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Association of plasma lipid metabolism profiles with overall survival for patients with gastric cancer undergoing gastrectomy based on (1)H-NMR spectroscopy

BACKGROUND: Lipid metabolism dysregulation is a prominent metabolic alteration in various cancers. The study aimed to explore the association of plasma lipid metabolism profiles with overall survival (OS) for gastric cancer (GC) patients who received gastrectomy. METHODS: GC patients who were treate...

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Autores principales: Qiu, Yaopeng, Xu, Zhou, Xie, Qingfeng, Zhang, Renyi, Wang, Luyao, Zhao, Liying, Liu, Hao
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9903497/
https://www.ncbi.nlm.nih.gov/pubmed/36750880
http://dx.doi.org/10.1186/s12986-023-00728-1
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author Qiu, Yaopeng
Xu, Zhou
Xie, Qingfeng
Zhang, Renyi
Wang, Luyao
Zhao, Liying
Liu, Hao
author_facet Qiu, Yaopeng
Xu, Zhou
Xie, Qingfeng
Zhang, Renyi
Wang, Luyao
Zhao, Liying
Liu, Hao
author_sort Qiu, Yaopeng
collection PubMed
description BACKGROUND: Lipid metabolism dysregulation is a prominent metabolic alteration in various cancers. The study aimed to explore the association of plasma lipid metabolism profiles with overall survival (OS) for gastric cancer (GC) patients who received gastrectomy. METHODS: GC patients who were treated with gastrectomy and measured with plasma lipid metabolism profiles using proton nuclear magnetic resonance ((1)H-NMR) spectroscopy in Nanfang Hospital between January 1, 2017, and October 31, 2018, were recruited. The Least Absolute Shrinkage and Selection Operator (LASSO) regression model was used to analyze variables selected by univariate analysis for OS. An index of plasma lipid metabolism profiles, named plasma lipid metabolism index (PLMI), was constructed by variables' coefficients in LASSO regression to explore its association with OS and its role in the prediction model. RESULTS: A total of 158 GC patients were included in this study. Four of the 110 lipid profiles, including LDL-5 Apo-B, LDL-4 Cholesterol, HDL-4 Apo-A2, and HDL-4 Free Cholesterol, were selected to construct the PLMI. The optimal cut-off value of PLMI for OS was used to classify the population into two subgroups, the high PLMI group (≥ − 0.163) and the low PLMI group (< − 0.163). The high PLMI group had a shorter OS (p = 0.0034) and was the independent risk factor for OS (Hazard Ratio = 2.13, 95% Confidence Interval (CI): 1.07–4.22, p = 0.031) after adjusting for perineural invasion and tumor stage. In subsets of the I–III stage and treating postoperative chemotherapy, high PLMI also had an unfavorable correlation with OS (p = 0.016 and p = 0.0086, respectively). The nomogram prediction models of both the training cohort and validation cohort showed good calibration and discrimination with the concordance indexes of 0.806 (95% CI, 0.732–0.880) in the training cohort and 0.794 (95% CI, 0.725–0.862) in the validation cohort. CONCLUSIONS: This study found that the index derived from the LDL-5 Apo-B, LDL-4 Cholesterol, HDL-4 Apo-A2, and HDL-4 Free Cholesterol, was significantly associated with overall survival, suggesting that regulating lipid metabolisms might improve the prognosis for GC patients. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s12986-023-00728-1.
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spelling pubmed-99034972023-02-08 Association of plasma lipid metabolism profiles with overall survival for patients with gastric cancer undergoing gastrectomy based on (1)H-NMR spectroscopy Qiu, Yaopeng Xu, Zhou Xie, Qingfeng Zhang, Renyi Wang, Luyao Zhao, Liying Liu, Hao Nutr Metab (Lond) Research BACKGROUND: Lipid metabolism dysregulation is a prominent metabolic alteration in various cancers. The study aimed to explore the association of plasma lipid metabolism profiles with overall survival (OS) for gastric cancer (GC) patients who received gastrectomy. METHODS: GC patients who were treated with gastrectomy and measured with plasma lipid metabolism profiles using proton nuclear magnetic resonance ((1)H-NMR) spectroscopy in Nanfang Hospital between January 1, 2017, and October 31, 2018, were recruited. The Least Absolute Shrinkage and Selection Operator (LASSO) regression model was used to analyze variables selected by univariate analysis for OS. An index of plasma lipid metabolism profiles, named plasma lipid metabolism index (PLMI), was constructed by variables' coefficients in LASSO regression to explore its association with OS and its role in the prediction model. RESULTS: A total of 158 GC patients were included in this study. Four of the 110 lipid profiles, including LDL-5 Apo-B, LDL-4 Cholesterol, HDL-4 Apo-A2, and HDL-4 Free Cholesterol, were selected to construct the PLMI. The optimal cut-off value of PLMI for OS was used to classify the population into two subgroups, the high PLMI group (≥ − 0.163) and the low PLMI group (< − 0.163). The high PLMI group had a shorter OS (p = 0.0034) and was the independent risk factor for OS (Hazard Ratio = 2.13, 95% Confidence Interval (CI): 1.07–4.22, p = 0.031) after adjusting for perineural invasion and tumor stage. In subsets of the I–III stage and treating postoperative chemotherapy, high PLMI also had an unfavorable correlation with OS (p = 0.016 and p = 0.0086, respectively). The nomogram prediction models of both the training cohort and validation cohort showed good calibration and discrimination with the concordance indexes of 0.806 (95% CI, 0.732–0.880) in the training cohort and 0.794 (95% CI, 0.725–0.862) in the validation cohort. CONCLUSIONS: This study found that the index derived from the LDL-5 Apo-B, LDL-4 Cholesterol, HDL-4 Apo-A2, and HDL-4 Free Cholesterol, was significantly associated with overall survival, suggesting that regulating lipid metabolisms might improve the prognosis for GC patients. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s12986-023-00728-1. BioMed Central 2023-02-07 /pmc/articles/PMC9903497/ /pubmed/36750880 http://dx.doi.org/10.1186/s12986-023-00728-1 Text en © The Author(s) 2023 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
Qiu, Yaopeng
Xu, Zhou
Xie, Qingfeng
Zhang, Renyi
Wang, Luyao
Zhao, Liying
Liu, Hao
Association of plasma lipid metabolism profiles with overall survival for patients with gastric cancer undergoing gastrectomy based on (1)H-NMR spectroscopy
title Association of plasma lipid metabolism profiles with overall survival for patients with gastric cancer undergoing gastrectomy based on (1)H-NMR spectroscopy
title_full Association of plasma lipid metabolism profiles with overall survival for patients with gastric cancer undergoing gastrectomy based on (1)H-NMR spectroscopy
title_fullStr Association of plasma lipid metabolism profiles with overall survival for patients with gastric cancer undergoing gastrectomy based on (1)H-NMR spectroscopy
title_full_unstemmed Association of plasma lipid metabolism profiles with overall survival for patients with gastric cancer undergoing gastrectomy based on (1)H-NMR spectroscopy
title_short Association of plasma lipid metabolism profiles with overall survival for patients with gastric cancer undergoing gastrectomy based on (1)H-NMR spectroscopy
title_sort association of plasma lipid metabolism profiles with overall survival for patients with gastric cancer undergoing gastrectomy based on (1)h-nmr spectroscopy
topic Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9903497/
https://www.ncbi.nlm.nih.gov/pubmed/36750880
http://dx.doi.org/10.1186/s12986-023-00728-1
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