Identification of key hub genes associated with anti-gastric cancer effects of lotus plumule based on machine learning algorithms  

作　　者：Fan-Di Meng Shu-Min Jia Yu-Bin Ma Yu-Hua Du Wen-Jing Liu Yi Yang Ling Yuan Yi Nan 

机构地区：[1]Traditional Chinese Medicine College,Ningxia Medical University,Yinchuan 750004,Ningxia Hui Autonomous Region,China [2]College of Pharmacy,Ningxia Medical University,Yinchuan 750004,Ningxia Hui Autonomous Region,China [3]Key Laboratory of Hui Ethnic Medicine Modernization of Ministry of Education,Ningxia Medical University,Yinchuan 750004,Ningxia Hui Autonomous Region,China

出　　处：《World Journal of Gastrointestinal Oncology》2025年第4期384-415,共32页世界胃肠肿瘤学杂志(英文)

基　　金：Supported by Ningxia Key Research and Development Program,No.2023BEG02015;Talent Development Projects of Young Qihuang of National Administration of Traditional Chinese Medicine(2020).

摘　　要：BACKGROUND Lotus plumule and its active components have demonstrated inhibitory effects on gastric cancer(GC).However,the molecular mechanism of lotus plumule against GC remains unclear and requires further investigation.AIM To identify the key hub genes associated with the anti-GC effects of lotus plumule.METHODS This study investigated the potential targets of traditional Chinese medicine for inhibiting GC using weighted gene co-expression network analysis and bio-informatics.Initially,the active components and targets of the lotus plumule and the differentially expressed genes associated with GC were identified.Sub-sequently,a protein-protein interaction network was constructed to elucidate the interactions between drug targets and disease-related genes,facilitating the identification of hub genes within the network.The clinical significance of these hub genes was evaluated,and their upstream transcription factors and down-stream targets were identified.The binding ability of a hub gene with its down-stream targets was verified using molecular docking technology.Finally,molecular docking was performed to evaluate the binding affinity between the active ingredients of lotus plumule and the hub gene.RESULTS This study identified 26 genes closely associated with GC.Machine learning analysis and external validation narrowed the list to four genes:Aldo-keto reductase family 1 member B10,fructose-bisphosphatase 1,protein arginine methyltransferase 1,and carbonic anhydrase 9.These genes indicated a strong correlation with anti-GC activity.CONCLUSION Lotus plumule exhibits anti-GC effects.This study identified four hub genes with potential as novel targets for diagnosing and treating GC,providing innovative perspectives for its clinical management.

关 键 词：Gastric cancer Lotus plumule Network pharmacology Weighted gene co-expression network analysis Machine learning 

分 类 号：TP3[自动化与计算机技术—计算机科学与技术]