The DOI matches its Crossref record; 14 of the 14 references it cites were found in a registry or an index.
Cancer and the tumor microenvironment: a review of an essential relationship
Open accessAbstract
PurposeThe role of the microenvironment during the initiation and progression of carcinogenesis is now realized to be of critical importance, both for enhanced understanding of fundamental cancer biology, as well as exploiting this source of relatively new knowledge for improved molecular diagnostics and therapeutics.MethodsThis review focuses on: (1) the approaches of preparing and analyzing secreted proteins, (2) the contribution of tumor microenvironment elements in cancer, and (3) the potential molecular targets for cancer therapy.ResultsThe microenvironment of a tumor is an integral part of its physiology, structure, and function. It is an essential aspect of the tumor proper, since it supplies a nurturing environment for the malignant process. A fundamental deranged relationship between tumor and stromal cells is essential for tumor cell growth, progression, and development of life threatening metastasis. Improved understanding of this interaction may provide new and valuable clinical targets for cancer management, as well as risk assessment and prevention. Non-malignant cells and secreted proteins from tumor and stromal cells are active participants in cancer progression.ConclusionsMonitoring the change in the tumor microenvironment via molecular and cellular profiles as tumor progresses would be vital for identifying cell or protein targets for cancer prevention and therapy.
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Coussens, L. M., & Werb, Z. (2002) · Nature · doi:10.1038/nature01322 · Cited by 15,111
Bevacizumab plus Irinotecan, Fluorouracil, and Leucovorin for Metastatic Colorectal Cancer
Hurwitz, H., Fehrenbacher, L., Novotny, W., Cartwright, T., Hainsworth, J., Heim, W., Berlin, J., Baron, A., Griffing, S., Holmgren, E., et al. (2004) · New England Journal of Medicine · doi:10.1056/nejmoa032691 · Cited by 10,968
Electrospray Ionization for Mass Spectrometry of Large Biomolecules
Fenn, J. B., Mann, M., Meng, C. K., Wong, S. F., & Whitehouse, C. M. (1989) · Science · doi:10.1126/science.2675315 · Cited by 7,634
Ong, S.-E., Blagoev, B., Kratchmarova, I., Kristensen, D. B., Steen, H., Pandey, A., & Mann, M. (2002) · Molecular & Cellular Proteomics · doi:10.1074/mcp.m200025-mcp200 · Cited by 5,574
Quantitative analysis of complex protein mixtures using isotope-coded affinity tags
Gygi, S. P., Rist, B., Gerber, S. A., Turecek, F., Gelb, M. H., & Aebersold, R. (1999) · Nature Biotechnology · doi:10.1038/13690 · Cited by 4,683 · cited 2×
“Described technologies such as isotope-coded aYnity tagging (ICAT) [31, 32] and stable isotope labeling with amino acids in cell culture (SILAC) [33, 34] can be combined with mass spectrometry approaches to produce”
BackgroundKalluri, R., & Zeisberg, M. (2006) · Nature Reviews Cancer · doi:10.1038/nrc1877 · Cited by 4,538
Discovery and development of bevacizumab, an anti-VEGF antibody for treating cancer
Ferrara, N., Hillan, K. J., Gerber, H.-P., & Novotny, W. (2004) · Nature Reviews Drug Discovery · doi:10.1038/nrd1381 · Cited by 2,625
The STATs of cancer — new molecular targets come of age
Yu, H., & Jove, R. (2004) · Nature Reviews Cancer · doi:10.1038/nrc1275 · Cited by 2,278
VEGF-Trap: A VEGF blocker with potent antitumor effects
Holash, J., Davis, S., Papadopoulos, N., Croll, S. D., Ho, L., Russell, M., Boland, P., Leidich, R., Hylton, D., Burova, E., et al. (2002) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.172398299 · Cited by 1,691
TGF-ß Signaling in Fibroblasts Modulates the Oncogenic Potential of Adjacent Epithelia
Bhowmick, N. A., Chytil, A., Plieth, D., Gorska, A. E., Dumont, N., Shappell, S., Washington, M. K., Neilson, E. G., & Moses, H. L. (2004) · Science · doi:10.1126/science.1090922 · Cited by 1,401
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Dai, Y., Xu, C., Sun, X., & Chen, X. (2017) · Chemical Society Reviews · doi:10.1039/c6cs00592f · Cited by 931
Three-dimensional culture systems in cancer research: Focus on tumor spheroid model
Nath, S., & Devi, G. R. (2016) · Pharmacology & Therapeutics · doi:10.1016/j.pharmthera.2016.03.013 · Cited by 919
Kalyane, D., Raval, N., Maheshwari, R., Tambe, V., Kalia, K., & Tekade, R. K. (2019) · Materials Science and Engineering: C · doi:10.1016/j.msec.2019.01.066 · Cited by 849
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Yoshida, G. J. (2020) · Journal of Hematology & Oncology · doi:10.1186/s13045-019-0829-z · Cited by 471
Metadata
- Authors
- Mbeunkui, F., & Johann, D. J.
- Venue
- Cancer Chemotherapy and Pharmacology
- Published
- 2008-12-14
- Volume
- 63
- Issue
- 4
- Pages
- 571-582
- ISSN
- 0344-5704 (ISSN-L)
- 1432-0843
- OpenAlex
- W1963525180
- Cited by
- 487
- References
- 14
- FWCI
- 7.08
- Type
- journal article
- Language
- en
- Open access
- green
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