Non‐resectable congenital tumors with the <i>ETV6</i>–<i>NTRK3</i> gene fusion are highly responsive to chemotherapy
Bibliographic record
Abstract
BACKGROUND: Recently, the ETV6-NTRK3 gene fusion has been identified in both infantile fibrosarcoma and cellular mesoblastic nephroma. For both these tumors standard curative treatment has been primarily surgical with wide local excision. This has frequently involved radical and even mutilating surgery. PROCEDURE: This report discusses three infants with congenital tumors, two congenital fibrosarcomas, and one atypical congenital mesoblastic nephroma, not easily amenable to surgical intervention. RESULTS: All three were treated with pre-operative chemotherapy with excellent responses negating the need for amputation in two patients. In each patient, the ETV6-NTRK3 gene fusion was identified by reverse transcriptase-polymerase chain reaction (RT-PCR) in the tumor specimens. CONCLUSIONS: Our findings suggest that the ETV6-NTRK3 gene fusion may underlie the distinctive biological properties of these tumors and may also indicate tumor chemosensitivity. In this group of patients pre-operative chemotherapy may abrogate the need for morbid surgical procedures.
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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 | 0.000 | 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".