The interplay between persistent pathogen infections with tumor microenvironment and immunotherapy in cancer

IF 2.9 2区 医学 Q2 ONCOLOGY Cancer Medicine Pub Date : 2024-09-06 DOI:10.1002/cam4.70154
Si Chen, Caihong Yao, Na Tian, Chunying Zhang, Yuemei Chen, Xuting Wang, Yue Jiang, Tonghao Zhang, Tingting Zeng, Yali Song
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Abstract

Background

Chronic infections by pathogenic microorganisms play a significant role in cancer development, disrupting the body's immune system and microenvironment. This interference impairs the body's ability to eliminate these microorganisms promptly, allowing them to persist by evading immune defenses.

Aims

This study aimed to explore how chronic pathogenic infections influence the immune microenvironment, impacting tumorigenesis, cancer progression, and treatment strategies. Additionally, it seeks to investigate the effects of these infections on specific immune checkpoints and identify potential targets for immunotherapy.

Methods

We conducted searches, readings, and detailed analyses of key terms in databases like PubMed and Web of Science to evaluate the impact of chronic infections by pathogenic microorganisms on the immune microenvironment.

Results

Our analysis demonstrates a significant association between persistent chronic infections by pathogenic microorganisms and tumorigenesis. Notable impacts on the immune microenvironment include changes in immune cell function and the regulation of immune checkpoints, offering insights into potential targets for cancer immunotherapy.

Discussion

This study highlights the complex relationship between chronic infections and cancer development, presenting new opportunities for cancer immunotherapy by understanding their effects on the immune microenvironment. The influence of these infections on immune checkpoints emphasizes the crucial role of the immune system in cancer treatment.

Conclusion

Chronic infections by pathogenic microorganisms greatly affect the immune microenvironment, tumorigenesis, and cancer treatment. Unraveling the underlying mechanisms can unveil potential targets for immunotherapy, improving our comprehension of the immune response to cancer and potentially leading to more effective cancer treatments in the future.

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持续性病原体感染与肿瘤微环境和癌症免疫疗法之间的相互作用。
背景:病原微生物的慢性感染在癌症发展中起着重要作用,它干扰了机体的免疫系统和微环境。目的:本研究旨在探讨慢性病原体感染如何影响免疫微环境,从而影响肿瘤发生、癌症进展和治疗策略。此外,它还试图研究这些感染对特定免疫检查点的影响,并确定免疫疗法的潜在靶点:我们对 PubMed 和 Web of Science 等数据库中的关键术语进行了检索、阅读和详细分析,以评估病原微生物慢性感染对免疫微环境的影响:结果:我们的分析表明,病原微生物的持续慢性感染与肿瘤发生之间存在显著关联。对免疫微环境的显著影响包括免疫细胞功能的变化和免疫检查点的调控,为癌症免疫疗法的潜在靶点提供了启示:本研究强调了慢性感染与癌症发展之间的复杂关系,通过了解它们对免疫微环境的影响,为癌症免疫疗法提供了新的机遇。这些感染对免疫检查点的影响强调了免疫系统在癌症治疗中的关键作用:病原微生物的慢性感染对免疫微环境、肿瘤发生和癌症治疗有很大影响。揭示其潜在机制可以发现免疫疗法的潜在靶点,从而提高我们对癌症免疫反应的理解,并有可能在未来找到更有效的癌症治疗方法。
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来源期刊
Cancer Medicine
Cancer Medicine ONCOLOGY-
CiteScore
5.50
自引率
2.50%
发文量
907
审稿时长
19 weeks
期刊介绍: Cancer Medicine is a peer-reviewed, open access, interdisciplinary journal providing rapid publication of research from global biomedical researchers across the cancer sciences. The journal will consider submissions from all oncologic specialties, including, but not limited to, the following areas: Clinical Cancer Research Translational research ∙ clinical trials ∙ chemotherapy ∙ radiation therapy ∙ surgical therapy ∙ clinical observations ∙ clinical guidelines ∙ genetic consultation ∙ ethical considerations Cancer Biology: Molecular biology ∙ cellular biology ∙ molecular genetics ∙ genomics ∙ immunology ∙ epigenetics ∙ metabolic studies ∙ proteomics ∙ cytopathology ∙ carcinogenesis ∙ drug discovery and delivery. Cancer Prevention: Behavioral science ∙ psychosocial studies ∙ screening ∙ nutrition ∙ epidemiology and prevention ∙ community outreach. Bioinformatics: Gene expressions profiles ∙ gene regulation networks ∙ genome bioinformatics ∙ pathwayanalysis ∙ prognostic biomarkers. Cancer Medicine publishes original research articles, systematic reviews, meta-analyses, and research methods papers, along with invited editorials and commentaries. Original research papers must report well-conducted research with conclusions supported by the data presented in the paper.
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