Evidence map›Paper›PMID 28387926›Full record

ArticleCancer2017

Overall survival with ponatinib versus allogeneic stem cell transplantation in Philadelphia chromosome-positive leukemias with the T315I mutation.

Franck E Nicolini, Grzegorz W Basak, Dong-Wook Kim, Eduardo Olavarria, Javier Pinilla-Ibarz, Jane F Apperley, Timothy Hughes, Dietger Niederwieser, Michael J Mauro, Charles Chuah and 7 more

Open access · hybridAbstract readComparative Study
In one paragraph

Article in Cancer, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 50 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
50citing papers in PubMed, 1 pooled it
8.3field-weighted citation impact, top 2% 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

50 citing papers in PubMed, 1 synthesis or guideline pooled it, 131 citations in OpenAlex.

  1. Pooled it
  2. Article
  3. Chronic Myeloid Leukemia and the T315IInternational journal of molecular sciences · 2025
    Review
  4. Article
  5. Article
  6. Article
  7. Article
  8. Article
  9. Article
  10. Article
  11. Article
  12. Review
  13. Review
  14. Article
  15. Review
  16. Transplantation in CML in the TKI era: who, when, and how?Hematology. American Society of Hematology. Education Program · 2022
    Article
  17. Article
  18. Review
  19. Article
  20. Blast and accelerated phase CML: room for improvement.Hematology. American Society of Hematology. Education Program · 2021
    Article
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

17 authors at 15 institutions in 9 countries.

Franck E NicoliniHematology Department, Lyon South-Pierre-Bénite Hospital Center and Unit 1052, National Institute of Health and Medical Research Lyon Cancer Research Center/Léon Berard Center, Lyon, France.
Grzegorz W BasakDepartment of Hematology, Oncology and Internal Medicine, Medical University of Warsaw, Warsaw, Poland.
Dong-Wook KimLeukemia Research Institute, Seoul St. Mary's Hospital, The Catholic University of Korea, Seoul, Korea.
Eduardo OlavarriaDepartment of Haematology, Imperial College London, Hammersmith Hospital, London, United Kingdom.
Javier Pinilla-IbarzH. Lee Moffitt Cancer Center and Research Institute, Tampa, Florida.
Jane F ApperleyDepartment of Haematology, Imperial College London, Hammersmith Hospital, London, United Kingdom.
Timothy HughesDepartment of Pathology, Royal Adelaide Hospital, Adelaide, South Australia, Australia.
Dietger NiederwieserDepartment of Haematology and Medical Oncology, University of Leipzig, Leipzig, Germany.
Michael J MauroDepartment of Leukemia, Memorial Sloan Kettering Cancer Center, New York, New York.
Charles ChuahDepartment of Haematology, Singapore General Hospital, Duke-NUS Medical School, Singapore.
Andreas HochhausClinic and Polyclinic for Internal Medicine II, Division of Hematology and Oncology, Jena University Hospital, Jena, Germany.
Giovanni MartinelliL. e A. Seragnoli Institute of Hematology, Bologna, Italy.
Maral DerSarkissianAnalysis Group, Inc, Boston, Massachusetts.
Mei Sheng DuhAnalysis Group, Inc, Boston, Massachusetts.
Lisa J McGarryARIAD Pharmaceuticals, Inc, Cambridge, Massachusetts.
Hagop M KantarjianDepartment of Leukemia, The University of Texas MD Anderson Cancer Center, Houston, Texas.
Jorge E CortesDepartment of Leukemia, The University of Texas MD Anderson Cancer Center, Houston, Texas.
Analysis Group (United States) · USThe University of Texas MD Anderson Cancer Center · USCentre de Recherche en Cancérologie de Lyon · FRHammersmith Hospital · GBIdera Pharmaceuticals (United States) · USImperial College London · GBIstituto Oncologico Romagnolo · ITJena University Hospital · DELeipzig University · DEMedical University of Warsaw · PLMemorial Sloan Kettering Cancer Center · USMoffitt Cancer Center · USRoyal Adelaide Hospital · AUSeoul St. Mary's Hospital · KRSingapore General Hospital · SG

Funding

Tumor Evolution and Metastasis ProgramP30CA016672 · NCI · UNIVERSITY OF TX MD ANDERSON CAN CTR · PI Scott Kopetz · 1985 to 2026
$290.8M
NCI NIH HHS P30 CA016672
6 · The paper itself

Abstract

backgroundEffective treatment options for patients with chronic myeloid leukemia (CML) or Philadelphia-positive (Ph+) acute lymphoblastic leukemia (ALL) who have the threonine to isoleucine mutation at codon 315 (T315I) are few. The objective of this study was to compare overall survival (OS) between patients with CML and those with Ph+ ALL who received treatment with ponatinib versus allogeneic stem cell transplantation (allo-SCT).

methodsA post hoc, retrospective, indirect comparison of OS among patients who received single-agent ponatinib in the Ponatinib Ph+ ALL and CML Evaluation (PACE) trial with those who underwent allo-SCT as reported to the European Bone Marrow Transplant registry, stratified by CML disease phase and Ph+ ALL, was conducted. Kaplan-Meier survival curves and multivariate Cox proportional-hazards models were used to compare OS between intervention groups, adjusting for time from diagnosis to intervention, age, sex, and geographic region; 24-month and 48-month OS rates and median OS were reported.

resultsAfter adjustment for potential confounders, 24-month and 48-month OS rates were significantly higher in patients with chronic-phase CML (CP-CML) who received ponatinib compared with those who underwent allo-SCT (24 months: 84% vs 60.5%, respectively; P = .004; 48 months: 72.7% vs 55.8%, respectively; P = .013), with a hazard ratio (HR) of 0.37 (95% confidence interval [CI], 0.16-0.84; P = .017). In patients who had accelerated-phase CML, OS rates were not significantly different between the groups (HR, 0.90; 95% CI, 0.20-4.10; P = .889). In patients who had blast-crisis CML and those with Ph+ ALL, ponatinib was associated with shorter OS compared with allo-SCT (blast-crisis CML: HR, 2.29 [95% CI, 1.08-4.82; P = .030]; Ph+ ALL: HR, 2.77 [95% CI, 0.73-10.56; P = .146]).

conclusionsAlthough allo-SCT remains an important treatment option for patients with T315I-positive advanced CML and Ph+ ALL, ponatinib represents a valuable alternative for patients with T315I-positive CP-CML. Cancer 2017;123:2875-80. © 2017 American Cancer Society.

Indexed as

AdultAgedAntineoplastic AgentsBlast CrisisFemaleHumansImidazolesKaplan-Meier EstimateLeukemia, Myelogenous, Chronic, BCR-ABL PositiveMaleMiddle AgedMultivariate AnalysisMutationPhiladelphia ChromosomePrecursor Cell Lymphoblastic Leukemia-LymphomaProportional Hazards ModelsAntineoplastic AgentsImidazolesponatinibPyridazinesallogeneic stem cell transplantation (allo-SCT)chronic myeloid leukemia (CML)Philadelphia chromosome-positive acute lymphoblastic leukemia (Ph+ ALL)ponatinibthreonine to isoleucine mutation at codon 315 (T315I)

Identifiers

PMID28387926
PMCPMC5573914
OpenAlexW2604410663

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
Read underepoch 390

Registered trials

None linked

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.