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A Nomogram-Based Prognostic Model for Advanced Hepatocellular Carcinoma Patients Treated with Sorafenib: A Multicenter Study
SIMPLE SUMMARY: Accurate prognostic systems capable of predicting the survival of patients with advanced hepatocellular carcinoma undergoing Sorafenib therapy are still lacking. The search for the ideal predictive tool for survival and drug response is justified by the recent availability of several...
Autores principales: | , , , , , , , , , , , , , , , , , , , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2021
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8199276/ https://www.ncbi.nlm.nih.gov/pubmed/34072309 http://dx.doi.org/10.3390/cancers13112677 |
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author | Marasco, Giovanni Poggioli, Francesco Colecchia, Antonio Cabibbo, Giuseppe Pelizzaro, Filippo Giannini, Edoardo Giovanni Marinelli, Sara Rapaccini, Gian Ludovico Caturelli, Eugenio Di Marco, Mariella Biasini, Elisabetta Marra, Fabio Morisco, Filomena Foschi, Francesco Giuseppe Zoli, Marco Gasbarrini, Antonio Svegliati Baroni, Gianluca Masotto, Alberto Sacco, Rodolfo Raimondo, Giovanni Azzaroli, Francesco Mega, Andrea Vidili, Gianpaolo Brunetto, Maurizia Rossana Nardone, Gerardo Alemanni, Luigina Vanessa Dajti, Elton Ravaioli, Federico Festi, Davide Trevisani, Franco |
author_facet | Marasco, Giovanni Poggioli, Francesco Colecchia, Antonio Cabibbo, Giuseppe Pelizzaro, Filippo Giannini, Edoardo Giovanni Marinelli, Sara Rapaccini, Gian Ludovico Caturelli, Eugenio Di Marco, Mariella Biasini, Elisabetta Marra, Fabio Morisco, Filomena Foschi, Francesco Giuseppe Zoli, Marco Gasbarrini, Antonio Svegliati Baroni, Gianluca Masotto, Alberto Sacco, Rodolfo Raimondo, Giovanni Azzaroli, Francesco Mega, Andrea Vidili, Gianpaolo Brunetto, Maurizia Rossana Nardone, Gerardo Alemanni, Luigina Vanessa Dajti, Elton Ravaioli, Federico Festi, Davide Trevisani, Franco |
author_sort | Marasco, Giovanni |
collection | PubMed |
description | SIMPLE SUMMARY: Accurate prognostic systems capable of predicting the survival of patients with advanced hepatocellular carcinoma undergoing Sorafenib therapy are still lacking. The search for the ideal predictive tool for survival and drug response is justified by the recent availability of several other drugs effective for these patients, licensed as first- and second-line treatment, other than reducing adverse events and costs. In this study, we aimed to identify simple demographic and clinical parameters able to predict survival and Sorafenib response in a large multicenter cohort. In this study, we showed that patient’s general status, liver function and damage laboratory parameters and HCC aggressiveness were associated with the outcome of Sorafenib therapy. Two predictive nomograms, helping clinicians in the therapeutic choice, were additionally created. ABSTRACT: Among scores and staging systems used for HCC, none showed a good prognostic ability in patients with advanced HCC treated with Sorafenib. We aimed to evaluate predictive factors of overall survival (OS) and drug response in HCC patients undergoing Sorafenib included in the Italian Liver Cancer (ITA.LI.CA.) multicenter cohort. Patients in the ITA.LI.CA database treated with Sorafenib and updated on 30 June 2019 were included. Demographic and clinical data before starting Sorafenib treatment were considered. For the evaluation of predictive factors for OS, a time-dependent Cox proportional hazard model was used. A total of 1107 patients were included in our analysis. The mean age was 64.3 years and 81.7% were male. Most patients were staged as BCLC B (205, 18.9%) or C (706, 65.1%). The median time of Sorafenib administration was 4 months (interquartile range (IQR) 2–12), and the median OS was 10 months (IQR: 4–20). A total of 263 patients (33.8%) out of 780 with available evaluation experienced objective tumoral response to Sorafenib. The Eastern Cooperative Oncology Group (ECOG) Performance Status (PS) (hazard ratio (HR) 1.284), maximum tumoral diameter (HR 1.100), plasma total bilirubin (HR 1.119), aspartate amino transferase assessed as multiple of the upper normal value (HR 1.032), alpha-fetoprotein ≥200 ng/mL (HR 1.342), hemoglobin (HR 0.903) and platelet count (HR 1.002) were associated with OS at multivariate Cox regression analysis. Drug response was predicted by maximum tumoral diameter and platelet count. A novel prognostic nomogram for patients undergoing Sorafenib is hereby proposed. The novelty introduced is the comprehensive patient’s assessment using common markers of patient’s general status, liver damage and function and HCC biology. Further studies are required to test its accuracy and provide external validation. |
format | Online Article Text |
id | pubmed-8199276 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | MDPI |
record_format | MEDLINE/PubMed |
spelling | pubmed-81992762021-06-14 A Nomogram-Based Prognostic Model for Advanced Hepatocellular Carcinoma Patients Treated with Sorafenib: A Multicenter Study Marasco, Giovanni Poggioli, Francesco Colecchia, Antonio Cabibbo, Giuseppe Pelizzaro, Filippo Giannini, Edoardo Giovanni Marinelli, Sara Rapaccini, Gian Ludovico Caturelli, Eugenio Di Marco, Mariella Biasini, Elisabetta Marra, Fabio Morisco, Filomena Foschi, Francesco Giuseppe Zoli, Marco Gasbarrini, Antonio Svegliati Baroni, Gianluca Masotto, Alberto Sacco, Rodolfo Raimondo, Giovanni Azzaroli, Francesco Mega, Andrea Vidili, Gianpaolo Brunetto, Maurizia Rossana Nardone, Gerardo Alemanni, Luigina Vanessa Dajti, Elton Ravaioli, Federico Festi, Davide Trevisani, Franco Cancers (Basel) Article SIMPLE SUMMARY: Accurate prognostic systems capable of predicting the survival of patients with advanced hepatocellular carcinoma undergoing Sorafenib therapy are still lacking. The search for the ideal predictive tool for survival and drug response is justified by the recent availability of several other drugs effective for these patients, licensed as first- and second-line treatment, other than reducing adverse events and costs. In this study, we aimed to identify simple demographic and clinical parameters able to predict survival and Sorafenib response in a large multicenter cohort. In this study, we showed that patient’s general status, liver function and damage laboratory parameters and HCC aggressiveness were associated with the outcome of Sorafenib therapy. Two predictive nomograms, helping clinicians in the therapeutic choice, were additionally created. ABSTRACT: Among scores and staging systems used for HCC, none showed a good prognostic ability in patients with advanced HCC treated with Sorafenib. We aimed to evaluate predictive factors of overall survival (OS) and drug response in HCC patients undergoing Sorafenib included in the Italian Liver Cancer (ITA.LI.CA.) multicenter cohort. Patients in the ITA.LI.CA database treated with Sorafenib and updated on 30 June 2019 were included. Demographic and clinical data before starting Sorafenib treatment were considered. For the evaluation of predictive factors for OS, a time-dependent Cox proportional hazard model was used. A total of 1107 patients were included in our analysis. The mean age was 64.3 years and 81.7% were male. Most patients were staged as BCLC B (205, 18.9%) or C (706, 65.1%). The median time of Sorafenib administration was 4 months (interquartile range (IQR) 2–12), and the median OS was 10 months (IQR: 4–20). A total of 263 patients (33.8%) out of 780 with available evaluation experienced objective tumoral response to Sorafenib. The Eastern Cooperative Oncology Group (ECOG) Performance Status (PS) (hazard ratio (HR) 1.284), maximum tumoral diameter (HR 1.100), plasma total bilirubin (HR 1.119), aspartate amino transferase assessed as multiple of the upper normal value (HR 1.032), alpha-fetoprotein ≥200 ng/mL (HR 1.342), hemoglobin (HR 0.903) and platelet count (HR 1.002) were associated with OS at multivariate Cox regression analysis. Drug response was predicted by maximum tumoral diameter and platelet count. A novel prognostic nomogram for patients undergoing Sorafenib is hereby proposed. The novelty introduced is the comprehensive patient’s assessment using common markers of patient’s general status, liver damage and function and HCC biology. Further studies are required to test its accuracy and provide external validation. MDPI 2021-05-29 /pmc/articles/PMC8199276/ /pubmed/34072309 http://dx.doi.org/10.3390/cancers13112677 Text en © 2021 by the authors. https://creativecommons.org/licenses/by/4.0/Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/). |
spellingShingle | Article Marasco, Giovanni Poggioli, Francesco Colecchia, Antonio Cabibbo, Giuseppe Pelizzaro, Filippo Giannini, Edoardo Giovanni Marinelli, Sara Rapaccini, Gian Ludovico Caturelli, Eugenio Di Marco, Mariella Biasini, Elisabetta Marra, Fabio Morisco, Filomena Foschi, Francesco Giuseppe Zoli, Marco Gasbarrini, Antonio Svegliati Baroni, Gianluca Masotto, Alberto Sacco, Rodolfo Raimondo, Giovanni Azzaroli, Francesco Mega, Andrea Vidili, Gianpaolo Brunetto, Maurizia Rossana Nardone, Gerardo Alemanni, Luigina Vanessa Dajti, Elton Ravaioli, Federico Festi, Davide Trevisani, Franco A Nomogram-Based Prognostic Model for Advanced Hepatocellular Carcinoma Patients Treated with Sorafenib: A Multicenter Study |
title | A Nomogram-Based Prognostic Model for Advanced Hepatocellular Carcinoma Patients Treated with Sorafenib: A Multicenter Study |
title_full | A Nomogram-Based Prognostic Model for Advanced Hepatocellular Carcinoma Patients Treated with Sorafenib: A Multicenter Study |
title_fullStr | A Nomogram-Based Prognostic Model for Advanced Hepatocellular Carcinoma Patients Treated with Sorafenib: A Multicenter Study |
title_full_unstemmed | A Nomogram-Based Prognostic Model for Advanced Hepatocellular Carcinoma Patients Treated with Sorafenib: A Multicenter Study |
title_short | A Nomogram-Based Prognostic Model for Advanced Hepatocellular Carcinoma Patients Treated with Sorafenib: A Multicenter Study |
title_sort | nomogram-based prognostic model for advanced hepatocellular carcinoma patients treated with sorafenib: a multicenter study |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8199276/ https://www.ncbi.nlm.nih.gov/pubmed/34072309 http://dx.doi.org/10.3390/cancers13112677 |
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