Literature DB >> 34789538

Implementing a Functional Precision Medicine Tumor Board for Acute Myeloid Leukemia.

Tero Aittokallio1,2, Krister Wennerberg1,3, Caroline A Heckman1,4, Olli Kallioniemi5,4,6, Kimmo Porkka7,4, Disha Malani1, Ashwini Kumar1, Oscar Brück8,9,4, Mika Kontro1,8, Bhagwan Yadav1,8, Monica Hellesøy10,11, Heikki Kuusanmäki1,3, Olli Dufva8,9, Matti Kankainen1,8,9,4, Samuli Eldfors1,12, Swapnil Potdar1, Jani Saarela1, Laura Turunen1, Alun Parsons1, Imre Västrik1, Katja Kivinen1, Janna Saarela1,13, Riikka Räty8, Minna Lehto8, Maija Wolf1, Bjorn Tore Gjertsen10,11, Satu Mustjoki8,9,4.   

Abstract

We generated ex vivo drug-response and multiomics profiling data for a prospective series of 252 samples from 186 patients with acute myeloid leukemia (AML). A functional precision medicine tumor board (FPMTB) integrated clinical, molecular, and functional data for application in clinical treatment decisions. Actionable drugs were found for 97% of patients with AML, and the recommendations were clinically implemented in 37 relapsed or refractory patients. We report a 59% objective response rate for the individually tailored therapies, including 13 complete responses, as well as bridging five patients with AML to allogeneic hematopoietic stem cell transplantation. Data integration across all cases enabled the identification of drug response biomarkers, such as the association of IL15 overexpression with resistance to FLT3 inhibitors. Integration of molecular profiling and large-scale drug response data across many patients will enable continuous improvement of the FPMTB recommendations, providing a paradigm for individualized implementation of functional precision cancer medicine. SIGNIFICANCE: Oncogenomics data can guide clinical treatment decisions, but often such data are neither actionable nor predictive. Functional ex vivo drug testing contributes significant additional, clinically actionable therapeutic insights for individual patients with AML. Such data can be generated in four days, enabling rapid translation through FPMTB.See related commentary by Letai, p. 290.This article is highlighted in the In This Issue feature, p. 275. ©2021 The Authors; Published by the American Association for Cancer Research.

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Year:  2021        PMID: 34789538     DOI: 10.1158/2159-8290.CD-21-0410

Source DB:  PubMed          Journal:  Cancer Discov        ISSN: 2159-8274            Impact factor:   39.397


  8 in total

Review 1.  Mapping the genomic diaspora of gastric cancer.

Authors:  Khay Guan Yeoh; Patrick Tan
Journal:  Nat Rev Cancer       Date:  2021-10-26       Impact factor: 60.716

2.  Integrative analysis of drug response and clinical outcome in acute myeloid leukemia.

Authors:  Daniel Bottomly; Nicola Long; Anna Reister Schultz; Stephen E Kurtz; Cristina E Tognon; Kara Johnson; Melissa Abel; Anupriya Agarwal; Sammantha Avaylon; Erik Benton; Aurora Blucher; Uma Borate; Theodore P Braun; Jordana Brown; Jade Bryant; Russell Burke; Amy Carlos; Bill H Chang; Hyun Jun Cho; Stephen Christy; Cody Coblentz; Aaron M Cohen; Amanda d'Almeida; Rachel Cook; Alexey Danilov; Kim-Hien T Dao; Michie Degnin; James Dibb; Christopher A Eide; Isabel English; Stuart Hagler; Heath Harrelson; Rachel Henson; Hibery Ho; Sunil K Joshi; Brian Junio; Andy Kaempf; Yoko Kosaka; Ted Laderas; Matt Lawhead; Hyunjung Lee; Jessica T Leonard; Chenwei Lin; Evan F Lind; Selina Qiuying Liu; Pierrette Lo; Marc M Loriaux; Samuel Luty; Julia E Maxson; Tara Macey; Jacqueline Martinez; Jessica Minnier; Andrea Monteblanco; Motomi Mori; Quinlan Morrow; Dylan Nelson; Justin Ramsdill; Angela Rofelty; Alexandra Rogers; Kyle A Romine; Peter Ryabinin; Jennifer N Saultz; David A Sampson; Samantha L Savage; Robert Schuff; Robert Searles; Rebecca L Smith; Stephen E Spurgeon; Tyler Sweeney; Ronan T Swords; Aashis Thapa; Karina Thiel-Klare; Elie Traer; Jake Wagner; Beth Wilmot; Joelle Wolf; Guanming Wu; Amy Yates; Haijiao Zhang; Christopher R Cogle; Robert H Collins; Michael W Deininger; Christopher S Hourigan; Craig T Jordan; Tara L Lin; Micaela E Martinez; Rachel R Pallapati; Daniel A Pollyea; Anthony D Pomicter; Justin M Watts; Scott J Weir; Brian J Druker; Shannon K McWeeney; Jeffrey W Tyner
Journal:  Cancer Cell       Date:  2022-07-21       Impact factor: 38.585

3.  Functional Precision Medicine: Putting Drugs on Patient Cancer Cells and Seeing What Happens.

Authors:  Anthony Letai
Journal:  Cancer Discov       Date:  2022-02       Impact factor: 38.272

Review 4.  Functional precision oncology: Testing tumors with drugs to identify vulnerabilities and novel combinations.

Authors:  Anthony Letai; Patrick Bhola; Alana L Welm
Journal:  Cancer Cell       Date:  2021-12-23       Impact factor: 31.743

5.  Targeting Apoptosis Pathways With BCL2 and MDM2 Inhibitors in Adult B-cell Acute Lymphoblastic Leukemia.

Authors:  Helena Hohtari; Matti Kankainen; Shady Adnan-Awad; Bhagwan Yadav; Swapnil Potdar; Aleksandr Ianevski; Olli Dufva; Caroline Heckman; Veronika Sexl; Soili Kytölä; Satu Mustjoki; Kimmo Porkka
Journal:  Hemasphere       Date:  2022-02-24

6.  Bipartite network models to design combination therapies in acute myeloid leukaemia.

Authors:  Mohieddin Jafari; Mehdi Mirzaie; Jie Bao; Farnaz Barneh; Shuyu Zheng; Johanna Eriksson; Caroline A Heckman; Jing Tang
Journal:  Nat Commun       Date:  2022-04-19       Impact factor: 17.694

Review 7.  Application of precision medicine in clinical routine in haematology-Challenges and opportunities.

Authors:  Tove Wästerlid; Lucia Cavelier; Claudia Haferlach; Marina Konopleva; Stefan Fröhling; Päivi Östling; Lars Bullinger; Thoas Fioretos; Karin E Smedby
Journal:  J Intern Med       Date:  2022-06-04       Impact factor: 13.068

8.  Explainable artificial intelligence for precision medicine in acute myeloid leukemia.

Authors:  Marian Gimeno; Edurne San José-Enériz; Sara Villar; Xabier Agirre; Felipe Prosper; Angel Rubio; Fernando Carazo
Journal:  Front Immunol       Date:  2022-09-29       Impact factor: 8.786

  8 in total

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