Evidence map›Paper›PMID 38695126›Full record

ArticleHaematologica2024

The initial molecular response predicts the deep molecular response but not treatment-free remission maintenance in a real-world chronic myeloid leukemia cohort.

Sandrine Saugues, Céline Lambert, Elisabeth Daguenet, Gabrielle Roth-Guepin, Françoise Huguet, Pascale Cony-Makhoul, Hyacinthe Johnson Ansah, Martine Escoffre-Barbe, Ali Turhan, Philippe Rousselot and 5 more

Open access · goldAbstract read
In one paragraph

Article in Haematologica, 2024. 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
3.2field-weighted citation impact, top 8% 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, 7 citations in OpenAlex.

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  7. EarlyCancers · 2025
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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

15 authors at 11 institutions in 1 country.

Sandrine SauguesHématologie FBeirorlaongdiq, uFer,a nCcHe U Clermont-Ferrand, Clermont; Equipe d'Accueil EA7453 CHELTER, Université Clermont Auvergne, Clermont-Ferrand.
Céline LambertUnité de Biostatistiques, DRCI, CHU Clermont-Ferrand, Clermont-Ferrand.
Elisabeth DaguenetHématologie, Institut de Cancérologie Lucien Neuwirth, Saint-Priest-en-Jarez.
Gabrielle Roth-GuepinHématologie Clinique, CHRU Brabois, Vandoeuvre-les-Nancy.
Françoise HuguetHématologie, Institut Universitaire du Cancer Toulouse Oncopole, CHU de Toulouse, Toulouse.
Pascale Cony-MakhoulHématologie, CH Annecy-Genevois, Pringy.
Hyacinthe Johnson AnsahInstitut d'Hématologie de Basse Normandie, CHU, Caen.
Martine Escoffre-BarbeHématologie, Hôpital de Pontchaillou, Centre Hospitalier Universitaire de Rennes, Rennes.
Ali TurhanInserm U935 - Service d'Hématologie, Hôpital Bicêtre AP-HP, Le Kremlin-Bicêtre.
Philippe RousselotHématologie Clinique, Centre Hospitalier de Versailles and UMR1184, Le Chesnay.
Andreï TchirkovUnité de Biostatistiques, DRCI, CHU Clermont-Ferrand, Clermont-Ferrand, France; Cytogénétique Médicale, CHU Clermont-Ferrand, Clermont-Ferrand.
Dalil HamrounDirection de La Recherche Et de L'Innovation, CHRU de Montpellier, Montpellier.
Eric HermetHématologie Clinique Adulte, CHU Clermont-Ferrand, Clermont-Ferrand.
Bruno PereiraUnité de Biostatistiques, DRCI, CHU Clermont-Ferrand, Clermont-Ferrand.
Marc G BergerHématologie FBeirorlaongdiq, uFer,a nCcHe U Clermont-Ferrand, Clermont; Equipe d'Accueil EA7453 CHELTER, Université Clermont Auvergne, Clermont-Ferrand, France; Hématologie Clinique Adulte, CHU Clermont-Ferrand, Clermont-Ferrand. mberger@chuclermontferrand.Fr.
Centre Hospitalier Universitaire de Clermont-Ferrand · FRUniversité Clermont Auvergne · FRBicêtre Hospital · FRCentre Hospitalier Annecy Genevois · FRCentre Hospitalier de Versailles · FRCentre Hospitalier Régional et Universitaire de Nancy · FRCentre Hospitalier Universitaire de Rennes · FRConseil Régional de Basse-Normandie · FRInstitut Agro Montpelier · FRInstitute Cancer De La Loire Lucien Neuwirth · FRInstitut universitaire du cancer de Toulouse Oncopole · FR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

In chronic myeloid leukemia, the identification of early molecular predictors of stable treatment-free remission (TFR) after tyrosine kinase inhibitor (TKI) discontinuation is challenging. The predictive values of residual disease (BCR::ABL1 quantification) at month 3 and 6 and more recently, BCR::ABL1 transcript halving time (HT) have been described, but no study compared the predictive value of different early parameters. Using a real-world cohort of 408 patients, we compared the performance of the EUTOS long-term survival (ELTS) score, BCR::ABL1 HT, and residual disease at month 3 and 6 to predict the molecular response, achievement of the TKI discontinuation criteria, and TFR maintenance. The performances of BCR::ABL1 HT and residual disease at month 3 were similar. Residual disease at month 6 displayed the best performance for predicting the optimal response (area under the ROC curve between 0.81 and 0.92; cut-off values: 0.11% for MR4 at month 24 and 0.12% for MR4.5 at month 48). Conversely, no early parameter predicted reaching the TKI discontinuation criteria and TFR maintenance. We obtained similar results when patients were divided in subgroups by first-line treatment (imatinib vs. second-generation TKI [2G-TKI]). We identified a relationship between ELTS score, earlier milestones and TFR maintenance only in the 2G-TKI group. In conclusion, this first comparative study of early therapeutic response parameters showed that they are excellent indicators of TKI efficacy (BCR::ABL1 transcript reduction) and best responders. Conversely, they did not predict the achievement of the TKI discontinuation criteria and TFR maintenance, suggesting that other parameters are involved in TFR maintenance.

Indexed as

Leukemia, Myelogenous, Chronic, BCR-ABL PositiveNeoplasm, ResidualProtein Kinase InhibitorsRemission InductionAdultAgedAged, 80 and overCohort StudiesFemaleFusion Proteins, bcr-ablHumansMaleMiddle AgedPrognosisTreatment OutcomeYoung AdultFusion Proteins, bcr-ablProtein Kinase Inhibitors

Identifiers

PMID38695126
PMCPMC11367206
OpenAlexW4396596319

What OpenQuestion holds

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LicenceCC BY-NC
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.