Angiomatoid fibrous histiocytoma occurring at distal/acral extremity sites: clinicopathological and molecular study of 26 cases highlighting frequent myxoid histology and site-dependent genotypic variation
Bibliographic record
Abstract
Angiomatoid fibrous histiocytoma (AFH) is a rare mesenchymal neoplasm of borderline malignancy (locally recurring, rarely metastasizing), most often involving the limbs, trunk, and head/neck. Rarely, AFH may involve unusual locations. Herein, we characterize the clinicopathologic features of 26 AFH of the distal extremities, including acral sites. The tumors occurred in 19 females and 7 males ranging in age from 12 to 76 years (median, 23 years). Tumors involved the upper (n = 19) and lower (n = 6) distal extremity; one affected an unspecified digital site. Twenty-two cases occurred in acral locations (hands and feet). Subsets of cases showed the following morphologic features: multinodular architecture (26/26), lymphoid cuffs (23/26), prominent stromal myxoid change (11/25), angiomatoid features (9/26), and cytologic pleomorphism (8/26). The average mitotic count was 1/10 HPF; 3 cases showed brisk mitotic activity (> 10 mitoses/10 HPF). Immunohistochemistry revealed variable expression of desmin (16/25), EMA (14/21) and ALK (5/8). Molecular testing revealed EWSR1 rearrangements in 17/18 cases (94%). Among 12 tumors with known fusion partners, the fusions partner was CREB1 in 6 cases (50%), CREM in 4 tumors (33%), ATF1 in one tumor (8%) and PBX3 (8%) in another tumor. Prominent myxoid features were noted in 75% CREM versus 33% of CREB1 versus 0% of ATF1-fused tumors. AFH occurring in distal extremity/acral locations have a predilection for females, upper extremity locations, frequent unusual (solid, non-angiomatoid and myxoid) morphology and higher frequency of CREM over ATF1 fusions. Awareness of the morphologic spectrum of these rare neoplasms is essential for correct classification.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 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 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".