Mhatre Sharayu, Dutta Diptavo, Iyer Anand, Gholap Shruti, Mishra Aseem, Krishnatreya Manigreeva, George Grace Sarah, Doibale Pravin Narayanrao, Dun Yuzheng, Wang Ziqiao, Jahagirdar Om, Chaturvedi Pankaj, Rajaraman Preetha, Wang Cheng-Ping, Chaturvedi Anil, Kar Siddhatha, Dikshit Rajesh, Chatterjee Nilanjan
Division of Molecular Epidemiology and Population Genomics, Centre for Cancer Epidemiology, Tata Memorial Centre, Navi Mumbai, Maharashtra, India.
Homi Bhabha National Institute (HBNI), Mumbai, Maharashtra, India.
medRxiv. 2025 Apr 17:2025.04.16.25325815. doi: 10.1101/2025.04.16.25325815.
Genome-wide association studies (GWAS) of oral cancers (OC) to date have focused predominantly on European Ancestry (EA) populations. India faces an excess burden of OC, but the most common site of occurrence is the cancer of the buccal mucosa, which is relatively rare in EA populations. We conducted a GWAS of buccal mucosa cancer (BMC) comprising 2,160 BMC cases and 2,325 controls from different geographical locations in India. Single-SNP association tests detected one novel locus (6q27) and one novel signal within the known OC risk locus 5p13.33, at the genome-wide significance level (P-value<5 × 10). We additionally conducted a GWAS of 397 BMC cases and 439 controls from Taiwan and performed multi-ancestry GWAS meta-analysis of OC on 5255 cases and 8748 controls across EA, Indian and Taiwanese populations. We identified a novel risk locus harbouring the tumour suppressor gene through a gene-level analysis of the multi-ancestry GWAS data. Pathway analysis suggested that PD-1 signalling, and Interferon Gamma Signalling may be important in the aetiology of BMC. Within data from the Indian BMC GWAS, we further identified statistically significant evidence of both multiplicative interactions (P-value=0.026) indicating stronger polygenic risk of BMC among individuals with history of chewing tobacco compared to those without. Our study provides insights into the etiologies of BMC in India, highlighting both its similarities and differences with other types of oral cavity cancers, as well as the interactions between polygenic gene score and tobacco chewing.
迄今为止,口腔癌(OC)的全基因组关联研究(GWAS)主要集中在欧洲血统(EA)人群。印度面临着过高的口腔癌负担,但最常见的发病部位是颊黏膜癌,而这在EA人群中相对罕见。我们对颊黏膜癌(BMC)进行了一项GWAS,该研究纳入了来自印度不同地理位置的2160例BMC病例和2325例对照。单核苷酸多态性(SNP)关联测试在全基因组显著性水平(P值<5×10)下,在已知的口腔癌风险位点5p13.33内检测到一个新位点(6q27)和一个新信号。我们还对来自台湾的397例BMC病例和439例对照进行了GWAS,并对欧洲血统、印度和台湾人群中的5255例病例和8748例对照进行了口腔癌的多血统GWAS荟萃分析。通过对多血统GWAS数据的基因水平分析,我们确定了一个含有肿瘤抑制基因的新风险位点。通路分析表明,程序性死亡受体1(PD-1)信号传导和γ干扰素信号传导可能在颊黏膜癌的病因学中起重要作用。在印度颊黏膜癌GWAS的数据中,我们进一步确定了相乘相互作用的统计学显著证据(P值=0.026),表明与无嚼烟史的个体相比,有嚼烟史的个体患颊黏膜癌的多基因风险更强。我们的研究深入了解了印度颊黏膜癌的病因,突出了其与其他类型口腔癌的异同,以及多基因评分与嚼烟之间的相互作用。