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Record W2606420336 · doi:10.1111/his.13239

Molecular subtyping of mammary‐like adenocarcinoma of the vulva shows molecular similarity to breast carcinomas

2017· article· en· W2606420336 on OpenAlexaff
Basile Tessier‐Cloutier, Karama Asleh, Varsha Shah, W. Glenn McCluggage, Anna V. Tinker, C. Blake Gilks

Bibliographic record

VenueHistopathology · 2017
Typearticle
Languageen
FieldMedicine
TopicCancer and Skin Lesions
Canadian institutionsBC Cancer AgencyCentre for Advancing Health OutcomesVancouver General HospitalUniversity of British Columbia
Fundersnot available
KeywordsCytokeratinImmunohistochemistryVulvaPathologyAdenocarcinomaBreast cancerProgesterone receptorBiologyEpidermal growth factor receptorSubtypingMedicineCancerInternal medicineEstrogen receptor

Abstract

fetched live from OpenAlex

AIMS: Mammary-like adenocarcinoma (MLA) of the vulva is thought to be derived from vulvar mammary-like glands. The aim of this study was to characterize a series of MLAs by using an immunohistochemical algorithm that identifies the major molecular subtypes of breast cancer. METHODS AND RESULTS: Seven cases of vulval MLA were stained for oestrogen receptor (ER), progesterone receptor (PR), human epidermal growth factor receptor 2 (HER2), Ki67, epidermal growth factor receptor (EGFR), cytokeratin (CK) 5, nestin, and inositol polyphosphate-4-phosphatase (INPP4b). Seventeen cases of vulval extramammary Paget disease (EMPD), seven with invasion, were studied for comparison. The median age of patients with MLA was 72 years. All tumours except one were early-stage tumours. On the basis of an immunohistochemical panel, three of seven tumours were classified as luminal B, two of seven as HER2-enriched, one of seven as luminal A, and one of seven as basal-like. ER was expressed in four of seven tumours, PR in three of seven, HER2 in three of seven, EGFR in two of seven, and CK5 in one of seven, and the Ki67 index was >15% in six of seven cases. Nestin and INPP4b were, respectively, negative and positive in all cases. Of the seven cases of invasive EMPD, two showed a luminal A profile, three a luminal B profile (two of three with HER2 amplification), one a HER2-enriched profile, and one a basal-like profile. Three of seven were HER2-amplified. Among the 10 cases of EMPD without invasion, seven showed a luminal A profile and three showed a luminal B profile (all HER2-amplified); no HER2-enriched or basal-like subtypes were identified. CONCLUSIONS: Breast cancer subtyping can be applied to vulvar MLAs. All four intrinsic molecular subtypes are seen, with frequencies similar to those in breast carcinoma. Our results support the potential use of breast cancer molecular profiling algorithms to guide treatment for these cancers.

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)0.000
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 score0.001
Threshold uncertainty score0.003

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.000
Science and technology studies0.0000.000
Scholarly communication0.0010.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.000

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 head0.017
GPT teacher head0.272
Teacher spread0.254 · 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

Citations37
Published2017
Admission routes1
Has abstractyes

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