The DOI matches its Crossref record; 361 of the 361 references it cites were found in a registry or an index.
Metabolomics in cancer research and emerging applications in clinical oncology
Open accessAbstract
Cancer has myriad effects on metabolism that include both rewiring of intracellular metabolism to enable cancer cells to proliferate inappropriately and adapt to the tumor microenvironment, and changes in normal tissue metabolism. With the recognition that fluorodeoxyglucose‐positron emission tomography imaging is an important tool for the management of many cancers, other metabolites in biological samples have been in the spotlight for cancer diagnosis, monitoring, and therapy. Metabolomics is the global analysis of small molecule metabolites that like other ‐omics technologies can provide critical information about the cancer state that are otherwise not apparent. Here, the authors review how cancer and cancer therapies interact with metabolism at the cellular and systemic levels. An overview of metabolomics is provided with a focus on currently available technologies and how they have been applied in the clinical and translational research setting. The authors also discuss how metabolomics could be further leveraged in the future to improve the management of patients with cancer.
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Cites
Hallmarks of Cancer: The Next Generation
Hanahan, D., & Weinberg, R. A. (2011) · Cell · doi:10.1016/j.cell.2011.02.013 · Cited by 66,590
Understanding 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
MGMT Gene Silencing and Benefit from Temozolomide in Glioblastoma
Hegi, M. E., Diserens, A.-C., Gorlia, T., Hamou, M.-F., de Tribolet, N., Weller, M., Kros, J. M., Hainfellner, J. A., Mason, W., Mariani, L., et al. (2005) · New England Journal of Medicine · doi:10.1056/nejmoa043331 · Cited by 7,405
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
IDH1 and IDH2 Mutations in Gliomas
Yan, H., Parsons, D. W., Jin, G., McLendon, R., Rasheed, B. A., Yuan, W., Kos, I., Batinic-Haberle, I., Jones, S., Riggins, G. J., et al. (2009) · New England Journal of Medicine · doi:10.1056/nejmoa0808710 · Cited by 5,847
Definition and classification of cancer cachexia: an international consensus
Fearon, K., Strasser, F., Anker, S. D., Bosaeus, I., Bruera, E., Fainsinger, R. L., Jatoi, A., Loprinzi, C., MacDonald, N., Mantovani, G., et al. (2011) · The Lancet Oncology · doi:10.1016/s1470-2045(10)70218-7 · Cited by 5,767
Sumner, L. W., Amberg, A., Barrett, D., Beale, M. H., Beger, R., Daykin, C. A., Fan, T. W.-M., Fiehn, O., Goodacre, R., Griffin, J. L., et al. (2007) · Metabolomics · doi:10.1007/s11306-007-0082-2 · Cited by 5,368
Regulation of cancer cell metabolism
Cairns, R. A., Harris, I. S., & Mak, T. W. (2011) · Nature Reviews Cancer · doi:10.1038/nrc2981 · Cited by 4,744
Cancer genes and the pathways they control
Vogelstein, B., & Kinzler, K. W. (2004) · Nature Medicine · doi:10.1038/nm1087 · Cited by 4,249
Cited by
Artificial intelligence-based multi-omics analysis fuels cancer precision medicine
He, X., Liu, X., Zuo, F., Shi, H., & Jing, J. (2023) · Seminars in Cancer Biology · doi:10.1016/j.semcancer.2022.12.009 · Cited by 445
Early screening and diagnosis strategies of pancreatic cancer: a comprehensive review
Yang, J., Xu, R., Wang, C., Qiu, J., Ren, B., & You, L. (2021) · Cancer Communications · doi:10.1002/cac2.12204 · Cited by 379
Metabolic reprogramming in the tumor microenvironment of liver cancer
Lin, J., Rao, D., Zhang, M., & Gao, Q. (2024) · Journal of Hematology & Oncology · doi:10.1186/s13045-024-01527-8 · Cited by 251
“Tumor cells often exhibit a high dependence on a reprogrammed metabolic state for stress adaptation and infinite proliferation, which can be leveraged for non-invasive cancer diagnosis [6–8].”
BackgroundOmics Technologies Improving Breast Cancer Research and Diagnostics
Orsini, A., Diquigiovanni, C., & Bonora, E. (2023) · International Journal of Molecular Sciences · doi:10.3390/ijms241612690 · Cited by 52
Prognostic Implication of Plasma Metabolites in Gastric Cancer
Cao, K., Lyu, Y., Chen, J., He, C., Lyu, X., Zhang, Y., Chen, L., Jiang, Y., Xiang, J., Liu, B., et al. (2023) · International Journal of Molecular Sciences · doi:10.3390/ijms241612774 · Cited by 16
Metadata
- Authors
- Schmidt, D. R., Patel, R., Kirsch, D. G., Lewis, C. A., Vander Heiden, M. G., & Locasale, J. W.
- Venue
- CA: A Cancer Journal for Clinicians
- Publisher
- Wiley
- Published
- 2021-05-13
- Volume
- 71
- Issue
- 4
- Pages
- 333-358
- ISSN
- 0007-9235 (ISSN-L)
- 1542-4863
- OpenAlex
- W3162293114
- Cited by
- 648
- References
- 361
- FWCI
- 30.86
- Type
- journal article
- Language
- en
- Open access
- gold
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