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Zhang Y, Ji L, Wen H, Chu Y, Xing W, Tian G, Yao Y, Yang J. Pan-cancer analyses reveal the stratification of patient prognosis by viral composition in tumor tissues. Comput Biol Med 2023; 167:107586. [PMID: 37907029 DOI: 10.1016/j.compbiomed.2023.107586] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/09/2023] [Revised: 09/20/2023] [Accepted: 10/15/2023] [Indexed: 11/02/2023]
Abstract
The associations between cancer and bacteria/fungi have been extensively studied, but the implications of cancer-associated viruses have not been thoroughly examined. In this study, we comprehensively characterized the cancer virome of tissue samples across 31 cancer types, as well as blood samples from 23 cancer types. Our findings demonstrated the presence of viral DNA at low abundances in both tissue and blood across major human cancers, with significant differences in viral community composition observed among various cancer types. Furthermore, Cox regression analyses conducted on four cancers, including Head and Neck squamous cell carcinoma (HNSC), Kidney renal clear cell carcinoma (KIRC), Stomach adenocarcinoma (STAD), and Uterine Corpus Endometrial Carcinoma (UCEC), revealed strong correlation between viral composition/abundance in tissues and patient survival. Additionally, we identified virus-associated prognostic signatures (VAPS) for these four cancers, and discerned differences in the interplay between VAPS and dominant bacteria in tissues among patients with varying survival risks. Notably, clinically relevant analyses revealed prognostic capacities of the VAPS in these four cancers. Taken together, our study provides novel insights into the role of viruses in tissue in the prognosis of multiple cancers and offers guidance on the use of tissue viruses to stratify prognosis for patients with cancer.
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Affiliation(s)
- Yumeng Zhang
- School of Mathematics and Statistics, Hainan Normal University, Haikou, 571158, China; Geneis Beijing Co., Ltd., Beijing, 100102, China
| | - Lei Ji
- Geneis Beijing Co., Ltd., Beijing, 100102, China; Qingdao Geneis Institute of Big Data Mining and Precision Medicine, Qingdao, 266000, China
| | - Huakai Wen
- School of Mathematics and Statistics, Hainan Normal University, Haikou, 571158, China
| | - Yuwen Chu
- Geneis Beijing Co., Ltd., Beijing, 100102, China; Qingdao Geneis Institute of Big Data Mining and Precision Medicine, Qingdao, 266000, China; School of Electrical & Information Engineering, Anhui University of Technology, Anhui, 243002, China
| | - Weipeng Xing
- Geneis Beijing Co., Ltd., Beijing, 100102, China; Qingdao Geneis Institute of Big Data Mining and Precision Medicine, Qingdao, 266000, China; School of Electrical & Information Engineering, Anhui University of Technology, Anhui, 243002, China
| | - Geng Tian
- Geneis Beijing Co., Ltd., Beijing, 100102, China; Qingdao Geneis Institute of Big Data Mining and Precision Medicine, Qingdao, 266000, China
| | - Yuhua Yao
- School of Mathematics and Statistics, Hainan Normal University, Haikou, 571158, China; Key Laboratory of Computational Science and Application of Hainan Province, Haikou, China; Key Laboratory of Data Science and Intelligence Education, Hainan Normal University, Ministry of Education, Haikou, China.
| | - Jialiang Yang
- Geneis Beijing Co., Ltd., Beijing, 100102, China; Qingdao Geneis Institute of Big Data Mining and Precision Medicine, Qingdao, 266000, China.
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Kitsou K, Iliopoulou M, Spoulou V, Lagiou P, Magiorkinis G. Viral Causality of Human Cancer and Potential Roles of Human Endogenous Retroviruses in the Multi-Omics Era: An Evolutionary Epidemiology Review. Front Oncol 2021; 11:687631. [PMID: 34778024 PMCID: PMC8586426 DOI: 10.3389/fonc.2021.687631] [Citation(s) in RCA: 10] [Impact Index Per Article: 3.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/29/2021] [Accepted: 10/12/2021] [Indexed: 12/20/2022] Open
Abstract
Being responsible for almost 12% of cancers worldwide, viruses are among the oldest known and most prevalent oncogenic agents. The quality of the evidence for the in vivo tumorigenic potential of microorganisms varies, thus accordingly, viruses were classified in 4 evidence-based categories by the International Agency for Research on Cancer in 2009. Since then, our understanding of the role of viruses in cancer has significantly improved, firstly due to the emergence of high throughput sequencing technologies that allowed the “brute-force” recovery of unknown viral genomes. At the same time, multi-omics approaches unravelled novel virus-host interactions in stem-cell biology. We now know that viral elements, either exogenous or endogenous, have multiple sometimes conflicting roles in human pathophysiology and the development of cancer. Here we integrate emerging evidence on viral causality in human cancer from basic mechanisms to clinical studies. We analyze viral tumorigenesis under the scope of deep-in-time human-virus evolutionary relationships and critically comment on the evidence through the eyes of clinical epidemiology, firstly by reviewing recognized oncoviruses and their mechanisms of inducing tumorigenesis, and then by examining the potential role of integrated viruses in our genome in the process of carcinogenesis.
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Affiliation(s)
- Konstantina Kitsou
- Department of Hygiene, Epidemiology and Medical Statistics, School of Medicine, National and Kapodistrian University of Athens, Athens, Greece.,Immunobiology and Vaccinology Research Laboratory, First Department of Peadiatrics, "Aghia Sophia" Children's Hospital, School of Medicine, National and Kapodistrian University of Athens, Athens, Greece
| | - Maria Iliopoulou
- Department of Hygiene, Epidemiology and Medical Statistics, School of Medicine, National and Kapodistrian University of Athens, Athens, Greece
| | - Vana Spoulou
- Immunobiology and Vaccinology Research Laboratory, First Department of Peadiatrics, "Aghia Sophia" Children's Hospital, School of Medicine, National and Kapodistrian University of Athens, Athens, Greece
| | - Pagona Lagiou
- Department of Hygiene, Epidemiology and Medical Statistics, School of Medicine, National and Kapodistrian University of Athens, Athens, Greece
| | - Gkikas Magiorkinis
- Department of Hygiene, Epidemiology and Medical Statistics, School of Medicine, National and Kapodistrian University of Athens, Athens, Greece
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