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Madero‐Marroquin, Rafael

https://orcid.org/0009-0002-9243-2662

Mayo Clinic

University of Chicago

Citations 3

Clinical and molecular characteristics of Philadelphia chromosome positive B-cell precursor acute lymphoblastic leukemia with central nervous system relapse versus systemic relapse: Results from consortium on myeloid malignancies and neoplastic diseases (C
Madero‐Marroquin, Rafael , Narra, Ravi , Coltoff, Alexander , Medawar, Georgio , Hisrich, Brooke, Shallis, Rory M. , Hunter, Cameron, Desai, Shreya, Correia, Guilherme Sacchi de Camargo, Palmisiano, Neil , Curran, Emily , Litzow, Mark R. , Mims, Alice S , Hunter, Cameron, Kota, Vamsi , Othman, Tamer , Jonas, Brian A. , DuVall, Adam , Omer, Zulfa , Advani, Anjali S. , Atallah, Ehab , Patel, Anand , Badar, Talha

Blood | December 5, 2025 | Volume: 146 | Issue: Supplement 1 | Pages: 3320-3320

10.1182/blood-2025-3320 Get It

Abstract Introduction: Clinical outcomes for patients (pts) with Philadelphia chromosome positive (Ph+) B-cell precursor Acute Lymphoblastic Leukemia (B-ALL) have significantly improved with the incorporation of tyrosine kinase inhibitors (TKI) and immunotherapy. Although the incidence of central nervous system (CNS) relapse in Ph+ B-ALL is rare, it has become an emerging challenge with chemotherapy-free approaches. While IKZF1, CDKN2A/B and emergence of T315I kinase domain mutations in ABL1 have been associated with worse outcomes (Foà R, JCO, 2024),further characterization of patients with CNS relapse could prove useful in risk stratification and optimizing treatment intensification. Currently, high white blood cell count (WBC) is being assessed as a marker to identify pts who may benefit from addition of CNS penetrant chemotherapy (ex. cytarabine or high-dose methotrexate (HD-MTX)) to TKI and immunotherapy protocols (Short NJ, J Hematol Oncol, 2025). Methods This is a multicenter retrospective study of relapsed/refractory Ph+ B-ALL pts under the COMMAND consortium. Age, gender, induction regimen and TKI of choice during induction were descriptively reported for the entire cohort. Categorical variables were compared, using Fisher's exact test, between pts with CNS relapse and pts with systemic relapse. Variables of interest were the presence of IKZF1 or CDKN2A/B alterations, emergence of T3151 mutation, CNS disease at diagnosis (dx), WBC >70K/microliter at dx, use of high-dose methotrexate (HD-MTX) during induction or consolidation, and use of TKI as part of the induction regimen. Odds ratio (OR) and 95% confidence intervals (CI) were reported for each variable. Results A total of 654 Ph+ B-ALL pts were initially identified across multiple centers in the United States, of whom 20 (3%) experienced a CNS relapse and 157 (24%) experienced a systemic relapse on median follow up of 29 months (range, 0-207). A total of 15 pts with CNS relapse and 114 pts with systemic relapse were used for this analysis after exclusion of pts without molecular data. The median age for the 129 pt cohort was 55 years (range 22-85), of whom 65 pts (50%) were male. Induction regimens used were intensive chemotherapy (IC)+TKI for 79 pts (61%), low-intensity chemotherapy or steroids (LDC-S)+TKI for 40 pts (31%), IC without TKI during induction for 5 pts (4%) and blinatumomab+TKI for 1 pt (1%). TKI of choice during induction included second-generation TKIs (dasatinib, nilotinib) for 77 pts (60%), imatinib for 30 pts (23%), ponatinib for 15 pts (12%) and none during induction for 5 pts (4%). CNS disease at dx was found in 6/15 pts (40%) with CNS relapse and 9/114 pts (8%) with systemic relapse, which was a statistically significant difference (p=0.002, OR= 7.57, 95% CI= 1.81 - 31.08). The systemic treatment regimens for the 15 pts with CNS disease at x were IC+TKI for 10 pts (66%) and LDC-S+TKI for 5 pts (33%), 9 of the pts (60%) received HD-MTX during induction. Intrathecal (IT) chemotherapy administration data at dx was available for 8 pts (53%) with CNS disease at dx, of whom 2 pts received <9 doses, 4 pts received 9-12 doses and 2 pts received >12 doses of IT chemotherapy. Although not statistically significant, pts with CNS relapse were more likely to have IKZF1 or CDKN2A/B alterations (p = 0.648, OR= 1.44, 95% CI= 0.14-7.78), WBC >70K/mcl (p = 0.472, OR= 1.73, 95% CI= 0.34-7.41), emergence of T3151 mutations (p = 0.123, OR= 2.54, 95% CI= 0.72-8.84) and use of HD-MTX during induction or consolidation (p = 0.262, OR= 2.15, 95% CI= 0.61-8.61); while they were less likely to have received a TKI during induction (p = 0.106, OR= 0.18, 95% CI= 0.02-2.34). Conclusion This data confirms that the presence of CNS disease at dx is associated with CNS relapse. Despite recent incorporation into clinical trials, WBC≥70K/mcl and omission of HD-MTX were not seen more frequently in pts with CNS relapse in this cohort. However, this analysis is limited by the small number of pts who experienced CNS relapse. With the rising use of chemotherapy-free regimens, prospectively trialing treatment intensification, such as with additional IT chemotherapy or HD-MTX, could be prospectively trialed in pts with CNS disease at dx to potentially improve outcomes for this subset of pts. The impact of increasing IT chemotherapy doses or additional cycles of systemic chemotherapy in this pt population is yet to be elucidated.
Next-Generation Sequencing-Based T-Cell Receptor (TR) Measurable Residual Disease Monitoring Does Not Predict Relapse in T-Lineage Acute Lymphoblastic Leukemia
Madero‐Marroquin, Rafael , Moreno, Yenny Vanegas, Anderson, Clare , Coltoff, Alexander , Odenike, Olatoyosi , Saygin, Caner , Askari, Adnan, Badar, Talha , Murthy, Guru Subramanian Guru , Lin, Chenyu , DuVall, Adam , Larson, Richard A. , Stock, Wendy , Patel, Anand

Blood | December 5, 2024 | Volume: 144 | Issue: Supplement 1 | Pages: 5937-5937

10.1182/blood-2024-203665 Get It

Introduction: The development of increasingly sensitive tests for the detection of measurable residual disease (MRD), such as multiparameter flow cytometry (MFC) and next-generation sequencing (NGS) assays, has changed clinical practice in acute lymphoblastic leukemia (ALL). IGH V(D)J-based NGS MRD is the most sensitive assay to predict relapse in patients (pts) with B-ALL (Short, Blood Adv 2022). However, data regarding the use of T-cell receptor (TR) NGS MRD in T-ALL are limited and recent reports from pediatric cohorts suggest that persistent TR MRD may not predict relapse in T-ALL (Roy, ASH 2023, abstract 2976). With limited options for the treatment of relapsed/refractory T-ALL, accurate prediction of high relapse risk may provide an opportunity for early intervention. In this study, we evaluated the prognostic utility of TRB/TRG NGS MRD and its correlation with MFC MRD in adult patients with T-ALL. Methods: We retrospectively evaluated the MRD data and clinical outcomes of precursor T (pre-T) and early T precursor (ETP) ALL patients treated at four academic centers in the US. MRD was evaluated using MFC in CLIA-certified labs at individual sites with a sensitivity of 10-4, and the clonoSEQ (Adaptive Technologies, lnc) NGS assay, with a sensitivity of 10-6. Pts were included if they had a trackable TR clone and NGS MRD remission assessment in at least one time point. The correlation between the percentage of MRD by MFC vs NGS was calculated with the Pearson correlation coefficient, using every available MRD assessment for T-ALL pts in complete remission. Relapse-free survival was stratified based on NGS MRD level at the time of post-induction and post-consolidation assays, and comparisons were made with the log-rank test. The positive predictive value (PPV) for relapse of NGS MRD was calculated for pts with MRD > 10-6 at the post-induction and post-consolidation period. Results: A total of 19 pts who met our inclusion criteria, with a median age of 30 years (range, 18-65). 9 pts (47%) had ETP-ALL, 10 pts had pre-T ALL. Pts had a trackable TRB/TRG clone in 76% of cases, with 66% having a trackable TRG clone and 38% having a trackable TRB clone. 10 pts (53%) were treated with a modified AALL0434 regimen as first line therapy, 6 pts (32%) were treated with CALGB10403, 1 pt (5%) was treated with hyperCVAD, 1 pt (5%) was treated with a BFM regimen, and 1 pt (5%) was treated with CALGB9511. Out of 11 T-ALL pts with MRD data available post-induction, 6 pts (55%) had detectable MRD by NGS and no detectable MRD by MFC. Out of 13 pts with available post-consolidation MRD data, 2 pts (15%) had undetectable MRD by both NGS and MFC and 9 pts (69%) had detectable MRD by NGS only. There were no pts with detectable MRD by MFC and undetectable MRD by NGS at either timepoint. A total of 64 MRD data points from 19 pts were available to evaluate MRD correlation by MFC vs NGS, for which the Pearson correlation coefficient showed a statistically significant linear correlation (p < 0.01). At post-induction, 9 pts had NGS MRD > 10-4 and 2 pts had NGS MRD < 10-4. With a median follow-up time of 19.8 months, pts with NGS MRD > 10-4 had a median RFS of 19.8 months and pts with NGS MRD < 10-4 had a median RFS of 14.8 months. The log-rank test comparing RFS between these two groups was not statistically significant (p= 0.18). Persistent NGS MRD at post-induction had a PPV for relapse of only 18%. At post-consolidation, 7 pts had NGS MRD > 10-4, 4 pts had NGS MRD < 10-4, and 2 pts had undetectable MRD by NGS. With a median follow-up time of 17.3 months, pts with NGS MRD > 10-4 had a median RFS of 15.3 months and pts with NGS MRD < 10-4 or undetectable had a median RFS of 20.6 months. The log-rank test comparing RFS between these two groups was not statistically significant (p= 0.6). Persistent NGS MRD at post-consolidation had a PPV for relapse of only 27%. Conclusion: Despite statistically significant linear correlation between MFC and NGS MRD testing, there were no RFS differences between pts with NGS MRD > 10-4 vs NGS MRD < 10-4. All patients had persistent NGS MRD post-induction, which is markedly lower than the reported 20-25% NGS undetectable MRD rate in B-ALL post-induction. Persistent NGS MRD has low PPV for relapse in T-ALL, which limits its utility in clinical decision making for this population.
Risk classification at diagnosis predicts post-HCT outcomes in intermediate-, adverse-risk, and KMT2A-rearranged AML
Menghrajani, Kamal , Gomez-Arteaga, Alexandra , Madero‐Marroquin, Rafael , Zhang, Mei‐Jie , Bo-Subait, Khalid, Sánchez, J. Ortiz, Wang, Hailin , Aljurf, Mahmoud , Assal, Amer , Bejanyan, Nelli , Bredeson, Christopher , Byrne, Michael , Castillo, Paul , Černý, Jan , Ciurea, Stefan O. , DeFilipp, Zachariah , Farhadfar, Nosha , Gadalla, Shahinaz M. , Ganguly, Siddhartha , Gowda, Lohith , Hashmi, Shahrukh K. , Hildebrandt, Gerhard , Kanakry, Christopher G. , Khimani, Farhad , Krem, Maxwell M. , Liu, Hongtao , Martino, Rodrigo , Michelis, Fotios V. , Nathan, Sunita , Rizzieri, David A. , Rowe, Jacob M. , Seo, Sachiko , Sharma, Akshay , Solh, Melhem , Üstün, Celalettin , Verdonck, Leo F. , Litzow, Mark R. , Weisdorf, Daniel J. , Zhang, Yanming , Tallman, Martin S. , Saber, Wael , Bacher, Ulrike , Bejanyan, Nelli , Bhatt, Vijaya Raj , Cerny, Jan , Chhabra, Saurabh , DeFilipp, Zachariah , Gadalla, Shahinaz M , Gale, Robert P , Hashmi, Shahrukh K , Hildebrandt, Gerhard C , Kansagra, Ankit , Krem, Maxwell M , Lazarus, Hillard M , Liu, Hongtao , Martino, Rodrigo , Michelis, Fotios V , Nishihori, Taiga , Olsson, Richard F , Reshef, Ran , Rizzieri, David A , Savani, Bipin N , Seo, Sachiko , Sharma, Akshay , Ustun, Celalettin , Hourigan, Christopher S , Sandmaier, Brenda M , Litzow, Mark R. , Weisdorf, Dan , Assal, Amer , Badawy, Sherif M. , Bhatt, Vijaya Raj , Chhabra, Saurabh , Gale, Robert Peter , Grunwald, Michael R. , Kansagra, Ankit , Lazarus, Hillard M. , Nishihori, Taiga , Olsson, Richard F. , Reshef, Ran , Savani, Bipin N. , Hourigan, Christopher S. , Kebriaei, Partow

Blood Advances | September 22, 2021 | Volume: 6 | Issue: 3 | Pages: 828-847

10.1182/bloodadvances.2021004881 Get It

Abstract Little is known about whether risk classification at diagnosis predicts post-hematopoietic cell transplantation (HCT) outcomes in patients with acute myeloid leukemia (AML). We evaluated 8709 patients with AML from the CIBMTR database, and after selection and manual curation of the cytogenetics data, 3779 patients in first complete remission were included in the final analysis: 2384 with intermediate-risk, 969 with adverse-risk, and 426 with KMT2A-rearranged disease. An adjusted multivariable analysis detected an increased risk of relapse for patients with KMT2A-rearranged or adverse-risk AML as compared to those with intermediate-risk disease (hazards ratio [HR], 1.27; P = .01; HR, 1.71; P < .001, respectively). Leukemia-free survival was similar for patients with KMT2A rearrangement or adverse risk (HR, 1.26; P = .002, and HR, 1.47; P < .001), as was overall survival (HR, 1.32; P < .001, and HR, 1.45; P < .001). No differences in outcome were detected when patients were stratified by KMT2A fusion partner. This study is the largest conducted to date on post-HCT outcomes in AML, with manually curated cytogenetics used for risk stratification. Our work demonstrates that risk classification at diagnosis remains predictive of post-HCT outcomes in AML. It also highlights the critical need to develop novel treatment strategies for patients with KMT2A-rearranged and adverse-risk disease.