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Tryptophan Metabolites as Biomarkers for Esophageal Cancer Susceptibility, Metastasis, and Prognosis

BACKGROUND: Perturbation of tryptophan (TRP) metabolism contributes to the immune escape of cancer; however, the explored TRP metabolites are limited, and their efficacy in clarifying the susceptibility and progression of esophageal cancer (EC) remains ambiguous. Our study sought to evaluate the eff...

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Autores principales: Chen, Yun, Chen, Jianliang, Guo, Dainian, Yang, Peixuan, Chen, Shuang, Zhao, Chengkuan, Xu, Chengcheng, Zhang, Qiuzhen, Lin, Chaoxian, Zhong, Shilong, Zhang, Shuyao
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8918692/
https://www.ncbi.nlm.nih.gov/pubmed/35296014
http://dx.doi.org/10.3389/fonc.2022.800291
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author Chen, Yun
Chen, Jianliang
Guo, Dainian
Yang, Peixuan
Chen, Shuang
Zhao, Chengkuan
Xu, Chengcheng
Zhang, Qiuzhen
Lin, Chaoxian
Zhong, Shilong
Zhang, Shuyao
author_facet Chen, Yun
Chen, Jianliang
Guo, Dainian
Yang, Peixuan
Chen, Shuang
Zhao, Chengkuan
Xu, Chengcheng
Zhang, Qiuzhen
Lin, Chaoxian
Zhong, Shilong
Zhang, Shuyao
author_sort Chen, Yun
collection PubMed
description BACKGROUND: Perturbation of tryptophan (TRP) metabolism contributes to the immune escape of cancer; however, the explored TRP metabolites are limited, and their efficacy in clarifying the susceptibility and progression of esophageal cancer (EC) remains ambiguous. Our study sought to evaluate the effects of the TRP metabolic profile on the clinical outcomes of EC using a Chinese population cohort; and to develop a risk prediction model targeting TRP metabolism. METHOD: A total of 456 healthy individuals as control subjects and 393 patients with EC who were followed up for one year as case subjects were enrolled. Quantification of the plasma concentrations of TRP and its metabolites was performed using HPLC-MS/MS. The logistic regression model was applied to evaluate the effects of the clinical characteristics and plasma metabolites of the subjects on susceptibility and tumor metastasis events, whereas Cox regression analysis was performed to assess the overall survival (OS) of the patients. RESULTS: Levels of creatinine and liver enzymes were substantially correlated with multiple metabolites/metabolite ratios in TRP metabolism, suggesting that hepatic and renal function would exert effects on TRP metabolism. Age- and sex-matched case–control subjects were selected using propensity score matching. Plasma exposure to 5-HT was found to be elevated 3.94-fold in case subjects (N = 166) compared to control subjects (N = 203), achieving an AUC of 0.811 for predicting susceptibility event. Subsequent correlation analysis indicated that a higher plasma exposure to 5-HIAA significantly increased the risk of lymph node metastasis (OR: 2.16, p = 0.0114). Furthermore, it was figured out that OS was significantly shorter for patients with elevated XA/KYN ratio (HR: 1.99, p = 0.0016), in which medium and high levels of XA/KYN versus low level had a significantly lower OS (HR: 0.48, p = 0.0080 and HR: 0.42, p = 0.0031, respectively). CONCLUSION: This study provides a pivotal basis for targeting endogenous TRP metabolism as a potential therapeutic intervention.
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spelling pubmed-89186922022-03-15 Tryptophan Metabolites as Biomarkers for Esophageal Cancer Susceptibility, Metastasis, and Prognosis Chen, Yun Chen, Jianliang Guo, Dainian Yang, Peixuan Chen, Shuang Zhao, Chengkuan Xu, Chengcheng Zhang, Qiuzhen Lin, Chaoxian Zhong, Shilong Zhang, Shuyao Front Oncol Oncology BACKGROUND: Perturbation of tryptophan (TRP) metabolism contributes to the immune escape of cancer; however, the explored TRP metabolites are limited, and their efficacy in clarifying the susceptibility and progression of esophageal cancer (EC) remains ambiguous. Our study sought to evaluate the effects of the TRP metabolic profile on the clinical outcomes of EC using a Chinese population cohort; and to develop a risk prediction model targeting TRP metabolism. METHOD: A total of 456 healthy individuals as control subjects and 393 patients with EC who were followed up for one year as case subjects were enrolled. Quantification of the plasma concentrations of TRP and its metabolites was performed using HPLC-MS/MS. The logistic regression model was applied to evaluate the effects of the clinical characteristics and plasma metabolites of the subjects on susceptibility and tumor metastasis events, whereas Cox regression analysis was performed to assess the overall survival (OS) of the patients. RESULTS: Levels of creatinine and liver enzymes were substantially correlated with multiple metabolites/metabolite ratios in TRP metabolism, suggesting that hepatic and renal function would exert effects on TRP metabolism. Age- and sex-matched case–control subjects were selected using propensity score matching. Plasma exposure to 5-HT was found to be elevated 3.94-fold in case subjects (N = 166) compared to control subjects (N = 203), achieving an AUC of 0.811 for predicting susceptibility event. Subsequent correlation analysis indicated that a higher plasma exposure to 5-HIAA significantly increased the risk of lymph node metastasis (OR: 2.16, p = 0.0114). Furthermore, it was figured out that OS was significantly shorter for patients with elevated XA/KYN ratio (HR: 1.99, p = 0.0016), in which medium and high levels of XA/KYN versus low level had a significantly lower OS (HR: 0.48, p = 0.0080 and HR: 0.42, p = 0.0031, respectively). CONCLUSION: This study provides a pivotal basis for targeting endogenous TRP metabolism as a potential therapeutic intervention. Frontiers Media S.A. 2022-02-28 /pmc/articles/PMC8918692/ /pubmed/35296014 http://dx.doi.org/10.3389/fonc.2022.800291 Text en Copyright © 2022 Chen, Chen, Guo, Yang, Chen, Zhao, Xu, Zhang, Lin, Zhong and Zhang https://creativecommons.org/licenses/by/4.0/This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.
spellingShingle Oncology
Chen, Yun
Chen, Jianliang
Guo, Dainian
Yang, Peixuan
Chen, Shuang
Zhao, Chengkuan
Xu, Chengcheng
Zhang, Qiuzhen
Lin, Chaoxian
Zhong, Shilong
Zhang, Shuyao
Tryptophan Metabolites as Biomarkers for Esophageal Cancer Susceptibility, Metastasis, and Prognosis
title Tryptophan Metabolites as Biomarkers for Esophageal Cancer Susceptibility, Metastasis, and Prognosis
title_full Tryptophan Metabolites as Biomarkers for Esophageal Cancer Susceptibility, Metastasis, and Prognosis
title_fullStr Tryptophan Metabolites as Biomarkers for Esophageal Cancer Susceptibility, Metastasis, and Prognosis
title_full_unstemmed Tryptophan Metabolites as Biomarkers for Esophageal Cancer Susceptibility, Metastasis, and Prognosis
title_short Tryptophan Metabolites as Biomarkers for Esophageal Cancer Susceptibility, Metastasis, and Prognosis
title_sort tryptophan metabolites as biomarkers for esophageal cancer susceptibility, metastasis, and prognosis
topic Oncology
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8918692/
https://www.ncbi.nlm.nih.gov/pubmed/35296014
http://dx.doi.org/10.3389/fonc.2022.800291
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