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肺癌腺癌中癌症相关成纤维细胞相关基因特征的预后及免疫治疗意义

Prognosis and immunotherapy significances of a cancer-associated fibroblasts-related gene signature in lung adenocarcinoma.

作者信息

Luo Yanli, Zhang Sheng, Xie Huilin, Su Qiaofeng, He Shuang, Lei Zhen

机构信息

Department of Respiratory and Critical Care Medicine, Affiliated Hospital of North Sichuan Medical College, Nanchong, 637002, China.

出版信息

Cell Mol Biol (Noisy-le-grand). 2023 Dec 20;69(14):51-61. doi: 10.14715/cmb/2023.69.14.9.

Abstract

Cells associated with cancer (CAFs) contribute significantly to the stroma of a tumor microenvironment (TME), which is related to the occurrence, treatment, and prognosis of lung adenocarcinoma (LUAD). Therefore, this study investigated the function of CAF-associated genes in the microenvironment of LUAD. The Cancer Genome Atlas (TCGA) database was used to download RNA-seq data from the TCGA Lung Adenocarcinoma cohort (TCGA-LUAD). The GSE68465 dataset, as the external validation set, was from the Gene Expression Omnibus (GEO) database. Besides, CAF-associated genes were sourced from the GeneCards and Molecular Signatures Database (MsigDB). For LUAD, differentially expressed CAF-related genes were selected from overlapping CAF and LUAD patient and control samples. Next, LASSO and Univariate Cox analyses were used to construct the risk model. Additionally, an analysis of Cox regression was used to construct a nomogram. Next, the immune infiltration in malignant tumour tissues was compared between high- and low-risk groups using Estimation of STromal and Immune cells in MAlignant Tumours (ESTIMATE) tissues and Cell-type Identification by Estimating Relative Subsets of RNA Transcripts (CIBERSORT). The sensitivity differences of immunotherapy between the two risk groups were estimated by Tumor Immune Dysfunction and Exclusion (TIDE), and compared by rank-sum test. Finally, the model genes were detected by fluorescent real-time quantitative polymerase chain reaction (qRT-PCR). A total of 57 DE-CAFGs were acquired, and 9 of them (SHCBP1, CCNA2, AKAP12, CCNB1, GALNT3, SCGB1A1, CPS1, CDC6, and CXCL13) were selected as prognostic biomarkers. The Cox independent prognosis revealed the RiskScore and Stage were the two LUAD independent prognosis factors Moreover, 11 types of immune cells (memory B cells, resting natural killer cells (NK cells), Eosinophils, Macrophages M0, CD4 memory resting T cells, CD4 memory activated T cells, resting Mast cells, naive B cells, T cells regulatory (Tregs), neutrophils, and plasma cell), and 18 human leukocyte antigen (HLA) genes were different with the two risk groups. Lastly, the TIDE analysis showed differences between the two risk groups for TIDE, T cell dysfunction, and T cell exclusion, PD-L1 treatment scores. Lastly, Both LUAD and normal samples expressed the 9 model genes differently. A CAF-related prognostic model was constructed, which may have potential immunotherapy guiding significance for LUAD patients.

摘要

癌症相关成纤维细胞(CAFs)对肿瘤微环境(TME)的基质有显著贡献,这与肺腺癌(LUAD)的发生、治疗及预后相关。因此,本研究调查了CAF相关基因在LUAD微环境中的功能。利用癌症基因组图谱(TCGA)数据库从TCGA肺腺癌队列(TCGA-LUAD)下载RNA测序数据。作为外部验证集的GSE68465数据集来自基因表达综合数据库(GEO)。此外,CAF相关基因来源于基因卡片和分子特征数据库(MsigDB)。对于LUAD,从CAF与LUAD患者及对照样本的重叠部分中筛选差异表达的CAF相关基因。接下来,使用LASSO和单变量Cox分析构建风险模型。此外,采用Cox回归分析构建列线图。然后,使用肿瘤微环境中基质和免疫细胞估计(ESTIMATE)及通过RNA转录本相对子集估计进行细胞类型鉴定(CIBERSORT),比较高低风险组恶性肿瘤组织中的免疫浸润情况。通过肿瘤免疫功能障碍与排除(TIDE)评估两组风险组之间免疫治疗的敏感性差异,并通过秩和检验进行比较。最后,通过荧光实时定量聚合酶链反应(qRT-PCR)检测模型基因。共获得57个差异表达的CAF相关基因(DE-CAFGs),其中9个(SHCBP1、CCNA2、AKAP12、CCNB1、GALNT3、SCGB1A1、CPS1、CDC6和CXCL13)被选为预后生物标志物。Cox独立预后分析显示风险评分和分期是LUAD的两个独立预后因素。此外,11种免疫细胞(记忆B细胞、静息自然杀伤细胞(NK细胞)、嗜酸性粒细胞、M0巨噬细胞、CD4记忆静息T细胞、CD4记忆活化T细胞、静息肥大细胞、幼稚B细胞、调节性T细胞(Tregs)、中性粒细胞和浆细胞)以及18个人类白细胞抗原(HLA)基因在两个风险组中存在差异。最后,TIDE分析显示两个风险组在TIDE、T细胞功能障碍、T细胞排除及PD-L1治疗评分方面存在差异。最后,LUAD和正常样本中9个模型基因的表达均存在差异。构建了一个CAF相关的预后模型,这可能对LUAD患者具有潜在的免疫治疗指导意义。

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