通过用于预测肝癌预后的新型杯突相关基因特征,将 DLAT 鉴定为潜在的治疗靶点。

IF 2 4区 医学 Q3 GASTROENTEROLOGY & HEPATOLOGY
Journal of gastrointestinal oncology Pub Date : 2024-10-31 Epub Date: 2024-10-29 DOI:10.21037/jgo-24-609
Cunbing Xia, Yang Chen, Yongkang Zhu, Dexuan Chen, Haijian Sun, Tong Shen, Vishal G Shelat, Vasileios K Mavroeidis, Giovanni Battista Levi Sandri, Zhan Wang, Hong Zhu
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引用次数: 0

摘要

背景:肝癌(LC)的预后不容乐观。研究人员最近发现了杯突症,这是一种新型的受控细胞死亡形式,其在肝癌中的表达和预后尚不清楚。本研究揭示了预测肝癌预后的基因特征:方法:从癌症基因组图谱(TCGA)中获取了371例LC患者的RNA和临床数据。通过比较癌症样本和正常样本,确定了差异表达基因(DEGs)。利用单变量考克斯回归和最小绝对缩小和选择算子(LASSO)发现了与总生存期(OS)相关的基因。基因特征已在所有患者中得到验证。对基因表达和临床特征进行了分析,并生成了高风险组和低风险组的 Kaplan-Meier (KM) 曲线。DEGs 被用于基因本体(GO)、京都基因和基因组百科全书(KEGG)、免疫浸润和药物预测分析。使用实时聚合酶链反应(RT-PCR)、经孔侵袭、细胞计数试剂盒-8(CCK-8)、菌落形成和耐药性试验评估了 DLAT 的功能:结果:在 LC 和正常肝组织中共发现了 12 个杯突症调节因子。利用基于LASSO Cox回归的3基因特征将TCGA LC患者分为低危和高危两类。低危患者的生存率高于高危患者(发现PDLAT能促进LC细胞的迁移和增殖,并作为预后标志与耐药性相关):Cuproptosis相关基因有助于肿瘤的发展,并有助于预测LC患者的预后。结论:杯突相关基因有助于肿瘤的发展,可以帮助预测 LC 患者的预后。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Identification of DLAT as a potential therapeutic target via a novel cuproptosis-related gene signature for the prediction of liver cancer prognosis.

Background: The prognosis for liver cancer (LC) is dismal. Researchers recently discovered cuproptosis, a novel form of controlled cell death whose expression in LC and prognosis are unclear. This study reveals a gene signature to predict LC prognosis.

Methods: RNA and clinical data for 371 LC patients were obtained from The Cancer Genome Atlas (TCGA). Differentially expressed genes (DEGs) were identified by comparing cancerous and normal samples. Genes linked to overall survival (OS) were found using univariate Cox regression and least absolute shrinkage and selection operator (LASSO). The gene signature was validated across all patients. Gene expression and clinical traits were analyzed, and Kaplan-Meier (KM) curves were generated for high- and low-risk groups. DEGs were used for Gene Ontology (GO), Kyoto Encyclopedia of Genes and Genomes (KEGG), immune infiltration, and drug prediction analyses. DLAT's functions were assessed using real-time polymerase chain reaction (RT-PCR), transwell invasion, Cell Counting Kit-8 (CCK-8), colony formation, and drug resistance assays.

Results: A total of 12 cuproptosis regulators were discovered in LC and normal liver tissues. A 3-gene signature based on LASSO Cox regression was utilized to categorize TCGA LC patients into low- and high-risk categories. Low-risk patients exhibited better survival than high-risk patients (P<0.05). Tumor grade, stage, and T stage differed between high- and low-risk groups. Long-term prognosis was well predicted by male subgroup survival studies. We predicted LC patient survival using sex, tumor grade, tumor stage, and risk score. Functional enrichment showed that extracellular matrix (ECM) architecture, channel function, and tumor-associated pathways were enriched in LC, suggesting that cancer related functions were collected. Immune microenvironment inhibition was found in the high-risk group suggesting that immunosuppression was closely related. We also discovered five small molecules that could be potentially useful for LC treatment. DLAT was discovered to promote the migration and proliferation of LC cells and is connected to drug resistance as a prognostic marker.

Conclusions: Cuproptosis-related genes contribute to tumor development and can aid the prediction of LC patient prognosis. DLAT is a potential LC prognostic and therapeutic target.

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来源期刊
CiteScore
3.20
自引率
0.00%
发文量
171
期刊介绍: ournal of Gastrointestinal Oncology (Print ISSN 2078-6891; Online ISSN 2219-679X; J Gastrointest Oncol; JGO), the official journal of Society for Gastrointestinal Oncology (SGO), is an open-access, international peer-reviewed journal. It is published quarterly (Sep. 2010- Dec. 2013), bimonthly (Feb. 2014 -) and openly distributed worldwide. JGO publishes manuscripts that focus on updated and practical information about diagnosis, prevention and clinical investigations of gastrointestinal cancer treatment. Specific areas of interest include, but not limited to, multimodality therapy, markers, imaging and tumor biology.
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