Bigge Jessica, Koebbe Laura L, Giel Ann-Sophie, Bornholdt Dorothea, Buerfent Benedikt, Dasmeh Pouria, Zink Alexander M, Maj Carlo, Schumacher Johannes
Philipps University of Marburg, Center for Human Genetics, Marburg, Germany.
Inventum Genetics GmbH, Mainz, Germany.
BMC Genomics. 2024 Dec 2;25(1):1168. doi: 10.1186/s12864-024-11068-6.
Genomic instability and evading apoptosis are two fundamental hallmarks of cancer and closely linked to DNA damage response (DDR). By analyzing expression quantitative trait loci (eQTL) upon cell stimulation (called exposure eQTL (eQTL)) it is possible to identify context specific gene regulatory variants and connect them to oncological diseases based on genome-wide association studies (GWAS).
We isolate CD8 T cells from 461 healthy donors and stimulate them with high doses of 5 different carcinogens to identify regulatory mechanisms of DNA damage-induced apoptosis. Across all stimuli, we find 5,373 genes to be differentially expressed, with 85% to 99% of these genes being suppressed. While upregulated genes are specific to distinct stimuli, downregulated genes are shared across conditions but exhibit enrichment in biological processes depending on the DNA damage type. Analysis of eQTL reveals 654 regulated genes across conditions. Among them, 47 genes are significant eQTL, representing a fraction of 4% to 5% per stimulus. To unveil disease relevant genetic variants, we compare eQTL and eQTL with GWAS risk variants. We identify gene regulatory variants for KLF2, PIP4K2A, GPR160, RPS18, ARL17B and XBP1 that represent risk variants for oncological diseases.
Our study highlights the relevance of gene regulatory variants influencing DNA damage-induced apoptosis in cancer. The results provide new insights in cellular mechanisms and corresponding genes contributing to inter-individual effects in cancer development.
基因组不稳定和逃避细胞凋亡是癌症的两个基本特征,与DNA损伤反应(DDR)密切相关。通过分析细胞刺激后的表达定量性状位点(eQTL)(称为暴露eQTL(eQTL)),可以识别特定环境下的基因调控变异,并基于全基因组关联研究(GWAS)将它们与肿瘤疾病联系起来。
我们从461名健康供体中分离出CD8 T细胞,并用高剂量的5种不同致癌物刺激它们,以确定DNA损伤诱导的细胞凋亡的调控机制。在所有刺激条件下,我们发现5373个基因存在差异表达,其中85%至99%的基因被抑制。上调的基因对不同的刺激具有特异性,而下调的基因在不同条件下是共享的,但根据DNA损伤类型在生物学过程中表现出富集。对eQTL的分析揭示了不同条件下654个受调控的基因。其中,47个基因是显著的eQTL,每种刺激占比4%至5%。为了揭示与疾病相关的遗传变异,我们将eQTL和eQTL与GWAS风险变异进行比较。我们确定了KLF2、PIP4K2A、GPR160、RPS18、ARL17B和XBP1的基因调控变异,这些变异代表了肿瘤疾病的风险变异。
我们的研究强调了影响癌症中DNA损伤诱导的细胞凋亡的基因调控变异的相关性。这些结果为细胞机制和相应基因提供了新的见解,有助于解释癌症发展中的个体间效应。