Efficacy of Anti-VEGF and Anti-EGFRs in Microsatellite Instable (MSI-H) Metastatic Colorectal Cancer in a Turkish Oncology Group (TOG) Cohort Study
Bibliographic record
Abstract
Background: Mismatch repair-deficient (dMMR)/microsatellite instability-high (MSI-H) colorectal tumors constitute 5% of metastatic colorectal cancer(mCRC). Immunotherapy is a new standard, but it is difficult to provide for all patients. 5-Flurouracil-based treatment with anti-EGFRs (cetuximab and panitumumab) in RAS/BRAF-wild or anti-VEGF (bevacizumab) is used in mCRC. Data is limited for the efficacy of anti-VEGF or anti-EGFRs in dMMR/MSI-H mCRC due to the small number of cases in the colorectal cancer population in trials. Aims: To evaluate prognostic factors in dMMR/MSI-H mCRC and compare progression-free survival time of patients receiving anti-VEGF and anti-EGFR combined with first-line 5FU-based therapy. Methods: Patients with metastatic dMMR/MSI-H colorectal cancer diagnosed between January 2015 and January 2023 were included in this cohort study. Progression-free survival times of patients treated with first-line therapy were compared. Prognostic factors associated with overall survival were investigated. Results: A total of 132 patients were included. Mutation rates were 35.6% (n:47) for RAS and 12.1% (n: 16) for BRAF (. Median progression-free survival (PFS) was 10.9 (95% CI: 9.2–12.6) months. Median overall survival (OS) was 44 months (95% CI: 26.23–63.03). 82 (62.1%) patients had primary tumor resection (PTR), 26 (19.7%) had PTR and metastasectomy. A total of 17 (12.8%) de novo mCRC patients had maximal cytoreductive surgery (MCS). A total of 14 (10.6%) patients had subsequent immunotherapy (IO). In multivariate analysis, RAS/BRAF mutation status, MCS, and subsequent IO are defined as prognostic factors for OS (p < 0.01, p: 0.022, and p: 0.005, respectively). No statistically significant difference (PFS, OS) was found in patients receiving first-line anti-VEGF or anti-EGFR therapy. Conclusions: dMMR/MSI-H mCRC is an entity with different tumor biology. We consider that dMMR/MSI-H mCRC patients with BRAF wild, MCS and subsequent IO have better outcomes with 1st line 5FU-based treatment with anti-VEGF/anti-EGFRs.
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) | 0.001 | 0.001 |
| 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) | 0.001 | 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".