The DOI matches its Crossref record; 6 of the 6 references it cites were found in a registry or an index.
Treatment of multiple myeloma
Open accessAbstract
Autologous peripheral blood stem cell (PBSC)–supported high-dose melphalan is now considered standard therapy for myeloma, at least for younger patients. The markedly reduced toxicity of allotransplants using nonmyeloablative regimens (mini-allotransplantations) may hold promise for more widely exploiting the well-documented graft-versus-myeloma (GVM) effect. New active drugs include immunomodulatory agents, such as thalidomide and CC-5013 (Revimid; Celgene, Warren, NJ), and the proteasome inhibitor, PS 341 (Velcade; Millenium, Cambridge, MA), all of which not only target myeloma cells directly but also exert an indirect effect by suppressing growth and survival signals elaborated by the bone marrow microenvironment's interaction with myeloma cells. Among the prognostic factors evaluated, cytogenetic abnormalities (CAs), which are present in one third of patients with newly diagnosed disease, identify a particularly poor prognosis subgroup with a median survival not exceeding 2 to 3 years. By contrast, in the absence of CAs, 4-year survival rates of 80% to 90% can be obtained with tandem autotransplantations. Fundamental and clinical research should, therefore, focus on the molecular and biologic mechanisms of treatment failure in the high-risk subgroup.
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Cites
Antitumor Activity of Thalidomide in Refractory Multiple Myeloma
Singhal, S., Mehta, J., Desikan, R., Ayers, D., Roberson, P., Eddlemon, P., Munshi, N., Anaissie, E., Wilson, C., Dhodapkar, M., et al. (1999) · New England Journal of Medicine · doi:10.1056/nejm199911183412102 · Cited by 2,575
Self-citationThalidomide 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
High-Dose Chemotherapy with Hematopoietic Stem-Cell Rescue for Multiple Myeloma
Child, J. A., Morgan, G. J., Davies, F. E., Owen, R. G., Bell, S. E., Hawkins, K., Brown, J., Drayson, M. T., & Selby, P. J. (2003) · New England Journal of Medicine · doi:10.1056/nejmoa022340 · Cited by 1,768
A Long-Term Study of Prognosis in Monoclonal Gammopathy of Undetermined Significance
Kyle, R. A., Therneau, T. M., Rajkumar, S. V., Offord, J. R., Larson, D. R., Plevak, M. F., & Melton, L. J. (2002) · New England Journal of Medicine · doi:10.1056/nejmoa01133202 · Cited by 1,475
Richardson, 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
Advances in the biology and treatment of myeloma bone disease.
Berenson, J. R. (2002) · Seminars in Oncology · doi:10.1053/sonc.2002.34071 · Cited by 30
Cited by
Annunziata, C. M., Davis, R. E., Demchenko, Y., Bellamy, W., Gabrea, A., Zhan, F., Lenz, G., Hanamura, I., Wright, G., Xiao, W., et al. (2007) · Cancer Cell · doi:10.1016/j.ccr.2007.07.004 · Cited by 952
Self-citationIRF4 addiction in multiple myeloma
Shaffer, A. L., Emre, N. C. T., Lamy, L., Ngo, V. N., Wright, G., Xiao, W., Powell, J., Dave, S., Yu, X., Zhao, H., et al. (2008) · Nature · doi:10.1038/nature07064 · Cited by 730
Proteasome Inhibitors in Cancer Therapy: Lessons from the First Decade
Orlowski, R. Z., & Kuhn, D. J. (2008) · Clinical Cancer Research · doi:10.1158/1078-0432.ccr-07-2218 · Cited by 578
Carrasco, D. R., Tonon, G., Huang, Y., Zhang, Y., Sinha, R., Feng, B., Stewart, J. P., Zhan, F., Khatry, D., Protopopova, M., et al. (2006) · Cancer Cell · doi:10.1016/j.ccr.2006.03.019 · Cited by 425
Self-citationCavo, M., Tosi, P., Zamagni, E., Cellini, C., Tacchetti, P., Patriarca, F., Di Raimondo, F., Volpe, E., Ronconi, S., Cangini, D., et al. (2007) · Journal of Clinical Oncology · doi:10.1200/jco.2006.10.2509 · Cited by 370
Metadata
- Authors
- Barlogie, B., Shaughnessy, J., Tricot, G., Jacobson, J., Zangari, M., Anaissie, E., Walker, R., & Crowley, J.
- Venue
- Blood
- Publisher
- American Society of Hematology
- Published
- 2004-01-01
- Volume
- 103
- Issue
- 1
- Pages
- 20-32
- ISSN
- 0006-4971 (ISSN-L)
- 1528-0020
- OpenAlex
- W2158470148
- Cited by
- 464
- References
- 6
- FWCI
- 28.38
- Type
- journal article
- Language
- en
- Open access
- bronze
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- Barlogie, B., Shaughnessy, J., Tricot, G., Jacobson, J., Zangari, M., Anaissie, E., Walker, R., & Crowley, J. (2004). Treatment of multiple myeloma. Blood. https://doi.org/10.1182/blood-2003-04-1045
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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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