Association between insulin resistance related indicators with the prognosis of patients with colorectal cancer

Copyright © 2023 Elsevier Ltd. All rights reserved..

BACKGROUND: The progression of colorectal cancer (CRC) has been linked to metabolism alteration. Because insulin resistance (IR) is the basic mechanism of metabolism alteration, IR related indicators are considered to be associated with prognostic of CRC. In this study, we compared the prognostic values of common IR related indicators for CRC and selected the best one. Moreover, we explored the association between that indicator and CRC prognosis and possible interactive covariates.

METHODS: Medical records of patients with CRC (n = 1765) were retrieved from the Investigation on Nutrition Status and Clinical Outcome of Common Cancers (INSCOC) study. We compared the prognostic values of IR related indicators and select the best one using concordance index (C-index) and area under curve (AUC). Using Cox proportional hazard regression models, we evaluated the association between that indicator and CRC prognosis. Interaction tests were performed to evaluate possible interactions among covariates and the IR related indicator.

RESULTS: Results of C-index and AUC indicated that the ratio of low-density lipoprotein-to-high-density lipoprotein (LHR) showed the highest ability to predict the prognosis of patients with CRC. LHR independently predicted CRC prognosis [hazard ratio (HR) = 1.14; 95 % confidence interval (CI) = 1.05-1.22; P = 0.001]. The interactions between LHR, and age (<65 vs. ≥65; P for interaction = 0.001) or neutrocyte-to-lymphocyte ratio (NLR) (<3 vs. ≥3; P for interaction = 0.055) were also observed.

CONCLUSION: LHR was found to be the best IR related indicators to predict prognosis of CRC, and it was negatively correlated with the prognosis of patients with CRC. NLR and aging might interact with LHR.

Medienart:

E-Artikel

Erscheinungsjahr:

2023

Erschienen:

2023

Enthalten in:

Zur Gesamtaufnahme - volume:87

Enthalten in:

Cancer epidemiology - 87(2023) vom: 01. Dez., Seite 102478

Sprache:

Englisch

Beteiligte Personen:

Yang, Ming [VerfasserIn]
Zhang, Qi [VerfasserIn]
Ge, Yi-Zhong [VerfasserIn]
Tang, Meng [VerfasserIn]
Zhang, Xi [VerfasserIn]
Song, Meng-Meng [VerfasserIn]
Ruan, Guo-Tian [VerfasserIn]
Zhang, Xiao-Wei [VerfasserIn]
Zhang, Kang-Ping [VerfasserIn]
Shi, Han-Ping [VerfasserIn]

Links:

Volltext

Themen:

Biomarker
Colorectal cancer
Insulin resistance
Journal Article
Prognosis
Research Support, Non-U.S. Gov't

Anmerkungen:

Date Completed 01.12.2023

Date Revised 13.03.2024

published: Print-Electronic

ChiCTR: ChiCTR1800020329

Citation Status MEDLINE

doi:

10.1016/j.canep.2023.102478

funding:

Förderinstitution / Projekttitel:

PPN (Katalog-ID):

NLM36349376X