Exploring biomarkers of MAPK pathway co-expression in lung adenocarcinoma and their functions based on machine learning algorithms and single-cell analysis  

作　　者：Mingkai Lin Ruoyi Zheng Peixian Liang Jiayang Huang Xintong Ke Wenjing Zhang Pei Shang 

机构地区：[1]Breast Center,Department of General Surgery,Nanfang Hospital,Southern Medical University,Guangzhou,Guangdong 510515,China [2]Department of Ultrasound,The Second Affiliated Hospital of Guangzhou Medical University,Guangzhou,Guangdong 510515,China [3]College of Teacher's Education,Guangdong University of Education,Guangzhou,Guangdong 510515,China [4]Department of Respiratory Medicine,Puyang People's Hospital,Henan 457000,China

出　　处：《Genes & Diseases》2025年第1期72-75,共4页基因与疾病(英文)

基　　金：supported by the Guangzhou basic and applied basic research project(China)(No.2023A04J2337).

摘　　要：Nowadays,although the treatment and diagnostic approaches have been improved,lung adenocarcinoma(LUAD)is still the leading cause of cancer-related death in the world with overall survival of less than five yearsi.Diagnosis of LUAD in the early stage is still a challenge,resulting from that early symptoms are not obvious2,which leads to the fact that most patients eventually die from cancer progression and chemotherapy resistance.LUAD is reported to be associated with the MAPK pathway,however,the mechanism at the cellular and genetic levels has not been clearly elucidated.Therefore,functional exploration of LUAD-and MAPK pathway-related genes is essential for understanding the pathogenesis of LUAD and exploring therapeutic measures.Figure S1 illustrates the flowchart of this study.

关 键 词：ADENOCARCINOMA LUNG CANCER 

分 类 号：R73[医药卫生—肿瘤]