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Circulating Lipid- and Inflammation-Based Risk (CLIR) Score: A Promising New Model for Predicting Outcomes in Complete Colorectal Liver Metastases Resection
BACKGROUND: Colorectal cancer liver metastasis (CRLM) is a determining factor affecting the survival of colorectal cancer (CRC) patients. This study aims at developing a novel prognostic stratification tool for CRLM resection. METHODS: In this retrospective study, 666 CRC patients who underwent comp...
Autores principales: | , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Springer International Publishing
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9174322/ https://www.ncbi.nlm.nih.gov/pubmed/35254582 http://dx.doi.org/10.1245/s10434-021-11234-0 |
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author | Bai, Long Yan, Xiao-Luan Lu, Yun-Xin Meng, Qi Rong, Yu-Ming Ye, Liu-Fang Pan, Zhi-Zhong Xing, Bao-Cai Wang, De-Shen |
author_facet | Bai, Long Yan, Xiao-Luan Lu, Yun-Xin Meng, Qi Rong, Yu-Ming Ye, Liu-Fang Pan, Zhi-Zhong Xing, Bao-Cai Wang, De-Shen |
author_sort | Bai, Long |
collection | PubMed |
description | BACKGROUND: Colorectal cancer liver metastasis (CRLM) is a determining factor affecting the survival of colorectal cancer (CRC) patients. This study aims at developing a novel prognostic stratification tool for CRLM resection. METHODS: In this retrospective study, 666 CRC patients who underwent complete CRLM resection from two Chinese medical institutions between 2001 and 2016 were classified into the training (341 patients) and validation (325 patients) cohorts. The primary endpoint was overall survival (OS). Associations between clinicopathological variables, circulating lipid and inflammation biomarkers, and OS were explored. The five most significant prognostic factors were incorporated into the Circulating Lipid- and Inflammation-based Risk (CLIR) score. The predictive ability of the CLIR score and Fong’s Clinical Risk Score (CRS) was compared by time-dependent receiver operating characteristic (ROC) analysis. RESULTS: Five independent predictors associated with worse OS were identified in the training cohort: number of CRLMs >4, maximum diameter of CRLM >4.4 cm, primary lymph node-positive, serum lactate dehydrogenase (LDH) level >250.5 U/L, and serum low-density lipoprotein-cholesterol (LDL-C)/high-density lipoprotein-cholesterol (HDL-C) ratio >2.9. These predictors were included in the CLIR score and each factor was assigned one point. Median OS for the low (score 0–1)-, intermediate (score 2–3)-, and high (score 4–5)-risk groups was 134.0 months, 39.9 months, and 18.7 months in the pooled cohort. The CLIR score outperformed the Fong score with superior discriminatory capacities for OS and RFS, both in the training and validation cohorts. CONCLUSIONS: The CLIR score demonstrated a promising ability to predict the long-term survival of CRC patients after complete hepatic resection. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1245/s10434-021-11234-0. |
format | Online Article Text |
id | pubmed-9174322 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | Springer International Publishing |
record_format | MEDLINE/PubMed |
spelling | pubmed-91743222022-06-09 Circulating Lipid- and Inflammation-Based Risk (CLIR) Score: A Promising New Model for Predicting Outcomes in Complete Colorectal Liver Metastases Resection Bai, Long Yan, Xiao-Luan Lu, Yun-Xin Meng, Qi Rong, Yu-Ming Ye, Liu-Fang Pan, Zhi-Zhong Xing, Bao-Cai Wang, De-Shen Ann Surg Oncol Hepatobiliary Tumors BACKGROUND: Colorectal cancer liver metastasis (CRLM) is a determining factor affecting the survival of colorectal cancer (CRC) patients. This study aims at developing a novel prognostic stratification tool for CRLM resection. METHODS: In this retrospective study, 666 CRC patients who underwent complete CRLM resection from two Chinese medical institutions between 2001 and 2016 were classified into the training (341 patients) and validation (325 patients) cohorts. The primary endpoint was overall survival (OS). Associations between clinicopathological variables, circulating lipid and inflammation biomarkers, and OS were explored. The five most significant prognostic factors were incorporated into the Circulating Lipid- and Inflammation-based Risk (CLIR) score. The predictive ability of the CLIR score and Fong’s Clinical Risk Score (CRS) was compared by time-dependent receiver operating characteristic (ROC) analysis. RESULTS: Five independent predictors associated with worse OS were identified in the training cohort: number of CRLMs >4, maximum diameter of CRLM >4.4 cm, primary lymph node-positive, serum lactate dehydrogenase (LDH) level >250.5 U/L, and serum low-density lipoprotein-cholesterol (LDL-C)/high-density lipoprotein-cholesterol (HDL-C) ratio >2.9. These predictors were included in the CLIR score and each factor was assigned one point. Median OS for the low (score 0–1)-, intermediate (score 2–3)-, and high (score 4–5)-risk groups was 134.0 months, 39.9 months, and 18.7 months in the pooled cohort. The CLIR score outperformed the Fong score with superior discriminatory capacities for OS and RFS, both in the training and validation cohorts. CONCLUSIONS: The CLIR score demonstrated a promising ability to predict the long-term survival of CRC patients after complete hepatic resection. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1245/s10434-021-11234-0. Springer International Publishing 2022-01-04 2022 /pmc/articles/PMC9174322/ /pubmed/35254582 http://dx.doi.org/10.1245/s10434-021-11234-0 Text en © The Author(s) 2022 https://creativecommons.org/licenses/by/4.0/Open AccessThis article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) . |
spellingShingle | Hepatobiliary Tumors Bai, Long Yan, Xiao-Luan Lu, Yun-Xin Meng, Qi Rong, Yu-Ming Ye, Liu-Fang Pan, Zhi-Zhong Xing, Bao-Cai Wang, De-Shen Circulating Lipid- and Inflammation-Based Risk (CLIR) Score: A Promising New Model for Predicting Outcomes in Complete Colorectal Liver Metastases Resection |
title | Circulating Lipid- and Inflammation-Based Risk (CLIR) Score: A Promising New Model for Predicting Outcomes in Complete Colorectal Liver Metastases Resection |
title_full | Circulating Lipid- and Inflammation-Based Risk (CLIR) Score: A Promising New Model for Predicting Outcomes in Complete Colorectal Liver Metastases Resection |
title_fullStr | Circulating Lipid- and Inflammation-Based Risk (CLIR) Score: A Promising New Model for Predicting Outcomes in Complete Colorectal Liver Metastases Resection |
title_full_unstemmed | Circulating Lipid- and Inflammation-Based Risk (CLIR) Score: A Promising New Model for Predicting Outcomes in Complete Colorectal Liver Metastases Resection |
title_short | Circulating Lipid- and Inflammation-Based Risk (CLIR) Score: A Promising New Model for Predicting Outcomes in Complete Colorectal Liver Metastases Resection |
title_sort | circulating lipid- and inflammation-based risk (clir) score: a promising new model for predicting outcomes in complete colorectal liver metastases resection |
topic | Hepatobiliary Tumors |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9174322/ https://www.ncbi.nlm.nih.gov/pubmed/35254582 http://dx.doi.org/10.1245/s10434-021-11234-0 |
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