Evidence map›Paper›PMID 29266206›Full record

ArticleCancer2018

Prediction for sustained deep molecular response of BCR-ABL1 levels in patients with chronic myeloid leukemia in chronic phase.

Koji Sasaki, Hagop Kantarjian, Susan O'Brien, Farhad Ravandi, Marina Konopleva, Gautam Borthakur, Guillermo Garcia-Manero, William Wierda, Naval Daver, Alessandra Ferrajoli and 6 more

Abstract read
In one paragraph

Article in Cancer, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 19 papers.

0numbers the graph read from it
0cells of the map it votes in
19citing papers in PubMed
–field-weighted citation impact
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

19 citing papers in PubMed.

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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

16 authors.

Koji SasakiDepartment of Leukemia, The University of Texas MD Anderson Cancer Center, Houston, Texas.ORCID 0000-0002-9140-0610
Hagop KantarjianDepartment of Leukemia, The University of Texas MD Anderson Cancer Center, Houston, Texas.ORCID 0000-0002-1908-3307
Susan O'BrienDepartment of Leukemia, The University of Texas MD Anderson Cancer Center, Houston, Texas.ORCID 0000-0003-3386-6540
Farhad RavandiDepartment of Leukemia, The University of Texas MD Anderson Cancer Center, Houston, Texas.
Marina KonoplevaDepartment of Leukemia, The University of Texas MD Anderson Cancer Center, Houston, Texas.
Gautam BorthakurDepartment of Leukemia, The University of Texas MD Anderson Cancer Center, Houston, Texas.
Guillermo Garcia-ManeroDepartment of Leukemia, The University of Texas MD Anderson Cancer Center, Houston, Texas.
William WierdaDepartment of Leukemia, The University of Texas MD Anderson Cancer Center, Houston, Texas.
Naval DaverDepartment of Leukemia, The University of Texas MD Anderson Cancer Center, Houston, Texas.ORCID 0000-0001-7103-373X
Alessandra FerrajoliDepartment of Leukemia, The University of Texas MD Anderson Cancer Center, Houston, Texas.
Koichi TakahashiDepartment of Leukemia, The University of Texas MD Anderson Cancer Center, Houston, Texas.
Preetesh JainDepartment of Leukemia, The University of Texas MD Anderson Cancer Center, Houston, Texas.ORCID 0000-0003-2735-168X
Mary Beth RiosDepartment of Leukemia, The University of Texas MD Anderson Cancer Center, Houston, Texas.
Sherry PierceDepartment of Leukemia, The University of Texas MD Anderson Cancer Center, Houston, Texas.
Elias JabbourDepartment of Leukemia, The University of Texas MD Anderson Cancer Center, Houston, Texas.ORCID 0000-0003-4465-6119
Jorge E CortesDepartment of Leukemia, The University of Texas MD Anderson Cancer Center, Houston, Texas.

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 P01 CA049639NCI NIH HHS P30 CA016672
6 · The paper itself

Abstract

backgroundThe achievement of a sustained deep molecular response is a goal of increasing relevance because it opens the possibility of treatment discontinuation. The objective of this analysis was to develop a prediction model for a sustained molecular response with BCR-ABL1 level <0.0032% on the international scale (MR

methodsData for 603 patients with newly diagnosed chronic myeloid leukemia in chronic phase in consecutive prospective clinical trials were analyzed. The best fit average molecular response was defined by robust linear regression models, with which the average molecular levels were defined. The minimum acceptable molecular response was defined by quantile regression for the 95th percentile, with which the worst 5% BCR-ABL1 levels were identified.

resultsIn 603 patients with a median follow-up of 103 months, 2002 BCR-ABL1-level data points within 1 year of tyrosine kinase inhibitors were identified. The regression equation for the best fit average levels for a sustained MR

conclusionsThis model proposes optimal values that predict the highest probability of reaching such a goal. These values can be used to guide therapy when a sustained MR

Indexed as

Models, BiologicalAdolescentAdultAgedAged, 80 and overAntineoplastic AgentsFemaleFollow-Up StudiesFusion Proteins, bcr-ablHumansLeukemia, Myelogenous, Chronic, BCR-ABL PositiveMaleMiddle AgedPrognosisProspective StudiesProtein Kinase InhibitorsAntineoplastic AgentsBCR-ABL1 fusion protein, humanFusion Proteins, bcr-ablProtein Kinase Inhibitorsbest fit averagechronic myeloid leukemiaminimum acceptablemolecular response with BCR-ABL1 level<0.0032% on the international scale (MR4.5)tyrosine kinase inhibitor

Identifiers

PMID29266206
PMCPMC5851790

What OpenQuestion holds

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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.