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Differential overall survival (OS) results in RECORD-3 study based on three distinct mRCC molecular subgroups classified by BAP1 and/or PBRM1 mutations.

2016· article· en· W2591351015 on OpenAlexaff
James J. Hsieh, David Chen, Patricia Wang, Ying‐Bei Chen, Mahtab Marker, Parul Patel, Michael Chevinsky, Umesh Bhanot, Patrizia Pinciroli, Michael F. Berger, Emily H. Cheng, William Lee, Jennifer J. Knox, Martin H. Voss, Maurizio Voi, Robert J. Motzer

Bibliographic record

VenueJournal of Clinical Oncology · 2016
Typearticle
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicCancer Genomics and Diagnostics
Canadian institutionsPrincess Margaret Cancer Centre
Fundersnot available
KeywordsBAP1MedicineSunitinibARID1AGermlineExonGeneOncologyInternal medicineCancerCancer researchMutationMolecular biologyGeneticsBiology

Abstract

fetched live from OpenAlex

561 Background: PBRM1 and BAP1, both of which encode chromatin modulating proteins, have recently been identified as frequently mutated tumor suppressor genes in RCC. However, their correlation with outcomes of targeted therapies is unknown. We explored correlations between overall survival (OS) and mutations in archival tumor samples from RECORD-3, a randomized phase 2 trial comparing first-line everolimus (EVE) then sunitinib (SUN) to first-line SUN then EVE at progression in 471 treatment-naïve mRCC patients (J Clin Oncol 2014; 32:2764). Methods: Somatic mutations in exons of 341 cancer related genes were identified by a next generation sequencing (NGS) assay (MSK IMPACT). Association between genotypes and OS was assessed by Cox PH models and log-rank tests. Results: DNA of 258 archival tumor and 181 matched germline samples was successfully analyzed (median coverage 530X). Three molecular subgroups Gr1 (BAP1 MT [mutant], PBRM1 WT [wild-type]/MT; 17.4%), Gr2 (PBRM1 MT, BAP1 WT; 38.4%), and Gr3 (PBRM1 WT, BAP1 WT; 44.2%) with different OS outcomes after sequential EVE-SUN or SUN-EVE were identified (Table). In the sequential EVE-SUN arm, median OS (months) was shortest with Gr1 (9.8; 95% CI, 7.8–20.0), longest with Gr2 (39.6; 95% CI, 31.7–not estimable), and intermediate with Gr3 (18.1; 13.7–30.0), whereas in the SUN-EVE arm there was no significant difference among groups. When comparing OS between treatment sequences within molecular groups, a trend suggested differences for EVE-SUN vs SUN-EVE in Gr1 (HR 1.5), Gr2 (0.8), and Gr3 (1.2), although comparisons were not statistically significant. Conclusions: Our results suggest that these genotypes may represent distinct RCC molecular subtypes with potentially different predictive/prognostic values on targeted therapies. Different treatment sequences may be considered depending on the genotypes. Clinical trial information: NCT00903175. [Table: see text]

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 imitation

Not 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.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.001
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.002
Threshold uncertainty score0.005

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.001
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)0.0020.000

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 head0.062
GPT teacher head0.385
Teacher spread0.324 · 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 source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
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".

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Citations3
Published2016
Admission routes1
Has abstractyes

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