Data‐independent acquisition combined with liquid chromatography mass spectrometry technique to detect prognostic protein markers in type I gastric neuroendocrine neoplasm

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Hauptverfasser: Meng Zhang, Xiuli Zheng, Chunyan Wang, Shengmian Li
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Veröffentlicht: Wiley 2024
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author Meng Zhang
Xiuli Zheng
Chunyan Wang
Shengmian Li
author_facet Meng Zhang
Xiuli Zheng
Chunyan Wang
Shengmian Li
Meng Zhang
Xiuli Zheng
Chunyan Wang
Shengmian Li
collection Wiley Open Access
contents Data‐independent acquisition combined with liquid chromatography mass spectrometry technique to detect prognostic protein markers in type I gastric neuroendocrine neoplasm Meng Zhang Xiuli Zheng Chunyan Wang Shengmian Li Rapid Communications in Mass Spectrometry Rationale This study used proteomics‐based data‐independent acquisition (DIA) technology with the aim of screening for differential expression proteins in type I gastric neuroendocrine neoplasm (g‐NEN). Methods Differential expression proteins in type I g‐NEN and peritumoral tissues were screened using DIA with liquid chromatography/tandem mass spectrometry (DIA‐LC/MS/MS). The identified proteins were then functionally analysed using bioinformatics methods. We selected the three most highly expressed proteins, combined with patients' clinical data, for prognostic analysis. Results Compared with peritumoral tissues, 224 proteins were up‐regulated, and 70 were down‐regulated. The most significantly enriched biological processes and pathways were vacuolar proton‐transporting V‐type ATPase complex assembly and metabolism‐related pathways. PCSK1, FBXO2, ACSL1, IRS2, and PTPRZ1 expression was markedly up‐regulated in type I g‐NENs. High IRS2 expression significantly correlated with a shorter time to recurrence. Conclusions Our study provides a comprehensive proteomic signature based on DIA‐LC/MS/MS and highlights high IRS2 expression as a potential prognostic marker for type I gNENs. 10.1002/rcm.9849 http://onlinelibrary.wiley.com/termsAndConditions#vor
doi_str_mv 10.1002/rcm.9849
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institution Wiley Open Access
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publishDate 2024
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spellingShingle Data‐independent acquisition combined with liquid chromatography mass spectrometry technique to detect prognostic protein markers in type I gastric neuroendocrine neoplasm
Meng Zhang
Xiuli Zheng
Chunyan Wang
Shengmian Li
Rapid Communications in Mass Spectrometry
Data‐independent acquisition combined with liquid chromatography mass spectrometry technique to detect prognostic protein markers in type I gastric neuroendocrine neoplasm Meng Zhang Xiuli Zheng Chunyan Wang Shengmian Li Rapid Communications in Mass Spectrometry Rationale This study used proteomics‐based data‐independent acquisition (DIA) technology with the aim of screening for differential expression proteins in type I gastric neuroendocrine neoplasm (g‐NEN). Methods Differential expression proteins in type I g‐NEN and peritumoral tissues were screened using DIA with liquid chromatography/tandem mass spectrometry (DIA‐LC/MS/MS). The identified proteins were then functionally analysed using bioinformatics methods. We selected the three most highly expressed proteins, combined with patients' clinical data, for prognostic analysis. Results Compared with peritumoral tissues, 224 proteins were up‐regulated, and 70 were down‐regulated. The most significantly enriched biological processes and pathways were vacuolar proton‐transporting V‐type ATPase complex assembly and metabolism‐related pathways. PCSK1, FBXO2, ACSL1, IRS2, and PTPRZ1 expression was markedly up‐regulated in type I g‐NENs. High IRS2 expression significantly correlated with a shorter time to recurrence. Conclusions Our study provides a comprehensive proteomic signature based on DIA‐LC/MS/MS and highlights high IRS2 expression as a potential prognostic marker for type I gNENs. 10.1002/rcm.9849 http://onlinelibrary.wiley.com/termsAndConditions#vor
title Data‐independent acquisition combined with liquid chromatography mass spectrometry technique to detect prognostic protein markers in type I gastric neuroendocrine neoplasm
topic Rapid Communications in Mass Spectrometry
url https://analyticalsciencejournals.onlinelibrary.wiley.com/doi/10.1002/rcm.9849