Quantitative proteomics identified a novel invasion biomarker associated with EMT in pituitary adenomas

BackgroundComplete resection of invasive pituitary adenoma is usually difficult, resulting in a high recurrence rate. Therefore, it is needed to find potential diagnostic markers and therapeutic targets for invasive pituitary adenoma.MethodsWe collected samples from patients with invasive and non-in...

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Main Authors: Yu Zhang, Lei Li, Xin Ma, Chenan Liu, Gemingtian Liu, Zhixu Bie, Zhijun Yang, Pinan Liu
Format: Article
Language:English
Published: Frontiers Media S.A. 2023-03-01
Series:Frontiers in Endocrinology
Subjects:
Online Access:https://www.frontiersin.org/articles/10.3389/fendo.2023.1137648/full
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author Yu Zhang
Lei Li
Xin Ma
Chenan Liu
Gemingtian Liu
Zhixu Bie
Zhijun Yang
Pinan Liu
Pinan Liu
author_facet Yu Zhang
Lei Li
Xin Ma
Chenan Liu
Gemingtian Liu
Zhixu Bie
Zhijun Yang
Pinan Liu
Pinan Liu
author_sort Yu Zhang
collection DOAJ
description BackgroundComplete resection of invasive pituitary adenoma is usually difficult, resulting in a high recurrence rate. Therefore, it is needed to find potential diagnostic markers and therapeutic targets for invasive pituitary adenoma.MethodsWe collected samples from patients with invasive and non-invasive pituitary adenomas from Beijing Tiantan Hospital for protein extraction and quantitative analysis. We identified differential proteins (DEPs) by differential analysis of the two groups. The intersection of differential proteins related to invasion and epithelial-mesenchymal transition (EMT) in the GeneCards database was identified as EMT-DEPs. The protein network of EMT-DEPs was analyzed using the STRING database and Cytoscape software, and the hub EMT-DEPs were obtained by the MCC algorithm of the cytoHubba plugin. Correlation analysis was used to obtain the interpairing proteins among EMT-DEPs, and core EMT-DEPs were identified based on the number of paired proteins. The Venn program was used to identify the intersection of hub EMT-DEPs and core EMT-DEPs as key EMT-DEPs. Finally, a series of analyses plus experiments were used to verify the correlation of the target protein with invasion and EMT in pituitary adenoma.ResultsQuantitative comparison of proteins between invasive and non-invasive pituitary adenomas indicated 833 differential proteins. The overlaps of EMT-related proteins and differential proteins consisted of 46 EMT-DEPs. There were 6 intersections between the hub EMT-DEPs and core EMT-DEPs. Using quantitative protein data and GSE169498 chip, we found that solute carrier family 2 member 1 (SLC2A1) was our target protein. SLC2A1 was significantly correlated with the invasiveness of pituitary adenoma, and the ROC curve was satisfactory. The functions and pathways of SLC2A1 and paired protein enrichment were closely linked to the EMT. Consistently, SLC2A1 expression was significantly and positively correlated with the expression of classical markers of EMT. The final experiment revealed that SLC2A1 was significantly upregulated in invasive pituitary adenoma.ConclusionSLC2A1 is significantly upregulated in invasive pituitary adenoma with satisfactory predictive value. It may regulate EMT. It may be a potential diagnostic marker for invasive pituitary adenoma.
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spelling doaj.art-d2869e09db7b424a801c4d47f894af392023-03-03T06:44:15ZengFrontiers Media S.A.Frontiers in Endocrinology1664-23922023-03-011410.3389/fendo.2023.11376481137648Quantitative proteomics identified a novel invasion biomarker associated with EMT in pituitary adenomasYu Zhang0Lei Li1Xin Ma2Chenan Liu3Gemingtian Liu4Zhixu Bie5Zhijun Yang6Pinan Liu7Pinan Liu8Department of Neurosurgery, Beijing Tiantan Hospital, Capital Medical University, Beijing, ChinaCentral Laboratory, Capital Medical University, Beijing, ChinaDepartment of Neurosurgery, Beijing Tiantan Hospital, Capital Medical University, Beijing, ChinaDepartment of Gastrointestinal Surgery, Beijing Shijitan Hospital, Capital Medical University, Beijing, ChinaDepartment of Neurosurgery, Beijing Tiantan Hospital, Capital Medical University, Beijing, ChinaDepartment of Neurosurgery, Beijing Tiantan Hospital, Capital Medical University, Beijing, ChinaDepartment of Neurosurgery, Beijing Tiantan Hospital, Capital Medical University, Beijing, ChinaDepartment of Neurosurgery, Beijing Tiantan Hospital, Capital Medical University, Beijing, ChinaDepartment of Neural Reconstruction, Beijing Key Laboratory of Central Nervous System Injury, Beijing Neurosurgical Institute, Capital Medical University, Beijing, ChinaBackgroundComplete resection of invasive pituitary adenoma is usually difficult, resulting in a high recurrence rate. Therefore, it is needed to find potential diagnostic markers and therapeutic targets for invasive pituitary adenoma.MethodsWe collected samples from patients with invasive and non-invasive pituitary adenomas from Beijing Tiantan Hospital for protein extraction and quantitative analysis. We identified differential proteins (DEPs) by differential analysis of the two groups. The intersection of differential proteins related to invasion and epithelial-mesenchymal transition (EMT) in the GeneCards database was identified as EMT-DEPs. The protein network of EMT-DEPs was analyzed using the STRING database and Cytoscape software, and the hub EMT-DEPs were obtained by the MCC algorithm of the cytoHubba plugin. Correlation analysis was used to obtain the interpairing proteins among EMT-DEPs, and core EMT-DEPs were identified based on the number of paired proteins. The Venn program was used to identify the intersection of hub EMT-DEPs and core EMT-DEPs as key EMT-DEPs. Finally, a series of analyses plus experiments were used to verify the correlation of the target protein with invasion and EMT in pituitary adenoma.ResultsQuantitative comparison of proteins between invasive and non-invasive pituitary adenomas indicated 833 differential proteins. The overlaps of EMT-related proteins and differential proteins consisted of 46 EMT-DEPs. There were 6 intersections between the hub EMT-DEPs and core EMT-DEPs. Using quantitative protein data and GSE169498 chip, we found that solute carrier family 2 member 1 (SLC2A1) was our target protein. SLC2A1 was significantly correlated with the invasiveness of pituitary adenoma, and the ROC curve was satisfactory. The functions and pathways of SLC2A1 and paired protein enrichment were closely linked to the EMT. Consistently, SLC2A1 expression was significantly and positively correlated with the expression of classical markers of EMT. The final experiment revealed that SLC2A1 was significantly upregulated in invasive pituitary adenoma.ConclusionSLC2A1 is significantly upregulated in invasive pituitary adenoma with satisfactory predictive value. It may regulate EMT. It may be a potential diagnostic marker for invasive pituitary adenoma.https://www.frontiersin.org/articles/10.3389/fendo.2023.1137648/fullpituitary adenomasinvasionEMTSLC2A1biomarker
spellingShingle Yu Zhang
Lei Li
Xin Ma
Chenan Liu
Gemingtian Liu
Zhixu Bie
Zhijun Yang
Pinan Liu
Pinan Liu
Quantitative proteomics identified a novel invasion biomarker associated with EMT in pituitary adenomas
Frontiers in Endocrinology
pituitary adenomas
invasion
EMT
SLC2A1
biomarker
title Quantitative proteomics identified a novel invasion biomarker associated with EMT in pituitary adenomas
title_full Quantitative proteomics identified a novel invasion biomarker associated with EMT in pituitary adenomas
title_fullStr Quantitative proteomics identified a novel invasion biomarker associated with EMT in pituitary adenomas
title_full_unstemmed Quantitative proteomics identified a novel invasion biomarker associated with EMT in pituitary adenomas
title_short Quantitative proteomics identified a novel invasion biomarker associated with EMT in pituitary adenomas
title_sort quantitative proteomics identified a novel invasion biomarker associated with emt in pituitary adenomas
topic pituitary adenomas
invasion
EMT
SLC2A1
biomarker
url https://www.frontiersin.org/articles/10.3389/fendo.2023.1137648/full
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