» Articles » PMID: 33215031

Prognostic Values of Preoperative Inflammatory and Nutritional Markers for Colorectal Cancer

Overview
Journal Front Oncol
Specialty Oncology
Date 2020 Nov 20
PMID 33215031
Citations 7
Authors
Affiliations
Soon will be listed here.
Abstract

Background: Increasing evidence indicates that inflammation and nutritional status are associated with survival outcomes in patients with colorectal cancer (CRC). This study aimed to investigate the prognostic values of preoperative inflammatory and nutritional factors and develop a prognostic model individually predicting overall survival (OS) and disease-free survival (DFS) in patients with CRC.

Methods: We retrospectively collected data on patients with CRC who underwent radical surgery. Independent prognostic inflammatory and nutritional markers were identified and novel prognostic models were developed incorporating the identified factors. The discriminative ability and model-fitting performance were evaluated by receiver operating characteristic curves and Akaike information criteria. Clinical usefulness was assessed by decision curve analysis.

Results: A total of 400 eligible patients were identified. Multivariate analysis identified pN stage, tumor differentiation grade, neutrophil count, and body mass index as independent prognostic factors for OS, and pN stage, tumor differentiation grade, neutrophil count, neutrophil-lymphocyte ratio, and serum albumin as prognostic factors for DFS. The combined inflammatory and nutritional prognostic model showed better discriminative ability, model-fitting performance, and net benefits than the inflammatory and nutritional models alone, and the American Joint Committee on Cancer (AJCC) 8th TNM classification for predicting OS and DFS.

Conclusion: Preoperative nutritional and inflammatory factors have significant prognostic value in patients with CRC. A novel prognostic model incorporating preoperative inflammatory and nutritional markers provides better prognostic performance than the AJCC 8th TNM classification. A novel nomogram incorporating preoperative inflammatory and nutritional markers can individually predict OS and DFS in patients with CRC.

Citing Articles

Optimal cutpoint of preoperative neutrophil-lymphocyte ratio and associated postoperative prognosis in colorectal cancer patients.

Chiu T, Liu T, Chang C, Hu W Int J Colorectal Dis. 2025; 40(1):55.

PMID: 40009243 PMC: 11865130. DOI: 10.1007/s00384-025-04839-4.


[Predictive Value of Prognostic Nutritional Index in Prognosis and 
Spontaneous Pleurodesis of Patients with Advanced Non-small Cell Lung Cancer 
and Malignant Pleural Effusion].

Tan S, Li W, Tian P Zhongguo Fei Ai Za Zhi. 2025; 27(12):931-939.

PMID: 39962848 PMC: 11843482. DOI: 10.3779/j.issn.1009-3419.2024.106.33.


Development and validation of a web-based predictive model for preoperative diagnosis of localized colorectal cancer and colorectal adenoma.

Lu Y, Guo H, Jiang J Front Oncol. 2023; 13:1199868.

PMID: 37664051 PMC: 10470828. DOI: 10.3389/fonc.2023.1199868.


Increased Kremen2 predicts worse prognosis in colon cancer.

Long J, Cong F, Wei Y, Liu J, Tang W Pathol Oncol Res. 2023; 29:1611082.

PMID: 37123533 PMC: 10130194. DOI: 10.3389/pore.2023.1611082.


Mid-Arm Muscle Circumference or Body Weight-Standardized Hand Grip Strength in the GLIM Superiorly Predicts Survival in Chinese Colorectal Cancer Patients.

Wu T, Xu H, Zou Y, Cui J, Xu K, Zhou M Nutrients. 2022; 14(23).

PMID: 36501196 PMC: 9739446. DOI: 10.3390/nu14235166.


References
1.
Ronnow C, Arthursson V, Toth E, Krarup P, Syk I, Thorlacius H . Lymphovascular Infiltration, Not Depth of Invasion, is the Critical Risk Factor of Metastases in Early Colorectal Cancer: Retrospective Population-based Cohort Study on Prospectively Collected Data, Including Validation. Ann Surg. 2020; 275(1):e148-e154. DOI: 10.1097/SLA.0000000000003854. View

2.
Yeung S, Hilkewich L, Gillis C, Heine J, Fenton T . Protein intakes are associated with reduced length of stay: a comparison between Enhanced Recovery After Surgery (ERAS) and conventional care after elective colorectal surgery. Am J Clin Nutr. 2017; 106(1):44-51. DOI: 10.3945/ajcn.116.148619. View

3.
Nagtegaal I, Knijn N, Hugen N, Marshall H, Sugihara K, Tot T . Tumor Deposits in Colorectal Cancer: Improving the Value of Modern Staging-A Systematic Review and Meta-Analysis. J Clin Oncol. 2016; 35(10):1119-1127. DOI: 10.1200/JCO.2016.68.9091. View

4.
Sjoquist K, Renfro L, Simes R, Tebbutt N, Clarke S, Seymour M . Personalizing Survival Predictions in Advanced Colorectal Cancer: The ARCAD Nomogram Project. J Natl Cancer Inst. 2017; 110(6):638-648. PMC: 6005015. DOI: 10.1093/jnci/djx253. View

5.
Houghton A, Rzymkiewicz D, Ji H, Gregory A, Egea E, Metz H . Neutrophil elastase-mediated degradation of IRS-1 accelerates lung tumor growth. Nat Med. 2010; 16(2):219-23. PMC: 2821801. DOI: 10.1038/nm.2084. View