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Metabolic changes preceding bladder cancer occurrence among Korean men: a nested case-control study from the KCPS-II cohort
BACKGROUND: Bladder cancer (BLCA) research in Koreans is still lacking, especially in focusing on the prediction of BLCA. The current study aimed to discover metabolic signatures related to BLCA onset and confirm its potential as a biomarker. METHODS: We designed two nested case-control studies usin...
Autores principales: | , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2023
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10696702/ http://dx.doi.org/10.1186/s40170-023-00324-0 |
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author | Han, Youngmin Kim, Unchong Jung, Keum Ji Lee, Ji-Young Lee, Kwangbae Shin, Sang Yop Kimm, Heejin Jee, Sun Ha |
author_facet | Han, Youngmin Kim, Unchong Jung, Keum Ji Lee, Ji-Young Lee, Kwangbae Shin, Sang Yop Kimm, Heejin Jee, Sun Ha |
author_sort | Han, Youngmin |
collection | PubMed |
description | BACKGROUND: Bladder cancer (BLCA) research in Koreans is still lacking, especially in focusing on the prediction of BLCA. The current study aimed to discover metabolic signatures related to BLCA onset and confirm its potential as a biomarker. METHODS: We designed two nested case-control studies using Korean Cancer Prevention Study (KCPS)-II. Only males aged 35–69 were randomly selected and divided into two sets by recruitment organizations [set 1, BLCA (n = 35) vs. control (n = 35); set 2, BLCA (n = 31) vs. control (n = 31)]. Baseline serum samples were analyzed by non-targeted metabolomics profiling, and OPLS-DA and network analysis were performed. Calculated genetic risk score (GRS) for BLCA from all KCPS participants was utilized for interpreting metabolomics data. RESULTS: Critical metabolic signatures shown in the BLCA group were dysregulation of lysine metabolism and tryptophan-indole metabolism. Furthermore, the prediction model consisting of metabolites (lysine, tryptophan, indole, indoleacrylic acid, and indoleacetaldehyde) reflecting these metabolic signatures showed mighty BLCA predictive power (AUC: 0.959 [0.929–0.989]). The results of metabolic differences between GRS-high and GRS-low groups in BLCA indicated that the pathogenesis of BLCA is associated with a genetic predisposition. Besides, the predictive ability for BLCA on the model using GRS and five significant metabolites was powerful (AUC: 0.990 [0.980–1.000]). CONCLUSION: Metabolic signatures shown in the present research may be closely associated with BLCA pathogenesis. Metabolites involved in these could be predictive biomarkers for BLCA. It could be utilized for early diagnosis, prognostic diagnosis, and therapeutic targets for BLCA. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s40170-023-00324-0. |
format | Online Article Text |
id | pubmed-10696702 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
spelling | pubmed-106967022023-12-06 Metabolic changes preceding bladder cancer occurrence among Korean men: a nested case-control study from the KCPS-II cohort Han, Youngmin Kim, Unchong Jung, Keum Ji Lee, Ji-Young Lee, Kwangbae Shin, Sang Yop Kimm, Heejin Jee, Sun Ha Cancer Metab Research BACKGROUND: Bladder cancer (BLCA) research in Koreans is still lacking, especially in focusing on the prediction of BLCA. The current study aimed to discover metabolic signatures related to BLCA onset and confirm its potential as a biomarker. METHODS: We designed two nested case-control studies using Korean Cancer Prevention Study (KCPS)-II. Only males aged 35–69 were randomly selected and divided into two sets by recruitment organizations [set 1, BLCA (n = 35) vs. control (n = 35); set 2, BLCA (n = 31) vs. control (n = 31)]. Baseline serum samples were analyzed by non-targeted metabolomics profiling, and OPLS-DA and network analysis were performed. Calculated genetic risk score (GRS) for BLCA from all KCPS participants was utilized for interpreting metabolomics data. RESULTS: Critical metabolic signatures shown in the BLCA group were dysregulation of lysine metabolism and tryptophan-indole metabolism. Furthermore, the prediction model consisting of metabolites (lysine, tryptophan, indole, indoleacrylic acid, and indoleacetaldehyde) reflecting these metabolic signatures showed mighty BLCA predictive power (AUC: 0.959 [0.929–0.989]). The results of metabolic differences between GRS-high and GRS-low groups in BLCA indicated that the pathogenesis of BLCA is associated with a genetic predisposition. Besides, the predictive ability for BLCA on the model using GRS and five significant metabolites was powerful (AUC: 0.990 [0.980–1.000]). CONCLUSION: Metabolic signatures shown in the present research may be closely associated with BLCA pathogenesis. Metabolites involved in these could be predictive biomarkers for BLCA. It could be utilized for early diagnosis, prognostic diagnosis, and therapeutic targets for BLCA. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s40170-023-00324-0. BioMed Central 2023-12-05 /pmc/articles/PMC10696702/ http://dx.doi.org/10.1186/s40170-023-00324-0 Text en © The Author(s) 2023 https://creativecommons.org/licenses/by/4.0/Open Access This 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 Han, Youngmin Kim, Unchong Jung, Keum Ji Lee, Ji-Young Lee, Kwangbae Shin, Sang Yop Kimm, Heejin Jee, Sun Ha Metabolic changes preceding bladder cancer occurrence among Korean men: a nested case-control study from the KCPS-II cohort |
title | Metabolic changes preceding bladder cancer occurrence among Korean men: a nested case-control study from the KCPS-II cohort |
title_full | Metabolic changes preceding bladder cancer occurrence among Korean men: a nested case-control study from the KCPS-II cohort |
title_fullStr | Metabolic changes preceding bladder cancer occurrence among Korean men: a nested case-control study from the KCPS-II cohort |
title_full_unstemmed | Metabolic changes preceding bladder cancer occurrence among Korean men: a nested case-control study from the KCPS-II cohort |
title_short | Metabolic changes preceding bladder cancer occurrence among Korean men: a nested case-control study from the KCPS-II cohort |
title_sort | metabolic changes preceding bladder cancer occurrence among korean men: a nested case-control study from the kcps-ii cohort |
topic | Research |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10696702/ http://dx.doi.org/10.1186/s40170-023-00324-0 |
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