Evidence map›Paper›PMID 39037964›Full record

Observational studyPLoS medicine2024

New pharmacodynamic parameters linked with ibrutinib responses in chronic lymphocytic leukemia: Prospective study in real-world patients and mathematical modeling.

Sarah Cadot, Chloe Audebert, Charlotte Dion, Soleakhena Ken, Loic Dupré, Laetitia Largeaud, Camille Laurent, Loic Ysebaert, Fabien Crauste, Anne Quillet-Mary

Registry-linked trialAbstract readObservational Study
In one paragraph

Observational study in PLoS medicine, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT02824159 (Real Life Assessment of the Association and Its Determinants Between Side Effects and Plasmatic Concentrations of Two Protein Kinase Inhibitors), which is not on this map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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.

NCT02824159 completednot on this map

Real Life Assessment of the Association and Its Determinants Between Side Effects and Plasmatic Concentrations of Two Protein Kinase Inhibitors: Ibrutinib (IMBRUVICA®) and Idelalisib (ZYDELIG®) in Hematological Malignancies Treatment.

TypeobservationalSponsorUniversity Hospital, ToulouseRan2016 to 2020Enrolled121ConditionsHematological MalignanciesArmsBlood samples for pharmacokinetics exploration, Imagery, Quality of life scale, Detection of adverse events, Saliva samples
3 · Its place in the literature

Who cites it

2 citing papers in PubMed.

  1. Trial
  2. 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

10 authors.

Sarah CadotINSERM UMR1037, CNRS UMR5071, Université Toulouse III-Paul Sabatier, Centre de Recherches en Cancérologie de Toulouse, Toulouse, France.
Chloe AudebertSorbonne Université, CNRS, Université Paris Cité, Laboratoire Jacques-Louis Lions UMR 7598, Paris, France.ORCID 0000-0002-0914-2107
Charlotte DionSorbonne Université, UMR CNRS 8001, LPSM, Paris, France.
Soleakhena KenINSERM UMR1037, CNRS UMR5071, Université Toulouse III-Paul Sabatier, Centre de Recherches en Cancérologie de Toulouse, Toulouse, France.
Loic DupréInstitut Toulousain des Maladies Infectieuses et Inflammatoires, INSERM, CNRS, Université Toulouse III-Paul Sabatier, Toulouse, France.ORCID 0000-0002-7278-6503
Laetitia LargeaudINSERM UMR1037, CNRS UMR5071, Université Toulouse III-Paul Sabatier, Centre de Recherches en Cancérologie de Toulouse, Toulouse, France.
Camille LaurentINSERM UMR1037, CNRS UMR5071, Université Toulouse III-Paul Sabatier, Centre de Recherches en Cancérologie de Toulouse, Toulouse, France.
Loic YsebaertINSERM UMR1037, CNRS UMR5071, Université Toulouse III-Paul Sabatier, Centre de Recherches en Cancérologie de Toulouse, Toulouse, France.ORCID 0000-0003-4102-7261
Fabien CrausteUniversité Paris Cité, CNRS, MAP5 UMR 8145, Paris, France.ORCID 0000-0002-9979-9638
Anne Quillet-MaryINSERM UMR1037, CNRS UMR5071, Université Toulouse III-Paul Sabatier, Centre de Recherches en Cancérologie de Toulouse, Toulouse, France.ORCID 0000-0002-1849-6388

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundOne of the first clinical observations of ibrutinib activity in the treatment of chronic lymphocytic leukemia (CLL) is a rapid decline in lymph nodes size. This phenomenon is accompanied by an hyperlymphocytosis, either transient or prolonged, which is associated with distinct clinical responses and thus has an impact on long-term outcomes. Understanding which factors determine distinct disease courses upon ibrutinib treatment remains a scientific challenge. METHODS AND

findingsFrom 2016 to 2021, we conducted a longitudinal and observational study in 2 cohorts of patients with chronic lymphocytic leukemia (CLL) (cohort 1, n = 41; cohort 2, n = 81). These cohorts reflect the well-known clinical features of CLL patients, such as Male/Female sex ratio of 2/1, a median age of 70 years at diagnosis, and include patients in first-line therapy (27%) or relapsed/refractory patients (73%). Blood cell counts were followed for each patient during 2 years of ibrutinib treatment. In addition, immunophenotyping and whole-body magnetic resonance imaging (MRI) were assessed in patients from cohort 1. These data were integrated in a newly built mathematical model, inspired by previous mathematical works on CLL treatment and combining dynamical and statistical models, leading to the identification of biological mechanisms associated with the 2 types of clinical responses. This multidisciplinary approach allowed to identify baseline parameters that dictated lymphocytes kinetics upon ibrutinib treatment. Indeed, ibrutinib-induced lymphocytosis defined 2 CLL patient subgroups, transient hyperlymphocytosis (tHL) or prolonged hyperlymphocytosis (pHL), that can be discriminated, before the treatment, by absolute counts of CD4+ T lymphocytes (p = 0.026) and regulatory CD4 T cells (p = 0.007), programmed cell death protein 1 PD1 (p = 0.022) and CD69 (p = 0.03) expression on B leukemic cells, CD19/CD5high/CXCR4low level (p = 0.04), and lymph node cellularity. We also pinpointed that the group of patients identified by the transient hyperlymphocytosis has lower duration response and a poor clinical outcome. The mathematical approach led to the reproduction of patient-specific dynamics and the estimation of associated patient-specific biological parameters, and highlighted that the differences between the 2 groups were mainly due to the production of leukemic B cells in lymph node compartments, and to a lesser extent to T lymphocytes and leukemic B cell egress into bloodstream. Access to additional data, especially longitudinal MRI data, could strengthen the conclusions regarding leukemic B cell dynamics in lymph nodes and the relevance of 2 distinct groups of patients.

conclusionsAltogether, our multidisciplinary study provides a better understanding of ibrutinib response and highlights new pharmacodynamic parameters before and along ibrutinib treatment. Since our results highlight a reduced duration response and outcome in patients with transient hyperlymphocytosis, our approach provides support for managing ibrutinib therapy after 3 months of treatment.

trial registrationClinicalTrials.gov NCT02824159.

Indexed as

AdenineLeukemia, Lymphocytic, Chronic, B-CellPiperidinesAgedAged, 80 and overFemaleHumansLongitudinal StudiesMagnetic Resonance ImagingMaleMiddle AgedModels, TheoreticalProspective StudiesProtein Kinase InhibitorsPyrazolesPyrimidinesAdenineibrutinibPiperidinesProtein Kinase InhibitorsPyrazolesPyrimidines

Identifiers

PMID39037964
PMCPMC11262688

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Registered trials

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.