Cortez Cardoso Penha Ricardo, Sexton Oates Alexandra, Senkin Sergey, Park Hanla A, Atkins Joshua, Holcatova Ivana, Hornakova Anna, Savic Slavisa, Ognjanovic Simona, Świątkowska Beata, Lissowska Jolanta, Zaridze David, Mukeria Anush, Janout Vladimir, Chabrier Amelie, Cahais Vincent, Cuenin Cyrille, Scelo Ghislaine, Foll Matthieu, Herceg Zdenko, Brennan Paul, Smith-Byrne Karl, Alcala Nicolas, Mckay James D
Genomic Epidemiology branch, International Agency for Research on Cancer/World Health Organization (IARC/WHO), Lyon, 69366, France.
Cancer Epidemiology Unit, University of Oxford, Oxford, Oxford, OX3 7LF, UK.
Mol Syst Biol. 2024 Dec;20(12):1282-1302. doi: 10.1038/s44320-024-00072-3. Epub 2024 Nov 26.
Biological mechanisms related to cancer development can leave distinct molecular fingerprints in tumours. By leveraging multi-omics and epidemiological information, we can unveil relationships between carcinogenesis processes that would otherwise remain hidden. Our integrative analysis of DNA methylome, transcriptome, and somatic mutation profiles of kidney tumours linked ageing, epithelial-mesenchymal transition (EMT), and xenobiotic metabolism to kidney carcinogenesis. Ageing process was represented by associations with cellular mitotic clocks such as epiTOC2, SBS1, telomere length, and PBRM1 and SETD2 mutations, which ticked faster as tumours progressed. We identified a relationship between BAP1 driver mutations and the epigenetic upregulation of EMT genes (IL20RB and WT1), correlating with increased tumour immune infiltration, advanced stage, and poorer patient survival. We also observed an interaction between epigenetic silencing of the xenobiotic metabolism gene GSTP1 and tobacco use, suggesting a link to genotoxic effects and impaired xenobiotic metabolism. Our pan-cancer analysis showed these relationships in other tumour types. Our study enhances the understanding of kidney carcinogenesis and its relation to risk factors and progression, with implications for other tumour types.
与癌症发展相关的生物学机制可在肿瘤中留下独特的分子印记。通过利用多组学和流行病学信息,我们能够揭示致癌过程之间原本隐藏的关系。我们对肾肿瘤的DNA甲基化组、转录组和体细胞突变谱进行综合分析,将衰老、上皮-间质转化(EMT)和外源性物质代谢与肾癌发生联系起来。衰老过程表现为与细胞有丝分裂时钟相关联,如epiTOC2、SBS1、端粒长度以及PBRM1和SETD2突变,随着肿瘤进展,这些时钟走得更快。我们发现BAP1驱动突变与EMT基因(IL20RB和WT1)的表观遗传上调之间存在关联,这与肿瘤免疫浸润增加、晚期阶段以及患者较差的生存率相关。我们还观察到外源性物质代谢基因GSTP1的表观遗传沉默与烟草使用之间存在相互作用,表明其与基因毒性效应和外源性物质代谢受损有关。我们的泛癌分析在其他肿瘤类型中也显示出这些关系。我们的研究增进了对肾癌发生及其与风险因素和进展关系的理解,对其他肿瘤类型也有启示意义。