Daniel H Albert1, Neal C Goodwin2, Angela M Davies2, Jenny Rowe3, Gerold Feuer3, Michael Boyiadzis4, Kathleen A Dorritie4, Maria Mancini2, Regina Gandour-Edwards5, Brian A Jonas6, Gautam Borthakur7, Ibrahim Aldoss8, David A Rizzieri9, Olatoyosi Odenike10, Thomas Prebet11, Sanjana Singh12, Relja Popovic12, Y U Shen12, Keith F McDaniel12, Warren M Kati12, Dimple A Modi12, Monica Motwani12, Johannes E Wolff12, David J Frost12. 1. AbbVie, Inc., North Chicago, IL, U.S.A.; daniel.h.albert@abbvie.com. 2. Champions Oncology, Inc., Hackensack, NJ, U.S.A. 3. HuMurine Technologies, La Verne, CA, U.S.A. 4. University of Pittsburgh Medical Center, Hillman Cancer Center, Pittsburgh, PA, U.S.A. 5. Department of Pathology & Laboratory Medicine, UC Davis School of Medicine, Sacramento, CA, U.S.A. 6. University of California Davis School of Medicine, Sacramento, CA, U.S.A. 7. Department of Leukemia, The University of Texas MD Anderson, Houston, TX, U.S.A. 8. Department of Hematology and Hematopoietic Cell Transplantation, City of Hope, Duarte, CA, U.S.A. 9. Medical Oncology, Novant Health Cancer Institute, Charlotte, NC, U.S.A. 10. Section of Hematology/Oncology, The University of Chicago Medicine Comprehensive Cancer Center, Chicago, IL, U.S.A. 11. Section of Hematology, Department of Internal Medicine, Yale School of Medicine and Yale Cancer Center, New Haven, CT, U.S.A. 12. AbbVie, Inc., North Chicago, IL, U.S.A.
Abstract
BACKGROUND/AIM: The therapeutic potential of bromodomain and extra-terminal motif (BET) inhibitors in hematological cancers has been well established in preclinical and early-stage clinical trials, although as of yet, no BETtargeting agent has achieved approval. To add insight into potential response to mivebresib (ABBV-075), a broadspectrum BET inhibitor, co-clinical modeling of individual patient biopsies was conducted in the context of a Phase I trial in acute myeloid leukemia (AML). MATERIALS AND METHODS: Co-clinical modeling involves taking the patient's biopsy and implanting it in mice with limited passage so that it closely retains the original characteristics of the malignancy and allows comparisons of response between animal model and clinical data. Procedures were developed, initially with neonate NOD/Shi-scid-IL2rγnull (NOG) mice and then optimized with juvenile NOG-EXL as host mice, eventually resulting in a robust rate of engraftment (16 out of 26, 62%). RESULTS: Results from the co-clinical AML patient-derived xenograft (PDX) modeling (6 with >60% inhibition of bone marrow blasts) were consistent with the equivalent clinical data from patients receiving mivebresib in monotherapy, and in combination with venetoclax. The modeling system also demonstrated the activity of a novel BD2-selective BET inhibitor (ABBV-744) in the preclinical AML setting. Both agents were also highly effective in inhibiting blast counts in the spleen (10/10 and 5/6 models, respectively). CONCLUSION: These findings confirm the validity of the model system in the co-clinical setting, establish highly relevant in vivo models for the discovery of cancer therapy, and indicate the therapeutic value of BET inhibitors for AML and, potentially, myelofibrosis treatment.
BACKGROUND/AIM: The therapeutic potential of bromodomain and extra-terminal motif (BET) inhibitors in hematological cancers has been well established in preclinical and early-stage clinical trials, although as of yet, no BETtargeting agent has achieved approval. To add insight into potential response to mivebresib (ABBV-075), a broadspectrum BET inhibitor, co-clinical modeling of individual patient biopsies was conducted in the context of a Phase I trial in acute myeloid leukemia (AML). MATERIALS AND METHODS: Co-clinical modeling involves taking the patient's biopsy and implanting it in mice with limited passage so that it closely retains the original characteristics of the malignancy and allows comparisons of response between animal model and clinical data. Procedures were developed, initially with neonate NOD/Shi-scid-IL2rγnull (NOG) mice and then optimized with juvenile NOG-EXL as host mice, eventually resulting in a robust rate of engraftment (16 out of 26, 62%). RESULTS: Results from the co-clinical AML patient-derived xenograft (PDX) modeling (6 with >60% inhibition of bone marrow blasts) were consistent with the equivalent clinical data from patients receiving mivebresib in monotherapy, and in combination with venetoclax. The modeling system also demonstrated the activity of a novel BD2-selective BET inhibitor (ABBV-744) in the preclinical AML setting. Both agents were also highly effective in inhibiting blast counts in the spleen (10/10 and 5/6 models, respectively). CONCLUSION: These findings confirm the validity of the model system in the co-clinical setting, establish highly relevant in vivo models for the discovery of cancer therapy, and indicate the therapeutic value of BET inhibitors for AML and, potentially, myelofibrosis treatment.
Authors: Sarina A Piha-Paul; Jasgit C Sachdev; Minal Barve; Patricia LoRusso; Russell Szmulewitz; Sapna Pradyuman Patel; Primo N Lara; Xiaotian Chen; Beibei Hu; Kevin J Freise; Dimple Modi; Anjla Sood; Jessica E Hutti; Johannes Wolff; Bert H O'Neil Journal: Clin Cancer Res Date: 2019-08-16 Impact factor: 12.531
Authors: Jana M Ellegast; Philipp J Rauch; Larisa V Kovtonyuk; Rouven Müller; Ulrich Wagner; Yasuyuki Saito; Nicole Wildner-Verhey van Wijk; Christine Fritz; Anahita Rafiei; Veronika Lysenko; Ewa Dudkiewicz; Alexandre P Theocharides; Davide Soldini; Jeroen S Goede; Richard A Flavell; Markus G Manz Journal: Blood Date: 2016-08-31 Impact factor: 22.113
Authors: Xiaoyu Lin; Xiaoli Huang; Tamar Uziel; Paul Hessler; Daniel H Albert; Lisa A Roberts-Rapp; Keith F McDaniel; Warren M Kati; Yu Shen Journal: Mol Cancer Ther Date: 2016-11-30 Impact factor: 6.261
Authors: Mark Wunderlich; Benjamin Mizukawa; Fu-Sheng Chou; Christina Sexton; Mahesh Shrestha; Yogen Saunthararajah; James C Mulloy Journal: Blood Date: 2013-01-24 Impact factor: 22.113
Authors: Daniel J Pearce; David Taussig; Kazem Zibara; Lan-Lan Smith; Christopher M Ridler; Claude Preudhomme; Bryan D Young; Ama Z Rohatiner; T Andrew Lister; Dominique Bonnet Journal: Blood Date: 2005-10-18 Impact factor: 22.113
Authors: Ali Alqahtani; Khalil Choucair; Mushtaq Ashraf; Danae M Hammouda; Abduraham Alloghbi; Talal Khan; Neil Senzer; John Nemunaitis Journal: Future Sci OA Date: 2019-01-29
Authors: Lu Zhang; Tianyu Cai; Xiaoyu Lin; Xiaoli Huang; Mai H Bui; Joshua P Plotnik; Richard J Bellin; Emily J Faivre; Vinitha M Kuruvilla; Lloyd T Lam; Xin Lu; Zheng Zha; Weiguo Feng; Paul Hessler; Tamar Uziel; Qi Zhang; Antonio Cavazos; Lina Han; Debra C Ferguson; Gaurav Mehta; Sriram S Shanmugavelandy; Terrance J Magoc; Jenny Rowe; Neal C Goodwin; Kathleen A Dorritie; Michael Boyiadzis; Daniel H Albert; Keith F McDaniel; Warren M Kati; Marina Konopleva; Yu Shen Journal: Mol Cancer Ther Date: 2021-07-12 Impact factor: 6.261
Authors: Gautam Borthakur; Olatoyosi Odenike; Ibrahim Aldoss; David A Rizzieri; Thomas Prebet; Chris Chen; Relja Popovic; Dimple A Modi; Rujuta H Joshi; Johannes E Wolff; Brian A Jonas Journal: Cancer Date: 2021-05-02 Impact factor: 6.860