Network module function enrichment analysis of lung squamous cell carcinoma and lung adenocarcinoma.
Network module function enrichment analysis of lung squamous cell carcinoma and lung adenocarcinoma.
复制标题
肺鳞癌和肺腺癌网络模块功能富集分析
DOI：
10.1097/md.0000000000031798
复制
发表时间：
2022-11-25
期刊：
影响因子：
1.6
通讯作者：
中科院分区：
文献类型：
--
作者：
背景资料：肺鳞状细胞癌（LUSC）和肺腺癌（LUAD）是严重威胁人类健康的两种主要的非小细胞肺癌亚型。然而，这两种亚型目前都缺乏早期诊断的有效指标。研究方法：为了识别肿瘤特异性指标并预测癌症相关信号通路，构建了LUSC和LUAD基因加权共表达网络。结合临床资料，利用蛋白质相互作用网络筛选LUSC和LUAD模块中的核心基因，并分析其功能和通路。最后，评估核心基因对LUSC和LUAD患者生存的影响。结果：我们分别在LUSC和LUAD中识别出12个网络模块。LUSC模块“紫色”和“绿色”以及LUAD模块“棕色”和“粉红色”分别与总生存率和肿瘤淋巴结转移的临床特征显著相关。分别从LUSC和LUAD中筛选出11个和8个基因作为候选核心基因。生存分析显示，SLIT 3、ABI3BP、MYOCD、PGM5、TNXB和DNAH9的高表达与LUSC患者的生存率降低相关。此外，BUB1、BUB1B、TTK和UBE2C的高表达与较低的患者存活率相关。结论：我们发现了LUSC和LUAD的生物标志物基因和生物学通路。这些网络枢纽基因与临床特征和患者结局相关，它们可能在LUSC和LUAD中发挥重要作用。
Background: Lung squamous cell carcinoma (LUSC) and lung adenocarcinoma (LUAD) are the two major subtypes of non-small cell lung cancer that pose a serious threat to human health. However, both subtypes currently lack effective indicators for early diagnosis. Methods: To identify tumor-specific indicators and predict cancer-related signaling pathways, LUSC and LUAD gene weighted co-expression networks were constructed. Combined with clinical data, core genes in LUSC and LUAD modules were then screened using protein-protein interaction networks and their functions and pathways were analyzed. Finally, the effect of core genes on survival of LUSC and LUAD patients was evaluated. Results: We identified 12 network modules in LUSC and LUAD, respectively. LUSC modules “purple” and “green” and LUAD modules “brown” and “pink” are significantly associated with overall survival and clinical traits of tumor node metastasis, respectively. Eleven genes from LUSC and eight genes from LUAD were identified as candidate core genes, respectively. Survival analysis showed that high expression of SLIT3, ABI3BP, MYOCD, PGM5, TNXB, and DNAH9 are associated with decreased survival in LUSC patients. Furthermore, high expression of BUB1, BUB1B, TTK, and UBE2C are associated with lower patient survival. Conclusions: We found biomarker genes and biological pathways for LUSC and LUAD. These network hub genes are associated with clinical characteristics and patient outcomes and they may play important roles in LUSC and LUAD.
嵌合基因在通路相关基因共表达模块中的潜在作用
影响因子：
3.2
作者：
Li P;Li Y;Ma L
通讯作者：
Ma L