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人类微生物组与前列腺癌风险和治疗相关(综述)。

The human microbiome links to prostate cancer risk and treatment (Review).

机构信息

Department of Urology, Beijing Chao‑Yang Hospital, Capital Medical University, Beijing 100020, P.R. China.

Department of Occupational Medicine and Toxicology, Clinical Center for Interstitial Lung Diseases, Beijing Institute of Respiratory Medicine, Beijing Chaoyang Hospital, Capital Medical University, Chaoyang, Beijing 100020, P.R. China.

出版信息

Oncol Rep. 2023 Jun;49(6). doi: 10.3892/or.2023.8560. Epub 2023 May 5.

Abstract

Prostate cancer (Pca) is the second most common cancer type worldwide. Microorganisms colonized in different body parts may affect the development/progression and treatment of Pca through direct or indirect interactions. The composition of microorganisms in different colonization sites and their effects on Pca may differ. In recent years, several studies have focused on the differences in the microbiota of patients with Pca, and dysbiosis may affect the inflammatory status, hormone levels and microbial metabolites leading to Pca progression. However, little is known about the interaction between Pca treatment and microorganisms; for example, how androgen deprivation therapy and androgen receptor axis‑targeting therapeutics for Pca affect microbiota composition and metabolism, and how the microbiota affects treatment response in patients with Pca remain to be understood. The present review explored the current studies on the relevance of microbiota to Pca progression and treatment to provide direction for future microbiome‑Pca research. Due to the complexity of the potential interconnections between Pca and the microbiota, further investigation is critical.

摘要

前列腺癌(Pca)是全球第二大常见癌症类型。定植于不同身体部位的微生物可能通过直接或间接的相互作用影响 Pca 的发生/进展和治疗。不同定植部位的微生物组成及其对 Pca 的影响可能不同。近年来,多项研究集中于 Pca 患者的微生物群差异,菌群失调可能影响炎症状态、激素水平和微生物代谢物,进而导致 Pca 进展。然而,关于 Pca 治疗与微生物之间的相互作用知之甚少;例如,雄激素剥夺疗法和针对 Pca 的雄激素受体轴靶向治疗如何影响微生物群落组成和代谢,以及微生物如何影响 Pca 患者的治疗反应,这些都有待进一步研究。本综述探讨了微生物群与 Pca 进展和治疗的相关性的现有研究,为未来的微生物组-Pca 研究提供了方向。由于 Pca 与微生物群之间的潜在相互联系的复杂性,还需要进一步的研究。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/02d3/10196737/cf0b644a3fc1/or-49-06-08560-g00.jpg

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