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Kidney-type glutaminase is a biomarker for the diagnosis and prognosis of hepatocellular carcinoma: a prospective study
PURPOSE: The pathological diagnosis and prognosis prediction of hepatocellular carcinoma (HCC) is challenging due to the lack of specific biomarkers. This study aimed to validate the diagnostic and prognostic efficiency of Kidney-type glutaminase (GLS1) for HCC in prospective cohorts with a large sa...
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/PMC10633901/ https://www.ncbi.nlm.nih.gov/pubmed/37946141 http://dx.doi.org/10.1186/s12885-023-11601-y |
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author | Zhang, Laizhu Su, Ke Liu, Qi Li, Binghua Wang, Ye Cheng, Chunxiao Li, Yunzheng Xu, Chun Chen, Jun Wu, Hongyan Zhu, Mengxia Mai, Xiaoli Cao, Yajuan Peng, Jin Yue, Yang Ding, Yitao Yu, Decai |
author_facet | Zhang, Laizhu Su, Ke Liu, Qi Li, Binghua Wang, Ye Cheng, Chunxiao Li, Yunzheng Xu, Chun Chen, Jun Wu, Hongyan Zhu, Mengxia Mai, Xiaoli Cao, Yajuan Peng, Jin Yue, Yang Ding, Yitao Yu, Decai |
author_sort | Zhang, Laizhu |
collection | PubMed |
description | PURPOSE: The pathological diagnosis and prognosis prediction of hepatocellular carcinoma (HCC) is challenging due to the lack of specific biomarkers. This study aimed to validate the diagnostic and prognostic efficiency of Kidney-type glutaminase (GLS1) for HCC in prospective cohorts with a large sample size. METHODS: A total of 1140 HCC patients were enrolled in our prospective clinical trials. Control cases included 114 nontumour tissues. The registered clinical trial (ChiCTR-DDT-14,005,102, chictr.org.cn) was referred to for the exact protocol. GLS1 immunohistochemistry was performed on the whole tumour section. The diagnostic and prognostic performances of GLS1 was evaluated by the receiver operating characteristic curve and Cox regression model. RESULTS: The sensitivity, specificity, positive predictive value, negative predictive value, Youden index, and area under the curve of GLS1 for the diagnosis of HCC were 0.746, 0.842, 0.979, 0.249, 0.588, and 0.814, respectively, which could be increased to 0.846, 0.886, 0.987,0.366, 0.732, and 0.921 when combined with glypican 3 (GPC3) and alpha-fetoprotein (AFP), indicating better diagnostic performance. Further, we developed a nomogram with GPC3 and GLS1 for identifying HCC which showed good discrimination and calibration. GLS1 expression was also related with age, T stage, TNM stage, Edmondson–Steiner grade, microvascular invasion, Ki67, VEGFR2, GPC3, and AFP expression in HCC. GLS1 expression was negatively correlated with disease-free survival (P < 0.001) probability of patients with HCC. CONCLUSIONS: It was validated that GLS1 was a sensitive and specific biomarker for pathological diagnosis of HCC and had prognostic value, thus having practical value for clinical application. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s12885-023-11601-y. |
format | Online Article Text |
id | pubmed-10633901 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
spelling | pubmed-106339012023-11-10 Kidney-type glutaminase is a biomarker for the diagnosis and prognosis of hepatocellular carcinoma: a prospective study Zhang, Laizhu Su, Ke Liu, Qi Li, Binghua Wang, Ye Cheng, Chunxiao Li, Yunzheng Xu, Chun Chen, Jun Wu, Hongyan Zhu, Mengxia Mai, Xiaoli Cao, Yajuan Peng, Jin Yue, Yang Ding, Yitao Yu, Decai BMC Cancer Research PURPOSE: The pathological diagnosis and prognosis prediction of hepatocellular carcinoma (HCC) is challenging due to the lack of specific biomarkers. This study aimed to validate the diagnostic and prognostic efficiency of Kidney-type glutaminase (GLS1) for HCC in prospective cohorts with a large sample size. METHODS: A total of 1140 HCC patients were enrolled in our prospective clinical trials. Control cases included 114 nontumour tissues. The registered clinical trial (ChiCTR-DDT-14,005,102, chictr.org.cn) was referred to for the exact protocol. GLS1 immunohistochemistry was performed on the whole tumour section. The diagnostic and prognostic performances of GLS1 was evaluated by the receiver operating characteristic curve and Cox regression model. RESULTS: The sensitivity, specificity, positive predictive value, negative predictive value, Youden index, and area under the curve of GLS1 for the diagnosis of HCC were 0.746, 0.842, 0.979, 0.249, 0.588, and 0.814, respectively, which could be increased to 0.846, 0.886, 0.987,0.366, 0.732, and 0.921 when combined with glypican 3 (GPC3) and alpha-fetoprotein (AFP), indicating better diagnostic performance. Further, we developed a nomogram with GPC3 and GLS1 for identifying HCC which showed good discrimination and calibration. GLS1 expression was also related with age, T stage, TNM stage, Edmondson–Steiner grade, microvascular invasion, Ki67, VEGFR2, GPC3, and AFP expression in HCC. GLS1 expression was negatively correlated with disease-free survival (P < 0.001) probability of patients with HCC. CONCLUSIONS: It was validated that GLS1 was a sensitive and specific biomarker for pathological diagnosis of HCC and had prognostic value, thus having practical value for clinical application. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s12885-023-11601-y. BioMed Central 2023-11-09 /pmc/articles/PMC10633901/ /pubmed/37946141 http://dx.doi.org/10.1186/s12885-023-11601-y 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 Zhang, Laizhu Su, Ke Liu, Qi Li, Binghua Wang, Ye Cheng, Chunxiao Li, Yunzheng Xu, Chun Chen, Jun Wu, Hongyan Zhu, Mengxia Mai, Xiaoli Cao, Yajuan Peng, Jin Yue, Yang Ding, Yitao Yu, Decai Kidney-type glutaminase is a biomarker for the diagnosis and prognosis of hepatocellular carcinoma: a prospective study |
title | Kidney-type glutaminase is a biomarker for the diagnosis and prognosis of hepatocellular carcinoma: a prospective study |
title_full | Kidney-type glutaminase is a biomarker for the diagnosis and prognosis of hepatocellular carcinoma: a prospective study |
title_fullStr | Kidney-type glutaminase is a biomarker for the diagnosis and prognosis of hepatocellular carcinoma: a prospective study |
title_full_unstemmed | Kidney-type glutaminase is a biomarker for the diagnosis and prognosis of hepatocellular carcinoma: a prospective study |
title_short | Kidney-type glutaminase is a biomarker for the diagnosis and prognosis of hepatocellular carcinoma: a prospective study |
title_sort | kidney-type glutaminase is a biomarker for the diagnosis and prognosis of hepatocellular carcinoma: a prospective study |
topic | Research |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10633901/ https://www.ncbi.nlm.nih.gov/pubmed/37946141 http://dx.doi.org/10.1186/s12885-023-11601-y |
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