The DOI matches its Crossref record; 274 of the 274 references it cites were found in a registry or an index.
Mechanisms of Metabolic Reprogramming in Cancer Cells Supporting Enhanced Growth and Proliferation
Open accessAbstract
Cancer cells alter metabolic processes to sustain their characteristic uncontrolled growth and proliferation. These metabolic alterations include (1) a shift from oxidative phosphorylation to aerobic glycolysis to support the increased need for ATP, (2) increased glutaminolysis for NADPH regeneration, (3) altered flux through the pentose phosphate pathway and the tricarboxylic acid cycle for macromolecule generation, (4) increased lipid uptake, lipogenesis, and cholesterol synthesis, (5) upregulation of one-carbon metabolism for the production of ATP, NADH/NADPH, nucleotides, and glutathione, (6) altered amino acid metabolism, (7) metabolism-based regulation of apoptosis, and (8) the utilization of alternative substrates, such as lactate and acetate. Altered metabolic flux in cancer is controlled by tumor-host cell interactions, key oncogenes, tumor suppressors, and other regulatory molecules, including non-coding RNAs. Changes to metabolic pathways in cancer are dynamic, exhibit plasticity, and are often dependent on the type of tumor and the tumor microenvironment, leading in a shift of thought from the Warburg Effect and the “reverse Warburg Effect” to metabolic plasticity. Understanding the complex nature of altered flux through these multiple pathways in cancer cells can support the development of new therapies.
Overview
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Integrity signals
Registry
Cites
Statistics
Verification
Claims the paper makes
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
The self-check needs the paper’s full text.
Citations
Cites
1 retracted
Li, J., Liu, J., Liang, Z., He, F., Yang, L., Li, P., Jiang, Y., Wang, B., Zhou, C., Wang, Y., et al. (2017) · Cell Death & Disease · doi:10.1038/cddis.2017.46 · Cited by 43
RetractedUnderstanding the Warburg Effect: The Metabolic Requirements of Cell Proliferation
Vander Heiden, M. G., Cantley, L. C., & Thompson, C. B. (2009) · Science · doi:10.1126/science.1160809 · Cited by 16,197
Warburg, O. (1956) · Science · doi:10.1126/science.123.3191.309 · Cited by 13,425
Fatty acid synthase and the lipogenic phenotype in cancer pathogenesis
Menendez, J. A., & Lupu, R. (2007) · Nature Reviews Cancer · doi:10.1038/nrc2222 · Cited by 2,941
Gao, P., Tchernyshyov, I., Chang, T.-C., Lee, Y.-S., Kita, K., Ochi, T., Zeller, K. I., De Marzo, A. M., Van Eyk, J. E., Mendell, J. T., et al. (2009) · Nature · doi:10.1038/nature07823 · Cited by 2,124
Cellular Fatty Acid Metabolism and Cancer
Currie, E., Schulze, A., Zechner, R., Walther, T. C., & Farese, R. V. (2013) · Cell Metabolism · doi:10.1016/j.cmet.2013.05.017 · Cited by 2,123
From Krebs to clinic: glutamine metabolism to cancer therapy
Altman, B. J., Stine, Z. E., & Dang, C. V. (2016) · Nature Reviews Cancer · doi:10.1038/nrc.2016.71 · Cited by 2,119
Ras, PI(3)K and mTOR signalling controls tumour cell growth
Shaw, R. J., & Cantley, L. C. (2006) · Nature · doi:10.1038/nature04869 · Cited by 2,019
Wise, D. R., DeBerardinis, R. J., Mancuso, A., Sayed, N., Zhang, X.-Y., Pfeiffer, H. K., Nissim, I., Daikhin, E., Yudkoff, M., McMahon, S. B., et al. (2008) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.0810199105 · Cited by 2,001
Glutamine supports pancreatic cancer growth through a KRAS-regulated metabolic pathway
Son, J., Lyssiotis, C. A., Ying, H., Wang, X., Hua, S., Ligorio, M., Perera, R. M., Ferrone, C. R., Mullarky, E., Shyh-Chang, N., et al. (2013) · Nature · doi:10.1038/nature12040 · Cited by 1,990
Cited by
Altered metabolism in cancer: insights into energy pathways and therapeutic targets
Tufail, M., Jiang, C.-H., & Li, N. (2024) · Molecular Cancer · doi:10.1186/s12943-024-02119-3 · Cited by 534
Targeting glycolysis in non-small cell lung cancer: Promises and challenges
Xu, J.-Q., Fu, Y.-L., Zhang, J., Zhang, K.-Y., Ma, J., Tang, J.-Y., Zhang, Z.-W., & Zhou, Z.-Y. (2022) · Frontiers in Pharmacology · doi:10.3389/fphar.2022.1037341 · Cited by 75
The Role of Solute Carrier Transporters in Efficient Anticancer Drug Delivery and Therapy
Puris, E., Fricker, G., & Gynther, M. (2023) · Pharmaceutics · doi:10.3390/pharmaceutics15020364 · Cited by 58
Metabolic reprogramming: The driving force behind cancer drug resistance
El-Sehrawy, A. A. M. A., Hsu, C.-Y., Alkhathami, A. G., Chandra, M., Basunduwah, T. S., Malathi, H., Senapati, J. N., Gautam, A., Kadhem, M., & Yasin, H. A. (2025) · Seminars in Oncology · doi:10.1016/j.seminoncol.2025.152392 · Cited by 11
Flores-López, L. A., De la Mora-De la Mora, I., Malagón-Reyes, C. M., García-Torres, I., Martínez-Pérez, Y., López-Herrera, G., Hernández-Alcántara, G., León-Avila, G., López-Velázquez, G., Olaya-Vargas, A., et al. (2024) · Biomolecules · doi:10.3390/biom14101295 · Cited by 6
Metadata
- Authors
- Schiliro, C., & Firestein, B. L.
- Venue
- Cells
- Publisher
- MDPI AG
- Published
- 2021-04-29
- Volume
- 10
- Issue
- 5
- Pages
- 1056
- ISSN
- 2073-4409 (ISSN-L)
- OpenAlex
- W3158660301
- Cited by
- 615
- References
- 274
- FWCI
- 29.61
- Type
- journal article
- Language
- en
- Open access
- gold
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review
How to cite
Cite CoChat for the checks on this page, and the paper for its own findings.
- This page
- CoChat. (2026). Citation check: Mechanisms of Metabolic Reprogramming in Cancer Cells Supporting Enhanced Growth and Proliferation. https://app.cochat.ai/papers/10.3390/cells10051056
- The paper
- Schiliro, C., & Firestein, B. L. (2021). Mechanisms of Metabolic Reprogramming in Cancer Cells Supporting Enhanced Growth and Proliferation. Cells. https://doi.org/10.3390/cells10051056
Data sources
Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.
