Malignant Peripheral Nerve Sheath Tumor (<scp>MPNST</scp>) With Smooth Muscle Differentiation of the Uterus—A Case Report With Emphasis on Diagnostic Pitfalls and Value of <scp>DNA</scp> Methylation Analysis
Bibliographic record
Abstract
With no more than two dozen cases reported in the literature, malignant peripheral nerve sheath tumor (MPNST) is a rare primary mesenchymal neoplasm arising in the female genital tract. Most cases occurred in middle-aged adults with high grade histology, unfavorable clinical outcome, and no history of neurofibromatosis type 1. Its extreme rarity in this site no doubt poses a diagnostic challenge during routine clinical practice. In the following, we report an additional case of uterine MPNST occurring in a 49-year-old Chinese woman, which was initially misdiagnosed as a leiomyosarcoma. The primary tumor showed two distinctive components-a high-grade poorly differentiated component with markedly pleomorphic spindle cells arranged in a peritheliomatous pattern; and a leiomyosarcoma-like (LMS-like) component with tumor cells displaying obvious myoid differentiation. The patient suffered a recurrence less than 2 years later with the recurrent tumor demonstrating similar features to the high-grade component of the primary tumor. The patient eventually succumbed 46 months later after developing another recurrence despite receiving targeted therapy and chemotherapy. On retrospective molecular analysis, no clinically relevant fusion transcript was detected on RNA sequencing. Interestingly instead, DNA methylation analysis showed the tumor clustered with the "MPNST" group in the German Cancer Research Center (DKFZ) sarcoma classifier. The tumor was also found to have EED gene homozygous deletion, multiple copy number alterations and loss of H3K27me3 expression in both high-grade and LMS-like components. Combining histology with all the ancillary tests results, the diagnosis was most consistent with MPNST. Our case highlights the diagnostic pitfalls for MPNST arising in the female genital tract and the potential clinical utility of DNA methylation analysis.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 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) | 0.000 | 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 teacher head, 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".