Suppr超能文献

人类微生物组与前列腺癌的发生发展:预防和治疗的最新研究进展。

Human microbiome and prostate cancer development: current insights into the prevention and treatment.

机构信息

Uro-Oncology Research Center, Tehran University of Medical Sciences, Tehran, Iran.

出版信息

Front Med. 2021 Feb;15(1):11-32. doi: 10.1007/s11684-019-0731-7. Epub 2020 Jun 30.

Abstract

The huge communities of microorganisms that symbiotically colonize humans are recognized as significant players in health and disease. The human microbiome may influence prostate cancer development. To date, several studies have focused on the effect of prostate infections as well as the composition of the human microbiome in relation to prostate cancer risk. Current studies suggest that the microbiota of men with prostate cancer significantly differs from that of healthy men, demonstrating that certain bacteria could be associated with cancer development as well as altered responses to treatment. In healthy individuals, the microbiome plays a crucial role in the maintenance of homeostasis of body metabolism. Dysbiosis may contribute to the emergence of health problems, including malignancy through affecting systemic immune responses and creating systemic inflammation, and changing serum hormone levels. In this review, we discuss recent data about how the microbes colonizing different parts of the human body including urinary tract, gastrointestinal tract, oral cavity, and skin might affect the risk of developing prostate cancer. Furthermore, we discuss strategies to target the microbiome for risk assessment, prevention, and treatment of prostate cancer.

摘要

定殖于人体的庞大微生物群落被认为是健康和疾病的重要参与者。人类微生物组可能会影响前列腺癌的发展。迄今为止,已有多项研究集中在前列腺感染以及与前列腺癌风险相关的人类微生物组组成上。目前的研究表明,患有前列腺癌的男性的微生物组与健康男性的微生物组有显著差异,表明某些细菌可能与癌症的发展以及对治疗的反应改变有关。在健康个体中,微生物组在维持身体代谢的体内平衡中起着至关重要的作用。通过影响全身免疫反应和产生全身炎症,以及改变血清激素水平,生态失调可能会导致健康问题的出现,包括恶性肿瘤。在这篇综述中,我们讨论了最近的数据,这些数据表明,定植于人体不同部位(包括尿路、胃肠道、口腔和皮肤)的微生物如何影响前列腺癌的发病风险。此外,我们还讨论了针对微生物组进行风险评估、预防和治疗前列腺癌的策略。

文献AI研究员

20分钟写一篇综述,助力文献阅读效率提升50倍。

立即体验

用中文搜PubMed

大模型驱动的PubMed中文搜索引擎

马上搜索

文档翻译

学术文献翻译模型,支持多种主流文档格式。

立即体验