Ephrin B2 Receptor and Microsatellite Status in Lymph Node-Positive Colon Cancer Survival
Bibliographic record
Abstract
BACKGROUND: Ephrin B2 receptor (EphB2) is a target of the canonical wnt pathway implicated in colorectal carcinogenesis, and its down-regulation may be associated with adverse prognosis. We evaluated its prognostic value in resected colon cancer stratified by microsatellite status and other clinicopathologic characteristics. METHODS: We identified all cases of resected stage III colon cancer from 1995 to 2009 managed in the Capital Health district of Nova Scotia. Tissue microarrays were constructed and immunohistochemistry (IHC) for tumor EphB2 staining assigned into quartiles. Microsatellite status was evaluated by IHC for MutL homolog 1 (MLH1) and MutS homolog 2 (MSH2). Microsatellite stable tumors were defined as both MLH1/MSH2 (+/+); tumors staining otherwise were classified with microsatellite instability (MSI-H). Primary and secondary outcomes were disease-free survival (DFS) and overall survival (OS), respectively. RESULTS: We identified 159 cases with sufficient tissue for microarray analysis having a median follow-up of 3.47 years (range, 0.14-14). Median age was 61, 52% were male, 40% had an event, and 29% died. MSI-H was present in 18 (13%). Univariate analysis of EphB2 expression on DFS and OS showed a hazard ratio (HR) of 2.00 (P = .01) and 2.14 (P = .03), respectively. Multivariate analysis of EphB2 expression on DFS and OS showed an HR of 2.24 and 2.23, respectively, with tumor IHC ≤ 50%. CONCLUSIONS: In this cohort, decreased EphB2 expression was an independent prognostic factor for recurrence and death and may have prognostic relevance in tumors with MSI-H. However, this would require prospective validation in a larger study.
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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 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| 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) | 0.001 | 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".