Disulfidptosis-related long non-coding RNA signature predicts the prognosis, tumor microenvironment, immunotherapy, and antitumor drug options in colon adenocarcinoma.

IF 6.1 2区 生物学 Q1 BIOCHEMISTRY & MOLECULAR BIOLOGY Apoptosis Pub Date : 2024-08-08 DOI:10.1007/s10495-024-02011-x
Kang Wang, Jing Yu, Qihuan Xu, Yuanhong Peng, Haibin Li, Yan Lu, Manzhao Ouyang
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Abstract

This study aims to investigate the role and prognostic significance of long non-coding RNAs (lncRNAs) associated with disulfidptosis in colon adenocarcinoma (COAD). The TCGA database's clinical data and transcriptome profiles were employed. Analysis of previous studies identified 10 disulfidptosis-related genes (DRGs). We used these genes to construct a signature that could independently and accurately predict the prognosis of patients with COAD. The Kaplan-Meier (K-M) curve analysis showed that the lower-risk group had a better prognosis. With the help of multivariate Cox regression analysis, the risk score produced from the patient's signature might independently predict the outcomes. Utilizing a nomogram, the receiver operating characteristic (ROC) curve, and principal component analysis (PCA), the signature's predictive ability was also confirmed. It's interesting to note that immunotherapy, especially PD-1 immune checkpoint suppression, was more likely to benefit low-risk patients. The IC50 levels for certain anticancer agents were lower in the high-risk group. Finally, qRT-PCR analyses in colon cancer cell lines revealed elevated levels of lncRNAs CASC9, ZEB1-AS1, ATP2A1-AS1, SNHG7, AL683813.1, and AP003555.1, and reduced levels of FAM160A1-DT and AC112220.2, compared to normal cell lines. This signature offers insights into prognosis, tumor microenvironment, and options for immunotherapy and antitumor drugs in patients with COAD.

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二硫化相关长非编码 RNA 特征可预测结肠腺癌的预后、肿瘤微环境、免疫疗法和抗肿瘤药物选择。
本研究旨在探讨与结肠腺癌(COAD)二硫化相关的长非编码RNA(lncRNA)的作用和预后意义。研究采用了TCGA数据库的临床数据和转录组图谱。对以往研究的分析确定了 10 个二硫化相关基因(DRGs)。我们利用这些基因构建了一个特征,该特征可以独立、准确地预测 COAD 患者的预后。卡普兰-梅耶(K-M)曲线分析表明,低风险组的预后较好。在多变量 Cox 回归分析的帮助下,根据患者特征得出的风险评分可以独立预测预后。利用提名图、接收者操作特征曲线和主成分分析,特征的预测能力也得到了证实。值得注意的是,免疫疗法,尤其是 PD-1 免疫检查点抑制疗法,更有可能使低风险患者受益。在高风险组中,某些抗癌药物的 IC50 水平较低。最后,对结肠癌细胞系进行的qRT-PCR分析显示,与正常细胞系相比,lncRNAs CASC9、ZEB1-AS1、ATP2A1-AS1、SNHG7、AL683813.1和AP003555.1的水平升高,而FAM160A1-DT和AC112220.2的水平降低。这一特征为COAD患者的预后、肿瘤微环境以及免疫疗法和抗肿瘤药物的选择提供了启示。
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来源期刊
Apoptosis
Apoptosis 生物-生化与分子生物学
CiteScore
9.10
自引率
4.20%
发文量
85
审稿时长
1 months
期刊介绍: Apoptosis, a monthly international peer-reviewed journal, focuses on the rapid publication of innovative investigations into programmed cell death. The journal aims to stimulate research on the mechanisms and role of apoptosis in various human diseases, such as cancer, autoimmune disease, viral infection, AIDS, cardiovascular disease, neurodegenerative disorders, osteoporosis, and aging. The Editor-In-Chief acknowledges the importance of advancing clinical therapies for apoptosis-related diseases. Apoptosis considers Original Articles, Reviews, Short Communications, Letters to the Editor, and Book Reviews for publication.
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