The DOI matches its Crossref record; 32 of the 32 references it cites were found in a registry or an index.
Transforming Growth Factor β Receptor I Kinase Inhibitor Down-Regulates Cytokine Secretion and Multiple Myeloma Cell Growth in the Bone Marrow Microenvironment
Open accessAbstract
Purpose: Transforming growth factors (TGFs) have pleiotropic biological effects on tumor cells and their environment. In multiple myeloma (MM), we have reported that bone marrow stromal cells (BMSCs) from MM patients produce more TGF-β1 than BMSCs from healthy donors, which in turn induces interleukin (IL)-6 secretion. We show here that the TGF-β receptor I kinase inhibitor SD-208 significantly decreases secretion of both IL-6 and vascular endothelial growth factor (VEGF) from BMSCs, as well as tumor cell growth triggered by MM cell adhesion to BMSCs. Experimental Design: Cytokine production and MM cell proliferation triggered by TGF-β1 or adhesion to BMSCs were examined in the presence or absence of SD-208. Effects of SD-208 on TGF-β1–induced signaling pathways triggering IL-6 and VEGF transcription in BMSCs were also delineated. Results: SD-208 significantly inhibits not only transcription but also secretion of both IL-6 and VEGF from BMSCs triggered by either TGF-β1 or adhesion of MM cells to BMSCs. Moreover, SD-208 decreased tumor cell growth triggered by MM cell adhesion to BMSCs. SD-208 works, at least in part, by blocking TGF-β1–triggered nuclear accumulation of Smad2/3 and hypoxia-inducible factor 1α, as well as related production of IL-6 and VEGF, respectively. Conclusions: These studies indicate that SD-208 inhibits production of cytokines mediating MM cell growth, survival, drug resistance, and migration in the BM milieu, thereby providing the preclinical rationale for clinical evaluation of SD-208 to improve patient outcome in MM.
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“It should be noted that increased TGF-β expression has been linked to increased microvessel density in certain tumor types271,272.”
From TGFβ biology in cancer progression and immunotherapy (2021) · cites this paper as [271]
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Smad-dependent and Smad-independent pathways in TGF-β family signalling
Derynck, R., & Zhang, Y. E. (2003) · Nature · doi:10.1038/nature02006 · Cited by 5,498
A Phase 2 Study of Bortezomib in Relapsed, Refractory Myeloma
Richardson, P. G., Barlogie, B., Berenson, J., Singhal, S., Jagannath, S., Irwin, D., Rajkumar, S. V., Srkalovic, G., Alsina, M., Alexanian, R., et al. (2003) · New England Journal of Medicine · doi:10.1056/nejmoa030288 · Cited by 2,632
Self-citationRole of HIF-1α in hypoxia-mediated apoptosis, cell proliferation and tumour angiogenesis
Carmeliet, P., Dor, Y., Herbert, J.-M., Fukumura, D., Brusselmans, K., Dewerchin, M., Neeman, M., Bono, F., Abramovitch, R., Maxwell, P., et al. (1998) · Nature · doi:10.1038/28867 · Cited by 2,502
Thalidomide is an inhibitor of angiogenesis.
D'Amato, R. J., Loughnan, M. S., Flynn, E., & Folkman, J. (1994) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.91.9.4082 · Cited by 2,454
TGF-β Signaling in Tumor Suppression and Cancer Progression
Derynck, R., Akhurst, R. J., & Balmain, A. (2001) · Nature Genetics · doi:10.1038/ng1001-117 · Cited by 2,275
Damiano, J. S., Cress, A. E., Hazlehurst, L., Shtil, A. A., & Dalton, W. S. (1999) · Blood · doi:10.1182/blood.v93.5.1658 · Cited by 899
Hideshima, T., Chauhan, D., Shima, Y., Raje, N. S., Davies, F. E., Tai, Y., Treon, S. P., Lin, B. K., Schlossman, R. L., Richardson, P. G. G., et al. (2000) · Blood · doi:10.1182/blood.v96.9.2943 · Cited by 874
Self-citationRichardson, P. G., Schlossman, R. L., Weller, E., Hideshima, T., Mitsiades, C., Davies, F., LeBlanc, R., Catley, L. P., Doss, D., Kelly, K., et al. (2002) · Blood · doi:10.1182/blood-2002-03-0996 · Cited by 804
Self-citationTransforming growth factor-β in T-cell biology
Gorelik, L., & Flavell, R. A. (2002) · Nature Reviews Immunology · doi:10.1038/nri704 · Cited by 792
Dankbar, B., Padró, T., Leo, R., Feldmann, B., Kropff, M. H., Mesters, R. M., Serve, H. L., Berdel, W. E., & Kienast, J. (2000) · Blood · doi:10.1182/blood.v95.8.2630 · Cited by 568
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- Liu Y-W, Siedner M, Tran T-T, et al Inhibition of TGF-b receptor kinase activity prevents Smad signaling in in vitro and in vivo models of lung injury. American Thoracic Society 99th International Conference 2003Abstract 2812
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TGFβ biology in cancer progression and immunotherapy
Derynck, R., Turley, S. J., & Akhurst, R. J. (2021) · Nature Reviews Clinical Oncology · doi:10.1038/s41571-020-0403-1 · Cited by 944
The polarization of immune cells in the tumour environment by TGFβ
Flavell, R. A., Sanjabi, S., Wrzesinski, S. H., & Licona-Limón, P. (2010) · Nature Reviews Immunology · doi:10.1038/nri2808 · Cited by 940
TGF-β – an excellent servant but a bad master
Kubiczkova, L., Sedlarikova, L., Hajek, R., & Sevcikova, S. (2012) · Journal of Translational Medicine · doi:10.1186/1479-5876-10-183 · Cited by 511
Transforming Growth Factor-β and the Immune Response: Implications for Anticancer Therapy
Wrzesinski, S. H., Wan, Y. Y., & Flavell, R. A. (2007) · Clinical Cancer Research · doi:10.1158/1078-0432.ccr-07-1157 · Cited by 469
Metadata
- Authors
- Hayashi, T., Hideshima, T., Nguyen, A. N., Munoz, O., Podar, K., Hamasaki, M., Ishitsuka, K., Yasui, H., Richardson, P., Chakravarty, S., Murphy, A., Chauhan, D., Higgins, L. S., & Anderson, K. C.
- Affiliations
- Harvard University (US)
- 2SCIOS Inc., Sunnyvale, California
- ORCID
- Venue
- Clinical Cancer Research
- Published
- 2004-11-15
- Volume
- 10
- Issue
- 22
- Pages
- 7540-7546
- ISSN
- 1078-0432 (ISSN-L)
- 1557-3265
- OpenAlex
- W2148046607
- Cited by
- 110
- References
- 31
- Citations by year
- 2025: 3 · 2024: 2 · 2023: 3 · 2022: 7 · 2021: 4 · 2020: 4 · 2019: 1 · 2018: 4 · 2017: 5 · 2016: 4 · 2014: 2 · 2013: 4 · 2012: 11
- FWCI
- 5.30
- Type
- journal article
- Language
- en
- Open access
- bronze
- doi.org
- Locations
- Clinical Cancer Research (publishedVersion)
- PubMed (publishedVersion)
- Funders
- U.S. Public Health Service (P0178378)
- Topics
- Health Sciences › Medicine › Hematology › Multiple Myeloma Research and Treatments
- Life Sciences › Biochemistry, Genetics and Molecular Biology › Molecular Biology › TGF-β signaling in diseases
- Health Sciences › Medicine › Oncology › Bone health and treatments
- Keywords
- multiple myeloma, TGF-beta receptor I kinase inhibitor, SD-208, TGF-β1, mesenchymal stem cells, interleukin-6, vascular endothelial growth factor, cytokine production, tumor cell adhesion, Smad2/3, hypoxia-inducible factor-1α, tumor microenvironment, tumor cell proliferation
- MeSH terms
- Antineoplastic Agents, Bone Marrow, Bone Marrow Cells, Cell Adhesion, Enzyme Inhibitors, Humans, Lymphocytes, Microscopy, Fluorescence, Multiple Myeloma, Transcription Factors, Immunoblotting, Signal Transduction, Down-Regulation, Interleukin-6, Cytokines, Receptors, Transforming Growth Factor beta, Reverse Transcriptase Polymerase Chain Reaction, Cell Line, Tumor, Cell Proliferation, Hypoxia-Inducible Factor 1, alpha Subunit
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