Molecular insights into programmed cell death in esophageal squamous cell carcinoma

被引:1
|
作者
Chen, Min [1 ,2 ,3 ,4 ,5 ,6 ,7 ]
Qi, Yijun [2 ,3 ,4 ,5 ,6 ,7 ]
Zhang, Shenghua [2 ,3 ,4 ,5 ,6 ,7 ]
Du, Yubo [2 ,3 ,4 ,5 ,6 ,7 ]
Cheng, Haodong [2 ,3 ,4 ,5 ,6 ,7 ]
Gao, Shegan [1 ,2 ,3 ,4 ,5 ,6 ,7 ]
机构
[1] Henan Univ Sci & Technol, Sch Informat Engn, Luoyang, Peoples R China
[2] Henan Univ Sci & Technol, Affiliated Hosp 1, State Key Lab Esophageal Canc Prevent & Treatment, Luoyang, Peoples R China
[3] Henan Univ Sci & Technol, Affiliated Hosp 1, Henan Key Lab Microbiome & Esophageal Canc Prevent, Luoyang, Peoples R China
[4] Henan Univ Sci & Technol, Affiliated Hosp 1, Henan Key Lab Canc Epigenet, Luoyang, Peoples R China
[5] Henan Univ Sci & Technol, Canc Hosp, Affiliated Hosp 1, Luoyang, Peoples R China
[6] Henan Univ Sci & Technol, Coll Clin Med, Luoyang, Peoples R China
[7] Henan Univ Sci & Technol, Med Coll, Luoyang, Peoples R China
来源
PEERJ | 2024年 / 12卷
关键词
Programmed cell death; Esophageal squamous cell carcinoma; Machine learning; Diagnosis; Transcription factors; miRNAs; CANCER; PROGNOSIS;
D O I
10.7717/peerj.17690
中图分类号
O [数理科学和化学]; P [天文学、地球科学]; Q [生物科学]; N [自然科学总论];
学科分类号
07 ; 0710 ; 09 ;
摘要
Background . Esophageal squamous cell carcinoma (ESCC) is a deadly type of esophageal cancer. Programmed cell death (PCD) is an important pathway of cellular self-extermination and is closely involved in cancer progression. A detailed study of its mechanism may contribute to ESCC treatment. Methods . We obtained expression profiling data of ESCC patients from public databases and genes related to 12 types of PCD from previous studies. Hub genes in ESCC were screened from PCD-related genes applying differential expression analysis, machine learning analysis, linear support vector machine (SVM), random forest and Least Absolute Shrinkage and Selection Operator (LASSO) regression analysis. In addition, based on the HTFtarget and TargetScan databases, transcription factors (TFs) and miRNAs interacting with the hub genes were selected. The relationship between hub genes and immune cells were analyzed using the CIBERSORT algorithm. Finally, to verify the potential impact of the screened hub genes on ESCC occurrence and development, a series of in vitro cell experiments were conducted. Results . We screened 149 PCD-related DEGs, of which five DEGs ( INHBA , LRRK2 , HSP90AA1 , HSPB8 , and EIF2AK2 ) were identified as the hub genes of ESCC. The area under the curve (AUC) of receiver operating characteristic (ROC) curve of the integrated model developed using the hub genes reached 0.997, showing a noticeably high diagnostic accuracy. The number of TFs and miRNAs regulating hub genes was 105 and 22, respectively. INHBA , HSP90AA1 and EIF2AK2 were overexpressed in cancer tissues and cells of ESCC. Notably, INHBA knockdown suppressed ECSS cell migration and invasion and altered the expression of important apoptotic and survival proteins. Conclusion . This study identified significant molecules with promising accuracy for the diagnosis of ESCC, which may provide a new perspective and experimental basis for ESCC research.
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页数:21
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