早期非小细胞肺癌预后的全基因组关联研究:国际肺癌协会的汇总分析

IF 2.9 3区 医学 Q2 ONCOLOGY
Mei Dong, Abhinav Thakral, Karl Smith- Byrne, Yohan Bosse, Hufeng Zhou, Yi Zhang, Joshua Atkins, Philip Haycock, M Catherine Brown, Kiera Murison, Wim Timens, Don D Sin, Jui Kothari, Aurélie A G Gabriel, David Zaridze, Milan Savic, Jolanta Lissowska, Beata Świątkowska, Vladimir Janout, Ivana Holcatova, Anush Mukeria, Guillermo Fernandez-Tardon, Michael P A Davies, Matthew Triplette, Matthew B Schabath, Angeline S Andrew, Chu Chen, Fiona Taylor, John K Field, Adonina Tardon, Sanjay S Shete, Paul Brennan, Maria Teresa Landi, James McKay, Christopher I Amos, Xihong Lin, David C Christiani, Rayjean J Hung, Geoffrey Liu, Wei Xu
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引用次数: 0

摘要

肺癌是导致癌症死亡的主要原因。为了研究早期非小细胞肺癌(NSCLC)患者预后的遗传决定因素,我们利用国际肺癌协会(ILCCO)的数据,通过两阶段分析进行了首次大规模全基因组关联预后研究。第一阶段包括使用多变量Cox PH模型对来自10个ILCCO参与研究的3428名欧洲血统非小细胞肺癌患者进行全基因组关联研究分析,以确定与总生存相关的遗传变异,并使用癌症基因组图谱(TCGA)验证全基因组显著变异(p值≤5 × 10-8)。第二阶段旨在通过全基因组显著性和暗暗性变异(p值≤1 × 10-5)的功能分析,包括变异-表观遗传功能注释(FAVOR)、CHIP-seq数据、变异基因表达关联和共定位分析,识别因果变异。我们发现了两个显著的变异;其中,9q21.31位点(rs117979484)在全基因组水平上具有显著性(P = 3.67 × 10-8),在TCGA中得到验证(P = 0.03)。发现了3个具有推测表观遗传功能的提示变异体:位于7q11.23的内含子变异体rs149281784 (BCL7B基因)和rs148031766 (POM121基因),它们之间存在中度连锁不平衡;变异rs2471630 (SRCIN1基因);17 q12)。具体来说,rs149281784和rs148031766变体在BCL7B基因和POM121基因的转录激活中具有潜在的调节作用。探索性生存分析在鳞状细胞癌亚组中也发现了一个显著的变异,rs138467404 (GRHL-2基因;8q22.3)在全基因组水平(P = 4.75 × 10-8),并经TCGA验证(P = 0.02)。这些新发现提示了与早期非小细胞肺癌预后相关的潜在新途径。未来的研究可能会证实更多的全基因组暗示变异与肺癌结局有关。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Genome-wide association study of early-stage non-small cell lung cancer prognosis: a pooled analysis in the International Lung Cancer Consortium.

Lung cancer is the leading cause of cancer mortality. To investigate genetic determinants for prognosis among patients diagnosed with early-stage non-small cell lung cancer (NSCLC), we conducted the first large-scale genome-wide association prognostic study using data from the International Lung Cancer Consortium (ILCCO) through a two-phase analysis. Phase 1 includes the discovery of genome-wide association studies analysis using a multivariable Cox PH model on 3428 NSCLC patients of European ancestry from 10 ILCCO participating studies to identify genetic variants associated with overall survival and validation analysis for genome-wide significant variants (P-value ≤5 × 10-8) using the Cancer Genome Atlas (TCGA). Phase 2 aims to identify causal variants using functional analyses of genome-wide significant and suggestive variants (P-value ≤1 × 10-5), including variant-epigenetic functional annotation (FAVOR), CHIP-seq data, variant-gene expression association, and colocalization analysis. We identified two significant variants; of those, a locus at 9q21.31 (rs117979484) was significant at the genome-wide level (P = 3.67 × 10-8) and validated in TCGA (P = 0.03). Three suggestive variants were found to have a putative epigenetic function: intronic variants rs149281784 (BCL7B gene) and rs148031766 (POM121 gene) both located at 7q11.23 and in moderate linkage disequilibrium with each other; and variant rs2471630 (SRCIN1 gene; 17q12). Specifically, variants rs149281784 and rs148031766 have potential regulatory roles in the transcriptional activation of the BCL7B gene and POM121 gene. Exploratory survival analyses in the squamous cell carcinomas subgroup also identified a significant variant, rs138467404 (GRHL-2 gene; 8q22.3) at a genome-wide level (P = 4.75 × 10-8) and validated by TCGA (P = 0.02). These new findings indicate potential novel pathways associated with early-stage NSCLC prognosis. Future research may validate additional genome-wide suggestive variants as being relevant for lung cancer outcomes.

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来源期刊
Carcinogenesis
Carcinogenesis 医学-肿瘤学
CiteScore
9.20
自引率
2.10%
发文量
95
审稿时长
1 months
期刊介绍: Carcinogenesis: Integrative Cancer Research is a multi-disciplinary journal that brings together all the varied aspects of research that will ultimately lead to the prevention of cancer in man. The journal publishes papers that warrant prompt publication in the areas of Biology, Genetics and Epigenetics (including the processes of promotion, progression, signal transduction, apoptosis, genomic instability, growth factors, cell and molecular biology, mutation, DNA repair, genetics, etc.), Cancer Biomarkers and Molecular Epidemiology (including genetic predisposition to cancer, and epidemiology), Inflammation, Microenvironment and Prevention (including molecular dosimetry, chemoprevention, nutrition and cancer, etc.), and Carcinogenesis (including oncogenes and tumor suppressor genes in carcinogenesis, therapy resistance of solid tumors, cancer mouse models, apoptosis and senescence, novel therapeutic targets and cancer drugs).
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