MétaCan
Menu
Back to cohort
Record W2987417079 · doi:10.1182/blood-2019-124392

Combination of Venetoclax and Ibrutinib Increases bcl2-Dependent Apoptotic Priming, Reduces ITK-Phosphorylation and Is Clinically Promising in Relapsed/Refractory T-Prolymphocytic Leukemia

2019· article· en· W2987417079 on OpenAlexaff
Christoph Kornauth, Charles Herbaux, Bernd Boidol, Chantal Guillemette, Patrick Caron, Stéphanie Poulain, Olivier Tournilhac, Marius E. Mayerhoefer, Ulrich Jaeger, Stefan Kubicek, Matthew S. Davids, Philipp B. Staber

Bibliographic record

VenueBlood · 2019
Typearticle
Languageen
FieldMedicine
TopicChronic Lymphocytic Leukemia Research
Canadian institutionsUniversité Laval
Fundersnot available
KeywordsVenetoclaxIbrutinibProlymphocytic leukemiaCancer researchIdelalisibMedicinePharmacologyLeukemiaOncologyInternal medicineChronic lymphocytic leukemia

Abstract

fetched live from OpenAlex

Introduction T-cell prolymphocytic leukemia (T-PLL) is a rare and aggressive T-lymphoid malignancy with poor response to current treatment strategies. We recently demonstrated single agent activity of venetoclax in relapsed/refractory (r/r) T-PLL, however resistance developed on mono-therapy. We here set out to identify partners for an effective combinatorial treatment concept. Methods To overcome bcl-2 inhibitor resistance we utilized primary T-PLL patient samples and applied a combinatorial next-generation functional drug screen for venetoclax and 25 additional therapeutic agents (Fig.1a). Molecular mechanisms of drug combinations were evaluated by BH3-family member profiling and mass spectrometry. Protein expression was assessed by Western Blot and viability by AnnexinV/Hoechst staining. The best scoring combination was evaluated in two late stage r/r T-PLL patients. Results Pairwise combinations screen of venetoclax with candidate small molecule inhibitors and chemotherapeutic drugs on primary T-PLL cells revealed synergistic action of venetoclax with ibrutinib, idelalisib, and 5-azacytidine, and to lower extents Olaparib, Temsirolimus, Ruxolitinib and Belinostat whereas cisplatin antagonized the effect of venetoclax across all patient samples tested (Fig 1b). The combination of venetoclax and ibrutinib resulted in substantial reduction of viability in primary T-PLL cells (Fig 1c). BH3-profiling on primary T-PLL samples with and without ibrutinib treatment demonstrated enhanced overall priming with predominant increase of bcl-2 dependency upon ibrutinib treatment (Fig 1d). Addition of ibrutinib to venetoclax led to decreased phosphorylation of ITK in vivo (Fig 1e). Two patients suffering from r/r T-PLL after failing at least two treatment lines including alemtuzumab were treated with the combination of venetoclax and ibrutinib resulting in significant clinical responses with substantial drops in leukocytosis and LDH as well as substantial clinical improvement (Fig 2a, b). The dynamic BH3 profiling in samples taken from these patients confirmed that the addition of ibrutinib is indeed increasing overall priming and Bcl-2 dependency (Fig 2c, d). Conclusion Our findings suggest efficacy of combinatorial treatment of venetoclax with ibrutinib in T-PLL. Mechanistically, ibrutinib dephosphorylated ITK in T-PLL cells and, furthermore, enhanced BCL2 dependency, both, in-vivo and in-vitro. Patients treated with the combination venetoclax and ibrutinib experienced profound clinical responses which needs further evaluation in an prospective clinical study on a larger cohort of r/r T-PLL patients. Disclosures Herbaux: Abbvie: Honoraria; Janssen: Honoraria; Takeda: Honoraria; BMS: Honoraria; Gilead: Honoraria. Mayerhoefer:Siemens: Research Funding, Speakers Bureau; BMS: Speakers Bureau. Jaeger:Novartis, Roche, Sandoz: Consultancy; AbbVie, Celgene, Gilead, Novartis, Roche, Takeda Millennium: Research Funding; Amgen, AbbVie, Celgene, Eisai, Gilead, Janssen, Novartis, Roche, Takeda Millennium, MSD, BMS, Sanofi: Honoraria; Celgene, Roche, Janssen, Gilead, Novartis, MSD, AbbVie, Sanofi: Membership on an entity's Board of Directors or advisory committees. Davids:AbbVie, Acerta Pharma, Adaptive, Biotechnologies, Astra-Zeneca, Genentech, Gilead Sciences, Janssen, Pharmacyclics, TG therapeutics: Membership on an entity's Board of Directors or advisory committees; AbbVie, Astra-Zeneca, Genentech, Janssen, MEI, Pharmacyclics, Syros Pharmaceuticals, Verastem: Consultancy; Acerta Pharma, Ascentage Pharma, Genentech, MEI pharma, Pharmacyclics, Surface Oncology, TG Therapeutics, Verastem: Research Funding; Research to Practice: Honoraria. Staber:Takeda-Millenium: Honoraria, Membership on an entity's Board of Directors or advisory committees, Research Funding, Speakers Bureau; MSD: Honoraria, Speakers Bureau; Celgene: Honoraria, Membership on an entity's Board of Directors or advisory committees; AbbVie: Honoraria, Membership on an entity's Board of Directors or advisory committees, Speakers Bureau; Roche: Honoraria, Membership on an entity's Board of Directors or advisory committees, Research Funding, Speakers Bureau; Janssen: Honoraria, Speakers Bureau; Gilead: Honoraria, Membership on an entity's Board of Directors or advisory committees, Speakers Bureau. OffLabel Disclosure: Ibrutinib - BTK inhibitor Venetoclax - bcl2 inhibitor

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Bench or experimental · Consensus signal: Bench or experimental
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.002
Threshold uncertainty score0.007

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0020.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.016
GPT teacher head0.287
Teacher spread0.271 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designBench or experimental
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations1
Published2019
Admission routes1
Has abstractyes

Explore more

Same venueBloodSame topicChronic Lymphocytic Leukemia ResearchFrench-language works237,207