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Inflammation-related Genetic Variations and Survival for Advanced Non-Small Cell Lung Cancer Receiving First-line Chemotherapy

BACKGROUND: accurate prognostic prediction is challenging for advanced-stage non-small cell lung cancer (NSCLC) patients. METHODS: we systematically investigated genetic variants within inflammation pathway as potential prognostic markers for advanced-stage NSCLC patients treated with first-line che...

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Autores principales: Pu, Xia, Hildebrandt, Michelle A., Lu, Charles, Roth, Jack A., Stewart, David J., Zhao, Yang, Heist, Rebecca S., Ye, Yuanqing, Chang, David W., Su, Li, Minna, John D., Lippman, Scott M., Spitz, Margaret R., Christiani, David C., Wu, Xifeng
Formato: Online Artículo Texto
Lenguaje:English
Publicado: 2014
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4141040/
https://www.ncbi.nlm.nih.gov/pubmed/24755914
http://dx.doi.org/10.1038/clpt.2014.89
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author Pu, Xia
Hildebrandt, Michelle A.
Lu, Charles
Roth, Jack A.
Stewart, David J.
Zhao, Yang
Heist, Rebecca S.
Ye, Yuanqing
Chang, David W.
Su, Li
Minna, John D.
Lippman, Scott M.
Spitz, Margaret R.
Christiani, David C.
Wu, Xifeng
author_facet Pu, Xia
Hildebrandt, Michelle A.
Lu, Charles
Roth, Jack A.
Stewart, David J.
Zhao, Yang
Heist, Rebecca S.
Ye, Yuanqing
Chang, David W.
Su, Li
Minna, John D.
Lippman, Scott M.
Spitz, Margaret R.
Christiani, David C.
Wu, Xifeng
author_sort Pu, Xia
collection PubMed
description BACKGROUND: accurate prognostic prediction is challenging for advanced-stage non-small cell lung cancer (NSCLC) patients. METHODS: we systematically investigated genetic variants within inflammation pathway as potential prognostic markers for advanced-stage NSCLC patients treated with first-line chemotherapy. A discovery phase in 502 patients and an internal validation in 335 patients were completed at MD Anderson Cancer Center. External validation was performed in 371 patients at Harvard University. RESULTS: a missense SNP (HLA-DOB:rs2071554) predicted to influence protein function was significantly associated with poor survival in the discovery (HR:1.46, 95% CI:1.02-2.09), internal validation (HR:1.51, 95% CI:1.02-2.25), and external validation (HR:1.52, 95% CI:1.01-2.29) populations. KLRK1:rs2900420 was associated with a reduced risk in the discovery (HR:0.76, 95% CI:0.60-0.96), internal validation (HR:0.77, 95% CI:0.61-0.99), and external validation (HR:0.80, 95% CI:0.63-1.02) populations. A strong cumulative effect was observed for these SNPs on overall survival. CONCLUSIONS: Genetic variations in inflammation-related genes could have potential to complement prediction of prognosis.
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spelling pubmed-41410402015-09-01 Inflammation-related Genetic Variations and Survival for Advanced Non-Small Cell Lung Cancer Receiving First-line Chemotherapy Pu, Xia Hildebrandt, Michelle A. Lu, Charles Roth, Jack A. Stewart, David J. Zhao, Yang Heist, Rebecca S. Ye, Yuanqing Chang, David W. Su, Li Minna, John D. Lippman, Scott M. Spitz, Margaret R. Christiani, David C. Wu, Xifeng Clin Pharmacol Ther Article BACKGROUND: accurate prognostic prediction is challenging for advanced-stage non-small cell lung cancer (NSCLC) patients. METHODS: we systematically investigated genetic variants within inflammation pathway as potential prognostic markers for advanced-stage NSCLC patients treated with first-line chemotherapy. A discovery phase in 502 patients and an internal validation in 335 patients were completed at MD Anderson Cancer Center. External validation was performed in 371 patients at Harvard University. RESULTS: a missense SNP (HLA-DOB:rs2071554) predicted to influence protein function was significantly associated with poor survival in the discovery (HR:1.46, 95% CI:1.02-2.09), internal validation (HR:1.51, 95% CI:1.02-2.25), and external validation (HR:1.52, 95% CI:1.01-2.29) populations. KLRK1:rs2900420 was associated with a reduced risk in the discovery (HR:0.76, 95% CI:0.60-0.96), internal validation (HR:0.77, 95% CI:0.61-0.99), and external validation (HR:0.80, 95% CI:0.63-1.02) populations. A strong cumulative effect was observed for these SNPs on overall survival. CONCLUSIONS: Genetic variations in inflammation-related genes could have potential to complement prediction of prognosis. 2014-04-22 2014-09 /pmc/articles/PMC4141040/ /pubmed/24755914 http://dx.doi.org/10.1038/clpt.2014.89 Text en http://www.nature.com/authors/editorial_policies/license.html#terms Users may view, print, copy, and download text and data-mine the content in such documents, for the purposes of academic research, subject always to the full Conditions of use:http://www.nature.com/authors/editorial_policies/license.html#terms
spellingShingle Article
Pu, Xia
Hildebrandt, Michelle A.
Lu, Charles
Roth, Jack A.
Stewart, David J.
Zhao, Yang
Heist, Rebecca S.
Ye, Yuanqing
Chang, David W.
Su, Li
Minna, John D.
Lippman, Scott M.
Spitz, Margaret R.
Christiani, David C.
Wu, Xifeng
Inflammation-related Genetic Variations and Survival for Advanced Non-Small Cell Lung Cancer Receiving First-line Chemotherapy
title Inflammation-related Genetic Variations and Survival for Advanced Non-Small Cell Lung Cancer Receiving First-line Chemotherapy
title_full Inflammation-related Genetic Variations and Survival for Advanced Non-Small Cell Lung Cancer Receiving First-line Chemotherapy
title_fullStr Inflammation-related Genetic Variations and Survival for Advanced Non-Small Cell Lung Cancer Receiving First-line Chemotherapy
title_full_unstemmed Inflammation-related Genetic Variations and Survival for Advanced Non-Small Cell Lung Cancer Receiving First-line Chemotherapy
title_short Inflammation-related Genetic Variations and Survival for Advanced Non-Small Cell Lung Cancer Receiving First-line Chemotherapy
title_sort inflammation-related genetic variations and survival for advanced non-small cell lung cancer receiving first-line chemotherapy
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4141040/
https://www.ncbi.nlm.nih.gov/pubmed/24755914
http://dx.doi.org/10.1038/clpt.2014.89
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