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建立基于 AKR1C3 相关基因的蛋白质组学特征预测前列腺癌预后。

Establishing a Proteomics-Based Signature of AKR1C3-Related Genes for Predicting the Prognosis of Prostate Cancer.

机构信息

Department of Pharmacology, College of Basic Medical Sciences, Jilin University, Changchun 130021, China.

出版信息

Int J Mol Sci. 2023 Feb 24;24(5):4513. doi: 10.3390/ijms24054513.

Abstract

Aldo-keto reductase family 1 member C3 (AKR1C3) plays an important role in prostate cancer (PCa) progression, particularly in castration-resistant prostate cancer (CRPC). It is necessary to establish a genetic signature associated with AKR1C3 that can be used to predict the prognosis of PCa patients and provide important information for clinical treatment decisions. AKR1C3-related genes were identified via label-free quantitative proteomics of the AKR1C3-overexpressing LNCaP cell line. A risk model was constructed through the analysis of clinical data, PPI, and Cox-selected risk genes. Cox regression analysis, Kaplan-Meier (K-M) curves, and receiver operating characteristic (ROC) curves were used to verify the accuracy of the model, and two external datasets were used to verify the reliability of the results. Subsequently, the tumor microenvironment and drug sensitivity were explored. Moreover, the roles of AKR1C3 in the progression of PCa were verified in LNCaP cells. MTT, colony formation, and EdU assays were conducted to explore cell proliferation and drug sensitivity to enzalutamide. Migration and invasion abilities were measured using wound-healing and transwell assays, and qPCR was used to assess the expression levels of AR target genes and EMT genes. CDC20, SRSF3, UQCRH, INCENP, TIMM10, TIMM13, POLR2L, and NDUFAB1 were identified as AKR1C3-associated risk genes. These risk genes, established using the prognostic model, can effectively predict the recurrence status, immune microenvironment, and drug sensitivity of PCa. Tumor-infiltrating lymphocytes and several immune checkpoints that promote cancer progression were higher in high-risk groups. Furthermore, there was a close correlation between the sensitivity of PCa patients to bicalutamide and docetaxel and the expression levels of the eight risk genes. Moreover, through in vitro experiments, Western blotting confirmed that AKR1C3 enhanced SRSF3, CDC20, and INCENP expression. We found that PCa cells with a high expression of AKR1C3 have high proliferation ability and high migration ability and were insensitive to enzalutamide. AKR1C3-associated genes had a significant role in the process of PCa, immune responses, and drug sensitivity and offer the potential for a novel model for prognostic prediction in PCa.

摘要

醛酮还原酶家族 1 成员 C3(AKR1C3)在前列腺癌(PCa)的进展中发挥着重要作用,特别是在去势抵抗性前列腺癌(CRPC)中。有必要建立与 AKR1C3 相关的遗传特征,用于预测 PCa 患者的预后,并为临床治疗决策提供重要信息。通过 AKR1C3 过表达 LNCaP 细胞系的无标记定量蛋白质组学鉴定 AKR1C3 相关基因。通过临床数据分析、PPI 和 Cox 选择风险基因构建风险模型。Cox 回归分析、Kaplan-Meier(K-M)曲线和接收者操作特征(ROC)曲线用于验证模型的准确性,并使用两个外部数据集验证结果的可靠性。随后,探索肿瘤微环境和药物敏感性。此外,在 LNCaP 细胞中验证 AKR1C3 在 PCa 进展中的作用。通过 MTT、集落形成和 EdU 测定法研究细胞增殖和对恩扎卢胺的药物敏感性。使用划痕和 Transwell 测定法测量迁移和侵袭能力,并用 qPCR 评估 AR 靶基因和 EMT 基因的表达水平。鉴定出 CDC20、SRSF3、UQCRH、INCENP、TIMM10、TIMM13、POLR2L 和 NDUFAB1 为 AKR1C3 相关风险基因。使用该预后模型建立的这些风险基因可以有效预测 PCa 的复发状态、免疫微环境和药物敏感性。高风险组中肿瘤浸润淋巴细胞和促进癌症进展的几种免疫检查点更高。此外,PCa 患者对比卡鲁胺和多西他赛的敏感性与八个风险基因的表达水平密切相关。此外,通过体外实验,Western blot 证实 AKR1C3 增强了 SRSF3、CDC20 和 INCENP 的表达。我们发现,AKR1C3 高表达的 PCa 细胞具有较高的增殖能力和较高的迁移能力,并且对恩扎卢胺不敏感。AKR1C3 相关基因在 PCa 发生、免疫反应和药物敏感性过程中具有重要作用,为 PCa 的预后预测提供了新的模型潜力。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/21e6/10003753/2b2180c1ec49/ijms-24-04513-g001.jpg

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