Mo Mengqing, Hou Can, Yuan Huangbo, Zhao Renjia, Chen Mingyang, Jiang Yanfeng, Xu Kelin, Zhang Tiejun, Chen Xingdong, Suo Chen
Department of Epidemiology & Ministry of Education Key Laboratory of Public Health Safety, School of Public Health, Fudan University, Shanghai, China.
Department of Outpatient Office, Shanghai Skin Disease Hospital, School of Medicine, Tongji University, Shanghai, China.
PLoS One. 2024 Dec 31;19(12):e0316087. doi: 10.1371/journal.pone.0316087. eCollection 2024.
Studies have reported risk factors for a single-squamous cell carcinoma(Single-SCCs). However, the shared common germline genetic factors and environmental factors have not been well elucidated with respect to augmented risk of pan-squamous cell carcinoma(Pan-SCCs). By integrating a large-scale genotype data of 1,928 Pan-SCCs cases and 7,712 age- and sex-matched controls in the UK Biobank cohort, as well as multiple transcriptome and protein databases, we conducted a multi-omics analysis. Genome-wide association analysis (GWAS) was used to identify genetic susceptibility loci of SCCs. High resolution human leucocyte antigen (HLA) alleles and corresponding amino acid sequences were imputed using SNP2HLA and tested for association with SCCs. Credible risk variants (CRVs) were combined risk SNPs reported in GWAS Catalog and our study, followed by comprehensive bioinformatics analyses. We identified six novel index SNPs in the progression of SCCs, which were also strongly interacted with fresh fruit intake. Moreover, our study systematically characterize the HLA variants and their relationship to SCCs susceptibility. We identified HLA-A*01 and six HLA-A amino acid position were associated independently with SCCs. Credible risk variants were annotated to 469 target genes, further GO and KEGG Pathway Enrichment Analysis showed that SCCs genes were primarily involved in immune-related pathways, espechially regulated by HLA region. The transcriptome analysis showed that there were 270 differentially expressed genes(DEGs), with the upregulated genes were enriched in the regulation of stem cell differentiation, proliferation, development, and maintenance. The PPI Network and Modular Analysis uncovered the Keratin(KRT) genes may serve as a potential marker in SCCs. Our results illustrate the molecular basis of both well-studied and new susceptibility loci of SCCs, providing not only novel insights into the genetic commonality among SCCs but also a set of plausible gene targets for post-GWAS functional experiments.
研究报告了单一鳞状细胞癌(Single-SCCs)的风险因素。然而,关于泛鳞状细胞癌(Pan-SCCs)风险增加的共同种系遗传因素和环境因素尚未得到充分阐明。通过整合英国生物银行队列中1928例Pan-SCCs病例和7712例年龄及性别匹配对照的大规模基因型数据,以及多个转录组和蛋白质数据库,我们进行了多组学分析。全基因组关联分析(GWAS)用于识别SCCs的遗传易感性位点。使用SNP2HLA估算高分辨率人类白细胞抗原(HLA)等位基因及其相应的氨基酸序列,并测试其与SCCs的关联性。可信风险变异(CRVs)是GWAS Catalog和我们研究中报告的组合风险单核苷酸多态性(SNPs),随后进行全面的生物信息学分析。我们在SCCs进展中鉴定出六个新的索引SNPs,它们也与新鲜水果摄入密切相关。此外,我们的研究系统地描述了HLA变异及其与SCCs易感性的关系。我们鉴定出HLA-A*01和六个HLA-A氨基酸位置与SCCs独立相关。可信风险变异被注释到469个靶基因,进一步的基因本体(GO)和京都基因与基因组百科全书(KEGG)通路富集分析表明,SCCs基因主要参与免疫相关通路,特别是受HLA区域调控。转录组分析显示有270个差异表达基因(DEGs),上调基因富集于干细胞分化、增殖、发育和维持的调控。蛋白质-蛋白质相互作用(PPI)网络和模块分析发现角蛋白(KRT)基因可能是SCCs的潜在标志物。我们的结果阐明了SCCs既有研究和新的易感性位点的分子基础,不仅为SCCs之间的遗传共性提供了新见解,也为GWAS后功能实验提供了一组合理的基因靶点。