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Association of <i>isocitrate dehydorgenase-1</i> (<i>IDH-1</i>) mutations with elevated oncometabolite 2-hydroxyglutarate (2HG) in advanced colorectal cancer.

2016· article· en· W2475102219 on OpenAlexaff
Nazanin Fallah‐Rad, Philippe L. Bédard, Lillian L. Siu, Suzanne Kamel‐Reid, Helen Chow, Raymond Jang, Monika K. Krzyzanowska, Albiruni R. Abdul Razak, Eric Xueyu Chen

Bibliographic record

VenueJournal of Clinical Oncology · 2016
Typearticle
Languageen
FieldMedicine
TopicCholangiocarcinoma and Gallbladder Cancer Studies
Canadian institutionsUniversity Health NetworkPrincess Margaret Cancer Centre
Fundersnot available
KeywordsColorectal cancerKRASMedicineIDH1Internal medicineIsocitrate dehydrogenaseCancerIDH2OncologyCancer researchGastroenterologyMutationBiologyGeneticsGeneEnzyme

Abstract

fetched live from OpenAlex

627 Background: IDH-1 mutations are common in AML, gliomas, and intrahepatic cholangiocarcinoma. The enzyme product of the IDH-1 R132 variant preferentially catalyzes the NADPH-dependent reduction of alpha-ketoglutarate to the oncometabolite R-2-Hydroxyglutarate (R-2HG), resulting in accumulation of R-2HG, relative to its enantiomer, S-2HG. Elevated plasma levels of 2HG and/or higher ratios of R/S have been observed in AML and intrahepatic cholangiocarinoma, but not in gliomas. Only a few cases of IDH-1/2 mutations have been reported in advanced colorectal cancers (CRC). We investigated plasma levels of 2HG and relative ratios of R/S in CRC patients harboring IDH-1/2mutations. Methods: Between 2012 and 2015, 428 patients with advanced CRC were molecularly profiled through the COMPACT and IMPACT programs at the Princess Margaret Cancer Centre. Tumor DNAs were isolated from FFPE archived samples and genotyped using a customized Sequenom panel or Illumina MiSeq TruSeq Amplicon Cancer Panel in a CLIA-certified laboratory. Plasma samples from patients harboring IDH-1/2mutations and 4 gender/age matched control patients were analyzed for 2HG, R-2HG and S-2HG using HPLC tandem mass spectrometry coupled with a CHIROBIOTIC R column. Results: Of 428 patients with advanced CRC, 4 (0.9%) patients were identified to harbor IDH-1 mutation. No IDH-2 mutations were detected. The variants identified were R132C (2 patients), R132S, and R132H. 3 of 4 patients also harbored KRAS mutations. Patients with IDH-1 mutations had higher levels of 2HG (319 ± 102 ng/ml vs 195 ± 43 ng/ml, p = 0.043). The ratio of R/S were 0.44, 0.75, 1.59, and 2.60 in 4 patients with IDH-1 mutations and 1.3, 0.90, 0.41 and 0.67 in 3 patients without IDH-1mutations. Conclusions: IDH-1 mutations are rare in advanced CRC. 3 of 4 patients in our study had concurrent KRAS mutations. Patients with IDH-1 mutations had higher levels of oncometabolite 2HG compared with controls with no difference in R/S ratio.

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)0.001
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 score0.004
Threshold uncertainty score0.008

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0010.000
Insufficient payload (model declined to judge)0.0010.000

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 head0.044
GPT teacher head0.397
Teacher spread0.353 · 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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Citations7
Published2016
Admission routes1
Has abstractyes

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