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The Association of <i>FCGR2A</i> and <i>FCGR3A</i> polymorphisms with outcomes in cetuximab treated metastatic colorectal cancer patients: CCTG and AGITG CO.20 trial analysis.

2018· article· en· W2806173865 on OpenAlexaff
Daniel Shepshelovich, Amanda Townsend, Osvaldo Espin‐Garcia, Lidija Latifovic, Christopher J. O’Callaghan, Derek J. Jonker, Dongsheng Tu, Eric X. Chen, Eric Morgen, Timothy Price, Jeremy Shapiro, Lillian L. Siu, Kouros Owzar, Mark J. Ratain, Michiaki Kubo, Alexander Dobrovic, Wei Xu, Taisei Mushiroda, Geoffrey Liu

Bibliographic record

VenueJournal of Clinical Oncology · 2018
Typearticle
Languageen
FieldMedicine
TopicColorectal Cancer Treatments and Studies
Canadian institutionsOttawa HospitalUniversity of TorontoUniversity of OttawaPrincess Margaret Cancer Centre
Fundersnot available
KeywordsCetuximabMedicineInternal medicineHazard ratioGenotypeColorectal cancerOncologyProgression-free survivalGenotypingGastroenterologyCancerChemotherapyConfidence intervalBiologyGeneGenetics

Abstract

fetched live from OpenAlex

633 Background: We previously reported that the Fc-gamma receptor (FCGR) germline polymorphism in the FCGR2A gene (rs1801274; His (H) to Arg (R) substitution) but not FCGR3A (rs396991; Phe (F) to Val (V)) was associated with cetuximab benefit on overall survival (OS) in metastatic colorectal cancer patients (CCTG CO.17 trial). We performed a validation of these results in CO.20, a randomized trial of cetuximab+placebo vs. cetuximab+brivanib for metastatic, chemotherapy refractory, wild type K-RAS colorectal cancer. Methods: After genotyping DNA extracted from whole blood, the polymorphism relationships with OS and progression-free survival (PFS) were assessed using log-rank tests and hazard ratios (HR) from Cox proportional hazard models, adjusting for known prognostic factors. Results: Of 592/725 (82%) K-RAS wild type patients with available DNA and genotyping, those carrying the higher affinity FCGR2A H/H genotype (N = 165; 28%) had improved OS (HR 0.53; 95%CI:0.41-0.68) and PFS (HR 0.65; 95%CI:0.51-0.83) compared to those carrying the lower affinity R/R genotype (N = 128; 22%), corresponding to median absolute benefits of 3.7 (OS) and 3.3 months (PFS). The H/R genotype (N = 299; 50%) had intermediate outcomes. No significant associations were found between FCGR3A genotype and OS or PFS. No interaction between FCGR polymorphisms and treatment arm was observed. Patients carrying the double wild type combination of FCGR2A H/H and FCGR3A F/F genotypes (N = 45; 7.6%) had significantly better outcomes than other patients, particularly those carrying the rare (N = 11; 2%) R/R+ V/V genotype combination, corresponding to median absolute benefits of 12.5 (OS; HR 0.33 95%CI:0.16-0.68) and 4.5 (PFS; HR 0.45 95%CI:0.22-0.92) months. There were no significant associations between FCGR polymorphisms and either any grade of 3/4 toxicity or skin rash. Conclusions: In KRAS-wild type, cetuximab-treated patients, FCGR2A polymorphism was independently replicated to be associated with clinical outcome without affecting toxicity profiles. Additionally, in this large dataset, FCGR3A appears to modulate the relationship between FCGR2A polymorphism and outcome.

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)0.002
metaresearch head score (Gemma)0.003
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: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.005
Threshold uncertainty score0.010

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.003
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0020.001
Bibliometrics0.0000.001
Science and technology studies0.0000.001
Scholarly communication0.0010.000
Open science0.0010.000
Research integrity0.0010.001
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 head0.047
GPT teacher head0.424
Teacher spread0.377 · 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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Citations1
Published2018
Admission routes1
Has abstractyes

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