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Record W6906664805 · doi:10.17863/cam.32250

Genetic predisposition to in situ and invasive lobular carcinoma of the breast.

2014· article· en· W6906664805 on OpenAlexfundno aff

Bibliographic record

VenueApollo (University of Cambridge) · 2014
Typearticle
Languageen
FieldMedicine
TopicBreast Lesions and Carcinomas
Canadian institutionsnot available
FundersMedical Research and Materiel CommandNational Cancer InstituteUniversitätsklinikum Hamburg-EppendorfCancer Council TasmaniaNational Human Genome Research InstituteCancer Council VictoriaMedical Research CouncilCanadian Institutes of Health ResearchRheinische Friedrich-Wilhelms-Universität BonnMinistero dello Sviluppo EconomicoAgence Nationale de Sécurité Sanitaire de l’Alimentation, de l’Environnement et du TravailInstitut National Du CancerNational Health and Medical Research CouncilOulun YliopistoDeutsche KrebshilfeMedizinischen Hochschule HannoverNorges ForskningsrådStockholms Läns LandstingKuopion Yliopistollinen SairaalaKarolinska InstitutetBundesministerium für Bildung und ForschungMinisterio de Economía y CompetitividadAgence Nationale de la RechercheNational Breast Cancer FoundationMinistère du Développement Économique, de l’Innovation et de l’ExportationAgency for Science, Technology and ResearchAcademy of FinlandKing's College LondonFonds Wetenschappelijk OnderzoekCancerfondenNIHR Biomedical Research Centre, Royal Marsden NHS Foundation Trust/Institute of Cancer ResearchFondation de FranceBreast Cancer CampaignBreast Cancer Research FoundationUniversity of CambridgeKWF KankerbestrijdingHerlev HospitalFondation du cancer du sein du QuébecWellcome TrustCancer Research UKNational Institute for Health and Care ResearchNational Institutes of HealthDeutsche Gesetzliche UnfallversicherungDavid F. and Margaret T. Grohne Family FoundationU.S. ArmyUniversity of WestminsterLigue Contre le CancerDeutsches KrebsforschungszentrumSundhed og Sygdom, Det Frie ForskningsrådAssociazione Italiana per la Ricerca sul CancroItä-Suomen YliopistoSusan G. Komen for the CureCancer Care OntarioEuropean CommissionRobert Bosch StiftungHelsingin ja Uudenmaan SairaanhoitopiiriU.S. Department of Health and Human Services
KeywordsPopulationGenetic predispositionBreast cancerDiseaseIdentification (biology)

Abstract

fetched live from OpenAlex

Invasive lobular breast cancer (ILC) accounts for 10-15% of all invasive breast carcinomas. It is generally ER positive (ER+) and often associated with lobular carcinoma in situ (LCIS). Genome-wide association studies have identified more than 70 common polymorphisms that predispose to breast cancer, but these studies included predominantly ductal (IDC) carcinomas. To identify novel common polymorphisms that predispose to ILC and LCIS, we pooled data from 6,023 cases (5,622 ILC, 401 pure LCIS) and 34,271 controls from 36 studies genotyped using the iCOGS chip. Six novel SNPs most strongly associated with ILC/LCIS in the pooled analysis were genotyped in a further 516 lobular cases (482 ILC, 36 LCIS) and 1,467 controls. These analyses identified a lobular-specific SNP at 7q34 (rs11977670, OR (95%CI) for ILC = 1.13 (1.09-1.18), P = 6.0 × 10(-10); P-het for ILC vs IDC ER+ tumors = 1.8 × 10(-4)). Of the 75 known breast cancer polymorphisms that were genotyped, 56 were associated with ILC and 15 with LCIS at P<0.05. Two SNPs showed significantly stronger associations for ILC than LCIS (rs2981579/10q26/FGFR2, P-het = 0.04 and rs889312/5q11/MAP3K1, P-het = 0.03); and two showed stronger associations for LCIS than ILC (rs6678914/1q32/LGR6, P-het = 0.001 and rs1752911/6q14, P-het = 0.04). In addition, seven of the 75 known loci showed significant differences between ER+ tumors with IDC and ILC histology, three of these showing stronger associations for ILC (rs11249433/1p11, rs2981579/10q26/FGFR2 and rs10995190/10q21/ZNF365) and four associated only with IDC (5p12/rs10941679; rs2588809/14q24/RAD51L1, rs6472903/8q21 and rs1550623/2q31/CDCA7). In conclusion, we have identified one novel lobular breast cancer specific predisposition polymorphism at 7q34, and shown for the first time that common breast cancer polymorphisms predispose to LCIS. We have shown that many of the ER+ breast cancer predisposition loci also predispose to ILC, although there is some heterogeneity between ER+ lobular and ER+ IDC tumors. These data provide evidence for overlapping, but distinct etiological pathways within ER+ breast cancer between morphological subtypes.

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)0.002
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 score0.007
Threshold uncertainty score0.024

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.002
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0020.002
Science and technology studies0.0010.000
Scholarly communication0.0010.000
Open science0.0000.001
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0070.001

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 head0.005
GPT teacher head0.173
Teacher spread0.168 · 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

Citations0
Published2014
Admission routes1
Has abstractyes

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