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用于预测胃癌预后的免疫相关九微小RNA特征

Immune-Related Nine-MicroRNA Signature for Predicting the Prognosis of Gastric Cancer.

作者信息

Xu Jingxuan, Wen Jian, Li Shuangquan, Shen Xian, You Tao, Huang Yingpeng, Xu Chongyong, Zhao Yaping

机构信息

The Second Affiliated Hospital, Wenzhou Medical University, Wenzhou, China.

The First Affiliated Hospital, Wenzhou Medical University, Wenzhou, China.

出版信息

Front Genet. 2021 Jul 5;12:690598. doi: 10.3389/fgene.2021.690598. eCollection 2021.

DOI:10.3389/fgene.2021.690598
PMID:34290743
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC8287335/
Abstract

Recent findings have demonstrated the superiority and utility of microRNAs (miRNAs) as new biomarkers for cancer diagnosis, therapy, and prognosis. In this study, to explore the prognostic value of immune-related miRNAs in gastric cancer (GC), we analyzed the miRNA-expression profiles of 389 patients with GC, using data deposited in The Cancer Genome Atlas database. Using a forward- and backward-variable selection and multivariate Cox regression analyses model, we identified a nine-miRNA signature (the "ImmiRSig," consisting of , , , , , , , , and ) in the training cohort that enabled the division of patients into high- and low-risk groups with significantly different survival rates. The ImmiRSig was successfully validated with an independent test cohort of 193 GC patients. Univariate and multivariate Cox regression analyses indicated that the ImmiRSig would serve as an independent prognostic factor after adjusting for other clinical covariates. Pending further prospective validation, the identified ImmiRSig appears to have significant clinical importance in terms of improving outcome predictions and guiding personalized treatment for patients with GC. Finally, significant associations between the ImmiRSig and the half-maximal inhibitory concentrations of chemotherapeutic agents were observed, suggesting that ImmiRSig may predict the clinical efficacy of chemotherapy.

摘要

最近的研究结果表明,微小RNA(miRNA)作为癌症诊断、治疗和预后的新型生物标志物具有优越性和实用性。在本研究中,为了探索免疫相关miRNA在胃癌(GC)中的预后价值,我们利用存储在癌症基因组图谱数据库中的数据,分析了389例GC患者的miRNA表达谱。使用向前和向后变量选择以及多变量Cox回归分析模型,我们在训练队列中确定了一个由9个miRNA组成的特征(“ImmiRSig”,由 、 、 、 、 、 、 、 和 组成),该特征能够将患者分为生存率显著不同的高风险和低风险组。ImmiRSig在193例GC患者的独立测试队列中得到了成功验证。单变量和多变量Cox回归分析表明,在调整其他临床协变量后,ImmiRSig将作为一个独立的预后因素。在进一步的前瞻性验证之前,所确定的ImmiRSig在改善GC患者的预后预测和指导个性化治疗方面似乎具有重要的临床意义。最后,观察到ImmiRSig与化疗药物的半数最大抑制浓度之间存在显著关联,这表明ImmiRSig可能预测化疗的临床疗效。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/a7bd/8287335/8bc49bf4662c/fgene-12-690598-g006.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/a7bd/8287335/df88a3944a4c/fgene-12-690598-g001.jpg
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https://cdn.ncbi.nlm.nih.gov/pmc/blobs/a7bd/8287335/58a2dc23a678/fgene-12-690598-g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/a7bd/8287335/4ee17d5b4119/fgene-12-690598-g004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/a7bd/8287335/a945e59f3c6f/fgene-12-690598-g005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/a7bd/8287335/8bc49bf4662c/fgene-12-690598-g006.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/a7bd/8287335/df88a3944a4c/fgene-12-690598-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/a7bd/8287335/6fac37cc4e27/fgene-12-690598-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/a7bd/8287335/58a2dc23a678/fgene-12-690598-g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/a7bd/8287335/4ee17d5b4119/fgene-12-690598-g004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/a7bd/8287335/a945e59f3c6f/fgene-12-690598-g005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/a7bd/8287335/8bc49bf4662c/fgene-12-690598-g006.jpg

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