Management and outcomes of patients diagnosed with chronic myeloid leukemia in blast Phase: A multicenter analysis by the h jean khoury cure CML consortium
Abstract
Abstract Introduction: Despite advent of multiple tyrosine kinase inhibitors (TKIs) and newer treatment methods for AML and ALL, the outcomes of patients (pts) with chronic myeloid leukemia in blast phase (CML-BP) remain poor. Consensus guidelines on treatment of CML-BP are scarce. A recent study from the European leukemia network blast phase registry on 240 pts reported marked heterogeneity in treatment patterns and lack of an accepted standard. Hence, we undertook this study through the H Jean Khoury Cure CML Consortium (HJKC3) to describe the treatment patterns and outcomes of pts with CML-BP in the US. Methods: This is a multi-institution, retrospective study. IRB approval was obtained at each institution and data sharing agreements were executed. All pts diagnosed with CML-BP based on modified MD Anderson Criteria (≥30% blasts in the blood or bone marrow or extramedullary (EM) disease) from 2010 to 2025 were included. Categorical variables were compared using Chi-square test. Overall survival (OS) was calculated from time of diagnosis of CML BP to death from any cause. Event free survival (EFS) was calculated from date of best response to event (death or relapse). Results: Of the 283 pts with CML-BP, 96 (33.9%) were female and 187 (66.1%) were males. At the time of diagnosis, 183 (64.6%) had CML-CP, 21 (7.4%) pts had CML-AP and 79 (27.9%) pts had de-novo CML-BP. For the 204 pts that were initially diagnosed with CML-CP or CML-AP, the median time to progression to CML-BP was 22.5 months (1-207 months). Median age at diagnosis of CML-BP was 50 years (range 16-86 years). EM disease was present in 78 (27.6%) pts (38 myeloid sarcoma, 30 central nervous system and 10 skin). Blasts were of myeloid phenotype in 168 (59.4%), lymphoid in 103 (36.4%) and mixed in 9 (3.2%) pts. The bcr-abl protein was p210 in 229 (80.9%), p190 in 8 (2.8%) and p230 in 2 (0.7%) pts. ABL kinase domain mutation was seen in 42.1% (80/190) pts, with T315I being the most common (n=32), followed by E255K (n=16). Next generation sequencing was performed in 117 pts. The most common mutations were ASXL1 (n=27), RUNX1 (n=14), BCOR (n=4), DNMT3A (n=4) and BCORL1 (n=3). Of the 283 pts, 269 underwent CML-BP directed therapy. 63 (23.4%) pts were treated with TKI monotherapy, 184 (68.4%) pts were treated with a combination of chemotherapy (chemo) and TKI and 22 (8.2%) pts were treated with chemo alone. Response rate after CML-BP directed therapy was 75.3% (n=213). Best response was return to CML-CP in 49 pts, CHR with PCyR in 18 pts, CCyR in 31 pts, MMR in 31 pts, MR4 in 18 pts, MR4.5 in 19 pts and MR5 in 47 pts. Rate of response with 2G and ponatinib was significantly better than imatinib (85.3% and 77.3% vs 63.6%; p=0.04). 149 (55.4%) pts proceeded to alloSCT. Of the 213 pts that responded, 59 (27.7%) relapsed. At a median follow-up of 47 months, the median OS for all pts was 19.7 months (95% CI: 16.3-40.2 months), with 5-year OS rate of 38% (95% CI: 32-45%). Pts with myeloid phenotype had a significantly lower OS compared to lymphoid and mixed phenotype (Median OS 14.9 vs 45.9 and 31.1 months respectively; p=0.02). OS of pts that were treated with a combination of TKI and chemo was significantly longer compared to pts treated with TKI or chemo alone (52.9 vs 16.1 or 7.5 months; p<0.0001). Dasatinib (n=99; 34.9%) and ponatinib (n=97; 34.3%) were the most used TKIs followed by imatinib (n=23; 8.1%), nilotinib (n=21; 7.4%), bosutinib (n=8; 2.8%) and asciminib (n=3; 1.1%). Pts treated with ponatinib had a numerically longer OS compared to 2G-TKI and imatinib, however this was not statistically significant (40.1 vs 30.6 and 20.3 months; p=0.52). EFS for pts treated with ponatinib was significantly longer compared to 2G-TKI or imatinib (25.9 vs 17.6 and 15.9 months; p=0.03). In a landmark analysis, pts that underwent alloSCT within 6 months of diagnosis had a significantly longer OS compared to those who did not (69.3 vs 16.0 months; p=0.006). Conclusion: CML-BP continues to have poor prognosis. Treatment is heterogenous involving various combinations of TKI and chemo. In our analysis, treatment with 2G-TKI or ponatinib led to better responses. CML-BP with myeloid phenotype had worse OS. Treatment with ponatinib was associated with a numerically longer OS and significantly longer EFS compared to 2G-TKI and imatinib. In addition, treatment with chemo in combination with TKI and alloSCT led to improved OS.
Article Details
Authors (30)
Akriti Jain
1Cleveland Clinic, Internal Medicine, Cleveland, United States
Umar Iqbal
Human Health Therapeutics Research Center National Research Council Canada Ottawa Canada
Colin Vale
2Winship Cancer Institute of Emory University, Atlanta, United States
Anthony Hunter
3Emory University, Winship Cancer Institute, Atlanta, United States
Wei Wei
Kinaya Smith
4Medical College of Wisconsin, Milwaukee, United States
Shivani Handa
The Ohio State University, Columbus, Ohio, United States
Allyson Waller
1The James Cancer Hospital and Solove Research Institute at The Ohio State University, Department of Pharmacy, Columbus, United States
Alice Mims
3Ohio State University, Hematology/Oncology, Columbus, United States
Benjamin McCormick
6Mayo Clinic, Division of Hematology-Oncology and Blood and Marrow Transplantation and Cellular Therapy Program, Jacksonville, United States
Genevieve Crane
1Taussig Cancer Institute, Cleveland Clinic, Cleveland, United States
Ling Zhang
Asmita Shukla
1Karmanos Cancer Institute, Detroit, United States
Jay Yang
5Wayne State University School of Medicine, Department of Oncology, Detroit, United States
Amanda Dailey-Hansen
8Huntsman Cancer Hospital, Salt Lake City, United States
Srinivas Tantravahi
16Huntsman Cancer Institute, Salt Lake City, United States
Suravi Raychaudhuri
1University of Washington, Medicine (Hematology/Oncology), Seattle, United States
Vivian Oehler
1University of Washington, Medicine (Hematology/Oncology), Seattle, United States
Jerald Radich
Fred Hutchinson Cancer Center, Seattle
B. Douglas Smith
Nhi Nai
11University of New Mexico Comprehensive Cancer Center, Albuquerque, United States
Charles Foucar
7University of New Mexico Comprehensive Cancer Center, Albuquerque, United States
Onyee Chan
Moffitt Cancer Cancer and Research Institute, Tampa, Florida, United States
Javier Pinilla-Ibarz
2Moffitt Cancer Center, Tampa, United States
Michael Deininger
5Versiti Blood Research Institute, Milwaukee, United States
Talha Badar
Mayo Clinic, Jacksonville, Florida, United States
Sudipto Mukherjee
1Cleveland Clinic, Internal Medicine, Cleveland, United States
Kendra Sweet
1H. Lee Moffitt Cancer Center and Research Institute, Malignant Hematology, Tampa, United States
Ehab Atallah
17Medical College of Wisconsin, Milwaukee, United States
Zhuoer Xie
Moffitt Cancer Center, Tampa, Florida, United States