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pmid:26173780
Mutant KRAS associated malic enzyme 1 expression is a predictive marker for radiation therapy response in non-small cell lung cancer.
Gaurab Chakrabarti
Radiation oncology (London, England) · 2015 doi:10.1186/s13014-015-0457-x
Paper
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Experiment
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Data
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Analysis
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Complete file
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Predictive biomarkers for response to radiotherapy are lacking in this patient population, making it a non-tailored therapy regimen with unknown outcome. Twenty to 30 % of NSCLC harbor an activating mutation in KRAS that may confer radioresistance. We hypothesized that mutant KRAS can regulate glutamine metabolism genes in NSCLC and maintain tumor redox balance through transamination reactions that generate cytosolic NADPH via malic enzyme 1 (ME1), which may contribute to radioresistance.\nFINDINGS: A doxycycline-inducible mouse model of KRAS (G12D) driven NSCLC and patient data was analyzed from multiple publicly accessible databases including TCGA, CCLE, NCBI GEO and Project Achilles. ME1 expression was found to be mutant KRAS associated in both a NSCLC mouse model and human NSCLC cancer cell lines. Perturbing glutamine metabolism sensitized mutant KRAS, but not wild-type KRAS NSCLC cell lines to radiation treatment. NSCLC survival analysis revealed that patients with elevated ME1 and GOT1 expression had significantly worse outcomes after radiotherapy, but this was not seen after chemotherapy alone.\nCONCLUSIONS: KRAS driven glutamine metabolism genes, specifically ME1 and GOT1 reactions, may be a predictive marker and potential therapeutic target for radiotherapy in NSCLC.", "claims": [{"id": "claim-method", "statement": "Kaplan-Meier survival plot and the hazard ratio with 95 % confidence intervals and logrank P value is calculated with the Bioconductor package in R.", "kind": "methodological", "target": null, "evidence": [{"asset": "source:pmid:26173780", "locator": "sections[8] \"Kaplan-Meier statistics\" paragraph 2", "quote": "Kaplan-Meier survival plot and the hazard ratio with 95 % confidence intervals and logrank P value is calculated with the Bioconductor package in R."}], "state": "complete"}, {"id": "claim-data-access", "statement": "All human data is sourced through The Cancer Genome Atlas (http://cancergenome.nih.gov/), no patients were approached for this study. 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