Identification of an autophagy-related gene signature that can improve prognosis of hepatocellular carcinoma patients
文献类型:期刊论文
作者 | Huo,Xingxing1,2,3,4; Qi,Jian1,2,3; Huang,Kaiquan4; Bu,Su4; Yao,Wei4; Chen,Ying4![]() |
刊名 | BMC Cancer
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出版日期 | 2020-08-17 |
卷号 | 20 |
关键词 | Autophagy HCC Autophagy-related genes Molecular signature Drug sensitivity |
DOI | 10.1186/s12885-020-07277-3 |
通讯作者 | Nie,Jinfu(jeffnie@cmpt.ac.cn) |
英文摘要 | AbstractBackgroundAutophagy is a programmed cell degradation mechanism that has been associated with several physiological and pathophysiological processes, including malignancy. Improper induction of autophagy has been proposed to play a pivotal role in the progression of hepatocellular carcinoma (HCC).MethodsUnivariate Cox regression analysis of overall survival (OS) was performed to identify risk-associated autophagy-related genes (ARGs) in HCC data set from The Cancer Genome Atlas (TCGA). Multivariate cox regression was then performed to develop a risk prediction model for the prognosis of 370 HCC patients. The multi-target receiver operating characteristic (ROC) curve was used to determine the model’s accuracy. Besides, the relationship between drug sensitivity and ARGs expression was also examined.ResultsA total of 62 differentially expressed ARGs were identified in HCC patients. Univariate and multivariate regression identified five risk-associated ARGs (HDAC1, RHEB, ATIC, SPNS1 and SQSTM1) that were correlated with OS in HCC patients. Of importance, the risk-associated ARGs were independent risk factors in the multivariate risk model including clinical parameters such as malignant stage (HR?=?1.433, 95% CI?=?1.293–1.589, P?0.001). In addition, the area under curve for the prognostic risk model was 0.747, which indicates the high accuracy of the model in prediction of HCC outcomes. Interestingly, the risk-associated ARGs were also correlated with drug sensitivity in HCC cell lines.ConclusionWe developed a novel prognostic risk model by integrating the molecular signature and clinical parameters of HCC, which can effectively predict the outcomes of HCC patients. |
WOS关键词 | POOR-PROGNOSIS ; HDAC1 EXPRESSION ; PROLIFERATION ; PROGRESSION ; METASTASIS ; TUMOR ; SENSITIVITY ; ACTIVATION ; APOPTOSIS ; INVASION |
资助项目 | 100-Talent Program of Chinese Academy of Sciences ; National Natural Science Foundation of China[81803938] ; Anhui University of Traditional Chinese Medicine Natural Science Foundation[2018zryb48] ; Anhui University of Traditional Chinese Medicine Natural Science Foundation[2019zryb12] |
WOS研究方向 | Oncology |
语种 | 英语 |
WOS记录号 | BMC:10.1186/S12885-020-07277-3 |
出版者 | BioMed Central |
资助机构 | 100-Talent Program of Chinese Academy of Sciences ; National Natural Science Foundation of China ; Anhui University of Traditional Chinese Medicine Natural Science Foundation |
源URL | [http://ir.hfcas.ac.cn:8080/handle/334002/42811] ![]() |
专题 | 中国科学院合肥物质科学研究院 |
通讯作者 | Nie,Jinfu |
作者单位 | 1.Hefei Institutes of Physical Science, Chinese Academy of Sciences; Anhui Province Key Laboratory of Medical Physics and Technology, Institute of Health and Medical Technology 2.University of Science and Technology of China 3.Hefei Cancer Hospital, Chinese Academy of Sciences 4.the First Affiliated Hospital of Anhui University of Chinese Medicine; Experimental Center of Clinical Research |
推荐引用方式 GB/T 7714 | Huo,Xingxing,Qi,Jian,Huang,Kaiquan,et al. Identification of an autophagy-related gene signature that can improve prognosis of hepatocellular carcinoma patients[J]. BMC Cancer,2020,20. |
APA | Huo,Xingxing.,Qi,Jian.,Huang,Kaiquan.,Bu,Su.,Yao,Wei.,...&Nie,Jinfu.(2020).Identification of an autophagy-related gene signature that can improve prognosis of hepatocellular carcinoma patients.BMC Cancer,20. |
MLA | Huo,Xingxing,et al."Identification of an autophagy-related gene signature that can improve prognosis of hepatocellular carcinoma patients".BMC Cancer 20(2020). |
入库方式: OAI收割
来源:合肥物质科学研究院
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