Mutations in myeloid transcription factors and activated signaling genes predict chronic myeloid leukemia outcomes

Author:

Perusini Maria Agustina1,Žáčková Daniela2ORCID,Kim Taehyung34,Pagnano Katia5ORCID,Pavlovsky Carolina6,Ježíšková Ivana2ORCID,Kvetková Anežka2,Jurček Tomáš2,Kim Jaeyoon1,Yoo Youngseok1,Yi Seongyoon17,Lee Hyewon18,Kim Kyoung Ha19,Chang Myunghee110,Capo-Chichi Jose-Mario11ORCID,Medeiros Jessie J. F.1213ORCID,Arruda Andrea114,Minden Mark11415ORCID,Zhang Zhaolei41316,Abelson Sagi1213ORCID,Mayer Jiri2,Hwan Kim Dennis Dong115

Affiliation:

1. 1Division of Medical Oncology and Hematology, Princess Margaret Cancer Centre, Toronto, ON, Canada

2. 2Department of Internal Medicine, Hematology and Oncology, University Hospital Brno and Masaryk University, Brno, Czech Republic

3. 3Department of Computer Science, University of Toronto, Toronto, ON, Canada

4. 4The Donnelly Centre for Cellular and Biomolecular Research, Donnelly Centre For Cellular & Biomolecular Research, Toronto, ON, Canada

5. 5Hematology and Hemotherapy Center, University of Campinas, Campinas, Brazil

6. 6Fundaleu, Buenos Aires, Argentina

7. 7Department of Internal Medicine, Inje University Ilsan-Paik Hospital, Goyang, Republic of Korea

8. 8Department of Internal Medicine, Center for Hematologic Malignancies, National Cancer Center, Goyang, Republic of Korea

9. 9Division of Hematology and Oncology, Department of Internal Medicine, Soon Chun Hyang University Seoul Hospital, Seoul, Republic of Korea

10. 10National Health Insurance Service Ilsan Hospital, Ilsan, Republic of Korea

11. 11Genome Diagnostics & Cancer Cytogenetics Laboratories, Department of Laboratory Medicine and Pathobiology, Faculty of Medicine, University of Toronto, Toronto, Canada

12. 12Ontario Institute for Cancer Research, Toronto, ON, Canada

13. 13Department of Molecular Genetics, University of Toronto, Toronto, ON, Canada

14. 14Malignant Hematology Tissue Bank, Princess Margaret Cancer Centre, Toronto, ON, Canada

15. 15Faculty of Medicine, University of Toronto, Toronto, ON, Canada

16. 16Department of Computer Science, University of Toronto, Toronto, ON, Canada

Abstract

Abstract Advancements in genomics are transforming the clinical management of chronic myeloid leukemia (CML) toward precision medicine. The impact of somatic mutations on treatment outcomes is still under debate. We studied the association of somatic mutations in epigenetic modifier genes and activated signaling/myeloid transcription factors (AS/MTFs) with disease progression and treatment failure in patients with CML after tyrosine kinase inhibitor (TKI) therapy. A total of 394 CML samples were sequenced, including 254 samples collected at initial diagnosis and 140 samples taken during follow-up. Single-molecule molecular inversion probe (smMIP)–based next-generation sequencing (NGS) was conducted targeting recurrently mutated loci in 40 genes, with a limit of detection of 0.2%. Seventy mutations were detected in 57 diagnostic samples (22.4%), whereas 64 mutations were detected in 39 of the follow-up samples (27.9%). Carrying any mutation at initial diagnosis was associated with worse outcomes after TKI therapy, particularly in AS/MTF genes. Patients having these mutations at initial diagnosis and treated with imatinib showed higher risks of treatment failure (hazard ratio, 2.53; 95% confidence interval, 1.13-5.66; P = .0239). The adverse prognostic impact of the mutations was not clear for patients treated with second-generation TKIs. The multivariate analysis affirmed that mutations in AS/MTF genes independently serve as adverse prognostic factors for molecular response, failure-free survival, and progression risk. Additionally, there was an observable nonsignificant trend indicating a heightened risk of progression to advanced disease and worse overall survival. In conclusion, mutations in the AS/MTF genes using smMIP-based NGS can help identify patients with a potential risk of both treatment failure and progression and may help upfront TKI selection.

Publisher

American Society of Hematology

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