles J. Shumate
- Birth Defects Epidemiology and Surveillance Branch, Texas Department of State Health Services, Austin, Texas, USA
| | - Erin B. Stallings
- National Center on Birth Defects and Developmental Disabilities, Centers for Disease Control and Prevention, Atlanta, Georgia, USA
| | | | - Philip J. Lupo
- Department of Pediatrics, Baylor College of Medicine, Houston, Texas, USA
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Martin-Giacalone BA, Scheurer ME, Khan J, Chanock SJ, Li SA, Yeager M, Marquez-Do DA, Barkauskas DA, Hall D, McEvoy MT, Richard MA, Sok P, Brown AL, Sabo A, Skapek SX, Hawkins DS, Venkatramani R, Mirabello L, Lupo PJ. Abstract 683: Identification of common germline variants associated with pediatric rhabdomyosarcoma survival: A report from the Children's Oncology Group (COG). Cancer Res 2022. [DOI: 10.1158/1538-7445.am2022-683] [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: Rhabdomyosarcoma (RMS) is the most common soft tissue sarcoma in children and has one of the poorest survival rates among pediatric cancers, underscoring the need to identify factors which may be leveraged to improve therapeutic options for these individuals.
Methods: We carried out a genome-wide association study of overall survival (OS) and event-free survival (EFS) in 920 RMS patients from COG protocols and randomly divided them into discovery (n=642) and replication (n=278) cohorts. Genotyping was conducted using the Illumina OmniExpress or Global Screening Array and imputed using the Haplotype Reference Consortium. We used Cox proportional hazards regression to calculate an adjusted hazard ratio (aHR) and P value for each common variant (minor allele frequency [MAF]>5%) for OS and EFS while adjusting for age at diagnosis, tumor stage, histological subtype, and the top five principal components. Analyses were also conducted by histological subtype: embryonal RMS (ERMS, n=544) and alveolar RMS (ARMS, n=268). Finally, we performed a meta-analysis of the results from the discovery and replication cohorts to generate a summary aHR and P value for each single nucleotide polymorphism (SNP).
Results: We identified an intergenic SNP at chr8q21.13 associated with worse RMS EFS across subtypes (aHR=2.08, P=2.80x10-9), which had consistent effects across the discovery (aHR=1.91, P=5.05x10-6) and replication (aHR=2.62, P=7.16x10-5) cohorts. This SNP lies in a region which spans the genomic binding site for GATA2 and GATA3, transcription factors that are recognized to contribute to cancer development. We also identified a significant association between a SNP at chr12q21.1 and worse EFS (aHR=2.04, P=3.35x10-8) with consistent effects across the discovery and replication cohorts. Based on data from the Genotype-Tissue Expression project (GTEx), this SNP is associated with expression of SLCO1B1, a gene which encodes a liver anion transporter linked to RMS treatment-related toxicities. In subtype-specific analyses, we identified a SNP at chr17q21.32 that was significantly associated with worse ARMS OS (129 events; aHR=3.18, P=3.12x10-8; discovery: aHR=3.19, P=6.23x10-4; replication: aHR=3.16, P=1.43x10-3). In GTEx, this SNP is associated with expression and splicing of genes including PITPNM3, KIAA0753, and MED31 across various tissues. No SNPs were significantly associated with ERMS OS or EFS.
Conclusion: In the first GWAS of RMS survival outcomes, we identified two SNPs that were significantly associated with worse EFS across RMS subtypes. Further, we identified a SNP that was associated with OS in ARMS patients, a subtype that is associated with worse outcomes. Additional investigation of the impact of these SNPs may further support their consideration for novel risk stratification protocols.
Citation Format: Bailey A. Martin-Giacalone, Michael E. Scheurer, Javed Khan, Stephen J. Chanock, Shengchao Alfred Li, Meredith Yeager, Deborah A. Marquez-Do, Donald A. Barkauskas, David Hall, Matthew T. McEvoy, Melissa A. Richard, Pagna Sok, Austin L. Brown, Aniko Sabo, Stephen X. Skapek, Douglas S. Hawkins, Rajkumar Venkatramani, Lisa Mirabello, Philip J. Lupo. Identification of common germline variants associated with pediatric rhabdomyosarcoma survival: A report from the Children's Oncology Group (COG) [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 683.
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Affiliation(s)
| | | | - Javed Khan
- 2National Cancer Institute, Bethesda, MD
| | | | | | - Meredith Yeager
- 4Frederick National Laboratory for Cancer Research, Frederick, MD
| | | | | | - David Hall
- 6Children’s Oncology Group, Monrovia, CA
| | | | | | - Pagna Sok
- 1Baylor College of Medicine, Houston, TX
| | | | - Aniko Sabo
- 1Baylor College of Medicine, Houston, TX
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Hebach NR, Caro P, Martin-Giacalone BA, Lupo PJ, Marbach F, Choukair D, Schaaf CP. A retrospective analysis of growth hormone therapy in children with Schaaf-Yang syndrome. Clin Genet 2021; 100:298-307. [PMID: 34013972 DOI: 10.1111/cge.14000] [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] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/12/2021] [Revised: 05/12/2021] [Accepted: 05/14/2021] [Indexed: 12/19/2022]
Abstract
Short stature is a common phenotype in children with Schaaf-Yang syndrome (SYS). Prader-Willi syndrome (PWS) and SYS share several phenotypic features including short stature, muscular hypotonia and developmental delay/intellectual disability. Evidence exists that similar to PWS, growth hormone (GH) deficiency may also be a feature of SYS. Recombinant human GH (rhGH) therapy has been approved for PWS, but the effects of rhGH therapy in individuals with SYS have not yet been documented. This retrospective, questionnaire-based study analyzes the prevalence of rhGH therapy in children with SYS, the effects of rhGH therapy on anthropometric measures, and parental perception of the treatment. Twenty-six individuals with SYS were sent a clinical questionnaire and a request for growth charts. We found a significant increase in height z-score (p* = 0.04) as well as a significant decrease in body mass index 6 months after rhGH therapy initiation (p* = 0.04). Furthermore, height z-scores of the treated group (mean z-score = -1.00) were significantly higher than those of the untreated group (mean z-score = -3.36, p = 0.01) at time of enrollment. All parents reported an increase in muscle strength and endurance, and several families noted beneficial effects such as improved cognition and motor development.
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Affiliation(s)
- Nils R Hebach
- Institute of Human Genetics, Heidelberg University, Heidelberg, Germany
| | - Pilar Caro
- Institute of Human Genetics, Heidelberg University, Heidelberg, Germany
| | - Bailey A Martin-Giacalone
- Department of Pediatrics Section of Hematology-Oncology, Baylor College of Medicine, Houston, Texas, USA
| | - Philip J Lupo
- Department of Pediatrics Section of Hematology-Oncology, Baylor College of Medicine, Houston, Texas, USA
| | - Felix Marbach
- Institute of Human Genetics, Heidelberg University, Heidelberg, Germany
| | - Daniela Choukair
- Divison of Paediatric Endocrinology and Diabetology, University Children's Hospital, Heidelberg, Germany
| | - Christian Patrick Schaaf
- Institute of Human Genetics, Heidelberg University, Heidelberg, Germany.,Department of Molecular and Human Genetics, Baylor College of Medicine, Houston, Texas, USA
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Martin-Giacalone BA, Weinstein PA, Plon SE, Lupo PJ. Pediatric Rhabdomyosarcoma: Epidemiology and Genetic Susceptibility. J Clin Med 2021; 10:2028. [PMID: 34065162 PMCID: PMC8125975 DOI: 10.3390/jcm10092028] [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] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/29/2021] [Revised: 04/30/2021] [Accepted: 05/05/2021] [Indexed: 12/18/2022] Open
Abstract
Rhabdomyosarcoma (RMS) is the most common soft-tissue sarcoma in children, yet little is known about its etiology. Studies that examine either environmental exposures or germline genetic predisposition in RMS have begun to identify factors that contribute to this malignancy. Here, we summarize epidemiological reports of RMS incidence in terms of several factors, including age at diagnosis, biological sex, and geographic location. We then describe findings from association studies, which explore the role of parental exposures, birth and perinatal characteristics, and childhood exposures in RMS. Further, we discuss RMS predisposition syndromes and large-scale sequencing studies that have further identified RMS-associated genes. Finally, we propose future directions of study, which aim to advance our understanding of the origin of RMS and can provide knowledge for novel RMS therapies.
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Affiliation(s)
- Bailey A. Martin-Giacalone
- Department of Pediatrics, Section of Hematology-Oncology, Baylor College of Medicine, Houston, TX 77030, USA; (B.A.M.-G.); (P.A.W.); (S.E.P.)
- Program in Translational Biology and Molecular Medicine, Graduate School of Biomedical Sciences, Baylor College of Medicine, Houston, TX 77030, USA
| | - P. Adam Weinstein
- Department of Pediatrics, Section of Hematology-Oncology, Baylor College of Medicine, Houston, TX 77030, USA; (B.A.M.-G.); (P.A.W.); (S.E.P.)
- Genetics and Genomics Graduate Program, Graduate School of Biomedical Sciences, Baylor College of Medicine, Houston, TX 77030, USA
| | - Sharon E. Plon
- Department of Pediatrics, Section of Hematology-Oncology, Baylor College of Medicine, Houston, TX 77030, USA; (B.A.M.-G.); (P.A.W.); (S.E.P.)
- Department of Molecular and Human Genetics, Baylor College of Medicine, Houston, TX 77030, USA
| | - Philip J. Lupo
- Department of Pediatrics, Section of Hematology-Oncology, Baylor College of Medicine, Houston, TX 77030, USA; (B.A.M.-G.); (P.A.W.); (S.E.P.)
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Li H, Sisoudiya SD, Martin-Giacalone BA, Khayat MM, Dugan-Perez S, Marquez-Do DA, Scheurer ME, Muzny D, Boerwinkle E, Gibbs RA, Chi YY, Barkauskas DA, Lo T, Hall D, Stewart DR, Schiffman JD, Skapek SX, Hawkins DS, Plon SE, Sabo A, Lupo PJ. Germline Cancer Predisposition Variants in Pediatric Rhabdomyosarcoma: A Report From the Children's Oncology Group. J Natl Cancer Inst 2020; 113:875-883. [PMID: 33372952 DOI: 10.1093/jnci/djaa204] [Citation(s) in RCA: 48] [Impact Index Per Article: 12.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/19/2020] [Revised: 10/15/2020] [Accepted: 12/09/2020] [Indexed: 12/12/2022] Open
Abstract
BACKGROUND Several cancer-susceptibility syndromes are reported to underlie pediatric rhabdomyosarcoma (RMS); however, to our knowledge there have been no systematic efforts to characterize the heterogeneous genetic etiologies of this often-fatal malignancy. METHODS We performed exome-sequencing on germline DNA from 615 patients with newly diagnosed RMS consented through the Children's Oncology Group. We compared the prevalence of cancer predisposition variants in 63 autosomal-dominant cancer predisposition genes in these patients with population controls (n = 9963). All statistical tests were 2-sided. RESULTS We identified germline cancer predisposition variants in 45 RMS patients (7.3%; all FOXO1 fusion negative) across 15 autosomal dominant genes, which was statistically significantly enriched compared with controls (1.4%, P = 1.3 × 10-22). Specifically, 73.3% of the predisposition variants were found in predisposition syndrome genes previously associated with pediatric RMS risk, such as Li-Fraumeni syndrome (TP53) and neurofibromatosis type I (NF1). Notably, 5 patients had well-described oncogenic missense variants in HRAS (p.G12V and p.G12S) associated with Costello syndrome. Also, genetic etiology differed with histology, as germline variants were more frequent in embryonal vs alveolar RMS patients (10.0% vs 3.0%, P = .02). Although patients with a cancer predisposition variant tended to be younger at diagnosis (P = 9.9 × 10-4), 40.0% of germline variants were identified in those older than 3 years of age, which is in contrast to current genetic testing recommendations based on early age at diagnosis. CONCLUSIONS These findings demonstrate that genetic risk of RMS results from germline predisposition variants associated with a wide spectrum of cancer susceptibility syndromes. Germline genetic testing for children with RMS should be informed by RMS subtypes and not be limited to only young patients.
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Affiliation(s)
- He Li
- Human Genome Sequencing Center, Baylor College of Medicine, Houston, TX, USA
| | - Saumya D Sisoudiya
- Department of Pediatrics, Section of Hematology-Oncology, Baylor College of Medicine, Houston, TX, USA.,Department of Molecular and Human Genetics, Baylor College of Medicine, Houston, TX, USA.,Dan L. Duncan Comprehensive Cancer Center, Baylor College of Medicine, Houston, TX, USA
| | - Bailey A Martin-Giacalone
- Department of Pediatrics, Section of Hematology-Oncology, Baylor College of Medicine, Houston, TX, USA
| | - Michael M Khayat
- Human Genome Sequencing Center, Baylor College of Medicine, Houston, TX, USA.,Department of Molecular and Human Genetics, Baylor College of Medicine, Houston, TX, USA
| | - Shannon Dugan-Perez
- Human Genome Sequencing Center, Baylor College of Medicine, Houston, TX, USA
| | - Deborah A Marquez-Do
- Department of Pediatrics, Section of Hematology-Oncology, Baylor College of Medicine, Houston, TX, USA
| | - Michael E Scheurer
- Department of Pediatrics, Section of Hematology-Oncology, Baylor College of Medicine, Houston, TX, USA.,Dan L. Duncan Comprehensive Cancer Center, Baylor College of Medicine, Houston, TX, USA
| | - Donna Muzny
- Human Genome Sequencing Center, Baylor College of Medicine, Houston, TX, USA
| | - Eric Boerwinkle
- Human Genome Sequencing Center, Baylor College of Medicine, Houston, TX, USA.,School of Public Health, the University of Texas Health Science Center, Houston, TX, USA
| | - Richard A Gibbs
- Human Genome Sequencing Center, Baylor College of Medicine, Houston, TX, USA.,Department of Molecular and Human Genetics, Baylor College of Medicine, Houston, TX, USA
| | - Yueh-Yun Chi
- Children's Hospital Los Angeles, University of Southern California, Los Angeles, CA, USA
| | - Donald A Barkauskas
- QuadW Childhood Sarcoma Biostatistics and Annotation Office at the Children's Oncology Group, Monrovia, CA, USA.,Department of Preventive Medicine, Keck School of Medicine, University of Southern California, Los Angeles, CA, USA
| | - Tammy Lo
- QuadW Childhood Sarcoma Biostatistics and Annotation Office at the Children's Oncology Group, Monrovia, CA, USA
| | - David Hall
- QuadW Childhood Sarcoma Biostatistics and Annotation Office at the Children's Oncology Group, Monrovia, CA, USA
| | - Douglas R Stewart
- Clinical Genetics Branch, Division of Cancer Epidemiology and Genetics, National Cancer Institute, Rockville, MD, USA
| | - Joshua D Schiffman
- Departments of Pediatrics and Oncological Sciences, Huntsman Cancer Institute, University of Utah, Salt Lake City, UT, USA
| | - Stephen X Skapek
- Department of Pediatrics, the University of Texas Southwestern Medical Center, Dallas, TX, USA
| | - Douglas S Hawkins
- Division of Hematology-Oncology, Seattle Children's Hospital, University of Washington, Seattle, WA, USA
| | - Sharon E Plon
- Human Genome Sequencing Center, Baylor College of Medicine, Houston, TX, USA.,Department of Pediatrics, Section of Hematology-Oncology, Baylor College of Medicine, Houston, TX, USA.,Department of Molecular and Human Genetics, Baylor College of Medicine, Houston, TX, USA
| | - Aniko Sabo
- Human Genome Sequencing Center, Baylor College of Medicine, Houston, TX, USA
| | - Philip J Lupo
- Department of Pediatrics, Section of Hematology-Oncology, Baylor College of Medicine, Houston, TX, USA.,Dan L. Duncan Comprehensive Cancer Center, Baylor College of Medicine, Houston, TX, USA
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