A Case of <i>BRCA2</i>-Pathogenic Variant Breast Cancer With Metachronous Endometrial Cancer and Pancreatic Cancer
Bibliographic record
Abstract
Since the popularization of cancer screening and an improvement in treatment over the last two decades, multiple primary malignant neoplasms (MPMNs) have been increasingly reported. We report a patient who developed metachronous MPMNs in the breast, the endometrium, and the pancreas over a period of 13 years. A 42-year-old woman was first diagnosed with breast cancer and underwent breast-conserving surgery with adjuvant radiation therapy and endocrine therapy. Four years after breast surgery, she was diagnosed with endometrial cancer and underwent a laparoscopic modified radical hysterectomy with bilateral oophorectomy with pelvic lymph node dissection followed by adjuvant chemotherapy. However, there was peritoneal dissemination of endometrial cancer 1 year after surgery, which could be removed laparoscopically followed by adjuvant chemotherapy. Ten years after breast cancer surgery, pleural metastasis of breast cancer was diagnosed and treated by endocrine therapy. Thirteen years after breast cancer surgery, a pancreatic tumor with multiple liver masses emerged. It was difficult to diagnose whether primary or metastasis cancer by the results of the pathological analysis. Finally, we diagnosed primary pancreatic cancer with liver metastasis by clinical examination with the BRCA2 -pathogenic variant. These tumors were well responded to chemotherapy and the patient survived during a follow-up period of 8 months. According to MPMNs, breast cancer patients should be followed-up carefully for the possibility of BRCA pathogenic variant and development of different primary malignant neoplasms. World J Oncol. 2023;14(4):309-315 doi: https://doi.org/10.14740/wjon1658
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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 | 0.003 |
| Meta-epidemiology (narrow) | 0.001 | 0.002 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.003 | 0.001 |
| Scholarly communication | 0.002 | 0.002 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.004 | 0.003 |
| 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".