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Prognostic significance of preoperative prognostic immune and nutritional index in patients with stage I–III colorectal cancer

BACKGROUND: To explore the value of preoperative prognostic immune and nutritional index (PINI) in predicting postoperative complications and long-term outcomes in patients with stage I–III colorectal cancer (CRC). METHODS: Restricted cubic splines were used to assess the relationship between PINI a...

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Autores principales: Xie, Hailun, Wei, Lishuang, Liu, Mingxiang, Liang, Yanren, Yuan, Guanghui, Gao, Shunhui, Wang, Qiwen, Lin, Xin, Tang, Shuangyi, Gan, Jialiang
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9756500/
https://www.ncbi.nlm.nih.gov/pubmed/36522702
http://dx.doi.org/10.1186/s12885-022-10405-w
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author Xie, Hailun
Wei, Lishuang
Liu, Mingxiang
Liang, Yanren
Yuan, Guanghui
Gao, Shunhui
Wang, Qiwen
Lin, Xin
Tang, Shuangyi
Gan, Jialiang
author_facet Xie, Hailun
Wei, Lishuang
Liu, Mingxiang
Liang, Yanren
Yuan, Guanghui
Gao, Shunhui
Wang, Qiwen
Lin, Xin
Tang, Shuangyi
Gan, Jialiang
author_sort Xie, Hailun
collection PubMed
description BACKGROUND: To explore the value of preoperative prognostic immune and nutritional index (PINI) in predicting postoperative complications and long-term outcomes in patients with stage I–III colorectal cancer (CRC). METHODS: Restricted cubic splines were used to assess the relationship between PINI and survival in patients with CRC. The Kaplan–Meier method and log-rank test were used to plot the survival curves. The Cox proportional hazards model was used to evaluate independent prognostic predictors in patients with CRC. A logistic regression analysis was performed to identify independent predictors of postoperative complications. The least absolute shrinkage and selection operator (LASSO) logistic regression algorithm was used for feature screening. RESULTS: An evident positive dose–response relationship between PINI and survival in patients with CRC was identified. Compared with patients with a high PINI, those with a low PINI had worse disease-free survival (DFS) (47.9% vs. 66.9%, p < 0.001) and overall survival (OS) (49.7% vs. 70.2%, p < 0.001). The Cox proportional hazards model revealed that PINI was independently associated with DFS (hazard ratio [HR], 0.823; 95% confidence interval [CI], 0.754–0.898; p < 0.001) and OS (HR, 0.833; 95% CI, 0.761–0.912; p < 0.001) in patients with CRC. In the logistic regression analysis, PINI was an independent factor affecting postoperative complications in patients with CRC (odds ratio, 0.710; 95%CI: 0.610–0.810, p < 0.001). The LASSO logistic regression algorithm was used to screen for effective prognostic variables. Finally, we constructed PINI-based nomograms to predict postoperative 1–5-year PFS, and OS in patients with CRC. CONCLUSION: PINI is an effective biomarker for predicting postoperative complications, DFS, and OS in patients with stage I–III CRC. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s12885-022-10405-w.
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spelling pubmed-97565002022-12-17 Prognostic significance of preoperative prognostic immune and nutritional index in patients with stage I–III colorectal cancer Xie, Hailun Wei, Lishuang Liu, Mingxiang Liang, Yanren Yuan, Guanghui Gao, Shunhui Wang, Qiwen Lin, Xin Tang, Shuangyi Gan, Jialiang BMC Cancer Research BACKGROUND: To explore the value of preoperative prognostic immune and nutritional index (PINI) in predicting postoperative complications and long-term outcomes in patients with stage I–III colorectal cancer (CRC). METHODS: Restricted cubic splines were used to assess the relationship between PINI and survival in patients with CRC. The Kaplan–Meier method and log-rank test were used to plot the survival curves. The Cox proportional hazards model was used to evaluate independent prognostic predictors in patients with CRC. A logistic regression analysis was performed to identify independent predictors of postoperative complications. The least absolute shrinkage and selection operator (LASSO) logistic regression algorithm was used for feature screening. RESULTS: An evident positive dose–response relationship between PINI and survival in patients with CRC was identified. Compared with patients with a high PINI, those with a low PINI had worse disease-free survival (DFS) (47.9% vs. 66.9%, p < 0.001) and overall survival (OS) (49.7% vs. 70.2%, p < 0.001). The Cox proportional hazards model revealed that PINI was independently associated with DFS (hazard ratio [HR], 0.823; 95% confidence interval [CI], 0.754–0.898; p < 0.001) and OS (HR, 0.833; 95% CI, 0.761–0.912; p < 0.001) in patients with CRC. In the logistic regression analysis, PINI was an independent factor affecting postoperative complications in patients with CRC (odds ratio, 0.710; 95%CI: 0.610–0.810, p < 0.001). The LASSO logistic regression algorithm was used to screen for effective prognostic variables. Finally, we constructed PINI-based nomograms to predict postoperative 1–5-year PFS, and OS in patients with CRC. CONCLUSION: PINI is an effective biomarker for predicting postoperative complications, DFS, and OS in patients with stage I–III CRC. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s12885-022-10405-w. BioMed Central 2022-12-16 /pmc/articles/PMC9756500/ /pubmed/36522702 http://dx.doi.org/10.1186/s12885-022-10405-w Text en © The Author(s) 2022 https://creativecommons.org/licenses/by/4.0/Open AccessThis article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) . The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/ (https://creativecommons.org/publicdomain/zero/1.0/) ) applies to the data made available in this article, unless otherwise stated in a credit line to the data.
spellingShingle Research
Xie, Hailun
Wei, Lishuang
Liu, Mingxiang
Liang, Yanren
Yuan, Guanghui
Gao, Shunhui
Wang, Qiwen
Lin, Xin
Tang, Shuangyi
Gan, Jialiang
Prognostic significance of preoperative prognostic immune and nutritional index in patients with stage I–III colorectal cancer
title Prognostic significance of preoperative prognostic immune and nutritional index in patients with stage I–III colorectal cancer
title_full Prognostic significance of preoperative prognostic immune and nutritional index in patients with stage I–III colorectal cancer
title_fullStr Prognostic significance of preoperative prognostic immune and nutritional index in patients with stage I–III colorectal cancer
title_full_unstemmed Prognostic significance of preoperative prognostic immune and nutritional index in patients with stage I–III colorectal cancer
title_short Prognostic significance of preoperative prognostic immune and nutritional index in patients with stage I–III colorectal cancer
title_sort prognostic significance of preoperative prognostic immune and nutritional index in patients with stage i–iii colorectal cancer
topic Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9756500/
https://www.ncbi.nlm.nih.gov/pubmed/36522702
http://dx.doi.org/10.1186/s12885-022-10405-w
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