Evidence map›Paper›PMID 25300870›Full record

ArticleBiology of blood and marrow transplantation : journal of the American Society for Blood and Marrow Transplantation2015

Patients with Philadelphia-positive leukemia with BCR-ABL kinase mutations before allogeneic transplantation predominantly relapse with the same mutation.

Daniel N Egan, Lan Beppu, Jerald P Radich

Open access · hybridAbstract read
In one paragraph

Article in Biology of blood and marrow transplantation : journal of the American Society for Blood and Marrow Transplantation, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.

0numbers the graph read from it
0cells of the map it votes in
11citing papers in PubMed
1.4field-weighted citation impact, top 18% 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

11 citing papers in PubMed, 20 citations in OpenAlex.

  1. Trial
  2. Review
  3. Ph+ ALL in 2022: is there an optimal approach?Hematology. American Society of Hematology. Education Program · 2022
    Article
  4. Review
  5. Review
  6. Review
  7. Article
  8. We do still transplant CML, don't we?Hematology. American Society of Hematology. Education Program · 2018
    Review
  9. Article
  10. Article
  11. Review
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

3 authors at 2 institutions in 1 country.

Daniel N EganDivision of Medical Oncology, Department of Medicine, University of Washington, Seattle, Washington. Electronic address: egand@uw.edu.
Lan BeppuFred Hutchinson Cancer Research Center, Clinical Research Division, Seattle, Washington.
Jerald P RadichFred Hutchinson Cancer Research Center, Clinical Research Division, Seattle, Washington.
Fred Hutch Cancer Center · USUniversity of Washington Medical Center · US

Funding

VIRUS-MEDIATED MYELOSUPPRESSIONP01CA018029 · NCI · FRED HUTCHINSON CANCER RESEARCH CENTER · PI Geoffrey Roger HILL · 1985 to 2026
$128.4M
TRAINING IN CANCER BIOLOGY &TRANSPLANTATIONT32CA009515 · NCI · UNIVERSITY OF WASHINGTON · PI NANCY ELLEN DAVIDSON, Effie W Petersdorf · 1985 to 2026
$16.2M
NCI NIH HHS 5-T32-CA009515-28/29NCI NIH HHS P01 CA018029NCI NIH HHS T32 CA009515
6 · The paper itself

Abstract

Despite the successes of tyrosine kinase inhibitors (TKIs) in improving outcomes in patients with chronic myeloid leukemia (CML) and Philadelphia-positive acute lymphoblastic leukemia (Ph + ALL), allogeneic hematopoietic stem cell transplantation (HSCT) continues to be an important and potentially curative option for selected patients with either disease. After HSCT, TKIs are increasingly being used to treat or prevent disease relapse, and practice patterns suggest that these TKIs are often chosen empirically without regard to pre-HSCT mutation status. We investigated whether ABL kinase domain mutations persist after transplantation and, thus, whether pre-HSCT mutation status should inform the selection of post-HSCT TKIs in these patients. We retrospectively analyzed adults who underwent allogeneic HSCT for CML and Ph + ALL at our institution between 2000 and 2010, and we identified subjects who had detectable BCR-ABL transcripts by polymerase chain reaction (PCR), as well as available RNA for Sanger sequencing of the ABL kinase domain, in both the pre- and post-HSCT settings. In total, 95 CML and 20 Ph + ALL patients with positive PCR transcripts were identified, of which 10 (10.5%) and 4 (20.0%), respectively, were found to have pre-HSCT ABL kinase mutations known to confer TKI resistance. In 9 (64.2%) of these 14 patients, the same kinase mutation was also detectable at an average time of 191 days after HSCT. Seven (50.0%) of the 14 harboring mutations had relapsed/refractory disease by last follow-up, of which, in retrospect, 6 had received a predictably ineffective TKI within the first 100 days after transplantation based on our mutation analysis. These data support the idea that pre-existing mutations in the ABL kinase domain, frequently associated with resistance to TKIs and prevalent in a transplantation population, are persistently detectable in the majority of patients after transplantation. We propose that such resistance patterns should be considered when selecting TKIs in the post-HSCT setting, including clinical trials of post-HSCT TKI prophylaxis.

Indexed as

Hematopoietic Stem Cell TransplantationTransplantation ConditioningAdolescentAdultAgedAntineoplastic AgentsDNA Mutational AnalysisDrug Resistance, NeoplasmFemaleFusion Proteins, bcr-ablHumansLeukemia, Myelogenous, Chronic, BCR-ABL PositiveMaleMiddle AgedMutationPrecursor Cell Lymphoblastic Leukemia-LymphomaAntineoplastic AgentsFusion Proteins, bcr-ablProtein Kinase InhibitorsAllogeneic hematopoietic stem cell transplantationBCR-ABL kinase mutationsChronic myeloid leukemiaPhiladelphia-chromosome acute lymphoblastic leukemia

Identifiers

PMID25300870
PMCPMC4464836
OpenAlexW2070786150

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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.