526 MICROSATELLITE INSTABILITY IN GASTRO-ESOPHAGEAL ADENOCARCINOMAS
Bibliographic record
Abstract
Abstract Microsatellite instability (MSI) in gastro-esophageal adenocarcinomas (GEAs) is associated with poor response to chemotherapy; however, this association is poorly understood. The aim of this study is to better understand the clinical relevance and mutational landscape of MSI in GEA. Methods In order to assess the status of mismatch repair (MMR) proteins, we performed immunohistochemistry for MLH1, MSH2, MSH6, PMS2 and BRAF V600E on tissue microarrays constructed from 161 patients with esophageal adenocarcinoma and 65 patients with gastric adenocarcinoma, operated between 2011 to 2019. MMR- deficient (MMR-D) status was confirmed using full sections of tumors. Demographics, tumor, and treatment details, operative variable and overall survival were evaluated. Genomic characterization of 3 MSI-H and 10 MSS patients was performed using deep targeted sequencing of 234 potential oncogenic genes. Statistical analysis was performed using Cox regression, logistic regression, ANOVA or Chi-square tests. Results Among the 28 (12%) MMR-D immunophenotype patients identified: 25 showed a combined MLH1/PMS2 loss, one case with MSH2/MSH6 loss and two cases with isolated MSH6 or MSH2 loss. Patients in the MMR-D were older (74 ± 14 vs 67 ± 11 years, p = 0.01) and with more Siewert-III and sub-cardia tumors [64%(18) vs 40%(79), p = 0.002] compared to MMR-Stable patients. All other variables including sex, stage and grade were not significantly different. MMR-D immunophenotype was associated with better overall survival (Median survival of 5.7vs2.3 years, p < 0.04) (Figure 1A). Genomic analysis linked patients with D-MMR with a higher mutational burden with some potentially targetable mutations (Figure 1B). Conclusion The significant proportion of MMR-D immunophenotype identified in this gastroesophageal cohort and the different pattern of overall survival and genetic mutations associated with this phenotype, highlight the importance of further characterization and understanding the mechanisms and role of MMR status in GEAs.
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 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".