INTRODUCTION: Studies from selected candidate genes suggest that single-nucleotide polymorphisms (SNPs) involved in glutathione metabolism, DNA repair, or inflammatory responses may affect overall survival (OS) in stages I to II or low-stage non-small cell lung cancer (LS-NSCLC); however, results are inconclusive. In this study, we took a systematic pathway-based approach to simultaneously evaluate the impact of genetic variation from these three pathways on OS after LS-NSCLC diagnosis. METHODS: DNA from 647 patients with LS-NSCLC was genotyped for 480 SNPs (tag-SNPs) tagging 57 genes from the three candidate pathways. Associations of tag-SNPs with OS were assessed at the individual SNP and whole gene levels, adjusting for age, tumor stage, surgery type, and adjuvant therapy. The genotype combinations of the SNPs associated with OS were also estimated. RESULTS: Among the 412 tag-SNPs that were successfully genotyped and passed quality assessments, 28 showed association with OS (p < 0.05). Two of the 28 were estimated to have less than a 20% chance of being false positives (rs3768490 in GSTM5: p = 1.32 × 10, q = 0.06; rs1729786 in ABCC4: p = 9.25 × 10, q = 0.20). Gene-based analysis suggested that in addition to GSTM5 and ABCC4, variation in two other genes, PTGS2 and GSTA2, was also associated with OS. CONCLUSIONS: We describe further evidence that variations in genes involved in the glutathione and inflammatory response pathways are associated with OS in patients with LS-NSCLC. Further studies are warranted to verify our findings and elucidate their functional mechanisms and clinical utility leading to improved survival for patients with lung cancer.
INTRODUCTION: Studies from selected candidate genes suggest that single-nucleotide polymorphisms (SNPs) involved in glutathione metabolism, DNA repair, or inflammatory responses may affect overall survival (OS) in stages I to II or low-stage non-small cell lung cancer (LS-NSCLC); however, results are inconclusive. In this study, we took a systematic pathway-based approach to simultaneously evaluate the impact of genetic variation from these three pathways on OS after LS-NSCLC diagnosis. METHODS: DNA from 647 patients with LS-NSCLC was genotyped for 480 SNPs (tag-SNPs) tagging 57 genes from the three candidate pathways. Associations of tag-SNPs with OS were assessed at the individual SNP and whole gene levels, adjusting for age, tumor stage, surgery type, and adjuvant therapy. The genotype combinations of the SNPs associated with OS were also estimated. RESULTS: Among the 412 tag-SNPs that were successfully genotyped and passed quality assessments, 28 showed association with OS (p < 0.05). Two of the 28 were estimated to have less than a 20% chance of being false positives (rs3768490 in GSTM5: p = 1.32 × 10, q = 0.06; rs1729786 in ABCC4: p = 9.25 × 10, q = 0.20). Gene-based analysis suggested that in addition to GSTM5 and ABCC4, variation in two other genes, PTGS2 and GSTA2, was also associated with OS. CONCLUSIONS: We describe further evidence that variations in genes involved in the glutathione and inflammatory response pathways are associated with OS in patients with LS-NSCLC. Further studies are warranted to verify our findings and elucidate their functional mechanisms and clinical utility leading to improved survival for patients with lung cancer.
Authors: Daniela F Giachino; Paolo Ghio; Silvia Regazzoni; Giorgia Mandrile; Silvia Novello; Giovanni Selvaggi; Dario Gregori; Mario DeMarchi; Giorgio V Scagliotti Journal: Clin Cancer Res Date: 2007-05-15 Impact factor: 12.531
Authors: Maria Rius; Johanna Hummel-Eisenbeiss; Alan F Hofmann; Dietrich Keppler Journal: Am J Physiol Gastrointest Liver Physiol Date: 2005-11-10 Impact factor: 4.052
Authors: Marc Ansari; Géraldine Sauty; Malgorzata Labuda; Vincent Gagné; Caroline Laverdière; Albert Moghrabi; Daniel Sinnett; Maja Krajinovic Journal: Blood Date: 2009-06-10 Impact factor: 22.113
Authors: Cassandra Johnson; Vernon S Pankratz; Ana I Velazquez; Jeremiah A Aakre; Charles L Loprinzi; Nathan P Staff; Anthony J Windebank; Ping Yang Journal: J Neurol Sci Date: 2015-01-05 Impact factor: 3.181
Authors: Jeff A Sloan; Mariza de Andrade; Paul Decker; Jason Wampfler; Curtis Oswold; Matthew Clark; Ping Yang Journal: J Clin Oncol Date: 2012-03-26 Impact factor: 44.544
Authors: Liang Li; Daniel J Schaid; Brooke L Fridley; Krishna R Kalari; Gregory D Jenkins; Ryan P Abo; Anthony Batzler; Irene Moon; Linda Pelleymounter; Bruce W Eckloff; Eric D Wieben; Zhifu Sun; Ping Yang; Liewei Wang Journal: Pharmacogenet Genomics Date: 2012-02 Impact factor: 2.089