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Lim BWX, Li N, Mahale S, McInerny S, Zethoven M, Rowley SM, Huynh J, Wang T, Lee JEA, Friedman M, Devereux L, Scott RJ, Sloan EK, James PA, Campbell IG. Somatic inactivation of breast cancer predisposition genes in tumors associated with pathogenic germline variants. J Natl Cancer Inst 2022; 115:181-189. [PMID: 36315097 PMCID: PMC9905963 DOI: 10.1093/jnci/djac196] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/13/2022] [Revised: 06/17/2022] [Accepted: 10/18/2022] [Indexed: 11/06/2022] Open
Abstract
BACKGROUND Breast cancers (BCs) that arise in individuals heterozygous for a germline pathogenic variant in a susceptibility gene, such as BRCA1 and BRCA2, PALB2, and RAD51C, have been shown to exhibit biallelic loss in the respective genes and be associated with triple-negative breast cancer (TNBC) and distinctive somatic mutational signatures. Tumor sequencing thus presents an orthogonal approach to assess the role of candidate genes in BC development. METHODS Exome sequencing was performed on paired normal-breast tumor DNA from 124 carriers of germline loss-of-function (LoF) or missense variant carriers in 15 known and candidate BC predisposition genes identified in the BEACCON case-control study. Biallelic inactivation and association with tumor genome features including mutational signatures and homologous recombination deficiency (HRD) score were investigated. RESULTS BARD1-carrying TNBC (4 of 5) displayed biallelic loss and associated high HRD scores and mutational signature 3, as did a RAD51D-carrying TNBC and ovarian cancer. Biallelic loss was less frequent in BRIP1 BCs (4 of 13) and had low HRD scores. In contrast to other established BC genes, BCs from carriers of CHEK2 LoF (6 of 17) or missense (2 of 20) variant had low rates of biallelic loss. Exploratory analysis of BC from carriers of LoF variants in candidate genes such as BLM, FANCM, PARP2, and RAD50 found little evidence of biallelic inactivation. CONCLUSIONS BARD1 and RAD51D behave as classic BRCA-like predisposition genes with biallelic inactivation, but this was not observed for any of the candidate genes. However, as demonstrated for CHEK2, the absence of biallelic inactivation does not provide definitive evidence against the gene's involvement in BC predisposition.
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Affiliation(s)
| | - Na Li
- Cancer Genetics Laboratory, Peter MacCallum Cancer Centre, Melbourne, Victoria, Australia,Sir Peter MacCallum Department of Oncology, The University of Melbourne, Melbourne, Victoria, Australia,Parkville Familial Cancer Centre, Peter MacCallum Cancer Centre and Royal Melbourne Hospital, Melbourne, Victoria, Australia
| | - Sakshi Mahale
- Cancer Genetics Laboratory, Peter MacCallum Cancer Centre, Melbourne, Victoria, Australia
| | - Simone McInerny
- Parkville Familial Cancer Centre, Peter MacCallum Cancer Centre and Royal Melbourne Hospital, Melbourne, Victoria, Australia
| | - Magnus Zethoven
- Cancer Genetics Laboratory, Peter MacCallum Cancer Centre, Melbourne, Victoria, Australia,Bioinformatics Core Facility, Peter MacCallum Cancer Centre, Melbourne, Victoria, Australia
| | - Simone M Rowley
- Cancer Genetics Laboratory, Peter MacCallum Cancer Centre, Melbourne, Victoria, Australia
| | - Joanne Huynh
- Cancer Genetics Laboratory, Peter MacCallum Cancer Centre, Melbourne, Victoria, Australia
| | - Theresa Wang
- Cancer Genetics Laboratory, Peter MacCallum Cancer Centre, Melbourne, Victoria, Australia,Parkville Familial Cancer Centre, Peter MacCallum Cancer Centre and Royal Melbourne Hospital, Melbourne, Victoria, Australia
| | - Jue Er Amanda Lee
- Cancer Genetics Laboratory, Peter MacCallum Cancer Centre, Melbourne, Victoria, Australia,Sir Peter MacCallum Department of Oncology, The University of Melbourne, Melbourne, Victoria, Australia,Molecular Genomics Core, Peter MacCallum Cancer Centre, Melbourne, Victoria, Australia
| | - Mia Friedman
- Cancer Genetics Laboratory, Peter MacCallum Cancer Centre, Melbourne, Victoria, Australia,Parkville Familial Cancer Centre, Peter MacCallum Cancer Centre and Royal Melbourne Hospital, Melbourne, Victoria, Australia
| | - Lisa Devereux
- Sir Peter MacCallum Department of Oncology, The University of Melbourne, Melbourne, Victoria, Australia,Lifepool, Peter MacCallum Cancer Centre, Melbourne, Victoria, Australia
| | - Rodney J Scott
- Discipline of Medical Genetics and The Centre for Cancer Detection and Therapy, The University of Newcastle and Hunter Medical Research Institute, Newcastle, New South Wales, Australia,Division of Molecular Medicine, New South Wales Health Pathology North, Newcastle, New South Wales, Australia
| | - Erica K Sloan
- Drug Discovery Biology, Monash Institute of Pharmaceutical Sciences, Monash University, Melbourne, Victoria, Australia,Division of Cancer Surgery, Peter MacCallum Cancer Centre, Melbourne, Victoria, Australia
| | | | - Ian G Campbell
- Correspondence to: Ian Campbell, PhD, Cancer Genetics Laboratory, Research Division, Peter MacCallum Cancer Centre, 305 Grattan Street, Melbourne, VIC 3000, Australia (e-mail: )
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Lim BWX, Li N, Rowley SM, Thompson ER, McInerny S, Zethoven M, Scott RJ, Devereux L, Sloan EK, James PA, Campbell IG. Integration of tumour sequencing and case-control data to assess pathogenicity of RAD51C missense variants in familial breast cancer. NPJ Breast Cancer 2022; 8:10. [PMID: 35039523 PMCID: PMC8763908 DOI: 10.1038/s41523-021-00373-y] [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] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/23/2021] [Accepted: 12/06/2021] [Indexed: 11/09/2022] Open
Abstract
While protein-truncating variants in RAD51C have been shown to predispose to triple-negative (TN) breast cancer (BC) and ovarian cancer, little is known about the pathogenicity of missense (MS) variants. The frequency of rare RAD51C MS variants was assessed in the BEACCON study of 5734 familial BC cases and 14,382 population controls, and findings were integrated with tumour sequencing data from 21 cases carrying a candidate variant. Collectively, a significant enrichment of rare MS variants was detected in cases (MAF < 0.001, OR 1.57, 95% CI 1.00-2.44, p = 0.05), particularly for variants with a REVEL score >0.5 (OR 3.95, 95% CI 1.40-12.01, p = 0.006). Sequencing of 21 tumours from 20 heterozygous and 1 homozygous carriers of nine candidate MS variants identified four cases with biallelic inactivation through loss of the wild-type allele, while six lost the variant allele and ten that remained heterozygous. Biallelic loss of the wild-type alleles corresponded strongly with ER- and TN breast tumours, high homologous recombination deficiency scores and mutational signature 3. Using this approach, the p.Gly264Ser variant, which was previously suspected to be pathogenic based on small case-control analyses and loss of activity in in vitro functional assays, was shown to be benign with similar prevalence in cases and controls and seven out of eight tumours showing no biallelic inactivation or characteristic mutational signature. Conversely, evaluation of case-control findings and tumour sequencing data identified p.Ile144Thr, p.Arg212His, p.Gln143Arg and p.Gly114Arg as variants warranting further investigation.
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Affiliation(s)
- Belle W X Lim
- Cancer Genetics Laboratory, Peter MacCallum Cancer Centre, Melbourne, VIC, Australia.,Drug Delivery Biology, Monash Institute of Pharmaceutical Sciences, Monash University, Melbourne, VIC, Australia
| | - Na Li
- Cancer Genetics Laboratory, Peter MacCallum Cancer Centre, Melbourne, VIC, Australia.,Sir Peter MacCallum Department of Oncology, The University of Melbourne, Melbourne, VIC, Australia.,Parkville Familial Cancer Centre, Peter MacCallum Cancer Centre and Royal Melbourne Hospital, Melbourne, VIC, Australia
| | - Simone M Rowley
- Cancer Genetics Laboratory, Peter MacCallum Cancer Centre, Melbourne, VIC, Australia
| | - Ella R Thompson
- Sir Peter MacCallum Department of Oncology, The University of Melbourne, Melbourne, VIC, Australia.,Department of Pathology, Peter MacCallum Cancer Centre, Melbourne, VIC, Australia
| | - Simone McInerny
- Parkville Familial Cancer Centre, Peter MacCallum Cancer Centre and Royal Melbourne Hospital, Melbourne, VIC, Australia
| | - Magnus Zethoven
- Cancer Genetics Laboratory, Peter MacCallum Cancer Centre, Melbourne, VIC, Australia.,Bioinformatics Consulting Core, Peter MacCallum Cancer Centre, Melbourne, VIC, Australia
| | - Rodney J Scott
- Discipline of Medical Genetics and Centre for Information-Based Medicine, The University of Newcastle and Hunter Medical Research Institute, Newcastle, NSW, Australia.,Division of Molecular Medicine, Pathology North, Newcastle, NSW, Australia
| | - Lisa Devereux
- Lifepool, Peter MacCallum Cancer Centre, Melbourne, VIC, Australia
| | - Erica K Sloan
- Drug Delivery Biology, Monash Institute of Pharmaceutical Sciences, Monash University, Melbourne, VIC, Australia.,Peter MacCallum Cancer Centre Division of Surgery, Melbourne, VIC, Australia
| | - Paul A James
- Sir Peter MacCallum Department of Oncology, The University of Melbourne, Melbourne, VIC, Australia.,Parkville Familial Cancer Centre, Peter MacCallum Cancer Centre and Royal Melbourne Hospital, Melbourne, VIC, Australia
| | - Ian G Campbell
- Cancer Genetics Laboratory, Peter MacCallum Cancer Centre, Melbourne, VIC, Australia. .,Sir Peter MacCallum Department of Oncology, The University of Melbourne, Melbourne, VIC, Australia. .,Lifepool, Peter MacCallum Cancer Centre, Melbourne, VIC, Australia. .,Cancer Genomics Program, Peter MacCallum Cancer Centre, Melbourne, VIC, Australia.
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3
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Cheasley D, Devereux L, Hughes S, Nickson C, Procopio P, Lee G, Li N, Pridmore V, Elder K, Bruce Mann G, Kader T, Rowley SM, Fox SB, Byrne D, Saunders H, Fujihara KM, Lim B, Gorringe KL, Campbell IG. The TP53 mutation rate differs in breast cancers that arise in women with high or low mammographic density. NPJ Breast Cancer 2020; 6:34. [PMID: 32802943 PMCID: PMC7414106 DOI: 10.1038/s41523-020-00176-7] [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] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/05/2020] [Accepted: 07/13/2020] [Indexed: 01/01/2023] Open
Abstract
Mammographic density (MD) influences breast cancer risk, but how this is mediated is unknown. Molecular differences between breast cancers arising in the context of the lowest and highest quintiles of mammographic density may identify the mechanism through which MD drives breast cancer development. Women diagnosed with invasive or in situ breast cancer where MD measurement was also available (n = 842) were identified from the Lifepool cohort of >54,000 women participating in population-based mammographic screening. This group included 142 carcinomas in the lowest quintile of MD and 119 carcinomas in the highest quintile. Clinico-pathological and family history information were recorded. Tumor DNA was collected where available (n = 56) and sequenced for breast cancer predisposition and driver gene mutations, including copy number alterations. Compared to carcinomas from low-MD breasts, those from high-MD breasts were significantly associated with a younger age at diagnosis and features associated with poor prognosis. Low- and high-MD carcinomas matched for grade, histological subtype, and hormone receptor status were compared for somatic genetic features. Low-MD carcinomas had a significantly increased frequency of TP53 mutations, higher homologous recombination deficiency, higher fraction of the genome altered, and more copy number gains on chromosome 1q and losses on 17p. While high-MD carcinomas showed enrichment of tumor-infiltrating lymphocytes in the stroma. The data demonstrate that when tumors were matched for confounding clinico-pathological features, a proportion in the lowest quintile of MD appear biologically distinct, reflective of microenvironment differences between the lowest and highest quintiles of MD.
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Affiliation(s)
- Dane Cheasley
- Cancer Genetics Laboratory, Peter MacCallum Cancer Centre, Melbourne, VIC Australia
- Sir Peter MacCallum Department of Oncology, University of Melbourne, Melbourne, VIC Australia
| | - Lisa Devereux
- Cancer Genetics Laboratory, Peter MacCallum Cancer Centre, Melbourne, VIC Australia
- Sir Peter MacCallum Department of Oncology, University of Melbourne, Melbourne, VIC Australia
- Lifepool, Peter MacCallum Cancer Centre, Melbourne, VIC Australia
| | - Siobhan Hughes
- Cancer Genetics Laboratory, Peter MacCallum Cancer Centre, Melbourne, VIC Australia
| | - Carolyn Nickson
- Centre for Epidemiology and Biostatistics, Melbourne School of Population and Global Health, University of Melbourne, Melbourne, VIC Australia
- Cancer Research Division, Cancer Council NSW, Sydney, NSW Australia
- Sydney School of Public Health, University of Sydney, Sydney, NSW Australia
| | - Pietro Procopio
- Centre for Epidemiology and Biostatistics, Melbourne School of Population and Global Health, University of Melbourne, Melbourne, VIC Australia
- Cancer Research Division, Cancer Council NSW, Sydney, NSW Australia
- Sydney School of Public Health, University of Sydney, Sydney, NSW Australia
| | - Grant Lee
- Centre for Epidemiology and Biostatistics, Melbourne School of Population and Global Health, University of Melbourne, Melbourne, VIC Australia
| | - Na Li
- Cancer Genetics Laboratory, Peter MacCallum Cancer Centre, Melbourne, VIC Australia
| | | | - Kenneth Elder
- Department of Surgery, University of Melbourne, Melbourne, VIC Australia
- The Royal Melbourne and Royal Women’s Hospitals, Parkville, VIC Australia
- The Edinburgh Breast Unit, Western General Hospital, Edinburgh, UK
| | - G. Bruce Mann
- Sir Peter MacCallum Department of Oncology, University of Melbourne, Melbourne, VIC Australia
- Department of Surgery, University of Melbourne, Melbourne, VIC Australia
- The Royal Melbourne and Royal Women’s Hospitals, Parkville, VIC Australia
| | - Tanjina Kader
- Cancer Genetics Laboratory, Peter MacCallum Cancer Centre, Melbourne, VIC Australia
- Sir Peter MacCallum Department of Oncology, University of Melbourne, Melbourne, VIC Australia
| | - Simone M. Rowley
- Cancer Genetics Laboratory, Peter MacCallum Cancer Centre, Melbourne, VIC Australia
| | - Stephen B. Fox
- Department of Pathology, Peter MacCallum Cancer Centre, and University of Melbourne, Melbourne, VIC Australia
| | - David Byrne
- Department of Pathology, Peter MacCallum Cancer Centre, and University of Melbourne, Melbourne, VIC Australia
| | - Hugo Saunders
- Cancer Genetics Laboratory, Peter MacCallum Cancer Centre, Melbourne, VIC Australia
| | - Kenji M. Fujihara
- Cancer Genetics Laboratory, Peter MacCallum Cancer Centre, Melbourne, VIC Australia
| | - Belle Lim
- Cancer Genetics Laboratory, Peter MacCallum Cancer Centre, Melbourne, VIC Australia
- Drug Discovery Biology, Monash Institute of Pharmaceutical Sciences, Monash University, Parkville, VIC, Australia
| | - Kylie L. Gorringe
- Sir Peter MacCallum Department of Oncology, University of Melbourne, Melbourne, VIC Australia
- Cancer Genetics and Genomics Program, Peter MacCallum Cancer Centre, Melbourne, VIC Australia
| | - Ian G. Campbell
- Cancer Genetics Laboratory, Peter MacCallum Cancer Centre, Melbourne, VIC Australia
- Sir Peter MacCallum Department of Oncology, University of Melbourne, Melbourne, VIC Australia
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4
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Hunter SM, Dall GV, Doyle MA, Lupat R, Li J, Allan P, Rowley SM, Bowtell D, Campbell IG, Gorringe KL. Molecular comparison of pure ovarian fibroma with serous benign ovarian tumours. BMC Res Notes 2020; 13:349. [PMID: 32698852 PMCID: PMC7376903 DOI: 10.1186/s13104-020-05194-z] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/01/2020] [Accepted: 07/17/2020] [Indexed: 01/10/2023] Open
Abstract
OBJECTIVE Ovarian fibromas and adenofibromas are rare ovarian tumours. They are benign tumours composed of spindle-like stromal cells (pure fibroma) or a mixture of fibroblast and epithelial components (adenofibroma). We have previously shown that 40% of benign serous ovarian tumours are likely primary fibromas due to the neoplastic alterations being restricted to the stromal compartment of these tumours. We further explore this finding by comparing benign serous tumours to pure fibromas. RESULTS Performing copy number aberration (CNA) analysis on the stromal component of 45 benign serous tumours and 8 pure fibromas, we have again shown that trisomy of chromosome 12 is the most common aberration in ovarian fibromas. CNAs were more frequent in the pure fibromas than the benign serous tumours (88% vs 33%), however pure fibromas more frequently harboured more than one CNA event compared with benign serous tumours. As these extra CNA events observed in the pure fibromas were unique to this subset our data indicates a unique tumour evolution. Gene expression analysis on the two cohorts was unable to show gene expression changes that differed based on tumour subtype. Exome analysis did not reveal any recurrently mutated genes.
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Affiliation(s)
- Sally M Hunter
- Cancer Genomics Program, Peter MacCallum Cancer Centre, East Melbourne, Australia
| | - Genevieve V Dall
- Cancer Genomics Program, Peter MacCallum Cancer Centre, East Melbourne, Australia
| | - Maria A Doyle
- Bioinformatics Core Facility Peter MacCallum Cancer Centre, East Melbourne, Victoria, Australia
| | - Richard Lupat
- Bioinformatics Core Facility Peter MacCallum Cancer Centre, East Melbourne, Victoria, Australia
| | - Jason Li
- Bioinformatics Core Facility Peter MacCallum Cancer Centre, East Melbourne, Victoria, Australia
| | - Prue Allan
- Anatomical Pathology, Peter MacCallum Cancer Centre, East Melbourne, Victoria, Australia
| | - Simone M Rowley
- Cancer Genomics Program, Peter MacCallum Cancer Centre, East Melbourne, Australia
| | - David Bowtell
- Cancer Genomics Program, Peter MacCallum Cancer Centre, East Melbourne, Australia.,The Department of Pathology, University of Melbourne, Parkville, Australia.,The Sir Peter MacCallum Department of Oncology, University of Melbourne, Parkville, Australia
| | | | - Ian G Campbell
- Cancer Genomics Program, Peter MacCallum Cancer Centre, East Melbourne, Australia.,The Department of Pathology, University of Melbourne, Parkville, Australia.,The Sir Peter MacCallum Department of Oncology, University of Melbourne, Parkville, Australia
| | - Kylie L Gorringe
- Cancer Genomics Program, Peter MacCallum Cancer Centre, East Melbourne, Australia. .,The Department of Pathology, University of Melbourne, Parkville, Australia. .,The Sir Peter MacCallum Department of Oncology, University of Melbourne, Parkville, Australia. .,Peter MacCallum Cancer Centre, Locked Bag 1, A'Beckett Street, Melbourne, VIC, 8006, Australia.
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5
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Li N, McInerny S, Zethoven M, Cheasley D, Lim BWX, Rowley SM, Devereux L, Grewal N, Ahmadloo S, Byrne D, Lee JEA, Li J, Fox SB, John T, Antill Y, Gorringe KL, James PA, Campbell IG. Combined Tumor Sequencing and Case-Control Analyses of RAD51C in Breast Cancer. J Natl Cancer Inst 2020; 111:1332-1338. [PMID: 30949688 DOI: 10.1093/jnci/djz045] [Citation(s) in RCA: 22] [Impact Index Per Article: 5.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/11/2018] [Revised: 02/07/2019] [Accepted: 04/03/2019] [Indexed: 12/11/2022] Open
Abstract
BACKGROUND Loss-of-function variants in RAD51C are associated with familial ovarian cancer, but its role in hereditary breast cancer remains unclear. The aim of this study was to couple breast tumor sequencing with case-control data to clarify the contribution of RAD51C to hereditary breast cancer. METHODS RAD51C was sequenced in 3080 breast cancer index cases that were negative in BRCA1/2 clinical tests and 4840 population-matched cancer-free controls. Pedigree and pathology data were analyzed. Nine breast cancers and one ovarian cancer from RAD51C variant carriers were sequenced to identify biallelic inactivation of RAD51C, copy number variation, mutational signatures, and the spectrum of somatic mutations in breast cancer driver genes. The promoter of RAD51C was analyzed for DNA methylation. RESULTS A statistically significant excess of loss-of-function variants was identified in 3080 cases (0.4%) compared with 2 among 4840 controls (0.04%; odds ratio = 8.67, 95% confidence interval = 1.89 to 80.52, P< .001), with more than half of the carriers having no personal or family history of ovarian cancer. In addition, the association was highly statistically significant among cases with estrogen-negative (P <. 001) or triple-negative cancer (P < .001), but not in estrogen-positive cases. Tumor sequencing from carriers confirmed bi-allelic inactivation in all the triple-negative cases and was associated with high homologous recombination deficiency scores and mutational signature 3 indicating homologous recombination repair deficiency. CONCLUSIONS This study provides evidence that germline loss-of-function variants of RAD51C are associated with hereditary breast cancer, particularly triple-negative type. RAD51C-null breast cancers possess similar genomic and clinical features to BRCA1-null cancers and may also be vulnerable to DNA double-strand break inducing chemotherapies and poly ADP-ribose polymerase inhibitors.
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Subramanian DN, Zethoven M, McInerny S, Morgan JA, Rowley SM, Lee JEA, Li N, Gorringe KL, James PA, Campbell IG. Exome sequencing of familial high-grade serous ovarian carcinoma reveals heterogeneity for rare candidate susceptibility genes. Nat Commun 2020; 11:1640. [PMID: 32242007 PMCID: PMC7118163 DOI: 10.1038/s41467-020-15461-z] [Citation(s) in RCA: 19] [Impact Index Per Article: 4.8] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/20/2019] [Accepted: 03/12/2020] [Indexed: 01/31/2023] Open
Abstract
High-grade serous ovarian carcinoma (HGSOC) has a significant hereditary component, approximately half of which cannot be explained by known genes. To discover genes, we analyse germline exome sequencing data from 516 BRCA1/2-negative women with HGSOC, focusing on genes enriched with rare, protein-coding loss-of-function (LoF) variants. Overall, there is a significant enrichment of rare protein-coding LoF variants in the cases (p < 0.0001, chi-squared test). Only thirty-four (6.6%) have a pathogenic variant in a known or proposed predisposition gene. Few genes have LoF mutations in more than four individuals and the majority are detected in one individual only. Forty-three highly-ranked genes are identified with three or more LoF variants that are enriched by three-fold or more compared to GnomAD. These genes represent diverse functional pathways with relatively few involved in DNA repair, suggesting that much of the remaining heritability is explained by previously under-explored genes and pathways.
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Affiliation(s)
- Deepak N Subramanian
- Cancer Genetics Laboratory, Peter MacCallum Cancer Centre, Melbourne, VIC, 3000, Australia
- Sir Peter MacCallum Department of Oncology, The University of Melbourne, Parkville, VIC, 3010, Australia
| | - Magnus Zethoven
- Bioinformatics Core Facility, Peter MacCallum Cancer Centre, Melbourne, VIC, 3000, Australia
| | - Simone McInerny
- The Parkville Familial Cancer Centre, Peter MacCallum Cancer Centre and The Royal Melbourne Hospital, Melbourne, VIC, 3000, Australia
| | - James A Morgan
- The Parkville Familial Cancer Centre, Peter MacCallum Cancer Centre and The Royal Melbourne Hospital, Melbourne, VIC, 3000, Australia
| | - Simone M Rowley
- Cancer Genetics Laboratory, Peter MacCallum Cancer Centre, Melbourne, VIC, 3000, Australia
| | - Jue Er Amanda Lee
- Cancer Genetics Laboratory, Peter MacCallum Cancer Centre, Melbourne, VIC, 3000, Australia
- Sir Peter MacCallum Department of Oncology, The University of Melbourne, Parkville, VIC, 3010, Australia
| | - Na Li
- Cancer Genetics Laboratory, Peter MacCallum Cancer Centre, Melbourne, VIC, 3000, Australia
- Sir Peter MacCallum Department of Oncology, The University of Melbourne, Parkville, VIC, 3010, Australia
| | - Kylie L Gorringe
- Sir Peter MacCallum Department of Oncology, The University of Melbourne, Parkville, VIC, 3010, Australia
| | - Paul A James
- Cancer Genetics Laboratory, Peter MacCallum Cancer Centre, Melbourne, VIC, 3000, Australia
- Sir Peter MacCallum Department of Oncology, The University of Melbourne, Parkville, VIC, 3010, Australia
- The Parkville Familial Cancer Centre, Peter MacCallum Cancer Centre and The Royal Melbourne Hospital, Melbourne, VIC, 3000, Australia
| | - Ian G Campbell
- Cancer Genetics Laboratory, Peter MacCallum Cancer Centre, Melbourne, VIC, 3000, Australia.
- Sir Peter MacCallum Department of Oncology, The University of Melbourne, Parkville, VIC, 3010, Australia.
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7
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Kader T, Elder K, Zethoven M, Semple T, Hill P, Goode DL, Thio N, Cheasley D, Rowley SM, Byrne DJ, Pang JM, Miligy IM, Green AR, Rakha EA, Fox SB, Mann GB, Campbell IG, Gorringe KL. The genetic architecture of breast papillary lesions as a predictor of progression to carcinoma. NPJ Breast Cancer 2020; 6:9. [PMID: 32195332 PMCID: PMC7067788 DOI: 10.1038/s41523-020-0150-6] [Citation(s) in RCA: 15] [Impact Index Per Article: 3.8] [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: 08/14/2019] [Accepted: 02/13/2020] [Indexed: 12/11/2022] Open
Abstract
Intraductal papillomas (IDP) are challenging breast findings because of their variable risk of progression to malignancy. The molecular events driving IDP development and genomic features of malignant progression are poorly understood. In this study, genome-wide CNA and/or targeted mutation analysis was performed on 44 cases of IDP, of which 20 cases had coexisting ductal carcinoma in situ (DCIS), papillary DCIS or invasive ductal carcinoma (IDC). CNA were rare in pure IDP, but 69% carried an activating PIK3CA mutation. Among the synchronous IDP cases, 55% (11/20) were clonally related to the synchronous DCIS and/or IDC, only one of which had papillary histology. In contrast to pure IDP, PIK3CA mutations were absent from clonal cases. CNAs in any of chromosomes 1, 16 or 11 were significantly enriched in clonal IDP lesions compared to pure and non-clonal IDP. The observation that 55% of IDP are clonal to DCIS/IDC indicates that IDP can be a direct precursor for breast carcinoma, not limited to the papillary type. The absence of PIK3CA mutations and presence of CNAs in IDP could be used clinically to identify patients at high risk of progression to carcinoma.
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Affiliation(s)
- Tanjina Kader
- Peter MacCallum Cancer Centre, Melbourne, VIC Australia
- The Sir Peter MacCallum Department of Oncology, University of Melbourne, Parkville, VIC Australia
| | - Kenneth Elder
- The Breast Service, The Royal Women’s Hospital, Fitzroy, VIC Australia
| | | | | | - Prue Hill
- Department of Anatomical Pathology, St Vincent’s Hospital, Fitzroy, VIC Australia
| | - David L. Goode
- Peter MacCallum Cancer Centre, Melbourne, VIC Australia
- The Sir Peter MacCallum Department of Oncology, University of Melbourne, Parkville, VIC Australia
| | - Niko Thio
- Peter MacCallum Cancer Centre, Melbourne, VIC Australia
| | - Dane Cheasley
- Peter MacCallum Cancer Centre, Melbourne, VIC Australia
| | | | | | - Jia-Min Pang
- Peter MacCallum Cancer Centre, Melbourne, VIC Australia
| | - Islam M. Miligy
- Nottingham Breast Cancer Research Centre, Division of Cancer and Stem Cells, School of Medicine, University of Nottingham and Nottingham University Hospitals NHS Trust, City Hospital, Nottingham, UK
| | - Andrew R. Green
- Nottingham Breast Cancer Research Centre, Division of Cancer and Stem Cells, School of Medicine, University of Nottingham and Nottingham University Hospitals NHS Trust, City Hospital, Nottingham, UK
| | - Emad A. Rakha
- Nottingham Breast Cancer Research Centre, Division of Cancer and Stem Cells, School of Medicine, University of Nottingham and Nottingham University Hospitals NHS Trust, City Hospital, Nottingham, UK
| | | | - G. Bruce Mann
- The Breast Service, The Royal Women’s Hospital, Fitzroy, VIC Australia
| | - Ian G. Campbell
- Peter MacCallum Cancer Centre, Melbourne, VIC Australia
- The Sir Peter MacCallum Department of Oncology, University of Melbourne, Parkville, VIC Australia
- Department of Clinical Pathology, University of Melbourne, Parkville, VIC Australia
| | - Kylie L. Gorringe
- Peter MacCallum Cancer Centre, Melbourne, VIC Australia
- The Sir Peter MacCallum Department of Oncology, University of Melbourne, Parkville, VIC Australia
- Department of Clinical Pathology, University of Melbourne, Parkville, VIC Australia
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8
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Gorringe KL, Cheasley D, Wakefield MJ, Ryland GL, Allan PE, Alsop K, Amarasinghe KC, Ananda S, Bowtell DDL, Christie M, Chiew YE, Churchman M, DeFazio A, Fereday S, Gilks CB, Gourley C, Hadley AM, Hendley J, Hunter SM, Kaufmann SH, Kennedy CJ, Köbel M, Le Page C, Li J, Lupat R, McNally OM, McAlpine JN, Pyman J, Rowley SM, Salazar C, Saunders H, Semple T, Stephens AN, Thio N, Torres MC, Traficante N, Zethoven M, Antill YC, Campbell IG, Scott CL. Therapeutic options for mucinous ovarian carcinoma. Gynecol Oncol 2020; 156:552-560. [PMID: 31902686 PMCID: PMC7056511 DOI: 10.1016/j.ygyno.2019.12.015] [Citation(s) in RCA: 42] [Impact Index Per Article: 10.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/09/2019] [Revised: 11/18/2019] [Accepted: 12/15/2019] [Indexed: 12/21/2022]
Abstract
OBJECTIVE Mucinous ovarian carcinoma (MOC) is an uncommon ovarian cancer histotype that responds poorly to conventional chemotherapy regimens. Although long overall survival outcomes can occur with early detection and optimal surgical resection, recurrent and advanced disease are associated with extremely poor survival. There are no current guidelines specifically for the systemic management of recurrent MOC. We analyzed data from a large cohort of women with MOC to evaluate the potential for clinical utility from a range of systemic agents. METHODS We analyzed gene copy number (n = 191) and DNA sequencing data (n = 184) from primary MOC to evaluate signatures of mismatch repair deficiency and homologous recombination deficiency, and other genetic events. Immunohistochemistry data were collated for ER, CK7, CK20, CDX2, HER2, PAX8 and p16 (n = 117-166). RESULTS Molecular aberrations noted in MOC that suggest a match with current targeted therapies include amplification of ERBB2 (26.7%) and BRAF mutation (9%). Observed genetic events that suggest potential efficacy for agents currently in clinical trials include: KRAS/NRAS mutations (66%), TP53 missense mutation (49%), RNF43 mutation (11%), ARID1A mutation (10%), and PIK3CA/PTEN mutation (9%). Therapies exploiting homologous recombination deficiency (HRD) may not be effective in MOC, as only 1/191 had a high HRD score. Mismatch repair deficiency was similarly rare (1/184). CONCLUSIONS Although genetically diverse, MOC has several potential therapeutic targets. Importantly, the lack of response to platinum-based therapy observed clinically corresponds to the lack of a genomic signature associated with HRD, and MOC are thus also unlikely to respond to PARP inhibition.
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Affiliation(s)
- Kylie L Gorringe
- Peter MacCallum Cancer Centre, Melbourne, Australia; The University of Melbourne, Melbourne, Australia.
| | - Dane Cheasley
- Peter MacCallum Cancer Centre, Melbourne, Australia; The University of Melbourne, Melbourne, Australia
| | - Matthew J Wakefield
- The University of Melbourne, Melbourne, Australia; Walter and Eliza Hall Institute of Medical Research, Parkville, Australia
| | | | - Prue E Allan
- Peter MacCallum Cancer Centre, Melbourne, Australia
| | - Kathryn Alsop
- Peter MacCallum Cancer Centre, Melbourne, Australia; The University of Melbourne, Melbourne, Australia
| | | | - Sumitra Ananda
- Peter MacCallum Cancer Centre, Melbourne, Australia; Western Health, St. Albans, Australia
| | - David D L Bowtell
- Peter MacCallum Cancer Centre, Melbourne, Australia; The University of Melbourne, Melbourne, Australia
| | - Michael Christie
- The University of Melbourne, Melbourne, Australia; Royal Melbourne Hospital, Parkville, Australia
| | - Yoke-Eng Chiew
- Department of Gynaecological Oncology, Westmead Hospital, Sydney, Australia; The Westmead Institute for Medical Research, Sydney, Australia
| | - Michael Churchman
- Nicola Murray Centre for Ovarian Cancer Research, Cancer Research UK Edinburgh Centre, University of Edinburgh, UK
| | - Anna DeFazio
- Department of Gynaecological Oncology, Westmead Hospital, Sydney, Australia; The Westmead Institute for Medical Research, Sydney, Australia; The University of Sydney, Sydney, Australia
| | - Sian Fereday
- Peter MacCallum Cancer Centre, Melbourne, Australia; The University of Melbourne, Melbourne, Australia
| | | | - Charlie Gourley
- Nicola Murray Centre for Ovarian Cancer Research, Cancer Research UK Edinburgh Centre, University of Edinburgh, UK
| | | | - Joy Hendley
- Peter MacCallum Cancer Centre, Melbourne, Australia
| | | | | | | | | | | | - Jason Li
- Peter MacCallum Cancer Centre, Melbourne, Australia
| | | | - Orla M McNally
- Walter and Eliza Hall Institute of Medical Research, Parkville, Australia; Royal Womens Hospital, Parkville, Australia
| | | | - Jan Pyman
- Royal Womens Hospital, Parkville, Australia; Royal Children's Hospital, Flemington, Australia
| | | | | | | | | | | | - Niko Thio
- Peter MacCallum Cancer Centre, Melbourne, Australia
| | | | - Nadia Traficante
- Peter MacCallum Cancer Centre, Melbourne, Australia; The University of Melbourne, Melbourne, Australia
| | | | - Yoland C Antill
- Cabrini Health, Malvern, Australia; Frankston Hospital, Frankston, Australia
| | - Ian G Campbell
- Peter MacCallum Cancer Centre, Melbourne, Australia; The University of Melbourne, Melbourne, Australia
| | - Clare L Scott
- Peter MacCallum Cancer Centre, Melbourne, Australia; The University of Melbourne, Melbourne, Australia; Walter and Eliza Hall Institute of Medical Research, Parkville, Australia; Royal Melbourne Hospital, Parkville, Australia; Royal Womens Hospital, Parkville, Australia
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9
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Cheasley D, Wakefield MJ, Ryland GL, Allan PE, Alsop K, Amarasinghe KC, Ananda S, Anglesio MS, Au-Yeung G, Böhm M, Bowtell DDL, Brand A, Chenevix-Trench G, Christie M, Chiew YE, Churchman M, DeFazio A, Demeo R, Dudley R, Fairweather N, Fedele CG, Fereday S, Fox SB, Gilks CB, Gourley C, Hacker NF, Hadley AM, Hendley J, Ho GY, Hughes S, Hunstman DG, Hunter SM, Jobling TW, Kalli KR, Kaufmann SH, Kennedy CJ, Köbel M, Le Page C, Li J, Lupat R, McNally OM, McAlpine JN, Mes-Masson AM, Mileshkin L, Provencher DM, Pyman J, Rahimi K, Rowley SM, Salazar C, Samimi G, Saunders H, Semple T, Sharma R, Sharpe AJ, Stephens AN, Thio N, Torres MC, Traficante N, Xing Z, Zethoven M, Antill YC, Scott CL, Campbell IG, Gorringe KL. The molecular origin and taxonomy of mucinous ovarian carcinoma. Nat Commun 2019; 10:3935. [PMID: 31477716 PMCID: PMC6718426 DOI: 10.1038/s41467-019-11862-x] [Citation(s) in RCA: 88] [Impact Index Per Article: 17.6] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/11/2018] [Accepted: 08/07/2019] [Indexed: 02/03/2023] Open
Abstract
Mucinous ovarian carcinoma (MOC) is a unique subtype of ovarian cancer with an uncertain etiology, including whether it genuinely arises at the ovary or is metastatic disease from other organs. In addition, the molecular drivers of invasive progression, high-grade and metastatic disease are poorly defined. We perform genetic analysis of MOC across all histological grades, including benign and borderline mucinous ovarian tumors, and compare these to tumors from other potential extra-ovarian sites of origin. Here we show that MOC is distinct from tumors from other sites and supports a progressive model of evolution from borderline precursors to high-grade invasive MOC. Key drivers of progression identified are TP53 mutation and copy number aberrations, including a notable amplicon on 9p13. High copy number aberration burden is associated with worse prognosis in MOC. Our data conclusively demonstrate that MOC arise from benign and borderline precursors at the ovary and are not extra-ovarian metastases.
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Affiliation(s)
| | - Matthew J Wakefield
- Walter and Eliza Hall Institute, Parkville, Australia
- The University of Melbourne, Melbourne, Australia
| | | | - Prue E Allan
- Peter MacCallum Cancer Centre, Melbourne, Australia
| | - Kathryn Alsop
- Peter MacCallum Cancer Centre, Melbourne, Australia
- The University of Melbourne, Melbourne, Australia
| | | | - Sumitra Ananda
- Peter MacCallum Cancer Centre, Melbourne, Australia
- Western Health, St. Albans, Australia
| | | | - George Au-Yeung
- Peter MacCallum Cancer Centre, Melbourne, Australia
- The University of Melbourne, Melbourne, Australia
| | - Maret Böhm
- Kinghorn Cancer Centre and Garvan Institute of Medical Research, Darlinghurst, Australia
| | - David D L Bowtell
- Peter MacCallum Cancer Centre, Melbourne, Australia
- The University of Melbourne, Melbourne, Australia
| | - Alison Brand
- Westmead Hospital, University of Sydney, Sydney, Australia
| | | | - Michael Christie
- The University of Melbourne, Melbourne, Australia
- Royal Melbourne Hospital, Parkville, Australia
| | - Yoke-Eng Chiew
- Westmead Hospital, University of Sydney, Sydney, Australia
| | - Michael Churchman
- Nicola Murray Centre for Ovarian Cancer Research, Cancer Research UK Edinburgh Centre, University of Edinburgh, Edinburgh, UK
| | - Anna DeFazio
- Westmead Hospital, University of Sydney, Sydney, Australia
| | - Renee Demeo
- Peter MacCallum Cancer Centre, Melbourne, Australia
| | | | | | - Clare G Fedele
- Peter MacCallum Cancer Centre, Melbourne, Australia
- The University of Melbourne, Melbourne, Australia
| | - Sian Fereday
- Peter MacCallum Cancer Centre, Melbourne, Australia
- The University of Melbourne, Melbourne, Australia
| | - Stephen B Fox
- Peter MacCallum Cancer Centre, Melbourne, Australia
- The University of Melbourne, Melbourne, Australia
| | | | - Charlie Gourley
- Nicola Murray Centre for Ovarian Cancer Research, Cancer Research UK Edinburgh Centre, University of Edinburgh, Edinburgh, UK
| | | | | | - Joy Hendley
- Peter MacCallum Cancer Centre, Melbourne, Australia
| | - Gwo-Yaw Ho
- Walter and Eliza Hall Institute, Parkville, Australia
| | | | | | | | | | | | | | | | | | | | - Jason Li
- Peter MacCallum Cancer Centre, Melbourne, Australia
| | | | - Orla M McNally
- The University of Melbourne, Melbourne, Australia
- Royal Womens Hospital, Parkville, Australia
| | | | | | | | - Diane M Provencher
- CRCHUM, Montreal, Canada
- Centre Hospitalier de L'Université de Montreal, Montreal, Canada
| | - Jan Pyman
- Royal Womens Hospital, Parkville, Australia
- Royal Children's Hospital, Flemington, Australia
| | - Kurosh Rahimi
- CRCHUM, Montreal, Canada
- Centre Hospitalier de L'Université de Montreal, Montreal, Canada
| | | | | | - Goli Samimi
- Kinghorn Cancer Centre and Garvan Institute of Medical Research, Darlinghurst, Australia
| | | | | | - Ragwha Sharma
- Westmead Hospital, University of Sydney, Sydney, Australia
- NSW Health Pathology, Sydney, Australia
| | | | | | - Niko Thio
- Peter MacCallum Cancer Centre, Melbourne, Australia
| | | | - Nadia Traficante
- Peter MacCallum Cancer Centre, Melbourne, Australia
- The University of Melbourne, Melbourne, Australia
| | | | | | - Yoland C Antill
- Cabrini Health, Malvern, Australia
- Frankston Hospital, Frankston, Australia
| | - Clare L Scott
- Peter MacCallum Cancer Centre, Melbourne, Australia
- Walter and Eliza Hall Institute, Parkville, Australia
- The University of Melbourne, Melbourne, Australia
- Royal Melbourne Hospital, Parkville, Australia
| | - Ian G Campbell
- Peter MacCallum Cancer Centre, Melbourne, Australia
- The University of Melbourne, Melbourne, Australia
| | - Kylie L Gorringe
- Peter MacCallum Cancer Centre, Melbourne, Australia.
- The University of Melbourne, Melbourne, Australia.
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10
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Cheasley D, Li N, Rowley SM, Elder K, Mann GB, Loi S, Savas P, Goode DL, Kader T, Zethoven M, Semple T, Fox SB, Pang JM, Byrne D, Devereux L, Nickson C, Procopio P, Lee G, Hughes S, Saunders H, Fujihara KM, Kuykhoven K, Connaughton J, James PA, Gorringe KL, Campbell IG. Molecular comparison of interval and screen-detected breast cancers. J Pathol 2019; 248:243-252. [PMID: 30746706 DOI: 10.1002/path.5251] [Citation(s) in RCA: 10] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/27/2018] [Revised: 01/15/2019] [Accepted: 01/30/2019] [Indexed: 01/22/2023]
Abstract
Breast cancer (BC) diagnosed after a negative mammogram but prior to the next screening episode is termed an 'interval BC' (IBC). Understanding the molecular differences between IBC and screen-detected BCs (SDBC) could improve mammographic screening and management options. Therefore, we assessed both germline and somatic genomic aberrations in a prospective cohort. Utilising the Lifepool cohort of >54 000 women attending mammographic screening programs, 930 BC cases with screening status were identified (726 SDBC and 204 IBC). Clinico-pathological and family history information were recorded. Germline and tumour DNA were collected where available and sequenced for BC predisposition and driver gene mutations. Compared to SDBC, IBCs were significantly associated with a younger age at diagnosis and tumour characteristics associated with worse prognosis. Germline DNA assessment of BC cases that developed post-enrolment (276 SDBCs and 77 IBCs) for pathogenic mutations in 12 hereditary BC predisposition genes identified 8 carriers (2.27%). The germline mutation frequency was higher in IBC versus SDBC, although not statistically significant (3.90% versus 1.81%, p = 0.174). Comparing somatic genetic features of IBC and SDBC matched for grade, histological subtype and hormone receptor revealed no significant differences, with the exception of higher homologous recombination deficiency scores in IBC, and copy number changes on chromosome Xq in triple negative SDBCs. Our data demonstrates that while IBCs are clinically more aggressive than SDBC, when matched for confounding clinico-pathological features they do not represent a unique molecular class of invasive BC, but could be a consequence of timing of tumour initiation and mammographic screening. Copyright © 2019 Pathological Society of Great Britain and Ireland. Published by John Wiley & Sons, Ltd.
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Affiliation(s)
- Dane Cheasley
- Cancer Genetics Laboratory, Peter MacCallum Cancer Centre, Melbourne, Victoria, Australia.,Sir Peter MacCallum Department of Oncology, University of Melbourne, Melbourne, Victoria, Australia
| | - Na Li
- Cancer Genetics Laboratory, Peter MacCallum Cancer Centre, Melbourne, Victoria, Australia.,Sir Peter MacCallum Department of Oncology, University of Melbourne, Melbourne, Victoria, Australia
| | - Simone M Rowley
- Cancer Genetics Laboratory, Peter MacCallum Cancer Centre, Melbourne, Victoria, Australia
| | - Kenneth Elder
- Department of Surgery, University of Melbourne, Melbourne, Victoria, Australia.,The Royal Melbourne and Royal Women's Hospitals, Parkville, Victoria, Australia.,The Edinburgh Breast Unit, Western General Hospital, Edinburgh, UK
| | - G Bruce Mann
- Department of Surgery, University of Melbourne, Melbourne, Victoria, Australia.,The Royal Melbourne and Royal Women's Hospitals, Parkville, Victoria, Australia
| | - Sherene Loi
- Sir Peter MacCallum Department of Oncology, University of Melbourne, Melbourne, Victoria, Australia.,Division of Clinical Medicine and Research, Peter MacCallum Cancer Centre, Melbourne, Victoria, Australia
| | - Peter Savas
- Sir Peter MacCallum Department of Oncology, University of Melbourne, Melbourne, Victoria, Australia.,Division of Clinical Medicine and Research, Peter MacCallum Cancer Centre, Melbourne, Victoria, Australia
| | - David L Goode
- Sir Peter MacCallum Department of Oncology, University of Melbourne, Melbourne, Victoria, Australia
| | - Tanjina Kader
- Cancer Genetics Laboratory, Peter MacCallum Cancer Centre, Melbourne, Victoria, Australia
| | - Magnus Zethoven
- Bioinformatics Consulting Core, Peter MacCallum Cancer Centre, Melbourne, Victoria, Australia
| | - Tim Semple
- Genomics Core, Peter MacCallum Cancer Centre, Melbourne, Victoria, Australia
| | - Stephen B Fox
- Department of Pathology, Peter MacCallum Cancer Centre, and University of Melbourne, Melbourne, Victoria, Australia
| | - Jia-Min Pang
- Department of Pathology, Peter MacCallum Cancer Centre, and University of Melbourne, Melbourne, Victoria, Australia
| | - David Byrne
- Department of Pathology, Peter MacCallum Cancer Centre, and University of Melbourne, Melbourne, Victoria, Australia
| | - Lisa Devereux
- Cancer Genetics Laboratory, Peter MacCallum Cancer Centre, Melbourne, Victoria, Australia.,Lifepool, Peter MacCallum Cancer Centre, Melbourne, Victoria, Australia
| | - Carolyn Nickson
- Centre for Epidemiology and Biostatistics, Melbourne School of Population and Global Health, The University of Melbourne, Melbourne, Victoria, Australia
| | - Pietro Procopio
- Centre for Epidemiology and Biostatistics, Melbourne School of Population and Global Health, The University of Melbourne, Melbourne, Victoria, Australia
| | - Grant Lee
- Centre for Epidemiology and Biostatistics, Melbourne School of Population and Global Health, The University of Melbourne, Melbourne, Victoria, Australia
| | - Siobhan Hughes
- Cancer Genetics Laboratory, Peter MacCallum Cancer Centre, Melbourne, Victoria, Australia
| | - Hugo Saunders
- Cancer Genetics Laboratory, Peter MacCallum Cancer Centre, Melbourne, Victoria, Australia
| | - Kenji M Fujihara
- Cancer Genetics Laboratory, Peter MacCallum Cancer Centre, Melbourne, Victoria, Australia
| | - Keilly Kuykhoven
- Cancer Genetics Laboratory, Peter MacCallum Cancer Centre, Melbourne, Victoria, Australia
| | - Jacquie Connaughton
- Cancer Genetics Laboratory, Peter MacCallum Cancer Centre, Melbourne, Victoria, Australia
| | - Paul A James
- Sir Peter MacCallum Department of Oncology, University of Melbourne, Melbourne, Victoria, Australia.,Parkville Familial Cancer Centre, Peter MacCallum Cancer Centre and Royal Melbourne Hospital, Melbourne, Victoria, Australia
| | - Kylie L Gorringe
- Sir Peter MacCallum Department of Oncology, University of Melbourne, Melbourne, Victoria, Australia.,Cancer Genetics and Genomics Program, Peter MacCallum Cancer Centre, Melbourne, Victoria, Australia
| | - Ian G Campbell
- Cancer Genetics Laboratory, Peter MacCallum Cancer Centre, Melbourne, Victoria, Australia.,Sir Peter MacCallum Department of Oncology, University of Melbourne, Melbourne, Victoria, Australia
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11
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Alexiadis M, Rowley SM, Chu S, Leung DT, Stewart CJ, Amarasinghe KC, Campbell IG, Fuller PJ. Mutational Landscape of Ovarian Adult Granulosa Cell Tumors from Whole Exome and Targeted TERT Promoter Sequencing. Mol Cancer Res 2018; 17:177-185. [DOI: 10.1158/1541-7786.mcr-18-0359] [Citation(s) in RCA: 27] [Impact Index Per Article: 4.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/11/2018] [Revised: 06/11/2018] [Accepted: 08/17/2018] [Indexed: 11/16/2022]
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12
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Lee JEA, Li N, Rowley SM, Cheasley D, Zethoven M, McInerny S, Gorringe KL, James PA, Campbell IG. Molecular analysis of PALB2-associated breast cancers. J Pathol 2018; 245:53-60. [PMID: 29431189 DOI: 10.1002/path.5055] [Citation(s) in RCA: 23] [Impact Index Per Article: 3.8] [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: 09/25/2017] [Revised: 01/22/2018] [Accepted: 02/05/2018] [Indexed: 12/15/2022]
Abstract
PALB2 is established as the most clinically important moderate to high penetrance breast cancer predisposition gene after BRCA1 and BRCA2. Mutations in classical familial cancer predisposition genes are presumed to be recessive at the cellular level and therefore a second inactivating somatic mutation is required in the tumour tissue. However, from the limited data that exist, PALB2 may be an example of a cancer predisposition gene that does not conform to Knudson's 'two hit' paradigm. We conducted genome-wide copy number analysis and targeted sequencing of PALB2 and other breast cancer driver genes in 15 invasive breast cancers from individuals carrying pathogenic germline mutations in PALB2. The majority of cancers showed clear evidence of bi-allelic inactivation of PALB2 (10/15) either as loss of heterozygosity involving the wild-type allele (six tumours) or as somatic point mutations (four tumours). All PALB2-null cancers had high homologous recombination deficiency (HRD) scores consistent with a homologous recombination repair deficiency. Interestingly, all but one of the PALB2 heterozygous cancers also had high HRD scores, suggesting that alternative mechanisms of PALB2 functional loss might be operating in these cancers. Our findings demonstrate that PALB2 does undergo bi-allelic inactivation in the majority of breast cancers from PALB2 germline mutation carriers. This feature has implications for the discovery of new moderate to high penetrance breast cancer predisposition genes as it supports using the existence of a 'second hit' and mutation signatures as important search criteria. Copyright © 2018 Pathological Society of Great Britain and Ireland. Published by John Wiley & Sons, Ltd.
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Affiliation(s)
- Jue Er Amanda Lee
- Cancer Genetics Laboratory, Peter MacCallum Cancer Centre, Melbourne, Victoria, Australia
| | - Na Li
- Cancer Genetics Laboratory, Peter MacCallum Cancer Centre, Melbourne, Victoria, Australia.,Cancer Biology Medical Center, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei, PR China.,Sir Peter MacCallum Department of Oncology, University of Melbourne, Melbourne, Victoria, Australia
| | - Simone M Rowley
- Cancer Genetics Laboratory, Peter MacCallum Cancer Centre, Melbourne, Victoria, Australia
| | - Dane Cheasley
- Cancer Genetics Laboratory, Peter MacCallum Cancer Centre, Melbourne, Victoria, Australia.,Sir Peter MacCallum Department of Oncology, University of Melbourne, Melbourne, Victoria, Australia
| | - Magnus Zethoven
- Bioinformatics Consulting Core, Peter MacCallum Cancer Centre, Melbourne, Victoria, Australia
| | - Simone McInerny
- Parkville Familial Cancer Centre, Peter MacCallum Cancer Centre and Royal Melbourne Hospital, Melbourne, Victoria, Australia
| | - Kylie L Gorringe
- Sir Peter MacCallum Department of Oncology, University of Melbourne, Melbourne, Victoria, Australia.,Cancer Genomics Program, Peter MacCallum Cancer Centre, Melbourne, Victoria, Australia.,Department of Pathology, University of Melbourne, Melbourne, Victoria, Australia
| | - Paul A James
- Sir Peter MacCallum Department of Oncology, University of Melbourne, Melbourne, Victoria, Australia.,Parkville Familial Cancer Centre, Peter MacCallum Cancer Centre and Royal Melbourne Hospital, Melbourne, Victoria, Australia
| | - Ian G Campbell
- Cancer Genetics Laboratory, Peter MacCallum Cancer Centre, Melbourne, Victoria, Australia.,Sir Peter MacCallum Department of Oncology, University of Melbourne, Melbourne, Victoria, Australia.,Department of Pathology, University of Melbourne, Melbourne, Victoria, Australia
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13
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Li N, Rowley SM, Thompson ER, McInerny S, Devereux L, Amarasinghe KC, Zethoven M, Lupat R, Goode D, Li J, Trainer AH, Gorringe KL, James PA, Campbell IG. Evaluating the breast cancer predisposition role of rare variants in genes associated with low-penetrance breast cancer risk SNPs. Breast Cancer Res 2018; 20:3. [PMID: 29316957 PMCID: PMC5761188 DOI: 10.1186/s13058-017-0929-z] [Citation(s) in RCA: 16] [Impact Index Per Article: 2.7] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/26/2017] [Accepted: 12/20/2017] [Indexed: 12/30/2022] Open
Abstract
Background Genome-wide association studies (GWASs) have identified numerous single-nucleotide polymorphisms (SNPs) associated with small increases in breast cancer risk. Studies to date suggest that some SNPs alter the expression of the associated genes, which potentially mediates risk modification. On this basis, we hypothesised that some of these genes may be enriched for rare coding variants associated with a higher breast cancer risk. Methods The coding regions and exon-intron boundaries of 56 genes that have either been proposed by GWASs to be the regulatory targets of the SNPs and/or located < 500 kb from the risk SNPs were sequenced in index cases from 1043 familial breast cancer families that previously had negative test results for BRCA1 and BRCA2 mutations and 944 population-matched cancer-free control participants from an Australian population. Rare (minor allele frequency ≤ 0.001 in the Exome Aggregation Consortium and Exome Variant Server databases) loss-of-function (LoF) and missense variants were studied. Results LoF variants were rare in both the cases and control participants across all the candidate genes, with only 38 different LoF variants observed in a total of 39 carriers. For the majority of genes (n = 36), no LoF variants were detected in either the case or control cohorts. No individual gene showed a significant excess of LoF or missense variants in the cases compared with control participants. Among all candidate genes as a group, the total number of carriers with LoF variants was higher in the cases than in the control participants (26 cases and 13 control participants), as was the total number of carriers with missense variants (406 versus 353), but neither reached statistical significance (p = 0.077 and p = 0.512, respectively). The genes contributing most of the excess of LoF variants in the cases included TET2, NRIP1, RAD51B and SNX32 (12 cases versus 2 control participants), whereas ZNF283 and CASP8 contributed largely to the excess of missense variants (25 cases versus 8 control participants). Conclusions Our data suggest that rare LoF and missense variants in genes associated with low-penetrance breast cancer risk SNPs may contribute some additional risk, but as a group these genes are unlikely to be major contributors to breast cancer heritability. Electronic supplementary material The online version of this article (doi:10.1186/s13058-017-0929-z) contains supplementary material, which is available to authorized users.
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Affiliation(s)
- Na Li
- Cancer Genetics Laboratory, Research Division, Peter MacCallum Cancer Centre, 305 Grattan Street, Melbourne, VIC, 3000, Australia.,Sir Peter MacCallum Department of Oncology, The University of Melbourne, Melbourne, VIC, Australia
| | - Simone M Rowley
- Cancer Genetics Laboratory, Research Division, Peter MacCallum Cancer Centre, 305 Grattan Street, Melbourne, VIC, 3000, Australia
| | - Ella R Thompson
- Cancer Genetics Laboratory, Research Division, Peter MacCallum Cancer Centre, 305 Grattan Street, Melbourne, VIC, 3000, Australia.,Sir Peter MacCallum Department of Oncology, The University of Melbourne, Melbourne, VIC, Australia.,Department of Pathology, Peter MacCallum Cancer Centre, Melbourne, VIC, Australia
| | - Simone McInerny
- Parkville Familial Cancer Centre, Peter MacCallum Cancer Centre and Royal Melbourne Hospital, Melbourne, VIC, Australia
| | - Lisa Devereux
- Cancer Genetics Laboratory, Research Division, Peter MacCallum Cancer Centre, 305 Grattan Street, Melbourne, VIC, 3000, Australia.,LifePool, Peter MacCallum Cancer Centre, Melbourne, VIC, Australia
| | - Kaushalya C Amarasinghe
- Bioinformatics & Cancer Genomics Laboratory, Peter MacCallum Cancer Centre, Melbourne, VIC, Australia
| | - Magnus Zethoven
- Bioinformatics & Cancer Genomics Laboratory, Peter MacCallum Cancer Centre, Melbourne, VIC, Australia
| | - Richard Lupat
- Bioinformatics & Cancer Genomics Laboratory, Peter MacCallum Cancer Centre, Melbourne, VIC, Australia
| | - David Goode
- Cancer Genetics Laboratory, Research Division, Peter MacCallum Cancer Centre, 305 Grattan Street, Melbourne, VIC, 3000, Australia.,Bioinformatics Core Facility, Peter MacCallum Cancer Centre, Melbourne, VIC, Australia
| | - Jason Li
- Sir Peter MacCallum Department of Oncology, The University of Melbourne, Melbourne, VIC, Australia.,Bioinformatics & Cancer Genomics Laboratory, Peter MacCallum Cancer Centre, Melbourne, VIC, Australia
| | - Alison H Trainer
- Cancer Genetics Laboratory, Research Division, Peter MacCallum Cancer Centre, 305 Grattan Street, Melbourne, VIC, 3000, Australia.,Parkville Familial Cancer Centre, Peter MacCallum Cancer Centre and Royal Melbourne Hospital, Melbourne, VIC, Australia.,Department of Pathology, University of Melbourne, Melbourne, VIC, Australia
| | - Kylie L Gorringe
- Sir Peter MacCallum Department of Oncology, The University of Melbourne, Melbourne, VIC, Australia.,Department of Pathology, University of Melbourne, Melbourne, VIC, Australia.,Cancer Genomics Program, Peter MacCallum Cancer Centre, Melbourne, VIC, Australia
| | - Paul A James
- Cancer Genetics Laboratory, Research Division, Peter MacCallum Cancer Centre, 305 Grattan Street, Melbourne, VIC, 3000, Australia.,Sir Peter MacCallum Department of Oncology, The University of Melbourne, Melbourne, VIC, Australia.,Parkville Familial Cancer Centre, Peter MacCallum Cancer Centre and Royal Melbourne Hospital, Melbourne, VIC, Australia.,Department of Pathology, University of Melbourne, Melbourne, VIC, Australia
| | - Ian G Campbell
- Cancer Genetics Laboratory, Research Division, Peter MacCallum Cancer Centre, 305 Grattan Street, Melbourne, VIC, 3000, Australia. .,Sir Peter MacCallum Department of Oncology, The University of Melbourne, Melbourne, VIC, Australia. .,Department of Pathology, University of Melbourne, Melbourne, VIC, Australia.
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14
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Thompson ER, Wong-Brown M, Rowley SM, Dooley S, Lil N, Hipwell M, McInerny S, Meldrum C, Devereux L, Mossman D, Trainer AH, Millar BR, Mitchell G, Smith C, James PA, Campbell IG, Scott RJ, Klonowska K, Jakubowska A, Maksimenko J, Irmejs A, Nakazawa-Miklasevica M, Melbarde-Gorkusa I, Trofimovics G, Gardovskis J, Miklasevics E, Tęcza K, Pamuła-Piłat J, Łanuszewska J, Grzybowska E, Miklasevics E, Szwiec M, Tomiczek-Szwiec J, Gełej M, Cybulski C, Huzarski T, Kilar E, Oczko-Wojciechowska M, Świerniak M, Krajewska J, Kowalska M, Tyszkiewicz T, Pawlaczek A, Jarząb M, Kowal M, Rusinek D, Zebracka-Gala J, Czarniecka A, Jarzab B, Plawski A, Borun P, Szczepinska J, Siolek M, Kozak-Klonowska B, Kaczmarek K, Muszyńska M, Marciniak W, Sukiennicki G, Lener M, Durda K, Jaworska-Bieniek K, Gromowski T, Huzarski T, Byrski T, Gronwald J, Oszurek O, Cybulski C, Dębniak T, Morawski A, Jakubowska A, Lubiński J, Sukiennicki G, Muszyńska M, Marciniak W, Kaczmarek K, Lener M, Durda K, Jaworska-Bieniek K, Gromowski T, Huzarski T, Byrski T, Gronwald J, Oszurek O, Cybulski C, Dębniak T, Morawski A, Jakubowska A, Lubiński J, Post M. Meeting abstracts from the Annual Conference on Hereditary Cancers 2015. Hered Cancer Clin Pract 2017. [PMCID: PMC5667588 DOI: 10.1186/s13053-017-0074-9] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/23/2022] Open
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15
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Ryland GL, Hunter SM, Doyle MA, Caramia F, Li J, Rowley SM, Christie M, Allan PE, Stephens AN, Bowtell DDL, Campbell IG, Gorringe KL. Erratum to: Mutational landscape of mucinous ovarian carcinoma and its neoplastic precursors. Genome Med 2017; 9:1. [PMID: 28081715 PMCID: PMC5228100 DOI: 10.1186/s13073-016-0392-y] [Citation(s) in RCA: 26] [Impact Index Per Article: 3.7] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/15/2016] [Accepted: 12/15/2016] [Indexed: 11/10/2022] Open
Affiliation(s)
- Georgina L Ryland
- Cancer Genetics Laboratory, Peter MacCallum Cancer Centre, East Melbourne, VIC, Australia
| | - Sally M Hunter
- Cancer Genetics Laboratory, Peter MacCallum Cancer Centre, East Melbourne, VIC, Australia
| | - Maria A Doyle
- Bioinformatics Core Facility, Peter MacCallum Cancer Centre, East Melbourne, VIC, Australia
| | - Franco Caramia
- Bioinformatics Core Facility, Peter MacCallum Cancer Centre, East Melbourne, VIC, Australia
| | - Jason Li
- Bioinformatics Core Facility, Peter MacCallum Cancer Centre, East Melbourne, VIC, Australia
| | - Simone M Rowley
- Cancer Genetics Laboratory, Peter MacCallum Cancer Centre, East Melbourne, VIC, Australia
| | - Michael Christie
- Department of Anatomical Pathology, Royal Melbourne Hospital, Parkville, VIC, Australia
| | - Prue E Allan
- Department of Pathology, Peter MacCallum Cancer Centre, East Melbourne, VIC, Australia
| | - Andrew N Stephens
- Centre for Cancer Research, MIMR-PHI Institute of Medical Research, Clayton, VIC, Australia.,Department of Molecular and Translational Sciences, Monash University, Clayton, VIC, Australia.,Epworth Research Institute, Epworth HealthCare, Richmond, VIC, Australia
| | - David D L Bowtell
- Cancer Genetics and Genomics Laboratory, Peter MacCallum Cancer Centre, East Melbourne, VIC, Australia.,Sir Peter MacCallum Department of Oncology, University of Melbourne, Parkville, VIC, Australia.,Department of Biochemistry and Molecular Biology, University of Melbourne, Parkville, VIC, Australia
| | | | - Ian G Campbell
- Cancer Genetics Laboratory, Peter MacCallum Cancer Centre, East Melbourne, VIC, Australia.,Sir Peter MacCallum Department of Oncology, University of Melbourne, Parkville, VIC, Australia.,Department of Pathology, University of Melbourne, Parkville, VIC, Australia
| | - Kylie L Gorringe
- Cancer Genetics Laboratory, Peter MacCallum Cancer Centre, East Melbourne, VIC, Australia. .,Sir Peter MacCallum Department of Oncology, University of Melbourne, Parkville, VIC, Australia. .,Department of Pathology, University of Melbourne, Parkville, VIC, Australia.
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16
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Kader T, Goode DL, Wong SQ, Connaughton J, Rowley SM, Devereux L, Byrne D, Fox SB, Mir Arnau G, Tothill RW, Campbell IG, Gorringe KL. Copy number analysis by low coverage whole genome sequencing using ultra low-input DNA from formalin-fixed paraffin embedded tumor tissue. Genome Med 2016; 8:121. [PMID: 27846907 PMCID: PMC5111221 DOI: 10.1186/s13073-016-0375-z] [Citation(s) in RCA: 28] [Impact Index Per Article: 3.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/13/2016] [Accepted: 10/26/2016] [Indexed: 11/10/2022] Open
Abstract
Unlocking clinically translatable genomic information, including copy number alterations (CNA), from formalin-fixed paraffin-embedded (FFPE) tissue is challenging due to low yields and degraded DNA. We describe a robust, cost-effective low-coverage whole genome sequencing (LC WGS) method for CNA detection using 5 ng of FFPE-derived DNA. CN profiles using 100 ng or 5 ng input DNA were highly concordant and comparable with molecular inversion probe (MIP) array profiles. LC WGS improved CN profiles of samples that performed poorly using MIP arrays. Our technique enables identification of driver and prognostic CNAs in archival patient samples previously deemed unsuitable for genomic analysis due to DNA limitations.
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Affiliation(s)
- Tanjina Kader
- Cancer Genetics Laboratory, Peter MacCallum Cancer Centre, 305 Grattan St, Melbourne, VIC, Australia.,The Sir Peter MacCallum Department of Oncology, University of Melbourne, Melbourne, VIC, Australia
| | - David L Goode
- The Sir Peter MacCallum Department of Oncology, University of Melbourne, Melbourne, VIC, Australia.,Bioinformatics and Cancer Genomics Laboratory, Peter MacCallum Cancer Centre, 305 Grattan St, Melbourne, VIC, Australia
| | - Stephen Q Wong
- Molecular Biomarkers and Translational Genomics Laboratory, Peter MacCallum Cancer Centre, 305 Grattan St, Melbourne, VIC, Australia
| | - Jacquie Connaughton
- Cancer Genetics Laboratory, Peter MacCallum Cancer Centre, 305 Grattan St, Melbourne, VIC, Australia
| | - Simone M Rowley
- Cancer Genetics Laboratory, Peter MacCallum Cancer Centre, 305 Grattan St, Melbourne, VIC, Australia
| | - Lisa Devereux
- LifePool, Peter MacCallum Cancer Centre, 305 Grattan St, Melbourne, VIC, Australia
| | - David Byrne
- Pathology, Peter MacCallum Cancer Centre, 305 Grattan St, Melbourne, VIC, Australia
| | - Stephen B Fox
- Pathology, Peter MacCallum Cancer Centre, 305 Grattan St, Melbourne, VIC, Australia
| | - Gisela Mir Arnau
- Molecular Genomics Core Facility, Peter MacCallum Cancer Centre, 305 Grattan St, Melbourne, VIC, Australia
| | - Richard W Tothill
- The Sir Peter MacCallum Department of Oncology, University of Melbourne, Melbourne, VIC, Australia.,Molecular Imaging and Targeted Therapeutics Laboratory, Peter MacCallum Cancer Centre, 305 Grattan St, Melbourne, VIC, Australia.,Department of Pathology, University of Melbourne, Parkville, VIC, Australia
| | - Ian G Campbell
- Cancer Genetics Laboratory, Peter MacCallum Cancer Centre, 305 Grattan St, Melbourne, VIC, Australia.,The Sir Peter MacCallum Department of Oncology, University of Melbourne, Melbourne, VIC, Australia.,Department of Pathology, University of Melbourne, Parkville, VIC, Australia
| | - Kylie L Gorringe
- Cancer Genetics Laboratory, Peter MacCallum Cancer Centre, 305 Grattan St, Melbourne, VIC, Australia. .,The Sir Peter MacCallum Department of Oncology, University of Melbourne, Melbourne, VIC, Australia. .,Department of Pathology, University of Melbourne, Parkville, VIC, Australia.
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17
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Li N, Thompson ER, Rowley SM, McInerny S, Devereux L, Goode D, Investigators L, Wong-Brown MW, Scott RJ, Trainer AH, Gorringe KL, James PA, Campbell IG. Reevaluation of RINT1 as a breast cancer predisposition gene. Breast Cancer Res Treat 2016; 159:385-92. [DOI: 10.1007/s10549-016-3944-3] [Citation(s) in RCA: 14] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/10/2016] [Accepted: 08/10/2016] [Indexed: 12/30/2022]
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18
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Easton DF, Lesueur F, Decker B, Michailidou K, Li J, Allen J, Luccarini C, Pooley KA, Shah M, Bolla MK, Wang Q, Dennis J, Ahmad J, Thompson ER, Damiola F, Pertesi M, Voegele C, Mebirouk N, Robinot N, Durand G, Forey N, Luben RN, Ahmed S, Aittomäki K, Anton-Culver H, Arndt V, Baynes C, Beckman MW, Benitez J, Van Den Berg D, Blot WJ, Bogdanova NV, Bojesen SE, Brenner H, Chang-Claude J, Chia KS, Choi JY, Conroy DM, Cox A, Cross SS, Czene K, Darabi H, Devilee P, Eriksson M, Fasching PA, Figueroa J, Flyger H, Fostira F, García-Closas M, Giles GG, Glendon G, González-Neira A, Guénel P, Haiman CA, Hall P, Hart SN, Hartman M, Hooning MJ, Hsiung CN, Ito H, Jakubowska A, James PA, John EM, Johnson N, Jones M, Kabisch M, Kang D, Kosma VM, Kristensen V, Lambrechts D, Li N, Lindblom A, Long J, Lophatananon A, Lubinski J, Mannermaa A, Manoukian S, Margolin S, Matsuo K, Meindl A, Mitchell G, Muir K, Nevelsteen I, van den Ouweland A, Peterlongo P, Phuah SY, Pylkäs K, Rowley SM, Sangrajrang S, Schmutzler RK, Shen CY, Shu XO, Southey MC, Surowy H, Swerdlow A, Teo SH, Tollenaar RAEM, Tomlinson I, Torres D, Truong T, Vachon C, Verhoef S, Wong-Brown M, Zheng W, Zheng Y, Nevanlinna H, Scott RJ, Andrulis IL, Wu AH, Hopper JL, Couch FJ, Winqvist R, Burwinkel B, Sawyer EJ, Schmidt MK, Rudolph A, Dörk T, Brauch H, Hamann U, Neuhausen SL, Milne RL, Fletcher O, Pharoah PDP, Campbell IG, Dunning AM, Le Calvez-Kelm F, Goldgar DE, Tavtigian SV, Chenevix-Trench G. No evidence that protein truncating variants in BRIP1 are associated with breast cancer risk: implications for gene panel testing. J Med Genet 2016; 53:298-309. [PMID: 26921362 PMCID: PMC4938802 DOI: 10.1136/jmedgenet-2015-103529] [Citation(s) in RCA: 81] [Impact Index Per Article: 10.1] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/17/2015] [Accepted: 12/16/2015] [Indexed: 12/13/2022]
Abstract
BACKGROUND BRCA1 interacting protein C-terminal helicase 1 (BRIP1) is one of the Fanconi Anaemia Complementation (FANC) group family of DNA repair proteins. Biallelic mutations in BRIP1 are responsible for FANC group J, and previous studies have also suggested that rare protein truncating variants in BRIP1 are associated with an increased risk of breast cancer. These studies have led to inclusion of BRIP1 on targeted sequencing panels for breast cancer risk prediction. METHODS We evaluated a truncating variant, p.Arg798Ter (rs137852986), and 10 missense variants of BRIP1, in 48 144 cases and 43 607 controls of European origin, drawn from 41 studies participating in the Breast Cancer Association Consortium (BCAC). Additionally, we sequenced the coding regions of BRIP1 in 13 213 cases and 5242 controls from the UK, 1313 cases and 1123 controls from three population-based studies as part of the Breast Cancer Family Registry, and 1853 familial cases and 2001 controls from Australia. RESULTS The rare truncating allele of rs137852986 was observed in 23 cases and 18 controls in Europeans in BCAC (OR 1.09, 95% CI 0.58 to 2.03, p=0.79). Truncating variants were found in the sequencing studies in 34 cases (0.21%) and 19 controls (0.23%) (combined OR 0.90, 95% CI 0.48 to 1.70, p=0.75). CONCLUSIONS These results suggest that truncating variants in BRIP1, and in particular p.Arg798Ter, are not associated with a substantial increase in breast cancer risk. Such observations have important implications for the reporting of results from breast cancer screening panels.
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Affiliation(s)
- Douglas F Easton
- Department of Oncology, Centre for Cancer Genetic Epidemiology, University of Cambridge, Cambridge, UK Department of Public Health and Primary Care, Centre for Cancer Genetic Epidemiology, University of Cambridge, Cambridge, UK
| | - Fabienne Lesueur
- Genetic Epidemiology of Cancer team, Inserm, U900, Institut Curie, Mines ParisTech, Paris, France
| | - Brennan Decker
- Department of Public Health and Primary Care, Centre for Cancer Genetic Epidemiology, University of Cambridge, Cambridge, UK Cancer Genetics and Comparative Genomics Section, National Human Genome Research Institute, National Institutes of Health, Bethesda, Maryland, USA
| | - Kyriaki Michailidou
- Department of Public Health and Primary Care, Centre for Cancer Genetic Epidemiology, University of Cambridge, Cambridge, UK Department of Electron Microscopy/Molecular Pathology, The Cyprus Institute of Neurology and Genetics, Nicosia, Cyprus
| | - Jun Li
- Department of Genetics, QIMR Berghofer Medical Research Institute, Brisbane, Australia
| | - Jamie Allen
- Department of Public Health and Primary Care, Centre for Cancer Genetic Epidemiology, University of Cambridge, Cambridge, UK
| | - Craig Luccarini
- Department of Oncology, Centre for Cancer Genetic Epidemiology, University of Cambridge, Cambridge, UK
| | - Karen A Pooley
- Department of Public Health and Primary Care, Centre for Cancer Genetic Epidemiology, University of Cambridge, Cambridge, UK
| | - Mitul Shah
- Department of Oncology, Centre for Cancer Genetic Epidemiology, University of Cambridge, Cambridge, UK
| | - Manjeet K Bolla
- Department of Public Health and Primary Care, Centre for Cancer Genetic Epidemiology, University of Cambridge, Cambridge, UK
| | - Qin Wang
- Department of Public Health and Primary Care, Centre for Cancer Genetic Epidemiology, University of Cambridge, Cambridge, UK
| | - Joe Dennis
- Department of Public Health and Primary Care, Centre for Cancer Genetic Epidemiology, University of Cambridge, Cambridge, UK
| | - Jamil Ahmad
- Genetic Cancer Susceptibility Group, International Agency for Research on Cancer, Lyon, France
| | - Ella R Thompson
- Research Division, Peter MacCallum Cancer Centre, East Melbourne, Australia Sir Peter MacCallum Department of Oncology, The University of Melbourne, Melbourne, Australia
| | - Francesca Damiola
- Genetic of Breast Cancer Team, Cancer Research Center of Lyon, Centre Léon Bérard, Lyon, France
| | - Maroulio Pertesi
- Genetic Cancer Susceptibility Group, International Agency for Research on Cancer, Lyon, France
| | - Catherine Voegele
- Genetic Cancer Susceptibility Group, International Agency for Research on Cancer, Lyon, France
| | - Noura Mebirouk
- Genetic Epidemiology of Cancer team, Inserm, U900, Institut Curie, Mines ParisTech, Paris, France
| | - Nivonirina Robinot
- Genetic Cancer Susceptibility Group, International Agency for Research on Cancer, Lyon, France
| | - Geoffroy Durand
- Genetic Cancer Susceptibility Group, International Agency for Research on Cancer, Lyon, France
| | - Nathalie Forey
- Genetic Cancer Susceptibility Group, International Agency for Research on Cancer, Lyon, France
| | - Robert N Luben
- Clinical Gerontology, Department of Public Health and Primary Care, University of Cambridge, Cambridge, UK
| | - Shahana Ahmed
- Department of Oncology, Centre for Cancer Genetic Epidemiology, University of Cambridge, Cambridge, UK
| | - Kristiina Aittomäki
- Department of Clinical Genetics, University of Helsinki and Helsinki University Hospital, Helsinki, Finland
| | - Hoda Anton-Culver
- Department of Epidemiology, University of California Irvine, Irvine, California, USA
| | - Volker Arndt
- Division of Clinical Epidemiology and Aging Research, German Cancer Research Center (DKFZ), Heidelberg, Germany
| | - Caroline Baynes
- Department of Oncology, Centre for Cancer Genetic Epidemiology, University of Cambridge, Cambridge, UK
| | - Matthias W Beckman
- Department of Gynaecology and Obstetrics, University Hospital Erlangen, Friedrich-Alexander University Erlangen-Nuremberg, Comprehensive Cancer Center Erlangen-EMN, Erlangen, Germany
| | - Javier Benitez
- Human Cancer Genetics Program, Spanish National Cancer Research Centre, Madrid, Spain Centro de Investigación en Red de Enfermedades Raras (CIBERER), Valencia, Spain
| | - David Van Den Berg
- Department of Preventive Medicine, Keck School of Medicine, University of Southern California, Los Angeles, California, USA
| | - William J Blot
- International Epidemiology Institute, Rockville, Maryland, USA Division of Epidemiology, Department of Medicine, Vanderbilt-Ingram Cancer Center, Vanderbilt University School of Medicine, Nashville, Tennessee, USA
| | - Natalia V Bogdanova
- Department of Radiation Oncology, Hannover Medical School, Hannover, Germany
| | - Stig E Bojesen
- Copenhagen General Population Study, Herlev and Gentofte Hospital, Copenhagen University Hospital, Herlev, Denmark Department of Clinical Biochemistry, Herlev and Gentofte Hospital, Copenhagen University Hospital, Herlev, Denmark Faculty of Health and Medical Sciences, University of Copenhagen, Copenhagen, Denmark
| | - Hermann Brenner
- Division of Clinical Epidemiology and Aging Research, German Cancer Research Center (DKFZ), Heidelberg, Germany German Cancer Consortium (DKTK), German Cancer Research Center (DKFZ), Heidelberg, Germany Division of Preventive Oncology, German Cancer Research Center (DKFZ) and National Center for Tumor Diseases (NCT), Heidelberg, Germany
| | - Jenny Chang-Claude
- Division of Cancer Epidemiology, German Cancer Research Center (DKFZ), Heidelberg, Germany University Cancer Center Hamburg (UCCH), University Medical Center Hamburg-Eppendorf, Hamburg, Germany
| | - Kee Seng Chia
- Saw Swee Hock School of Public Health, National University of Singapore and National University Health System, Singapore, Singapore
| | - Ji-Yeob Choi
- Cancer Research Institute, Seoul National University College of Medicine, Seoul, Korea Department of Biomedical Sciences, Seoul National University College of Medicine, Seoul, Korea
| | - Don M Conroy
- Department of Oncology, Centre for Cancer Genetic Epidemiology, University of Cambridge, Cambridge, UK
| | - Angela Cox
- Sheffield Cancer Research, Department of Oncology, University of Sheffield, Sheffield, UK
| | - Simon S Cross
- Academic Unit of Pathology, Department of Neuroscience, University of Sheffield, Sheffield, UK
| | - Kamila Czene
- Department of Medical Epidemiology and Biostatistics, Karolinska Institutet, Stockholm, Sweden
| | - Hatef Darabi
- Department of Medical Epidemiology and Biostatistics, Karolinska Institutet, Stockholm, Sweden
| | - Peter Devilee
- Department of Human Genetics, Leiden University Medical Center, Leiden, The Netherlands Department of Pathology, Leiden University Medical Center, Leiden, The Netherlands
| | - Mikael Eriksson
- Department of Medical Epidemiology and Biostatistics, Karolinska Institutet, Stockholm, Sweden
| | - Peter A Fasching
- Department of Gynaecology and Obstetrics, University Hospital Erlangen, Friedrich-Alexander University Erlangen-Nuremberg, Comprehensive Cancer Center Erlangen-EMN, Erlangen, Germany David Geffen School of Medicine, Department of Medicine Division of Hematology and Oncology, University of California, Los Angeles, California, USA
| | - Jonine Figueroa
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, Bethesda, Maryland, USA Usher Institute of Population Health Sciences and Informatics, The University of Edinburgh Medical School, Edinburgh, UK
| | - Henrik Flyger
- Department of Breast Surgery, Herlev and Gentofte Hospital, Copenhagen University Hospital, Herlev, Denmark
| | - Florentia Fostira
- Molecular Diagnostics Laboratory, INRASTES, National Centre for Scientific Research "Demokritos", Athens, Greece
| | - Montserrat García-Closas
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, Bethesda, Maryland, USA
| | - Graham G Giles
- Cancer Epidemiology Centre, Cancer Council Victoria, Melbourne, Victoria, Australia Centre for Epidemiology and Biostatistics, Melbourne School of Population and Global Health, The University of Melbourne, Melbourne, Victoria, Australia
| | - Gord Glendon
- Lunenfeld-Tanenbaum Research Institute of Mount Sinai Hospital, Toronto, Ontario, Canada
| | - Anna González-Neira
- Human Cancer Genetics Program, Spanish National Cancer Research Centre, Madrid, Spain
| | - Pascal Guénel
- University Paris-Sud, UMRS 1018, Villejuif, France Inserm, CESP Center for research in Epidemiology and Population Health, U1018, Cancer & Environment Group, Villejuif, France
| | - Christopher A Haiman
- Department of Preventive Medicine, Keck School of Medicine, University of Southern California, Los Angeles, California, USA
| | - Per Hall
- Department of Medical Epidemiology and Biostatistics, Karolinska Institutet, Stockholm, Sweden
| | - Steven N Hart
- Department of Health Sciences Research, Mayo Clinic, Rochester, Minnesota, USA
| | - Mikael Hartman
- Saw Swee Hock School of Public Health, National University of Singapore and National University Health System, Singapore, Singapore Department of Surgery, National University Health System, Singapore, Singapore
| | - Maartje J Hooning
- Department of Medical Oncology, Family Cancer Clinic, Erasmus University Medical Center, Rotterdam, The Netherlands
| | - Chia-Ni Hsiung
- Institute of Biomedical Sciences, Academia Sinica, Taipei, Taiwan
| | - Hidemi Ito
- Division of Epidemiology and Prevention, Aichi Cancer Center Research Institute, Nagoya, Aichi, Japan
| | - Anna Jakubowska
- Department of Genetics and Pathology, Pomeranian Medical University, Szczecin, Poland
| | - Paul A James
- Department of Pathology, The University of Melbourne, Melbourne, Victoria, Australia Familial Cancer Centre, Peter MacCallum Cancer Centre, Melbourne, Victoria, Australia
| | - Esther M John
- Department of Epidemiology, Cancer Prevention Institute of California, Fremont, California, USA Department of Health Research and Policy-Epidemiology, Stanford University School of Medicine, Stanford, California, USA Stanford Cancer Institute, Stanford University School of Medicine, Stanford, California, USA
| | - Nichola Johnson
- Breakthrough Breast Cancer Research Centre, The Institute of Cancer Research, London, UK Division of Breast Cancer Research, The Institute of Cancer Research, London, UK
| | - Michael Jones
- Division of Genetics and Epidemiology, The Institute of Cancer Research, London, UK
| | - Maria Kabisch
- Molecular Genetics of Breast Cancer, German Cancer Research Center (DKFZ), Heidelberg, Germany
| | - Daehee Kang
- Cancer Research Institute, Seoul National University College of Medicine, Seoul, Korea Department of Biomedical Sciences, Seoul National University College of Medicine, Seoul, Korea Department of Preventive Medicine, Seoul National University College of Medicine, Seoul National University, Seoul, Korea
| | - Veli-Matti Kosma
- Institute of Clinical Medicine, Pathology and Forensic Medicine, University of Eastern Finland, Kuopio, Finland Imaging Center, Department of Clinical Pathology, Kuopio University Hospital, Kuopio, Finland Cancer Center of Eastern Finland, University of Eastern Finland, Kuopio, Finland
| | - Vessela Kristensen
- Department of Genetics, Institute for Cancer Research, Oslo University Hospital, Radiumhospitalet, Oslo, Norway Faculty of Medicine, K.G. Jebsen Center for Breast Cancer Research, Institute of Clinical Medicine, University of Oslo, Oslo, Norway Department of Clinical Molecular Biology (EpiGen), University of Oslo (UiO), Oslo, Norway
| | - Diether Lambrechts
- Vesalius Research Center, VIB, Leuven, Belgium Laboratory for Translational Genetics, Department of Oncology, University of Leuven, Leuven, Belgium
| | - Na Li
- Research Division, Peter MacCallum Cancer Centre, East Melbourne, Australia Cancer Biology Research Center, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei, China
| | - Annika Lindblom
- Department of Molecular Medicine and Surgery, Karolinska Institutet, Stockholm, Sweden
| | - Jirong Long
- Division of Epidemiology, Department of Medicine, Vanderbilt-Ingram Cancer Center, Vanderbilt University School of Medicine, Nashville, Tennessee, USA
| | - Artitaya Lophatananon
- Division of Health Sciences, Warwick Medical school, Warwick University, Coventry, UK
| | - Jan Lubinski
- Department of Genetics and Pathology, Pomeranian Medical University, Szczecin, Poland
| | - Arto Mannermaa
- Institute of Clinical Medicine, Pathology and Forensic Medicine, University of Eastern Finland, Kuopio, Finland Imaging Center, Department of Clinical Pathology, Kuopio University Hospital, Kuopio, Finland Cancer Center of Eastern Finland, University of Eastern Finland, Kuopio, Finland
| | - Siranoush Manoukian
- Unit of Medical Genetics, Department of Preventive and Predictive Medicine, Fondazione IRCCS (Istituto di Ricovero e Cura a Carattere Scientifico) Istituto Nazionale Tumori (INT), Milan, Italy
| | - Sara Margolin
- Department of Oncology-Pathology, Karolinska Institutet, Stockholm, Sweden
| | - Keitaro Matsuo
- Division of Molecular Medicine, Aichi Cancer Center Research Institute, Nagoya, Japan
| | - Alfons Meindl
- Division of Gynaecology and Obstetrics, Technische Universität München, Munich, Germany
| | - Gillian Mitchell
- Sir Peter MacCallum Department of Oncology, The University of Melbourne, Melbourne, Australia Familial Cancer Centre, Peter MacCallum Cancer Centre, Melbourne, Victoria, Australia
| | - Kenneth Muir
- Division of Health Sciences, Warwick Medical school, Warwick University, Coventry, UK Institute of Population Health, University of Manchester, Manchester, UK
| | | | - Ans van den Ouweland
- Department of Clinical Genetics, Erasmus University Medical Center, Rotterdam, The Netherlands
| | - Paolo Peterlongo
- IFOM, The FIRC (Italian Foundation for Cancer Research) Institute of Molecular Oncology, Milan, Italy
| | - Sze Yee Phuah
- Breast Cancer Research Unit, University Malaya Cancer Research Institute, University Malaya Medical Centre (UMMC), Kuala Lumpur, Malaysia Cancer Research Initiatives Foundation, Sime Darby Medical Centre, Subang Jaya, Malaysia
| | - Katri Pylkäs
- Laboratory of Cancer Genetics and Tumor Biology, Northern Finland Laboratory Centre NordLab, Oulu, Finland Laboratory of Cancer Genetics and Tumor Biology, Cancer Research and Translational Medicine, Biocenter Oulu, University of Oulu, Oulu, Finland
| | - Simone M Rowley
- Research Division, Peter MacCallum Cancer Centre, East Melbourne, Australia
| | | | - Rita K Schmutzler
- Center for Integrated Oncology (CIO), Medical Faculty, University Hospital Cologne, Germany Medical Faculty, Center for Hereditary Breast and Ovarian Cancer, University Hospital Cologne, Germany Center for Molecular Medicine Cologne (CMMC), University of Cologne, Germany
| | - Chen-Yang Shen
- School of Public Health, China Medical University, Taichung, Taiwan Taiwan Biobank, Institute of Biomedical Sciences, Academia Sinica, Taipei, Taiwan
| | - Xiao-Ou Shu
- Division of Epidemiology, Department of Medicine, Vanderbilt Epidemiology Center, Vanderbilt-Ingram Cancer Center, Vanderbilt University School of Medicine, Nashville, Tennessee, USA
| | - Melissa C Southey
- Department of Pathology, The University of Melbourne, Melbourne, Victoria, Australia
| | - Harald Surowy
- Molecular Epidemiology Group, German Cancer Research Center (DKFZ), Heidelberg, Germany Department of Obstetrics and Gynecology, University of Heidelberg, Heidelberg, Germany
| | - Anthony Swerdlow
- Division of Breast Cancer Research, The Institute of Cancer Research, London, UK Division of Genetics and Epidemiology, The Institute of Cancer Research, London, UK
| | - Soo H Teo
- Breast Cancer Research Unit, University Malaya Cancer Research Institute, University Malaya Medical Centre (UMMC), Kuala Lumpur, Malaysia Cancer Research Initiatives Foundation, Sime Darby Medical Centre, Subang Jaya, Malaysia
| | - Rob A E M Tollenaar
- Department of Surgery, Leiden University Medical Center, Leiden, The Netherlands
| | - Ian Tomlinson
- Wellcome Trust Centre for Human Genetics and Oxford Biomedical Research Centre, University of Oxford, Oxford, UK
| | - Diana Torres
- Molecular Genetics of Breast Cancer, German Cancer Research Center (DKFZ), Heidelberg, Germany Institute of Human Genetics, Pontificia Universidad Javeriana, Bogota, Colombia
| | - Thérèse Truong
- University Paris-Sud, UMRS 1018, Villejuif, France Inserm, CESP Center for research in Epidemiology and Population Health, U1018, Cancer & Environment Group, Villejuif, France
| | - Celine Vachon
- Department of Health Sciences Research, Mayo Clinic, Rochester, Minnesota, USA
| | - Senno Verhoef
- Netherlands Cancer Institute, Antoni van Leeuwenhoek hospital, Amsterdam, The Netherlands
| | - Michelle Wong-Brown
- Division of Genetics, Hunter Area Pathology Service, John Hunter Hospital, Newcastle, New South Wales, Australia
| | - Wei Zheng
- Division of Epidemiology, Department of Medicine, Vanderbilt-Ingram Cancer Center, Vanderbilt University School of Medicine, Nashville, Tennessee, USA
| | - Ying Zheng
- Shanghai Municipal Center for Disease Control and Prevention, Shanghai, China
| | - Heli Nevanlinna
- Department of Obstetrics and Gynecology, University of Helsinki and Helsinki University Hospital, Helsinki, Finland
| | - Rodney J Scott
- Division of Genetics, Hunter Area Pathology Service, John Hunter Hospital, Newcastle, New South Wales, Australia Division of Molecular Medicine, Pathology North, John Hunter Hospital, Newcastle, New South Wales, Australia
| | - Irene L Andrulis
- Lunenfeld-Tanenbaum Research Institute of Mount Sinai Hospital, Toronto, Ontario, Canada Department of Molecular Genetics, University of Toronto, Ontario, Canada
| | - Anna H Wu
- Department of Preventive Medicine, Keck School of Medicine, University of Southern California, Los Angeles, California, USA
| | - John L Hopper
- Centre for Epidemiology and Biostatistics, University of Melbourne, Melbourne, Victoria, Australia
| | - Fergus J Couch
- Department of Laboratory Medicine and Pathology, Mayo Clinic, Rochester, Minnesota, USA
| | - Robert Winqvist
- Laboratory of Cancer Genetics and Tumor Biology, Northern Finland Laboratory Centre NordLab, Oulu, Finland Laboratory of Cancer Genetics and Tumor Biology, Cancer Research and Translational Medicine, Biocenter Oulu, University of Oulu, Oulu, Finland
| | - Barbara Burwinkel
- Molecular Epidemiology Group, German Cancer Research Center (DKFZ), Heidelberg, Germany Department of Obstetrics and Gynecology, University of Heidelberg, Heidelberg, Germany
| | - Elinor J Sawyer
- Research Oncology, Division of Cancer Studies, King's College London, Guy's Hospital, London, UK
| | - Marjanka K Schmidt
- Netherlands Cancer Institute, Antoni van Leeuwenhoek hospital, Amsterdam, The Netherlands
| | - Anja Rudolph
- Division of Cancer Epidemiology, German Cancer Research Center (DKFZ), Heidelberg, Germany
| | - Thilo Dörk
- Gynaecology Research Unit, Hannover Medical School, Hannover, Germany
| | - Hiltrud Brauch
- German Cancer Consortium (DKTK), German Cancer Research Center (DKFZ), Heidelberg, Germany Dr. Margarete Fischer-Bosch-Institute of Clinical Pharmacology, Stuttgart, Germany University of Tübingen, Tübingen, Germany
| | - Ute Hamann
- Molecular Genetics of Breast Cancer, German Cancer Research Center (DKFZ), Heidelberg, Germany
| | - Susan L Neuhausen
- Department of Population Sciences, Beckman Research Institute of City of Hope, Duarte, California, USA
| | - Roger L Milne
- Cancer Epidemiology Centre, Cancer Council Victoria, Melbourne, Victoria, Australia Centre for Epidemiology and Biostatistics, Melbourne School of Population and Global Health, The University of Melbourne, Melbourne, Victoria, Australia
| | - Olivia Fletcher
- Breakthrough Breast Cancer Research Centre, The Institute of Cancer Research, London, UK Division of Breast Cancer Research, The Institute of Cancer Research, London, UK
| | - Paul D P Pharoah
- Department of Oncology, Centre for Cancer Genetic Epidemiology, University of Cambridge, Cambridge, UK Department of Public Health and Primary Care, Centre for Cancer Genetic Epidemiology, University of Cambridge, Cambridge, UK
| | - Ian G Campbell
- Research Division, Peter MacCallum Cancer Centre, East Melbourne, Australia Sir Peter MacCallum Department of Oncology, The University of Melbourne, Melbourne, Australia Department of Pathology, The University of Melbourne, Melbourne, Victoria, Australia
| | - Alison M Dunning
- Department of Oncology, Centre for Cancer Genetic Epidemiology, University of Cambridge, Cambridge, UK
| | - Florence Le Calvez-Kelm
- Genetic Cancer Susceptibility Group, International Agency for Research on Cancer, Lyon, France
| | - David E Goldgar
- Department of Dermatology, University of Utah School of Medicine, Salt Lake City, Utah, USA Cancer Control and Population Sciences, Huntsman Cancer Institute, Salt Lake City, Utah, USA
| | - Sean V Tavtigian
- Department of Oncological Sciences, Huntsman Cancer Institute, University of Utah School of Medicine, Salt Lake City, Utah, USA
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Thompson ER, Rowley SM, Li N, McInerny S, Devereux L, Wong-Brown MW, Trainer AH, Mitchell G, Scott RJ, James PA, Campbell IG. Panel Testing for Familial Breast Cancer: Calibrating the Tension Between Research and Clinical Care. J Clin Oncol 2016; 34:1455-9. [PMID: 26786923 DOI: 10.1200/jco.2015.63.7454] [Citation(s) in RCA: 139] [Impact Index Per Article: 17.4] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/22/2022] Open
Abstract
PURPOSE Gene panel sequencing is revolutionizing germline risk assessment for hereditary breast cancer. Despite scant evidence supporting the role of many of these genes in breast cancer predisposition, results are often reported to families as the definitive explanation for their family history. We assessed the frequency of mutations in 18 genes included in hereditary breast cancer panels among index cases from families with breast cancer and matched population controls. PATIENTS AND METHODS Cases (n = 2,000) were predominantly breast cancer-affected women referred to specialized Familial Cancer Centers on the basis of a strong family history of breast cancer and BRCA1 and BRCA2 wild type. Controls (n = 1,997) were cancer-free women from the LifePool study. Sequencing data were filtered for known pathogenic or novel loss-of-function mutations. RESULTS Excluding 19 mutations identified in BRCA1 and BRCA2 among the cases and controls, a total of 78 cases (3.9%) and 33 controls (1.6%) were found to carry potentially actionable mutations. A significant excess of mutations was only observed for PALB2 (26 cases, four controls) and TP53 (five cases, zero controls), whereas no mutations were identified in STK11. Among the remaining genes, loss-of-function mutations were rare, with similar frequency between cases and controls. CONCLUSION The frequency of mutations in most breast cancer panel genes among individuals selected for possible hereditary breast cancer is low and, in many cases, similar or even lower than that observed among cancer-free population controls. Although multigene panels can significantly aid in cancer risk management and expedite clinical translation of new genes, they equally have the potential to provide clinical misinformation and harm at the individual level if the data are not interpreted cautiously.
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Affiliation(s)
- Ella R Thompson
- Ella R. Thompson, Simone M. Rowley, Na Li, Simone McInerny, Lisa Devereux, Alison H. Trainer, Gillian Mitchell, Paul A. James, and Ian G. Campbell, Peter MacCallum Cancer Centre, East Melbourne; Ella R. Thompson, Alison H. Trainer, Gillian Mitchell, Paul A. James, and Ian G. Campbell, University of Melbourne, Melbourne, Victoria; Michelle W. Wong-Brown and Rodney J. Scott, The University of Newcastle and Hunter Medical Research Institute; Rodney J. Scott, Hunter Area Pathology Service, Newcastle, New South Wales, Australia; Na Li, Huazhong University of Science and Technology, Wuhan, Hubei, China; and Gillian Mitchell, BC Cancer Agency, Vancouver, Canada
| | - Simone M Rowley
- Ella R. Thompson, Simone M. Rowley, Na Li, Simone McInerny, Lisa Devereux, Alison H. Trainer, Gillian Mitchell, Paul A. James, and Ian G. Campbell, Peter MacCallum Cancer Centre, East Melbourne; Ella R. Thompson, Alison H. Trainer, Gillian Mitchell, Paul A. James, and Ian G. Campbell, University of Melbourne, Melbourne, Victoria; Michelle W. Wong-Brown and Rodney J. Scott, The University of Newcastle and Hunter Medical Research Institute; Rodney J. Scott, Hunter Area Pathology Service, Newcastle, New South Wales, Australia; Na Li, Huazhong University of Science and Technology, Wuhan, Hubei, China; and Gillian Mitchell, BC Cancer Agency, Vancouver, Canada
| | - Na Li
- Ella R. Thompson, Simone M. Rowley, Na Li, Simone McInerny, Lisa Devereux, Alison H. Trainer, Gillian Mitchell, Paul A. James, and Ian G. Campbell, Peter MacCallum Cancer Centre, East Melbourne; Ella R. Thompson, Alison H. Trainer, Gillian Mitchell, Paul A. James, and Ian G. Campbell, University of Melbourne, Melbourne, Victoria; Michelle W. Wong-Brown and Rodney J. Scott, The University of Newcastle and Hunter Medical Research Institute; Rodney J. Scott, Hunter Area Pathology Service, Newcastle, New South Wales, Australia; Na Li, Huazhong University of Science and Technology, Wuhan, Hubei, China; and Gillian Mitchell, BC Cancer Agency, Vancouver, Canada
| | - Simone McInerny
- Ella R. Thompson, Simone M. Rowley, Na Li, Simone McInerny, Lisa Devereux, Alison H. Trainer, Gillian Mitchell, Paul A. James, and Ian G. Campbell, Peter MacCallum Cancer Centre, East Melbourne; Ella R. Thompson, Alison H. Trainer, Gillian Mitchell, Paul A. James, and Ian G. Campbell, University of Melbourne, Melbourne, Victoria; Michelle W. Wong-Brown and Rodney J. Scott, The University of Newcastle and Hunter Medical Research Institute; Rodney J. Scott, Hunter Area Pathology Service, Newcastle, New South Wales, Australia; Na Li, Huazhong University of Science and Technology, Wuhan, Hubei, China; and Gillian Mitchell, BC Cancer Agency, Vancouver, Canada
| | - Lisa Devereux
- Ella R. Thompson, Simone M. Rowley, Na Li, Simone McInerny, Lisa Devereux, Alison H. Trainer, Gillian Mitchell, Paul A. James, and Ian G. Campbell, Peter MacCallum Cancer Centre, East Melbourne; Ella R. Thompson, Alison H. Trainer, Gillian Mitchell, Paul A. James, and Ian G. Campbell, University of Melbourne, Melbourne, Victoria; Michelle W. Wong-Brown and Rodney J. Scott, The University of Newcastle and Hunter Medical Research Institute; Rodney J. Scott, Hunter Area Pathology Service, Newcastle, New South Wales, Australia; Na Li, Huazhong University of Science and Technology, Wuhan, Hubei, China; and Gillian Mitchell, BC Cancer Agency, Vancouver, Canada
| | - Michelle W Wong-Brown
- Ella R. Thompson, Simone M. Rowley, Na Li, Simone McInerny, Lisa Devereux, Alison H. Trainer, Gillian Mitchell, Paul A. James, and Ian G. Campbell, Peter MacCallum Cancer Centre, East Melbourne; Ella R. Thompson, Alison H. Trainer, Gillian Mitchell, Paul A. James, and Ian G. Campbell, University of Melbourne, Melbourne, Victoria; Michelle W. Wong-Brown and Rodney J. Scott, The University of Newcastle and Hunter Medical Research Institute; Rodney J. Scott, Hunter Area Pathology Service, Newcastle, New South Wales, Australia; Na Li, Huazhong University of Science and Technology, Wuhan, Hubei, China; and Gillian Mitchell, BC Cancer Agency, Vancouver, Canada
| | - Alison H Trainer
- Ella R. Thompson, Simone M. Rowley, Na Li, Simone McInerny, Lisa Devereux, Alison H. Trainer, Gillian Mitchell, Paul A. James, and Ian G. Campbell, Peter MacCallum Cancer Centre, East Melbourne; Ella R. Thompson, Alison H. Trainer, Gillian Mitchell, Paul A. James, and Ian G. Campbell, University of Melbourne, Melbourne, Victoria; Michelle W. Wong-Brown and Rodney J. Scott, The University of Newcastle and Hunter Medical Research Institute; Rodney J. Scott, Hunter Area Pathology Service, Newcastle, New South Wales, Australia; Na Li, Huazhong University of Science and Technology, Wuhan, Hubei, China; and Gillian Mitchell, BC Cancer Agency, Vancouver, Canada
| | - Gillian Mitchell
- Ella R. Thompson, Simone M. Rowley, Na Li, Simone McInerny, Lisa Devereux, Alison H. Trainer, Gillian Mitchell, Paul A. James, and Ian G. Campbell, Peter MacCallum Cancer Centre, East Melbourne; Ella R. Thompson, Alison H. Trainer, Gillian Mitchell, Paul A. James, and Ian G. Campbell, University of Melbourne, Melbourne, Victoria; Michelle W. Wong-Brown and Rodney J. Scott, The University of Newcastle and Hunter Medical Research Institute; Rodney J. Scott, Hunter Area Pathology Service, Newcastle, New South Wales, Australia; Na Li, Huazhong University of Science and Technology, Wuhan, Hubei, China; and Gillian Mitchell, BC Cancer Agency, Vancouver, Canada
| | - Rodney J Scott
- Ella R. Thompson, Simone M. Rowley, Na Li, Simone McInerny, Lisa Devereux, Alison H. Trainer, Gillian Mitchell, Paul A. James, and Ian G. Campbell, Peter MacCallum Cancer Centre, East Melbourne; Ella R. Thompson, Alison H. Trainer, Gillian Mitchell, Paul A. James, and Ian G. Campbell, University of Melbourne, Melbourne, Victoria; Michelle W. Wong-Brown and Rodney J. Scott, The University of Newcastle and Hunter Medical Research Institute; Rodney J. Scott, Hunter Area Pathology Service, Newcastle, New South Wales, Australia; Na Li, Huazhong University of Science and Technology, Wuhan, Hubei, China; and Gillian Mitchell, BC Cancer Agency, Vancouver, Canada
| | - Paul A James
- Ella R. Thompson, Simone M. Rowley, Na Li, Simone McInerny, Lisa Devereux, Alison H. Trainer, Gillian Mitchell, Paul A. James, and Ian G. Campbell, Peter MacCallum Cancer Centre, East Melbourne; Ella R. Thompson, Alison H. Trainer, Gillian Mitchell, Paul A. James, and Ian G. Campbell, University of Melbourne, Melbourne, Victoria; Michelle W. Wong-Brown and Rodney J. Scott, The University of Newcastle and Hunter Medical Research Institute; Rodney J. Scott, Hunter Area Pathology Service, Newcastle, New South Wales, Australia; Na Li, Huazhong University of Science and Technology, Wuhan, Hubei, China; and Gillian Mitchell, BC Cancer Agency, Vancouver, Canada
| | - Ian G Campbell
- Ella R. Thompson, Simone M. Rowley, Na Li, Simone McInerny, Lisa Devereux, Alison H. Trainer, Gillian Mitchell, Paul A. James, and Ian G. Campbell, Peter MacCallum Cancer Centre, East Melbourne; Ella R. Thompson, Alison H. Trainer, Gillian Mitchell, Paul A. James, and Ian G. Campbell, University of Melbourne, Melbourne, Victoria; Michelle W. Wong-Brown and Rodney J. Scott, The University of Newcastle and Hunter Medical Research Institute; Rodney J. Scott, Hunter Area Pathology Service, Newcastle, New South Wales, Australia; Na Li, Huazhong University of Science and Technology, Wuhan, Hubei, China; and Gillian Mitchell, BC Cancer Agency, Vancouver, Canada.
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Gorringe KL, Wakefield M, Hunter SM, Ryland GL, Cheasley D, Anglesio MS, Christie M, Sharma R, Yoland A, Rowley SM, Li J, Gilks B, Allan PE, Stephens AN, Ananda S, Pyman J, Koebel M, McAlpine J, Gourley C, Huntsman DG, deFazio A, Bowtell DDL, Campbell IG, Scott C. Abstract B08: Genomics analyses of less common epithelial ovarian cancer subtypes. Clin Cancer Res 2016. [DOI: 10.1158/1557-3265.ovca15-b08] [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
While the genomics of high-grade serous carcinoma are well-studied in large international consortia, the less common subtypes have been neglected. We have sought to rectify this gap by analyzing international collections of low-grade serous and mucinous ovarian carcinomas and their putative benign and borderline precursors.
Exome sequencing and copy number analysis of low-grade serous carcinomas (n=9) and serous borderline tumours (n=13) and targeted sequencing and copy number analysis in additional carcinomas (n=10) and borderline tumours (n=44) identified recurrent mutations in novel drivers such as EIF1AX and USP9X, as well as the known drivers KRAS, BRAF and NRAS. Copy number changes including 9p and 1p losses were significantly associated with progression from borderline to carcinoma. Exome and targeted sequencing analysis of mucinous carcinomas (GAMuT study) found a surprisingly high proportion (~50%) with TP53 mutations, and mutations in new drivers like RNF43 and ELF3. Despite similarities in early RAS/RAF pathway oncogenic drivers and CDKN2A disruption, the genetics of these two subtypes are otherwise distinct, suggesting differing etiologies and selective pressures.
We also present here the first whole-genome sequencing analysis of a high-grade mucinous ovarian carcinoma collected from multiple sites at autopsy (CASCADE study). The patient, aged just 41 when diagnosed with Stage I mucinous ovarian carcinoma, had a 26-month progression-free interval, including normal CA125 and CA19-9 measurements at 21 months. The primary tumor was mostly borderline in appearance, with only a small focus of carcinoma. At autopsy, the carcinoma was widespread in the body, and whole-genome sequencing data was obtained from deposits in the omentum, iliac lymph node, para-aortic lymph node and upper diaphragm. These data were compared to the primary ovarian tumor and nine other sites sampled at autopsy.
Citation Format: Kylie L. Gorringe, Matthew Wakefield, Sally M. Hunter, Georgina L. Ryland, Dane Cheasley, Michael S. Anglesio, Michael Christie, Raghwa Sharma, Antill Yoland, Simone M. Rowley, Jason Li, Blake Gilks, Prue E. Allan, Andrew N. Stephens, Sumi Ananda, Jan Pyman, Martin Koebel, Jessica McAlpine, Charlie Gourley, David G. Huntsman, Anna deFazio, David DL Bowtell, Ian G. Campbell, Clare Scott. Genomics analyses of less common epithelial ovarian cancer subtypes. [abstract]. In: Proceedings of the AACR Special Conference on Advances in Ovarian Cancer Research: Exploiting Vulnerabilities; Oct 17-20, 2015; Orlando, FL. Philadelphia (PA): AACR; Clin Cancer Res 2016;22(2 Suppl):Abstract nr B08.
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Affiliation(s)
| | | | | | | | - Dane Cheasley
- 1Peter MacCallum Cancer Centre, Melbourne, Australia,
| | | | | | | | - Antill Yoland
- 6Cabrini Health and Southern Health, Clayton, Australia,
| | | | - Jason Li
- 1Peter MacCallum Cancer Centre, Melbourne, Australia,
| | - Blake Gilks
- 3University of British Columbia, Vancouver, BC, Canada,
| | - Prue E. Allan
- 1Peter MacCallum Cancer Centre, Melbourne, Australia,
| | | | - Sumi Ananda
- 4Royal Melbourne Hospital, Parkville, Australia,
| | - Jan Pyman
- 8Royal Womens Hospital, Parkville, Australia,
| | | | | | | | | | | | | | | | - Clare Scott
- 2Walter and Eliza Hall Institute, Parkville, Australia,
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21
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Hunter SM, Rowley SM, Clouston D, Li J, Lupat R, Krishnananthan N, Risbridger G, Taylor R, Bolton D, Campbell IG, Thorne H. Searching for candidate genes in familial BRCAX mutation carriers with prostate cancer. Urol Oncol 2015; 34:120.e9-16. [PMID: 26585945 DOI: 10.1016/j.urolonc.2015.10.009] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.3] [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: 09/01/2015] [Revised: 10/13/2015] [Accepted: 10/13/2015] [Indexed: 01/07/2023]
Abstract
OBJECTIVE A family history of prostate cancer (PC) is a well-recognized high-risk factor for the development of clinically significant PC. To date, traditional linkage and association studies have identified only a limited number of genes and specific gene variants that account for only a small proportion of PC risk. To identify novel PC predisposition genes we performed whole-exome sequencing of PC-affected men from families with a significant history of PC. METHODS AND MATERIALS Exome sequencing was performed on 5 PC-affected men from 3 families where there were multiple cases of PCs and where diagnostic testing returned a negative result for BRCA1 and BRCA2 mutations. Genotyping was performed for all potentially predisposing variants detected within each family on the affected and unaffected male participants. RESULTS Essential splice site, missense, and stop-lost variants were filtered against a recently published candidate gene list. A total of 19 truncating variants and 17 missense variants were identified for genotyping in all prostate-affected and unaffected male participants. In all, 3 missense variants, PCTP, MCRS1, and ATRIP, demonstrated complete segregation and 1 missense variant, PARP2, demonstrated partial segregation with PC. In addition, 3 truncating variants, CYP3A43, DOK3, and PLEKHH3, demonstrated complete segregation and 3 truncation mutations, HEATR5B, GPR124, and HKR1, demonstrated partial segregation with PC. No segregating variants between the 3 families were shared. CONCLUSIONS In all, 10 truncating or missense variants showed either complete or partial segregation with PC in the relevant families. CYP3A43 and PARP2 variants have been shown to occur in other familial PCs and our findings add to the contribution that these variants potentially have in the risk and development of PC in BRCAX cases.
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Affiliation(s)
- Sally M Hunter
- Centre for Cancer Genomics and Predictive Medicine, Peter MacCallum Cancer Centre, East Melbourne, Australia
| | - Simone M Rowley
- Centre for Cancer Genomics and Predictive Medicine, Peter MacCallum Cancer Centre, East Melbourne, Australia
| | | | - Jason Li
- Bioinformatics Core Facility, Peter MacCallum Cancer Centre, East Melbourne, Victoria, Australia
| | - Richard Lupat
- Bioinformatics Core Facility, Peter MacCallum Cancer Centre, East Melbourne, Victoria, Australia
| | - Nishanth Krishnananthan
- kConFab Research Department, Peter MacCallum Cancer Centre, East Melbourne, Victoria, Australia; Department of Urology, Austin Hospital, University of Melbourne, Heidelberg, Australia
| | - Gail Risbridger
- Department of Anatomy and Developmental Biology, Monash University, Clayton, Australia
| | - Renea Taylor
- Department of Physiology, Monash University, Clayton, Australia
| | - Damien Bolton
- Department of Urology, Austin Hospital, University of Melbourne, Heidelberg, Australia
| | - Ian G Campbell
- Sir Peter MacCallum Department of Oncology, University of Melbourne, Parkville, Australia
| | - Heather Thorne
- kConFab Research Department, Peter MacCallum Cancer Centre, East Melbourne, Victoria, Australia; Sir Peter MacCallum Department of Oncology, University of Melbourne, Parkville, Australia.
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22
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Thompson ER, Gorringe KL, Rowley SM, Li N, McInerny S, Wong-Brown MW, Devereux L, Li J, Trainer AH, Mitchell G, Scott RJ, James PA, Campbell IG. Reevaluation of the BRCA2 truncating allele c.9976A > T (p.Lys3326Ter) in a familial breast cancer context. Sci Rep 2015; 5:14800. [PMID: 26455428 PMCID: PMC4601142 DOI: 10.1038/srep14800] [Citation(s) in RCA: 22] [Impact Index Per Article: 2.4] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/28/2015] [Accepted: 07/21/2015] [Indexed: 02/06/2023] Open
Abstract
The breast cancer predisposition gene, BRCA2, has a large number of genetic variants of unknown effect. The variant rs11571833, an A > T transversion in the final exon of the gene that leads to the creation of a stop codon 93 amino acids early (K3326*), is reported as a neutral polymorphism but there is some evidence to suggest an association with an increased risk of breast cancer. We assessed whether this variant was enriched in a cohort of breast cancer cases ascertained through familial cancer clinics compared to population-based non-cancer controls using a targeted sequencing approach. We identified the variant in 66/2634 (2.5%) cases and 33/1996 (1.65%) controls, indicating an enrichment in the breast cancer cases (p = 0.047, OR 1.53, 95% CI 1.00-2.34). This data is consistent with recent iCOGs data suggesting that this variant is not neutral with respect to breast cancer risk. rs11571833 may need to be included in SNP panels for evaluating breast cancer risk.
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Affiliation(s)
- Ella R Thompson
- Cancer Genetics Laboratory, Research Division, Peter MacCallum Cancer Centre, East Melbourne, Victoria, Australia.,Sir Peter MacCallum Department of Oncology, University of Melbourne, Melbourne, Victoria, Australia
| | - Kylie L Gorringe
- Cancer Genetics Laboratory, Research Division, Peter MacCallum Cancer Centre, East Melbourne, Victoria, Australia.,Department of Pathology University of Melbourne, Melbourne, Victoria, Australia.,Sir Peter MacCallum Department of Oncology, University of Melbourne, Melbourne, Victoria, Australia
| | - Simone M Rowley
- Cancer Genetics Laboratory, Research Division, Peter MacCallum Cancer Centre, East Melbourne, Victoria, Australia
| | - Na Li
- Cancer Genetics Laboratory, Research Division, Peter MacCallum Cancer Centre, East Melbourne, Victoria, Australia.,Cancer Biology Research Center, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei, China
| | - Simone McInerny
- Familial Cancer Centre, Peter MacCallum Cancer Centre, East Melbourne, Victoria, Australia
| | - Michelle W Wong-Brown
- Discipline of Medical Genetics and Centre for Information-Based Medicine, The University of Newcastle and Hunter Medical Research Institute, Newcastle, Australia
| | - Lisa Devereux
- Cancer Genetics Laboratory, Research Division, Peter MacCallum Cancer Centre, East Melbourne, Victoria, Australia.,Lifepool, Peter MacCallum Cancer Centre, East Melbourne, Victoria, Australia.,Centre for Epidemiology and Biostatistics, Melbourne School of Population and Global Health, The University of Melbourne, Parkville, Australia
| | - Jason Li
- Bioinformatics Core Facility, Peter MacCallum Cancer Centre, East Melbourne, Victoria, Australia
| | | | - Alison H Trainer
- Cancer Genetics Laboratory, Research Division, Peter MacCallum Cancer Centre, East Melbourne, Victoria, Australia.,Familial Cancer Centre, Peter MacCallum Cancer Centre, East Melbourne, Victoria, Australia
| | - Gillian Mitchell
- Sir Peter MacCallum Department of Oncology, University of Melbourne, Melbourne, Victoria, Australia.,Familial Cancer Centre, Peter MacCallum Cancer Centre, East Melbourne, Victoria, Australia
| | - Rodney J Scott
- Discipline of Medical Genetics and Centre for Information-Based Medicine, The University of Newcastle and Hunter Medical Research Institute, Newcastle, Australia.,Division of Genetics, Hunter Area Pathology Service, Newcastle, Australia
| | - Paul A James
- Department of Pathology University of Melbourne, Melbourne, Victoria, Australia.,Sir Peter MacCallum Department of Oncology, University of Melbourne, Melbourne, Victoria, Australia.,Familial Cancer Centre, Peter MacCallum Cancer Centre, East Melbourne, Victoria, Australia
| | - Ian G Campbell
- Cancer Genetics Laboratory, Research Division, Peter MacCallum Cancer Centre, East Melbourne, Victoria, Australia.,Department of Pathology University of Melbourne, Melbourne, Victoria, Australia.,Sir Peter MacCallum Department of Oncology, University of Melbourne, Melbourne, Victoria, Australia.,Centre for Epidemiology and Biostatistics, Melbourne School of Population and Global Health, The University of Melbourne, Parkville, Australia
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23
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Thompson ER, Gorringe KL, Rowley SM, Wong-Brown MW, McInerny S, Li N, Trainer AH, Devereux L, Doyle MA, Li J, Lupat R, Delatycki MB, Mitchell G, James PA, Scott RJ, Campbell IG. Prevalence of PALB2 mutations in Australian familial breast cancer cases and controls. Breast Cancer Res 2015; 17:111. [PMID: 26283626 PMCID: PMC4539664 DOI: 10.1186/s13058-015-0627-7] [Citation(s) in RCA: 29] [Impact Index Per Article: 3.2] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/15/2015] [Accepted: 08/04/2015] [Indexed: 12/30/2022] Open
Abstract
Introduction PALB2 is emerging as a high-penetrance breast cancer predisposition gene in the order of BRCA1 and BRCA2. However, large studies that have evaluated the full gene rather than just the most common variants in both cases and controls are required before all truncating variants can be included in familial breast cancer variant testing. Methods In this study we analyse almost 2000 breast cancer cases sourced from individuals referred to familial cancer clinics, thus representing typical cases presenting in clinical practice. These cases were compared to a similar number of population-based cancer-free controls. Results We identified a significant excess of truncating variants in cases (1.3 %) versus controls (0.2 %), including six novel variants (p = 0.0001; odds ratio (OR) 6.58, 95 % confidence interval (CI) 2.3–18.9). Three of the four control individuals carrying truncating variants had at least one relative with breast cancer. There was no excess of missense variants in cases overall, but the common c.1676A > G variant (rs152451) was significantly enriched in cases and may represent a low-penetrance polymorphism (p = 0.002; OR 1.24 (95 % CI 1.09–1.47). Conclusions Our findings support truncating variants in PALB2 as high-penetrance breast cancer susceptibility alleles, and suggest that a common missense variant may also lead to a low level of increased breast cancer risk.
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Affiliation(s)
- Ella R Thompson
- Cancer Genetics Laboratory, Peter MacCallum Cancer Centre, Locked Bag 1, A'Beckett St, East Melbourne, VIC, 8006, Australia. .,The Sir Peter MacCallum Department of Oncology, St Andrews Place, East Melbourne, VIC, 3002, Australia.
| | - Kylie L Gorringe
- Cancer Genetics Laboratory, Peter MacCallum Cancer Centre, Locked Bag 1, A'Beckett St, East Melbourne, VIC, 8006, Australia. .,The Sir Peter MacCallum Department of Oncology, St Andrews Place, East Melbourne, VIC, 3002, Australia. .,Department of Pathology, University of Melbourne, Corner GrattonStree and Royal Parade, Melbourne, VIC, 3010, Australia.
| | - Simone M Rowley
- Cancer Genetics Laboratory, Peter MacCallum Cancer Centre, Locked Bag 1, A'Beckett St, East Melbourne, VIC, 8006, Australia.
| | - Michelle W Wong-Brown
- Discipline of Medical Genetics and Centre for Information-Based Medicine, The University of Newcastle and Hunter Medical Research Institute, 1 Kookaburra Circuit, Newcastle, NSW, 2305, Australia.
| | - Simone McInerny
- Familial Cancer Centre, Peter MacCallum Cancer Centre, St Andrews Place, East Melbourne, VIC, 3002, Australia.
| | - Na Li
- Cancer Genetics Laboratory, Peter MacCallum Cancer Centre, Locked Bag 1, A'Beckett St, East Melbourne, VIC, 8006, Australia. .,Cancer Biology Research Center, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, 1037 Luoyu Road, Wuhan, Hubei, China.
| | - Alison H Trainer
- Cancer Genetics Laboratory, Peter MacCallum Cancer Centre, Locked Bag 1, A'Beckett St, East Melbourne, VIC, 8006, Australia. .,Familial Cancer Centre, Peter MacCallum Cancer Centre, St Andrews Place, East Melbourne, VIC, 3002, Australia.
| | - Lisa Devereux
- Cancer Genetics Laboratory, Peter MacCallum Cancer Centre, Locked Bag 1, A'Beckett St, East Melbourne, VIC, 8006, Australia. .,LifePool, Peter MacCallum Cancer Centre, St Andrews Place, East Melbourne, VIC, 3002, Australia.
| | - Maria A Doyle
- Bioinformatics Core Facility, Peter MacCallum Cancer Centre, St Andrews Place, East Melbourne, VIC, 3002, Australia.
| | - Jason Li
- Bioinformatics Core Facility, Peter MacCallum Cancer Centre, St Andrews Place, East Melbourne, VIC, 3002, Australia.
| | - Richard Lupat
- Bioinformatics Core Facility, Peter MacCallum Cancer Centre, St Andrews Place, East Melbourne, VIC, 3002, Australia.
| | | | | | - Gillian Mitchell
- The Sir Peter MacCallum Department of Oncology, St Andrews Place, East Melbourne, VIC, 3002, Australia. .,Familial Cancer Centre, Peter MacCallum Cancer Centre, St Andrews Place, East Melbourne, VIC, 3002, Australia. .,Hereditary Cancer Program, BC Cancer Agency, 600 West 10th Avenue, Vancouver, BC, V5Z 4E6, Canada.
| | - Paul A James
- The Sir Peter MacCallum Department of Oncology, St Andrews Place, East Melbourne, VIC, 3002, Australia. .,Department of Pathology, University of Melbourne, Corner GrattonStree and Royal Parade, Melbourne, VIC, 3010, Australia. .,Familial Cancer Centre, Peter MacCallum Cancer Centre, St Andrews Place, East Melbourne, VIC, 3002, Australia.
| | - Rodney J Scott
- Cancer Biology Research Center, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, 1037 Luoyu Road, Wuhan, Hubei, China. .,Division of Genetics, Hunter Area Pathology Service, Lookout Road, Newcastle, NSW, 2305, Australia.
| | - Ian G Campbell
- Cancer Genetics Laboratory, Peter MacCallum Cancer Centre, Locked Bag 1, A'Beckett St, East Melbourne, VIC, 8006, Australia. .,The Sir Peter MacCallum Department of Oncology, St Andrews Place, East Melbourne, VIC, 3002, Australia. .,Department of Pathology, University of Melbourne, Corner GrattonStree and Royal Parade, Melbourne, VIC, 3010, Australia.
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Ryland GL, Doyle MA, Goode D, Boyle SE, Choong DYH, Rowley SM, Li J, Bowtell DDL, Tothill RW, Campbell IG, Gorringe KL. Loss of heterozygosity: what is it good for? BMC Med Genomics 2015; 8:45. [PMID: 26231170 PMCID: PMC4522148 DOI: 10.1186/s12920-015-0123-z] [Citation(s) in RCA: 53] [Impact Index Per Article: 5.9] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/16/2015] [Accepted: 07/22/2015] [Indexed: 12/24/2022] Open
Abstract
BACKGROUND Loss of heterozygosity (LOH) is a common genetic event in cancer development, and is known to be involved in the somatic loss of wild-type alleles in many inherited cancer syndromes. The wider involvement of LOH in cancer is assumed to relate to unmasking a somatically mutated tumour suppressor gene through loss of the wild type allele. METHODS We analysed 86 ovarian carcinomas for mutations in 980 genes selected on the basis of their location in common regions of LOH. RESULTS We identified 36 significantly mutated genes, but these could only partly account for the quanta of LOH in the samples. Using our own and TCGA data we then evaluated five possible models to explain the selection for non-random accumulation of LOH in ovarian cancer genomes: 1. Classic two-hit hypothesis: high frequency biallelic genetic inactivation of tumour suppressor genes. 2. Epigenetic two-hit hypothesis: biallelic inactivation through methylation and LOH. 3. Multiple alternate-gene biallelic inactivation: low frequency gene disruption. 4. Haplo-insufficiency: Single copy gene disruption. 5. Modified two-hit hypothesis: reduction to homozygosity of low penetrance germline predisposition alleles. We determined that while high-frequency biallelic gene inactivation under model 1 is rare, regions of LOH (particularly copy-number neutral LOH) are enriched for deleterious mutations and increased promoter methylation, while copy-number loss LOH regions are likely to contain under-expressed genes suggestive of haploinsufficiency. Reduction to homozygosity of cancer predisposition SNPs may also play a minor role. CONCLUSION It is likely that selection for regions of LOH depends on its effect on multiple genes. Selection for copy number neutral LOH may better fit the classic two-hit model whereas selection for copy number loss may be attributed to its effect on multi-gene haploinsufficiency. LOH mapping alone is unlikely to be successful in identifying novel tumour suppressor genes; a combined approach may be more effective.
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Affiliation(s)
- Georgina L Ryland
- Cancer Genetics Laboratory, Peter MacCallum Cancer Centre, East Melbourne, Victoria, Australia. .,Centre for Cancer Research, Monash Institute of Medical Research, Monash University, Clayton, Victoria, Australia.
| | - Maria A Doyle
- Bioinformatics Core Facility, Peter MacCallum Cancer Centre, East Melbourne, Victoria, Australia.
| | - David Goode
- Bioinformatics and Cancer Genomics Laboratory, Peter MacCallum Cancer Centre, East Melbourne, Victoria, Australia.
| | - Samantha E Boyle
- Cancer Genetics Laboratory, Peter MacCallum Cancer Centre, East Melbourne, Victoria, Australia.
| | - David Y H Choong
- Cancer Genetics Laboratory, Peter MacCallum Cancer Centre, East Melbourne, Victoria, Australia.
| | - Simone M Rowley
- Cancer Genetics Laboratory, Peter MacCallum Cancer Centre, East Melbourne, Victoria, Australia.
| | - Jason Li
- Bioinformatics Core Facility, Peter MacCallum Cancer Centre, East Melbourne, Victoria, Australia.
| | | | - David D L Bowtell
- Cancer Genomics and Genetics Laboratory, Peter MacCallum Cancer Centre, East Melbourne, Victoria, Australia.
| | - Richard W Tothill
- Molecular Genomics Core Facility, Peter MacCallum Cancer Centre, East Melbourne, Victoria, Australia.
| | - Ian G Campbell
- Cancer Genetics Laboratory, Peter MacCallum Cancer Centre, East Melbourne, Victoria, Australia. .,Sir Peter MacCallum Department of Oncology, University of Melbourne, Parkville, Victoria, Australia. .,Department of Pathology, University of Melbourne, Parkville, Victoria, Australia.
| | - Kylie L Gorringe
- Cancer Genetics Laboratory, Peter MacCallum Cancer Centre, East Melbourne, Victoria, Australia. .,Sir Peter MacCallum Department of Oncology, University of Melbourne, Parkville, Victoria, Australia. .,Department of Pathology, University of Melbourne, Parkville, Victoria, Australia.
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25
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Goode DL, Hunter SM, Doyle MA, Ma T, Rowley SM, Choong D, Ryland GL, Campbell IG. A simple consensus approach improves somatic mutation prediction accuracy. Genome Med 2013; 5:90. [PMID: 24073752 PMCID: PMC3978449 DOI: 10.1186/gm494] [Citation(s) in RCA: 29] [Impact Index Per Article: 2.6] [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: 05/14/2013] [Accepted: 09/20/2013] [Indexed: 12/14/2022] Open
Abstract
Differentiating true somatic mutations from artifacts in massively parallel sequencing data is an immense challenge. To develop methods for optimal somatic mutation detection and to identify factors influencing somatic mutation prediction accuracy, we validated predictions from three somatic mutation detection algorithms, MuTect, JointSNVMix2 and SomaticSniper, by Sanger sequencing. Full consensus predictions had a validation rate of >98%, but some partial consensus predictions validated too. In cases of partial consensus, read depth and mapping quality data, along with additional prediction methods, aided in removing inaccurate predictions. Our consensus approach is fast, flexible and provides a high-confidence list of putative somatic mutations.
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Affiliation(s)
- David L Goode
- Peter MacCallum Cancer Centre, Sarcoma Genetics and Genomics Laboratory, St. Andrew's Place, East Melbourne, Victoria, Australia ; Sir Peter MacCallum Department of Oncology, University of Melbourne, Parkville, Victoria, Australia
| | - Sally M Hunter
- Peter MacCallum Cancer Centre, Cancer Genetics Laboratory, St. Andrew's Place, East Melbourne, Victoria, Australia
| | - Maria A Doyle
- Peter MacCallum Cancer Centre, Bioinformatics Core Facility, St. Andrew's Place, East Melbourne, Victoria, Australia
| | - Tao Ma
- Peter MacCallum Cancer Centre, Bioinformatics Core Facility, St. Andrew's Place, East Melbourne, Victoria, Australia ; Bioinformatics Graduate Program, University of Melbourne, Parkville, Victoria, Australia
| | - Simone M Rowley
- Peter MacCallum Cancer Centre, Cancer Genetics Laboratory, St. Andrew's Place, East Melbourne, Victoria, Australia
| | - David Choong
- Peter MacCallum Cancer Centre, Cancer Genetics Laboratory, St. Andrew's Place, East Melbourne, Victoria, Australia
| | - Georgina L Ryland
- Peter MacCallum Cancer Centre, Cancer Genetics Laboratory, St. Andrew's Place, East Melbourne, Victoria, Australia ; Centre for Cancer Research, Monash Institute of Medical Research, Monash University, Clayton, Victoria, Australia
| | - Ian G Campbell
- Peter MacCallum Cancer Centre, Cancer Genetics Laboratory, St. Andrew's Place, East Melbourne, Victoria, Australia ; Sir Peter MacCallum Department of Oncology, University of Melbourne, Parkville, Victoria, Australia ; Department of Pathology, University of Melbourne, Parkville, Victoria, Australia
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Ryland GL, Hunter SM, Doyle MA, Rowley SM, Christie M, Allan PE, Bowtell DDL, Gorringe KL, Campbell IG. RNF43 is a tumour suppressor gene mutated in mucinous tumours of the ovary. J Pathol 2013; 229:469-76. [PMID: 23096461 DOI: 10.1002/path.4134] [Citation(s) in RCA: 88] [Impact Index Per Article: 8.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/25/2012] [Revised: 09/20/2012] [Accepted: 10/07/2012] [Indexed: 12/12/2022]
Abstract
Mucinous carcinomas represent a distinct morphological subtype which can arise from several organ sites, including the ovary, and their genetic characteristics are largely under-described. Exome sequencing of 12 primary mucinous ovarian tumours identified RNF43 as the most frequently somatically mutated novel gene, secondary to KRAS and mutated at a frequency equal to that of TP53 and BRAF. Further screening of RNF43 in a larger cohort of ovarian tumours identified additional mutations, with a total frequency of 2/22 (9%) in mucinous ovarian borderline tumours and 6/29 (21%) in mucinous ovarian carcinomas. Seven mutations were predicted to truncate the protein and one missense mutation was predicted to be deleterious by in silico analysis. Six tumours had allelic imbalance at the RNF43 locus, with loss of the wild-type allele. The mutation spectrum strongly suggests that RNF43 is an important tumour suppressor gene in mucinous ovarian tumours, similar to its reported role in mucinous pancreatic precancerous cysts.
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Affiliation(s)
- Georgina L Ryland
- Victorian Breast Cancer Research Consortium (VBCRC), Cancer Genetics Laboratory, Peter MacCallum Cancer Centre, East Melbourne, Victoria, Australia
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Thompson ER, Rowley SM, Sawyer S, kConfab, Eccles DM, Trainer AH, Mitchell G, James PA, Campbell IG. Analysis of RAD51D in ovarian cancer patients and families with a history of ovarian or breast cancer. PLoS One 2013; 8:e54772. [PMID: 23372765 PMCID: PMC3555982 DOI: 10.1371/journal.pone.0054772] [Citation(s) in RCA: 33] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/02/2012] [Accepted: 12/14/2012] [Indexed: 12/25/2022] Open
Abstract
Mutations in RAD51D have been associated with an increased risk of hereditary ovarian cancer and although they have been observed in the context of breast and ovarian cancer families, the association with breast cancer is unclear. The aim of this current study was to validate the reported association of RAD51D with ovarian cancer and assess for an association with breast cancer. We screened for RAD51D mutations in BRCA1/2 mutation-negative index cases from 1,060 familial breast and/or ovarian cancer families (including 741 affected by breast cancer only) and in 245 unselected ovarian cancer cases. Exons containing novel non-synonymous variants were screened in 466 controls. Two overtly deleterious RAD51D mutations were identified among the unselected ovarian cancers cases (0.82%) but none were detected among the 1,060 families. Our data provide additional evidence that RAD51D mutations are enriched among ovarian cancer patients, but are extremely rare among familial breast cancer patients.
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Affiliation(s)
- Ella R Thompson
- VBCRC Cancer Genetics Laboratory, Peter MacCallum Cancer Centre, East Melbourne, Victoria, Australia.
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28
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Thompson ER, Doyle MA, Ryland GL, Rowley SM, Choong DYH, Tothill RW, Thorne H, Barnes DR, Li J, Ellul J, Philip GK, Antill YC, James PA, Trainer AH, Mitchell G, Campbell IG. Exome sequencing identifies rare deleterious mutations in DNA repair genes FANCC and BLM as potential breast cancer susceptibility alleles. PLoS Genet 2012; 8:e1002894. [PMID: 23028338 PMCID: PMC3459953 DOI: 10.1371/journal.pgen.1002894] [Citation(s) in RCA: 163] [Impact Index Per Article: 13.6] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/09/2012] [Accepted: 06/28/2012] [Indexed: 11/25/2022] Open
Abstract
Despite intensive efforts using linkage and candidate gene approaches, the genetic etiology for the majority of families with a multi-generational breast cancer predisposition is unknown. In this study, we used whole-exome sequencing of thirty-three individuals from 15 breast cancer families to identify potential predisposing genes. Our analysis identified families with heterozygous, deleterious mutations in the DNA repair genes FANCC and BLM, which are responsible for the autosomal recessive disorders Fanconi Anemia and Bloom syndrome. In total, screening of all exons in these genes in 438 breast cancer families identified three with truncating mutations in FANCC and two with truncating mutations in BLM. Additional screening of FANCC mutation hotspot exons identified one pathogenic mutation among an additional 957 breast cancer families. Importantly, none of the deleterious mutations were identified among 464 healthy controls and are not reported in the 1,000 Genomes data. Given the rarity of Fanconi Anemia and Bloom syndrome disorders among Caucasian populations, the finding of multiple deleterious mutations in these critical DNA repair genes among high-risk breast cancer families is intriguing and suggestive of a predisposing role. Our data demonstrate the utility of intra-family exome-sequencing approaches to uncover cancer predisposition genes, but highlight the major challenge of definitively validating candidates where the incidence of sporadic disease is high, germline mutations are not fully penetrant, and individual predisposition genes may only account for a tiny proportion of breast cancer families. Currently, we know that a woman who inherits a fault in one of two genes, BRCA1 or BRCA2, has a high risk of developing both breast and ovarian cancer. However, such faults account for only half of all families with a strong family history of breast cancer. In this study, we planned to identify new genes that may be associated with an increased risk of developing breast cancer by looking for faults in every gene in the blood DNA of multiple women with breast cancer from large families with a strong family history of the condition over multiple generations. We can then track which gene fault is present in all the women with breast cancer in that family and in other families, but is not found in the women who did not develop breast cancer or have no family history. Using this approach, we identified faults in two genes, Fanconi C and Bloom helicase, in six families. Faults in these genes appear to increase the risk of developing breast cancer. Both these genes work in a similar way as BRCA1 and BRCA2, and this highlights the importance of these functions in preventing breast cancer. Further studies need to be done to confirm our results.
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Affiliation(s)
- Ella R. Thompson
- Victorian Breast Cancer Research Consortium Cancer Genetics Laboratory, Peter MacCallum Cancer Centre, East Melbourne, Victoria, Australia
| | - Maria A. Doyle
- Bioinformatics Core Facility, Peter MacCallum Cancer Centre, East Melbourne, Victoria, Australia
| | - Georgina L. Ryland
- Victorian Breast Cancer Research Consortium Cancer Genetics Laboratory, Peter MacCallum Cancer Centre, East Melbourne, Victoria, Australia
- Centre for Cancer Research, Monash Institute of Medical Research, Monash University, Clayton, Victoria, Australia
| | - Simone M. Rowley
- Victorian Breast Cancer Research Consortium Cancer Genetics Laboratory, Peter MacCallum Cancer Centre, East Melbourne, Victoria, Australia
| | - David Y. H. Choong
- Victorian Breast Cancer Research Consortium Cancer Genetics Laboratory, Peter MacCallum Cancer Centre, East Melbourne, Victoria, Australia
| | - Richard W. Tothill
- Molecular Genomics Core Facility, Peter MacCallum Cancer Centre, East Melbourne, Victoria, Australia
| | - Heather Thorne
- Kathleen Cunningham Foundation Consortium for Research into Familial Breast Cancer (kConFab), Peter MacCallum Cancer Centre, East Melbourne, Victoria, Australia
| | - kConFab
- Kathleen Cunningham Foundation Consortium for Research into Familial Breast Cancer (kConFab), Peter MacCallum Cancer Centre, East Melbourne, Victoria, Australia
| | - Daniel R. Barnes
- Centre for Cancer Genetic Epidemiology, Department of Public Health and Primary Care, University of Cambridge, Cambridge, United Kingdom
| | - Jason Li
- Bioinformatics Core Facility, Peter MacCallum Cancer Centre, East Melbourne, Victoria, Australia
| | - Jason Ellul
- Bioinformatics Core Facility, Peter MacCallum Cancer Centre, East Melbourne, Victoria, Australia
| | - Gayle K. Philip
- Life Sciences Computation Centre, Victorian Life Sciences Computation Initiative, Carlton, Victoria, Australia
| | - Yoland C. Antill
- Victorian Breast Cancer Research Consortium Cancer Genetics Laboratory, Peter MacCallum Cancer Centre, East Melbourne, Victoria, Australia
| | - Paul A. James
- Familial Cancer Centre, Peter MacCallum Cancer Centre, East Melbourne, Victoria, Australia
- Sir Peter MacCallum Department of Oncology, University of Melbourne, Parkville, Victoria, Australia
| | - Alison H. Trainer
- Victorian Breast Cancer Research Consortium Cancer Genetics Laboratory, Peter MacCallum Cancer Centre, East Melbourne, Victoria, Australia
- Familial Cancer Centre, Peter MacCallum Cancer Centre, East Melbourne, Victoria, Australia
| | - Gillian Mitchell
- Familial Cancer Centre, Peter MacCallum Cancer Centre, East Melbourne, Victoria, Australia
- Sir Peter MacCallum Department of Oncology, University of Melbourne, Parkville, Victoria, Australia
| | - Ian G. Campbell
- Victorian Breast Cancer Research Consortium Cancer Genetics Laboratory, Peter MacCallum Cancer Centre, East Melbourne, Victoria, Australia
- Sir Peter MacCallum Department of Oncology, University of Melbourne, Parkville, Victoria, Australia
- Department of Pathology, University of Melbourne, Parkville, Victoria, Australia
- * E-mail:
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Hunter SM, Gorringe KL, Christie M, Rowley SM, Bowtell DD, Campbell IG. Pre-Invasive Ovarian Mucinous Tumors Are Characterized by CDKN2A and RAS Pathway Aberrations. Clin Cancer Res 2012; 18:5267-77. [DOI: 10.1158/1078-0432.ccr-12-1103] [Citation(s) in RCA: 44] [Impact Index Per Article: 3.7] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/16/2022]
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Ryland GL, Bearfoot JL, Doyle MA, Boyle SE, Choong DYH, Rowley SM, Tothill RW, Gorringe KL, Campbell IG. MicroRNA genes and their target 3'-untranslated regions are infrequently somatically mutated in ovarian cancers. PLoS One 2012; 7:e35805. [PMID: 22536442 PMCID: PMC3334977 DOI: 10.1371/journal.pone.0035805] [Citation(s) in RCA: 25] [Impact Index Per Article: 2.1] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/29/2012] [Accepted: 03/22/2012] [Indexed: 01/21/2023] Open
Abstract
MicroRNAs are key regulators of gene expression and have been shown to have altered expression in a variety of cancer types, including epithelial ovarian cancer. MiRNA function is most often achieved through binding to the 3′-untranslated region of the target protein coding gene. Mutation screening using massively-parallel sequencing of 712 miRNA genes in 86 ovarian cancer cases identified only 5 mutated miRNA genes, each in a different case. One mutation was located in the mature miRNA, and three mutations were predicted to alter the secondary structure of the miRNA transcript. Screening of the 3′-untranslated region of 18 candidate cancer genes identified one mutation in each of AKT2, EGFR, ERRB2 and CTNNB1. The functional effect of these mutations is unclear, as expression data available for AKT2 and EGFR showed no increase in gene transcript. Mutations in miRNA genes and 3′-untranslated regions are thus uncommon in ovarian cancer.
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Affiliation(s)
- Georgina L. Ryland
- Victorian Breast Cancer Research Consortium Cancer Genetics Laboratory, Peter MacCallum Cancer Centre, East Melbourne, Victoria, Australia
- Centre for Cancer Research, Monash Institute of Medical Research, Monash University, Clayton, Victoria, Australia
| | - Jennifer L. Bearfoot
- Victorian Breast Cancer Research Consortium Cancer Genetics Laboratory, Peter MacCallum Cancer Centre, East Melbourne, Victoria, Australia
- Department of Pathology, University of Melbourne, Parkville, Victoria, Australia
| | - Maria A. Doyle
- Bioinformatics Core Facility, Peter MacCallum Cancer Centre, East Melbourne, Victoria, Australia
| | - Samantha E. Boyle
- Victorian Breast Cancer Research Consortium Cancer Genetics Laboratory, Peter MacCallum Cancer Centre, East Melbourne, Victoria, Australia
| | - David Y. H. Choong
- Victorian Breast Cancer Research Consortium Cancer Genetics Laboratory, Peter MacCallum Cancer Centre, East Melbourne, Victoria, Australia
| | - Simone M. Rowley
- Victorian Breast Cancer Research Consortium Cancer Genetics Laboratory, Peter MacCallum Cancer Centre, East Melbourne, Victoria, Australia
| | | | - Richard W. Tothill
- Molecular Genomics Core Facility, Peter MacCallum Cancer Centre, East Melbourne, Victoria, Australia
| | - Kylie L. Gorringe
- Victorian Breast Cancer Research Consortium Cancer Genetics Laboratory, Peter MacCallum Cancer Centre, East Melbourne, Victoria, Australia
- Department of Pathology, University of Melbourne, Parkville, Victoria, Australia
| | - Ian G. Campbell
- Victorian Breast Cancer Research Consortium Cancer Genetics Laboratory, Peter MacCallum Cancer Centre, East Melbourne, Victoria, Australia
- Department of Pathology, University of Melbourne, Parkville, Victoria, Australia
- * E-mail:
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Evans-Galea MV, Carrodus N, Rowley SM, Corben LA, Tai G, Saffery R, Galati JC, Wong NC, Craig JM, Lynch DR, Regner SR, Brocht AFD, Perlman SL, Bushara KO, Gomez CM, Wilmot GR, Li L, Varley E, Delatycki MB, Sarsero JP. FXN methylation predicts expression and clinical outcome in Friedreich ataxia. Ann Neurol 2012; 71:487-97. [PMID: 22522441 DOI: 10.1002/ana.22671] [Citation(s) in RCA: 88] [Impact Index Per Article: 7.3] [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: 12/16/2022]
Abstract
OBJECTIVE Friedreich ataxia (FA) is the most common ataxia and results from an expanded GAA repeat in the first intron of FXN. This leads to epigenetic modifications and reduced frataxin. We investigated the relationships between genetic, epigenetic, and clinical parameters in a large case-control study of FA. METHODS Clinical data and samples were obtained from individuals with FA during annual visits to our dedicated FA clinic. GAA expansions were evaluated by polymerase chain reaction (PCR) and restriction endonuclease digest. DNA methylation was measured using bisulfite-based EpiTYPER MassARRAY (Sequenom, San Diego, CA). FXN expression was determined using real-time reverse transcriptase PCR. Significant correlations between the different parameters were examined using the nonparametric Spearman rank correlation coefficient, as well as univariate and multivariate regression modeling. RESULTS Characteristic DNA methylation was identified upstream and downstream of the expansion, and validated in an independent FA cohort. Univariate and multivariate analyses showed significant inverse correlations between upstream methylation and FXN expression, and variation in downstream methylation and age of onset. FXN expression also inversely correlated with the Friedreich Ataxia Rating Scale score, an indicator of disease severity. INTERPRETATION These novel findings provide compelling evidence for the link between the GAA expansion, the DNA methylation profile, FXN expression, and clinical outcome in FA. Epigenetic profiling of FXN could be used to gain greater insight into disease onset and progression, but also as a biomarker to learn more about specific treatment responses and pharmacological mechanism(s). This work also highlights the potential for developing therapies aimed at increasing frataxin levels to treat this debilitating disease.
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Affiliation(s)
- Marguerite V Evans-Galea
- Bruce Lefroy Centre for Genetic Health Research, Murdoch Childrens Research Institute, Parkville, Victoria, Australia.
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Puspasari N, Rowley SM, Gordon L, Lockhart PJ, Ioannou PA, Delatycki MB, Sarsero JP. Long range regulation of human FXN gene expression. PLoS One 2011; 6:e22001. [PMID: 21760943 PMCID: PMC3132285 DOI: 10.1371/journal.pone.0022001] [Citation(s) in RCA: 9] [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] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/10/2011] [Accepted: 06/10/2011] [Indexed: 01/16/2023] Open
Abstract
BACKGROUND Friedreich ataxia (FRDA) is the most common form of hereditary ataxia characterized by the presence of a GAA trinucleotide repeat expansion within the first intron of the FXN gene. The expansion inhibits FXN gene expression resulting in an insufficiency of frataxin protein. METHODOLOGY/PRINCIPAL FINDING In this study, computational analyses were performed on the 21.3 kb region upstream of exon 1 of the human FXN gene and orthologs from other species in order to identify conserved non-coding DNA sequences with potential regulatory functions. The conserved non-coding regions identified were individually analyzed in two complementing assay systems, a conventional luciferase reporter system and a novel Bacterial Artificial Chromosome (BAC)-based genomic reporter. The BAC system allows the evaluation of gene expression to be made in the context of its entire genomic locus and preserves the normal location and spacing of many regulatory elements which may be positioned over large distances from the initiation codon of the gene. CONCLUSIONS/SIGNIFICANCE The two approaches were used to identify a region of 17 bp located approximately 4.9 kb upstream of the first exon of the FXN gene that plays an important role in FXN gene expression. Modulation of FXN gene expression was found to be mediated by the action of the Oct-1 transcription factor at this site. A better understanding of cis-acting regulatory elements that control FXN gene expression has the potential to develop new strategies for the upregulation of the FXN gene as a therapy for FRDA.
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Affiliation(s)
- Novita Puspasari
- Bruce Lefroy Centre for Genetic Health Research, Murdoch Childrens Research Institute, Royal Children's Hospital, Parkville, Victoria, Australia
- Cell and Gene Therapy, Murdoch Childrens Research Institute, Royal Children's Hospital, Parkville, Victoria, Australia
- Department of Paediatrics, The University of Melbourne, Royal Children's Hospital, Parkville, Victoria, Australia
| | - Simone M. Rowley
- Bruce Lefroy Centre for Genetic Health Research, Murdoch Childrens Research Institute, Royal Children's Hospital, Parkville, Victoria, Australia
| | - Lavinia Gordon
- Bioinformatics Unit, Murdoch Childrens Research Institute, Royal Children's Hospital, Parkville, Victoria, Australia
| | - Paul J. Lockhart
- Bruce Lefroy Centre for Genetic Health Research, Murdoch Childrens Research Institute, Royal Children's Hospital, Parkville, Victoria, Australia
- Department of Paediatrics, The University of Melbourne, Royal Children's Hospital, Parkville, Victoria, Australia
| | - Panos A. Ioannou
- Cell and Gene Therapy, Murdoch Childrens Research Institute, Royal Children's Hospital, Parkville, Victoria, Australia
- Department of Paediatrics, The University of Melbourne, Royal Children's Hospital, Parkville, Victoria, Australia
| | - Martin B. Delatycki
- Bruce Lefroy Centre for Genetic Health Research, Murdoch Childrens Research Institute, Royal Children's Hospital, Parkville, Victoria, Australia
- Department of Paediatrics, The University of Melbourne, Royal Children's Hospital, Parkville, Victoria, Australia
- Department of Clinical Genetics, Austin Health, Heidelberg, Victoria, Australia
| | - Joseph P. Sarsero
- Bruce Lefroy Centre for Genetic Health Research, Murdoch Childrens Research Institute, Royal Children's Hospital, Parkville, Victoria, Australia
- Cell and Gene Therapy, Murdoch Childrens Research Institute, Royal Children's Hospital, Parkville, Victoria, Australia
- Department of Paediatrics, The University of Melbourne, Royal Children's Hospital, Parkville, Victoria, Australia
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Holloway TP, Rowley SM, Delatycki MB, Sarsero JP. Detection of interruptions in the GAA trinucleotide repeat expansion in the FXN gene of Friedreich ataxia. Biotechniques 2011; 50:182-6. [PMID: 21486239 DOI: 10.2144/000113615] [Citation(s) in RCA: 15] [Impact Index Per Article: 1.2] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/10/2010] [Accepted: 01/06/2011] [Indexed: 11/23/2022] Open
Abstract
Friedreich ataxia is a neurodegenerative disorder caused by the expansion of a GAA trinucleotide repeat sequence within the first intron of the FXN gene. Interruptions in the GAA repeat may serve to alleviate the inhibitory effects of the GAA expansion on FXN gene expression and to decrease pathogenicity. We have developed a simple and rapid PCR- and restriction enzyme-based assay to assess the purity of GAA repeat sequences.
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Affiliation(s)
- Timothy P Holloway
- Bruce Lefroy Centre for Genetic Health Research, Murdoch Childrens Research Institute, Royal Children's Hospital, Parkville, Victoria, Australia
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Abstract
Wolbachia pipientis is an endosymbiotic bacterium common to arthropods and filarial nematodes. This study presents the first survey and characterization of Wolbachia pipientis that infect spiders. All spiders were collected from Queensland, Australia during 2002-2003 and screened for Wolbachia infection using PCR approaches. The Wolbachia strains present in the spiders are diverse, paraphyletic, and for the most part closely related to strains that infect insects. We have also identified several spider Wolbachia strains that form a lineage outside the currently recognized six main Wolbachia supergroups (A-F). Incongruence between spider and Wolbachia phylogenies indicates a history of horizontal transmission of the bacterium in these host taxa. Like other arthropods, spiders are capable of harboring multiple Wolbachia strains.
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Affiliation(s)
- Simone M Rowley
- Department of Zoology and Entomology, School of Life Sciences, University of Queensland, St. Lucia, QLD 4072, Australia
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35
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Kinn JW, O'Toole MF, Rowley SM, Marek JC, Bufalino VJ, Brown AS. Effectiveness of the electronic medical record in cholesterol management in patients with coronary artery disease (Virtual Lipid Clinic). Am J Cardiol 2001; 88:163-5, A5. [PMID: 11448414 DOI: 10.1016/s0002-9149(01)01612-5] [Citation(s) in RCA: 22] [Impact Index Per Article: 1.0] [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: 11/16/2022]
Abstract
This study demonstrates that the Virtual Lipid Clinic, an electronic medical record with computer-assisted cholesterol management, is associated with improved lipid management in patients with coronary artery disease. In comparison to traditional documentation methods with "pen and paper" charts, outpatient visits utilizing the electronic medical record were associated with a twofold increase in low-density lipoprotein (LDL) documentation, a threefold increase in achieving LDL goal, and a 30% increase in the use of lipid-lowering drugs.
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Affiliation(s)
- J W Kinn
- Midwest Heart Specialists, Ltd., Downers Grove, Illinois 60515, USA.
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