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Preoperative Serum Markers and Risk Classification in Intrahepatic Cholangiocarcinoma: A Multicenter Retrospective Study

SIMPLE SUMMARY: We were able to stratify intrahepatic cholangiocellular carcinoma (ICC) patients who underwent hepatectomy into three risk groups using a classification and regression tree (CART) model for recurrence-free survival (RFS) and overall survival (OS). CART analysis, using results from th...

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Autores principales: Kaibori, Masaki, Yoshii, Kengo, Kosaka, Hisashi, Ota, Masato, Komeda, Koji, Ueno, Masaki, Hokutou, Daisuke, Iida, Hiroya, Matsui, Kosuke, Sekimoto, Mitsugu
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9658667/
https://www.ncbi.nlm.nih.gov/pubmed/36358877
http://dx.doi.org/10.3390/cancers14215459
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author Kaibori, Masaki
Yoshii, Kengo
Kosaka, Hisashi
Ota, Masato
Komeda, Koji
Ueno, Masaki
Hokutou, Daisuke
Iida, Hiroya
Matsui, Kosuke
Sekimoto, Mitsugu
author_facet Kaibori, Masaki
Yoshii, Kengo
Kosaka, Hisashi
Ota, Masato
Komeda, Koji
Ueno, Masaki
Hokutou, Daisuke
Iida, Hiroya
Matsui, Kosuke
Sekimoto, Mitsugu
author_sort Kaibori, Masaki
collection PubMed
description SIMPLE SUMMARY: We were able to stratify intrahepatic cholangiocellular carcinoma (ICC) patients who underwent hepatectomy into three risk groups using a classification and regression tree (CART) model for recurrence-free survival (RFS) and overall survival (OS). CART analysis, using results from the multivariate analysis, revealed decision trees for RFS and OS based on machine learning using preoperative serum markers. These three risk classifications using preoperative noninvasive prognostic factors could predict prognosis for ICC. These risk classifications are simple and easy to understand and can be clinically applied. ABSTRACT: Accurate risk stratification selects patients who are expected to benefit most from surgery. This retrospective study enrolled 225 Japanese patients with intrahepatic cholangiocellular carcinoma (ICC) who underwent hepatectomy between January 2009 and December 2020 and identified preoperative blood test biomarkers to formulate a classification system that predicted prognosis. The optimal cut-off values of blood test parameters were determined by ROC curve analysis, with Cox univariate and multivariate analyses identifying prognostic factors. Risk classifications were established using classification and regression tree (CART) analysis. CART analysis revealed decision trees for recurrence-free survival (RFS) and overall survival (OS) and created three risk classifications based on machine learning of preoperative serum markers. Five-year rates differed significantly (p < 0.001) between groups: 60.4% (low-risk), 22.8% (moderate-risk), and 4.1% (high-risk) for RFS and 69.2% (low-risk), 32.3% (moderate-risk), and 9.2% (high-risk) for OS. No difference in OS was observed between patients in the low-risk group with or without postoperative adjuvant chemotherapy, although OS improved in the moderate group and was prolonged significantly in the high-risk group receiving chemotherapy. Stratification of patients with ICC who underwent hepatectomy into three risk groups for RFS and OS identified preoperative prognostic factors that predicted prognosis and were easy to understand and apply clinically.
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spelling pubmed-96586672022-11-15 Preoperative Serum Markers and Risk Classification in Intrahepatic Cholangiocarcinoma: A Multicenter Retrospective Study Kaibori, Masaki Yoshii, Kengo Kosaka, Hisashi Ota, Masato Komeda, Koji Ueno, Masaki Hokutou, Daisuke Iida, Hiroya Matsui, Kosuke Sekimoto, Mitsugu Cancers (Basel) Article SIMPLE SUMMARY: We were able to stratify intrahepatic cholangiocellular carcinoma (ICC) patients who underwent hepatectomy into three risk groups using a classification and regression tree (CART) model for recurrence-free survival (RFS) and overall survival (OS). CART analysis, using results from the multivariate analysis, revealed decision trees for RFS and OS based on machine learning using preoperative serum markers. These three risk classifications using preoperative noninvasive prognostic factors could predict prognosis for ICC. These risk classifications are simple and easy to understand and can be clinically applied. ABSTRACT: Accurate risk stratification selects patients who are expected to benefit most from surgery. This retrospective study enrolled 225 Japanese patients with intrahepatic cholangiocellular carcinoma (ICC) who underwent hepatectomy between January 2009 and December 2020 and identified preoperative blood test biomarkers to formulate a classification system that predicted prognosis. The optimal cut-off values of blood test parameters were determined by ROC curve analysis, with Cox univariate and multivariate analyses identifying prognostic factors. Risk classifications were established using classification and regression tree (CART) analysis. CART analysis revealed decision trees for recurrence-free survival (RFS) and overall survival (OS) and created three risk classifications based on machine learning of preoperative serum markers. Five-year rates differed significantly (p < 0.001) between groups: 60.4% (low-risk), 22.8% (moderate-risk), and 4.1% (high-risk) for RFS and 69.2% (low-risk), 32.3% (moderate-risk), and 9.2% (high-risk) for OS. No difference in OS was observed between patients in the low-risk group with or without postoperative adjuvant chemotherapy, although OS improved in the moderate group and was prolonged significantly in the high-risk group receiving chemotherapy. Stratification of patients with ICC who underwent hepatectomy into three risk groups for RFS and OS identified preoperative prognostic factors that predicted prognosis and were easy to understand and apply clinically. MDPI 2022-11-07 /pmc/articles/PMC9658667/ /pubmed/36358877 http://dx.doi.org/10.3390/cancers14215459 Text en © 2022 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
Kaibori, Masaki
Yoshii, Kengo
Kosaka, Hisashi
Ota, Masato
Komeda, Koji
Ueno, Masaki
Hokutou, Daisuke
Iida, Hiroya
Matsui, Kosuke
Sekimoto, Mitsugu
Preoperative Serum Markers and Risk Classification in Intrahepatic Cholangiocarcinoma: A Multicenter Retrospective Study
title Preoperative Serum Markers and Risk Classification in Intrahepatic Cholangiocarcinoma: A Multicenter Retrospective Study
title_full Preoperative Serum Markers and Risk Classification in Intrahepatic Cholangiocarcinoma: A Multicenter Retrospective Study
title_fullStr Preoperative Serum Markers and Risk Classification in Intrahepatic Cholangiocarcinoma: A Multicenter Retrospective Study
title_full_unstemmed Preoperative Serum Markers and Risk Classification in Intrahepatic Cholangiocarcinoma: A Multicenter Retrospective Study
title_short Preoperative Serum Markers and Risk Classification in Intrahepatic Cholangiocarcinoma: A Multicenter Retrospective Study
title_sort preoperative serum markers and risk classification in intrahepatic cholangiocarcinoma: a multicenter retrospective study
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9658667/
https://www.ncbi.nlm.nih.gov/pubmed/36358877
http://dx.doi.org/10.3390/cancers14215459
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