ReviewPharmaceutics2022
Metabolic Reprogramming in Cancer Cells: Emerging Molecular Mechanisms and Novel Therapeutic Approaches.
Review in Pharmaceutics, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 88 papers.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
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.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
88 citing papers in PubMed, 132 citations in OpenAlex.
- A Phase II Clinical Study on Apatinib Plus Vinorelbine in Refractory HER2-Negative Breast Cancer and its Metabolic Implications of Drug Resistance.Current cancer drug targets · 2025Trial
- A State-Gated Metallo-DNAzyme Framework Programs Tumor Stress Vulnerability Through Metabolic Licensing.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2026Article
- Preferential localization of intratumoural bacteria in breast cancer revealed by fluorescence in situ hybridization.World journal of microbiology & biotechnology · 2026Article
- Exosomal circ-ZNF652 Mediates TGF-β1-Induced Epithelial-Mesenchymal Transition and Glycolytic Reprogramming to Promote Hepatocellular Carcinoma Progression.Journal of microbiology and biotechnology · 2026Article
- The Emerging Role of N-Acetylaspartate in Cancer.International journal of molecular sciences · 2026Review
- Metabolic-immune interactions in gastric cancer T cells: A single-cell atlas for prognostic biomarker identification.Quantitative biology (Beijing, China) · 2026Article
- FGFR3 oncogenic activation drives oxidative metabolic reprogramming in bladder cancer: a systems metabolomics approach.Communications biology · 2026Article
- FASN for diffuse malignant peritoneal mesothelioma: a prognostic biomarker after CRS+HIPEC and a therapeutic target.Journal of translational medicine · 2026Article
- Plasma acylcarnitine dysregulation associated with CPT1-mediated metabolism contributes to oral carcinogenesis.Scientific reports · 2026Article
- Deciphering autophagy-metabolism interactions in cancer drug resistance: a comprehensive review.Cancer chemotherapy and pharmacology · 2026Review
- Plant-Derived Modulators of Tumor Metabolism as Novel, Efficacious, and Low-Toxicity Therapeutic Agents for Cancer Treatment.Molecules (Basel, Switzerland) · 2026Review
- DNMT3A in cancer: from epigenetic writer to oncogenic driver.Clinical epigenetics · 2026Review
- KRT80 promotes colon adenocarcinoma progression via stat3 pathway activation and immune microenvironment remodeling.Translational cancer research · 2026Article
- Glyphosate-Induced Metabolic and Immune Modulation in Hepatoma Cells: Identification of Key Genes as Diagnostic and Therapeutic Targets Using an In Silico Systems Biology Approach.Journal of xenobiotics · 2026Article
- 3D "Emboli" Culture Models Epithelial Breast Cancer Cell Oxidative Mitochondrial Metabolism with Relevance for Lung Metastasis.Cancer research communications · 2026Article
- Engineering combination nanomedicines to overcome cancer resistance.RSC advances · 2026Review
- Cancer metabolism: from the Warburg effect to precision therapy.Frontiers in immunology · 2026Review
- CBX8 suppresses autophagy-dependent senescence in colorectal cancer by modulating the mTOR signaling pathway.International journal of biological sciences · 2026Article
- Efficacy and Mechanisms of CDK4/6 Inhibitors in Breast Cancer: Advancing Targeted Therapeutic Strategies.Oncology research · 2026Review
- Bone marrow mesenchymal stromal cells metabolic reprogramming in systemic lupus erythematosus: remodeling of bone marrow microenvironment and regulation of immune cell fate.Frontiers in immunology · 2026Review
28 more citing papers are in PubMed but not listed here.
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
9 authors at 3 institutions in 3 countries.
Funding
Abstract
The constant changes in cancer cell bioenergetics are widely known as metabolic reprogramming. Reprogramming is a process mediated by multiple factors, including oncogenes, growth factors, hypoxia-induced factors, and the loss of suppressor gene function, which support malignant transformation and tumor development in addition to cell heterogeneity. Consequently, this hallmark promotes resistance to conventional anti-tumor therapies by adapting to the drastic changes in the nutrient microenvironment that these therapies entail. Therefore, it represents a revolutionary landscape during cancer progression that could be useful for developing new and improved therapeutic strategies targeting alterations in cancer cell metabolism, such as the deregulated mTOR and PI3K pathways. Understanding the complex interactions of the underlying mechanisms of metabolic reprogramming during cancer initiation and progression is an active study field. Recently, novel approaches are being used to effectively battle and eliminate malignant cells. These include biguanides, mTOR inhibitors, glutaminase inhibition, and ion channels as drug targets. This review aims to provide a general overview of metabolic reprogramming, summarise recent progress in this field, and emphasize its use as an effective therapeutic target against cancer.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.