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Record W2561518335 · doi:10.1158/1557-3125.advbc-a124

Abstract A124: Characterization of claudin-low breast cancers

2013· article· en· W2561518335 on OpenAlexaff
Kay Dias, Anna Dvorkin‐Gheva, Gregory R. Pond, Mark N. Levine, Timothy J. Whelan, Anita Bane

Bibliographic record

VenueMolecular Cancer Research · 2013
Typearticle
Languageen
FieldMedicine
TopicRadiomics and Machine Learning in Medical Imaging
Canadian institutionsHamilton Health SciencesMcMaster University
Fundersnot available
KeywordsBreast cancerTissue microarrayImmunohistochemistryCancer researchClaudinPathologyCancerGene expression profilingLymph nodeBiologyGene expressionMedicineGeneInternal medicine

Abstract

fetched live from OpenAlex

Abstract Molecular profiling of human breast cancers has defined 5 molecular subtypes: luminal A, luminal B, HER2 over-expressing, basal-like and claudin-low. The claudin-low subtype was identified in 2007 and is characterized by low expression of claudin proteins, E-cadherin and markers of luminal differentiation, and is reported to be associated with expression of mesenchymal and cancer stem cell (CSC) markers. The prevalence of this subtype is reported to be between 7-14% and there are an excess of tumors with metaplastic and medullary-like features, an association with poor prognosis and evidence that they may be resistant to conventional chemotherapies. Using information from publicly available gene expression microarray data, we sought to identify immunohistochemical markers of the claudin-low subtype and to further describe the morphological features of claudin-low breast tumors and the overall survival characteristics of patients with these tumors, along with any associations between these tumors and CSC markers. Using the gene expression microarray datasets, we performed hierarchical clustering to assign a molecular subtype to the tumors. Differential gene expression analysis was used to identify genes that were significantly upregulated and downregulated between claudin-low tumors and other tumor subtypes as candidates for immunohistochemical markers for our formalin fixed paraffin embedded (FFPE) tumor cohort. We utilized 943 stage I or stage II, lymph node negative primary invasive breast cancers treated with breast conserving surgery and adjuvant radiation, which had FFPE tumor blocks available for tissue microarray construction. On the basis of IHC expression of ER, PR, HER2, Ki67, EGFR, CK5/6, Claudin proteins and E-cadherin, tumors were classified as luminal A, luminal B, HER2 over-expressing, basal-like or claudin-low. Kaplan-Meier methods were used to estimate overall survival, and Fisher's exact tests were used to compare tumor characteristics and expression of CSC markers (ALDH1, CD44hi/CD24low) between claudin-low and luminal A tumors. Claudin-low tumors comprised 8% of our cohort with an overall survival of 73.6% at a median follow up of 12 years, similar to that of basal-like and HER2 over-expressing subtypes. Compared to luminal A type tumors, the claudin-low tumors were statistically more likely to have circumscribed tumor margins. However, there was no statistically significant association between claudin-low subtype and the expression of CSC markers. The claudin-low subtype represents a minority of invasive breast cancers, however this group is characterized by poor prognosis, and as such the identification of these tumors is useful to determine treatment options in the clinical setting. Citation Format: Kay Dias, Anna Dvorkin-Gheva, Greg Pond, Mark Levine, Timothy Whelan, Anita Bane. Characterization of claudin-low breast cancers. [abstract]. In: Proceedings of the AACR Special Conference on Advances in Breast Cancer Research: Genetics, Biology, and Clinical Applications; Oct 3-6, 2013; San Diego, CA. Philadelphia (PA): AACR; Mol Cancer Res 2013;11(10 Suppl):Abstract nr A124.

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 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)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesInsufficient payload (model declined to judge)
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 score0.711
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
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 science0.0000.000
Research integrity0.0000.001
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 head0.021
GPT teacher head0.365
Teacher spread0.344 · 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.

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
Published2013
Admission routes1
Has abstractyes

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