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Record W2147677243 · doi:10.1002/mpo.10272

Non‐resectable congenital tumors with the <i>ETV6</i>–<i>NTRK3</i> gene fusion are highly responsive to chemotherapy

2003· article· en· W2147677243 on OpenAlex
Emma McCahon, Poul H. Sorensen, Jeffrey Davis, Paul Rogers, Kirk R. Schultz

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenueMedical and Pediatric Oncology · 2003
Typearticle
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicRenal and related cancers
Canadian institutionsBC Children's HospitalUniversity of British Columbia
Fundersnot available
KeywordsMedicineChemotherapyFusion geneAmputationFibrosarcomaSurgeryPathologyGeneBiologyGenetics

Abstract

fetched live from OpenAlex

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.

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.

Full frame distilled prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.328
Threshold uncertainty score0.393

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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.

Opus teacher head0.003
GPT teacher head0.227
Teacher spread0.223 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it