Evidence map›Paper›PMID 26687797›Full record

ArticleThe Lancet. Haematology2015

Long-term molecular and cytogenetic response and survival outcomes with imatinib 400 mg, imatinib 800 mg, dasatinib, and nilotinib in patients with chronic-phase chronic myeloid leukaemia: retrospective analysis of patient data from five clinical trials.

Preetesh Jain, Hagop Kantarjian, Mona Lisa Alattar, Elias Jabbour, Koji Sasaki, Graciela Nogueras Gonzalez, Sara Dellasala, Sherry Pierce, Srdan Verstovsek, William Wierda and 4 more

Open access · greenAbstract read
In one paragraph

Article in The Lancet. Haematology, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 44 papers.

0numbers the graph read from it
0cells of the map it votes in
44citing papers in PubMed
6.3field-weighted citation impact, top 3% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

44 citing papers in PubMed, 81 citations in OpenAlex.

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  16. CLINICAL VALIDATION OF ANKRD36 MUTATIONS AS A NOVEL BIOMARKER FOR MONITORING EARLY PROGRESSION AND TIMELY CLINICAL INTERVENTIONS IN BLAST CRISIS CML.Journal of population therapeutics and clinical pharmacology = Journal de la therapeutique des populations et de la pharmacologie clinique · 2022
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4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

14 authors at 1 institution in 1 country.

Preetesh JainDepartment of Leukemia, The University of Texas MD Anderson Cancer Center, Houston, TX, USA.
Hagop KantarjianDepartment of Leukemia, The University of Texas MD Anderson Cancer Center, Houston, TX, USA.
Mona Lisa AlattarDepartment of Leukemia, The University of Texas MD Anderson Cancer Center, Houston, TX, USA; Department of Medical Oncology, University of Texas Southwestern Dallas, TX, USA.
Elias JabbourDepartment of Leukemia, The University of Texas MD Anderson Cancer Center, Houston, TX, USA.
Koji SasakiDepartment of Leukemia, The University of Texas MD Anderson Cancer Center, Houston, TX, USA.
Graciela Nogueras GonzalezDepartment of Leukemia, The University of Texas MD Anderson Cancer Center, Houston, TX, USA; Department of Biostatistics, The University of Texas MD Anderson Cancer Center, Houston, TX, USA.
Sara DellasalaDepartment of Leukemia, The University of Texas MD Anderson Cancer Center, Houston, TX, USA.
Sherry PierceDepartment of Leukemia, The University of Texas MD Anderson Cancer Center, Houston, TX, USA.
Srdan VerstovsekDepartment of Leukemia, The University of Texas MD Anderson Cancer Center, Houston, TX, USA.
William WierdaDepartment of Leukemia, The University of Texas MD Anderson Cancer Center, Houston, TX, USA.
Gautam BorthakurDepartment of Leukemia, The University of Texas MD Anderson Cancer Center, Houston, TX, USA.
Farhad RavandiDepartment of Leukemia, The University of Texas MD Anderson Cancer Center, Houston, TX, USA.
Susan O'BrienDepartment of Leukemia, The University of Texas MD Anderson Cancer Center, Houston, TX, USA.
Jorge CortesDepartment of Leukemia, The University of Texas MD Anderson Cancer Center, Houston, TX, USA. Electronic address: jcortes@mdanderson.org.
The University of Texas MD Anderson Cancer Center · US

Funding

Tumor Evolution and Metastasis ProgramP30CA016672 · NCI · UNIVERSITY OF TX MD ANDERSON CAN CTR · PI Scott Kopetz · 1985 to 2026
$290.8M
TOLERANCE INDUCTION BY MEGADOSE STEM CELL TRANSPLANTS IN CML--GVHD AND GVLP01CA049639 · NCI · UNIVERSITY OF TX MD ANDERSON CAN CTR · PI THALL, PETER F · 1990 to 2014
$41.8M
NCI NIH HHS CA016672NCI NIH HHS P01 CA049639NCI NIH HHS P30 CA016672
6 · The paper itself

Abstract

backgroundSeveral tyrosine kinase inhibitors (TKIs) are available for treatment of patients with chronic myeloid leukaemia in chronic phase (CML-CP). We analysed long-term molecular and cytogenetic response and survival outcomes for four TKI modalities used as frontline therapy for CML-CP.

methodsIn a retrospective cohort analysis, we included data from patients with CML-CP treated in prospective clinical trials with frontline TKI modalities at a single institution between July 31, 2000, and Sept 10, 2013. The main aim of the study was to determine whether achievement of complete cytogenetic response or major molecular response had similar prognostic implications irrespective of the frontline TKI modality used. We analysed each TKI modality for response assessment and analysed survival endpoints (event-free, failure-free, transformation-free, and overall survival) with the Kaplan-Meier method. Univariate and multivariate analyses were done with Cox proportional hazard regression.

findingsOur analysis included 482 patients who were treated with imatinib 400 mg daily (n=68), imatinib 800 mg daily (n=200), dasatinib 50 mg twice daily or 100 mg daily (n=106), or nilotinib 400 mg twice daily (n=108). More patients receiving imatinib 800 mg or second-generation TKIs (ie, dasatinib or nilotinib) achieved complete cytogenetic response (58 [87%] of 67 for imatinib 400 mg vs 180 [90%] of 199 for imatinib 800 mg, vs 100 [96%] of 104 for dasatinib vs 99 [93%] of 107 for nilotinib), major molecular response (51 [76%] vs 171 [86%] vs 93 [90%] vs 97 [91%]), and 4·5 log or higher reduction in BCR-ABL transcripts (MR(4·5) response 38 [57%] vs 148 [74%] vs 76 [71%] vs 76 [71%]). This finding was consistent over time (3-60 months). 5-year event free survival significantly differed between the imatinib 400 mg group and the other TKI groups (imatinib 800 mg p=0·029, dasatinib p=0·003, nilotinib p=0·031). There was no significant difference in 5-year failure-free survival (p=0·32, p=0·075, p=0·332), transformation-free survival (p=0·053, p=0·038, p=0·493), or overall survival (p=0·563, p=0·162, p=0·981). Multivariate analysis showed that therapy with imatinib 800 mg (HR 0·51, 95% CI 0·29-0·88, p=0·016), dasatinib (0·28, 0·12-0·66, p=0·004), or nilotinib (0·42, 0·20-0·89, p=0·024) predicted for better event-free survival compared with imatinib 400 mg, but that failure-free, transformation-free, and overall survival were similar irrespective of the TKI used. 28 (41%) patients receiving imatinib 400 mg, 85 (43%) receiving imatinib 800 mg, 23 (21%) receiving dasatinib, and 27 (25%) receiving nilotinib discontinued treatment for any reason.

interpretationTreatment with imatinib 800 mg or the second-generation TKIs dasatinib or nilotinib resulted in superior and deeper responses than did standard-dose imatinib, which were maintained after 5 years of follow-up. Results with imatinib 800 mg were similar to those with second-generation TKIs, although more patients discontinued therapy.

fundingMD Anderson Cancer Center, National Cancer Institute.

Indexed as

AdolescentAdultAgedAged, 80 and overAntineoplastic AgentsClinical Trials as TopicCytogenetic AnalysisDasatinibHumansImatinib MesylateLeukemia, Myelogenous, Chronic, BCR-ABL PositiveMiddle AgedProtein Kinase InhibitorsPyrimidinesRetrospective StudiesSurvival AnalysisAntineoplastic AgentsDasatinibImatinib MesylatenilotinibProtein Kinase InhibitorsPyrimidines

Identifiers

PMID26687797
PMCPMC4854752
OpenAlexW2085342571

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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.