Integration of the bulk transcriptome and single-cell transcriptome reveals efferocytosis features in lung adenocarcinoma prognosis and immunotherapy by combining deep learning.

IF 5.3 2区 医学 Q1 ONCOLOGY Cancer Cell International Pub Date : 2024-11-23 DOI:10.1186/s12935-024-03571-3
Yiluo Xie, Huili Chen, Xueying Zhang, Jing Zhang, Kai Zhang, Xinyu Wang, Shengping Min, Xiaojing Wang, Chaoqun Lian
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Abstract

Background: Efferocytosis (ER) refers to the process of phagocytic clearance of programmed dead cells, and studies have shown that it is closely related to tumor immune escape.

Methods: This study was based on a comprehensive analysis of TCGA, GEO and CTRP databases. ER-related genes were collected from previous literature, univariate Cox regression was performed and consistent clustering was performed to categorize lung adenocarcinoma (LUAD) patients into two subgroups. Lasso regression and multivariate Cox regression analyses were used to construct ER-related prognostic features, and multiple immune infiltration algorithms were used to assess the correlation between the extracellular burial-related risk score (ERGRS) and tumor microenvironment (TME). And the key gene HAVCR1 was identified by deep learning, etc. Finally, pan-cancer analysis of the key genes was performed and in vitro experiments were conducted to verify the promotional effect of HAVCR1 on LUAD progression.

Results: A total of 33 ER-related genes associated with the prognosis of LUAD were identified, and the prognostic signature of ERGRS was successfully constructed to predict the overall survival (OS) and treatment response of LUAD patients. The high-risk group was highly enriched in some oncogenic pathways, while the low-ERGRS group was highly enriched in some immune-related pathways. In addition, the high ERGRS group had higher TMB, TNB and TIDE scores and lower immune scores. The low-risk group had better immunotherapeutic response and less likelihood of immune escape. Drug sensitivity analysis revealed that BRD-K92856060, monensin and hexaminolevulinate may be potential therapeutic agents for the high-risk group. And ERGRS was validated in several cohorts. In addition, HAVCR1 is one of the key genes, and knockdown of HAVCR1 in vitro significantly reduced the proliferation, migration and invasion ability of lung adenocarcinoma cells.

Conclusion: Our study developed a novel prognostic signature of efferocytosis-related genes. This prognostic signature accurately predicted survival prognosis as well as treatment outcome in LUAD patients and explored the role of HAVCR1 in lung adenocarcinoma progression.

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通过结合深度学习,整合大体转录组和单细胞转录组,揭示肺腺癌预后和免疫疗法中的流出特征。
背景:吞噬细胞(ER)是指吞噬细胞清除程序性死亡细胞的过程,研究表明它与肿瘤免疫逃逸密切相关:本研究基于对 TCGA、GEO 和 CTRP 数据库的全面分析。方法:本研究基于对 TCGA、GEO 和 CTRP 数据库的全面分析,从以往文献中收集 ER 相关基因,进行单变量 Cox 回归和一致聚类,将肺腺癌(LUAD)患者分为两个亚组。采用拉索回归和多变量 Cox 回归分析构建 ER 相关预后特征,并采用多种免疫浸润算法评估细胞外埋藏相关风险评分(ERGRS)与肿瘤微环境(TME)之间的相关性。并通过深度学习等方法确定了关键基因HAVCR1。最后,对关键基因进行了泛癌分析,并通过体外实验验证了HAVCR1对LUAD进展的促进作用:结果:共鉴定出33个与LUAD预后相关的ER相关基因,并成功构建了ERGRS预后特征,用于预测LUAD患者的总生存期(OS)和治疗反应。高风险组高度富集于一些致癌通路,而低ERGRS组则高度富集于一些免疫相关通路。此外,高ERGRS组的TMB、TNB和TIDE评分较高,而免疫评分较低。低风险组的免疫治疗反应较好,免疫逃逸的可能性较小。药物敏感性分析显示,BRD-K92856060、莫能菌素和六氨基乙酰丙酸盐可能是高风险组的潜在治疗药物。ERGRS在多个队列中得到了验证。此外,HAVCR1是关键基因之一,体外敲除HAVCR1可显著降低肺腺癌细胞的增殖、迁移和侵袭能力:结论:我们的研究发现了一种新的与流出细胞相关基因的预后特征。结论:我们的研究发现了一种新的流出细胞相关基因预后特征,该预后特征能准确预测肺腺癌患者的生存预后和治疗效果,并探讨了HAVCR1在肺腺癌进展中的作用。
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来源期刊
CiteScore
10.90
自引率
1.70%
发文量
360
审稿时长
1 months
期刊介绍: Cancer Cell International publishes articles on all aspects of cancer cell biology, originating largely from, but not limited to, work using cell culture techniques. The journal focuses on novel cancer studies reporting data from biological experiments performed on cells grown in vitro, in two- or three-dimensional systems, and/or in vivo (animal experiments). These types of experiments have provided crucial data in many fields, from cell proliferation and transformation, to epithelial-mesenchymal interaction, to apoptosis, and host immune response to tumors. Cancer Cell International also considers articles that focus on novel technologies or novel pathways in molecular analysis and on epidemiological studies that may affect patient care, as well as articles reporting translational cancer research studies where in vitro discoveries are bridged to the clinic. As such, the journal is interested in laboratory and animal studies reporting on novel biomarkers of tumor progression and response to therapy and on their applicability to human cancers.
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