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Archive > Volume 24 Issue 11 > 2017,24(11):1309-1314. DOI:10.3872/j.issn.1007-385X.2017.11.012 Prev Next
Clinical Research
Informatics analysis of independent risk factors effecting on prognosis of the patients with liver cancer
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Abstract:
Objective: To explore independent risk factors affecting prognosis of the patients with liver cancer and their correlative features to action target points of targeting drug for liver cancer (sorafenib) via survey and analysis of bio-information. Methods: Data of gene expression, survival time and survival status of the 79 patients with liver cancer who finally died were selected from the 248 patients with liver cancer in the TCGA data base, the died patients were divided into 2 groups according to medium survival time of 360 days as a dividing line. Differential genes were screened out among data of the gene expression in patients of the 2 groups by DEseq algorithm. Without considering other mingled factors and only considering a single factor of differential gene expression and its correlation with survival time of the patients, uni-variate analysis of the differential genes was made by Kaplan-Meier assay.Survival analysis of a matrix integrated with the differential gene expression obtained by the analysis，survival time and survival status of the patients was made by COX regression model, in order to look for independent risk factors affecting prognosis of the patients with liver cancer. Based on STRING data base, a protein interconnected network was constructed with the obtained differential genes and action target points of sorafenib, targeting drug for liver cancer, to seek relationship of the action target points of sorafenib with the differential genes. Results: Fifty two differential genes that could affect prognosis of the patients with liver cancer were obtained by preliminary screening of DEseq algorithm. Twenty six differential genes relating to survival time of the patients were obtained by Kaplan-Meier assay. Three differential genes (SQSTM1, ANXA10 and STMN1) were finally confirmed as independent risk factors affecting prognosis of the patients with liver cancer by COX analysis. The protein-protein interaction network revealed that the action target points of sorafenib, targetin drug for liver cancer, were closely related to multiple differential genes. ANXA10 involved in combine of calcium ion and combination of calcium dependent phospholipids. STMN1 and SQSTM1 played a important role in multiple signaling pathways. Conclusion: ANXA10,STMN1 and SQSTM1 could be independent risk factors affecting prognosis of the patients with liver cancer, which might be used as action target points of targeting drug developed or prediction index of prognosis of the patients in future.
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Project Supported:
Project supported by the Initial Foundation for Doctoral Science Research in Liaoning Province (No.201501022), and the Foundation for Development Program of Medical Science and Technology for Youth in the PLA (No.15QNP001)
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