Understanding the biological processes of kidney carcinogenesis: an integrative multi-omics approach

被引:0
|
作者
Cortez Cardoso Penha, Ricardo [1 ]
Sexton Oates, Alexandra [1 ]
Senkin, Sergey [1 ]
Park, Hanla A. [1 ]
Atkins, Joshua [2 ]
Holcatova, Ivana [3 ]
Hornakova, Anna [4 ]
Savic, Slavisa [5 ]
Ognjanovic, Simona [6 ]
Swiatkowska, Beata [7 ]
Lissowska, Jolanta [8 ]
Zaridze, David [9 ]
Mukeria, Anush [9 ]
Janout, Vladimir [10 ]
Chabrier, Amelie [1 ]
Cahais, Vincent [11 ]
Cuenin, Cyrille [11 ]
Scelo, Ghislaine [12 ]
Foll, Matthieu [1 ]
Herceg, Zdenko [11 ]
Brennan, Paul [1 ]
Smith-Byrne, Karl [2 ]
Alcala, Nicolas [1 ]
Mckay, James D. [1 ]
机构
[1] World Hlth Org WHO, Genom Epidemiol Branch, Int Agcy Res Canc IARC, F-69366 Lyon, France
[2] Univ Oxford, Canc Epidemiol Unit, Oxford OX3 7LF, England
[3] Charles Univ Prague, Inst Publ Hlth & Prevent Med, Prague, 15000, Czech Republic
[4] Charles Univ Prague, Inst Hyg & Epidemiol, Prague, 12800, Czech Republic
[5] Klinicko Bolnicki Ctr Dr Dragisa Misovic, Dept Urol, Belgrade, Serbia
[6] Int Org Canc Prevent & Res, Belgrade 11070, Serbia
[7] Nofer Inst Occupat Med, Dept Environm Epidemiol, PL-90950 Lodz, Poland
[8] Maria Sklodowska Curie Natl Res Inst Oncol, PL-00001 Warsaw, Poland
[9] NN Blokhin Canc Res Ctr, Moscow 115478, Russia
[10] Palacky Univ Olomouc, Fac Hlth Sci, Olomouc 77900, Czech Republic
[11] World Hlth Org WHO, Int Agcy Res Canc IARC, Epigen & Mech Branch, F-69366 Lyon, France
[12] Observat & Pragmat Res Inst, Midview City 573969, Singapore
基金
美国国家卫生研究院;
关键词
Integrative Multi-omics Analysis; Kidney Cancer; Genomic Epidemiology; Cancer Biology; Tumour Microenvironment; WIDE DNA METHYLATION; CELL CARCINOMA; CANCER; WT1; SIGNATURES; LANDSCAPE; REVEAL; CLOCK; GENES; GSTP1;
D O I
10.1038/s44320-024-00072-3
中图分类号
Q5 [生物化学]; Q7 [分子生物学];
学科分类号
071010 ; 081704 ;
摘要
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. Integrative analysis of multi-omics and epidemiological data implicated ageing, epithelial-mesenchymal transition (EMT), and xenobiotic metabolism as biological mechanisms driving clear cell renal cell carcinoma (ccRCC).Cellular mitotic ageing is a major source of variance between ccRCC tumours, with faster ticking mitotic clocks (epiTOC2, SBS1, and telomere length), genomic instability and and mutations related to tumour progression.There is a relationship between driver mutations, the epigenetic activation of EMT related genes ( and ), tumour immune infiltration, and worse survival outcomes.Epigenetic silencing of , especially in smokers, points to impaired xenobiotic metabolism and increased genotoxic risk in ccRCC tumours.These biological mechanisms were also observed across other cancer types, highlighting broader implications for tumour progression. Integrative analysis of multi-omics and epidemiological data implicated ageing, epithelial-mesenchymal transition (EMT), and xenobiotic metabolism as biological mechanisms driving clear cell renal cell carcinoma (ccRCC).
引用
收藏
页码:1282 / 1302
页数:21
相关论文
共 50 条
  • [1] Multi-Omics and Integrative Approach towards Understanding Salinity Tolerance in Rice: A Review
    Muthuramalingam, Pandiyan
    Jeyasri, Rajendran
    Rakkammal, Kasinathan
    Satish, Lakkakula
    Shamili, Sasanala
    Karthikeyan, Adhimoolam
    Valliammai, Alaguvel
    Priya, Arumugam
    Selvaraj, Anthonymuthu
    Gowri, Pandiyan
    Wu, Qiang-Sheng
    Pandian, Shunmugiah Karutha
    Shin, Hyunsuk
    Chen, Jen-Tsung
    Baskar, Venkidasamy
    Thiruvengadam, Muthu
    Akilan, Manoharan
    Ramesh, Manikandan
    BIOLOGY-BASEL, 2022, 11 (07):
  • [2] Integrative multi-omics approach to targeted therapy for glioblastoma
    Koh, Lynnette
    Novera, Wisna
    Lim, See Wee
    Chong, Yuk Kien
    Pang, Qing You
    Low, David
    Ang, Beng Ti
    Tang, Carol
    PHARMACOLOGICAL RESEARCH, 2022, 182
  • [3] Integrative multi-omics approach to targeted therapy for glioblastoma
    Koh, Lynnette
    Novera, Wisna
    Lim, See Wee
    Chong, Yuk Kien
    Pang, Qing You
    Low, David
    Ang, Beng Ti
    Tang, Carol
    PHARMACOLOGICAL RESEARCH, 2022, 182
  • [4] OMICmAge: An integrative multi-omics approach to quantify biological age with electronic medical records
    Dwaraka, Varun
    Chen, Qingwen
    Carreras-Gallo, Natalia
    Mendez, Kevin
    Chen, Yulu
    PHYSIOLOGY, 2024, 39
  • [5] Integrative Network Fusion: A Multi-Omics Approach in Molecular Profiling
    Chierici, Marco
    Bussola, Nicole
    Marcolini, Alessia
    Francescatto, Margherita
    Zandona, Alessandro
    Trastulla, Lucia
    Agostinelli, Claudio
    Jurman, Giuseppe
    Furlanello, Cesare
    FRONTIERS IN ONCOLOGY, 2020, 10
  • [6] Integrative Multi-Omics Approach for Improving Causal Gene Identification
    King, Austin
    Wu, Chong
    GENETIC EPIDEMIOLOGY, 2025, 49 (01)
  • [7] A multi-omics approach for kidney cancer biomarker discovery
    Zieren, R. C.
    Clark, D. J.
    Dong, L.
    Moreno, L. F.
    Kuczler, M. D.
    Amend, S. R.
    De Reijke, T. M.
    Pienta, K. J.
    EUROPEAN UROLOGY, 2021, 79 : S741 - S741
  • [8] Integrative Multi-Omics in Biomedical Research
    Hill, Michelle M.
    Gerner, Christopher
    BIOMOLECULES, 2021, 11 (10)
  • [9] Integrative Multi-Omics Through Bioinformatics
    Goh, Hoe-Han
    OMICS APPLICATIONS FOR SYSTEMS BIOLOGY, 2018, 1102 : 69 - 80
  • [10] Analyzing the Complex Regulatory Landscape of Hfq - an Integrative, Multi-Omics Approach
    Grenga, Lucia
    Chandra, Govind
    Saalbach, Gerhard
    Galmozzi, Carla V.
    Kramer, Guenter
    Malone, Jacob G.
    FRONTIERS IN MICROBIOLOGY, 2017, 8