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结肠癌中淋巴结转移相关基因的鉴定及免疫浸润模式

Identification of lymph node metastasis-related genes and patterns of immune infiltration in colon adenocarcinoma.

作者信息

Zhang Haoxiang, Zhao Guibin, Zhu Guangwei, Ye Jianxin

机构信息

Department of Gastrointestinal Surgery 2 Section, Institute of Abdominal Surgery, Key Laboratory of Accurate Diagnosis and Treatment of Cancer, The First Affiliated Hospital, Fujian Medical University, Fuzhou, China.

Department of Gastrointestinal Surgery 2 Section, National Regional Medical Center, Fujian Medical University, Fuzhou, China.

出版信息

Front Oncol. 2023 Jan 16;12:907464. doi: 10.3389/fonc.2022.907464. eCollection 2022.

Abstract

BACKGROUNDS

Colon adenocarcinoma(COAD) is one of the most common tumors of the digestive tract. Lymph node metastasis (LNM) is a well-established prognostic factor for COAD. The mechanism of COAD lymph node metastasis in immunology remains unknown. The identification of LNM-related biomarkers of COAD could help in its treatment. Thus, the current study was aimed to identify key genes and construct a prognostic signature.

METHODS

Gene expression and clinical data were obtained from The Cancer Genome Atlas (TCGA) database. Differentially expressed genes were calculated by using R software. GO functional and KEGG pathway enrichment analysis were processed. The CIBERSORT algorithm was used to assess immune cell infiltration. STRING database was used to screen key genes and constructed a protein-protein interaction network (PPI network). The LASSO-Cox regression analysis was performed based on the components of the PPI network. The correlation analysis between LNM-related signature and immune infiltrating cells was then investigated. TISIDB was used to explore the correlation between the abundance of immunomodulators and the expression of the inquired gene.

RESULTS

In total, 394 differentially expressed genes were identified. After constructing and analyzing the PPI network, 180 genes were entered into the LASSO-Cox regression model, constructing a gene signature. Five genes(PMCH, LRP2, NAT1, NKAIN4, and CD1B) were identified as LNM-related genes of clinical value. Correlation analysis revealed that LRP2 and T follicular helper cells (R=0.34, P=0.0019) and NKAIN4 and T follicular helper cells (R=0.23, P=0.041) had significant correlations. Immunologic analysis revealed that LRP2 and NKAIN4 are potential coregulators of immune checkpoints in COAD.

CONCLUSION

In general, this study revealed the key genes related to lymph node metastasis and prognostic signature. Several potential mechanisms and therapeutic and prognostic targets of lymph node metastasis were also demonstrated in COAD.

摘要

背景

结肠腺癌(COAD)是最常见的消化道肿瘤之一。淋巴结转移(LNM)是COAD公认的预后因素。COAD淋巴结转移在免疫学方面的机制尚不清楚。鉴定COAD的LNM相关生物标志物有助于其治疗。因此,本研究旨在鉴定关键基因并构建预后特征。

方法

从癌症基因组图谱(TCGA)数据库获取基因表达和临床数据。使用R软件计算差异表达基因。进行基因本体(GO)功能和京都基因与基因组百科全书(KEGG)通路富集分析。使用CIBERSORT算法评估免疫细胞浸润。利用STRING数据库筛选关键基因并构建蛋白质-蛋白质相互作用网络(PPI网络)。基于PPI网络的组件进行LASSO-Cox回归分析。然后研究LNM相关特征与免疫浸润细胞之间的相关性。使用TISIDB探索免疫调节剂丰度与所查询基因表达之间的相关性。

结果

共鉴定出394个差异表达基因。构建并分析PPI网络后,180个基因进入LASSO-Cox回归模型,构建了一个基因特征。五个基因(PMCH、LRP2、NAT1、NKAIN4和CD1B)被鉴定为具有临床价值的LNM相关基因。相关性分析显示,LRP2与滤泡辅助性T细胞(R = 0.34,P = 0.0019)以及NKAIN4与滤泡辅助性T细胞(R = 0.23,P = 0.041)具有显著相关性。免疫分析显示,LRP2和NKAIN4是COAD中免疫检查点的潜在共调节因子。

结论

总体而言,本研究揭示了与淋巴结转移相关的关键基因和预后特征。还在COAD中展示了淋巴结转移的几种潜在机制以及治疗和预后靶点。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/eaf5/9884978/a376f4744d0d/fonc-12-907464-g001.jpg

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