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免疫反应决定前列腺癌的预后:免疫治疗的意义。

Immune response drives outcomes in prostate cancer: implications for immunotherapy.

机构信息

Department of Urology, The First Affiliated Hospital of Anhui Medical University, Hefei, China.

Institute of Urology & Anhui Province Key Laboratory of Genitourinary Diseases, Anhui Medical University, Hefei, China.

出版信息

Mol Oncol. 2021 May;15(5):1358-1375. doi: 10.1002/1878-0261.12887. Epub 2020 Dec 29.

Abstract

The heterogeneity of the immune microenvironment leads to different responses in immune checkpoint blockade therapy. We aimed to propose a robust molecular classification system to investigate the relevance of the immune microenvironment subtype and prognosis of prostate cancer patients, as well as the therapeutic response to immune checkpoint blockade therapy. A total of 1,557 prostate cancer patients were enrolled, including 69 real-world samples from our institute (titled the AHMU-PC cohort). The non-negative matrix factorization algorithm was employed to virtually microdissect patients. The immune enrichment was characterized by a high enrichment of T cell-, B cell-, NK cell-, and macrophage-associated signatures, by which patients were subclassified into nonimmune and immune classes. Subsequently, the immune class was dichotomized into immune-activated and immune-suppressed subtypes based on the stromal signature, represented by the activation of WNT/TGF-β, TGF-β1, and C-ECM signatures. Approximately 14.9% to 24.3% of patients belonged to the immune-activated subtype, which was associated with favorable recurrence-free survival outcomes. In addition, patients in the immune-activated subtype were predicted to benefit more from anti-PD-1/PD-L1 therapy. In conclusion, our study identifies a novel immune molecular classifier that is closely related to clinical prognosis and provides novel insights into immunotherapeutic strategies for prostate cancer patients.

摘要

免疫微环境的异质性导致免疫检查点阻断治疗的反应不同。我们旨在提出一个稳健的分子分类系统,以研究前列腺癌患者免疫微环境亚型和预后的相关性,以及对免疫检查点阻断治疗的反应。共纳入 1557 例前列腺癌患者,包括来自我们研究所的 69 例真实世界样本(命名为 AHMU-PC 队列)。非负矩阵分解算法被用于虚拟地对患者进行微观解剖。免疫富集的特征是 T 细胞、B 细胞、NK 细胞和巨噬细胞相关特征的高富集,通过这些特征将患者分为非免疫和免疫两类。随后,根据基质特征将免疫类进一步分为免疫激活和免疫抑制亚型,基质特征由 WNT/TGF-β、TGF-β1 和 C-ECM 特征的激活来代表。约 14.9%至 24.3%的患者属于免疫激活亚型,与无复发生存结局良好相关。此外,预测免疫激活亚型的患者更能从抗 PD-1/PD-L1 治疗中获益。总之,我们的研究确定了一个与临床预后密切相关的新的免疫分子分类器,并为前列腺癌患者的免疫治疗策略提供了新的见解。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/4918/8096785/8c2fe844b43e/MOL2-15-1358-g002.jpg

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