Handa, Shivani

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.

Introduction TP53 alterations (TP53+) are seen in <5% of patients (pts) with chronic myeloproliferative neoplasms (MPNs) but are more common in accelerated/blast phase (MPN-AP/BP) [Luque Paz D, et al 2020]. While pts with low-burden TP53+ (Variant allele frequency (VAF) <5%) may remain stable for years [Kubesova et al, 2018]; biallelic loss of TP53 is thought to confer higher risk for progression [Li et al, 2022] and worse overall survival (OS) than non-TP53+ pts [Rolles et al, 2023]. However, TP53 abnormalities have not been incorporated into currently utilized molecular based prediction models (MIPSS or MIPSS70) or compared with currently validated high molecular-risk (HMR) mutations (mut). We report the outcomes of the largest cohort of TP53+ MPN pts to date in comparison with HMR mut, and identify a VAF cut-off associated with highest risk of progression to MPN-AP/BP. Methods We retrospectively reviewed 2583 MPN pts from Mount Sinai Hospital (MSH) and Memorial Sloan Kettering Cancer Center (MSK) with at least one next generation sequencing (NGS) performed. Deidentified data from an additional cohort of 8 TP53+ MPN pts was received from University of Miami Sylvester Cancer Center (UMiami). Patient characteristics such as MPN subtype, gender, age at MPN diagnosis, driver mutation, thrombosis history were recorded. We also recorded date of transformation to MPN-AP/BP, dates of NGS testing, mutational and cytogenetic data, and survival status. We defined multi-hit TP53 as presence of =/>2 TP53mut, VAF > 50% or TP53 mutation + 17p deletion. Additional cohorts of pts with HMR mut (ASXL1, EZH2, IDH1/2, U2AF1, SRSF2 as per MIPSS70v.2) from MSH and non-TP53+ pts from the MPN-Research Consortium Tissue Bank were used as comparator arms. Patient characteristics were compared between TP53 single-hit and multi-hit using Chi-Sq test for categorical variables and Kruskal-Wallis test for continuous variables. Cumulative incidence function and Kaplan-Meier method were used to compare leukemic transformation and OS, respectively, between groups. Successive VAF levels with minimum groups of 25% of the total cohort were used to identify an optimal VAF cut-off. Results Of the 2583 MPN pts from MSH and MSK, 66 pts (2.6%) were found to have a TP53 mutation. Including 8 additional pts from UMiami, we analyzed a total of 74 TP53+ MPN pts; 40 single-hit and 34 multi-hit. Median age at MPN diagnosis was 61 years with a male predominance (60%). Distribution of driver mut was similar in single-hit vs multi-hit cohort with JAK2V617F being the most common (58%), whereas 11% of pts had triple negative disease . Thrombotic history was available for 45 TP53+ pts, with a high frequency of venous/arterial thrombosis (21/45 or 46.7%) in the TP53+ group as compared to 18.5% in the non-TP53+ MPN cohort (p= 0.0001). A significantly higher number of multi-hit TP53+ pts had a concurrent complex karyotype (79% vs 24% in single-hit; p<.001). MPN diagnosis at the time of detection of TP53+ was ET/PV (25.7%), MF (44.6%), MDS/MPN overlap syndrome (6.8%), MPN-U (2.7%) and MPN-AP/BP (20.3%), respectively. One or more genetic samples with TP53+ was available prior to transformation to MPN-AP/BP in 77% of pts (21/34 multi-hit; 36/40 single-hit) while a TP53+ was detected at the time of MPN-AP/BP diagnosis in the rest. Multi-hit TP53+ was associated with a significantly higher incidence of transformation to MPN-AP/BP as compared to single-hit; [65% vs 17.5%; HR=4.08 (1.71-9.71), p=0.0015]. Compared with HMR mut, multi-hit (HR=2.41; p=0.004) but not single-hit (HR=0.53; p=.277) TP53+ MPN pts were found to have a significantly increased risk of MPN-AP/BP transformation. One-year OS from the time of mutation detection was significantly inferior for both multi-hit (53.3%) and single-hit (75%) TP53+ pts as compared to HMR mut (98.8%, p=<.001). Cut-point analysis identified VAF >36% to be associated with the highest risk of transformation (HR=3.08) with lowest p-value (0.002). Conclusions Multi-hit TP53 alterations are associated with a significantly increased risk of leukemic evolution as compared to previously validated HMR mut, whereas both multi and single-hit TP53 mut are associated with worse OS highlighting the importance of TP53 in MPN disease progression.