Impact of additional genetic abnormalities at diagnosis of chronic myeloid leukemia for first-line imatinib-treated patients receiving proactive treatment intervention

The BCR::ABL1 gene fusion initiates chronic myeloid leukemia (CML), however evidence has accumulated from studies of highly selected cohorts that variants in other cancer-related genes are associated with treatment failure. Nevertheless, the true incidence and impact of additional genetic abnormalit...

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Published inHaematologica (Roma) Vol. 108; no. 9; pp. 2380 - 2395
Main Authors Shanmuganathan, Naranie, Wadham, Carol, Shahrin, NurHezrin, Feng, Jinghua, Thomson, Daniel, Wang, Paul, Saunders, Verity, Kok, Chung Hoow, King, Rob M., Kenyon, Rosalie R., Lin, Ming, Pagani, Ilaria S., Ross, David M., Yong, Agnes S.M., Grigg, Andrew P., Mills, Anthony K., Schwarer, Anthony P., Braley, Jodi, Altamura, Haley, Yeung, David T., Scott, Hamish S., Schreiber, Andreas W., Hughes, Timothy P., Branford, Susan
Format Journal Article
LanguageEnglish
Published Italy Fondazione Ferrata Storti 01.09.2023
Ferrata Storti Foundation
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ISSN0390-6078
1592-8721
1592-8721
DOI10.3324/haematol.2022.282184

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Summary:The BCR::ABL1 gene fusion initiates chronic myeloid leukemia (CML), however evidence has accumulated from studies of highly selected cohorts that variants in other cancer-related genes are associated with treatment failure. Nevertheless, the true incidence and impact of additional genetic abnormalities (AGAs) at diagnosis of chronic phase (CP)-CML is unknown. We sought to determine whether AGAs at diagnosis in a consecutive imatinib-treated cohort of 210 patients enrolled in the TIDEL-II trial influenced outcome despite a highly proactive treatment intervention strategy. Survival outcomes including overall survival, progression-free survival, failure-free survival and BCR::ABL1 kinase domain mutation acquisition were evaluated. Molecular outcomes were measured at a central laboratory and included major molecular response (MMR, BCR::ABL1 ≤0.1%IS), MR4 (BCR::ABL1 ≤0.01%IS) and MR4.5 (BCR::ABL1 ≤0.0032%IS). AGAs included variants in known cancer genes and novel rearrangements involving the formation of the Philadelphia chromosome. Clinical outcomes and molecular response were assessed based on the genetic profile and other baseline factors. AGAs were identified in 31% of patients. Potentially pathogenic variants in cancer-related genes were detected in 16% of patients at diagnosis (including gene fusions and deletions) and structural rearrangements involving the Philadelphia chromosome (Ph-associated rearrangements), detected in 18%. Multivariable analysis demonstrated that the combined genetic abnormalities plus the ELTS clinical risk score were independent predictors of lower molecular response rates and higher treatment failure. Despite a highly proactive treatment intervention strategy, first-line imatinib-treated patients with AGAs had poorer response rates. This data provides evidence for the incorporation of genomically-based risk assessment for CML.
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De-identified participant data collected for our study can be made available to researchers once appropriate ethical approval and a signed data access agreement is obtained.
NS collected and analyzed the data, and wrote the paper. CW designed the probes for the RNA capture panel, prepared samples, and analyzed the data. NHS, VS, RRK, ML, JB and HA prepared samples and completed the required laboratory work. AWS, JF, PW, DT and CHK performed the bioinformatic analysis and pipeline development. IP, ASY, RMK, DMR, AKM, APS, APG, DTY and HS reviewed the manuscript. DTY, APG and TPH designed and conducted the TIDEL II trial and co-ordinated the correlative studies. TPH contributed key concepts and assisted in writing the paper. SB designed the research, analyzed the data, contributed key concepts and methodology, and assisted in writing the manuscript.
NS received honoraria from Novartis and meeting sponsorship from Novartis, Amgen, and Janssen. SB is a member of the advisory boards of Qiagen, Novartis and Cepheid, and received honoraria from Qiagen, Novartis, Bristol-Myers Squibb, Incyte and Cepheid, and research funding from Novartis and Cepheid. ASY is a member of the advisory board for Novartis, and received research funding from Novartis, Bristol-Myers Squibb and Celgene, and honoraria from Novartis and Bristol-Myers Squibb. AKM is a member of the advisory boards of Sobi and Novartis, and received speaker fees from Abbvie and meeting sponsorship from MSD and Amgen. DMR has received research funding and honoraria from Novartis and Bristol-Myers Squibb and honoraria from Takeda. APG received honoraria from Roche, MSD, Janssen, Novartis and Amgen while having advisory roles for MSD Oncology, Janssen and Novartis. TPH is a member of the advisory boards and has received research funding and honoraria from Novartis and Bristol-Myers Squibb. The other authors declare no conflicts of interest.
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ISSN:0390-6078
1592-8721
1592-8721
DOI:10.3324/haematol.2022.282184