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Abstract A44: The identification of germline mutations in DNA repair genes in Brazilian individuals at-risk for hereditary breast cancer

2017· article· en· W2604602906 on OpenAlexaboutno aff
Ana Rafaela de Souza Timóteo, Jorge Estefano Santana de Souza, Tirzah Braz Petta Lajus

Bibliographic record

VenueMolecular Cancer Research · 2017
Typearticle
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicBRCA gene mutations in cancer
Canadian institutionsnot available
Fundersnot available
KeywordsPALB2CHEK2Breast cancerMLH1MSH6Germline mutationCDH1CancerPTENBiologyGeneGeneticsMutationCancer researchDNA repairDNA mismatch repair

Abstract

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Abstract Hereditary breast cancer corresponds to 10-15% of all diagnosed cases of breast cancer in the world. The majority germline mutations are identified in BRCA1/2 genes, however the application of multigene panels has increased the number of pathogenic variations detected in DNA repair genes. According to the current version of NCCN Guideline, mutations in BRCA1/2, TP53 and PTEN confers high risk to develop breast cancer, and mutations in CDH1, CHEK2, PALB2, ATM and BRIP can increases over than 20% this risk. We analyzed 157 individuals from Northeastern region of Brazil with personal and/or familial breast cancer history. Genomic DNA was isolated from peripheral blood through saline-based extraction and samples were analyzed using next-generation sequencing (NGS). We identified 15 pathogenic variants and 4 VUS (Variants of Uncertain Significance) in 27 individuals (27/157; 17%), in which three are asymptomatic. Six novel variants in 4 genes were identified: BRCA1_c.3409A>G; BRCA2_c.5800C>T; BRCA2_c.5228G>A; BRCA2_c.5305delG; ATM_c.634delT and ATR_c.3043C>T. Sixty-eight percent (13/19; 68%) of variants was detected in BRCA1/2 genes, while 32% (6/19) were identified in moderate risk genes ATM (2/19); ATR (1/19); CDH1 (1/19); MLH1 (1/19) and MSH6 (1/19). The individuals were separated in two groups for comparative analysis: high-risk genes and moderate risk genes. Among three asymptomatic individuals, two present variants in moderate risk genes ATM and MLH1. Among breast cancer individuals, eighteen patients (18/24; 75%) presents mutations in high-risk genes, while six (6/24; 25%) harbors mutations in moderate risk genes. Both groups had a high incidence of early-onset breast cancer, 83%. The group of individuals harboring variants in high-risk genes presented a greater occurrence of high-grade tumors (83% vs. 67%, P= 0.0090). In the group of individuals harboring mutation in moderate risk genes, tumors presented a more aggressive phenotype with bilateral cancer (33% vs. 11%, P= 0.0002), occurrence of metastasis (33% vs. 5.6%, P<0.0001) and incidence of deaths (33% vs. 5.6%, P<0.0001). Altogether, 1/3 of variants were identified in moderate risk genes in patients presenting a more aggressive phenotype. These results reinforce the importance of applying multigene analysis in individuals at-risk for breast cancer, especially in a heterogeneous population as Brazilian. Citation Format: Ana Rafaela de Souza Timoteo, Jorge Estefano Santana de Souza, Tirzah Braz Petta Lajus. The identification of germline mutations in DNA repair genes in Brazilian individuals at-risk for hereditary breast cancer [abstract]. In: Proceedings of the AACR Special Conference on DNA Repair: Tumor Development and Therapeutic Response; 2016 Nov 2-5; Montreal, QC, Canada. Philadelphia (PA): AACR; Mol Cancer Res 2017;15(4_Suppl):Abstract nr A44.

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How this classification was reachedexpand

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.002
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Bench or experimental · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.439
Threshold uncertainty score0.997

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.038
GPT teacher head0.399
Teacher spread0.361 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designBench or experimental
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

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Citations0
Published2017
Admission routes1
Has abstractyes

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