ReviewCancers2020
Manipulation of Glucose Availability to Boost Cancer Immunotherapies.
Review in Cancers, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 18 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
18 citing papers in PubMed, 23 citations in OpenAlex.
- Glycolytic reprogramming in cancer: immune crosstalk, nutrient competition, and supportive care perspectives.Frontiers in immunology · 2026Review
- Emerging strategies in CAR-T cell therapy for acute myeloid leukemia: overcoming heterogeneity and improving safety through dual-antigen targeting.Experimental hematology & oncology · 2025Review
- Targeting Glucose Transporter 1 (GLUT1) in Cancer: Molecular Mechanisms and Nanomedicine Applications.International journal of nanomedicine · 2025Review
- Revolutionizing Cancer Treatment: Unveiling the Power of CAR T-cell Therapy.Current pharmaceutical design · 2025Review
- Stable triangle: nanomedicine-based synergistic application of phototherapy and immunotherapy for tumor treatment.Journal of nanobiotechnology · 2024Review
- Metabolic dialogues: regulators of chimeric antigen receptor T cell function in the tumor microenvironment.Molecular oncology · 2024Review
- Immunometabolism: a new dimension in immunotherapy resistance.Frontiers of medicine · 2023Review
- The current landscape of CAR T-cell therapy for solid tumors: Mechanisms, research progress, challenges, and counterstrategies.Frontiers in immunology · 2023Review
- Similarities and divergences in the metabolism of immune cells in cancer and helminthic infections.Frontiers in oncology · 2023Review
- Strategies to enhance CAR-T persistence.Biomarker research · 2022Review
- Role of CAR T Cell Metabolism for Therapeutic Efficacy.Cancers · 2022Review
- Oxidative Stress in Cancer Immunotherapy: Molecular Mechanisms and Potential Applications.Antioxidants (Basel, Switzerland) · 2022Review
- Metabolism heterogeneity in melanoma fuels deactivation of immunotherapy: Predict before protect.Frontiers in oncology · 2022Review
- Optimization of metabolism to improve efficacy during CAR-T cell manufacturing.Journal of translational medicine · 2021Review
- Metabolic Interplay between the Immune System and Melanoma Cells: Therapeutic Implications.Biomedicines · 2021Review
- Metabolic Basis of Creatine in Health and Disease: A Bioinformatics-Assisted Review.Nutrients · 2021Review
- The Role of Metabolism in Tumor Immune Evasion: Novel Approaches to Improve Immunotherapy.Biomedicines · 2021Review
- The Glycolytic Pathway as a Target for Novel Onco-Immunology Therapies in Pancreatic Cancer.Molecules (Basel, Switzerland) · 2021Review
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 at 3 institutions in 1 country.
Funding
Abstract
The orchestration of T cell responses is intimately linked to the execution of metabolic processes, both in homeostasis and disease. In cancer tissues, metabolic alterations that characterize malignant transformation profoundly affect the composition of the immune microenvironment and the accomplishment of an effective anti-tumor response. The growing understanding of the metabolic regulation of immune cell function has shed light on the possibility to manipulate metabolic pathways as a strategy to improve T cell function in cancer. Among others, glucose metabolism through the glycolytic pathway is central in shaping T cell responses and emerges as an ideal target to improve cancer immunotherapy. However, metabolic manipulation requires a deep level of control over side-effects and development of biomarkers of response. Here, we summarize the metabolic control of T cell function and focus on the implications of metabolic manipulation for the design of immunotherapeutic strategies. Integrating our understanding of T cell function and metabolism will hopefully foster the forthcoming development of more effective immunotherapeutic strategies.
Indexed as
Identifiers
What OpenQuestion holds
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.