Raltitrexed as a substitute for capecitabine in metastatic gastric cancer: a case report and literature review
Bibliographic record
Abstract
Background: 5-Fluorouracil and its oral prodrug, capecitabine, are frequently used in the treatment of gastrointestinal cancers-including gastric cancer-but carry a cardiotoxicity risk. Raltitrexed (brand name Tomudex), a direct inhibitor of thymidylate synthase, has been successfully used as an alternative to fluoropyrimidines in patients with 5-fluorouracil-induced cardiac events. We report the first case, to our knowledge, of raltitrexed used with trastuzumab and platinum-based chemotherapy as a substitute for fluoropyrimidines following cardiotoxicity in a 78-year-old male patient with metastatic gastric cancer. Case Description: gastric adenocarcinoma. Capecitabine was replaced with raltitrexed, and the patient ultimately received seven cycles of chemotherapy, five of which included raltitrexed. There were no cardiotoxic events attributable to raltitrexed, although the patient did experience hypotensive episodes, premature ventricular contractions, myelosuppression, and anemia. Progression-free survival was 4.5 months, within the expected range achieved with the ToGA regimen (trastuzumab, cisplatin, 5-fluorouracil chemotherapy). At time of writing, the patient has been alive for 48 weeks since diagnosis. Conclusions: In summary, raltitrexed appears to be a safe alternative to fluoropyrimidines when combined with trastuzumab and platinum, although more data is needed to determine its relative effectiveness.
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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) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.002 | 0.001 |
| Bibliometrics | 0.005 | 0.005 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.002 |
| Open science | 0.002 | 0.001 |
| Research integrity | 0.003 | 0.002 |
| Insufficient payload (model declined to judge) | 0.002 | 0.001 |
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".