Identification of candidate cancer predisposing variants by performing whole-exome sequencing on index patients from BRCA1 and BRCA2-negative breast cancer families.


Journal

BMC cancer
ISSN: 1471-2407
Titre abrégé: BMC Cancer
Pays: England
ID NLM: 100967800

Informations de publication

Date de publication:
04 Apr 2019
Historique:
received: 28 08 2018
accepted: 20 03 2019
entrez: 6 4 2019
pubmed: 6 4 2019
medline: 14 8 2019
Statut: epublish

Résumé

In the majority of familial breast cancer (BC) families, the etiology of the disease remains unresolved. To identify missing BC heritability resulting from relatively rare variants (minor allele frequency ≤ 1%), we have performed whole exome sequencing followed by variant analysis in a virtual panel of 492 cancer-associated genes on BC patients from BRCA1 and BRCA2 negative families with elevated BC risk. BC patients from 54 BRCA1 and BRCA2-negative families with elevated BC risk and 120 matched controls were considered for germline DNA whole exome sequencing. Rare variants identified in the exome and in a virtual panel of cancer-associated genes [492 genes associated with different types of (hereditary) cancer] were compared between BC patients and controls. Nonsense, frame-shift indels and splice-site variants (strong protein-damaging variants, called PDAVs later on) observed in BC patients within the genes of the panel, which we estimated to possess the highest probability to predispose to BC, were further validated using an alternative sequencing procedure. Exome- and cancer-associated gene panel-wide variant analysis show that there is no significant difference in the average number of rare variants found in BC patients compared to controls. However, the genes in the cancer-associated gene panel with nonsense variants were more than two-fold over-represented in women with BC and commonly involved in the DNA double-strand break repair process. Approximately 44% (24 of 54) of BC patients harbored 31 PDAVs, of which 11 were novel. These variants were found in genes associated with known or suspected BC predisposition (PALB2, BARD1, CHEK2, RAD51C and FANCA) or in predisposing genes linked to other cancer types but not well-studied in the context of familial BC (EXO1, RECQL4, CCNH, MUS81, TDP1, DCLRE1A, DCLRE1C, PDE11A and RINT1) and genes associated with different hereditary syndromes but not yet clearly associated with familial cancer syndromes (ABCC11, BBS10, CD96, CYP1A1, DHCR7, DNAH11, ESCO2, FLT4, HPS6, MYH8, NME8 and TTC8). Exome-wide, only a few genes appeared to be enriched for PDAVs in the familial BC patients compared to controls. We have identified a series of novel candidate BC predisposition variants/genes. These variants/genes should be further investigated in larger cohorts/case-control studies. Other studies including co-segregation analyses in affected families, locus-specific loss of heterozygosity and functional studies should shed further light on their relevance for BC risk.

Sections du résumé

BACKGROUND BACKGROUND
In the majority of familial breast cancer (BC) families, the etiology of the disease remains unresolved. To identify missing BC heritability resulting from relatively rare variants (minor allele frequency ≤ 1%), we have performed whole exome sequencing followed by variant analysis in a virtual panel of 492 cancer-associated genes on BC patients from BRCA1 and BRCA2 negative families with elevated BC risk.
METHODS METHODS
BC patients from 54 BRCA1 and BRCA2-negative families with elevated BC risk and 120 matched controls were considered for germline DNA whole exome sequencing. Rare variants identified in the exome and in a virtual panel of cancer-associated genes [492 genes associated with different types of (hereditary) cancer] were compared between BC patients and controls. Nonsense, frame-shift indels and splice-site variants (strong protein-damaging variants, called PDAVs later on) observed in BC patients within the genes of the panel, which we estimated to possess the highest probability to predispose to BC, were further validated using an alternative sequencing procedure.
RESULTS RESULTS
Exome- and cancer-associated gene panel-wide variant analysis show that there is no significant difference in the average number of rare variants found in BC patients compared to controls. However, the genes in the cancer-associated gene panel with nonsense variants were more than two-fold over-represented in women with BC and commonly involved in the DNA double-strand break repair process. Approximately 44% (24 of 54) of BC patients harbored 31 PDAVs, of which 11 were novel. These variants were found in genes associated with known or suspected BC predisposition (PALB2, BARD1, CHEK2, RAD51C and FANCA) or in predisposing genes linked to other cancer types but not well-studied in the context of familial BC (EXO1, RECQL4, CCNH, MUS81, TDP1, DCLRE1A, DCLRE1C, PDE11A and RINT1) and genes associated with different hereditary syndromes but not yet clearly associated with familial cancer syndromes (ABCC11, BBS10, CD96, CYP1A1, DHCR7, DNAH11, ESCO2, FLT4, HPS6, MYH8, NME8 and TTC8). Exome-wide, only a few genes appeared to be enriched for PDAVs in the familial BC patients compared to controls.
CONCLUSIONS CONCLUSIONS
We have identified a series of novel candidate BC predisposition variants/genes. These variants/genes should be further investigated in larger cohorts/case-control studies. Other studies including co-segregation analyses in affected families, locus-specific loss of heterozygosity and functional studies should shed further light on their relevance for BC risk.

Identifiants

pubmed: 30947698
doi: 10.1186/s12885-019-5494-7
pii: 10.1186/s12885-019-5494-7
pmc: PMC6449945
doi:

Substances chimiques

BRCA1 Protein 0
BRCA1 protein, human 0
BRCA2 Protein 0
BRCA2 protein, human 0

Types de publication

Journal Article

Langues

eng

Pagination

313

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Auteurs

Rajendra Bahadur Shahi (RB)

Laboratory of Medical and Molecular Oncology (LMMO), Vrije Universiteit Brussel (VUB), Brussels, Belgium.

Sylvia De Brakeleer (S)

Laboratory of Medical and Molecular Oncology (LMMO), Vrije Universiteit Brussel (VUB), Brussels, Belgium.

Ben Caljon (B)

Brussels Interuniversity Genomics High Throughput core (BRIGHTcore) platform, Universitair Ziekenhuis Brussel (UZ Brussel) / Vrije Universiteit Brussel (VUB), Brussels, Belgium.

Ingrid Pauwels (I)

Familial Cancer Clinic, Oncologisch Centrum, Universitair Ziekenhuis Brussel (UZ Brussel), Brussels, Belgium.

Maryse Bonduelle (M)

Centre for Medical Genetics, Reproduction and Genetics, Universitair Ziekenhuis Brussel (UZ Brussel) / Vrije Universiteit Brussel (VUB), Brussels, Belgium.

Sofie Joris (S)

Familial Cancer Clinic, Oncologisch Centrum, Universitair Ziekenhuis Brussel (UZ Brussel), Brussels, Belgium.

Christel Fontaine (C)

Breast Cancer Clinic, Oncologisch Centrum, Universitair Ziekenhuis Brussel (UZ Brussel), Brussels, Belgium.

Marian Vanhoeij (M)

Breast Cancer Clinic, Oncologisch Centrum, Universitair Ziekenhuis Brussel (UZ Brussel), Brussels, Belgium.

Sonia Van Dooren (S)

Brussels Interuniversity Genomics High Throughput core (BRIGHTcore) platform, Universitair Ziekenhuis Brussel (UZ Brussel) / Vrije Universiteit Brussel (VUB), Brussels, Belgium.
Centre for Medical Genetics, Reproduction and Genetics, Universitair Ziekenhuis Brussel (UZ Brussel) / Vrije Universiteit Brussel (VUB), Brussels, Belgium.

Erik Teugels (E)

Laboratory of Medical and Molecular Oncology (LMMO), Vrije Universiteit Brussel (VUB), Brussels, Belgium. eteugels@uzbrussel.be.
Familial Cancer Clinic, Oncologisch Centrum, Universitair Ziekenhuis Brussel (UZ Brussel), Brussels, Belgium. eteugels@uzbrussel.be.

Jacques De Grève (J)

Laboratory of Medical and Molecular Oncology (LMMO), Vrije Universiteit Brussel (VUB), Brussels, Belgium. Jacques.DeGreve@uzbrussel.be.
Familial Cancer Clinic, Oncologisch Centrum, Universitair Ziekenhuis Brussel (UZ Brussel), Brussels, Belgium. Jacques.DeGreve@uzbrussel.be.

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Classifications MeSH