Recurrent BRAF Gene Fusions in a Subset of Pediatric Spindle Cell Sarcomas
Bibliographic record
Abstract
Infantile fibrosarcomas (IFS) represent a distinct group of soft tissue tumors occurring in patients under 2 years of age and most commonly involving the extremities. Most IFS show recurrent ETV6-NTRK3 gene fusions, sensitivity to chemotherapy, and an overall favorable clinical outcome. However, outside these well-defined pathologic features, no studies have investigated IFS lacking ETV6-NTRK3 fusions, or tumors with the morphology resembling IFS in older children. This study was triggered by the identification of a novel SEPT7-BRAF fusion in an unclassified retroperitoneal spindle cell sarcoma in a 16-year-old female by targeted RNA sequencing. Fluorescence in situ hybridization screening of 9 additional tumors with similar phenotype and lacking ETV6-NTRK3 identified 4 additional cases with BRAF gene rearrangements in the pelvic cavity (n=2), paraspinal region (n=1), and thigh (n=1) of young children (0 to 3 y old). Histologically, 4 cases including the index case shared a fascicular growth of packed monomorphic spindle cells, with uniform nuclei and fine chromatin, and a dilated branching vasculature; while the remaining case was composed of compact cellular sheets of short spindle to ovoid cells. In addition, a minor small blue round cell component was present in 1 case. Mitotic activity ranged from 1 to 9/10 high power fields. Immunohistochemical stains were nonspecific, with only focal smooth muscle actin staining demonstrated in 3 cases tested. Of the remaining 5 BRAF negative cases, further RNA sequencing identified 1 case with EML4-NTRK3 in an 1-year-old boy with a foot IFS, and a second case with TPM3-NTRK1 fusion in a 7-week-old infant with a retroperitoneal lesion. Our findings of recurrent BRAF gene rearrangements in tumors showing morphologic overlap with IFS expand the genetic spectrum of fusion-positive spindle cell sarcomas, to include unusual presentations, such as older children and adolescents and predilection for axial location, thereby opening new opportunities for kinase-targeted therapeutic intervention.
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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) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| 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) | 0.001 | 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".