Cargando…

High expression of HNRNPR in ESCA combined with (18)F-FDG PET/CT metabolic parameters are novel biomarkers for preoperative diagnosis of ESCA

BACKGROUND: The aim of this study was to determine the expression and function of heterogeneous nuclear ribonucleoprotein R (HNRNPR) in esophageal carcinoma (ESCA), the correlation between its expression and (18)F-fluorodeoxyglucose ((18)F-FDG) positron emission tomography/computerized tomography sc...

Descripción completa

Detalles Bibliográficos
Autores principales: Liu, Xiao-Yu, Gao, Yan, Kui, Xue-Yan, Liu, Xu-Sheng, Zhang, Yao-hua, Zhang, Yu, Ke, Chang-Bin, Pei, Zhi-Jun
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9533615/
https://www.ncbi.nlm.nih.gov/pubmed/36195940
http://dx.doi.org/10.1186/s12967-022-03665-4
_version_ 1784802382572421120
author Liu, Xiao-Yu
Gao, Yan
Kui, Xue-Yan
Liu, Xu-Sheng
Zhang, Yao-hua
Zhang, Yu
Ke, Chang-Bin
Pei, Zhi-Jun
author_facet Liu, Xiao-Yu
Gao, Yan
Kui, Xue-Yan
Liu, Xu-Sheng
Zhang, Yao-hua
Zhang, Yu
Ke, Chang-Bin
Pei, Zhi-Jun
author_sort Liu, Xiao-Yu
collection PubMed
description BACKGROUND: The aim of this study was to determine the expression and function of heterogeneous nuclear ribonucleoprotein R (HNRNPR) in esophageal carcinoma (ESCA), the correlation between its expression and (18)F-fluorodeoxyglucose ((18)F-FDG) positron emission tomography/computerized tomography scan (PET/CT)-related parameters. We also investigated whether (18)F-FDG PET/CT can be used to predict the expression of HNRNPR in ESCA. METHODS: We analyzed patients with ESCA who underwent (18)F-FDG PET/CT before surgery, and their tissues were stained with HNRNPR IHC. The associated parameters were derived using the (18)F-FDG PET imaging data, and the correlation with the IHC score was evaluated. The Oncomine, TCGA, and GEO datasets were used to investigate HNRNPR expression in the pan- and esophageal cancers, as well as its relationship with N6-methyladenosine (m6A) modification and glycolysis. The R software, LinkedOmics, GeneMANIA, and StringOnline tools were used to perform GO/KEGG, GGI, and PPI analyses on the HNRNPR. RESULTS: HNRNPR is highly expressed in the majority of pan-cancers, including ESCA, and is associated with BMI, weight, and history of reflux in patients with ESCA. HNRNPR is somewhat accurate in predicting the clinical prognosis of ESCA. HNRNPR expression was positively correlated with SUV(max), SUV(mean), and TLG in ESCA (p < 0.05). The combination of these three variables provides a strong predictive value for HNRNPR expression in ESCA. GO/KEGG analysis showed that HNRNPR played a role in the regulation of cell cycle, DNA replication, and the Fannie anemia pathway. The analysis of the TCGA and GEO data sets revealed a significant correlation between HNRNPR expression and m6A and glycolysis-related genes. GSEA analysis revealed that HNRNPR was involved in various m6A and glycolysis related-pathways. CONCLUSION: HNRNPR overexpression correlates with (18)F-FDG uptake in ESCA and may be involved in the regulation of the cell cycle, m6A modification, and cell glycolysis. (18)F-FDG PET/CT-related parameters can predict the diagnostic accuracy of HNRNPR expression in ESCA.
format Online
Article
Text
id pubmed-9533615
institution National Center for Biotechnology Information
language English
publishDate 2022
publisher BioMed Central
record_format MEDLINE/PubMed
spelling pubmed-95336152022-10-06 High expression of HNRNPR in ESCA combined with (18)F-FDG PET/CT metabolic parameters are novel biomarkers for preoperative diagnosis of ESCA Liu, Xiao-Yu Gao, Yan Kui, Xue-Yan Liu, Xu-Sheng Zhang, Yao-hua Zhang, Yu Ke, Chang-Bin Pei, Zhi-Jun J Transl Med Research BACKGROUND: The aim of this study was to determine the expression and function of heterogeneous nuclear ribonucleoprotein R (HNRNPR) in esophageal carcinoma (ESCA), the correlation between its expression and (18)F-fluorodeoxyglucose ((18)F-FDG) positron emission tomography/computerized tomography scan (PET/CT)-related parameters. We also investigated whether (18)F-FDG PET/CT can be used to predict the expression of HNRNPR in ESCA. METHODS: We analyzed patients with ESCA who underwent (18)F-FDG PET/CT before surgery, and their tissues were stained with HNRNPR IHC. The associated parameters were derived using the (18)F-FDG PET imaging data, and the correlation with the IHC score was evaluated. The Oncomine, TCGA, and GEO datasets were used to investigate HNRNPR expression in the pan- and esophageal cancers, as well as its relationship with N6-methyladenosine (m6A) modification and glycolysis. The R software, LinkedOmics, GeneMANIA, and StringOnline tools were used to perform GO/KEGG, GGI, and PPI analyses on the HNRNPR. RESULTS: HNRNPR is highly expressed in the majority of pan-cancers, including ESCA, and is associated with BMI, weight, and history of reflux in patients with ESCA. HNRNPR is somewhat accurate in predicting the clinical prognosis of ESCA. HNRNPR expression was positively correlated with SUV(max), SUV(mean), and TLG in ESCA (p < 0.05). The combination of these three variables provides a strong predictive value for HNRNPR expression in ESCA. GO/KEGG analysis showed that HNRNPR played a role in the regulation of cell cycle, DNA replication, and the Fannie anemia pathway. The analysis of the TCGA and GEO data sets revealed a significant correlation between HNRNPR expression and m6A and glycolysis-related genes. GSEA analysis revealed that HNRNPR was involved in various m6A and glycolysis related-pathways. CONCLUSION: HNRNPR overexpression correlates with (18)F-FDG uptake in ESCA and may be involved in the regulation of the cell cycle, m6A modification, and cell glycolysis. (18)F-FDG PET/CT-related parameters can predict the diagnostic accuracy of HNRNPR expression in ESCA. BioMed Central 2022-10-04 /pmc/articles/PMC9533615/ /pubmed/36195940 http://dx.doi.org/10.1186/s12967-022-03665-4 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
Liu, Xiao-Yu
Gao, Yan
Kui, Xue-Yan
Liu, Xu-Sheng
Zhang, Yao-hua
Zhang, Yu
Ke, Chang-Bin
Pei, Zhi-Jun
High expression of HNRNPR in ESCA combined with (18)F-FDG PET/CT metabolic parameters are novel biomarkers for preoperative diagnosis of ESCA
title High expression of HNRNPR in ESCA combined with (18)F-FDG PET/CT metabolic parameters are novel biomarkers for preoperative diagnosis of ESCA
title_full High expression of HNRNPR in ESCA combined with (18)F-FDG PET/CT metabolic parameters are novel biomarkers for preoperative diagnosis of ESCA
title_fullStr High expression of HNRNPR in ESCA combined with (18)F-FDG PET/CT metabolic parameters are novel biomarkers for preoperative diagnosis of ESCA
title_full_unstemmed High expression of HNRNPR in ESCA combined with (18)F-FDG PET/CT metabolic parameters are novel biomarkers for preoperative diagnosis of ESCA
title_short High expression of HNRNPR in ESCA combined with (18)F-FDG PET/CT metabolic parameters are novel biomarkers for preoperative diagnosis of ESCA
title_sort high expression of hnrnpr in esca combined with (18)f-fdg pet/ct metabolic parameters are novel biomarkers for preoperative diagnosis of esca
topic Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9533615/
https://www.ncbi.nlm.nih.gov/pubmed/36195940
http://dx.doi.org/10.1186/s12967-022-03665-4
work_keys_str_mv AT liuxiaoyu highexpressionofhnrnprinescacombinedwith18ffdgpetctmetabolicparametersarenovelbiomarkersforpreoperativediagnosisofesca
AT gaoyan highexpressionofhnrnprinescacombinedwith18ffdgpetctmetabolicparametersarenovelbiomarkersforpreoperativediagnosisofesca
AT kuixueyan highexpressionofhnrnprinescacombinedwith18ffdgpetctmetabolicparametersarenovelbiomarkersforpreoperativediagnosisofesca
AT liuxusheng highexpressionofhnrnprinescacombinedwith18ffdgpetctmetabolicparametersarenovelbiomarkersforpreoperativediagnosisofesca
AT zhangyaohua highexpressionofhnrnprinescacombinedwith18ffdgpetctmetabolicparametersarenovelbiomarkersforpreoperativediagnosisofesca
AT zhangyu highexpressionofhnrnprinescacombinedwith18ffdgpetctmetabolicparametersarenovelbiomarkersforpreoperativediagnosisofesca
AT kechangbin highexpressionofhnrnprinescacombinedwith18ffdgpetctmetabolicparametersarenovelbiomarkersforpreoperativediagnosisofesca
AT peizhijun highexpressionofhnrnprinescacombinedwith18ffdgpetctmetabolicparametersarenovelbiomarkersforpreoperativediagnosisofesca