|
|
Immune-related predicted genes of prognosis in non-small cell lung cancer |
LIU Shu ZHANG Xin XU Shun |
Department of Thoracic Surgery, the First Hospital of China Medical University, Liaoning Province, Shenyang 110001, China |
|
|
Abstract Objective To study immune-related predicted genes of prognosis in non-small cell lung cancer (NSCLC). Methods After the data were obtained from the cancer genome atlas, standardized processing was carried out, and immune-related differentially expressed genes were screened out. Cox regression analysis was conducted to establish the best risk model, and gene expression omnibus data were used for external verification. Results A total of 336 genes were identified as immune-related differentially expressed genes of NSCLC, and a prognostic risk model of NSCLC with an area under the curve of 0.703 composed of seven genes was obtained by Cox regression analysis. After evaluation and validation, this model can predict prognostic risk of NSCLC, and all seven genes constructed in the model affect prognosis. Conclusion In this study, a prognostic model based on immune-related differentially expressed genes was constructed to provide a new strategy for the prognostic study of NSCLC.
|
|
|
|
|
[1] Siegel RL,Miller KD,Jemal A. Cancer statistics [J]. CA Cancer J Clin,2019,69(1):7-34.
[2] Mitchell PL,John T. Lung cancer in 2016:immunotherapy comes of age [J]. Lancet Respir Med,2016,4(12):947-949.
[3] Ettinger DS,Wood DE,Akerley W,et al. NCCN Guidelines Insights:Non-Small Cell Lung Cancer,Version 4.2016 [J]. J Natl Compr Canc Netw,2016,14(3):255-264.
[4] Ouyang J,Sun Y,Li W,et al. dbPHCC:a database of prognostic biomarkers for hepatocellular carcinoma that provides online prognostic modeling [J]. Biochim Biophys Acta,2016,1860(11 Pt B):2688-2695.
[5] Liu X,Wu S,Yang Y,et al. The prognostic landscape of tumor-infiltrating immune cell and immunomodulators in lung cancer [J]. Biomed Pharmacother,2017,95:55-61.
[6] Botling J,Edlund K,Lohr M,et al. Biomarker discovery in non-small cell lung cancer:integrating gene expression profiling,meta-analysis,and tissue microarray validation [J]. Clin Cancer Res,2013,19(1):194-204.
[7] McCarthy DJ,Chen Y,Smyth GK. Differential expression analysis of multifactor RNA-Seq experiments with respect to biological variation [J]. Nucleic Acids Res,2012,40(10):4288-4297.
[8] Robinson MD,McCarthy DJ,Smyth GK. edgeR:a Bioconductor package for differential expression analysis of digital gene expression data [J]. Bioinformatics,2010,26(1):139-140.
[9] Terry M,Therneau,Patricia M. GRAMBSCH. Modeling Survival Data:Extending the Cox Model [M]. New York:Springer,2001.
[10] Kobayashi M,Matsubara N,Nakachi Y,et al. Hypermethylation of Corticotropin Releasing Hormone Receptor-2 Gene in Ulcerative Colitis Associated Colorectal Cancer [J]. In Vivo,2020,34(1):57-63.
[11] Jin L,Qian Y,Zhou J,et al. Activated CRH receptors inhibit autophagy by repressing conversion of LC3BⅠ to LC3BⅡ [J]. Cell Signal,2019,58:119-130.
[12] Yu S,Li Y,Liao Z,et al. Plasma extracellular vesicle long RNA profiling identifies a diagnostic signature for the detection of pancreatic ductal adenocarcinoma [J]. Gut,2020,69(3):540-550.
[13] Duan S,Gong B,Wang P,et al. Novel prognostic biomarkers of gastric cancer based on gene expression microarray:COL12A1,GSTA3,FGA and FGG [J]. Mol Med Rep,2018,18(4):3727-3736.
[14] Powers J,Pinto EM,Barnoud T,et al. A Rare TP53 Mutation Predominant in Ashkenazi Jews Confers Risk of Multiple Cancers [J]. Cancer Res,2020,80(17):3732-3744.
[15] Wang D,Liu K,Yang Y,et al. Prognostic value of leukemia inhibitory factor and its receptor in pancreatic adenocarcinoma [J]. Future Oncol,2020,16(3):4461-4473.
[16] Wang L,Liang Y,Mao Q,et al. Circular RNA circCRIM1 inhibits invasion and metastasis in lung adenocarcinoma through the microRNA (miR)-182/miR-93-leukemia inhibitory factor receptor pathway [J]. Cancer Sci,2019, 110(9):2960-2972.
[17] Viswanadhapalli S,Luo Y,Sareddy GR,et al. EC359:A First-in-Class Small-Molecule Inhibitor for Targeting Oncogenic LIFR Signaling in Triple-Negative Breast Cancer [J]. Mol Cancer Ther,2019,18(8):1341-1354.
[18] Scimeca M,Bonfiglio R,Urbano N,et al. Programmed death ligand 1 expression in prostate cancer cells is associated with deep changes of the tumor inflammatory infiltrate composition [J]. Urol Oncol,2019,37(5):297.e219-297.e231.
[19] Rathore M,Girard C,Ohanna M,et al. Cancer cell-derived long pentraxin 3 (PTX3) promotes melanoma migration through a toll-like receptor 4(TLR4)/NF-κB signaling pathway [J]. Oncogene,2019,38(30):5873-5889.
[20] Ke HH,Hueng DY,Tsai WC. Low expression of pentraxin 3 and nuclear factor-like 2 implying a relatively longer overall survival time in gliomas [J]. Chin J Physiol,2019,62(1):35-43.
[21] Lei C,Lv S,Wang H,et al. Leukemia Inhibitory Factor Receptor Suppresses the Metastasis of Clear Cell Renal Cell Carcinoma Through Negative Regulation of the Yes-Associated Protein [J]. DNA Cell Biol,2018,37(8):659-669.
[22] Yamada Y,Arai T,Kojima S,et al. Regulation of antitumor miR-144-5p targets oncogenes:Direct regulation of syndecan-3 and its clinical significance [J]. Cancer Sci,2018,109(9):2919-2936.
[23] Li F,Yoshizawa JM,Kim KM,et al. Discovery and Validation of Salivary Extracellular RNA Biomarkers for Noninvasive Detection of Gastric Cancer [J]. Clin Chem,2018,64(10):1513-1521.
[24] Wang T,Xu H,Liu X,et al. Identification of Key Genes in Colorectal Cancer Regulated by miR-34a [J]. Med Sci Monit,2017,23:5735-5743.
[25] Tan Q,Cui J,Huang J,et al. Genomic Alteration During Metastasis of Lung Adenocarcinoma [J]. Cell Physiol Biochem,2016,38(2):469-486. |
|
|
|