Prognostic nomogram for hepatocellular carcinoma patients after transarterial chemoembolization based on des-γ-carboxy prothrombin reactivity and modified Response Evaluation Criteria in Solid Tumors
Aims: The aim of this study was to construct a nomogram that will predict the overall survival (OS) of hepatocellular carcinoma (HCC) patients after transarterial chemoembolization (TACE). Materials and Methods: Imaging data, clinical characteristics, and serum des-γ-carboxy prothrombin (DCP) levels...
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Published in | Journal of cancer research and therapeutics Vol. 17; no. 3; pp. 707 - 714 |
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Main Authors | , , , , , , , |
Format | Journal Article |
Language | English |
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Wolters Kluwer India Pvt. Ltd
01.07.2021
Medknow Publications & Media Pvt. Ltd |
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Abstract | Aims: The aim of this study was to construct a nomogram that will predict the overall survival (OS) of hepatocellular carcinoma (HCC) patients after transarterial chemoembolization (TACE).
Materials and Methods: Imaging data, clinical characteristics, and serum des-γ-carboxy prothrombin (DCP) levels of 93 HCC patients treated with TACE were collected. Lasso regression, random forest, and other methods were used to screen the OS-related variables and construct the Cox prognosis model. The model was visualized by nomogram, and the net benefit of the clinical decision was assessed by decision curve analysis (DCA).
Results: It was found that DCP level after TACE was an important predictor of OS in HCC patients. The OS of the patients with lower serum DCP levels after TACE was significantly better than the group with higher levels (P = 0.003). The Cox prognostic model was constructed using four predictors including DCP reactivity (P = 0.001), modified Response Evaluation Criteria in Solid Tumors (mRECIST, P = 0.005), Child-Pugh class (P = 0.018), and portal vein thrombosis (P = 0.039). The C-index of the nomogram for OS of patients after TACE was 0.813. The clinical decision-making net benefits based on the nomogram were better than the decision-making based on the TNM stage system.
Conclusion: DCP reactivity and mRECIST are the key predictors of prognosis in HCC patients that received TACE as their initial treatment. The nomogram constructed with these two indicators as the core could predict the OS of HCC patients after TACE and help in clinical decision-making. |
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AbstractList | AIMSThe aim of this study was to construct a nomogram that will predict the overall survival (OS) of hepatocellular carcinoma (HCC) patients after transarterial chemoembolization (TACE). MATERIALS AND METHODSImaging data, clinical characteristics, and serum des-γ-carboxy prothrombin (DCP) levels of 93 HCC patients treated with TACE were collected. Lasso regression, random forest, and other methods were used to screen the OS-related variables and construct the Cox prognosis model. The model was visualized by nomogram, and the net benefit of the clinical decision was assessed by decision curve analysis (DCA). RESULTSIt was found that DCP level after TACE was an important predictor of OS in HCC patients. The OS of the patients with lower serum DCP levels after TACE was significantly better than the group with higher levels (P = 0.003). The Cox prognostic model was constructed using four predictors including DCP reactivity (P = 0.001), modified Response Evaluation Criteria in Solid Tumors (mRECIST, P = 0.005), Child-Pugh class (P = 0.018), and portal vein thrombosis (P = 0.039). The C-index of the nomogram for OS of patients after TACE was 0.813. The clinical decision-making net benefits based on the nomogram were better than the decision-making based on the TNM stage system. CONCLUSIONDCP reactivity and mRECIST are the key predictors of prognosis in HCC patients that received TACE as their initial treatment. The nomogram constructed with these two indicators as the core could predict the OS of HCC patients after TACE and help in clinical decision-making. Aims: The aim of this study was to construct a nomogram that will predict the overall survival (OS) of hepatocellular carcinoma (HCC) patients after transarterial chemoembolization (TACE). Materials and Methods: Imaging data, clinical characteristics, and serum des-γ-carboxy prothrombin (DCP) levels of 93 HCC patients treated with TACE were collected. Lasso regression, random forest, and other methods were used to screen the OS-related variables and construct the Cox prognosis model. The model was visualized by nomogram, and the net benefit of the clinical decision was assessed by decision curve analysis (DCA). Results: It was found that DCP level after TACE was an important predictor of OS in HCC patients. The OS of the patients with lower serum DCP levels after TACE was significantly better than the group with higher levels ( P = 0.003). The Cox prognostic model was constructed using four predictors including DCP reactivity ( P = 0.001), modified Response Evaluation Criteria in Solid Tumors (mRECIST, P = 0.005), Child-Pugh class ( P = 0.018), and portal vein thrombosis ( P = 0.039). The C-index of the nomogram for OS of patients after TACE was 0.813. The clinical decision-making net benefits based on the nomogram were better than the decision-making based on the TNM stage system. Conclusion: DCP reactivity and mRECIST are the key predictors of prognosis in HCC patients that received TACE as their initial treatment. The nomogram constructed with these two indicators as the core could predict the OS of HCC patients after TACE and help in clinical decision-making. The aim of this study was to construct a nomogram that will predict the overall survival (OS) of hepatocellular carcinoma (HCC) patients after transarterial chemoembolization (TACE). Imaging data, clinical characteristics, and serum des-γ-carboxy prothrombin (DCP) levels of 93 HCC patients treated with TACE were collected. Lasso regression, random forest, and other methods were used to screen the OS-related variables and construct the Cox prognosis model. The model was visualized by nomogram, and the net benefit of the clinical decision was assessed by decision curve analysis (DCA). It was found that DCP level after TACE was an important predictor of OS in HCC patients. The OS of the patients with lower serum DCP levels after TACE was significantly better than the group with higher levels (P = 0.003). The Cox prognostic model was constructed using four predictors including DCP reactivity (P = 0.001), modified Response Evaluation Criteria in Solid Tumors (mRECIST, P = 0.005), Child-Pugh class (P = 0.018), and portal vein thrombosis (P = 0.039). The C-index of the nomogram for OS of patients after TACE was 0.813. The clinical decision-making net benefits based on the nomogram were better than the decision-making based on the TNM stage system. DCP reactivity and mRECIST are the key predictors of prognosis in HCC patients that received TACE as their initial treatment. The nomogram constructed with these two indicators as the core could predict the OS of HCC patients after TACE and help in clinical decision-making. Aims: The aim of this study was to construct a nomogram that will predict the overall survival (OS) of hepatocellular carcinoma (HCC) patients after transarterial chemoembolization (TACE). Materials and Methods: Imaging data, clinical characteristics, and serum des-γ-carboxy prothrombin (DCP) levels of 93 HCC patients treated with TACE were collected. Lasso regression, random forest, and other methods were used to screen the OS-related variables and construct the Cox prognosis model. The model was visualized by nomogram, and the net benefit of the clinical decision was assessed by decision curve analysis (DCA). Results: It was found that DCP level after TACE was an important predictor of OS in HCC patients. The OS of the patients with lower serum DCP levels after TACE was significantly better than the group with higher levels (P = 0.003). The Cox prognostic model was constructed using four predictors including DCP reactivity (P = 0.001), modified Response Evaluation Criteria in Solid Tumors (mRECIST, P = 0.005), Child-Pugh class (P = 0.018), and portal vein thrombosis (P = 0.039). The C-index of the nomogram for OS of patients after TACE was 0.813. The clinical decision-making net benefits based on the nomogram were better than the decision-making based on the TNM stage system. Conclusion: DCP reactivity and mRECIST are the key predictors of prognosis in HCC patients that received TACE as their initial treatment. The nomogram constructed with these two indicators as the core could predict the OS of HCC patients after TACE and help in clinical decision-making. |
Author | Shi, Rong-Feng Yang, Xiao-Hu Gu, Zhu-Xing Qiu, Li-Wei Zhao, Hui Ni, Cai-Fang Gu, Wei-Wei Zhao, Su-Ming |
Author_xml | – sequence: 1 givenname: Su-Ming surname: Zhao fullname: Zhao, Su-Ming organization: Department of Interventional Radiology, The First Affiliated Hospital of Soochow University; Department of InterventionalRadiology, Affiliated Hospital of Nantong University, Jiangsu – sequence: 2 givenname: Li-Wei surname: Qiu fullname: Qiu, Li-Wei organization: Research Centre of Clinical Medicine, Affiliated Hospital of Nantong University, Jiangsu – sequence: 3 givenname: Hui surname: Zhao fullname: Zhao, Hui organization: Department of Interventional Radiology, Affiliated Hospital of Nantong University, Jiangsu – sequence: 4 givenname: Wei-Wei surname: Gu fullname: Gu, Wei-Wei organization: Department of Interventional Radiology, Affiliated Hospital of Nantong University, Jiangsu – sequence: 5 givenname: Xiao-Hu surname: Yang fullname: Yang, Xiao-Hu organization: Department of Interventional Radiology, Affiliated Hospital of Nantong University, Jiangsu – sequence: 6 givenname: Zhu-Xing surname: Gu fullname: Gu, Zhu-Xing organization: Department of Interventional Radiology, Affiliated Hospital of Nantong University, Jiangsu – sequence: 7 givenname: Rong-Feng surname: Shi fullname: Shi, Rong-Feng organization: Department of Interventional Radiology, Affiliated Hospital of Nantong University, Jiangsu – sequence: 8 givenname: Cai-Fang surname: Ni fullname: Ni, Cai-Fang organization: Department of Interventional Radiology, The First Affiliated Hospital of Soochow University, Jiangsu |
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Snippet | Aims: The aim of this study was to construct a nomogram that will predict the overall survival (OS) of hepatocellular carcinoma (HCC) patients after... The aim of this study was to construct a nomogram that will predict the overall survival (OS) of hepatocellular carcinoma (HCC) patients after transarterial... AIMSThe aim of this study was to construct a nomogram that will predict the overall survival (OS) of hepatocellular carcinoma (HCC) patients after... |
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SubjectTerms | Adult Aged Aged, 80 and over Biomarkers - blood Carcinoma, Hepatocellular - blood Carcinoma, Hepatocellular - diagnosis Carcinoma, Hepatocellular - mortality Carcinoma, Hepatocellular - therapy Chemoembolization Chemoembolization, Therapeutic Clinical decision making Clinical Decision-Making - methods Female Humans Liver cancer Liver Neoplasms - blood Liver Neoplasms - diagnosis Liver Neoplasms - mortality Liver Neoplasms - therapy Male Medical prognosis Middle Aged Nomograms Protein Precursors - blood Prothrombin Response Evaluation Criteria in Solid Tumors Retrospective Studies |
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Title | Prognostic nomogram for hepatocellular carcinoma patients after transarterial chemoembolization based on des-γ-carboxy prothrombin reactivity and modified Response Evaluation Criteria in Solid Tumors |
URI | http://www.cancerjournal.net/article.asp?issn=0973-1482;year=2021;volume=17;issue=3;spage=707;epage=714;aulast=Zhao;type=0 https://www.ncbi.nlm.nih.gov/pubmed/34269303 https://www.proquest.com/docview/2553415778 https://search.proquest.com/docview/2552978310 |
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