<HashMap><database>biostudies-literature</database><scores/><additional><submitter>Wang Z</submitter><funding>the National Key R&amp;amp;D Program of China</funding><funding>the National Key R&amp;D Program of China</funding><pagination>368</pagination><full_dataset_link>https://www.ebi.ac.uk/biostudies/studies/S-EPMC8274036</full_dataset_link><repository>biostudies-literature</repository><omics_type>Unknown</omics_type><volume>21(1)</volume><pubmed_abstract>&lt;h4>Background&lt;/h4>Epstein-Barr virus-associated gastric cancer (EBVaGC) is the most common EBV-related malignancy. A comprehensive research for the protein expression patterns in EBVaGC established by high-throughput assay remains lacking. In the present study, the protein profile in EBVaGC tissue was explored and related functional analysis was performed.&lt;h4>Methods&lt;/h4>Epstein-Barr virus-encoded RNA (EBER) in situ hybridization (ISH) was applied to EBV detection in GC cases. Data-independent acquisition (DIA) mass spectrometry (MS) was performed for proteomics assay of EBVaGC. Functional analysis of identified proteins was conducted with bioinformatics methods. Immunohistochemistry (IHC) staining was employed to detect protein expression in tissue.&lt;h4>Results&lt;/h4>The proteomics study fo</pubmed_abstract><journal>Cancer cell international</journal><pubmed_title>Identification of differential proteomics in Epstein-Barr virus-associated gastric cancer and related functional analysis.</pubmed_title><pmcid>PMC8274036</pmcid><funding_grant_id>2017YFC0907402</funding_grant_id><pubmed_authors>Lv Z</pubmed_authors><pubmed_authors>Sun L</pubmed_authors><pubmed_authors>Xu Q</pubmed_authors><pubmed_authors>Wang Z</pubmed_authors><pubmed_authors>Yuan Y</pubmed_authors></additional><is_claimable>false</is_claimable><name>Identification of differential proteomics in Epstein-Barr virus-associated gastric cancer and related functional analysis.</name><description>&lt;h4>Background&lt;/h4>Epstein-Barr virus-associated gastric cancer (EBVaGC) is the most common EBV-related malignancy. A comprehensive research for the protein expression patterns in EBVaGC established by high-throughput assay remains lacking. In the present study, the protein profile in EBVaGC tissue was explored and related functional analysis was performed.&lt;h4>Methods&lt;/h4>Epstein-Barr virus-encoded RNA (EBER) in situ hybridization (ISH) was applied to EBV detection in GC cases. Data-independent acquisition (DIA) mass spectrometry (MS) was performed for proteomics assay of EBVaGC. Functional analysis of identified proteins was conducted with bioinformatics methods. Immunohistochemistry (IHC) staining was employed to detect protein expression in tissue.&lt;h4>Results&lt;/h4>The proteomics study fo</description><dates><release>2021-01-01T00:00:00Z</release><publication>2021 Jul</publication><modification>2026-05-08T21:36:46.059Z</modification><creation>2022-02-10T19:41:11.991Z</creation></dates><accession>S-EPMC8274036</accession><cross_references><pubmed>34247602</pubmed><doi>10.1186/s12935-021-02077-6</doi></cross_references></HashMap>