Potentially functional variants of ERRFI1 in hypoxia-related genes predict survival of non-small cell lung cancer patients

被引:1
作者
Wang, Huilin [1 ,2 ,3 ]
Liu, Hongliang [2 ,3 ]
Lu, Guojun [2 ,3 ,4 ]
Tang, Xiaozhun [2 ,3 ,5 ]
Luo, Sheng [6 ]
Du, Mulong [7 ,8 ]
Christiani, David C. [7 ,8 ,9 ]
Wei, Qingyi [2 ,3 ,10 ,11 ]
机构
[1] Guangxi Med Univ, Guangxi Canc Hosp, Canc Hosp, Dept Resp Oncol, Nanning, Guangxi, Peoples R China
[2] Duke Univ, Duke Canc Inst, Med Ctr, 905 S LaSalle St, Durham, NC 27710 USA
[3] Duke Univ, Sch Med, Dept Populat Hlth Sci, 905 S LaSalle St, Durham, NC 27710 USA
[4] Nanjing Med Univ, Nanjing Chest Hosp, Affiliated Nanjing Brain Hosp, Dept Resp Med, Nanjing, Jiangsu, Peoples R China
[5] Guangxi Med Univ, Guangxi Canc Hosp, Canc Hosp, Dept Head & Neck Surg, Nanning, Guangxi, Peoples R China
[6] Duke Univ, Sch Med, Dept Biostat & Bioinformat, Durham, NC 27710 USA
[7] Harvard TH Chan Sch Publ Hlth, Dept Environm Hlth, Boston, MA USA
[8] Harvard TH Chan Sch Publ Hlth, Dept Epidemiol, Boston, MA USA
[9] Massachusetts Gen Hosp, Dept Med, Boston, MA USA
[10] Duke Univ, Med Ctr, Dept Med, Durham, NC 27710 USA
[11] Duke Univ, Duke Global Hlth Inst, Med Ctr, Durham, NC 27710 USA
关键词
ERRFI1; genome-wide association study; hypoxia; non-small cell lung cancer; overall survival; single-nucleotide polymorphism; EXPRESSION; RESISTANCE; GENOTYPES; INHIBITION; DATABASE; MIG6;
D O I
10.1002/cam4.70073
中图分类号
R73 [肿瘤学];
学科分类号
100214 ;
摘要
Background Hypoxia is often involved in tumor microenvironment, and the hypoxia-induced signaling pathways play a key role in aggressive cancer phenotypes, including angiogenesis, immune evasion, and therapy resistance. However, it is unknown what role genetic variants in the hypoxia-related genes play in survival of patients with non-small cell lung cancer (NSCLC). Methods We evaluated the associations between 16,092 single-nucleotide polymorphisms (SNPs) in 182 hypoxia-related genes and survival outcomes of NSCLC patients. Data from the Prostate, Lung, Colorectal, and Ovarian (PLCO) Cancer Screening Trial were used as the discovery dataset, and the Harvard Lung Cancer Susceptibility (HLCS) Study served as the replication dataset. We also performed additional linkage disequilibrium analysis and a stepwise multivariable Cox proportional hazards regression analysis in the PLCO dataset. Results An independent SNP, ERRFI1 rs28624 A > C, was identified with an adjusted hazards ratio (HR) of 1.31 (95% CI = 1.14-1.51, p = 0.0001) for overall survival (OS). In further analyses, unfavorable genotypes AC and CC, compared with the AA genotype, were associated a worse OS (HR = 1.20, 95% CI = 1.03-1.39, p = 0.014) and disease-specific survival (HR = 1.21, 95% CI = 1.04-1.42, p = 0.016). Further expression quantitative trait loci analysis indicated that ERRFI1 rs28624C genotypes were significantly associated with higher ERRFI1 mRNA expression levels in the whole blood. Additional analysis showed that high ERRFI1 mRNA expression levels were associated with a worse OS in patients with lung adenocarcinoma. Conclusion Our findings suggest that genetic variants in the hypoxia-related gene ERRFI1 may modulate NSCLC survival, potentially through their effect on the gene expression.
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页数:12
相关论文
共 45 条
[1]   Loss of RALT/MIG-6 expression in ERBB2-amplified breast carcinomas enhances ErbB-2 oncogenic potency and favors resistance to Herceptin [J].
Anastasi, S ;
Sala, G ;
Chen, HP ;
Caprini, E ;
Russo, G ;
Iacovelli, S ;
Lucini, F ;
Ingvarsson, S ;
Segatto, O .
ONCOGENE, 2005, 24 (28) :4540-4548
[2]   Feedback inhibition by RALT controls signal output by the ErbB network [J].
Anastasi, S ;
Fiorentino, L ;
Fiorini, M ;
Fraioli, R ;
Sala, G ;
Castellani, L ;
Alemà, S ;
Alimandi, M ;
Segatto, O .
ONCOGENE, 2003, 22 (27) :4221-4234
[3]   The Genotype-Tissue Expression (GTEx) pilot analysis: Multitissue gene regulation in humans [J].
Ardlie, Kristin G. ;
DeLuca, David S. ;
Segre, Ayellet V. ;
Sullivan, Timothy J. ;
Young, Taylor R. ;
Gelfand, Ellen T. ;
Trowbridge, Casandra A. ;
Maller, Julian B. ;
Tukiainen, Taru ;
Lek, Monkol ;
Ward, Lucas D. ;
Kheradpour, Pouya ;
Iriarte, Benjamin ;
Meng, Yan ;
Palmer, Cameron D. ;
Esko, Tonu ;
Winckler, Wendy ;
Hirschhorn, Joel N. ;
Kellis, Manolis ;
MacArthur, Daniel G. ;
Getz, Gad ;
Shabalin, Andrey A. ;
Li, Gen ;
Zhou, Yi-Hui ;
Nobel, Andrew B. ;
Rusyn, Ivan ;
Wright, Fred A. ;
Lappalainen, Tuuli ;
Ferreira, Pedro G. ;
Ongen, Halit ;
Rivas, Manuel A. ;
Battle, Alexis ;
Mostafavi, Sara ;
Monlong, Jean ;
Sammeth, Michael ;
Mele, Marta ;
Reverter, Ferran ;
Goldmann, Jakob M. ;
Koller, Daphne ;
Guigo, Roderic ;
McCarthy, Mark I. ;
Dermitzakis, Emmanouil T. ;
Gamazon, Eric R. ;
Im, Hae Kyung ;
Konkashbaev, Anuar ;
Nicolae, Dan L. ;
Cox, Nancy J. ;
Flutre, Timothee ;
Wen, Xiaoquan ;
Stephens, Matthew .
SCIENCE, 2015, 348 (6235) :648-660
[4]   Hypoxia Promotes Prostate Cancer Aggressiveness by Upregulating EMT-Activator Zeb1 and SK3 Channel Expression [J].
Bery, Fanny ;
Figiel, Sandy ;
Kouba, Sana ;
Fontaine, Delphine ;
Gueguinou, Maxime ;
Potier-Cartereau, Marie ;
Vandier, Christophe ;
Guibon, Roseline ;
Bruyere, Franck ;
Fromont, Gaelle ;
Maheo, Karine .
INTERNATIONAL JOURNAL OF MOLECULAR SCIENCES, 2020, 21 (13) :1-10
[5]   Hypoxia and cancer [J].
Brahimi-Horn, M. Christiane ;
Chiche, Johanna ;
Pouyssegur, Jacques .
JOURNAL OF MOLECULAR MEDICINE-JMM, 2007, 85 (12) :1301-1307
[6]  
Cancer Genome Atlas Research Network, 2014, Nature, V511, P543, DOI [10.1038/s41586-018-0228-6, 10.1038/nature13385]
[7]   Estimation of time-dependent area under the ROC curve for long-term risk prediction [J].
Chambless, Lloyd E. ;
Diao, Guoqing .
STATISTICS IN MEDICINE, 2006, 25 (20) :3474-3486
[8]   The Relative Expression of Mig6 and EGFR Is Associated with Resistance to EGFR Kinase Inhibitors [J].
Chang, Xiaofei ;
Izumchenko, Eugene ;
Solis, Luisa M. ;
Kim, Myoung Sook ;
Chatterjee, Aditi ;
Ling, Shizhang ;
Monitto, Constance L. ;
Harari, Paul M. ;
Hidalgo, Manuel ;
Goodman, Steve N. ;
Wistuba, Ignacio I. ;
Bedi, Atul ;
Sidransky, David .
PLOS ONE, 2013, 8 (07)
[9]   Single nucleotide polymorphisms in FOXP1 and RORA of the lymphocyte activation-related pathway affect survival of lung cancer patients [J].
Du, Hailei ;
Mu, Rui ;
Liu, Lihua ;
Liu, Hongliang ;
Luo, Sheng ;
Patz, Edward F., Jr. ;
Glass, Carolyn ;
Su, Li ;
Du, Mulong ;
Christiani, David C. ;
Li, Hecheng ;
Wei, Qingyi .
TRANSLATIONAL LUNG CANCER RESEARCH, 2022, 11 (05) :890-+
[10]   Integrated genomic analyses identify ERRFI1 and TACC3 as glioblastoma-targeted genes [J].
Duncan, Christopher G. ;
Killela, Patrick J. ;
Payne, Cathy A. ;
Lampson, Benjamin ;
Chen, William C. ;
Liu, Jeff ;
Solomon, David ;
Waldman, Todd ;
Towers, Aaron J. ;
Gregory, Simon G. ;
McDonald, Kerrie L. ;
McLendon, Roger E. ;
Bigner, Darell D. ;
Yan, Hai .
ONCOTARGET, 2010, 1 (04) :265-277