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肿瘤微环境中基质-免疫特征对胃腺癌的潜在预后价值及机制。

Potential Prognostic Value and Mechanism of Stromal-Immune Signature in Tumor Microenvironment for Stomach Adenocarcinoma.

机构信息

Department of Gastroenterology, Second Hospital of Hebei Medical University, Shijiazhuang, 050000 Hebei Province, China.

Department of Gastroenterology, Third Hospital of Hebei Medical University, Shijiazhuang 050051, Hebei Province, China.

出版信息

Biomed Res Int. 2020 Jun 26;2020:4673153. doi: 10.1155/2020/4673153. eCollection 2020.

Abstract

Stomach adenocarcinoma (STAD) is one of the most common malignancies. But the molecular mechanism is unknown. In this study, we downloaded the transcriptional profiles and clinical data of 344 STAD and 30 normal samples from The Cancer Genome Atlas (TCGA) database. Stromal and immune scores of STAD were calculated by the Estimation of Stromal and Immune cells in Malignant Tumor tissues using Expression data (ESTIMATE) algorithm, and association of stromal/immune scores with tumor differentiation/T/N/M stage and survival was investigated. The differentially expressed genes (DEGs) between high and low score groups (based on media) were identified, and prognostic genes over-/underexpressed in both STAD and stromal/immune signature were retrieved. Furthermore, proportions of 22 infiltrating immune cells for the cohort from TCGA were estimated by the Cell-type Identification By Estimating Relative Subsets Of RNA Transcripts (CIBERSORT) algorithm, and association of 22 immune cells with tumor differentiation/T/N/M stage and survival was investigated. Next, coexpression analysis of 22 immune cells and intersection genes over-/underexpressed in both STAD and stromal signature was conducted. We found high stromal and immune scores and macrophage infiltration predicting poor tumor differentiation and severe local invasion, obtained a list of prognostic genes based on stromal-immune signature, and explored the interaction of collagen, chemokines such as CXCL9, CXCL10, and CXCL11, and macrophage through coexpression analysis and may provide novel prognostic biomarkers and immunotherapeutic targets for STAD.

摘要

胃腺癌(STAD)是最常见的恶性肿瘤之一。但其分子机制尚不清楚。本研究从癌症基因组图谱(TCGA)数据库中下载了 344 例 STAD 和 30 例正常样本的转录谱和临床数据。利用表达数据(ESTIMATE)算法计算 STAD 的基质和免疫评分,并探讨基质/免疫评分与肿瘤分化/T/N/M 分期和生存的关系。基于中位数将 STAD 分为高、低评分组,识别差异表达基因(DEGs),并检索在 STAD 和基质/免疫特征中均过表达/低表达的预后基因。然后,通过细胞类型鉴定相对转录本估计(CIBERSORT)算法估计 TCGA 队列中 22 种浸润免疫细胞的比例,并探讨 22 种免疫细胞与肿瘤分化/T/N/M 分期和生存的关系。接下来,对 22 种免疫细胞与在 STAD 和基质特征中均过表达/低表达的交集基因进行共表达分析。结果发现高基质和免疫评分以及巨噬细胞浸润预示着肿瘤分化不良和局部侵袭严重,基于基质-免疫特征获得了一组预后基因,并通过共表达分析探讨了胶原、趋化因子(如 CXCL9、CXCL10 和 CXCL11)和巨噬细胞之间的相互作用,可能为 STAD 提供新的预后生物标志物和免疫治疗靶点。

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