{"title":"Preoperative blood neutrophil-to-lymphocyte ratio, hematocrit and fibrinogen predict prognosis in colorectal cancer.","authors":"Bing Luo, Kai Zhang, Ze-Kun Jiang, Ying-Kang Xie, Yi-Xiang Wu, Rong-Chang Wang, Jiong-Qiang Huang, Jing-Song Chen","doi":"10.1080/17520363.2025.2473310","DOIUrl":null,"url":null,"abstract":"<p><strong>Objective: </strong>To investigate the prognostic potential of preoperative blood neutrophil to lymphocyte ratio (NLR), hematocrit (HCT) and Fibrinogen (FIB) level in patients with colorectal cancer (CRC).</p><p><strong>Methods: </strong>The data of 268 patients with CRC who underwent radical surgery from March 2013 to August 2017 in the First Affiliated Hospital of Guangzhou Medical University (Guangzhou, China) were retrospectively collected. The correlations between preoperative blood NLR, HCT and FIB level and the clinicopathologic features and prognosis were explored by Cox regression in the patients with CRC.</p><p><strong>Results: </strong>Univariate and multivariate analyses identified preoperative blood with high NLR (HR = 2.265, 95% CI: 1.437-3.570), low HCT (HR = 1.575, 95% CI: 1.010-2.454), and high FIB (HR = 1.667, 95% CI: 1.067-2.605) as independent predictors of reduced 5-year overall survival (OS). Furthermore, the patients were stratified into high (with 3 predictors), middle (with 2 predictors) and low (with 0 or 1 predictors) risk groups according to the number of the 3 independent prognostic predictors. The more independent predictors a patient has, the poorer their prognosis tends to be.</p><p><strong>Conclusions: </strong>Preoperative NLR, HCT, and FIB serve as cost-effective prognostic biomarkers in CRC. Their combination enables precise risk stratification, guiding personalized postoperative management.</p>","PeriodicalId":9182,"journal":{"name":"Biomarkers in medicine","volume":" ","pages":"1-8"},"PeriodicalIF":1.9000,"publicationDate":"2025-03-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Biomarkers in medicine","FirstCategoryId":"3","ListUrlMain":"https://doi.org/10.1080/17520363.2025.2473310","RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q3","JCRName":"MEDICINE, RESEARCH & EXPERIMENTAL","Score":null,"Total":0}
引用次数: 0
Abstract
Objective: To investigate the prognostic potential of preoperative blood neutrophil to lymphocyte ratio (NLR), hematocrit (HCT) and Fibrinogen (FIB) level in patients with colorectal cancer (CRC).
Methods: The data of 268 patients with CRC who underwent radical surgery from March 2013 to August 2017 in the First Affiliated Hospital of Guangzhou Medical University (Guangzhou, China) were retrospectively collected. The correlations between preoperative blood NLR, HCT and FIB level and the clinicopathologic features and prognosis were explored by Cox regression in the patients with CRC.
Results: Univariate and multivariate analyses identified preoperative blood with high NLR (HR = 2.265, 95% CI: 1.437-3.570), low HCT (HR = 1.575, 95% CI: 1.010-2.454), and high FIB (HR = 1.667, 95% CI: 1.067-2.605) as independent predictors of reduced 5-year overall survival (OS). Furthermore, the patients were stratified into high (with 3 predictors), middle (with 2 predictors) and low (with 0 or 1 predictors) risk groups according to the number of the 3 independent prognostic predictors. The more independent predictors a patient has, the poorer their prognosis tends to be.
Conclusions: Preoperative NLR, HCT, and FIB serve as cost-effective prognostic biomarkers in CRC. Their combination enables precise risk stratification, guiding personalized postoperative management.
期刊介绍:
Biomarkers are physical, functional or biochemical indicators of physiological or disease processes. These key indicators can provide vital information in determining disease prognosis, in predicting of response to therapies, adverse events and drug interactions, and in establishing baseline risk. The explosion of interest in biomarker research is driving the development of new predictive, diagnostic and prognostic products in modern medical practice, and biomarkers are also playing an increasingly important role in the discovery and development of new drugs. For the full utility of biomarkers to be realized, we require greater understanding of disease mechanisms, and the interplay between disease mechanisms, therapeutic interventions and the proposed biomarkers. However, in attempting to evaluate the pros and cons of biomarkers systematically, we are moving into new, challenging territory.
Biomarkers in Medicine (ISSN 1752-0363) is a peer-reviewed, rapid publication journal delivering commentary and analysis on the advances in our understanding of biomarkers and their potential and actual applications in medicine. The journal facilitates translation of our research knowledge into the clinic to increase the effectiveness of medical practice.
As the scientific rationale and regulatory acceptance for biomarkers in medicine and in drug development become more fully established, Biomarkers in Medicine provides the platform for all players in this increasingly vital area to communicate and debate all issues relating to the potential utility and applications.
Each issue includes a diversity of content to provide rounded coverage for the research professional. Articles include Guest Editorials, Interviews, Reviews, Research Articles, Perspectives, Priority Paper Evaluations, Special Reports, Case Reports, Conference Reports and Company Profiles. Review coverage is divided into themed sections according to area of therapeutic utility with some issues including themed sections on an area of topical interest.
Biomarkers in Medicine provides a platform for commentary and debate for all professionals with an interest in the identification of biomarkers, elucidation of their role and formalization and approval of their application in modern medicine. The audience for Biomarkers in Medicine includes academic and industrial researchers, clinicians, pathologists, clinical chemists and regulatory professionals.