Disease aetiology and progression shape the inter-patient multi-omics profile of clear cell renal carcinoma

Author:

Penha Ricardo Cortez Cardoso1,Sexton-Oates Alexandra2,Senkin Sergey3ORCID,Park Hanla A.1ORCID,Atkins Joshua4ORCID,Holcatova Ivana5ORCID,Hornakova Anna6ORCID,Savic Slavisa7ORCID,Ognjanovic Simona8,Świątkowska Beata9,Lissowska Jolanta10ORCID,Zaridze David11,Mukeria Anush12,Janout Vladimir13,Chabrier Amelie1,Cahais Vincent14,Cuenin Cyrille15,Scelo Ghislaine16,Foll Matthieu1ORCID,Herceg Zdenko1,Brennan Paul3,Smith-Byrne Karl17,Alcala Nicolas18ORCID,McKay James D.19

Affiliation:

1. International Agency for Research on Cancer

2. Rare Cancers Genomics Team (RCG), Genomic Epidemiology Branch (GEM), International Agency for Research on Cancer/World Health Organisation (IARC/WHO)

3. International Agency for Research on Cancer (IARC/WHO)

4. University of Oxford

5. Charles University

6. 1st Faculty of Medicine, Charles University

7. University Hospital

8. International Organization for Cancer Prevention and Research, Belgrade, Serbia

9. Nofer Institute of Occupational Medicine

10. Maria Skłodowska-Curie Memorial Cancer Center and Institute of Oncology

11. N.N. Blokhin National Medical Research Centre of Oncology

12. Department of Epidemiology and Prevention, Russian N.N.Blokhin Cancer Research Centre, Moscow, Russian Federation

13. Faculty of Health Sciences, Palacky University, Olomouc, Czech Republic

14. IARC

15. EpiGenomics and Mechanisms Branch (EGM); International Agency for Research on Cancer/World Health Organisation (IARC/WHO)

16. IARC/WHO

17. Cancer Epidemiology Unit, University of Oxford

18. International Agency For Research On Cancer / World Health Organization

19. International Agency for Research on Cancer, World Health Organization, Lyon, France

Abstract

Abstract Endogenous and exogenous processes are associated with distinctive molecular marks in somatic tissues, including human tumours. Here, we used integrative multi-omics analyses to infer sources of inter-patient somatic variation within clear cell renal cell carcinomas (ccRCC) and used them to explore how the disease aetiology and progression are reflected in the tumour DNA methylome, transcriptome, and somatic mutation profile. The main source of inter-patient variation within ccRCC tumours was associated with ageing, particularly cellular mitotic age estimated by DNA methylation (epiTOC2), clock-like DNA mutational signatures (SBS1/ID1), and telomere attrition, independent to chronological age. This component was associated with PBRM1 and SETD2 somatic cancer driver mutations, genome instability, tumor stage, grade, and ccRCC patient survival. Pan-cancer analysis supported the similar role of this molecular component in other cancer types. The ccRCC tumour microenvironment was another source of inter-patient variation, including a component associated with BAP1 driver mutations, epigenetic regulation of epithelial-mesenchymal transition genes (i.e., IL20RB, WT1) and patient survival. An additional source of ccRCC inter-patient variation was linked to the epigenetic regulation of the xenobiotic metabolism gene GSTP1. This molecular component was associated with tobacco usage and tobacco-related genomic features, implying a relationship with tobacco-related carcinogenesis, but also present in tumours of never-smoking patients, potentially implicating it in other genotoxic effects. By considering how the tumour DNA methylome, transcriptome, and somatic mutation profile vary across patients, we provide novel insights into the endogenous and exogenous processes acting within ccRCC tumours and their relation to the disease aetiology and progression.

Publisher

Research Square Platform LLC

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