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Record W2119811461 · doi:10.1158/1055-9965.epi-10-0517

Association of the Variants<i>CASP8</i>D302H and<i>CASP10</i>V410I with Breast and Ovarian Cancer Risk in<i>BRCA1</i>and<i>BRCA2</i>Mutation Carriers

2010· article· en· W2119811461 on OpenAlexafffund
Christoph Engel, Beatrix Versmold, Barbara Wappenschmidt, Jacques Simard, Douglas F. Easton, Susan Peock, Margaret Cook, Clare Oliver, Debra Frost, Rebecca Mayes, D. Gareth Evans, Rosalind A. Eeles, Joan Paterson, Carole Brewer, Lesley McGuffog, Antonis C. Antoniou, Dominique Stoppa‐Lyonnet, Olga M. Sinilnikova, Laure Barjhoux, Marc Frénay, Cécile Michel, Dominique Leroux, Hélène Dreyfus, Christine Toulas, Laurence Gladieff, Nancy Uhrhammer, Yves‐Jean Bignon, Alfons Meindl, Norbert Arnold, Raymonda Varon-Mateeva, Dieter Niederacher, Sabine Preisler-Adams, Karin Kast, Helmut Deißler, Christian Sutter, Dorothea Gadzicki, Georgia Chenevix‐Trench, Amanda B. Spurdle, Jonathan Beesley, Håkan Olsson, Ulf Kristoffersson, Hans Ehrencrona, Annelie Liljegren, Rob B. van der Luijt, Theo A. van Os, Flora E. van Leeuwen, Susan M. Domchek, Timothy R. Rebbeck, Katherine L. Nathanson, Ana Osório, Teresa Ramón y Cajal, Irene Konstantopoulou, Javier Benı́tez, Eitan Friedman, Bella Kaufman, Yael Laitman, Mark H. Greene, Heli Nevanlinna, Kristiina Aittomäki, Csilla I. Szabo, Trinidad Caldés, Fergus J. Couch, Irene L. Andrulis, Andrew K. Godwin, Ute Hamann, Rita K. Schmutzler

Bibliographic record

VenueCancer Epidemiology Biomarkers & Prevention · 2010
Typearticle
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicBRCA gene mutations in cancer
Canadian institutionsUniversité LavalCentre hospitalier universitaire de Québec
FundersNational Cancer InstituteInstituto de Salud Carlos IIINational Institutes of HealthDeutsche KrebshilfeSahlgrenska UniversitetssjukhusetCancer Care OntarioAkademiska SjukhusetCancerfondenCanadian Institutes of Health ResearchAssociazione Italiana per la Ricerca sul CancroUppsala UniversitetFox Chase Cancer CenterLunds UniversitetNational Breast Cancer FoundationMinisterio de Ciencia e InnovaciónNational Institute for Health and Care ResearchNational Health and Medical Research CouncilCancer Research UKCanadian Breast Cancer Research AllianceRoyal Marsden NHS Foundation TrustMedical Research CouncilMayo ClinicBreast Cancer Research FoundationDeutsches KrebsforschungszentrumUniversité Laval
KeywordsBreast cancerOvarian cancerOncologyInternal medicineAlleleHazard ratioMedicinePopulationCancerMinor allele frequencyCase-control studyBioinformaticsAllele frequencyGeneticsBiologyConfidence intervalGene

Abstract

fetched live from OpenAlex

BACKGROUND: The genes caspase-8 (CASP8) and caspase-10 (CASP10) functionally cooperate and play a key role in the initiation of apoptosis. Suppression of apoptosis is one of the major mechanisms underlying the origin and progression of cancer. Previous case-control studies have indicated that the polymorphisms CASP8 D302H and CASP10 V410I are associated with a reduced risk of breast cancer in the general population. METHODS: To evaluate whether the CASP8 D302H (CASP10 V410I) polymorphisms modify breast or ovarian cancer risk in BRCA1 and BRCA2 mutation carriers, we analyzed 7,353 (7,227) subjects of white European origin provided by 19 (18) study groups that participate in the Consortium of Investigators of Modifiers of BRCA1/2 (CIMBA). A weighted cohort approach was used to estimate hazard ratios (HR) and 95% confidence intervals (95% CI). RESULTS: The minor allele of CASP8 D302H was significantly associated with a reduced risk of breast cancer (per-allele HR, 0.85; 95% CI, 0.76-0.97; P(trend) = 0.011) and ovarian cancer (per-allele HR, 0.69; 95% CI, 0.53-0.89; P(trend) = 0.004) for BRCA1 but not for BRCA2 mutation carriers. The CASP10 V410I polymorphism was not associated with breast or ovarian cancer risk for BRCA1 or BRCA2 mutation carriers. CONCLUSIONS: CASP8 D302H decreases breast and ovarian cancer risk for BRCA1 mutation carriers but not for BRCA2 mutation carriers. IMPACT: The combined application of these and other recently identified genetic risk modifiers could in the future allow better individual risk calculation and could aid in the individualized counseling and decision making with respect to preventive options in BRCA1 mutation carriers.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.001
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.004
Threshold uncertainty score0.007

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.001
Bibliometrics0.0010.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0010.000
Insufficient payload (model declined to judge)0.0020.000

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 head0.009
GPT teacher head0.282
Teacher spread0.273 · 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 source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
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".

Quick stats

Citations43
Published2010
Admission routes2
Has abstractyes

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