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Project Evolve, Evaluation of Lineage Switch (LS), an International Initiative: Preliminary Results Reveal Dismal Outcomes in Patients with LS
Harrison, Cynthia , Biery, D. N. , Zerkalenkova, Elena , Alonso‐Saladrigues, Anna , Utley, Kaylyn, Fernandes, Sneha, Carapia, Naomi Torres, Vatsayan, Anant , Pacenta, Holly , Escherich, Gabriele , Lee, Benjamin J. , Fitzjohn, Mandi R., Larson, Daniel P. , Cuevo, Raymund S., He, Rui , Reed, Kelly, Wölfl, Matthias , Raikar, Sunil S. , Savaşan, Süreyya , Puri, Latika, Gahvari, Zhubin, Talleur, Aimee C. , Abdel‐Azim, Hisham , Chamdin, Aghiad, Provost, Marlie R. M., Mezger, Kerstin, Stevens, Alexandra M. , Hsieh, Emily M. , Duffner, Ulrich, Hoang, Chloe, Davis, Kara L. , Jacoby, Elad , Попов, А. М. , Lamble, Adam J. , Raikar, Sunil S , Zerkalenkova, Elena , Harrison, Cynthia , Lee, Benjamin J , Davis, Kara L , Silbert, Sara K. , Semchenkova, Alexandra , Aldoss, Ibrahim , Zhao, Liping , Rubinstein, Jeremy , Chang, Bill H , De Moerloose, Barbara , Kuo, Dennis J , Redell, Michele S. , Duployez, Nicolas , Dickens, David S. , Chaer, Firas El , Fabrizio, Vanessa A , Wang, Hao‐Wei , Yuan, Constance M. , Pan, Jing , Ghorashian, Sara , Rives, Susana , Shah, Nirali N

Blood | December 1, 2023 | Volume: 142 | Issue: Supplement 1 | Pages: 4202-4202

10.1182/blood-2023-182293 Get It

Introduction: Lineage switch (LS) refers to the transformation of acute leukemia from one cell lineage to another (e.g., lymphoid (ALL) to myeloid (AML)). This rare phenomenon, distinct from treatment induced malignancy (i.e., t-AML) and mixed phenotype acute leukemia (MPAL), is increasingly being observed following cell surface antigen targeting. Given challenges in the diagnosis and treatment of LS, Project EVOLVE was developed to globally identify cases of LS following immunotherapy. Methods: A protocol and data collection form for this IRB exempt study was widely disseminated to capture deidentified LS case information across multiple centers and cancer consortia. This included collection of data from published reports of LS, with authors contacted to obtain additional information. For this analysis, LS was defined by the emergence of cell-surface markers warranting reclassification of the original leukemia as a different lineage derivation based on the immunophenotype, including cases of AML emerging alongside the original ALL. “Confirmed” LS cases included those where retention of original cytogenetic or molecular aberrations and/or the clonal immunoglobulin rearrangement patterns were verified to confirm the clonal relationship. “Suspected” LS cases included those where samples to confirm clonality marker retention could not be obtained, but the clinical presentation was consistent with LS. The term “transition” was applied when immunophenotypic shifts were transient. Cases with new cytogenetic abnormalities unrelated to the original diagnosis and compatible with t-AML were excluded. Statistical analysis was primarily descriptive. Data cut-off was July 26, 2023. Results: A total of 58 cases were identified, including 19 cases referenced in prior publications. Of the 58, 11 cases were excluded from this initial analysis, including: 4 cases of t-AML, 2 cases of T-ALL to AML, and 5 “transition” cases. Collectively, 47 cases of LS (43 “confirmed”; 4 “suspected”), spanning across 3 continents and 8 countries, were analyzed. (Fig. 1A) Cases included transition from B-ALL to AML in 36 (76.6%) and to MPAL/biphenotypic/ambiguous lineage in 11 (23.4%). Two likely had MPAL at diagnosis and a third with chronic myeloid leukemia. The median age at initial diagnosis was 8.4 years (range, 1 day-76.5 years); median age at LS presentation was 11.0 years (range 0.4-77.3 years). Twenty-three (48.9%) were male and 19 (40.4%) had prior stem cell transplant (SCT). Baseline cytogenetics showed KMT2A rearrangement in 27 (57.4%). Baseline myeloid antigen co-expression was seen in 22 of 23 patients with submitted data, but variation in degree of expression across patients and antigens was substantial. The most proximal immunotherapy prior to development of LS was CAR T-cells in 23 (48.9%) and blinatumomab in 24 (51.1%). The median time from the most proximal immunotherapy to development of LS was 1.6 months (range, 7 days-36.5 months). In 7 (29.2%) patients receiving blinatumomab, LS developed during the infusion. LS presented as isolated marrow relapse in 27 (57.4%), isolated CNS in 2 (4.3%), isolated non-CNS extramedullary disease in 3 (6.4%), combined relapse in 14 (29.8%) and unreported in 1. First line treatment for LS was chemotherapy induction in 31 (66.0%), palliative care/no therapy in 8 (17.0%), and alternative therapies in the remaining 8 (17.0%). In 35 (74.5%) patients, remission induction was the goal of first line therapy. Fifteen (31.9%) achieved a complete remission (CR) of whom 2 were treated with palliative intent. Across all patients, 8 (17.0%) are alive in remission, the longest being 4.7 years from LS diagnosis; 2 (4.3%) are alive with active LS and 37 (78.7%) died from LS, their original disease, or complications of treatment of LS (Fig 1B). For those alive in CR (n=8), 7 (87.5%) proceeded to a consolidative SCT for treatment of LS and 1 patient, an octogenarian remains in remission after AML directed therapy. Conclusions: LS is emerging as an important mechanism of immune escape following immunotherapy. Project EVOLVE provides the largest dataset of patients with LS to date. This systematic, international effort reveals substantial complexity and variability in diagnosing and managing LS. Unfortunately, outcomes following LS are grim, underscoring the critical need to identify risk factors of and optimal therapies for this leukemia transformation.
LEO Consortium for Real World Evidence (CReWE): Outcomes after Second-Line Therapy in Large B-Cell Lymphoma By Treatment Era
Koff, Jean L. , Martin, Peter , Cohen, Jonathon B. , Khurana, Arushi , Nowakowski, Grzegorz S. , Haddadi, Sara , Lossos, Izidore S. , Ayers, Amy , Reicks, Tanner W., Flowers, Christopher R. , Koff, Jean L , Larson, Melissa C. , Ayyappan, Sabarish Ram , Link, Brian K. , Habermann, Thomas M. , Wang, Yucai , Chihara, Dai , Casulo, Carla , Kahl, Brad S. , Cerhan, James R. , Maurer, Matthew J. , Nastoupil, Loretta J.

Blood | December 1, 2023 | Volume: 142 | Issue: Supplement 1 | Pages: 307-307

10.1182/blood-2023-186270 Get It

Background: Recently, large B-cell lymphomas (LBCLs) have undergone major shifts in classification and treatment paradigm, particularly with the advent of CD19-targeted chimeric antigen receptor T cell therapy (CAR-T). Initially approved as third-line treatment in LBCL in 2017, as of early 2022 CAR-T is indicated for second-line therapy (2L) in patients with relapsed or refractory (R/R) disease within 12 months of frontline treatment or who are not candidates for autologous stem cell transplant (ASCT). Given this quickly changing landscape, we aimed to describe disease characteristics, patterns of care, and survival outcomes in patients with R/R LBCL receiving two or more lines of systemic therapy across modern treatment eras. Methods: We developed a database of patients with R/R LBCL from 8 U.S. academic centers in the Lymphoma Epidemiology of Outcomes (LEO) Cohort study (NCT02736357) and Consortium for Real World Evidence (CReWE). Unlike the SCHOLAR-1 dataset (M Crump et al, Blood 2017), our cohort included any patient receiving 2L, regardless of timing of progression/relapse. For this analysis, eligible patients were aged ≥18 years and received 2L between 2002-2022. Patients with histologic transformation, post-transplant lymphoproliferative disorder, primary CNS lymphoma, primary mediastinal B-cell lymphoma, Burkitt lymphoma, or plasmablastic lymphoma were excluded. Prognostic factors, therapy details (including intent for ASCT and/or CAR-T), and outcomes, including treatment response, event-free survival (EFS), and overall survival (OS), were abstracted for all lines of therapy. Treatment eras were defined as pre-CAR-T (2002-2010), CAR-T available via clinical trial (2011-2017), and post-FDA approval of CAR-T (2018-2022). Results: Of 1760 patients initiating 2L for R/R disease, 1523 were eligible for analysis. Median age at start of 2L was 62 (interquartile range [IQR] 53-70), and 65% were male; 11% were non-White, and 8% were Hispanic. High-grade subtypes comprised 16% of all cases. IPI was available for 1013 patients at time of 2L therapy, with 54% having IPI 3-5. Median time from diagnosis to 2L was 8.7 months (IQR 5.6-18.5), with 834 patients not having achieved complete response (CR) to 1L, 285 patients relapsing <12 months after 1L, and 404 patients relapsing ≥12 months after 1L. The median number of total lines of therapy received was 4 (range 2-18), with 586 and 347 receiving ASCT and CAR-T, respectively, at any line of treatment. At a median follow-up of 48 months from the start of 2L, 926 patients (61%) had died. Progressive lymphoma was the primary cause of death in 75% of deceased patients, with 8% of reported deaths due to therapy. 2L was received at an academic medical center in 83% cases, and 209 patients (14%) received 2L on a clinical trial. ASCT and/or CAR-T was planned at 2L for 989 patients (65%), of whom 463 ultimately received ASCT, 88 received CAR-T, and 21 received allogeneic transplant at 2L. 494 patients were not considered for ASCT or CAR-T at 2L, and 40 were unknown for ASCT/CAR-T intent. Breakdown by treatment era (n = 1518 with available treatment start date) is shown in the Table. Median EFS from start of 2L was 4.2 months (95% confidence interval [CI]: 3.8-4.8). Median OS from start of 2L was 18 months (95% CI: 17-22), and 2- and 5-year OS estimates were 46% (95% CI: 44-49%) and 35% (95% CI: 33-38%), respectively. EFS and OS improved significantly for patients initiating 2L between 2011-2017 compared to 2002-2010. However, EFS and OS in the 2018-2022 era remained similar to 2011-2017 (Figure). Conclusions: To our knowledge, this study is the first-ever large-scale attempt to describe patterns of care and outcomes in LBCL 2L in the modern era, inclusive of all treatment approaches. The rich and unique LEO CReWE dataset captures evolving practice approaches over time in terms of both intent for and receipt of cellular therapies. Likely reflecting the rapid development of many novel immune effector cell products and bispecific antibodies, we observed increased enrollment on 2L clinical trials in the 2018-2022 period, including a substantial proportion of patients receiving CAR-T in 2L. Importantly, survival increased in treatment eras during which CAR-T was available. Ongoing analyses of factors associated with improved survival will be presented at the meeting.
An International Multicohort Study of Conditional Survival and Cause of Death after Achieving Event-Free Survival at 24 Months in Patients with Mantle Cell Lymphoma
Ekberg, Sara , Smedby, Karin Ekstroem, Zhao, Eric J. , Hill, Brian T. , Martin, Peter , Danilov, Alexey V. , Fenske, Timothy S. , Albertsson‐Lindblad, Alexandra , Glimelius, Ingrid , Larsen, Thomas Stauffer , Maddocks, Kami J. , Nowakowski, Grzegorz S. , Villa, Diego , Cohen, Jonathon B. , El-Galaly, Tarec Christoffer Christoffer, Wang, Yucai , Larson, Melissa C. , Farooq, Umar , Simonsen, Mikkel Runason , Niemann, Carsten Utoft , Gerrie, Alina S. , Switchenko, Jeffrey M. , Bond, David A. , Bachanová, Veronika , Barta, Stefan K , Grover, Natalie S. , Karmali, Reem , Ghosh, Nilanjan , Kahl, Brad S. , Al‐Mashhadi, Ahmed Ludvigsen , Link, Brian K. , Paludo, Jonas , Habermann, Thomas M. , Maurer, Matthew J. , El‐Galaly, Tarec Christoffer , Jerkeman, Mats , Cerhan, James R.

Blood | December 1, 2023 | Volume: 142 | Issue: Supplement 1 | Pages: 1656-1656

10.1182/blood-2023-182747 Get It

Background: Event-free survival at 24 months (EFS24) after frontline immunochemotherapy (IC) is an important endpoint in diffuse large B-cell lymphoma and follicular lymphoma, and patients who achieve EFS24 have similar survival compared to age- and sex-matched general population. The role of EFS24 in predicting subsequent survival has not been established in mantle cell lymphoma (MCL), possibly due to perceived poor survival historically. In the last decade, the outcomes of MCL are improving in the evolving treatment landscape. In this international multicenter study, we investigated conditional survival and cause of death in patients with MCL who achieved EFS24 after frontline IC in the older and more recent eras. Methods: Outcomes after frontline IC were evaluated in 5 independent cohorts that included over 3000 patients in total: Mayo/Iowa MER prospective cohort, BC Cancer retrospective population-based cohort, US 12-center retrospective cohort, Swedish Lymphoma Registry, and Danish National Lymphoma Registry. For each cohort, 2 treatment eras were defined based on cohort-specific shifts in treatment patterns (Table 1). Overall survival (OS) after diagnosis and after achieving EFS24 were compared to the background age- and sex-matched general population using a standardized mortality ratio (SMR). Cumulative incidences of cause-specific deaths were analyzed using a competing risk model. Results: In the MER cohort, patients treated in Era M1 (2002-2009; n=147) and Era M2 (2010-2015; n=153) both had inferior OS compared to the general US population. A lower SMR in Era M2 vs M1 (2.25 vs 3.46) suggests a narrower gap in OS compared to the general US population. Lymphoma was the leading cause of death in both eras. In Era M1, patients who achieved EFS24 still had inferior OS compared to the general US population (SMR=2.40, 95% CI 1.76-3.19), and lymphoma remained the leading cause of death. For patients in Era M2 who achieved EFS24, the difference in OS compared to the general US population was not statistically significant with current follow-up (SMR=1.43, 95% CI 0.93-2.09), and lymphoma was no longer the leading cause of death (Table 2). In the BC cohort, patients treated in Era B2 (6/2013-2019; n=188) vs Era B1 (2003-5/2013; n=250) had a narrower gap in OS compared to the general British Columbia population (SMR 4.53 vs 6.69). Lymphoma was the leading cause of death in both eras. For patients achieving EFS24, the gap in OS was narrower in Era B2 vs B1 (SMR 3.56 vs 4.99). After achieving EFS24, lymphoma was the single leading cause of death for patients in Era B1 but not in Era B2 (Table 2). In the US 12-center cohort, patients treated in Era U1 (2002-2011; n=312) and Era U2 (2012-2016; n=417) both had inferior OS compared to the general US population (SMR 2.68 and 2.92, respectively). In patients who achieved EFS24, with current follow up, the difference in OS compared to the general US population was statistically significant in Era U1 (SMR=2.01, 95% CI 1.50-2.64) but not in Era U2 (SMR=1.44, 95% CI 0.82-2.34). Lymphoma was not the leading cause of death after achieving EFS24 (Table 2). In the Swedish cohort, the gap in OS compared to the general Swedish population was narrower in Era S2 (2013-2018; n=439) vs S1 (2006-2012; n=442), both after frontline IC (SMR 4.8 vs 5.4) and after achieving EFS24 (SMR 2.6 vs 3.4). After achieving EFS24, lymphoma was the leading cause of death for patients in Era S1 but not in Era S2 (Table 2). In the Danish cohort, patients treated in Era D2 (2014-2020; n=370) vs Era D1 (2004-2013; n=461) had a slightly narrower gap in OS compared to the general Danish population (SMR 1.90 vs 2.10). For patients who achieved EFS24, those in Era D1 still had inferior OS compared to the general Danish population (SMR=1.44, 95% CI 1.22-1.68), but the OS difference compared to the general Danish population in Era D2 was not statistically significant (SMR=1.27, 95% CI 0.92-1.72) with current follow-up (Table 2). Cause of death data were not available in this cohort. Conclusion: Survival in patients with MCL who achieved EFS24 after frontline IC improved in the more recent treatment era and moved closer to the background expected survival. After achieving EFS24, lymphoma-related mortality was no longer the leading cause of death in the more recent era. EFS24 following frontline treatment may become a critical endpoint for predicting subsequent outcomes in patients with MCL in the modern era.
Comparative Effectiveness of Axicabtagene Ciloleucel Vs Historical Standard-of-Care in Patients with Relapsed or Refractory Follicular Lymphoma: An Analysis of CIBMTR and SCHOLAR-5 Data
Kambhampati, Swetha , Wang, Hailin , Yan, Jiali , Herrera, Alex F. , Frank, Matthew J. , Popplewell, Leslie , Best, Timothy, Fu, Christine, Beygi, Sara , Ray, Markqayne D, Bian, John, Hu, Zhen‐Huan , Pasquini, Marcelo C. , Jacobson, Caron A. , Ahmed, Nausheen , Lin, Yi , Locke, Frederick L. , Ghione, Paola , Gribben, John G. , Ray, Markqayne D. , Sun, Fang

Blood | December 1, 2023 | Volume: 142 | Issue: Supplement 1 | Pages: 2121-2121

10.1182/blood-2023-178629 Get It

Background: Axicabtagene ciloleucel (axi-cel), an autologous chimeric antigen receptor (CAR) T-cell therapy, achieved an overall response rate (ORR) of 94% and a complete response (CR) rate of 79% in patients with relapsed or refractory (r/r) follicular lymphoma (FL) after two or more prior lines of therapy in the ZUMA-5 trial ( Jacobson et al. Lancet Oncol. 2022). Since its FDA approval in March 2021, there has been little evidence on comparative effectiveness (CE) studies of axi-cel vs standard-of-care (SoC), except ones using ZUMA-5 and historical SCHOLAR-5 data (eg, Ghione et al. Blood. 2022). This study was aimed to address this evidence gap in CE of axi-cel vs SoC used to treat r/r FL in real-world settings. Methods: The two data sources in this study were patients who received commercial axi-cel between March 2021 and May 2023 from the CIBMTR and patients who received historical SoC (eg, chemotherapy, anti-CD20 mAb + chemotherapy, immunomodulatory imide drugs) between July 2014 and December 2020 from SCHOLAR-5, which served as an external control of ZUMA-5 trial. The index date was defined as the initiation date of either the infusion for axi-cel patients or the last eligible systemic therapy for SoC patients. Patients were included if they were age ≥ 18, had documented r/r FL with histological grade 1, 2 or 3a, and received at least 2 prior lines of therapy at the index. Patients were excluded if they had transformed diffused large B-cell lymphoma, central nervous system involvement, prior receipt of CAR T or other non-CAR T cellular therapies or allogeneic stem cell transplant, or no post-index information on outcomes. Four effectiveness outcomes were ORR, CR rate, progression-free survival (PFS), and overall survival (OS). Imbalance in observed prognostic risk factors between the two was adjusted via a propensity score analysis using the standard mortality ratio weighting (SMRW). The primary analyses included weighted univariable analysis and multivariable logistic (ORR and CR rate) or Cox (PFS and OS) regressions that were adjusted for the covariates after the SMRW. A sub-analysis of patients age ≥ 65 was conducted using the same methods as the primary analyses. Results: The unweighted study cohort included 376 patients, in which 256 (68%) received axi-cel . Thepatients who received axi-cel were more likely to be younger (median age 61 for axi-cel vs 67 for SoC), have grade 3a FL (37% vs 12%), received 3 or more prior lines of therapy (83% vs 58%), or remained refractory to the last prior therapy (79% vs 73%) vs those who received SoC. The imbalance in the observed prognostic risk factors was mitigated via the SMRW. The weighted univariable analysis, in which the sample size by treatment reflected the SMRW, is shown in Table 1. In patients of all ages, ORR was 92% in axi-cel vs 67% in SoC, and CR rate was 84% vs 37%. Because of varying follow-up lengths by treatment (median 7 months for axi-cel and 37 months for SoC), survival outcomes were reported at month 6, at which time PFS rate was 88% in axi-cel vs 64% in SoC and OS rate was 97% vs 85%. The corresponding proportions for patients age ≥ 65 were similar to those reported for patients of all ages. In the weighted multivariable regressions, axi-cel was associated with statistically significantly better outcomes by all 4 effectiveness measures vs SoC (Table 1). Specifically, in patients of all ages, the odds ratios for axi-cel were 4.93 (95% CI, 2.35−10.34) for ORR and 16.72 (95% CI, 7.03−39.73) for CR rate, and the hazard ratios for axi-cel were 0.41 (95% CI, 0.22−0.77) for PFS and 0.15 (95% CI, 0.06−0.34) for OS. Similar to the patients of all ages in the primary analyses, patients age ≥ 65 in the sub-analysis also demonstrated improved outcomes associated with axi-cel (Figure 1). Conclusions: This study showed that patients with r/r FL after two or more prior lines of therapy treated with axi-cel experienced better outcomes compared with patients treated with SoC, and that older patients also benefited significantly from axi-cel. These findings suggest that axi-cel addresses an important unmet medical need in patients with r/r FL. Future research should include longer follow-up data on outcomes of axi-cel and CE of axi-cel vs other contemporary SoC therapies.
Data-Driven Harmonization of 2022 Who and ICC Classifications of Myelodysplastic Syndromes/Neoplasms (MDS): A Study By the International Consortium for MDS (icMDS)
Ball, Somedeb , Travaglino, Erica , Ali, Najla H. Al, Fenaux, Pierre , Tinsley-Vance, Sara M., Schwabkey, Zaker , Brunner, Andrew M. , Bennett, John M. , Buckstein, Rena , Hasserjian, Robert P. , Odenike, Olatoyosi , Padron, Eric , Patnaik, Mrinal M. , Stahl, Maximilian , Xu, Mina L. , Sweet, Kendra , Sallman, David A. , Nimer, Stephen D. , Borate, Uma , Gore, Steven D. , Garcia‐Manero, Guillermo , Wang, Sa A. , Foucar, M K, Germing, Ulrich , Haferlach, Torsten , Miyazaki, Yasushi, Iastrebner, Marcelo , Cluzeau, Thomas , Loosdrecht, Arjan A. van de , Lanino, Luca , Bewersdorf, Jan Philipp , Marchetti, Monia , Maggioni, Giulia , Platzbecker, Uwe , Santini, Valeria , Díez‐Campelo, María , Singh, Avani , Jain, Akriti Gupta , Aguirre, Luis E. E. , Tinsley-Vance, Sara M., Chan, Onyee , Xie, Zhuoer , Kuykendall, Andrew , Bejar, Rafael , Carraway, Hetty E. , Dezern, Amy Elizabeth , Griffiths, Elizabeth A. , Halene, Stephanie , Lancet, Jeffrey E. , List, Alan F. , Loghavi, Sanam , Roboz, Gail J. , Sekeres, Mikkael A. , Steensma, David P. , Savona, Michael R. , Taylor, Justin , Hourigan, Christopher S. , Wei, Andrew H. , Sauta, Elisabetta , D'Amico, Saverio , Asti, Gianluca , Castellani, Gastone , Sanz, Guillermo , Efficace, Fabio , Kim, Tae Kon , Daver, Naval , Rozman, Marı́a , Órfão, Alberto , Scheinberg, Phillip , Miyazaki, Yasushi , Kulasekararaj, Austin , Kordasti, Shahram , Adès, Lionel , Zeidan, Amer M. , Komrokji, Rami S. , Della Porta, Matteo Giovanni

Blood | December 1, 2023 | Volume: 142 | Issue: Supplement 1 | Pages: 998-998

10.1182/blood-2023-186580 Get It

Background. The inclusion of gene mutations and chromosomal abnormalities in the 2022 WHO and ICC Classifications of MDS has enhanced diagnostic precision and is expected to improve clinical decision-making process. Although these two systems share similarities, clinically relevant discrepancies still exist and potentially cause inconsistency in their adoption in a clinical setting. In this study on behalf of the International Consortium for MDS (icMDS), we adopted a data-driven approach to provide a harmonization roadmap between the 2022 WHO and ICC classification for MDS. A modified Delphi Process consensus approach is currently ongoing among icMDS experts to finalize a harmonized MDS classification scheme. Methods. We analyzed retrospective international cohorts of patients with a diagnosis of MDS (n=7017) and AML (n=1002) according to WHO 2016 criteria. Hierarchical Dirichlet Processes were applied to define clusters capturing broad dependencies among all gene mutations and cytogenetic abnormalities. To investigate the features of importance and their impact on the clustering process, we employed the SHapley Additive exPlanations approach (SHAP). This allowed to define harmonized labels for each clinical entity. The clinical relevance of the unsupervised clustering was assessed through the analysis of phenotypic features and outcomes among each group. ( Blood 2022;140: 9828-9830) Results. Patients' characteristics are summarized in Table 1. We identified 9 clusters, defined by specific genomic features. The cluster of highest hierarchical importance was characterized by biallelic inactivation of TP53 (biTP53). According to SHAP analysis, bi TP53 was defined as 2 or more TP53 mutations, or 1 mutation with copy number loss or cnLOH. Most patients assigned to bi TP53 cluster had TP53 VAF>10% (77.9%) and complex karyotype (70.1%). Assignment to bi TP53 cluster was irrespective of blast count. Patients with monoallelic TP53 mutation segregated into other clusters. Hierarchically, the second cluster included patients with del(5q). SHAP analysis highlighted 5q deletion alone, or with one other chromosomal abnormality other than -7, and absence of bi TP53, as the most relevant features. Most of these patients had blast counts <5% (88.1%). The third distinct cluster included patients with SF3B1 mutations (in the absence of concurrent del(7q), abn3q26.2, complex karyotype or RUNX1 mutation). Most patients with MDS and SF3B1 mutation had <5% blasts (94.2%). Common co-mutated variants in the SF3B1 cluster included mutant DNMT3A (25.2%) and TET2 (38.3%). Morphologically defined MDS cases (i.e., not meeting criteria for bi TP53, del(5q) or SF3B1) were preferentially assigned to the following additional clusters: SF3B1 and concurrent higher-risk mutations (e.g., RUNX1 and ASXL1); SRSF2 and concomitant TET2 mutations; U2AF1 mutations with del(20q), del(7q) or -7; SRSF2 with TET2 mutations and co-mutational patterns including RUNX1 and ASXL1; and AML-like genomic signatures. Our analyses suggest that morphologically defined MDS is characterized by a large heterogeneity in terms of mutation profiles, not entirely captured by the presence of unilineage versus multilineage dysplasia, percentage of bone marrow blasts, and presence of hypocellularity and fibrosis. To better investigate the continuum between high risk MDS (i.e., patients with ≥10% blasts) and AML, an exploratory comparison was made using a cohort of AML (defined according to WHO 2016) patients analyzed using the same statistical methods. Only a partial overlap in genetic signatures was observed between MDS with ≥10% blasts and AML. However, similarities were observed between the AML-like MDS clusters (characterized by mutant NPM1, bZIP CEBPA, and Core Binding Factor abnormalities) and AML clusters defined by the same genetic signature, thus supporting the classification of these entities as AML, irrespective of blast count. Conclusion. Our study demonstrated the utility of a data-driven approach based on advanced statistical methods to generate a harmonized classification for MDS. Table 2 shows a provisional, hierarchical classification algorithm. Further refinement of entity labels and classification criteria is the subject of the ongoing modified Delphi Process consensus approach among icMDS experts.
Abstract LB_A12: Initial results from 2 Phase I studies of NMS-03305293, a selective PARP1 inhibitor
Geurts, Marjolein , Gramatzki, Dorothee , Merler, Sara , Duca, Matteo, Saturno, Grazia, Crivori, Patrizia, Montagnoli, Alessia, Mahnke, Lisa, Jaeckle, Kurt A. , Zhang, Jian , Shi, Yehui , Kizilbash, Sani H. , Milella, Michele Stanislaw , Damian, Silvia , Damian, Silvia , Kizilbash, Sani H , Girardi, Fabio , Sener, Uğur , Roberti, Domenico , Fu, Siqing , Gaviani, Paola , Zhang, Jian , Guarneri, Valentina , Weller, Michael , Bent, Martin J. van den

Molecular Cancer Therapeutics | December 1, 2023 | Volume: 22 | Issue: 12_Supplement | Pages: LB_A12-LB_A12

10.1158/1535-7163.targ-23-lb_a12 Get It

Abstract Background PARP-1 has a well-established role in DNA repair. PARP-1 selective inhibitors are a new subclass of PARPi that offer potential for improved tolerability. NMS-03305293 (NMS-293) is an oral, brain-penetrant PARP-1 selective inhibitor with strong antitumor activity in BRCA mutated preclinical models. Furthermore, NMS-293 is synergistic with temozolomide (TMZ) in glioblastoma mouse models. Methods Two phase I/I-II dose-escalation/expansion studies assessed safety, tolerability, and preliminary antitumor activity of NMS-293. Both are actively recruiting. In PARPA-293-001 (NCT04182516), NMS-293 was administered orally, ranging from 20 mg (QD) to 160 mg (BID) for 21 or 28 days on 28-day cycle in adult patients with advanced/metastatic, relapsed/refractory solid tumors who have exhausted standard treatment options. In PARPA-293-002 (NCT04910022), NMS-293 was administered in a range of doses orally, QD or BID on days 1-7 plus TMZ 150mg/m2 QD on days 1-5 in repeated 28-day cycle in adult patients with recurrent diffuse gliomas. Tumor responses were measured by investigator-assessed RANO criteria. Results The unpooled safety database at the data-cut-off (02-AUG-23), includes 45 patients in PARPA-001 and 21 patients in PARPA-002. PARPA-001 showed an MTD of 100 mg BID for 28 days on a 28-day cycle, a dose with meaningful PK relative to preclinical activity. PARPA-002 dose finding is ongoing with no DLTs as of cutoff date. The most frequent (≥10%) any-grade treatment related adverse events (TRAEs) in PARPA-001 were reversible QTcF prolongation, nausea, asthenia, decreased appetite and vomiting, mainly mild/moderate. In PARPA-002, with discontinuous NMS-293 plus TMZ, no G≥3 TRAEs were reported. The most frequent (≥10%) any-grade TRAEs were: nausea, fatigue, vomiting, decreased appetite, and platelet count decreased, mainly G1 adverse events. Overall, no dose-dependent trends of myelosuppression have been observed. 14 recurrent glioma patients across dose levels in PARPA-002 were evaluable for tumor response. A patient with glioblastoma had confirmed partial response (PR) with duration 7.6+ weeks, remaining on treatment at cutoff date. A patient with grade 3 IDH-mutant astrocytoma had unconfirmed PR with ongoing tumor shrinkage at 16.1+ weeks. A patient with glioblastoma had complete radiological disappearance of enhancing non-target lesions, remaining on treatment at cutoff date. NMS-293 PK profiles showed an increase in exposure with the dose with approximately 5 to 13 hours half-life. Conclusion NMS-293, a PARP-1 selective, brain penetrant inhibitor was well tolerated in phase I clinical trials with no dose dependent trends of myelosuppression. Furthermore, NMS-293 showed encouraging clinical activity in combination with TMZ in difficult-to-treat recurrent glioma patients. Citation Format: Marjolein Geurts, Dorothee Gramatzki, Sara Merler, Matteo Duca, Fabio Girardi, Ugur T. Sener, Domenico Roberti, Grazia Saturno, Patrizia Crivori, Alessia Montagnoli, Lisa Mahnke, Siqing Fu, Paola Gaviani, Kurt A. Jaeckle, Jian Zhang, Yehui Shi, Valentina Guarneri, Michael Weller, Sani H. Kizilbash, Martin J. van den Bent, Michele Milella, Silvia Damian. Initial results from 2 Phase I studies of NMS-03305293, a selective PARP1 inhibitor [abstract]. In: Proceedings of the AACR-NCI-EORTC Virtual International Conference on Molecular Targets and Cancer Therapeutics; 2023 Oct 11-15; Boston, MA. Philadelphia (PA): AACR; Mol Cancer Ther 2023;22(12 Suppl):Abstract nr LB_A12.
Abstract A076: Trial participation in pictures: Using photo elicitation to explore minority patients’ experiences on therapeutic cancer clinical trials
Asiedu, Gladys B. , Warsame, Rahma , O’Shea, Mary, Ellingson, Sara A., Price, Katharine A. , Kim, Yong-Hun

Cancer Epidemiology, Biomarkers & Prevention | December 1, 2023 | Volume: 32 | Issue: 12_Supplement | Pages: A076-A076

10.1158/1538-7755.disp23-a076 Get It

Abstract Background: Much has been published about barriers to research participation for under-represented minority (URM) yet we know little about the experiences, motivations, and decision-making of the URM patients who were successfully treated on clinical trial (CT). The purpose of this study is to draw on the experiences of URM patients as insiders of practical knowledge of CT through photo elicitation to comprehensively understand the current state of recruitment and treatment of URM patients on interventional cancer CTs across the Mayo Clinic enterprise with a short-term goal of informing mechanisms to enrich CT participation and a long-term goal of building a patient-centered cancer practice and clinical trial patient population that is reflective of the diverse communities served by Mayo Clinic. Method: An Appreciative inquiry approach was adapted for this study which acknowledges that existing strengths and everyday experiences of URM patients has the potential to allow a more nuanced view as it pertains to our cancer populations. A total of 138 URM were invited to participate. Using photo elicitation technique, patients were asked to take photographs to portray factors that motivated them and/or facilitated their enrollment, barriers to enrollment and recommendations to improve the process for CT recruitment for other URM. Participant-generated photographs (59) and accompanying 13 interview narratives were analyzed using layered analysis. Results: A total of 13 patients (female =9) participated in the photo interviews. URM detailed their overall experiences around CT participation, motivations for participating in clinical trials; facilitators to clinical trial participation; and opportunities and considerations for increasing minority patients CT participation. Photo analyses provided symbolic representation of patients’ general experiences around CT including celebrating their “new identity”, finding peace in moments of nostalgia, their journey through the trial, lost times and finances and yet finding a new purpose to live through CT participation. Importantly patients described decision making in CT participation as a relational approach. Patients suggested opportunities and considerations for increasing minority patients trial participation, which included minimizing logistical barriers, decentralizing cancer clinical trials, increasing awareness via patient narratives, diversifying research staff, minimizing cost, and being clear on purpose and benefit of the trial. Conclusion: Our study highlights the potential to utilize visual data and narratives from URM in CT recruitment and education programming. It provided valuable insights from the URM community for the URM community on key issues on motivations of CT participation and decision-making in CT participation. Citation Format: Gladys B. Asiedu, Rahma Warsame, Mary O’Shea, Yong-hun Kim, Sara A. Ellingson, Katharine A. Price. Trial participation in pictures: Using photo elicitation to explore minority patients’ experiences on therapeutic cancer clinical trials [abstract]. In: Proceedings of the 16th AACR Conference on the Science of Cancer Health Disparities in Racial/Ethnic Minorities and the Medically Underserved; 2023 Sep 29-Oct 2;Orlando, FL. Philadelphia (PA): AACR; Cancer Epidemiol Biomarkers Prev 2023;32(12 Suppl):Abstract nr A076.
BRAT1-Associated Leukodystrophy Exacerbated by Classic Hodgkin Lymphoma–Directed Therapy
Hooshmand, Sara , Chohan, Karan , Renaud, Deborah L. , Ruff, Michael W. , Chohan, Karan L , Hooshmand, Sara J , Raghunathan, Aditya

The Neurologist | November 29, 2023 | Volume: 29 | Issue: 3 | Pages: 170-172

10.1097/nrl.0000000000000539 | PMID 38019165 Get It

Introduction: BRCA1-associated ataxia-telangiectasia–mutated activator-1 (BRAT1) is responsible for cell cycle surveillance and mitochondrial function. The implications of adult-onset BRAT1-variant and the resulting phenotypic neurocognitive and imaging features have not been previously described. Case Report: A 66-year-old man with a recent diagnosis of classic Hodgkin lymphoma was referred to neuro-oncology for cognitive and motor decline, and progressive cerebral white matter changes noted on magnetic resonance imaging (MRI). A neurological examination revealed global weakness, broad-based gait, and bilateral extensor plantar responses. Brain MRI demonstrated periventricular, deep, and subcortical white matter T2/FLAIR hyperintensities without contrast enhancement. Cerebral spinal fluid studies were unremarkable. A GeneDX genetic leukodystrophy panel conduction revealed a pathogenic variant (c.294dupA; p.L99TfsX92) resulting in a truncated protein of BRAT1, along with a variant of uncertain significance (c.746A>G;p.E249G). A presumptive diagnosis of late-onset leukoencephalopathy secondary to the BRAT1 variant was made. In an attempt to combat his mitochondrial dysfunction, he was initiated on a mitochondrial cocktail, including B-100 complex and coenzyme Q10. He began lymphoma-directed combination chemotherapy and developed precipitous functional decline after 2 cycles of therapy. Compared with prechemotherapy imaging, repeat positron emission tomography/computed tomography metabolic imaging showed a response after 3 cycles of chemotherapy; however, repeat brain MRI showed worsening diffuse white matter hyperintensities and cerebral atrophy. Conclusion: Given the variability in phenotypes and clinical onset, leukodystrophies can be a diagnostic challenge. This case demonstrated progressive BRAT1-associated leukodystrophy exacerbated by chemotherapy-induced toxic leukoencephalopathy. Mitochondrial energy deficiency in the context of multiple metabolic insults was likely underlying the progressive neurological decline observed in this case of genetic leukodystrophy.
1261. Prospective Audit and Feedback Approach Differs between Antimicrobial Stewardship Professions
Ausman, Sara , Brown, Caitlin S. , Epps, Kevin , Kooda, Kirstin , Mendez, Julio, Ausman, Sara E , Mara, Kristin C. , Rivera, Christina G.

Open Forum Infectious Diseases | November 27, 2023 | Volume: 10 | Issue: Supplement_2 | Pages: No page available

10.1093/ofid/ofad500.1101 Get It

Abstract Background Implementing effective antimicrobial stewardship interventions is an important component of antimicrobial stewardship programs. Recently, stewardship research has shown that clinician characteristics may have an impact on antimicrobial stewardship intervention methods and acceptance rates. Methods A multisite health system antimicrobial stewardship prospective audit and feedback program interventions performed by stewardship staff using a standardized electronic medical record (EMR) tool were compared by stewardship clinician profession (pharmacist, physician, or advanced practice provider, APP) from 7/1/2017 to 6/30/2022. Outcomes assessed were intervention rates, communication methods, and intervention acceptance by patient age and intensive care unit (ICU) status of patient. Generalized estimating equations utilizing logistic regression were used to assess for associations between staff. Associations were assessed both univariately and after adjusting for other factors. Results Of 69,503 prospective audit and feedback EMR based rules, there were 14,699 rules associated with an intervention. The majority of rules were reviewed by pharmacists (90.7%) followed by physician (9.2%) and APP (< 1%). Of 9,034 interventions with an outcome documented, 7326 (85.5%) pharmacist interventions were accepted and 360 (77.3%) physician interventions were accepted (adjusted p=0.047). Pharmacists intervened by direct action (ie, adjust a medication order) in 6.6% of interventions; whereas, physicians did so rarely (0.4%). Pharmacists were more likely to use synchronous communication than physicians in the adjusted model (pharmacist vs. physician: 63.8% vs 52.5%; p=0.004). Patients in the ICU had a significantly lower intervention acceptance rate (non-ICU vs. ICU: 86.6% vs. 78.0%; adjusted OR 0.57 [95% CI 0.46-0.70], p< 0.001).Table 1.Intervention Rate by Baseline Demographics of Stewardship Clinicians and Patients. *% are reported as row % **Multivariable model was also adjusted for day of week and time of day APP-Advanced practice provider; ICU-intensive care unitTable 2.Intervention Acceptance. *% are reported as row % **Multivariable model was also adjusted for day of week and time of day APP-Advanced practice provider; ICU-intensive care unit Conclusion Antimicrobial stewardship pharmacists and physicians are both effective at prospective audit and feedback but used different intervention styles. Advanced practice providers were vastly underrepresented. Patients in the ICU may benefit from tailored ASP efforts. Disclosures Sara Ausman, PharmD, Gilead: Honoraria Caitlin Brown, PharmD, Alexion: Grant/Research Support|Trevena: Advisor/Consultant Christina G. Rivera (O'Connor), Pharm.D, Gilead Sciences: Advisor/Consultant|Gilead Sciences: Board Member|Gilead Sciences: Grant/Research Support|Gilead Sciences: Honoraria
318. Beta-lactam Therapeutic Drug Monitoring Improves Attainment of Target Drug Levels in Critically Ill Patients
Ausman, Sara , Braga, Shienna , Hagy, Natalie, Moreland-Head, Lindsay , Rebecca, Wessel, Saleh, Omar Abu , Gajic, Ognjen, Frazee, Erin N. , Ausman, Sara E , Rivera, Christina G. , Rule, Andrew D. , Gajic, Ognjen

Open Forum Infectious Diseases | November 27, 2023 | Volume: 10 | Issue: Supplement_2 | Pages: No page available

10.1093/ofid/ofad500.389 Get It

Abstract Background Critically ill patients, particularly those treated with extracorporeal devices or at extremes of weight, experience pharmacokinetic variability which can compromise beta-lactam (BL) antibiotic target attainment and treatment response. Therapeutic drug monitoring (TDM) for BL antibiotics can improve precision pharmacotherapy but has had limited implementation. The objective of this study was to evaluate the frequency of BL target attainment among adult intensive care unit (ICU) patients who underwent TDM. Methods This observational study evaluated adults treated with cefepime, piperacillin/tazobactam or meropenem in ICUs at the Mayo Clinic in Rochester, Minnesota who underwent TDM from June-September 2022. During the study timeframe, multidisciplinary teams were encouraged to perform BL TDM on patients requiring extracorporeal membrane oxygenation, continuous kidney replacement therapy, or at an extreme of body weight (weight < 40 kg or >120 kg or BMI < 18 kg/m2 or > 40 kg/m2). Percentage of patients with initial serum trough concentrations within the therapeutic range was calculated (Table 1). Results During the study timeframe, 59 trough concentrations were performed on critically ill patients, of which 5 were excluded due to uninterpretable results. Of the remaining 54 BL trough concentrations analyzed, 49 (91%) were initial troughs during the antibiotic course, and 5 (9%) were repeat troughs. Thirty-six (73%) of the initial trough concentrations were within the therapeutic range. Among the trough concentrations outside the therapeutic range, 10 (77%) were too high, and 3 (23%) were too low (Table 2). Dose adjustment occurred in 19 (39%) of initial trough evaluations, including 6 which were adjusted despite a level within the therapeutic range. All of the repeat trough concentrations drawn during the same antibiotic course were within the therapeutic range (n = 5/5; 100%). Conclusion One-fourth of initial BL trough concentrations were outside of the therapeutic range. BL levels outside the therapeutic range prompted dose adjustment to improve the potential for effectiveness or limit the potential for toxicity. BL TDM appears to be a promising strategy to enhance precision pharmacotherapy in the critically ill. Disclosures Sara Ausman, PharmD, Gilead: Honoraria Christina G. Rivera (O'Connor), Pharm.D, Gilead Sciences: Advisor/Consultant|Gilead Sciences: Board Member|Gilead Sciences: Grant/Research Support|Gilead Sciences: Honoraria