Literature DB >> 34094683

Genetic variants of DOCK2, EPHB1 and VAV2 in the natural killer cell-related pathway are associated with non-small cell lung cancer survival.

Hailei Du1,2,3, Lihua Liu2,3, Hongliang Liu2,3, Sheng Luo4, Edward F Patz2,5, Carolyn Glass2,6, Li Su7, Mulong Du7, David C Christiani7,8, Qingyi Wei2,3,9,10.   

Abstract

Although natural killer (NK) cells are a known major player in anti-tumor immunity, the effect of genetic variation in NK-associated genes on survival in patients with non-small cell lung cancer (NSCLC) remains unknown. Here, in 1,185 with NSCLC cases of a discovery dataset, we evaluated associations of 28,219 single nucleotide polymorphisms (SNPs) in 276 NK-associated genes with their survival. These patients were from the reported genome-wide association study (GWAS) from the Prostate, Lung, Colorectal and Ovarian (PLCO) Cancer Screening Trial. We further validated the findings in an additional 984 cases from the Harvard Lung Cancer Susceptibility (HLCS) Study. We identified three SNPs (i.e., DOCK2 rs261083 G>C, VAV2 rs2519996 C>T and EPHB1 rs36215 A>G) to be independently associated with overall survival (OS) in NSCLC cases with adjusted hazards ratios (HRs) of 1.16 (95% confidence interval [CI] = 1.07-1.26, P = 3.34×10-4), 1.28 (1.12-1.47, P = 4.57×10-4) and 0.75 (0.67-0.83, P = 1.50×10-7), respectively. Additional joint assessment of the unfavorable genotypes of the three SNPs showed significant associations with OS and disease-specific survival of NSCLC cases in the PLCO dataset (P trend<0.0001 and <0.0001, respectively). Moreover, the survival-associated DOCK2 rs261083 C allele had a significant correlation with reduced DOCK2 transcript levels in lung adenocarcinoma (LUAD), while the rs36215 G allele was significantly correlated with reduced EPHB1 transcript levels in lymphoblastoid cell lines in the 1000 Genomes Project. These results revealed that DOCK2 and EPHB1 genetic variants may be prognostic biomarkers of NSCLC survival, likely via transcription regulation of respective genes. AJCR
Copyright © 2021.

Entities:  

Keywords:  Non-small cell lung cancer; genetic variant; natural killer cell; single-nucleotide polymorphism; survival analysis

Year:  2021        PMID: 34094683      PMCID: PMC8167686     

Source DB:  PubMed          Journal:  Am J Cancer Res        ISSN: 2156-6976            Impact factor:   6.166


  42 in total

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Authors:  Yurii S Aulchenko; Stephan Ripke; Aaron Isaacs; Cornelia M van Duijn
Journal:  Bioinformatics       Date:  2007-03-23       Impact factor: 6.937

Review 2.  Killers 2.0: NK cell therapies at the forefront of cancer control.

Authors:  Jonathan J Hodgins; Sarwat T Khan; Maria M Park; Rebecca C Auer; Michele Ardolino
Journal:  J Clin Invest       Date:  2019-09-03       Impact factor: 14.808

3.  Cancer statistics, 2020.

Authors:  Rebecca L Siegel; Kimberly D Miller; Ahmedin Jemal
Journal:  CA Cancer J Clin       Date:  2020-01-08       Impact factor: 508.702

4.  The rho exchange factors vav2 and vav3 control a lung metastasis-specific transcriptional program in breast cancer cells.

Authors:  Carmen Citterio; Mauricio Menacho-Márquez; Ramón García-Escudero; Romain M Larive; Olga Barreiro; Francisco Sánchez-Madrid; Jesús M Paramio; Xosé R Bustelo
Journal:  Sci Signal       Date:  2012-10-02       Impact factor: 8.192

5.  Global cancer statistics 2018: GLOBOCAN estimates of incidence and mortality worldwide for 36 cancers in 185 countries.

Authors:  Freddie Bray; Jacques Ferlay; Isabelle Soerjomataram; Rebecca L Siegel; Lindsey A Torre; Ahmedin Jemal
Journal:  CA Cancer J Clin       Date:  2018-09-12       Impact factor: 508.702

Review 6.  Paradoxes of the EphB1 receptor in malignant brain tumors.

Authors:  Wenqiang Wei; Hongju Wang; Shaoping Ji
Journal:  Cancer Cell Int       Date:  2017-02-08       Impact factor: 5.722

7.  Ligand-independent EphB1 signaling mediates TGF-β-activated CDH2 and promotes lung cancer cell invasion and migration.

Authors:  Lujuan Wang; Qiu Peng; Buqing Sai; Leliang Zheng; Jiaqi Xu; Na Yin; Xiang Feng; Juanjuan Xiang
Journal:  J Cancer       Date:  2020-04-07       Impact factor: 4.207

8.  Next-generation sequencing based mutation profiling reveals heterogeneity of clinical response and resistance to osimertinib.

Authors:  Jun Zhao; Gen Lin; Minglei Zhuo; Zaiwen Fan; Liyun Miao; Likun Chen; Aiping Zeng; Rong Yin; Yangming Ou; Zhihui Shi; Jie Yin; Wen Gao; Jianhua Chen; Xiangdong Zhou; Yong Zeng; Xiang Liu; Huamin Xu; Rongrong Chen; Xuefeng Xia; David P Carbone
Journal:  Lung Cancer       Date:  2019-11-25       Impact factor: 5.705

9.  NCBI's Database of Genotypes and Phenotypes: dbGaP.

Authors:  Kimberly A Tryka; Luning Hao; Anne Sturcke; Yumi Jin; Zhen Y Wang; Lora Ziyabari; Moira Lee; Natalia Popova; Nataliya Sharopova; Masato Kimura; Michael Feolo
Journal:  Nucleic Acids Res       Date:  2013-12-01       Impact factor: 16.971

10.  Comprehensive molecular profiling of lung adenocarcinoma.

Authors: 
Journal:  Nature       Date:  2014-07-09       Impact factor: 49.962

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  1 in total

1.  Association of a Novel DOCK2 Mutation-Related Gene Signature With Immune in Hepatocellular Carcinoma.

Authors:  Yushen Huang; Wen Luo; Siyun Chen; Hongmei Su; Wuchang Zhu; Yuanyuan Wei; Yue Qiu; Yan Long; Yanxia Shi; Jinbin Wei
Journal:  Front Genet       Date:  2022-05-10       Impact factor: 4.772

  1 in total

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