ArticleGenetics research international2014
Generalized portrait of cancer metabolic pathways inferred from a list of genes overexpressed in cancer.
Article in Genetics research international, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.
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Who cites it
12 citing papers in PubMed, 16 citations in OpenAlex.
- Metabolic gene expression-based stratification and prognostic risk predictive model of head and neck squamous cell carcinoma.NPJ systems biology and applications · 2026Article
- Nanomedicines Targeting Metabolic Pathways in the Tumor Microenvironment: Future Perspectives and the Role of AI.Metabolites · 2025Review
- Effects of exposure to trihalomethanes in swimming pool waters on metabolomics profile: a randomized parallel design trial.Journal of environmental health science & engineering · 2024Article
- Untargeted serum metabolomics reveals potential biomarkers and metabolic pathways associated with the progression of gastroesophageal cancer.BMC cancer · 2023Article
- Anticancer Profile of Rhodanines: Structure-Activity Relationship (SAR) and Molecular Targets-A Review.Molecules (Basel, Switzerland) · 2022Review
- Pyruvate kinase M2 is a marker of poor prognosis in lung adenocarcinoma but not lung squamous cell carcinoma.Translational cancer research · 2020Article
- Measurement of Conditional Relatedness Between Genes Using Fully Convolutional Neural Network.Frontiers in genetics · 2019Article
- Article
- Volatilomic insight of head and neck cancer via the effects observed on saliva metabolites.Scientific reports · 2018Article
- Mutational signatures and mutable motifs in cancer genomes.Briefings in bioinformatics · 2018Review
- ENO1 Overexpression in Pancreatic Cancer Patients and Its Clinical and Diagnostic Significance.Gastroenterology research and practice · 2018Article
- ccmGDB: a database for cancer cell metabolism genes.Nucleic acids research · 2016Article
Corrections and comments
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Authors and funding
3 authors at 1 institution in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
More than half a century from postulated Warburg theory of cancer cells origin, a question of changed metabolism in cancer is again taking the central place. Generalized picture of cancer metabolism was replaced by analysis of signaling and oncogenes in each type of cancer for several decades. However, now empowered with wealth of knowledge about tumor suppressors, oncogenes, and signaling pathways, reprogramming of cellular metabolism (e.g., increased glycolysis to respiration ratio in cancer cells) reemerged as an important element of cancer progression. To analyze level of expression of various proteins including metabolic enzymes across various cancers we used dbEST and Unigene data. We delineated a list of genes that are overexpressed in different types of cancer. We also grouped overexpressed enzymes into KEGG pathways and analyzed adjacent pathways to describe enzymatic reactions that take place in cancer cells and to identify major players that are abundant in cancer protein machinery. Glycolysis/gluconeogenesis and oxidative phosphorylation are the most abundant pathways although several other pathways are enriched in genes from our list. Ubiquitously overexpressed genes could be marked as nonspecific cancer-associated genes when analyzing genes that are overexpressed in certain types of cancer. Thus the list of overexpressed genes may be a useful tool for cancer research.
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Registered trials
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