Circulating Lipid- and Inflammation-Based Risk (CLIR) Score: A Promising New Model for Predicting Outcomes in Complete Colorectal Liver Metastases Resection.

Ann Surg Oncol

State Key Laboratory of Oncology in South China, Collaborative Innovation Center for Cancer Medicine, Sun Yat-sen University Cancer Center, Sun Yat-sen University, Guangzhou, 510060, People's Republic of China.

Published: January 2022

AI Article Synopsis

  • Colorectal cancer liver metastasis (CRLM) significantly impacts the survival of patients with colorectal cancer (CRC), leading to the development of a new prognostic tool called the Circulating Lipid- and Inflammation-based Risk (CLIR) score for those undergoing CRLM resection.
  • In a study of 666 CRC patients, key factors affecting overall survival (OS) were identified, including the number and size of metastases, lymph node involvement, and specific serum biomarker levels.
  • The CLIR score was found to be more effective than the existing Fong Clinical Risk Score in predicting patient survival, with different risk categories showing median OS times ranging from 134 months for low-risk to 18.7 months for high

Article Abstract

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.

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Source
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC9174322PMC
http://dx.doi.org/10.1245/s10434-021-11234-0DOI Listing

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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.

Ann Surg Oncol

January 2022

State Key Laboratory of Oncology in South China, Collaborative Innovation Center for Cancer Medicine, Sun Yat-sen University Cancer Center, Sun Yat-sen University, Guangzhou, 510060, People's Republic of China.

Article Synopsis
  • Colorectal cancer liver metastasis (CRLM) significantly impacts the survival of patients with colorectal cancer (CRC), leading to the development of a new prognostic tool called the Circulating Lipid- and Inflammation-based Risk (CLIR) score for those undergoing CRLM resection.
  • In a study of 666 CRC patients, key factors affecting overall survival (OS) were identified, including the number and size of metastases, lymph node involvement, and specific serum biomarker levels.
  • The CLIR score was found to be more effective than the existing Fong Clinical Risk Score in predicting patient survival, with different risk categories showing median OS times ranging from 134 months for low-risk to 18.7 months for high
View Article and Find Full Text PDF

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