Pseudoendocrine Sarcoma
Bibliographic record
Abstract
The number of recognized epithelioid soft tissue neoplasms continues to increase and includes epithelioid schwannoma, sclerosing epithelioid fibrosarcoma, and emerging entities such as sarcomas with GLI1 alterations. Here, we describe 23 cases of a previously unrecognized entity, provisionally termed “pseudoendocrine sarcoma.” Pseudoendocrine sarcoma is a rare, distinctive tumor of uncertain lineage with a predilection for paravertebral soft tissue in older adults. Fifteen patients (65%) were male and 8 were female. Age at presentation ranged from 29 to 78 years (median: 62 y). Nineteen tumors (83%) occurred in truncal locations, including 15 tumors (65%) in paravertebral soft tissue; other locations included the posterior head (2 tumors), thigh (1), and orbit (1). Tumor size ranged from 2 to 19 cm (median: 6.35 cm). Pseudoendocrine sarcoma is composed of sheets, trabeculae, and nests of epithelioid or ovoid cells with indistinct borders, palely eosinophilic cytoplasm, and highly monomorphic, round nuclei with speckled chromatin. Pseudoglandular architecture was at least focally present in 16 tumors (70%), large extracellular hyaline globules were identified in 12 tumors (52%), and psammomatous calcifications were present in 8 (35%). Metaplastic ossification was identified in 2 tumors, and myxoid stroma was present in 1. Lymphovascular invasion was present in 5 of 18 tumors (28%). Immunohistochemistry demonstrated that most tumors showed nuclear positivity for β-catenin (20/21 tumors; 95%), and some showed at least focal positivity for S-100 (9/22; 41%), desmin (3/8; 38%), or CD34 (2/8; 25%). All tumors were negative for neuroendocrine and epithelial markers, including synaptophysin (21 tumors), chromogranin (19), INSM1 (4), pan-K (16), CAM5.2 (13), AE1/AE3 (6), epithelial membrane antigen (20), and E-cadherin (13). DNA sequencing detected CTNNB1 point mutations in all 6 sequenced tumors: D32H, S33C, S33F, S37A, S37C, and S37F. RNA sequencing was negative for gene fusions in all 6 sequenced tumors. Clinical follow-up was available for 17 patients (74%; range: 4 mo to 20 y; median: 3.5 y), including 14 patients with >1 year of follow-up. Six of 14 patients with long-term follow-up experienced local recurrence (43%, at intervals of 3 to 6 y). One tumor showed a local lymph node metastasis within the primary excision specimen, and 3 patients developed distant lung metastases (21%). No patient died of the disease as yet. Despite its bland morphology and resemblance to the well-differentiated neuroendocrine tumor, pseudoendocrine sarcoma is best considered an intermediate-grade sarcoma, given its pathologic characteristics and clinical behavior.
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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) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.001 | 0.000 |
| Insufficient payload (model declined to judge) | 0.006 | 0.003 |
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".