{"database":"biostudies-literature","file_versions":[],"scores":null,"additional":{"omics_type":["Unknown"],"volume":["30(1)"],"submitter":["Liu E"],"pubmed_abstract":["<h4>Objective</h4>This study aimed to establish the G-Risk scoring system, a prognostic model based on inflammatory and tumor biomarkers, to enhance survival predictions for gastric cancer patients without lymphovascular invasion (LVI) and guide more tailored treatment strategies.<h4>Methods</h4>The key biomarkers associated with survival outcomes were identified using univariate and multivariate Cox regression analyses. These biomarkers were selected from a range of inflammatory and tumor markers to construct the G-Risk scoring system, which was specifically developed to improve prognostic accuracy in patients without LVI.<h4>Results</h4>The G-Risk score effectively stratified patients into high-risk and low-risk groups, achieving an AUC of 0.660, demonstrating strong predictive performan"],"journal":["European journal of medical research"],"pagination":["308"],"full_dataset_link":["https://www.ebi.ac.uk/biostudies/studies/S-EPMC12008984"],"repository":["biostudies-literature"],"pubmed_title":["Development of the G-Risk scoring system utilizing inflammatory and tumor biomarkers to improve prognostic accuracy in gastric cancer patients without lymphovascular invasion."],"pmcid":["PMC12008984"],"pubmed_authors":["Shi L","Lv L","Li C","Xu B","Guo H","Liu E"],"additional_accession":[]},"is_claimable":false,"name":"Development of the G-Risk scoring system utilizing inflammatory and tumor biomarkers to improve prognostic accuracy in gastric cancer patients without lymphovascular invasion.","description":"<h4>Objective</h4>This study aimed to establish the G-Risk scoring system, a prognostic model based on inflammatory and tumor biomarkers, to enhance survival predictions for gastric cancer patients without lymphovascular invasion (LVI) and guide more tailored treatment strategies.<h4>Methods</h4>The key biomarkers associated with survival outcomes were identified using univariate and multivariate Cox regression analyses. These biomarkers were selected from a range of inflammatory and tumor markers to construct the G-Risk scoring system, which was specifically developed to improve prognostic accuracy in patients without LVI.<h4>Results</h4>The G-Risk score effectively stratified patients into high-risk and low-risk groups, achieving an AUC of 0.660, demonstrating strong predictive performan","dates":{"release":"2025-01-01T00:00:00Z","publication":"2025 Apr","modification":"2025-07-03T03:04:56.902Z","creation":"2025-07-03T03:04:56.902Z"},"accession":"S-EPMC12008984","cross_references":{"pubmed":["40251687"],"doi":["10.1186/s40001-025-02540-4"]}}