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Record W2080540317 · doi:10.1093/jnci/93.2.153

RESPONSE: Re: Population-Based Study of BRCA1 and BRCA2 Mutations in 1035 Unselected Finnish Breast Cancer Patients

2001· article· en· W2080540317 on OpenAlexfundno aff
Pia Vahteristo, Kirsi Syrjäkoski, Hannaleena Eerola, Tommi Kainu, K Holli, Carl Blomqvist, Olli Kallioniemi, Heli Nevanlinna

Bibliographic record

VenueJNCI Journal of the National Cancer Institute · 2001
Typearticle
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicBRCA gene mutations in cancer
Canadian institutionsnot available
FundersLady Davis Institute for Medical ResearchNational Institutes of HealthUppsala UniversitetAkademiska SjukhusetTaysMcGill University Health CentreMcGill UniversityJewish General HospitalPirkanmaan SyöpäyhdistysHelsingin ja Uudenmaan Sairaanhoitopiiri
KeywordsBreast cancerOncologyMedicineInternal medicineCancerDemographyGynecologyGeneticsBiologySociology

Abstract

fetched live from OpenAlex

In our recent survey of BRCA1 and BRCA2 mutations in 1035 unselected Finnish breast cancer patients (1), 15 of the 19 mutation carriers identified belonged to a group defined by three simple criteria (i.e., family history of ovarian cancer, index case patient diagnosed with breast cancer at ≤40 years, or two or more relatives diagnosed with breast cancer). However, better predictive factors for germline mutations are required. Here, we evaluate the possibility raised by Chappuis et al. that immunohistologic features of the tumor tissues could help in identifying patients for mutation testing. Of the 1035 patients (1036 tumors), the histologic type was available in 998 (96.3%) tumors, the World Health Organization histologic grade (of 741 ductal carcinomas) was available in 706 (95.3%) tumors, the estrogen receptor (ER) status was available in 937 (90.5%) tumors, and the progesterone receptor (PR) status was available in 935 (90.3%) tumors. Table 1 compares the distribution of these four parameters in tumors from BRCA1 mutation carriers (“BRCA1”) and BRCA2 mutation carriers (“BRCA2”) and in noncarriers (“control”). All four BRCA1 tumors were invasive ductal carcinomas. Three of these were poorly differentiated, two were ER negative, and one was PR negative. High grade and lack of ER have been shown to be typical of tumors from BRCA1-linked breast cancer families (2,3). Medullary histology has also been found to be overrepresented among BRCA1 tumors (2). However, most BRCA1 tumors are of ductal histology (2). BRCA2 tumors had a similar distribution of histologic subtypes as the controls. An association between BRCA2 status and tumor grade was observed, attributable to the absence of grade 1 tumors in the BRCA2 carriers. Loss of PR tended to be more common in the BRCA2 tumors than in the controls. ER positivity among the BRCA2 tumors was similar to that among the controls. We also determined the frequency of ER-positive lobular carcinomas among BRCA2 carriers, as suggested by Chappuis et al. Two such tumors (15.4%) were found among 13 BRCA2 tumors, a prevalence similar to that of control cancers (130 [14.4%] of 903 controls). In our study, the cases came from a prospective mutation screening among unselected, newly diagnosed breast cancers, providing an unbiased, population-based tumor material. Our study was based on histology reports obtained in the context of clinical pathologic diagnosis, which reflects the kind of information available to a physician who needs to decide whether germline BRCA1 and BRCA2 mutation testing is appropriate for a particular patient. In retrospective reviews by expert pathologists, specific histologic features have been linked with BRCA1 and BRCA2 tumors (4). If such features were to be used in defining putative mutation carriers, they should be routinely included in pathology reports, and the reproducibility of defining such features should be assessed. Although differences in histologic and biologic features exist between BRCA1 tumors and to some extent between BRCA2 tumors and sporadic tumors (2–5), it remains to be determined whether such differences translate to better criteria for defining putative mutation carriers. Because of the interrelationships of the predictive features, large studies are required to test their independent value in the context of germline mutation screening. We expect that improved immunohistologic or molecular classifiers for both BRCA1 and BRCA2 tumors will arise from surveys of genetic alterations (6) and global gene expression changes (7) in hereditary breast cancers. Association of germline genotype of breast cancer patients with histologic and biologic features of the tumor tissues* We thank Dr. Päivi Heikkilä for critical reading of the manuscript.

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)0.003
metaresearch head score (Gemma)0.008
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Commentary · Consensus signal: Commentary
Teacher disagreement score0.027
Threshold uncertainty score0.089

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0030.008
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0010.001
Science and technology studies0.0010.000
Scholarly communication0.0010.001
Open science0.0010.001
Research integrity0.0080.002
Insufficient payload (model declined to judge)0.0270.016

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 head0.022
GPT teacher head0.323
Teacher spread0.301 · 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 designNot applicable
Domainnot available
GenreCommentary

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

Citations2
Published2001
Admission routes1
Has abstractyes

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