DNA病毒在人类癌症中的作用。

IF 2.4 Q2 MATHEMATICAL & COMPUTATIONAL BIOLOGY
Cancer Informatics Pub Date : 2023-06-13 eCollection Date: 2023-01-01 DOI:10.1177/11769351231154186
Zohreh-Al-Sadat Ghoreshi, Hamid Reza Molaei, Nasir Arefinia
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引用次数: 2

摘要

这篇综述讨论了人类感染相关癌症的可能参与,病毒感染占人类癌症总病例的15%至20%。DNA病毒编码的蛋白质与宿主细胞信号通路相互作用,并控制增殖、细胞死亡和基因组完整性已知病毒癌蛋白结合细胞双奎酸盐(DUBs),如细胞周期蛋白增多症肿瘤抑制因子、泛素特异性蛋白酶7、11、15和20,和A-20以改善它们的细胞内稳定性和细胞信号通路,并最终转化。人乳头瘤病毒(宫颈癌、癌症和癌症);人类多瘤病毒(间皮瘤、脑肿瘤);EB病毒(B细胞淋巴增生性疾病和鼻咽癌);卡波西肉瘤疱疹病毒(卡波西肉瘤和原发性渗出性淋巴瘤);乙型肝炎(肝细胞癌(HCC))在全世界引起高达20%的恶性肿瘤。
本文章由计算机程序翻译,如有差异,请以英文原文为准。

The Role of DNA Viruses in Human Cancer.

The Role of DNA Viruses in Human Cancer.

The Role of DNA Viruses in Human Cancer.

The Role of DNA Viruses in Human Cancer.

This review discusses the possible involvement of infections-associated cancers in humans, with virus infections contributing 15% to 20% of total cancer cases in humans. DNA virus encoded proteins interact with host cellular signaling pathways and control proliferation, cell death and genomic integrity viral oncoproteins are known to bind cellular Deubiquitinates (DUBs) such as cyclindromatosis tumor suppressor, ubiquitin-specific proteases 7, 11, 15 and 20, and A-20 to improve their intracellular stability and cellular signaling pathways and finally transformation. Human papillomaviruses (cervical carcinoma, oral cancer and laryngeal cancer); human polyomaviruses (mesotheliomas, brain tumors); Epstein-Barr virus (B-cell lymphoproliferative diseases and nasopharyngeal carcinoma); Kaposi's Sarcoma Herpesvirus (Kaposi's Sarcoma and primary effusion lymphomas); hepatitis B (hepatocellular carcinoma (HCC)) cause up to 20% of malignancies around the world.

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来源期刊
Cancer Informatics
Cancer Informatics Medicine-Oncology
CiteScore
3.00
自引率
5.00%
发文量
30
审稿时长
8 weeks
期刊介绍: The field of cancer research relies on advances in many other disciplines, including omics technology, mass spectrometry, radio imaging, computer science, and biostatistics. Cancer Informatics provides open access to peer-reviewed high-quality manuscripts reporting bioinformatics analysis of molecular genetics and/or clinical data pertaining to cancer, emphasizing the use of machine learning, artificial intelligence, statistical algorithms, advanced imaging techniques, data visualization, and high-throughput technologies. As the leading journal dedicated exclusively to the report of the use of computational methods in cancer research and practice, Cancer Informatics leverages methodological improvements in systems biology, genomics, proteomics, metabolomics, and molecular biochemistry into the fields of cancer detection, treatment, classification, risk-prediction, prevention, outcome, and modeling.
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