Raza, Shahzad

Introduction. Ciltacabtagene autoleucel (cilta-cel) and idecabtagene vicleucel (ide-cel), two anti-B-cell maturation antigen (BCMA) CAR T therapies, have demonstrated remarkable responses and improved survival among patients with relapsed/refractory multiple myeloma (RRMM) in the clinical trials and standard of care (SOC) setting. Here, we compare safety, efficacy, and survival for patients treated with SOC ide-cel and cilta-cel. Methods. Data were from a retrospective chart review of RRMM patients leukapheresed by 12/31/2022 with the intent to receive SOC ide- or cilta-cel at 19 institutions in the US Multiple Myeloma Immunotherapy Consortium. An inverse probability of treatment weighting (IPTW) approach was used to compare outcomes by therapy type (cilta- vs. ide-cel), balancing on age, sex, race and ethnicity, performance status, extramedullary disease, high-risk cytogenetics, prior BCMA therapy, bone marrow plasma cells, penta-refractory status, lymphodepleting chemotherapy, baseline ferritin, low cell dose, and bridging therapy response. Logistic regression and Cox proportional hazard models were used to examine the association of treatment type with safety, efficacy, and survival accordingly, while adjusting for IPTW weights. We employed propensity score matching utilizing the same covariates to identify the association of treatment type with progression-free survival (PFS) within relevant patient sub-groups. Results. A total of 641 patients were leukapheresed by 12/31/2022 with ide-cel (n=386) and cilta-cel (n=255). 586 patients were infused (n=350 for ide-cel; n=236 for cilta-cel) with a median follow-up of 13.0 and 12.6 months, respectively. After IPTW, patient characteristics were well-balanced. Patients treated with cilta-cel were more likely to have grade ≥ 3 cytokine release syndrome (CRS) (OR=5.52, 95% CI=1.76-17.30, p=0.004), infections (OR=2.07, 95% CI=1.44-2.97, p<0.001), and delayed neurotoxicity (NT) (OR=20.97, 95% CI=4.75-92.42, p<0.001) compared to patients treated with ide-cel. In the cilta-cel cohort, 24 patients (10%) experienced delayed NT compared to 2 patients (1%) in the ide-cel cohort. Although not statistically significant, patients treated with cilta-cel were more likely to have any second primary malignancies (SPMs) (OR=1.87, 95% CI=0.94-3.71, p=0.08) and any SPMs excluding non-melanoma skin cancers (OR=1.78, 95% CI=0.78-4.10, p=0.2) but no association was observed for odds of hematologic SPMs (OR=0.98, 95% CI=0.26-3.61). No association was observed for therapy type with any or severe immune effector cell-associated neurotoxicity syndrome, any CRS, severe cytopenias, and non-relapse mortality. Compared to ide-cel, cilta-cel was associated with better treatment responses of ≥ complete response (OR=2.38, 95% CI=1.61-3.51, p<0.001) and ≥ partial response (OR=1.74, 95% CI=0.99-3.05, p=0.06). Patients treated with cilta-cel had a longer PFS and overall survival (OS) than ide-cel (HR=0.47, 95% CI=0.35-0.62, p<0.001 and HR=0.63, 95% CI=0.42-0.93, p=0.02, respectively), and these findings were similar in the intention to treat cohort (PFS: HR=0.44, 95% CI=0.34-0.55, p<0.001; OS: HR=0.55, 95% CI=0.41-0.73, p<0.001, respectively). We observed consistent findings when repeating the analyses restricting the ide-cel cohort to patients infused during the same time-period as FDA approval for cilta-cel (≥ March 2022), restricting to patients with data on all covariates, and restricting to sites that contributed data for both products. In a propensity matched population, (n=380; n=190 for cilta-cel and n=190 for ide-cel), patients treated with cilta-cel had superior PFS compared to those treated with ide-cel in most subgroups with respect to age and disease characteristics including extramedullary disease, high-risk cytogenetics, and elevated baseline ferritin (p<0.05). Conclusion. Our results suggest superior efficacy of cilta-cel with a higher incidence of certain toxicities compared to ide-cel in the SOC setting. This study provides valuable information for patient counseling and guiding the selection of CAR T-cell therapy for specific patient populations. Further validation through similar large-scale real-world experiences or prospective studies is needed to confirm our results and enhance applicability in the clinical setting. *DH, LP, & DD are co-first authors * YL, KP, & SS are co-last authors

Background: Tec is a BCMA-directed bispecific antibody (BsAb) approved for RRMM after ≥4 prior lines of therapy (LOT) based on the MajesTEC-1 trial. However, patients who had previously received a BCMA-DT were excluded from MajesTEC-1. Herein, we evaluated outcomes of RRMM patients with prior exposure to BCMA-DT treated with standard-of-care Tec. Methods: This was a multicenter retrospective cohort study. We compared variables between different groups using Chi-squared and Kruskal-Wallis tests, and assessed progression free survival (PFS) and overall survival (OS) using Kaplan Meier and Cox proportional hazards model. We used the maximally selected rank statistics method to determine the optimal cut-off point for continuous variables to find the most significant difference in PFS among different groups. Results: A total of 385 patients were included in this study. 193 patients had received a prior BCMA-DT, of whom 77%, 22%, and 1% had received 1, 2, and 3 prior anti-BCMA agents, respectively. In patients who had received a prior BCMA-DT, 35% were aged ≥70 years, 24% had ECOG performance status (PS) ≥2, 61% had high-risk FISH, 32% had extramedullary disease (EMD) at Tec initiation, and 42% were penta-refractory. Compared to the cohort without prior BCMA-DT (n=192), patients who were treated with prior BCMA-DT were more likely to have high risk FISH (61% vs 49%, p=0.02), and higher median number of prior LOT (7 vs 5, p <0.001). The specific types of prior BCMA-DTs with the respective overall response rate (ORR) to the most recent prior BCMA-DT were: antibody drug conjugate only (ADC, n=47, ORR 43%), chimeric antigen receptor T-cell therapy only (CAR T, n=99, ORR 86%), BsAb only (n=6, ORR 100%), ADC + CAR T (n=36, ORR 56%), and other ADC/CAR T/BsAb combinations (n=5, ORR 60%). Median follow up was 9.9 (95% CI:9.5-10.6) months. Patients with prior receipt of BCMA-DT had a lower ORR (51.4% vs 61.5%; p=0.012) and ≥very good partial response rate (39.4% vs 52.6%, p=0.009), but similar ≥complete response rate (22.3% vs 24%; p=0.78) to Tec compared to those without prior BCMA-DT. Moreover, patients with prior BCMA-DT had worse median PFS compared to patients without prior BCMA-DT (prior BCMA-DT: 4.6 months, 95% CI: 2.7-7.5; without prior BCMA-DT: 8.2 months, 95% CI: 5.7-12.2; p=0.017). On multivariable analysis incorporating prior BCMA-DT, age, cytogenetics, EMD, and ECOG PS, receipt of prior BCMA-DT was not independently associated with PFS (HR 1.25, 95% CI 0.95-1.64, p=0.1). The estimated 1-year OS rate was 58.9% (95% CI: 51.64-67.2) for the prior BCMA-DT group vs 65.1% (95% CI: 58.1-73.1) for the group without prior BCMA-DT, p=0.16. For the prior BCMA-DT cohort, response rates to Tec were numerically higher in patients who received CAR T (ORR 51.2%) followed by ADC (ORR 45.5%), and bispecific (ORR 30%) as their most recent prior BCMA-DT (p=0.39). No significant difference in PFS was noted when stratifying patients by number of prior BCMA-DTs, types of all prior BCMA-DTs received, type of most recent prior BCMA-DT, or depth of response to most recent BCMA-DT. Patients who responded to Tec had a numerically longer median time from most recent BCMA-DT exposure to Tec initiation compared to non-responders: 10.5 vs 7.5 months, p=0.48. We found that the optimal cut-off for time from last BCMA-DT exposure to Tec initiation was 8.7 months. Patients with > 8.7 months between last exposure to prior BCMA-DT and Tec initiation had a superior median PFS with Tec (8.1 months, 95% CI: 4.6-11.7) compared to patients with < 8.7 months from last exposure to prior BCMA-DT (2.5 months, 95% CI: 1.1-5.7), p=0.001. The toxicity profile for patients with prior BCMA-DT was similar to those who had not received a prior BCMA-DT. Grade ≥2 CRS occurred in 8.7% vs 13% (p=0.18), and grade ≥2 ICANS in 7.7% vs 6.7%, (p=0.85) of patients with and without prior BCMA-DT, respectively. Patients in the prior BCMA-DT cohort were more likely to have grade 3 thrombocytopenia in the first 30 days after Tec initiation (10.7% vs 6.6%; p=0.08). Conclusion: This is the largest study to date of any BCMA-directed BsAb among BCMA-exposed patients. Receipt of prior BCMA-DT was associated with a trend toward worse PFS, although not statistically significant, and lower likelihood of attaining an overall response. Waiting >9 months between sequencing BCMA therapies may be associated with improved PFS. D.D., M.A.V.M., J.A.D: co first authors; F.A., C.F., L.S.: co senior authors

Introduction: Tissue biopsies are needed to establish a diagnosis of systemic AL amyloidosis. Biopsy can be obtained from an involved organ with suspected amyloid deposition (target biopsy) or from sites in which amyloid commonly deposits (surrogate biopsy). The choice of biopsy site depends on institutional and physician preference. Two commonly used sites for surrogate biopsies are abdominal fat pad and bone marrow. The present systematic review and meta-analysis aims to evaluate the diagnostic test accuracy of fat pad and bone marrow biopsies as surrogate biopsy sites in the diagnosis of AL amyloidosis. Methods: As part of the ASH AL Amyloidosis Diagnostic Guideline, we performed systematic reviews for seven prioritized PICO questions related to the screening, diagnosis and organ involvement evaluation of AL amyloidosis. We conducted electronic searches on PubMed, Embase, and the Cochrane Central Register of Controlled Trials from inception until January 2024. Two reviewers independently and in duplicate performed title and abstract screening and full text article screening on LASER AI, with conflicts resolved by a third reviewer. Studies were eligible if they included patients that had a fat pad sample or bone marrow biopsy and a target organ biopsy for suspicion of AL amyloidosis allowing for the calculation of diagnostic test accuracy measures. Diagnostic test accuracy measures of interest were sensitivity, specificity, positive and negative predictive value. Statistical analysis was performed on OpenMeta[Analyst]. Grading of Recommendations Assessment, Development and Evaluation (GRADE) was used to assess the certainty of evidence. Results: After deduplication, we retrieved 29,237 studies.. 20 studies with 2955 patients reporting on bone marrow biopsy, 25 with 4702 patients on fat pad sampling were included. The pooled sensitivity for bone marrow biopsy was 55.1% (95% CI 45.8-64.0, I2 = 94%) (Certainty of evidence: Low ⨁⨁◯◯), For fat pad sampling sensitivity was 76.6% (95% CI 72.1-80.8, I2 = 84.2%) (Certainty of evidence: Moderate ⨁⨁⨁◯). Among the included studies, 1 evaluated the sensitivity of fat pad sampling and bone marrow biopsy combined and found it to be 89%. No included studies evaluated specificity for bone marrow biopsy or fat pad sample. Conclusion: Combination of fat pad and bone marrow biopsy together significantly improve sensitivity for amyloid detection compared to either fat pad sampling or bone marrow biopsy alone.

Introduction: Anti-BCMA CAR-T therapies like idecabtagene vicleucel (ide-cel) and ciltacabtagene autoleucel (cilta-cel) have revolutionized RRMM treatment. However, the 6-8-week manufacturing period often leads to disease progression and/or death in up to 25% of patients (pts), necessitating effective bridging strategies. Talquetamab (talq), a bispecific antibody targeting GPRC5D, is approved for RRMM pts with four prior lines of therapy and offers rapid disease debulking without impacting BCMA. This study assesses the safety and efficacy of a short course of talq as a bridging therapy for pts receiving cilta-cel or ide-cel. Methods: This multicenter retrospective study involved 14 US academic medical centers within the US Multiple Myeloma Immunotherapy Consortium. We included pts with RRMM who underwent leukapheresis and received talq bridging therapy with the intent to proceed to commercial cilta-cel or ide-cel. We assessed the safety, feasibility, and efficacy of talq bridging therapy. Safety outcomes included cytokine release syndrome (CRS), immune effector cell-associated neurotoxicity syndrome (ICANS), talq-related unique toxicities, and delayed neurotoxicity (NT). Efficacy outcomes included response rates to talq and CAR-T therapies. Results: Between June 2023 and May 2024, 77 pts received talq bridging therapy after apheresis with the intention to proceed to CAR-T. The median age was 66 years (range, 58-73); 14% were Black and 10% Hispanic. Poor prognostic features, including high-risk cytogenetics, were present in 45%, extramedullary disease (EMD) in 43%, and 72.7% were triple-class refractory. The median number of prior lines of therapy was 5 (range 3-11) and 10 pts (13%) had prior BCMA targeted therapy. Out of 77 pts, 10 pts were pending CAR-T infusion at the time of last follow up; 6 pts could not receive CAR-T infusion due to manufacturing failures. Of the remaining 61 patients who underwent successful CAR-T manufacturing, 58 (95%) pts were successfully infused with CAR-T therapy following talq bridging. Three (5%) pts died due to disease progression prior to CAR-T infusion. Talq was given 0.8 mg/kg biweekly in 59 (76%) pts and the median time on talq was 22 days (IQR: 10-41 days). Following talq bridging, none of the pts had grade >=3 CRS and 2 (2.5%) had grade 3 ICANS. Skin toxicities occurred in 32 (41%), nail toxicities in 19 (25%), and oral toxicities in 43 (56%) pts mainly grade 1. Most oral, skin, and taste changes resolved at the last follow-up (60%). Response to talq was evaluable in 72 out of 77 patients. An overall response was noted in 45/72 (62%) pts including unconfirmed CR in 14, VGPR in 10 and PR in 21 pts. There was no association of AEs and response to talq with high-risk cytogenetics, EMD and high baseline ferritin levels. Out of the 58 patients who went on to receive CAR-T therapy following talq bridging (45 cilta-cel and 13 ide-cel), 38 (65%) experienced CRS, with grade 3 CRS noted in 2 (3%) pts. ICANS occurred in 5 (8.6%) pts, with 1 (1.7%) grade 3 ICANS. Only 1 pt had delayed NT (facial nerve palsy) at the last follow up. No treatment related deaths were observed. Of these 58 pts, response was evaluable in 40 pts and a response at day +30 was noted in 39/40 (97.5%) pts (14 in CR, 10 in VGPR, 15 in PR). The median follow-up from CAR-T was 61 days (28-113). For the 58 pts who received CAR-T, the median time from the last talq dose to CAR-T infusion was 25 days (IQR: 19-36), and to lymphodepletion was 24 days (IQR: 18-33). There was no difference in the CAR-T related AEs by the duration of Talq washout (>4 weeks vs. =< 4 weeks). Conclusions: Talquetamab is an excellent bridging option before BCMA-targeted CAR-T therapy, showing high response rates even with short-term use and enabling most pts to receive CAR-T. Most oral, skin, and taste changes resolved post CAR-T. These findings underscore the effectiveness of a short course of talq bridging to maintain disease control and improve outcomes post CAR-T. Updated data with longer follow-up will be presented at the meeting.

The use of 4-drug induction regimens for treatment naïve newly diagnosed multiple myeloma (NDMM) is associated with improved depth of response and progression-free survival (PFS). However, head-to-head trials of 4-drug combinations are lacking, and instead, these regimens are typically compared to 3-drug backbones; limiting the ability to discern whether any additional benefit (or toxicity) is simply additive or represents a synergy (or interaction). We conducted a meta-analysis of phase 2 and phase 3 clinical trials that randomized treatment naïve NDMM patients to either a 4-drug or 3-drug induction regimen. We included 11 trials which represented 6509 unique patients. PFS for all trials in the meta-analysis was 54 months with a 4-drug induction and 8.9 months with a 3-drug induction (HR: 0.49; 95% CI: 0.45; 0.54), but there was no benefit to using a 4-drug induction that did not include an anti-CD38 antibody (PFS 4-drug 8.1 months, PFS 3-drug 8.0 months; HR 0.95; 95% CI 0.86; 1.06). Adverse events were more frequent with the quadruplet regimens but were predominately mild. High-grade (≥3) adverse events (AEs) that were more common with 4-drug regimens were infections (RR: 1.34; 95% CI 1.17; 1.54) and thrombocytopenia (RR: 1.39; 95% CI 1.12; 1.74). This study suggests that 4-drug induction regimens which include an anti-CD38 antibody improve efficacy although with additional toxicity in NDMM patients.

Introduction: In many cases, treatment decisions for multiple myeloma patients must be made in the absence of high quality randomized controlled clinical trials. As a result, many clinicians lean on prognostic models to drive treatment selection. The most widely used of these models incorporate a limited number of patient related factors that reflect tumor burden, cytogenetic features, or gene expression profiling. These prediction scores are derived from regression models that incorporate these variables at the time of diagnosis. They do not account for variables that change dynamically over time, do not explore the relationship between treatment selection and progression, and imperfectly predict survival outcomes. We designed a prognostic model based on an ensemble machine learning platform to predict progression in NDMM using Extreme Gradient Boosting Machine (XGBoost) combined with accelerated failure time modeling for survival analysis. Methods: We utilized a large retrospective data set containing treatment and response information for 1127 patients with newly diagnosed multiple myeloma (NDMM) treated at the Cleveland Clinic Foundation between 2000 and 2023. Following data preprocessing based on data completeness, 953 patient records were included in our training, testing, and cross validation datasets. For the purposes of our analysis, the initial dataset was randomly split into training (70%), testing (15%) and validation (15%) subsets at the patient level. We also defined the lower and upper bounds for each subset, which is critical due to the right-censored nature of survival data. Hyperparameters for XGBoost were optimized using Bayesian search, minimizing the negative log-likelihood. A random forest method was applied for the imputation of missing data (MissForest). We then trained the XGBoost model using GPU acceleration for enhanced computational efficiency. Finally, a log-rank test on predicted survival times was used to test the model's performance on patients with and without known progression. Results: Our preprocessed data set had 953 patients with a mean age at disease onset of 65 years and a slight male predominance (55%). Approximately 27% of patients harbored high cytogenetic risk disease and 3.5% of the cohort presented with extramedullary disease a diagnosis. At a median follow up of 35 months, 47% of patients had experienced disease progression or death. Induction therapy included an immunomodulatory drug in 40% of patients and proteasome inhibitors in 22%. Frontline autologous stem cell transplantation followed induction in 28% of patients. Median progression free survival in the overall data set was 44 months. These features were consistent across the randomly assigned training, testing, and validation cohorts. Following data preprocessing, 34 independent clinical and genomic variables including selection of first line treatment were assessed as model inputs each available record. Under optimized parameters, the model was trained with a maximum tree depth = 7 and a learning rate ~ 0.22 for the desired output of progression free survival (PFS). We then queried PFS for both the training and validation sets and divided patients into those known to have progressed and those without a progression event. Survival analysis was undertaken using predicted PFS values for patients known to have progressed and those who remained progression free. For the validation data set, our model successfully discerned between progressed and non-progressed cases (log-rank test statistic = 22.07, p < 0.005) (Figure 1). Discussion: We present a machine learning approach based on regularized gradient boosting that accurately discerns between patients who experience progression and those who remain progression free at a median ~35 months of follow-up in a large retrospective data set in patients presenting with NDMM. Further elaboration of our model will allow for the incorporation of large amounts data to predict survival outcomes on the basis of dynamic variables such as depth of response and treatment selection. With the ability to parse outcomes among multiple myeloma patients at high resolution, future clinicians and clinical trialists may be able to overcome limitations in trial design and patient-level therapy selection for both newly diagnosed and relapsed patients.

Abstract Introduction: Incidence of secondary malignant neoplasm in patients with chronic lymphocytic leukemia (CLL) is already established. Genetic predisposition has been considered to be a possible contributory factor for the preponderance of second cancers in this population. In the present study, we examined the frequency, characteristics, and clinical outcomes of secondary malignancies in patients with CLL based on their Interphase fluorescence in situ hybridization (FISH) panel. Methods: We reviewed the medical records of consecutive patients with CLL observed or treated at Ellis Fischel Cancer Center during the period from 2007-2014. We collected demographic data, CLL Rai stage, treatment history, Interphase fluorescence in situ hybridization (FISH) panel results and the presence of a secondary malignancy (skin cancers, solid tumors and hematologic malignancy excluding CLL transformation).Our aim was to investigate the association between secondary malignancy and chromosomal abnormalities and other risk factors using Chi2test for categorical variables and Wilcoxon rank-sum test for continuous variables. Cox proportional hazard models and logistic regression models were used to evaluate risk factors of developing secondary malignancy and overall survival. Results: We identified 142 CLL patients who were either observed (n=62) or had a history of treatment (n=80) for CLL. 67% were male and 33% were female. 85% of patients were Caucasians, 10% African Americans, and 5% other. Familial CLL was present in 6% of cases. 51% of patients were non-smokers. 5% of patients had cancers preceding the diagnosis of CLL (non-melanoma skin cancers=3, melanoma=1, Hodgkin's lymphoma=1, Prostate=2). 28% of patients developed secondary malignancies after the diagnosis of CLL; among them non-melanoma skin cancers were the most common (78%), followed by cutaneous melanoma (9.5%) and papillary thyroid cancer (4.7%). Other malignancies included lung (2.3%), kidney (2.3%), prostate (2.3%) and ocular melanoma (2.3%). 12% patients had aggressive non-melanoma recurrent skin cancers that require multiple treatments along-with systemic therapy for progressive CLL. CLL-FISH panel at diagnosis was available in 98 patients. Among these patients,13q deletion was present in 45%. Within the 13q deletion group, secondary malignancy was noted in 50% during a median follow up of 7 years. All cases of papillary thyroid cancers were also present in 13q deletion. In contrast, 11q deletion was detected in 15% and trisomy 12 in 18% of patients with incidence of secondary malignancy 40% and 10%, respectively. No solid malignancy other than skin was identified in the 11q deletion and trisomy 12 groups. 17p deletion was present in 5% of cases and 60% of 17p deletion cases had secondary cancers (skin 80%). Normal FISH panel was present in 17% cases and 20% of normal FISH had secondary malignancy (solid 10%, skin 10%). The median overall survival time is 6 years for the entire cohort (IRQ: 3-9 years). Secondary malignancy was associated with worse overall survival (OS) (HR=0.57, 95% CI:0.33-0.98, p=0.04) compare to patients who did not have secondary malignancy. The risk of secondary malignancy is increased in patients with advanced age (OR=1.05, 95% CI:1.00-1.10, p=0.04) and in those who were treated with alkylating agent for CLL OR=6.62, 95% CI:2.08-21.03, p=0.001. However, there were no significant difference on risk of developing secondary malignancy based on specific chromosomal FISH result, Rai stage, smoking, family history and gender. Conclusion: Secondary malignancies are frequent in patients with detectable chromosome abnormality on FISH panel. However, the increased risk of secondary malignancy does not correlate with specific cytogenetic abnormality. Non melanoma skin cancers are exceedingly common in CLL patients and carries aggressive couse in progressive CLL patients. Larger studies are required to identify subtype of CLL based on integrated mutational and cytogenetic subgroup that are at increased risk of specific secondary malignancies. Disclosures No relevant conflicts of interest to declare.

Abstract Background: Tyrosine kinase inhibitors (TKI) are associated with marked improvements in molecular response and survival compared with previous therapies for patients with chronic myelogenous leukemia (CML) in chronic phase (CP). We previously reported efficacy and safety of TKI at 12-month follow-up (Firwana et. al.JCO. 2014; 32(15_suppl): 7054). Here, we summarize the evidence of TKI efficacy and safety of TKI, comparing them directly and in-directly, in the mature follow-up for patients with newly diagnosed CP-CML. Methods: We included randomized controlled trials (RCTs) evaluating TKI in adults with newly diagnosed CP-CML. TKI (imatinib, dasatinib and nilotinib) were included if used as an initial treatment. Studies on bosutinib were excluded as it is only approved in the US for the treatment of CP-CML after failure of initial therapy. Studies that included patients with accelerated- or blast-phase CML, intolerant or resistant patients to first-line treatment, those on IFN-α, older agents or stem cell transplantation were excluded. Main outcomes are efficacy, represented by major molecular response (MMR, ≤ 0.1% BCR-ABLIS) and deeper molecular responses (MR4.5, ≤ 0.0032%IS), survival, represented by overall survival (OS) and progression free survival (PFS), and safety represented by medication discontinuation rate due to adverse events. Latest period of reporting outcome data were considered. As available trials provides direct comparison with imatinib, with no head-to-head trials to compare other TKI, we conducted a mixed treatment comparison (MTC) analysis which pools evidence from direct and indirect comparisons to facilitate simultaneous inference regarding all treatments. Bayesian mixed-treatment comparison method was used to rank TKI in terms of effectiveness. Results: Four landmark trials reported in 15 published articles and conference abstracts were identified involving 1647 patients with CP-CML. Follow-up times ranged from 3 months to 6 years. Table-1 depicts the results of MTC for imatinib, dasatinib and nilotinib. MTC analysis demonstrated superiority of both nilotinib and dasatinib over imatinib in terms of efficacy and safety. Nilotinib ranked first in efficacy with better improvement in MMR and MR4.5 at 48-month follow-up despite its different regimens, followed by dasatinib. Dasatinib has the highest medication discontinuation rate due to adverse events or drug-related toxicity. Among TKI, nilotinib was found to have the best survival profile; however, it was statistically nonsignificant. Conclusion: Both nilotinib and dasatinib are associated with significantly better efficacy and safety profiles compared to imatinib. At 48-month follow-up period, nilotinib ranked first to achieve MMR and MR4.5, with lower discontinuation rate due to adverse events. This analysis shows that new generation TKI are not only showing faster response, but also maintaining a more potent one through longer follow up period. It is important to note out that MTC is not a substitute for well conducted RCTs investigating direct comparisons. Table-1: Results of mixed treatment comparison for imatinib, dasatinib and nilotinib using fixed-effect Bayesian method. Comparison Mean risk difference (95% CrI) compared to from reference standard (Imatinib) Rank* MMR MR 4.5 PFS OS Discontinuation due to adverse events 48 months 48 months 36 months 48 months 48 months Imatinib Reference Reference Reference Reference Reference 4 Dasatinib 0.62 (0.26 to 1.01) 0.32 (-0.05 to 0.69) 0.21 (-0.43 to 0.85) 0.17 (-0.49 to 0.83) 0.59 (-0.05 to 1.25) 3 Nilotinib 300 0.92 (0.56 to 1.28) 0.81 (0.45 to 1.18) 1.02 (0.24 to 1.86) 0.19 (-0.51 to 0.89) -0.11 (-0.66 to 0.43) 1 Nilotinib 400 0.76 (0.41 to 1.12) 0.68 (0.31 to 1.05) 0.05 (-0.57 to 0.65) 0.81 (0.01 to 1.67) 0.30 (-0.20 to 0.81) 2 *Reported rank is valid for all outcomes, except for PFS and OS, where Nilotinib 400 ranks #1 and Nilotinib 300 ranks #2. Also, for rate of medication discontinuation due to adverse events, Dasatinib has the highest rate for discontinuation, followed by Nilotinib, both doses. Abbreviations: CrI, credible intervals; MMR, major molecular response, BCR-ABLIS ≤ 0.1%; MR4, deeper molecular responses, BCR-ABLIS ≤ 0.0032%; PFS, progression free survival; OS, overall survival. Disclosures No relevant conflicts of interest to declare.

Tyrosine kinase inhibitors (TKI) are the initial treatment for majority of newly diagnosed patients with chronic myelogenous leukemia (CML) in chronic phase (CP) and are associated with marked improvement in hematological, cytogenetic, molecular response and survival rates compared with other therapies. In this review, we summarize the evidence of TKI efficacy for patients with newly diagnosed CP‐CML. Six trials at low risk of bias evaluating TKIs as an initial treatment in adults with newly diagnosed CP‐CML and enrolling 2,456 patients were included. Follow‐up times ranged from a median of 3 months to 5 years. Direct comparison showed statistically higher rates of major molecular response (MMR ≤ 0.1%IS) achievement with second‐generation TKIs at 12 months which was sustained throughout treatment period. Bayesian mixed‐treatment comparison (MTC) analysis demonstrated superiority of both nilotinib and dasatinib over imatinib in terms of efficacy. Nilotinib was associated with higher deeper molecular responses (MR4.5 ≤ 0.0032%IS) at 60 months than dasatinib but no difference in MMR. The differences between nilotinib and dasatinib are likely clinically trivial. Among TKIs, nilotinib was found to have the best survival profile. Both nilotinib and dasatinib are associated with significantly better MMR compared to imatinib that is sustained over 60 months. This analysis shows that new‐generation TKIs are not only showing faster response but also maintaining a more potent one through longer follow‐up period. It is important to note out that MTC is not a substitute for well‐conducted RCTs investigating direct comparisons.