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


Journal

Blood advances
ISSN: 2473-9537
Titre abrégé: Blood Adv
Pays: United States
ID NLM: 101698425

Informations de publication

Date de publication:
06 Mar 2024
Historique:
accepted: 15 02 2024
received: 13 11 2023
revised: 17 01 2024
medline: 6 3 2024
pubmed: 6 3 2024
entrez: 6 3 2024
Statut: aheadofprint

Résumé

Advancements in genomics are transforming the clinical management of chronic myeloid leukemia (CML) towards precision medicine. The impact of somatic mutations on treatment outcomes is still under debate. We studied the association of somatic mutations in epigenetic modifiers genes and activated signaling/myeloid transcription factor (AS/MTF), with disease progression and treatment failure in CML patients following 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%. 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 not clear for patients treated with second-generation TKIs (2G-TKI). The multivariate analysis affirmed that mutations in AS/MTF genes independently serve as adverse prognostic factors for molecular response, failure-free survival (FFS), and progression risk. Additionally, there was an observable non-significant trend indicating a heightened risk of progression to advanced disease and worse overall survival (OS). 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.

Identifiants

pubmed: 38447114
pii: 515202
doi: 10.1182/bloodadvances.2023012127
pii:
doi:

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Informations de copyright

Copyright © 2024 American Society of Hematology.

Auteurs

Maria Agustina Perusini (MA)

Princess Margaret Cancer Centre, Toronto, Canada.

Daniela Zackova (D)

University Hospital Brno, Brno, Czech Republic.

TaeHyung Kim (T)

Princess Margaret Cancer Centre, United States.

Katia B B Pagnano (KBB)

Universidade Estadual de Campinas (UNICAMP), Campinas, Brazil.

Carolina Pavlovsky (C)

FUNDALEU, Buenos Aires, Argentina.

Ivana Jeziskova (I)

University Hospital Brno, Brno, Czech Republic.

Anežka Kvetková (A)

University Hospital Brno, Brno, Czech Republic.

Tomas Jurcek (T)

Masaryk University and University Hospital Brno, Brno, Czech Republic.

Jaeyoon John Kim (JJ)

Princess Margaret Cancer Centre, Toronto, Ontario, Canada.

Young Seok Yoo (YS)

Princess Margaret Cancer Centre, Toronto, Canada.

Seongyoon Yi (S)

Princess Margaret Cancer Centre, Korea, Republic of.

Hyewon Lee (H)

Princess Margaret Cancer Centre, Toronto, Canada.

Kyoung Ha Kim (KH)

Princess Margaret Cancer Centre, Korea, Republic of.

Myunghee Chang (M)

Princess Margaret Cancer Centre, Korea, Republic of.

Jose-Mario Capo-Chichi (JM)

Department of Pathology, Toronto General Hospital, University Health Network, Toronto, ON, Canada.

Jessie Medeiros (J)

Ontario Institute for Cancer Research, Canada.

Andrea Arruda (A)

Princess Margaret Cancer, Toronto, Canada.

Mark D Minden (MD)

Princess Margaret Cancer Centre, Toronto, Ontario, Canada.

Zhaolei Zhang (Z)

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

Sagi Abelson (S)

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

Jiri Mayer (J)

University Hospital Brno.

Dennis Dong Hwan Kim (DDH)

Princess Margaret Hospital, Toronto, Canada.

Classifications MeSH