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MCL-1 inhibitor pipeline in hematologic malignancies

MCL-1 Inhibitor Pipeline in Hematologic Malignancies — PatSnap Insights
Drug Discovery Intelligence

MCL-1 overexpression has emerged as the dominant mechanism of venetoclax resistance across AML, multiple myeloma, mantle cell lymphoma, and DLBCL. This analysis maps the preclinical and translational landscape of direct MCL-1 inhibitors, CDK9-mediated transcriptional suppression, NOXA induction strategies, and radioimmunotherapy-based approaches — and the combination frameworks being built around them.

PatSnap Insights Team Drug Discovery Intelligence Analysts 11 min read
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Reviewed by the PatSnap Insights editorial team ·

MCL-1 as the Central Venetoclax Resistance Node

MCL-1 (myeloid cell leukemia-1) overexpression is the single most recurrently cited mechanism of venetoclax resistance across more than 15 retrieved research results spanning AML, multiple myeloma (MM), mantle cell lymphoma (MCL), and DLBCL. As the Amsterdam UMC review confirms, “decreased sensitivity [to venetoclax] is associated with upregulation of MCL-1” — a finding replicated by independent groups at the Mayo Clinic, MD Anderson Cancer Center, and the University Hospital Bern. The Mayo Clinic characterises MCL-1 as “one of the most frequently amplified genes in cancer” and a driver of venetoclax resistance across hematologic tumors.

65%
Overall response rate, venetoclax + azacitidine in AML (VIALE-A)
14.7mo
Median overall survival, venetoclax + azacitidine in AML (VIALE-A)
59%
Overall response rate, venetoclax + HMA in treatment-naive and R/R MDS (U. of Pennsylvania)
63%
Proportion of MDS responders proceeding to transplant (U. of Pennsylvania)

The biological rationale is straightforward: venetoclax is a selective BCL-2 BH3-mimetic that displaces pro-apoptotic proteins from BCL-2. When MCL-1 is overexpressed, it sequesters those same pro-apoptotic proteins — BIM, NOXA, PUMA — redirecting apoptotic signalling away from the venetoclax-sensitive BCL-2 node. This creates a parallel survival pathway that venetoclax alone cannot address.

Disease-specific patterns of MCL-1 dependence are well-documented. In multiple myeloma, results from the University of Colorado and Emory University’s Winship Cancer Institute confirm that MCL-1 is the dominant BCL-2 family survival factor in most MM subtypes, with BCL-2 itself relevant primarily in the t(11;14) translocation subgroup. In MCL and DLBCL — including cell lines bearing the t(14;18) translocation — co-expression of MCL-1 alongside BCL-2 is identified as the principal driver of intrinsic and acquired venetoclax resistance. A 2012 study from the University of Magdeburg documented selective MCL-1 upregulation in FLT3-ITD-positive AML cell lines and primary blasts, showing that reversal of this upregulation via FLT3 inhibition restored sensitivity to cytotoxic agents — establishing the upstream signalling link that later kinase inhibitor combination strategies would exploit.

Key molecular targets in the MCL-1 resistance network

Beyond MCL-1 protein itself, retrieved results identify CDK9 (transcriptional maintenance of MCL-1 mRNA via P-TEFb), CDK7 (additional transcriptional suppression of MCL-1 and MYC), NOXA/PMAIP1 (endogenous MCL-1 antagonist), BCL-XL (co-resistance factor), CK2/casein kinase 2 (MCL-1 stability regulator identified by CRISPR screen in MCL), AXL/MERTK (receptor tyrosine kinases sustaining ERK and MCL-1 in FLT3-ITD AML), and FLT3 (upstream driver of MCL-1 transcription in AML) as pharmacologically tractable nodes.

MCL-1 upregulation is identified as the dominant mechanism of venetoclax resistance across AML, multiple myeloma, mantle cell lymphoma, and DLBCL in more than 15 independent research results, making it the principal druggable resistance node in the venetoclax era.

Direct BH3-Mimetic MCL-1 Inhibitors: Agents and Evidence

Direct MCL-1 inhibitors occupy the BH3-binding groove of the MCL-1 protein, preventing it from sequestering pro-apoptotic effectors — the most mechanistically targeted approach to overcoming MCL-1-driven venetoclax resistance. Four named agents with preclinical activity are documented in the retrieved literature, all at predominantly preclinical development stages.

S63845 is the most broadly evaluated direct MCL-1 inhibitor in this dataset. The University Hospital Bern tested it in combination with MDM2 inhibitor HDM201 and MEK1/2 inhibitor trametinib in AML models in 2019. Yale University (2020) demonstrated single-agent S63845 activity across all MDS subtypes — in contrast to venetoclax, whose activity correlated with blast count — and validated dual BCL-2/MCL-1 inhibition using S63845 plus venetoclax in MISTRG6 mouse models.

AMG-176 was evaluated by the University of Modena (2022) in venetoclax-resistant CLL cells with trisomy 12, where Notch2-induced MCL-1 upregulation conferred resistance. Adding AMG-176 to venetoclax overcame this Notch2/MCL-1-mediated resistance, validating the Notch2–MCL-1 axis as a tractable combination target in B-cell malignancies. A-1210477, studied by AbbVie (2015) in NHL and DLBCL cell lines bearing the t(14;18) translocation, demonstrated that loss of MCL-1 function sensitised BCL2-high cells to venetoclax, identifying MCL-1 and BCL-2 as the two co-essential survival targets in this lymphoma subtype.

KS18, a pyoluteorin-derived MCL-1 inhibitor characterised by Cooper Health University in 2023, adds a mechanistic dimension absent from earlier agents: it promotes ubiquitin-proteasome system (UPS)-dependent MCL-1 degradation rather than simple BH3-groove occupancy. This degradation mechanism sensitised bortezomib- and venetoclax-resistant multiple myeloma cells, suggesting potential utility in heavily pre-treated MM patients who have progressed past proteasome inhibitor lines — a population with limited options according to NIH-supported myeloma research programmes.

“Novel MCL-1 inhibitors are under clinical investigation” — Mayo Clinic, 2019; yet no Phase III trial results specifically evaluating a direct MCL-1 inhibitor were found in the retrieved dataset, underscoring the translational gap that the field must still close.

Figure 1 — Direct MCL-1 BH3-Mimetic Inhibitors: Disease Indication Coverage
Direct MCL-1 Inhibitors by Disease Indication in Hematologic Malignancies 0 1 2 3 Indications Studied 3 S63845 (AML, MDS, MM) 1 AMG-176 (CLL/trisomy 12) 1 A-1210477 (NHL/DLBCL) 1 KS18 (Resistant MM) Broadest coverage Single-indication Novel UPS mechanism
S63845 has the broadest preclinical indication coverage (AML, MDS, and myeloma contexts), while AMG-176, A-1210477, and KS18 each address a single hematologic malignancy subtype. All evidence is preclinical; no Phase III direct MCL-1 inhibitor data are present in the retrieved dataset.

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The CDK9–MCL-1 Transcriptional Axis and Indirect Suppression Strategies

CDK9 inhibition is the most extensively represented indirect MCL-1 suppression strategy in the retrieved dataset, with converging evidence from Temple University, Cleveland Clinic, and Monash University’s Blood Cancer Therapeutics Laboratory. CDK9 is the catalytic subunit of P-TEFb, which phosphorylates RNA Polymerase II at Serine 2 to drive transcriptional elongation of short-lived survival genes including MCL-1 and MYC. Because MCL-1 protein has a short half-life, CDK9 inhibition causes rapid but transient loss of MCL-1 — a pharmacological characteristic that shapes the entire clinical development strategy for this drug class.

Voruciclib is the most clinically proximate CDK9 inhibitor in this dataset for AML. Research from the First Hospital of Jilin University (2020) demonstrated synergistic antileukemic activity when voruciclib was combined with venetoclax in AML cell lines and primary patient samples via MCL-1 and c-Myc downregulation. Critically, the transient nature of MCL-1 suppression upon CDK9 inhibition necessitated an intermittent, every-other-day dosing schedule to achieve durable efficacy — a key parameter for IND design and clinical scheduling. A-1592668, an orally active CDK9 inhibitor developed through collaboration between AbbVie and Monash University (2019), demonstrated a distinct selectivity profile with potent downregulation of RNA Pol-II Ser2 phosphorylation and MCL-1, inducing apoptosis in MCL-1-dependent hematologic cell lines.

Earlier CDK inhibitors with documented MCL-1 suppression activity include flavopiridol (AbbVie, 2015 — shown to synergise with venetoclax in BCL2-high NHL cell lines) and dinaciclib (Peter MacCallum Cancer Centre, 2014 — demonstrated potent MCL-1 suppression and durable apoptotic responses in aggressive MYC-driven B-cell lymphoma in vivo). CDK7 inhibition represents an adjacent strategy: QS1189, a novel CDK7 inhibitor studied at Asan Medical Center (2019), overcomes acquired venetoclax resistance in MCL by suppressing RNA Pol-II phosphorylation and transcriptional output, implicating CDK7 alongside CDK9 as a viable transcriptional target.

CDK9 inhibitors including voruciclib, A-1592668, flavopiridol, and dinaciclib suppress MCL-1 protein by blocking RNA Polymerase II Serine 2 phosphorylation via P-TEFb inhibition; the transient nature of this MCL-1 loss requires intermittent dosing schedules to achieve durable efficacy in combination with venetoclax.

A mechanistically distinct CDK-based approach comes from a 2022 EMBL Heidelberg paper on CDK7/12/13 inhibition in AML stem cells, which demonstrated synergy with venetoclax through targeting an oscillating leukemia stem cell (LSC) network — a rationale that extends beyond MCL-1 suppression alone and implicates the broader transcriptional CDK family in LSC-level resistance. CDK9 inhibition has also been identified as a vulnerability in ibrutinib-resistant MCL, where enhancer remodelling drives transcriptional addiction susceptible to CDK9 blockade (Moffitt Cancer Center, 2021), broadening the clinical context for this strategy beyond venetoclax resistance alone. According to NCI, transcriptional CDK inhibitors represent one of the most active areas of investigation in lymphoma biology.

Figure 2 — CDK9–MCL-1 Axis: Mechanism of Transcriptional Suppression and Combination Rationale
CDK9 Inhibition Suppresses MCL-1 Transcription to Restore Venetoclax Sensitivity in AML and Lymphoma CDK9/ P-TEFb Ser2-P RNA Pol-II Ser2-P Transcription MCL-1 mRNA/protein Sequesters Apoptosis Blocked CDK9 Inhibitor → + Venetoclax → Step 1 Step 2 Step 3 Step 4
CDK9 phosphorylates RNA Pol-II at Ser2 to drive MCL-1 transcription (Steps 1–3); elevated MCL-1 protein sequesters pro-apoptotic effectors, blocking venetoclax-induced cell death (Step 4). CDK9 inhibitors interrupt Step 1, transiently reducing MCL-1 and restoring venetoclax sensitivity when combined on an intermittent dosing schedule.

NOXA Induction and Radioimmunotherapy: Alternative Routes to MCL-1 Neutralisation

Two mechanistically distinct strategies for neutralising MCL-1 without direct protein-binding inhibitors have generated notable preclinical evidence: pharmacological induction of the endogenous MCL-1 antagonist NOXA, and DNA-damage-triggered MCL-1 degradation via radioimmunotherapy.

NOXA Induction via Pevonedistat and Auranofin

NOXA (encoded by PMAIP1) is a BH3-only protein that selectively antagonises MCL-1 by occupying its BH3-binding groove — functionally mimicking what a direct MCL-1 inhibitor would achieve, but through endogenous induction rather than exogenous small-molecule binding. Vanderbilt University (2021) demonstrated that the NEDD8-activating enzyme inhibitor pevonedistat combined with azacitidine upregulates NOXA/PMAIP1 to a greater degree than azacitidine alone, sensitising AML cells to venetoclax. This provides a mechanistic rationale for a pevonedistat/azacitidine/venetoclax triplet that could specifically overcome MCL-1-mediated resistance without requiring a direct MCL-1 inhibitor — potentially a lower-toxicity route to the same therapeutic end.

Auranofin, a thioredoxin reductase inhibitor, provides a complementary NOXA-induction mechanism. In MLL-rearranged B-cell ALL, the Medical University of Warsaw (2022) showed that auranofin induces NOXA in a p53-independent manner, sensitising to venetoclax by overcoming MCL-1-dependent resistance. The p53-independence is clinically significant: TP53 mutations are common in relapsed haematological malignancies and would render p53-dependent apoptotic pathways non-functional, as documented in ASCO-published clinical series.

The pevonedistat plus azacitidine combination upregulates NOXA (PMAIP1) to a greater degree than either agent alone, sensitising AML cells to venetoclax by neutralising MCL-1 at the BH3-binding groove — providing a mechanistic rationale for a triplet regimen that bypasses the need for a direct MCL-1 inhibitor.

Radioimmunotherapy: 225Ac-Lintuzumab and DNA-Damage-Mediated MCL-1 Degradation

225Ac-lintuzumab — an actinium-225-labelled anti-CD33 antibody developed by Actinium Pharmaceuticals in collaboration with the University of Saskatchewan — represents a mechanistically orthogonal approach. Rather than targeting MCL-1 transcription or protein binding, this clinical-stage radioimmunotherapy suppresses MCL-1 levels via DNA damage, triggering post-translational MCL-1 degradation and reversing venetoclax resistance in two preclinical AML models (2020). The agent is described as a “clinical stage radioimmunotherapy” with evidence of single-agent activity in relapsed/refractory AML, though its MCL-1-suppressing activity has been characterised only in preclinical models. According to WIPO patent filings, targeted radionuclide therapy combined with apoptosis pathway modulators represents an active area of IP development in oncology.

Key finding: NOXA induction vs. direct MCL-1 inhibition

Both pevonedistat/azacitidine-mediated NOXA induction and auranofin-mediated NOXA induction achieve MCL-1 neutralisation indirectly — by flooding the MCL-1 BH3-binding groove with endogenous NOXA rather than occupying it with a synthetic molecule. This approach may circumvent some of the selectivity and toxicity challenges associated with direct BH3-mimetic MCL-1 inhibitors, at the cost of less precise MCL-1 targeting.

225Ac-lintuzumab, a clinical-stage actinium-225-labelled anti-CD33 radioimmunotherapy, suppresses MCL-1 levels via DNA damage-triggered post-translational degradation, reversing venetoclax resistance in two preclinical AML models — a mechanism that bypasses both transcriptional and direct protein-interaction strategies.

Combination Frameworks and Biomarker-Guided Patient Selection

Across the retrieved dataset, a multi-pronged combinatorial framework is emerging to address MCL-1-driven venetoclax resistance — with the most advanced signals pointing towards genotype-matched kinase inhibitor combinations, dual or triple BCL-2 family blockade, and flow cytometry-based biomarker stratification at the leukemia stem cell level.

Kinase Inhibitor Combinations Targeting MCL-1 Upstream

The AXL/MERTK inhibitor ONO-7475, studied at MD Anderson Cancer Center (2021), kills FLT3-ITD AML cells by targeting the ERK–MCL-1 axis downstream of FLT3, synergises potently with venetoclax, and is effective against venetoclax-resistant cells overexpressing MCL-1. This represents a genotype-matched strategy for a defined AML subgroup — an approach consistent with the broader precision oncology paradigm endorsed by FDA biomarker guidance for oncology drug development. The PI3K inhibitor bimiralisib was evaluated in combination with venetoclax, BCL-XL inhibitor A1331852, and MCL-1 inhibitors in IDH2- and FLT3-mutated AML at the University Hospital Bern (2022), signalling a potential triple BCL-2 family blockade approach in genetically defined AML subgroups.

A CRISPR-Cas9 kinome screen at Cancer Center Amsterdam (LYMMCARE, 2022) identified casein kinase 2 (CK2) as a regulator of MCL-1 stability in MCL — a novel kinase target not previously linked to MCL-1. The CK2 inhibitor silmitasertib synergises with venetoclax by downregulating MCL-1, and given shared BCL-2 family dysregulation in MCL and DLBCL, this axis may have broader implications across B-cell lymphoma subtypes.

BCL-XL as a Co-Resistance Factor Requiring Dual Targeting

Results from the University Hospital Bern and others identify BCL-XL co-upregulation as an additional escape mechanism in venetoclax-resistant disease. This finding suggests that single-agent MCL-1 inhibition may be insufficient in some disease contexts and that dual MCL-1/BCL-XL or MCL-1/BCL-2 inhibition — or even triple BCL-2 family blockade — may be required for durable responses. The retrieved dataset includes evaluation of simultaneous BCL-XL inhibitor (A1331852) plus MCL-1 inhibitor plus venetoclax in IDH2/FLT3-mutated AML, representing the most aggressive combination signal in this dataset.

The MAC-Score: Biomarker-Guided MCL-1 Targeting

A 2023 Heidelberg/HI-STEM paper introduces the MAC-Score — a flow cytometry-based measure linking expression ratios of MCL-1 and BCL-2 family proteins in leukemia stem cell (LSC) compartments to predict response to azacitidine/venetoclax therapy. This directly implicates MCL-1 protein levels in clinical outcomes and signals that prospective quantification of BCL-2 family protein ratios at the LSC level may enable patient selection for MCL-1-targeted combination regimens. Converging biomarker signals from Amsterdam UMC (BCL-2 family protein expression biomarkers) and the Mayo Clinic (CDK9 inhibitor response biomarkers) reinforce this as both a scientific opportunity and a competitive differentiator for clinical programmes pairing MCL-1 inhibitors with venetoclax.

Figure 3 — MCL-1 Resistance Combination Strategies by Disease Context
MCL-1 Venetoclax Resistance Combination Strategies by Disease Context: AML, DLBCL, Multiple Myeloma, Mantle Cell Lymphoma Strategy Key Agent(s) Disease Context Stage Direct MCL-1 inhibitor + venetoclax S63845, AMG-176, A-1210477, KS18 AML, MDS, NHL, MM, CLL Preclinical CDK9 inhibitor + venetoclax Voruciclib, A-1592668, dinaciclib, QS1189 AML, MCL, B-cell lymphoma Preclinical NOXA induction + venetoclax Pevonedistat + AZA, auranofin AML, MLL-r B-ALL Preclinical Radioimmunotherapy + venetoclax 225Ac-lintuzumab (anti-CD33) AML (R/R) Clinical stage AXL/MERTK inhibitor + venetoclax ONO-7475 FLT3-ITD AML Preclinical CK2 inhibitor + venetoclax Silmitasertib MCL, DLBCL Preclinical Preclinical Clinical stage agent
Six distinct combination strategies targeting MCL-1-driven venetoclax resistance are represented in the retrieved dataset. Only 225Ac-lintuzumab is described as a clinical-stage agent; all MCL-1-specific combination regimens remain preclinical. Disease context varies by strategy, supporting a genotype-matched approach to combination design.

Patent Activity and IP Landscape Signals

Innovation activity in this dataset is predominantly literature-driven, with only 3 patent records identified among approximately 70 retrieved entries. Commercial IP is concentrated in combination strategies rather than direct MCL-1 inhibitor composition-of-matter: argenx BVBA holds Singapore and EP filings covering CD70 antibody plus venetoclax combinations for AML with LSC eradication rationale, while Novartis AG holds two pending IL-jurisdiction patents covering MDM2 inhibitors post-haematopoietic cell transplantation in AML. This sparse patent landscape suggests that the MCL-1 inhibitor IP space may be undercovered in this dataset and warrants dedicated freedom-to-operate analysis in additional jurisdictions.

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References

  1. Resistance to venetoclax and hypomethylating agents in acute myeloid leukemia — Mayo Clinic Department of Molecular Pharmacology, 2020
  2. Targeting Acute Myeloid Leukemia with Venetoclax; Biomarkers for Sensitivity and Rationale for Venetoclax-Based Combination Therapies — Amsterdam UMC / VUmc, 2022
  3. Rationale for a Combination Therapy Consisting of MCL1- and MEK-Inhibitors in Acute Myeloid Leukemia — University Hospital Bern, 2019
  4. MCL1 dependence across MDS subtypes and dual inhibition of MCL1 and BCL2 in MISTRG6 mice — Yale University School of Medicine, 2020
  5. A novel CDK9 inhibitor increases the efficacy of venetoclax (ABT-199) in multiple models of hematologic malignancies — Monash University / Blood Cancer Therapeutics Laboratory, 2019
  6. Inhibition of CDK9 by voruciclib synergistically enhances cell death induced by venetoclax in preclinical models of acute myeloid leukemia — First Hospital of Jilin University, 2020
  7. Inhibition of cyclin-dependent kinase 9 synergistically enhances venetoclax activity in mantle cell lymphoma — Cleveland Clinic, 2020
  8. Pevonedistat and azacitidine upregulate NOXA (PMAIP1) to increase sensitivity to venetoclax in preclinical models of AML — Vanderbilt University, 2021
  9. Potent, p53-independent induction of NOXA sensitizes MLL-rearranged B-cell ALL cells to venetoclax — Medical University of Warsaw, 2022
  10. 225Ac-labeled CD33-targeting antibody reverses resistance to venetoclax in AML models — University of Saskatchewan, 2020
  11. 225Ac-labeled CD33-targeting antibody reverses resistance to venetoclax in AML models — Actinium Pharmaceuticals Inc., 2020
  12. AXL/MERTK inhibitor ONO-7475 potently synergizes with venetoclax and overcomes venetoclax resistance in FLT3-ITD AML — MD Anderson Cancer Center, 2021
  13. Targeting MCL-1 sensitizes FLT3-ITD-positive leukemias to cytotoxic therapies — University of Magdeburg, 2012
  14. Loss in MCL-1 function sensitizes non-Hodgkin’s lymphoma cell lines to venetoclax (ABT-199) — AbbVie Inc., 2015
  15. A new efficacious Mcl-1 inhibitor maximizes bortezomib and venetoclax responsiveness in resistant multiple myeloma cells — Cooper Health University, 2023
  16. Inhibition of casein kinase 2 sensitizes mantle cell lymphoma to venetoclax through MCL-1 downregulation — Cancer Center Amsterdam, 2022
  17. WIPO — World Intellectual Property Organization: Global Patent Database
  18. NIH National Institutes of Health — Hematologic Malignancies Research Resources
  19. NCI National Cancer Institute — Transcriptional CDK Inhibitors in Lymphoma
  20. ASCO — American Society of Clinical Oncology: TP53 Mutations in Relapsed Hematologic Malignancies
  21. FDA — Biomarker Guidance for Oncology Drug Development

All data and statistics in this article are sourced from the references above and from PatSnap‘s proprietary innovation intelligence platform. This article is derived from a limited set of patent and literature records retrieved across targeted searches and represents a snapshot of innovation signals within that dataset only — it should not be interpreted as a comprehensive view of the full field, clinical pipeline, or regulatory landscape.

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