The DOI matches its Crossref record; 320 of the 320 references it cites were found in a registry or an index.
Lipid metabolic reprogramming in tumor microenvironment: from mechanisms to therapeutics
Open accessAbstract
Lipid metabolic reprogramming is an emerging hallmark of cancer. In order to sustain uncontrolled proliferation and survive in unfavorable environments that lack oxygen and nutrients, tumor cells undergo metabolic transformations to exploit various ways of acquiring lipid and increasing lipid oxidation. In addition, stromal cells and immune cells in the tumor microenvironment also undergo lipid metabolic reprogramming, which further affects tumor functional phenotypes and immune responses. Given that lipid metabolism plays a critical role in supporting cancer progression and remodeling the tumor microenvironment, targeting the lipid metabolism pathway could provide a novel approach to cancer treatment. This review seeks to: (1) clarify the overall landscape and mechanisms of lipid metabolic reprogramming in cancer, (2) summarize the lipid metabolic landscapes within stromal cells and immune cells in the tumor microenvironment, and clarify their roles in tumor progression, and (3) summarize potential therapeutic targets for lipid metabolism, and highlight the potential for combining such approaches with other anti-tumor therapies to provide new therapeutic opportunities for cancer patients.
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1 retracted
Wang, L., Li, C., Song, Y., & Yan, Z. (2020) · Archives of Biochemistry and Biophysics · doi:10.1016/j.abb.2020.108664 · Cited by 55
RetractedHallmarks of Cancer: The Next Generation
Hanahan, D., & Weinberg, R. A. (2011) · Cell · doi:10.1016/j.cell.2011.02.013 · Cited by 66,590
PD-1 blockade induces responses by inhibiting adaptive immune resistance
Tumeh, P. C., Harview, C. L., Yearley, J. H., Shintaku, I. P., Taylor, E. J. M., Robert, L., Chmielowski, B., Spasic, M., Henry, G., Ciobanu, V., et al. (2014) · Nature · doi:10.1038/nature13954 · Cited by 6,609
The emerging hallmarks of cancer metabolism
Pavlova, N. N., & Thompson, C. B. (2016) · Cell Metabolism · doi:10.1016/j.cmet.2015.12.006 · Cited by 5,926
The immune contexture in human tumours: impact on clinical outcome
Fridman, W. H., Pagès, F., Sautès-Fridman, C., & Galon, J. (2012) · Nature reviews. Cancer · doi:10.1038/nrc3245 · Cited by 4,981
The biology and function of fibroblasts in cancer
Kalluri, R. (2016) · Nature Reviews Cancer · doi:10.1038/nrc.2016.73 · Cited by 4,366
Cancer immunotherapy comes of age
Mellman, I., Coukos, G., & Dranoff, G. (2011) · Nature · doi:10.1038/nature10673 · Cited by 3,893
A framework for advancing our understanding of cancer-associated fibroblasts
Sahai, E., Astsaturov, I., Cukierman, E., DeNardo, D. G., Egeblad, M., Evans, R. M., Fearon, D., Greten, F. R., Hingorani, S. R., Hunter, T., et al. (2020) · Nature Reviews Cancer · doi:10.1038/s41568-019-0238-1 · Cited by 3,863 · cited 1×
“They synthesize and secrete lipids and bioactive lipid signaling molecules, playing an essential role in tumor metabolic alteration, proliferation, invasion and immune responses [134].”
Background(1989) · PubMed · Cited by 3,343
Metabolic Competition in the Tumor Microenvironment Is a Driver of Cancer Progression
Chang, C.-H., Qiu, J., O’Sullivan, D., Buck, M. D., Noguchi, T., Curtis, J. D., Chen, Q., Gindin, M., Gubin, M. M., van der Windt, G. J. W., et al. (2015) · Cell · doi:10.1016/j.cell.2015.08.016 · Cited by 3,331
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Lu, Q., Kou, D., Lou, S., Ashrafizadeh, M., Aref, A. R., Canadas, I., Tian, Y., Niu, X., Wang, Y., Torabian, P., et al. (2024) · Journal of Hematology & Oncology · doi:10.1186/s13045-024-01535-8 · Cited by 373
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
Metadata
- Authors
- Jin, H.-R., Wang, J., Wang, Z.-J., Xi, M.-J., Xia, B.-H., Deng, K., & Yang, J.-L.
- Venue
- Journal of Hematology & Oncology
- Published
- 2023-09-12
- Volume
- 16
- Issue
- 1
- Pages
- 103-103
- ISSN
- 1756-8722 (ISSN-L)
- OpenAlex
- W4386625232
- Cited by
- 481
- References
- 320
- FWCI
- 46.69
- Type
- journal article
- Language
- en
- Open access
- gold
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- Jin, H.-R., Wang, J., Wang, Z.-J., Xi, M.-J., Xia, B.-H., Deng, K., & Yang, J.-L. (2023). Lipid metabolic reprogramming in tumor microenvironment: from mechanisms to therapeutics. Journal of Hematology & Oncology. https://doi.org/10.1186/s13045-023-01498-2
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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
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