Exploring the Effects of Opioid-Related Drugs on the Clinical Outcome of Prostate Cancer Patients Via Integrated Bioinformatics Analysis.

IF 2.4 4区 生物学 Q3 BIOCHEMISTRY & MOLECULAR BIOLOGY
Yunxuan Zhang, Yuenan Liu, Kailei Chen, Qi Miao, Qi Cao, Xiaoping Zhang
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引用次数: 0

Abstract

Opioids are the primary regimens for perioperative analgesia with controversial effects on oncological survival. The underlying mechanism remains unexplored. This study developed survival-related gene co-expression networks based on RNA-seq and clinical characteristics from TCGA cohort. Two survival-related networks were identified, and drug-induced transcriptional profiles were predicted. Immune cell infiltration algorithm, least absolute shrinkage and selection operator (LASSO) regression, and cox proportional models were executed to explore the correlation between opioid-related drugs and prostate cancer patient prognosis. The opioid receptor agonists, represented by tramadol, were evidenced for anti-survival effects on prostate cancer by facilitating the DNA replication and cell cycle, and immune cell infiltration. Conversely, opioid receptor antagonists showed pro-survival effects. A novel prognostic model containing CNIH2, MCCC1, and Gleason scores was established and validated in two independent cohorts. This study revealed opioids' effect on prostate cancer progression, and provided a novel model to predict these regulations in clinical outcomes.

通过综合生物信息学分析探讨阿片类药物对前列腺癌患者临床预后的影响。
阿片类药物是围手术期镇痛的主要方案,但对肿瘤生存的影响存在争议。其潜在的机制尚不清楚。本研究基于RNA-seq和TCGA队列的临床特征建立了生存相关基因共表达网络。确定了两个与生存相关的网络,并预测了药物诱导的转录谱。采用免疫细胞浸润算法、最小绝对收缩和选择算子(LASSO)回归和cox比例模型探讨阿片类药物与前列腺癌患者预后的相关性。以曲马多为代表的阿片受体激动剂通过促进DNA复制和细胞周期,促进免疫细胞浸润,对前列腺癌具有抗存活作用。相反,阿片受体拮抗剂显示出促进生存的作用。一个包含CNIH2、MCCC1和Gleason评分的新型预后模型被建立并在两个独立的队列中得到验证。本研究揭示了阿片类药物对前列腺癌进展的影响,并提供了一种新的模型来预测这些调节在临床结果中的作用。
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来源期刊
Molecular Biotechnology
Molecular Biotechnology 医学-生化与分子生物学
CiteScore
4.10
自引率
3.80%
发文量
165
审稿时长
6 months
期刊介绍: Molecular Biotechnology publishes original research papers on the application of molecular biology to both basic and applied research in the field of biotechnology. Particular areas of interest include the following: stability and expression of cloned gene products, cell transformation, gene cloning systems and the production of recombinant proteins, protein purification and analysis, transgenic species, developmental biology, mutation analysis, the applications of DNA fingerprinting, RNA interference, and PCR technology, microarray technology, proteomics, mass spectrometry, bioinformatics, plant molecular biology, microbial genetics, gene probes and the diagnosis of disease, pharmaceutical and health care products, therapeutic agents, vaccines, gene targeting, gene therapy, stem cell technology and tissue engineering, antisense technology, protein engineering and enzyme technology, monoclonal antibodies, glycobiology and glycomics, and agricultural biotechnology.
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