The DOI matches its Crossref record; 32 of the 32 references it cites were found in a registry or an index.
Adherence Is the Critical Factor for Achieving Molecular Responses in Patients With Chronic Myeloid Leukemia Who Achieve Complete Cytogenetic Responses on Imatinib
Open accessAbstract
Purpose: There is a considerable variability in the level of molecular responses achieved with imatinib therapy in patients with chronic myeloid leukemia (CML). These differences could result from variable therapy adherence. Methods: Eighty-seven patients with chronic-phase CML treated with imatinib 400 mg/d for a median of 59.7 months (range, 25 to 104 months) who had achieved complete cytogenetic response had adherence monitored during a 3-month period by using a microelectronic monitoring device. Adherence was correlated with levels of molecular response. Other factors that could influence outcome were also analyzed. Results: Median adherence rate was 98% (range, 24% to 104%). Twenty-three patients (26.4%) had adherence ≤ 90%; in 12 of these patients (14%), adherence was ≤ 80%. There was a strong correlation between adherence rate (≤ 90% or > 90%) and the 6-year probability of a 3-log reduction (also known as major molecular response [MMR]) in BCR-ABL1 transcripts (28.4% v 94.5%; P < .001) and also complete molecular response (CMR; 0% v 43.8%; P = .002). Multivariate analysis identified adherence (relative risk [RR], 11.7; P = .001) and expression of the molecular human organic cation transporter-1 (RR, 1.79; P = .038) as the only independent predictors for MMR. Adherence was the only independent predictor for CMR. No molecular responses were observed when adherence was ≤ 80% (P < .001). Patients whose imatinib doses were increased had poor adherence (86.4%). In this latter population, adherence was the only independent predictor for inability to achieve an MMR (RR, 17.66; P = .006). Conclusion: In patients with CML treated with imatinib for some years, poor adherence may be the predominant reason for inability to obtain adequate molecular responses.
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Osterberg, L., & Blaschke, T. (2005) · New England Journal of Medicine · doi:10.1056/nejmra050100 · Cited by 7,974
Five-Year Follow-up of Patients Receiving Imatinib for Chronic Myeloid Leukemia
Druker, B. J., Guilhot, F., O'Brien, S. G., Gathmann, I., Kantarjian, H., Gattermann, N., Deininger, M. W. N., Silver, R. T., Goldman, J. M., Stone, R. M., et al. (2006) · New England Journal of Medicine · doi:10.1056/nejmoa062867 · Cited by 3,488
Self-citationInterventions for enhancing medication adherence
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Baccarani, M., Cortes, J., Pane, F., Niederwieser, D., Saglio, G., Apperley, J., Cervantes, F., Deininger, M., Gratwohl, A., Guilhot, F., et al. (2009) · Journal of Clinical Oncology · doi:10.1200/jco.2009.25.0779 · Cited by 1,291
Self-citationPrognostic discrimination in "good-risk" chronic granulocytic leukemia
Sokal, J., Cox, E., Baccarani, M., Tura, S., Gomez, G., Robertson, J., Tso, C., Braun, T., Clarkson, B., & Cervantes, F. (1984) · Blood · doi:10.1182/blood.v63.4.789.789 · Cited by 1,214
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Chronic Myeloid Leukemia — Advances in Biology and New Approaches to Treatment
Goldman, J. M., & Melo, J. V. (2003) · New England Journal of Medicine · doi:10.1056/nejmra020777 · Cited by 950
Self-citationNonadherence to adjuvant tamoxifen therapy in women with primary breast cancer
Partridge, A. H., Wang, P. S., Winer, E. P., & Avorn, J. (2003) · Journal of Clinical Oncology · doi:10.1200/jco.2003.07.071 · Cited by 676
Active transport of imatinib into and out of cells: implications for drug resistance
Thomas, J., Wang, L., Clark, R. E., & Pirmohamed, M. (2004) · Blood · doi:10.1182/blood-2003-12-4276 · Cited by 643
Larson, R. A., Druker, B. J., Guilhot, F., O'Brien, S. G., Riviere, G. J., Krahnke, T., Gathmann, I., & Wang, Y. (2008) · Blood · doi:10.1182/blood-2007-10-116475 · Cited by 643
Cited by
Cortes, J. E., Saglio, G., Kantarjian, H. M., Baccarani, M., Mayer, J., Boqué, C., Shah, N. P., Chuah, C., Casanova, L., Bradley-Garelik, B., et al. (2016) · Journal of Clinical Oncology · doi:10.1200/jco.2015.64.8899 · Cited by 947
Self-report measures of medication adherence behavior: recommendations on optimal use
Stirratt, M. J., Dunbar-Jacob, J., Crane, H. M., Simoni, J. M., Czajkowski, S., Hilliard, M. E., Aikens, J. E., Hunter, C. M., Velligan, D. I., Huntley, K., et al. (2015) · Translational Behavioral Medicine · doi:10.1007/s13142-015-0315-2 · Cited by 824
Blaschke, T. F., Osterberg, L., Vrijens, B., & Urquhart, J. (2012) · Annual Review of Pharmacology and Toxicology · doi:10.1146/annurev-pharmtox-011711-113247 · Cited by 419
Apperley, J. F. (2015) · The Lancet · doi:10.1016/s0140-6736(13)62120-0 · Cited by 381
Self-citationEmerging Paradigms in the Development of Resistance to Tyrosine Kinase Inhibitors in Lung Cancer
Gainor, J. F., & Shaw, A. T. (2013) · Journal of Clinical Oncology · doi:10.1200/jco.2012.45.2029 · Cited by 346
Metadata
- Authors
- Marin, D., Bazeos, A., Mahon, F.-X., Eliasson, L., Milojkovic, D., Bua, M., Apperley, J. F., Szydlo, R., Desai, R., Kozlowski, K., Paliompeis, C., Latham, V., Foroni, L., Molimard, M., Reid, A., Rezvani, K., de Lavallade, H., Guallar, C., Goldman, J., & Khorashad, J. S.
- Venue
- Journal of Clinical Oncology
- Published
- 2010-05-10
- Volume
- 28
- Issue
- 14
- Pages
- 2381-2388
- ISSN
- 0732-183X (ISSN-L)
- 1527-7755
- OpenAlex
- W2166270808
- Cited by
- 909
- References
- 32
- FWCI
- 43.82
- Type
- journal article
- Language
- en
- Open access
- bronze
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- Marin, D., Bazeos, A., Mahon, F.-X., Eliasson, L., Milojkovic, D., Bua, M., Apperley, J. F., Szydlo, R., Desai, R., Kozlowski, K., Paliompeis, C., Latham, V., Foroni, L., Molimard, M., Reid, A., Rezvani, K., de Lavallade, H., Guallar, C., Goldman, J., & Khorashad, J. S. (2010). Adherence Is the Critical Factor for Achieving Molecular Responses in Patients With Chronic Myeloid Leukemia Who Achieve Complete Cytogenetic Responses on Imatinib. Journal of Clinical Oncology. https://doi.org/10.1200/jco.2009.26.3087
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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.