预测胃癌预后的新型 N7-甲基鸟苷相关特征

IF 1.2 Q4 GENETICS & HEREDITY Egyptian Journal of Medical Human Genetics Pub Date : 2024-02-27 DOI:10.1186/s43042-024-00495-5
Shixing Zhao, Wenbo Zhao, Chunxia Yao, Yunxiao Tian
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引用次数: 0

摘要

尽管近年来胃癌治疗取得了重大进展,但我们对该疾病的病理生理学和进展过程的了解仍然有限,胃癌患者的预后仍然很差。本研究调查了基于m7G相关长非编码RNA(lncRNA)的潜在预后指标及其与胃癌(STAD)的关系。研究人员利用来自TCGA的RNA-seq和预后数据,采用Cox回归、共表达网络分析和多变量Cox回归来确定相关的lncRNA。我们将四个与 m7G 相关的 lncRNA 汇编成一个特征。我们发现它可作为胃癌的预后指标。m7G相关lncRNA图谱的曲线下面积为0.710,明显比临床病理标记更具诊断意义。研究还发现,TMB和肿瘤微环境与胃癌风险相关,这凸显了其特征在个性化治疗和疾病监测中的潜在作用。这项研究提供了一种新型的m7G相关lncRNA特征,可用作胃癌的预后指标,并有助于指导胃癌靶向免疫疗法的开发。
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A novel N7-methylguanosine-associated feature predicts prognosis in gastric cancer
Despite substantial advancements in gastric cancer treatment in recent years, our understanding of the disease’s pathophysiology and progression processes remains limited, and the prognosis for gastric cancer patients remains poor. This study investigated potential prognostic indicators based on m7G-associated long non-coding RNA (lncRNA) and its relationship with gastric cancer (STAD). The researchers used RNA-seq and prognostic data from TCGA, employing Cox regression, co-expression network analysis, and multivariate Cox regression to identify relevant lncRNAs. We compiled four m7G-related lncRNAs into a single signature. We found it may be used as a prognostic indicator for gastric cancer. The m7G-related lncRNA profile had an area under the curve of 0.710, significantly more diagnostic than clinicopathological markers. The study also found that the TMB and tumor microenvironment were associated with gastric cancer risk, highlighting their signature’s potential utility for personalized treatment and disease monitoring. This study provides a novel signature of m7G-related lncRNAs that can be used as a prognostic indicator for gastric cancer and may help guide the development of targeted immunotherapy for the condition.
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来源期刊
Egyptian Journal of Medical Human Genetics
Egyptian Journal of Medical Human Genetics Medicine-Genetics (clinical)
CiteScore
2.20
自引率
7.70%
发文量
150
审稿时长
18 weeks
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