Preoperative inflammation and nutrition-based comprehensive biomarker for predicting prognosis in resectable colorectal cancer

BackgroundColorectal cancer (CRC) remains a major global health concern, with significant morbidity and mortality rates. In this study, we aimed to develop a comprehensive blood indicator based on systemic inflammation and nutritional condition to predict the prognosis of resectable CRC patients.Met...

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Main Authors: Hao Cai, Jiancheng Li, Yu Chen, Qiao Zhang, Yang Liu, Houjun Jia
Format: Article
Language:English
Published: Frontiers Media S.A. 2023-11-01
Series:Frontiers in Oncology
Subjects:
Online Access:https://www.frontiersin.org/articles/10.3389/fonc.2023.1279487/full
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author Hao Cai
Jiancheng Li
Yu Chen
Qiao Zhang
Yang Liu
Houjun Jia
author_facet Hao Cai
Jiancheng Li
Yu Chen
Qiao Zhang
Yang Liu
Houjun Jia
author_sort Hao Cai
collection DOAJ
description BackgroundColorectal cancer (CRC) remains a major global health concern, with significant morbidity and mortality rates. In this study, we aimed to develop a comprehensive blood indicator based on systemic inflammation and nutritional condition to predict the prognosis of resectable CRC patients.MethodsA retrospective cohort of 210 CRC patients who underwent radical resection at the First Affiliated Hospital of Chongqing Medical University, China, between January 2015 and December 2017, was included in the analysis. Baseline characteristics, preoperative blood markers, including neutrophil count, monocyte count, lymphocyte count, platelets, albumin, and CEA were retrospectively reviewed. Various blood indicators, such as NLR, PLR, MLR, SIRI and OPNI were calculated. The least absolute shrinkage and selection operator (LASSO) method was employed to select indicators to establish a novel comprehensive biomarker (named PSI). Kaplan-Meier survival curves and log-rank tests were used to evaluate the prognostic impact of preoperative OPNI, SIRI, and PSI. Univariate and multivariate Cox regression model were conducted to identify independent prognostic factors for CRC. The receiver operating characteristic (ROC) method assessed the predictive ability of PSI, stage, OPNI, and SIRI.ResultsPatients with higher preoperative OPNI and lower SIRI values had significantly better overall survival (OS). PSI was identified as an independent prognostic factor for OS in both univariate and multivariate analysis. Patients with medium (28.3-43.4) and high (>43.4) PSI scores exhibited superior OS compared to those with low (≤ 28.3) PSI scores. PSI showed higher predictive ability (AUC: 0.734) than individual indicators alone (OPNI: 0.721, SIRI: 0.645, stage: 0.635).ConclusionThe novel indicator, PSI, based on preoperative SIRI and OPNI, demonstrated significant prognostic value for resectable CRC patients. PSI outperformed individual indicators and could serve as a reliable tool for prognostic evaluation in CRC patients.
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spelling doaj.art-934bee262af243c9b4bc58f5f0d39eec2023-11-22T21:49:58ZengFrontiers Media S.A.Frontiers in Oncology2234-943X2023-11-011310.3389/fonc.2023.12794871279487Preoperative inflammation and nutrition-based comprehensive biomarker for predicting prognosis in resectable colorectal cancerHao CaiJiancheng LiYu ChenQiao ZhangYang LiuHoujun JiaBackgroundColorectal cancer (CRC) remains a major global health concern, with significant morbidity and mortality rates. In this study, we aimed to develop a comprehensive blood indicator based on systemic inflammation and nutritional condition to predict the prognosis of resectable CRC patients.MethodsA retrospective cohort of 210 CRC patients who underwent radical resection at the First Affiliated Hospital of Chongqing Medical University, China, between January 2015 and December 2017, was included in the analysis. Baseline characteristics, preoperative blood markers, including neutrophil count, monocyte count, lymphocyte count, platelets, albumin, and CEA were retrospectively reviewed. Various blood indicators, such as NLR, PLR, MLR, SIRI and OPNI were calculated. The least absolute shrinkage and selection operator (LASSO) method was employed to select indicators to establish a novel comprehensive biomarker (named PSI). Kaplan-Meier survival curves and log-rank tests were used to evaluate the prognostic impact of preoperative OPNI, SIRI, and PSI. Univariate and multivariate Cox regression model were conducted to identify independent prognostic factors for CRC. The receiver operating characteristic (ROC) method assessed the predictive ability of PSI, stage, OPNI, and SIRI.ResultsPatients with higher preoperative OPNI and lower SIRI values had significantly better overall survival (OS). PSI was identified as an independent prognostic factor for OS in both univariate and multivariate analysis. Patients with medium (28.3-43.4) and high (>43.4) PSI scores exhibited superior OS compared to those with low (≤ 28.3) PSI scores. PSI showed higher predictive ability (AUC: 0.734) than individual indicators alone (OPNI: 0.721, SIRI: 0.645, stage: 0.635).ConclusionThe novel indicator, PSI, based on preoperative SIRI and OPNI, demonstrated significant prognostic value for resectable CRC patients. PSI outperformed individual indicators and could serve as a reliable tool for prognostic evaluation in CRC patients.https://www.frontiersin.org/articles/10.3389/fonc.2023.1279487/fullcolorectal cancerOnodera’ s prognostic nutritional indexprognosissystemic inflammation response indexhematological markers
spellingShingle Hao Cai
Jiancheng Li
Yu Chen
Qiao Zhang
Yang Liu
Houjun Jia
Preoperative inflammation and nutrition-based comprehensive biomarker for predicting prognosis in resectable colorectal cancer
Frontiers in Oncology
colorectal cancer
Onodera’ s prognostic nutritional index
prognosis
systemic inflammation response index
hematological markers
title Preoperative inflammation and nutrition-based comprehensive biomarker for predicting prognosis in resectable colorectal cancer
title_full Preoperative inflammation and nutrition-based comprehensive biomarker for predicting prognosis in resectable colorectal cancer
title_fullStr Preoperative inflammation and nutrition-based comprehensive biomarker for predicting prognosis in resectable colorectal cancer
title_full_unstemmed Preoperative inflammation and nutrition-based comprehensive biomarker for predicting prognosis in resectable colorectal cancer
title_short Preoperative inflammation and nutrition-based comprehensive biomarker for predicting prognosis in resectable colorectal cancer
title_sort preoperative inflammation and nutrition based comprehensive biomarker for predicting prognosis in resectable colorectal cancer
topic colorectal cancer
Onodera’ s prognostic nutritional index
prognosis
systemic inflammation response index
hematological markers
url https://www.frontiersin.org/articles/10.3389/fonc.2023.1279487/full
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