SynthesisGenes, chromosomes & cancer2024
Aberrant Energy Metabolism in Tumors and Potential Therapeutic Targets.
Synthesis in Genes, chromosomes & cancer, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.
What it found
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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.
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.
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Who cites it
11 citing papers in PubMed.
- PI3K-Akt signaling network crosstalk in cerebral ischemia/reperfusion injury: Mechanisms and therapeutic implications.Chinese medical journal · 2026Review
- The dual role of AMPK in cancer metabolic reprogramming.Molecular biology reports · 2026Review
- STAT1/3/5 Functions Driving Lipid and Energy Metabolism in Cancer and Immunity.International journal of molecular sciences · 2026Review
- A bezafibrate bearing Pt(IV) prodrug triggers ferroptosis via modulating lipid metabolism in lung cancer cells.Journal of biological inorganic chemistry : JBIC : a publication of the Society of Biological Inorganic Chemistry · 2026Article
- Acetate Metabolism in Thyroid Cancer Progression.International journal of molecular sciences · 2026Article
- Plant-derived exosomes: an emerging delivery platform for cancer therapy.Journal of nanobiotechnology · 2026Review
- Amino Acid Metabolic Enzymes in Gastric Cancer: Roles and Mechanisms in Tumorigenesis and Progression.Oncology research · 2026Review
- Cholesterol metabolism and cancer: Molecular mechanisms, immune regulation and an epidemiological perspective (Review).International journal of molecular medicine · 2025Review
- Review
- AhR and STAT3: A Dangerous Duo in Chemical Carcinogenesis.International journal of molecular sciences · 2025Review
- Exploring the critical role of SDHA in breast cancer proliferation: implications for novel therapeutic strategies.American journal of translational research · 2025Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
5 authors.
Funding
Abstract
Energy metabolic reprogramming is frequently observed during tumor progression as tumor cells necessitate adequate energy production for rapid proliferation. Although current medical research shows promising prospects in studying the characteristics of tumor energy metabolism and developing anti-tumor drugs targeting energy metabolism, there is a lack of systematic compendiums and comprehensive reviews in this field. The objective of this study is to conduct a systematic review on the characteristics of tumor cells' energy metabolism, with a specific focus on comparing abnormalities between tumor and normal cells, as well as summarizing potential targets for tumor therapy. Additionally, this review also elucidates the aberrant mechanisms underlying four major energy metabolic pathways (glucose, lipid, glutamine, and mitochondria-dependent) during carcinogenesis and tumor progression. Through the utilization of graphical representations, we have identified anomalies in crucial energy metabolism pathways, encompassing transporter proteins (glucose transporter, CD36, and ASCT2), signaling molecules (Ras, AMPK, and PTEN), as well as transcription factors (Myc, HIF-1α, CREB-1, and p53). The key molecules responsible for aberrant energy metabolism in tumors may serve as potential targets for cancer therapy. Therefore, this review provides an overview of the distinct energy-generating pathways within tumor cells, laying the groundwork for developing innovative strategies for precise cancer treatment.
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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.