ArticleCommunications biology2019
Metabolic gene alterations impact the clinical aggressiveness and drug responses of 32 human cancers.
Article in Communications biology, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 51 papers.
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Who cites it
51 citing papers in PubMed.
- How mitochondrial heterogeneity fuels a dynamic organelle ecosystem.Communications biology · 2026Review
- Exome sequencing and metabolite profiling identifies genetic variants associated with altered metabolism in early-onset schizophrenia.iScience · 2026Article
- Metabolic pathway signatures define prognostic subtypes of lung adenocarcinoma.Discover oncology · 2026Article
- Lipoprotein Metabolism in Hematological Malignancies: A Role in Shaping the Tumor Cell Microenvironment?Metabolites · 2026Review
- Altered Expression of Mitochondrial Succinate Dehydrogenase Subunit D Influences Breast Cancer Progression.International journal of molecular sciences · 2026Article
- DeepMetabio-mCRC Screener: A Multi-Omics Deep Learning Framework for Early Risk Prediction and Biomarker Discovery in Colorectal Liver Metastasis.Computational and structural biotechnology journal · 2026Article
- A pan-cancer atlas of metabolic regulatory circuitries integrating multi-omic, immune, and clinical dimensions.Frontiers in molecular biosciences · 2026Article
- Advancing Non-Small-Cell Lung Cancer Management Through Multi-Omics Integration: Insights from Genomics, Metabolomics, and Radiomics.Diagnostics (Basel, Switzerland) · 2025Review
- Subtype-specific transcription factors affect polyamine metabolism and the tumor microenvironment in breast cancer.Cancer innovation · 2025Article
- Exploring Aerobic Energy Metabolism in Breast Cancer: A Mutational Profile of Glycolysis and Oxidative Phosphorylation.International journal of molecular sciences · 2024Article
- Tumor Biology Hides Novel Therapeutic Approaches to Diffuse Large B-Cell Lymphoma: A Narrative Review.International journal of molecular sciences · 2024Review
- Lipid metabolism in B cell biology.Molecular oncology · 2024Review
- Metabolic Contrasts: Fatty Acid Oxidation and Ketone Bodies in Healthy Brains vs. Glioblastoma Multiforme.International journal of molecular sciences · 2024Review
- Alterations in Plasma Lipid Profile before and after Surgical Removal of Soft Tissue Sarcoma.Metabolites · 2024Article
- A systematic pan-cancer study on deep learning-based prediction of multi-omic biomarkers from routine pathology images.Communications medicine · 2024Article
- Multi-omics analysis reveals critical metabolic regulators in bladder cancer.International urology and nephrology · 2024Article
- Metabolic subtypes and immune landscapes in esophageal squamous cell carcinoma: prognostic implications and potential for personalized therapies.BMC cancer · 2024Article
- Identification of two heterogeneous subtypes of hepatocellular carcinoma with distinct pathway activities and clinical outcomes based on gene set variation analysis.Frontiers in genetics · 2024Article
- Characterizing cancer metabolism from bulk and single-cell RNA-seq data using METAFlux.Nature communications · 2023Article
- Mutational landscape of cancer-driver genes across human cancers.Scientific reports · 2023Article
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Authors and funding
3 authors.
Funding
Abstract
Malignant cells reconfigure their metabolism to support oncogenic processes such as accelerated growth and proliferation. The mechanisms by which this occurs likely involve alterations to genes that encode metabolic enzymes. Here, using genomics data for 10,528 tumours of 32 different cancer types, we characterise the alterations of genes involved in various metabolic pathways. We find that mutations and copy number variations of metabolic genes are pervasive across all human cancers. Based on the frequencies of metabolic gene alterations, we further find that there are two distinct cancer supertypes that tend to be associated with different clinical outcomes. By utilising the known dose-response profiles of 825 cancer cell lines, we infer that cancers belonging to these supertypes are likely to respond differently to various anticancer drugs. Collectively our analyses define the foundational metabolic features of different cancer supertypes and subtypes upon which discriminatory strategies for treating particular tumours could be constructed.
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