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Record W4403188104 · doi:10.4103/jcrt.jcrt_2203_22

SALL4 and C-kit positive malignant extrarenal rhabdoid tumor of the pelvis in a child: A diagnostic and therapeutic challenge

2023· article· en· W4403188104 on OpenAlexaff
Saloni Pahwa, Sunil Pasricha, Gauri Kapoor, Ankush Jajodia, Venkata Pradeep Babu Koyyala, Anurag Mehta

Bibliographic record

VenueJournal of Cancer Research and Therapeutics · 2023
Typearticle
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicChromatin Remodeling and Cancer
Canadian institutionsMcMaster UniversityHamilton Health SciencesJuravinski Cancer Centre
Fundersnot available
KeywordsSMARCB1ImmunohistochemistryPathologyStem cellSoft tissueEmbryonic stem cellBiologyMedicineChromatinCancer researchChromatin remodelingGeneGenetics

Abstract

fetched live from OpenAlex

ABSTRACT: Extrarenal rhabdoid tumors (ERRTs) are highly aggressive pediatric tumors with very few cases reported in the literature. These tumors, similar to their renal counterparts, are characterized by inactivating mutations of the SMARCB1/INI-1 gene, a member of the SWI/SNF chromatin remodeling pathway. Diagnosis of ERRTs appears challenging owing to its rarity, varied morphological profile with a higher tendency for rhabdoid differentiation, and overlapping features with other SMARCB-1 deficient tumors. Here, we report a case of ERRT in the pelvis of a three-year-old child with an unusual expression of SALL4 and C-kit on immunohistochemistry. A complete immunohistochemical workup might help in differentiating ERRTs from other SMARCB1/INI1-deficient soft tissue tumors. The expression of stem cell markers in the presented case also suggests that these tumors might originate from or share similarities with embryonic stem cells or germ cells.

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 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)0.001
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: Bench or experimental · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.634
Threshold uncertainty score0.263

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
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 head0.037
GPT teacher head0.358
Teacher spread0.321 · 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

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designBench or experimental
Domainnot available
GenreEmpirical

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".

Quick stats

Citations0
Published2023
Admission routes1
Has abstractyes

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