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结直肠腺瘤与结直肠腺癌差异表达基因的生物信息学分析。

Bioinformatics analysis on differentially expressed genes between colorectal adenoma and colorectal adenocarcinoma.

机构信息

118393Graduate School, Hunan University of Chinese Medicine, Changsha, P.R. China.

Department of Anorectal Surgery, The Affiliated Hospital of Hunan Academy of Traditional Chinese Medicine, Changsha, P.R. China.

出版信息

Scott Med J. 2022 Nov;67(4):178-188. doi: 10.1177/00369330221122306. Epub 2022 Aug 29.

Abstract

BACKGROUND

Colorectal adenoma (CRA) is the main cause of the progression of Colorectal adenocarcinoma (COAD). Therefore, it is very important to accurately reveal its developmental mechanism.

METHODS

Differential expression genes (DEGs) in three microarray datasets were screened using GEO and GEO2R. R packages were used for gene ontology (GO) functional annotation and Kyoto Encyclopedia of Genes and Genomes (KEGG) path enrichment analysis. Hub genes screened by STRING, Cytoscape and CytoHubba were used. R was used for DEGs of hub genes, and Gene Expression Profiling Interactive Analysis (GEPIA2) database was used for prognostic Analysis. R-packet were used to analyze tumor pathology, tumour, lymph-nodes, and metastases (TNM) staging, enrichment, immune invasion and prognosis.

RESULTS

Among the 66 genes, including 36 up-regulated and 30 down-regulated genes. Survival analysis showed that COL1A1, COL5A2, COL5A1 and secreted protein acidic and rich in cysteine (SPARC) were associated with disease-free survival in patients. The four genes were related to tumor pathological stage, TNM stage and immune invasion. COL1A1 and COL5A2 were highly expressed in chromatin modification and cellular senescence. Low expression of COL5A1 and SPARC was significantly enriched in neutrophil degranulation and Wp VegfavegFR2 signaling pathways.

CONCLUSIONS

Obviously, these four key genes can serve as important targets for early diagnosis, treatment, immunity and prognosis of CRA to COAD.

摘要

背景

结直肠腺瘤(CRA)是结直肠腺癌(COAD)进展的主要原因。因此,准确揭示其发展机制非常重要。

方法

使用 GEO 和 GEO2R 筛选三个微阵列数据集的差异表达基因(DEGs)。R 包用于基因本体论(GO)功能注释和京都基因与基因组百科全书(KEGG)途径富集分析。使用 STRING、Cytoscape 和 CytoHubba 筛选的枢纽基因。使用 R 对枢纽基因的 DEGs 进行分析,并使用基因表达谱交互式分析(GEPIA2)数据库进行预后分析。R 包用于分析肿瘤病理学、肿瘤、淋巴结和转移(TNM)分期、富集、免疫浸润和预后。

结果

在 66 个基因中,包括 36 个上调基因和 30 个下调基因。生存分析表明,COL1A1、COL5A2、COL5A1 和富含半胱氨酸的酸性分泌蛋白(SPARC)与患者无病生存率相关。这四个基因与肿瘤病理分期、TNM 分期和免疫浸润有关。COL1A1 和 COL5A2 在染色质修饰和细胞衰老中高表达。COL5A1 和 SPARC 的低表达在中性粒细胞脱颗粒和 Wp VegfavegFR2 信号通路中明显富集。

结论

显然,这四个关键基因可以作为 CRA 向 COAD 早期诊断、治疗、免疫和预后的重要靶点。

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