Skip to main content
  • AACR Publications
    • Blood Cancer Discovery
    • Cancer Discovery
    • Cancer Epidemiology, Biomarkers & Prevention
    • Cancer Immunology Research
    • Cancer Prevention Research
    • Cancer Research
    • Clinical Cancer Research
    • Molecular Cancer Research
    • Molecular Cancer Therapeutics

AACR logo

  • Register
  • Log in
  • My Cart
Advertisement

Main menu

  • Home
  • About
    • The Journal
    • AACR Journals
    • Journal Sections
    • Subscriptions
    • Reviewing
    • Permissions and Reprints
  • Articles
    • OnlineFirst
    • Current Issue
    • Past Issues
    • Collections
      • COVID-19 & Cancer Resource Center
      • Clinical Trials
      • Immuno-oncology
      • Editors' Picks
      • "Best of" Collection
  • For Authors
    • Information for Authors
    • Author Services
    • Best of: Author Profiles
    • Submit
  • Alerts
    • Table of Contents
    • Editors' Picks
    • OnlineFirst
    • Citation
    • Author/Keyword
    • RSS Feeds
    • My Alert Summary & Preferences
  • News
    • Cancer Discovery News
    • Journal Press Releases
  • COVID-19
  • Webinars
  • 10th Anniversary
  • Search More

    Advanced Search

  • AACR Publications
    • Blood Cancer Discovery
    • Cancer Discovery
    • Cancer Epidemiology, Biomarkers & Prevention
    • Cancer Immunology Research
    • Cancer Prevention Research
    • Cancer Research
    • Clinical Cancer Research
    • Molecular Cancer Research
    • Molecular Cancer Therapeutics

User menu

  • Register
  • Log in
  • My Cart

Search

  • Advanced search
Cancer Discovery
Cancer Discovery
  • Home
  • About
    • The Journal
    • AACR Journals
    • Journal Sections
    • Subscriptions
    • Reviewing
    • Permissions and Reprints
  • Articles
    • OnlineFirst
    • Current Issue
    • Past Issues
    • Collections
      • COVID-19 & Cancer Resource Center
      • Clinical Trials
      • Immuno-oncology
      • Editors' Picks
      • "Best of" Collection
  • For Authors
    • Information for Authors
    • Author Services
    • Best of: Author Profiles
    • Submit
  • Alerts
    • Table of Contents
    • Editors' Picks
    • OnlineFirst
    • Citation
    • Author/Keyword
    • RSS Feeds
    • My Alert Summary & Preferences
  • News
    • Cancer Discovery News
    • Journal Press Releases
  • COVID-19
  • Webinars
  • 10th Anniversary
  • Search More

    Advanced Search

Research Articles

A Novel MCL1 Inhibitor Combined with Venetoclax Rescues Venetoclax-Resistant Acute Myelogenous Leukemia

Haley E. Ramsey, Melissa A. Fischer, Taekyu Lee, Agnieszka E. Gorska, Maria Pia Arrate, Londa Fuller, Kelli L. Boyd, Stephen A. Strickland, John Sensintaffar, Leah J. Hogdal, Gregory D. Ayers, Edward T. Olejniczak, Stephen W. Fesik and Michael R. Savona
Haley E. Ramsey
1Department of Internal Medicine, Vanderbilt University School of Medicine, Nashville, Tennessee.
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
Melissa A. Fischer
1Department of Internal Medicine, Vanderbilt University School of Medicine, Nashville, Tennessee.
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
  • ORCID record for Melissa A. Fischer
Taekyu Lee
2Department of Biochemistry, Vanderbilt University School of Medicine, Nashville, Tennessee.
3Vanderbilt Institute for Chemical Biology, Vanderbilt University, Nashville, Tennessee.
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
Agnieszka E. Gorska
1Department of Internal Medicine, Vanderbilt University School of Medicine, Nashville, Tennessee.
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
Maria Pia Arrate
1Department of Internal Medicine, Vanderbilt University School of Medicine, Nashville, Tennessee.
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
Londa Fuller
1Department of Internal Medicine, Vanderbilt University School of Medicine, Nashville, Tennessee.
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
Kelli L. Boyd
4Department of Pathology, Microbiology and Immunology, Vanderbilt University School of Medicine, Nashville, Tennessee.
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
Stephen A. Strickland
1Department of Internal Medicine, Vanderbilt University School of Medicine, Nashville, Tennessee.
5Vanderbilt-Ingram Cancer Center, Nashville, Tennessee.
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
John Sensintaffar
2Department of Biochemistry, Vanderbilt University School of Medicine, Nashville, Tennessee.
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
Leah J. Hogdal
2Department of Biochemistry, Vanderbilt University School of Medicine, Nashville, Tennessee.
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
Gregory D. Ayers
5Vanderbilt-Ingram Cancer Center, Nashville, Tennessee.
6Department of Biostatistics, Vanderbilt University School of Medicine, Nashville, Tennessee.
7Vanderbilt Center for Quantitative Sciences, Vanderbilt University, Nashville, Tennessee.
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
Edward T. Olejniczak
2Department of Biochemistry, Vanderbilt University School of Medicine, Nashville, Tennessee.
3Vanderbilt Institute for Chemical Biology, Vanderbilt University, Nashville, Tennessee.
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
Stephen W. Fesik
2Department of Biochemistry, Vanderbilt University School of Medicine, Nashville, Tennessee.
3Vanderbilt Institute for Chemical Biology, Vanderbilt University, Nashville, Tennessee.
5Vanderbilt-Ingram Cancer Center, Nashville, Tennessee.
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
Michael R. Savona
1Department of Internal Medicine, Vanderbilt University School of Medicine, Nashville, Tennessee.
5Vanderbilt-Ingram Cancer Center, Nashville, Tennessee.
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
  • ORCID record for Michael R. Savona
  • For correspondence: michael.savona@vanderbilt.edu
DOI: 10.1158/2159-8290.CD-18-0140 Published December 2018
  • Article
  • Figures & Data
  • Info & Metrics
  • PDF
Loading

Article Figures & Data

Figures

  • Additional Files
  • Figure 1.
    • Download figure
    • Open in new tab
    • Download powerpoint
    Figure 1.

    VU661013 blocks expansion of AML cell lines in vitro. A, The chemical structure of VU661013. B, Measurement of growth sensitivity to inhibition of MCL1 with VU661013 in several cell lines, C, with resistance in some lines (mean ± SEM). D, AML cell lines were subjected to inhibition of MCL1 (VU661013), BCL2/BCL-xL/BCL-w [navitoclax (NAV)], BCL2 (venetoclax), or BCL-xL (A1155463), and GI50 at 48 hours was calculated. Cell lines with GI50 values above 10 μmol/L are listed as >10 μmol/L as a specific value is unknown above our maximum concentration tested. E, Western blot analysis of AML cell lines reveals a wide variation in the protein content of BCL2 family members. F and G, Correlation of MCL1 protein content to growth inhibition in response to VU661013 treatment.

  • Figure 2.
    • Download figure
    • Open in new tab
    • Download powerpoint
    Figure 2.

    Inhibition of MCL1 reduces AML in an in vivo murine model. A, NSGS mice were engrafted with MV-4-11 human leukemia cells and were then treated with either vehicle (n = 6) or 10 (n = 5), 25 (n = 5), or 75 (n = 5) mg/kg of VU661013. Peripheral blood, bone marrow (BM), and spleen (SPL) were harvested for tricompartmental chimerism analysis. A nonparametric, unpaired, two-tailed t test was used to calculate significance. B, IHC of femurs and spleen (20×) stained with monoclonal antibody for hCD45 reveal AML cells left within the bone marrow and spleen of experimental mice at each dose level. C, Ratio of spleen to total body weight measurements from above-mentioned experiments. D, Kaplan–Meier analysis. Statistical significance was calculated using log-rank (Mantel–Cox) test (P = 0.001; n = 5 per arm).

  • Figure 3.
    • Download figure
    • Open in new tab
    • Download powerpoint
    Figure 3.

    BH3-targeted inhibitors drive specific resistance in human cell lines, which can be overcome with alternating or combining inhibitors. A, Human MV-4-11 cells were isolated from the bone marrow of premorbid vehicle-treated mice at D28, and VU661013-treated mice at D42 and were tested ex vivo with VU661013 (mean ± SEM; n = 3). B, Naïve MV-4-11 cells (parent) and cells made resistant to VU661013 (VU661013-resistant) or venetoclax (VEN-resistant) were tested in growth inhibition assays with VEN and (C) VU661013 treatment. D, VU661013-resistant MV-4-11 cells treated with VU661013, VEN, or a combination of VU661013 and VEN, concentrations of each compound (Cmpd) are noted on the x-axis; E, VEN-resistant MV-4-11 cells treated with VU661013, VEN, or a combination of VU661013 and VEN, concentrations of each compound (Cmpd) are noted on the x-axis. For B–E, data shown as mean ± SEM (n = 3). F, The combination of VEN and VU661013 in vivo resulted in a survival benefit in an MV-4-11 AML model mice via Kaplan–Meier analysis. Statistical significance was calculated using log-rank (Mantel–Cox) test (P < 0.001; n = 5 per arm). G, The combination of VEN and VU661013 in vivo significantly decreased tumor burden in an MOLM-13 AML xenograft. Per arm vehicle (n = 7), VEN (n = 9), VU661013 (n = 6), and VU661013/VEN (n = 8). A nonparametric, unpaired, two-tailed t test was used to calculate significance. Data are combined from two independent experiments. H, IHC of bone marrow (femur) and spleen (20×), stained with monoclonal antibody for hCD45 in experimental mice. Scale bars, 50 μm.

  • Figure 4.
    • Download figure
    • Open in new tab
    • Download powerpoint
    Figure 4.

    A, Human UCB-derived CD34+ cells were transplanted in NSGS mice. After confirmation of chimerism with notation of hCD45+ cells in the peripheral blood at 2 weeks, mice were treated with vehicle, 30 mg/kg VEN, 75 mg/kg VU661013, or VEN 15 mg/kg and 75 mg/kg VU661013 in combination. Mice were sacrificed at D42, and chimerism in bone marrow was assessed. Human chimerism is measured by hCD45+. Progenitor cells are noted by hCD34+, and human hematopoietic stem cell–enriched cells are noted by hCD34+CD38−. Per arm: vehicle (n = 3), VEN (n = 2), VU661013 (n = 3), and VU661013/VEN (n = 3). Data, mean ± SEM. B, hCD34+ cells from three normal bone marrow samples were treated for 48 hours in vitro with VEN or VU661013 (mean ± SEM; n = 3).

  • Figure 5.
    • Download figure
    • Open in new tab
    • Download powerpoint
    Figure 5.

    BH3 profiling supports in vitro findings of specific BCL2 family inhibitor sensitivities. A, BH3 profiling was used with BIM, MS1, and HRK peptides, as well as navitoclax (NAV) and VEN to define the apoptotic priming of AML cell lines (mean ± SEM). B, BH3 profiling using MS1 correlated with GI50 sensitivity to VU661013 lines (mean ± SEM). C, BH3 profiling of MV-4-11 cells (parent) and engineered MV-4-11 cell lines resistant to VU661013 (VU0661013res) or VEN (VENres).

  • Figure 6.
    • Download figure
    • Open in new tab
    • Download powerpoint
    Figure 6.

    BH3 profiling of patient samples and improvement in disease control with combination therapy in a PDX model. A, AML patient samples analyzed using BH3 profiling were then (B and C) treated with dose titrations of VEN and VU661013 (mean ± SEM). D, Coimmunoprecipitation (IP) experiment of patient samples AML 001 and AML 002 illustrate that AML 001 predominantly expressed high levels of BCL2, and AML 002 expressed high levels of MCL1 [input samples; immunoblot (IB)]. The BCL2 from the AML 001 patient sample and the MCL1 from AML 002 were dimerized with BIM. In patient sample AML 002, BCL2 and BCL-xL are also associated with BIM to a lesser degree. E, Samples from patients with AML who later failed VEN + LDAC treatment. Overall viability after VU661013/VEN treatment showed significant decreases in viability. F, After early during treatment (24 hours), blast cells from these samples began to undergo apoptosis with decreases in viability shown by Annexin V/PI staining. G, Comparison of pretreatment and posttreatment sensitivity to VU661013 + VEN combination therapy in samples from patients with AML who were treated with VEN + LDAC and relapsed. For E–G, individual patients are represented by shapes; in G, relative viability after ex vivo exposure to VU661013 + VEN in samples taken from patients prior to therapy and after therapy with VEN + LDAC in the clinic is noted; P = n.s. H, In patient-derived xenografts, VEN and VU661013 were given concomitantly at low doses with bone marrow harvested at day 42. For AML 001 [vehicle (n = 4), VEN (n = 4), VUO661013 (n = 5), and VU661013/VEN (n = 3)], there was no significant difference between treatments. For AML 002 [vehicle (n = 6), VEN 15 (n = 6), VUO661013 (n = 5), and VU661013/VEN (n = 4)], VU661013/VEN combination treatments led to reduction in engrafted human leukemia (mean ± SEM). A nonparametric, unpaired, two-tailed t test was used to calculate significance. I, Posttreatment, reduction of human leukemia was noted through IHC staining of bone marrow for hCD45 in MCL1-dependent AML 002 (20×).

  • Figure 7.
    • Download figure
    • Open in new tab
    • Download powerpoint
    Figure 7.

    MCL1 and BCL2 inhibitors (inh) in the treatment of AML. Although antiapoptotic dependence is heterogeneous across patients and intrapatient with AML, individual patients may have greater MCL1 or BCL2 antiapoptotic dependence at diagnosis, and this may be interrogated to guide initial treatment. Resistance to BH3 mimetics may arise from upregulation of another antiapoptotic protein family member, and a patient may switch selective BH3 mimetic at that time. A, In some patients, this sequential targeting of antiapoptotic family members (with or without chemotherapy priming agent) may continue to provide disease remissions and clinical benefit. This may occur in a tumor that is initially MCL1 dependent. B, Or initially BCL2-dependent AML. C, Combination therapy with MCL1 inhibition and BCL2 inhibition at diagnosis has not been tested in patients, but may be tolerable and lead to tumor involution by targeting two important antiapoptotic proteins heterogeneously upregulated in AML.

Additional Files

  • Figures
  • Supplementary Data

    • Supplementary Figures and Table - Supplementary figures and table
PreviousNext
Back to top
Cancer Discovery: 8 (12)
December 2018
Volume 8, Issue 12
  • Table of Contents
  • Table of Contents (PDF)
  • About the Cover
  • Editorial Board (PDF)

Sign up for alerts

View this article with LENS

Open full page PDF
Article Alerts
Sign In to Email Alerts with your Email Address
Email Article

Thank you for sharing this Cancer Discovery article.

NOTE: We request your email address only to inform the recipient that it was you who recommended this article, and that it is not junk mail. We do not retain these email addresses.

Enter multiple addresses on separate lines or separate them with commas.
A Novel MCL1 Inhibitor Combined with Venetoclax Rescues Venetoclax-Resistant Acute Myelogenous Leukemia
(Your Name) has forwarded a page to you from Cancer Discovery
(Your Name) thought you would be interested in this article in Cancer Discovery.
CAPTCHA
This question is for testing whether or not you are a human visitor and to prevent automated spam submissions.
Citation Tools
A Novel MCL1 Inhibitor Combined with Venetoclax Rescues Venetoclax-Resistant Acute Myelogenous Leukemia
Haley E. Ramsey, Melissa A. Fischer, Taekyu Lee, Agnieszka E. Gorska, Maria Pia Arrate, Londa Fuller, Kelli L. Boyd, Stephen A. Strickland, John Sensintaffar, Leah J. Hogdal, Gregory D. Ayers, Edward T. Olejniczak, Stephen W. Fesik and Michael R. Savona
Cancer Discov December 1 2018 (8) (12) 1566-1581; DOI: 10.1158/2159-8290.CD-18-0140

Citation Manager Formats

  • BibTeX
  • Bookends
  • EasyBib
  • EndNote (tagged)
  • EndNote 8 (xml)
  • Medlars
  • Mendeley
  • Papers
  • RefWorks Tagged
  • Ref Manager
  • RIS
  • Zotero
Share
A Novel MCL1 Inhibitor Combined with Venetoclax Rescues Venetoclax-Resistant Acute Myelogenous Leukemia
Haley E. Ramsey, Melissa A. Fischer, Taekyu Lee, Agnieszka E. Gorska, Maria Pia Arrate, Londa Fuller, Kelli L. Boyd, Stephen A. Strickland, John Sensintaffar, Leah J. Hogdal, Gregory D. Ayers, Edward T. Olejniczak, Stephen W. Fesik and Michael R. Savona
Cancer Discov December 1 2018 (8) (12) 1566-1581; DOI: 10.1158/2159-8290.CD-18-0140
del.icio.us logo Digg logo Reddit logo Twitter logo CiteULike logo Facebook logo Google logo Mendeley logo
  • Tweet Widget
  • Facebook Like
  • Google Plus One

Jump to section

  • Article
    • Abstract
    • Introduction
    • Results
    • Discussion
    • Methods
    • Disclosure of Potential Conflicts of Interest
    • Authors' Contributions
    • Acknowledgments
    • Footnotes
    • References
  • Figures & Data
  • Info & Metrics
  • PDF
Advertisement

Related Articles

Cited By...

More in this TOC Section

  • SREBP-Transferrin Regulatory Network in Melanoma CTCs
  • Machine-Learning Approach Predicts Hippo Pathway Dependency
  • Type II RAFi and MEKi to Treat MAPK-Addicted Cancers
Show more Research Articles
  • Home
  • Alerts
  • Feedback
  • Privacy Policy
Facebook   Twitter   LinkedIn   YouTube   RSS

Articles

  • OnlineFirst
  • Current Issue
  • Past Issues

Info For

  • Authors
  • Subscribers
  • Advertisers
  • Librarians

About Cancer Discovery

  • About the Journal
  • Editors
  • Journal Sections
  • Permissions
  • Submit a Manuscript
AACR logo

Copyright © 2021 by the American Association for Cancer Research.

Cancer Discovery
eISSN: 2159-8290
ISSN: 2159-8274

Advertisement