Differential Wnt pathway activation in triple negative breast cancers comparative to HER2 and hormone positive breast cancers identified from formalin-fixed, paraffin-embedded tissues.
Bibliographic record
Abstract
Abstract Abstract #43 Background: Patients afflicted with triple negative (TN) breast cancer (BC) are typically younger and have the worst prognosis of any BC subtype as a result of its aggressive and invasive phenotype. TN BC has been well studied with respect to the associative and prognostic values of its mRNA expression profiles. We have used the Illumina DASL (cDNA mediated, Annealing, Selection, Extension, and Ligation) platform to characterize 502 genes from 96 BC patients sourced from formalin-fixed, paraffin-embedded (FFPE) tissues. RNA extracted from FFPE tissues is highly fragmented and typically unsuited for expression platforms, but recent advances have allowed for accurate expression profiling of RNA from FFPE tissues. This 96 patient cohort included 21 TN BC patients identified by immunohistochemistry (IHC); differential analysis of TN expression was integrated with known pathway mechanisms and identified activation of the Wnt pathway in TN tumors. Material and Methods: The Illumina DASL assay was used to measure mRNA expression levels from BC patients obtained from St. Mary's Hospital, Montreal, Quebec. RNA was extracted from three 5µm tissue sections from FFPE blocks using the RNA High Pure Kit (Roche). Differential mRNA regulation was identified by Significance Analysis of Microarrays (SAM) software using a false discover rate (FDR, q-value < 0.01) or a Bonferroni corrected two-tailed student's t-test (p-value < 0.05). IHC concordance was measured by mRNA expression fold-change for positive versus negative IHC categories. Results: 165 samples from 96 patients were characterized for mRNA expression on 1,488 probes across 502 genes in the DASL assay. Quality control limited the analysis to 150 samples from 91 patients over 500 genes. Comparison of the TN subtype relative to HER2 positive and hormone positive breast carcinomas identified up-regulation [fold-change] of MMP7 [2.9], MMP9 [2.0], MMP1 [1.8], NOTCH1 [1.5], FZD7 [1.5], PPARD [1.3], CCND2 [1.2], MET [1.3], MYC [1.5], and MYCN [2.0] in the TN subtype. Most of these genes are either a component or downstream target of the Wnt signaling pathway. Down-regulated relevant genes included ESR1 [-8.4], PGR [-3.9], ERBB2 [-3.4] as expected, as well as ERRB3, ERBB4, GLI3, TFF1, LAF4/AFF3, and AR. Discussion: Down-regulation of TFF1 suggests inhibition of the ERK/MAPK pathways which have complex effects on cell-cell adhesion. In combination with over-expression of MMPs 1, 7, and 9, these changes may contribute to the invasive nature of TN BCs. GLI3 down-regulation may attenuate Hedgehog signaling potentially contributing to Wnt activation, further leading to cell migration, invasion, and decrease in cell adhesion to cognate integrin-matrix interaction Up-regulation of both the FZD7 receptor as well as the Wnt targets MMP7, MYC, MYCN, PPARD, and CCND2 strongly suggest Wnt pathway activation in the TN subtype. Citation Information: Cancer Res 2009;69(2 Suppl):Abstract nr 43.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot 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.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.002 | 0.000 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
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".