{"database":"biostudies-literature","file_versions":[],"scores":null,"additional":{"submitter":["Ralli GP"],"funding":["Breast Cancer Research Foundation","Cancer Research UK","National Institute for Health Research (NIHR)","Biotechnology and Biological Sciences Research Council"],"pagination":["34"],"full_dataset_link":["https://www.ebi.ac.uk/biostudies/studies/S-EPMC9115966"],"repository":["biostudies-literature"],"omics_type":["Unknown"],"volume":["24(1)"],"pubmed_abstract":["<h4>Background</h4>PET imaging of 18F-fluorodeoxygucose (FDG) is used widely for tumour staging and assessment of treatment response, but the biology associated with FDG uptake is still not fully elucidated. We therefore carried out gene set enrichment analyses (GSEA) of RNA sequencing data to find KEGG pathways associated with FDG uptake in primary breast cancers.<h4>Methods</h4>Pre-treatment data were analysed from a window-of-opportunity study in which 30 patients underwent static and dynamic FDG-PET and tumour biopsy. Kinetic models were fitted to dynamic images, and GSEA was performed for enrichment scores reflecting Pearson and Spearman coefficients of correlations between gene expression and imaging.<h4>Results</h4>A total of 38 pathways were associated with kinetic model flux-const"],"journal":["Breast cancer research : BCR"],"pubmed_title":["Radiogenomic analysis of primary breast cancer reveals [18F]-fluorodeoxglucose dynamic flux-constants are positively associated with immune pathways and outperform static uptake measures in associating with glucose metabolism."],"pmcid":["PMC9115966"],"funding_grant_id":["28990","II-LB-0716-20006","18974","BB/M01224/1","C5255/A16466","BCRF-18-064"],"pubmed_authors":["Carter RD","Patel N","Gleeson F","Harris AL","Ralli GP","McGowan DR","Buffa FM","Teoh EJ","Liu D","Lord SR","Fenwick JD","Cheng WC"],"additional_accession":[]},"is_claimable":false,"name":"Radiogenomic analysis of primary breast cancer reveals [18F]-fluorodeoxglucose dynamic flux-constants are positively associated with immune pathways and outperform static uptake measures in associating with glucose metabolism.","description":"<h4>Background</h4>PET imaging of 18F-fluorodeoxygucose (FDG) is used widely for tumour staging and assessment of treatment response, but the biology associated with FDG uptake is still not fully elucidated. We therefore carried out gene set enrichment analyses (GSEA) of RNA sequencing data to find KEGG pathways associated with FDG uptake in primary breast cancers.<h4>Methods</h4>Pre-treatment data were analysed from a window-of-opportunity study in which 30 patients underwent static and dynamic FDG-PET and tumour biopsy. Kinetic models were fitted to dynamic images, and GSEA was performed for enrichment scores reflecting Pearson and Spearman coefficients of correlations between gene expression and imaging.<h4>Results</h4>A total of 38 pathways were associated with kinetic model flux-const","dates":{"release":"2022-01-01T00:00:00Z","publication":"2022 May","modification":"2026-05-09T17:36:59.05Z","creation":"2024-11-10T08:43:21.546Z"},"accession":"S-EPMC9115966","cross_references":{"pubmed":["35581637"],"doi":["10.1186/s13058-022-01529-9"]}}