Understanding the biological processes of kidney carcinogenesis: an integrative multi-omics approach
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216208%3A11110%2F24%3A10499639" target="_blank" >RIV/00216208:11110/24:10499639 - isvavai.cz</a>
Alternative codes found
RIV/00216208:11130/24:10499639
Result on the web
<a href="https://verso.is.cuni.cz/pub/verso.fpl?fname=obd_publikace_handle&handle=GLmLB5Wrod" target="_blank" >https://verso.is.cuni.cz/pub/verso.fpl?fname=obd_publikace_handle&handle=GLmLB5Wrod</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1038/s44320-024-00072-3" target="_blank" >10.1038/s44320-024-00072-3</a>
Alternative languages
Result language
angličtina
Original language name
Understanding the biological processes of kidney carcinogenesis: an integrative multi-omics approach
Original language description
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).
Czech name
—
Czech description
—
Classification
Type
J<sub>imp</sub> - Article in a specialist periodical, which is included in the Web of Science database
CEP classification
—
OECD FORD branch
30204 - Oncology
Result continuities
Project
—
Continuities
I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace
Others
Publication year
2024
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Name of the periodical
Molecular Systems Biology
ISSN
1744-4292
e-ISSN
—
Volume of the periodical
20
Issue of the periodical within the volume
12
Country of publishing house
GB - UNITED KINGDOM
Number of pages
21
Pages from-to
1282-1302
UT code for WoS article
001363460200001
EID of the result in the Scopus database
2-s2.0-85210411597