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用于构建预测胃癌预后新特征的免疫相关长链非编码RNA对

Immune-Related lncRNAs Pairs to Construct a Novel Signature for Predicting Prognosis in Gastric Cancer.

作者信息

Bao Tianshang, Wang Zeyu, Xu Jia

机构信息

Department of Gastrointestinal Surgery, Renji Hospital, School of Medicine, Shanghai Jiao Tong University, Shanghai, China.

出版信息

Front Surg. 2022 Mar 23;9:807778. doi: 10.3389/fsurg.2022.807778. eCollection 2022.

DOI:10.3389/fsurg.2022.807778
PMID:35402492
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC8985853/
Abstract

BACKGROUND

Immune-related long non-coding RNAs (irlncRNAs) appear valuable in predicting prognosis in patients with cancer. In this study, we used a fresh modeling algorithm to construct irlncRNAs signature and then assessed its predictive value for prognosis, tumor immune infiltration, and chemotherapy efficacy in gastric cancer (GC) patients.

MATERIALS AND METHODS

The raw transcriptome data were extracted from the Cancer Genome Atlas (TCGA). Patients were randomly divided into the training and testing cohort. irlncRNAs were identified through co-expression analysis, after which differentially expressed irlncRNA (DEirlncRNA) pairs were identified. Next, we developed a model to distinguish between high- or low-risk groups in GC patients through univariate and LASSO regression analyses. A ROC curve was used to verify this model. After subgrouping patients according to the median risk score, we investigated the connection between the risk score of GC and clinicopathological characteristics. Functional enrichment analysis was also performed.

RESULTS

We find that the results indicate that immune-related lncRNA signaling has essential value in predicting prognosis, and it may be potential to measure the Efficacy for immunotherapy. This feature may be a guide to the selection of GC immunotherapy.

CONCLUSION

Our data revealed that immune-related lncRNA signaling had essential value in predicting prognosis, and it may be potentially used to measure the efficacy for immunotherapy. This feature may also be used to guide the selection of GC immunotherapy.

摘要

背景

免疫相关长链非编码RNA（irlncRNAs）在预测癌症患者预后方面似乎具有重要价值。在本研究中，我们使用一种新的建模算法构建irlncRNAs特征，然后评估其对胃癌（GC）患者预后、肿瘤免疫浸润和化疗疗效的预测价值。

材料与方法

从癌症基因组图谱（TCGA）中提取原始转录组数据。患者被随机分为训练队列和测试队列。通过共表达分析鉴定irlncRNAs，之后鉴定差异表达的irlncRNA（DEirlncRNA）对。接下来，我们通过单变量和LASSO回归分析建立了一个区分GC患者高风险组和低风险组的模型。使用ROC曲线验证该模型。根据中位风险评分对患者进行亚组分析后，我们研究了GC风险评分与临床病理特征之间的关系。还进行了功能富集分析。

结果

我们发现结果表明免疫相关lncRNA信号在预测预后方面具有重要价值，并且可能有潜力衡量免疫治疗的疗效。这一特征可能是GC免疫治疗选择的一个指导。

结论

我们的数据显示免疫相关lncRNA信号在预测预后方面具有重要价值，并且可能潜在地用于衡量免疫治疗的疗效。这一特征也可用于指导GC免疫治疗的选择。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/0e33/8985853/50429f6ad9cf/fsurg-09-807778-g0009.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/0e33/8985853/8dc430e91a80/fsurg-09-807778-g0001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/0e33/8985853/e43399b6e638/fsurg-09-807778-g0002.jpg
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https://cdn.ncbi.nlm.nih.gov/pmc/blobs/0e33/8985853/1b4ecc0011b3/fsurg-09-807778-g0005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/0e33/8985853/b3d92eb9a7df/fsurg-09-807778-g0006.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/0e33/8985853/77cedcca9832/fsurg-09-807778-g0007.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/0e33/8985853/1aa6b2997ef7/fsurg-09-807778-g0008.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/0e33/8985853/50429f6ad9cf/fsurg-09-807778-g0009.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/0e33/8985853/8dc430e91a80/fsurg-09-807778-g0001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/0e33/8985853/e43399b6e638/fsurg-09-807778-g0002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/0e33/8985853/d79c7e224842/fsurg-09-807778-g0003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/0e33/8985853/a2f1f2eae5d0/fsurg-09-807778-g0004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/0e33/8985853/1b4ecc0011b3/fsurg-09-807778-g0005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/0e33/8985853/b3d92eb9a7df/fsurg-09-807778-g0006.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/0e33/8985853/77cedcca9832/fsurg-09-807778-g0007.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/0e33/8985853/1aa6b2997ef7/fsurg-09-807778-g0008.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/0e33/8985853/50429f6ad9cf/fsurg-09-807778-g0009.jpg

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