The DOI matches its Crossref record; 290 of the 290 references it cites were found in a registry or an index.
Protein Glycosylation and Tumor Microenvironment Alterations Driving Cancer Hallmarks
Open accessAbstract
Decades of research have disclosed a plethora of alterations in protein glycosylation that decisively impact in all stages of disease and ultimately contribute to more aggressive cell phenotypes. The biosynthesis of cancer-associated glycans and its reflection in the glycoproteome is driven by microenvironmental cues and these events act synergistically toward disease evolution. Such intricate crosstalk provides the molecular foundations for the activation of relevant oncogenic pathways and leads to functional alterations driving invasion and disease dissemination. However, it also provides an important source of relevant glyco(neo)epitopes holding tremendous potential for clinical intervention. Therefore, we highlight the transversal nature of glycans throughout the currently accepted cancer hallmarks, with emphasis on the crosstalk between glycans and the tumor microenvironment stromal components. Focus is also set on the pressing need to include glycans and glycoconjugates in comprehensive panomics models envisaging molecular-based precision medicine capable of improving patient care. We foresee that this may provide the necessary rationale for more comprehensive studies and molecular-based intervention.
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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
Warburg, O. (1956) · Science · doi:10.1126/science.123.3191.309 · Cited by 13,425
Matrix Metalloproteinases: Regulators of the Tumor Microenvironment
Kessenbrock, K., Plaks, V., & Werb, Z. (2010) · Cell · doi:10.1016/j.cell.2010.03.015 · Cited by 5,151
Targeting Hypoxia-Inducible Factors for the Treatment of Anemia in Chronic Kidney Disease Patients
Locatelli, F., Fishbane, S., Block, G. A., & Macdougall, I. C. (2017) · American Journal of Nephrology · doi:10.1159/000455166 · Cited by 4,813
A Perspective on Cancer Cell Metastasis
Chaffer, C. L., & Weinberg, R. A. (2011) · Science · doi:10.1126/science.1203543 · Cited by 4,807
Anderson, N. L., & Anderson, N. G. (2002) · Molecular & Cellular Proteomics · doi:10.1074/mcp.r200007-mcp200 · Cited by 4,414
The Biology of Cancer: Metabolic Reprogramming Fuels Cell Growth and Proliferation
DeBerardinis, R. J., Lum, J. J., Hatzivassiliou, G., & Thompson, C. B. (2008) · Cell Metabolism · doi:10.1016/j.cmet.2007.10.002 · Cited by 4,088
Wiederschain, G. Y. (2009) · Biochemistry (Moscow) · doi:10.1134/s0006297909090156 · Cited by 4,083
Kim, J.-W., Tchernyshyov, I., Semenza, G. L., & Dang, C. V. (2006) · Cell Metabolism · doi:10.1016/j.cmet.2006.02.002 · Cited by 3,905
Glycosylation in cancer: mechanisms and clinical implications
Pinho, S. S., & Reis, C. A. (2015) · Nature Reviews Cancer · doi:10.1038/nrc3982 · Cited by 3,083
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Dobie, C., & Skropeta, D. (2021) · British Journal of Cancer · doi:10.1038/s41416-020-01126-7 · Cited by 348
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Umbaugh, C. S., Groth, M., Erkut, C., Lee, K.-S., Marinho, J., Linder, S., Iser, F., Kapp, J. N., Schroeter, P., Dolaner, S., et al. (2025) · Science Advances · doi:10.1126/sciadv.adu2796 · Cited by 6
Metadata
- Authors
- Peixoto, A., Relvas-Santos, M., Azevedo, R., Santos, L. L., & Ferreira, J. A.
- Venue
- Frontiers in Oncology
- Publisher
- Frontiers Media SA
- Published
- 2019-05-14
- Volume
- 9
- Pages
- 380-380
- ISSN
- 2234-943X (ISSN-L)
- OpenAlex
- W2945867085
- Cited by
- 334
- References
- 290
- FWCI
- 11.53
- Type
- journal article
- Language
- en
- Open access
- gold
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- Peixoto, A., Relvas-Santos, M., Azevedo, R., Santos, L. L., & Ferreira, J. A. (2019). Protein Glycosylation and Tumor Microenvironment Alterations Driving Cancer Hallmarks. Frontiers in Oncology. https://doi.org/10.3389/fonc.2019.00380
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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.