<HashMap><database>iProX</database><scores/><additional><omics_type>Proteomics</omics_type><submitter>Xiaolong Liu</submitter><species>Homo Sapiens</species><full_dataset_link>http://www.iprox.org/page/project.html?id=IPX0006844000</full_dataset_link><submitter_email>xiaoloong.liu@gmail.com</submitter_email><submitter_affiliation>The Liver Center of Fujian Province</submitter_affiliation><sample_protocol></sample_protocol><repository>iProX</repository><data_protocol></data_protocol></additional><is_claimable>false</is_claimable><name>Proteomic analysis identifies GSN as non-invasive circulating serum biomarker for predicting early recurrence in hepatocellular carcinoma</name><description>Hepatocellular carcinoma (HCC) is susceptible to early recurrence and lacks effective predictive markers. Mass Spectrometry (MS)-based proteomics has emerged as a potent tool for identifying cancer biomarker profiles in various bodily fluids. In this study, we established a MS-based biomarker discovery and validation workflow. Firstly, the workflow successfully identified a total of 447 serum proteins in 179 individuals (126 HCC patients and 53 liver cirrhosis (LC)) using the Data Independent Acquisition-MS (DIA-MS) strategy. Then, candidate serum biomarkers were validated in 192 individuals (142 HCC patients and 50 LC patients) using Parallel Reaction Monitoring (PRM) strategy.</description><dates><publication>Fri Dec 15 00:00:00 GMT 2023</publication></dates><accession>PXD047852</accession><cross_references><TAXONOMY>9606</TAXONOMY></cross_references></HashMap>