Extended Survival with Pancreatic Carcinosarcoma: A Case Report and Literature Review
Bibliographic record
Abstract
Pancreatic carcinosarcoma is a rare and aggressive malignancy that can mimic pancreatic adenocarcinomas in presentation but often has different disease biology and different responses to conventional treatment for pancreatic adenocarcinoma. Case reports have documented a 5-year overall survival of approximately 13% only if the disease is caught at an earlier stage and is amenable to multi-modality treatment, including surgery, chemotherapy, and radiation. In the advanced stage, treatments do not often provide benefit, and patients may decline rapidly. There are currently no studies demonstrating survival benefits with chemotherapy in patients with metastatic carcinosarcoma, owing to both the rarity and the often late diagnosis of this aggressive entity. We present a case of a 71-year-old male patient diagnosed with metastatic pancreatic carcinosarcoma who received four lines of palliative-intent treatment: gemcitabine and nab-paclitaxel, modified FOLFIRINOX, GTX, and doxorubicin. With careful selection of chemotherapeutic regimen as well as his ability to tolerate four lines of treatment, this resulted in an unprecedented 26-month survival. We also reviewed the literature on the histopathology, diagnosis, and treatment of this rare entity.
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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 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.005 | 0.005 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.002 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.002 | 0.001 |
| Insufficient payload (model declined to judge) | 0.003 | 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".