Somatic mutations in myeloid transcription factors and in activated signaling genes predict the risk of treatment failure and progression to advanced phase in chronic myeloid leukemia

Author:

Kim Dennis Dong Huan1,Perusini Maria Agustina2,Zackova Daniela3ORCID,Kim TaeHyung4,Pagnano Katia5,Pavlovsky Carolina6,Jeziskova Ivana7,Kvetková Anežka8,Jurcek Tomas3,Kim Jaeyoon9,Yoo Youngseok9,Yi Seongyoon10,Lee Hyewon11,Kim Kyoung Ha12,Chang Myung Hee13,Capo-Chichi Jose-Mario14,Medeiros Jessie14ORCID,Arruda Andrea15,Minden Mark14,Zhang Zhaolei4ORCID,Abelson Sagi16,Mayer Jiri8

Affiliation:

1. Princess Margaret Cancer Centre, University Health Network, University of Toronto

2. Princess Margaret Cancer Centre, University Health Network

3. Internal Hematology and Oncology Clinic, Faculty Hospital Brno and Faculty of Medicine, Masaryk University, Brno

4. University of Toronto

5. University of Campinas

6. Fundaleu

7. University hospital Brno

8. University Hospital Brno and Masaryk University Brno

9. Division of Medical Oncology and Hematology, Princess Margaret Cancer Centre

10. Department of Internal Medicine, Inje University Ilsan-Paik Hospital

11. National Cancer Center

12. Soonchunhyang University Seoul Hospital

13. National Health Insurance Service Ilsan Hospital

14. University Health Network

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

16. Department of Molecular Genetics, University of Toronto, Toronto, ON, Canada; Princess Margaret Cancer Centre, University Health Network

Abstract

Abstract Background Advancements in genomics are transforming the clinical management of chronic myeloid leukemia (CML) towards precision medicine. The impact of epigenetic modifier gene mutations on treatment outcomes is still under debate. Here we studied the association of somatic mutations in the genes of epigenetic modifiers and activated signaling/myeloid transcription factor (AS/MTF), with disease progression and treatment failure in CML patients following tyrosine kinase inhibitor (TKI) therapy. Patients and Methods: A total of 394 CML patient 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%. Results A total of 70 mutations were detected in 57 (22.4%) diagnostic samples, while 64 mutations were detected in 39 (27.9%) of the follow-up samples. Carrying any mutation at initial diagnosis was associated with worse outcomes following TKI therapy, particularly in AS/MTF genes. Patients having these mutations at initial diagnosis and treated with Imatinib showed higher risks of treatment failure (HR 2.53, 95% CI [1.13–5.66], p = 0.0239). The adverse prognostic impact of the mutations was abrogated when treated with second generation TKIs (2G-TKI). The multivariate analysis confirmed that mutation in AS/MF genes is an independent adverse prognostic factor for molecular response, failure-free survival (FFS), and progression risk. 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, even from initial diagnosis, and may help upfront TKI selection.

Publisher

Research Square Platform LLC

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