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Record W2599249056 · doi:10.18632/oncotarget.16773

Genetic landscape of extreme responders with anaplastic oligodendroglioma

2017· article· en· W2599249056 on OpenAlexaffabout
Matthias Holdhoff, Gregory Cairncross, Thomas M. Kollmeyer, Ming Zhang, Jianwen Zhang, Minesh P. Mehta, Maria Werner‐Wasik, Luís Souhami, Jean-Paul Bahary, Young Kwok, Alan C. Hartford, Arnab Chakravarti, Srinivasan Yegnasubramanian, Bert Vogelstein, Nickolas Papadopoulos, Kenneth W. Kinzler, Robert B. Jenkins, Chetan Bettegowda

Bibliographic record

VenueOncotarget · 2017
Typearticle
Languageen
FieldMedicine
TopicGlioma Diagnosis and Treatment
Canadian institutionsCentre Hospitalier de l’Université de MontréalMcGill University Health Centre
FundersNational Cancer InstituteNRG Oncology
KeywordsMedicineOncologyGenotypingInternal medicineGenotypeAlleleOligodendrogliomaGliomaCancer researchGeneticsBiologyGene

Abstract

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// Matthias Holdhoff 1 , Gregory J. Cairncross 2 , Thomas M. Kollmeyer 3 , Ming Zhang 1 , Peixin Zhang 4 , Minesh P. Mehta 5 , Maria Werner-Wasik 6 , Luis Souhami 7 , Jean-Paul Bahary 8 , Young Kwok 5 , Alan C. Hartford 9 , Arnab Chakravarti 10 , Srinivasan Yegnasubramanian 1 , Bert Vogelstein 1 , Nickolas Papadopoulos 1 , Kenneth Kinzler 1 , Robert B. Jenkins 3 and Chetan Bettegowda 1 1 The Sidney Kimmel Comprehensive Cancer Center at Johns Hopkins, Baltimore, MD, USA 2 Charbonneau Cancer Institute at the University of Calgary, Calgary, AB, USA 3 Mayo Clinic, Rochester, MN, USA 4 NRG Oncology Statistics and Data Management Center, Philadelphia, PA, USA 5 University of Maryland Medical Center, Baltimore, MD, USA 6 Thomas Jefferson University Hospital, Philadelphia, PA, USA 7 McGill University Health Centre, Montreal, QC, Canada 8 Centre Hospitalier de l’Université de Montréal, Montreal University, Montreal, QC, Canada 9 Darthmouth-Hitchcock Medical Center, Lebanon, NH, USA 10 The Ohio State University, Columbus, OH, USA Correspondence to: Matthias Holdhoff, email: // Chetan Bettegowda, email: // Keywords : oligodendroglioma, chemotherapy, survival, genomics, co-deletion 1p/19q Received : October 01, 2016 Accepted : March 21, 2017 Published : March 31, 2017 Abstract Background: The NRG Oncology RTOG 9402 trial showed significant survival benefit in patients with 1p/19q co-deleted anaplastic oligodendrogliomas (AO) who received both radiation (RT) and chemotherapy (PCV regimen) versus RT alone. Substantial separation of the survival curves was only seen after 7.3 years. We aimed to determine whether there are specific genetic alterations that distinguish co-deleted AO patients who benefit from the addition of PCV from those who do not. Methods: We performed whole exome sequencing on matched tumor and normal DNA from all available short-term (STS) and long-term survivors (LTS) who received RT+PCV. hTERT status and rs55705857 genotypes (G-allele) were analyzed in both cohorts. Results: Six STS (survival of <7.3y) and 7 LTS (survival of ≥7.3y and no progression) had sufficient material for analysis. There was no significant difference between the groups regarding age, performance status and extent of resection. On average, STS had 7 and LTS 4 mutations. Most common mutations in STS vs . LTS were: IDH1 (67 vs. 86%), CIC (50 vs . 71%) and FUBP1 (17 vs . 71%). The hTERT promoter was mutated in 83% STS and 86% LTS. Genotyping of rs55705857 showed a higher prevalence of G allele carriers in LTS than STS (43 vs . 17%). Conclusions: These findings confirm that IDH , CIC , FUBP1 mutations and rs55705857 genotype are common in AO. No distinct genetic signature was identified to differentiate STS and LTS.

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)0.000
metaresearch head score (Gemma)0.002
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 score0.003
Threshold uncertainty score0.011

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0000.000
Scholarly communication0.0010.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0030.001

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 head0.025
GPT teacher head0.269
Teacher spread0.243 · 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".

Quick stats

Citations10
Published2017
Admission routes2
Has abstractyes

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