日本血吸虫感染相关肝肝细胞癌的预后模型:通过初步生物实验加强联系。

IF 3.1 2区 医学 Q3 IMMUNOLOGY
Shuyan Sheng, Bangjie Chen, Ruiyao Xu, Yanxun Han, Deshen Mao, Yuerong Chen, Conghan Li, Wenzhuo Su, Xinyang Hu, Qing Zhao, Scott Lowe, Yuting Huang, Wei Shao, Yong Yao
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引用次数: 0

摘要

背景:大量研究表明,日本血吸虫感染与肝肝细胞癌(LIHC)风险增加有关。然而,有关这种感染在 LIHC 致癌过程中的作用的数据却很少。本研究旨在探讨与日本血吸虫感染相关的肝癌发生的潜在机制:方法:通过研究慢性肝病这一中介因素,我们确定了导致日本血吸虫感染和 LIHC 的基因。我们利用加权基因共表达网络分析(WGCNA)和随机生存森林模型选出了 15 个关键差异表达基因(DEGs)。共识聚类显示了两个预后不同的亚组。最小绝对收缩和选择操作符(LASSO)和 Cox 回归确定了六个预后 DEGs,形成了一个日本血吸虫感染相关特征,可用于强预后预测。该特征是一个独立的LIHC风险因素,与临床变量显著相关。包括 BMI1 在内的四个 DEGs 是根据它们在癌症和正常组织中的蛋白表达水平筛选出来的。我们利用日本血吸虫感染的小鼠模型和分子实验证实了 BMI1 在 LIHC 中的作用:结果:我们发现了一系列介导血吸虫病(由日本血吸虫感染引起的寄生虫病)和肝癌发生的 DEGs,并构建了一个合适的预后模型。我们分析了这些 DEGs 调节疾病的机制,并介绍了不同基因型之间预后的差异。最后,我们通过分子生物学实验验证了我们的发现:生物信息学和分子生物学分析证实了血吸虫病与肝癌之间的关系。此外,我们还验证了一种可能与感染和癌变有关的潜在癌蛋白因子的作用。这些发现加深了我们对日本血吸虫感染在肝癌细胞癌变中的作用的理解。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
A prognostic model for Schistosoma japonicum infection-associated liver hepatocellular carcinoma: strengthening the connection through initial biological experiments.

Background: Numerous studies have shown that Schistosoma japonicum infection correlates with an increased risk of liver hepatocellular carcinoma (LIHC). However, data regarding the role of this infection in LIHC oncogenesis are scarce. This study aimed to investigate the potential mechanisms of hepatocarcinogenesis associated with Schistosoma japonicum infection.

Methods: By examining chronic liver disease as a mediator, we identified the genes contributing to Schistosoma japonicum infection and LIHC. We selected 15 key differentially expressed genes (DEGs) using weighted gene co-expression network analysis (WGCNA) and random survival forest models. Consensus clustering revealed two subgroups with distinct prognoses. Least Absolute Shrinkage and Selection Operator (LASSO) and Cox regression identified six prognostic DEGs, forming an Schistosoma japonicum infection-associated signature for strong prognosis prediction. This signature, which is an independent LIHC risk factor, was significantly correlated with clinical variables. Four DEGs, including BMI1, were selected based on their protein expression levels in cancerous and normal tissues. We confirmed BMI1's role in LIHC using Schistosoma japonicum-infected mouse models and molecular experiments.

Results: We identified a series of DEGs that mediate schistosomiasis, the parasitic disease caused by Schistosoma japonicum infection, and hepatocarcinogenesis, and constructed a suitable prognostic model. We analyzed the mechanisms by which these DEGs regulate disease and present the differences in prognosis between the different genotypes. Finally, we verified our findings using molecular biology experiments.

Conclusion: Bioinformatics and molecular biology analyses confirmed a relationship between schistosomiasis and liver hepatocellular cancer. Furthermore, we validated the role of a potential oncoprotein factor that may be associated with infection and carcinogenesis. These findings enhance our understanding of Schistosoma japonicum infection's role in LIHC carcinogenesis.

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来源期刊
Infectious Agents and Cancer
Infectious Agents and Cancer ONCOLOGY-IMMUNOLOGY
CiteScore
5.80
自引率
2.70%
发文量
54
期刊介绍: Infectious Agents and Cancer is an open access, peer-reviewed online journal that encompasses all aspects of basic, clinical, epidemiological and translational research providing an insight into the association between chronic infections and cancer. The journal welcomes submissions in the pathogen-related cancer areas and other related topics, in particular: • HPV and anogenital cancers, as well as head and neck cancers; • EBV and Burkitt lymphoma; • HCV/HBV and hepatocellular carcinoma as well as lymphoproliferative diseases; • HHV8 and Kaposi sarcoma; • HTLV and leukemia; • Cancers in Low- and Middle-income countries. The link between infection and cancer has become well established over the past 50 years, and infection-associated cancer contribute up to 16% of cancers in developed countries and 33% in less developed countries. Preventive vaccines have been developed for only two cancer-causing viruses, highlighting both the opportunity to prevent infection-associated cancers by vaccination and the gaps that remain before vaccines can be developed for other cancer-causing agents. These gaps are due to incomplete understanding of the basic biology, natural history, epidemiology of many of the pathogens that cause cancer, the mechanisms they exploit to cause cancer, and how to interrupt progression to cancer in human populations. Early diagnosis or identification of lesions at high risk of progression represent the current most critical research area of the field supported by recent advances in genomics and proteomics technologies.
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