The DOI matches its Crossref record; 151 of the 151 references it cites were found in a registry or an index.
Drug resistance in multiple myeloma
Abstract
Multiple myeloma (MM, plasma cell myeloma) is a malignant hematologic disease characterized by the clonal proliferation of malignant plasma cells. The treatment of MM has changed dramatically in recent years, with the introduction of new drugs into therapeutic strategies, both in the front line setting and in relapsed refractory disease. However, most patients eventually relapse and often demonstrate multiple drug resistance. Therefore there is still an urgent and unmet need to define the molecular mechanisms of resistance for available drugs in order to enhance the use of existing treatments and design more effective therapies. Genetic abnormalities are well known to play a central role in MM resistance to available drugs, and epigenetic aberrations mainly affecting the patterns of DNA methylation and histone modifications of genes, especially tumor suppressors, can be involved in the resistance mechanism. Moreover, defects in the mechanisms of apoptosis, senescence and DNA repair could also contribute to drug resistance. In addition, mutations or alterations in the expression of the drug target can influence response to therapy. Achieving a better understanding of the pathways and protein expression involved in MM drug resistance and the development of novel therapeutic strategies are important goals for further progress in the treatment of MM. This review gives a critical overview of the role of cellular, microenvironmental and molecular mechanisms of drug resistance in MM.
Overview
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Integrity signals
Registry
Cites
Statistics
Verification
Claims the paper makes
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
The self-check needs the paper’s full text.
Citations
Cites
Cancer incidence and mortality worldwide: Sources, methods and major patterns in GLOBOCAN 2012
Ferlay, J., Soerjomataram, I., Dikshit, R., Eser, S., Mathers, C., Rebelo, M., Parkin, D. M., Forman, D., & Bray, F. (2015) · International Journal of Cancer · doi:10.1002/ijc.29210 · Cited by 28,766
Siegel, R. L., Miller, K. D., & Jemal, A. (2018) · CA: A Cancer Journal for Clinicians · doi:10.3322/caac.21442 · Cited by 16,579
The 2016 revision of the World Health Organization classification of lymphoid neoplasms
Swerdlow, S. H., Campo, E., Pileri, S. A., Harris, N. L., Stein, H., Siebert, R., Advani, R., Ghielmini, M., Salles, G. A., Zelenetz, A. D., et al. (2016) · Blood · doi:10.1182/blood-2016-01-643569 · Cited by 7,831
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
Palumbo, A., & Anderson, K. (2011) · New England Journal of Medicine · doi:10.1056/nejmra1011442 · Cited by 2,326
Lenalidomide Causes Selective Degradation of IKZF1 and IKZF3 in Multiple Myeloma Cells
Krönke, J., Udeshi, N. D., Narla, A., Grauman, P., Hurst, S. N., McConkey, M., Svinkina, T., Heckl, D., Comer, E., Li, X., et al. (2014) · Science · doi:10.1126/science.1244851 · Cited by 1,879
Hypoxia, HIF1 and glucose metabolism in the solid tumour
Denko, N. C. (2008) · Nature Reviews Cancer · doi:10.1038/nrc2468 · Cited by 1,707
Daratumumab, Bortezomib, and Dexamethasone for Multiple Myeloma
Palumbo, A., Chanan-Khan, A., Weisel, K., Nooka, A. K., Masszi, T., Beksac, M., Spicka, I., Hungria, V., Munder, M., Mateos, M. V., et al. (2016) · New England Journal of Medicine · doi:10.1056/nejmoa1606038 · Cited by 1,522
Kumar, S. K., Dispenzieri, A., Lacy, M. Q., Gertz, M. A., Buadi, F. K., Pandey, S., Kapoor, P., Dingli, D., Hayman, S. R., Leung, N., et al. (2014) · Leukemia · doi:10.1038/leu.2013.313 · Cited by 1,369
Carfilzomib, Lenalidomide, and Dexamethasone for Relapsed Multiple Myeloma
Stewart, A. K., Rajkumar, S. V., Dimopoulos, M. A., Masszi, T., Špička, I., Oriol, A., Hájek, R., Rosiñol, L., Siegel, D. S., Mihaylov, G. G., et al. (2015) · New England Journal of Medicine · doi:10.1056/nejmoa1411321 · Cited by 1,332
Cited by
Targeting the ubiquitin-proteasome pathway to overcome anti-cancer drug resistance
Narayanan, S., Cai, C.-Y., Assaraf, Y. G., Guo, H.-Q., Cui, Q., Wei, L., Huang, J.-J., Ashby, C. R., & Chen, Z.-S. (2020) · Drug Resistance Updates · doi:10.1016/j.drup.2019.100663 · Cited by 332
Cohen, Y. C., Zada, M., Wang, S.-Y., Bornstein, C., David, E., Moshe, A., Li, B., Shlomi-Loubaton, S., Gatt, M. E., Gur, C., et al. (2021) · Nature Medicine · doi:10.1038/s41591-021-01232-w · Cited by 235
Usmani, S. Z., Quach, H., Mateos, M.-V., Landgren, O., Leleu, X., Siegel, D., Weisel, K., Gavriatopoulou, M., Oriol, A., Rabin, N., et al. (2022) · The Lancet Oncology · doi:10.1016/s1470-2045(21)00579-9 · Cited by 171
Siegel, D. S., Schiller, G. J., Song, K. W., Agajanian, R., Stockerl‐Goldstein, K., Kaya, H., Sebag, M., Samaras, C., Malek, E., Talamo, G., et al. (2020) · British Journal of Haematology · doi:10.1111/bjh.16213 · Cited by 46
Peng, Y., Li, F., Zhang, P., Wang, X., Shen, Y., Feng, Y., Jia, Y., Zhang, R., Hu, J., & He, A. (2020) · Life Sciences · doi:10.1016/j.lfs.2020.117503 · Cited by 42
Metadata
- Authors
- Robak, P., Drozdz, I., Szemraj, J., & Robak, T.
- Venue
- Cancer Treatment Reviews
- Publisher
- Elsevier BV
- Published
- 2018-11
- Volume
- 70
- Pages
- 199-208
- ISSN
- 0305-7372 (ISSN-L)
- OpenAlex
- W2889850156
- Cited by
- 283
- References
- 151
- FWCI
- 19.76
- Type
- journal article
- Language
- en
- Open access
- closed
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review
How to cite
Cite CoChat for the checks on this page, and the paper for its own findings.
- This page
- CoChat. (2026). Citation check: Drug resistance in multiple myeloma. https://app.cochat.ai/papers/10.1016/j.ctrv.2018.09.001
- The paper
- Robak, P., Drozdz, I., Szemraj, J., & Robak, T. (2018). Drug resistance in multiple myeloma. Cancer Treatment Reviews. https://doi.org/10.1016/j.ctrv.2018.09.001
Data sources
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.
