Journal of Practical Oncology ›› 2022, Vol. 36 ›› Issue (2): 119-126.doi: 10.11904/j.issn.1002-3070.2022.02.004

• Clinical Research • Previous Articles     Next Articles

Construction and validation of a risk model for early diagnosis and prognosis of gastric cancer based on immune-related lncRNAs

WANG Hongying1, LI Yan1, HAN Xinhao1, WEI Xiaoli2, JIA Huixun3, YUAN Wenjuan4, ZHANG Qiuju1   

  1. 1. Department of Health Statistics,School of Public Health,Harbin Medical University,Harbin 150086,China;
    2. Ward 1,Department of Gastroenterology,Harbin Medical University Cancer Hospital;
    3. The First People′s Hospital Affiliated to Shanghai Jiao Tong University;
    4. Yuelai Town Health Center,Huachuan County
         
  • Received:2021-12-21 Revised:2022-03-11 Online:2022-04-28 Published:2022-04-28

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Abstract: Objective The aim of this study was to establish early diagnosis model and a prognostic risk model on immune-related lncRNAs of gastric cancer based,and to provide data support for early diagnosis and prediction prognosis of gastric cancer.Methods The TCGA-STAD dataset and the immport database were used to screen gastric cancer-related immune lncRNAs.The TCGA-STAD was used as the training set to construct a model for early diagnosis model of gastric cancer by logistic regression analysis.Univariate Cox and LASSO regression analyses were used to screen immune lncRNAs that affected the overall survival of patients and construct prognostic gene signature.Finally,the gene signature and patient clinical indicators were combined to construct a risk model of gastric cancer prognosis.Gastric cancer gene chip datasets GSE54129 and GSE62254 were used as validation sets for external validation of the diagnostic and prognostic models,respectively.Results Nine immune-related lncRNAs were screened out to construct an early diagnostic model of gastric cancer.The Hosmer-Lemeshow test P-values of model construction and validation were 0.9982 and 1.0000,respectively,and the areas under the ROC curve were 0.991 and 0.958,respectively.Six immune lncRNAs affecting the overall survival of patients were obtained to construct the gene signature.Patients were divided into the high and low risk groups according to the median signature risk score.Survival analysis showed that the overall survival rate of patients in the high risk group was lower than that of the patients in the low risk group(training set and validation set,P＜0.05).The C-index of the survival status prediction genetic signature construction and validation were 0.61 and 0.59,respectively,and the areas under ROC curves for 1-,3- and 5-year overall survival rates were 0.623,0.623,0.677 and 0.581,0.613,0.622,respectively.Multivariate Cox regression analysis showed that gene signature,age and tumor stage were independent factors affecting the overall survival rate of gastric cancer patients,and a prognostic risk model was constructed.C-index,ROC curve and calibration curve analysis showed that the predictive power of the prognostic risk model was better than that of the gene signature.Conclusion The early diagnostic model can effectively assist the early screening of gastric cancer.The gene signature,an independent factor affecting the overall survival rate of gastric cancer patients, which can predict the prognosis of patients to a moderate degree.In comparison,the prognostic risk model can further improve the predictive ability of the model.
   

Key words: Gastric cancer, Diagnosis, Prognosis, Immune-related long non-coding RNAs

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