Construction of a Metabolism-Related Long Non-Coding RNAs-Based Risk Score Model of Hepatocellular Carcinoma for Prognosis and Personalized Treatment Prediction

Background: Long non-coding RNAs (lncRNAs) play a key regulatory role in tumor metabolism. Although hepatocellular carcinoma (HCC) is a metabolic disease, there have been few systematic reports on the association between lncRNA expression and metabolism in HCC.Results: In this study, we screened 557...

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Main Authors: Peichen Zhang (Author), Liping Chen (Author), Shengjie Wu (Author), Bailiang Ye (Author), Chao Chen (Author), Lingyan Shi (Author)
Format: Book
Published: Frontiers Media S.A., 2022-05-01T00:00:00Z.
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042 |a dc 
100 1 0 |a Peichen Zhang  |e author 
700 1 0 |a Liping Chen  |e author 
700 1 0 |a Shengjie Wu  |e author 
700 1 0 |a Bailiang Ye  |e author 
700 1 0 |a Chao Chen  |e author 
700 1 0 |a Lingyan Shi  |e author 
245 0 0 |a Construction of a Metabolism-Related Long Non-Coding RNAs-Based Risk Score Model of Hepatocellular Carcinoma for Prognosis and Personalized Treatment Prediction 
260 |b Frontiers Media S.A.,   |c 2022-05-01T00:00:00Z. 
500 |a 1532-2807 
500 |a 10.3389/pore.2022.1610066 
520 |a Background: Long non-coding RNAs (lncRNAs) play a key regulatory role in tumor metabolism. Although hepatocellular carcinoma (HCC) is a metabolic disease, there have been few systematic reports on the association between lncRNA expression and metabolism in HCC.Results: In this study, we screened 557 metabolism-related lncRNAs in HCC. A risk score model based on 13 metabolism-related lncRNA pairs was constructed to predict the outcome and drug response in HCC. The risk score model presented a better prediction of the outcomes than that with common clinicopathological characteristics, such as tumor stage, grade, and status and aneuploidy score in both training and testing cohorts. In addition, patients in the high-risk group exhibited higher responses to gemcitabine and epothilone, whereas those in the low-risk group were more sensitive to metformin and nilotinib.Conclusion: The metabolism-related lncRNAs-based risk score model and the other findings of this study may be helpful for HCC prognosis and personalized treatment prediction. 
546 |a EN 
690 |a prognosis 
690 |a lncRNA 
690 |a hepatocellular carcinoma 
690 |a metabolism 
690 |a therapeutic response 
690 |a Neoplasms. Tumors. Oncology. Including cancer and carcinogens 
690 |a RC254-282 
690 |a Pathology 
690 |a RB1-214 
655 7 |a article  |2 local 
786 0 |n Pathology and Oncology Research, Vol 28 (2022) 
787 0 |n https://www.por-journal.com/articles/10.3389/pore.2022.1610066/full 
787 0 |n https://doaj.org/toc/1532-2807 
856 4 1 |u https://doaj.org/article/9ccd965a428b4c73a15d56cbf9dd9ea5  |z Connect to this object online.