Pan-cancer analysis of the interplay between mutational signatures and cellular signaling

被引:0
作者
Hakobyan, Anna [1 ,2 ,3 ]
Meyenberg, Mathilde [1 ,2 ,3 ]
Vardazaryan, Nelli [4 ]
Hancock, Joel [1 ,2 ,3 ]
Vulliard, Loan [1 ,2 ,3 ,8 ]
Loizou, Joanna I. [1 ,7 ]
Menche, Jorg [1 ,2 ,3 ,5 ,6 ]
机构
[1] Austrian Acad Sci, CeMM Res Ctr Mol Med, Lazarettgasse 14,AKH BT25, A-1090 Vienna, Austria
[2] Vienna Bioctr Campus VBC, Max Perutz Labs, Dr Bohr Gasse 9, A-1030 Vienna, Austria
[3] Univ Vienna, Ctr Mol Biol, Dept Struct & Computat Biol, Dr Bohr Gasse 9, A-1030 Vienna, Austria
[4] Armenian Bioinformat Inst, 3-6 Nelson Stepanyan, Yerevan 0062, Armenia
[5] Univ Vienna, Fac Math, Oskar Morgenstern Pl 1, A-1090 Vienna, Austria
[6] Univ Vienna, Ludwig Boltzmann Inst Network Med, Augasse 2-6, A-1090 Vienna, Austria
[7] Med Univ Vienna, Ctr Canc Res, Comprehens Canc Ctr, Spitalgasse 23,BT86-E 01, A-1090 Vienna, Austria
[8] German Canc Res Ctr, Syst Immunol & Single Cell Biol, Heidelberg, Germany
关键词
DNA-DAMAGE; DEAMINATION;
D O I
10.1016/j.isci.2024.109873
中图分类号
O [数理科学和化学]; P [天文学、地球科学]; Q [生物科学]; N [自然科学总论];
学科分类号
07 ; 0710 ; 09 ;
摘要
Cancer is a multi-faceted disease with intricate relationships between mutagenic processes, alterations in cellular signaling, and the tissue microenvironment. To date, these processes have been largely studied in isolation. A systematic understanding of how they interact and influence each other is lacking. Here, we present a framework for systematically characterizing the interaction between pairs of mutational signatures and between signatures and signaling pathway alterations. We applied this framework to large-scale data from TCGA and PCAWG and identified multiple positive and negative interactions, both cross-tissue and tissue-specific, that provide new insights into the molecular routes observed in tumorigenesis and their respective drivers. This framework allows for a more fine-grained dissection of common and distinct etiology of mutational signatures. We further identified several interactions with both positive and negative impacts on patient survival, demonstrating their clinical relevance and potential for improving personalized cancer care.
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收藏
页数:18
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