ArticleBiochemical and biophysical research communications2019
Prognostic significance of high metabolic activity in breast cancer: PET signature in breast cancer.
Article in Biochemical and biophysical research communications, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
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Who cites it
8 citing papers in PubMed, 15 citations in OpenAlex.
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- Diagnostic and prognostic significance of SLC50A1 expression in patients with primary early breast cancer.Experimental and therapeutic medicine · 2022Article
- Integrated analysis reveals the participation of IL4I1, ITGB7, and FUT7 in reshaping the TNBC immune microenvironment by targeting glycolysis.Annals of medicine · 2021Article
- Identification of a glycolysis-related gene signature for survival prediction of ovarian cancer patients.Cancer medicine · 2021Article
- Prognostic Prediction of BRCA Mutations byMolecular imaging and radionuclide therapy · 2021Article
- Conventional Nanosized Drug Delivery Systems for Cancer Applications.Advances in experimental medicine and biology · 2021Article
- Prediction of Overall Survival Among Female Patients With Breast Cancer Using a Prognostic Signature Based on 8 DNA Repair-Related Genes.JAMA network open · 2020Article
- Genomic Signature of the Standardized Uptake Value inCancers · 2020Article
Corrections and comments
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Authors and funding
13 authors at 4 institutions in 2 countries.
Funding
Abstract
High metabolic activity, reflected in increased glucose uptake, is one of the hallmarks of many cancers including breast cancer. However, not all cancers avidly take up glucose, suggesting heterogeneity in their metabolic demand. Thus, we aim to generate a genomic signature of glucose hypermetabolism in breast cancer and examine its clinical relevance. To identify genes significantly associated with glucose uptake, gene expression data were analyzed together with the standardized uptake values (SUVmax) of
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Registered trials
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