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AbstractEfforts to produce adoptive cell therapies in AML have been largely unfruitful, despite the success seen in lymphoid malignancies. Identifying targetable antigens on leukemic cells that are absent on normal progenitor cells remains a major obstacle, as is the hostile tumor microenvironment created by AML blasts. In this review, we summarize the challenges in the development of adoptive cell therapies such as CAR-T, CAR-NK, and TCR-T cells in AML, discussing both autologous and allogeneic therapies. We also discuss methods to address myelotoxicity associated with these therapies, including rapidly switchable CAR platforms and CRISPR-Cas9 genetic engineering of hematopoietic stem cells. Finally, we present the current clinical landscape in these areas, along with future directions in the field. [ABSTRACT FROM AUTHOR]

Background: Given the geographical sparsity of Rare Diseases (RDs), assembling a cohort is often a challenging task. Common data models (CDM) can harmonize disparate sources of data that can be the basis of decision support systems and artificial intelligence-based studies, leading to new insights in the field. This work is sought to support the design of large-scale multi-center studies for rare diseases. Methods: In an interdisciplinary group, we derived a list of elements of RDs in three medical domains (endocrinology, gastroenterology, and pneumonology) according to specialist knowledge and clinical guidelines in an iterative process. We then defined a RDs data structure that matched all our data elements and built Extract, Transform, Load (ETL) processes to transfer the structure to a joint CDM. To ensure interoperability of our developed CDM and its subsequent usage for further RDs domains, we ultimately mapped it to Observational Medical Outcomes Partnership (OMOP) CDM. We then included a fourth domain, hematology, as a proof-of-concept and mapped an acute myeloid leukemia (AML) dataset to the developed CDM. Results: We have developed an OMOP-based rare diseases common data model (RD-CDM) using data elements from the three domains (endocrinology, gastroenterology, and pneumonology) and tested the CDM using data from the hematology domain. The total study cohort included 61,697 patients. After aligning our modules with those of Medical Informatics Initiative (MII) Core Dataset (CDS) modules, we leveraged its ETL process. This facilitated the seamless transfer of demographic information, diagnoses, procedures, laboratory results, and medication modules from our RD-CDM to the OMOP. For the phenotypes and genotypes, we developed a second ETL process. We finally derived lessons learned for customizing our RD-CDM for different RDs. Discussion: This work can serve as a blueprint for other domains as its modularized structure could be extended towards novel data types. An interdisciplinary group of stakeholders that are actively supporting the project's progress is necessary to reach a comprehensive CDM. Conclusion: The customized data structure related to our RD-CDM can be used to perform multi-center studies to test data-driven hypotheses on a larger scale and take advantage of the analytical tools offered by the OHDSI community. [ABSTRACT FROM AUTHOR]

Multiple myeloma is a heterogeneous disease with a prognosis that varies with patient factors, disease burden, tumor biology, and treatments. Certain molecular abnormalities confer a worse prognosis and thus are considered high-risk. These include t(4;14), del(17p), t(14;16), t(14;20), hypodiploidy, and gain(1q)/del(1p). In our previous review in 2013, we discussed the effect of available therapies on prognosis in these high-risk patients. Since then, seven phase 3 clinical trials in relapsed myeloma with 1 to 3 lines of therapy have been conducted, resulting in the approval of panobinostat, ixazomib, daratumumab, and elotuzumab, as well as additional data on carfilzomib. In our current review of these studies, all the novel therapies resulted in an improvement in progression-free survival for high-risk patients, but none of the trials provided clear statistical evidence that they overcame high-risk status. Moreover, there are several limitations in the currently available data. For example, the patients Revised International Staging System score is generally not reported, and even when it is reported, it is usually at the time of initial diagnosis rather than at the time of study entry. Furthermore, the methodology used to determine risk suffers from technologic issues. Finally, the clonal and allele burden and concurrent molecular abnormalities can affect risk status and prognosis. To determine the optimal therapy for high-risk patients, future clinical trials should provide standardized risk assessments for all patients in addition to hazard ratios for Kaplan-Meier survival curves of high-risk patients vs those of standard-risk patients to determine if high-risk status has truly been overcome by a novel agent.

Introduction: Central nervous system (CNS) involvement in acute myeloid leukemia (AML) can be successfully treated with intrathecal chemotherapy and carries debatable prognostic impact. However, patients with CNS involvement are commonly excluded from clinical trials at an unknown rate. We systematically evaluated exclusion criteria of AML clinical trials based on CNS involvement and determined associations with clinical trial characteristics. Methods: The National Institutes of Health Clinical Trials Registry was searched for interventional adult AML trials between 2012 and 2022 that were phase 1, 2, or 3 and relevant trial characteristics were extracted. Results: 1,270 trials were included in the analysis with 790 trials (62.1%) explicitly excluding CNS involvement. There was no significant change in rates of CNS exclusion over the past decade. CNS exclusion was higher in trials that included the non-transplant population compared to trials exclusive to the transplant population (66.9% vs. 43.8%, p < 0.01). Non-transplant trials were also more likely to exclude patients with a history of or ambiguous timing of CNS involvement (p < 0.01). Phase 3 trials were associated with more liberal definitions of CNS exclusion (history or ambiguous timing) as compared to phase 1 and 2 trials that had higher rates of excluding patients with only active CNS involvement (p < 0.01). Conclusion: A majority of AML clinical trials, particularly in the non-transplant setting, exclude patients with CNS involvement. Many of these trials, most notably phase 3 trials, exclude patients not only with active but also with any history of CNS involvement. Further research is needed to determine optimal management of these patients in order to increase representation in large clinical trials. [ABSTRACT FROM AUTHOR]

The Philadelphia chromosome-negative myeloproliferative neoplasms (Ph-MPNs) are a heterogeneous group of clonal hematopoietic malignancies that include polycythemia vera (PV), essential thrombocythemia (ET), and the prefibrotic form of primary myelofibrosis (prePMF). In this study, we retrospectively reviewed the karyotypes from conventional cytogenetics (CC) and array Comparative Genomic Hybridization + Single Nucleotide Polymorphism (aCGH + SNP) in patients with ET or prePMF to determine whether the combined analysis of both methodologies can identify patients who may be at a higher risk of disease progression. We performed a comprehensive genomic review on 169 patients with a clinical diagnosis of ET (154 patients) or prePMF (15 patients). Genomic alterations detected by CC or array-CGH + SNP were detected in 36% of patients. In patients who progressed, 68% had an abnormal genomic finding by either technology. There was a shorter progression-free survival (PFS) among patients who were cytogenetically abnormal or who were cytogenetically normal but had an abnormal aCGH + SNP result. Leveraging the ability to detect submicroscopic copy number alterations and regions of copy neutral-loss of heterozygosity, we identified a higher number of patients harboring genomic abnormalities than previously reported. These results underscore the importance of genomic analysis in prognostication and provide valuable information for clinical management and treatment decisions. [ABSTRACT FROM AUTHOR]

Myeloproliferative neoplasms (MPNs) that lack the classical "driver mutations," termed triple negative MPNs, remain a poorly understood entity. Despite considerable progress toward understanding MPN pathobiology, the mechanisms leading to the development of these MPNs remains inadequately elucidated. While triple negative primary myelofibrosis (TN-PMF) portends a poor prognosis, triple negative essential thrombocythemia (TN-ET) is more favorable as compared with JAK2 mutated ET. In this review, we summarize the clinical features and prognosis of TN-PMF and -ET as well as diagnostic challenges including identification of non-canonical driver mutations. We also discuss additional molecular drivers to better understand possible pathogenic mechanisms underlying triple negative MPNs. Finally, we highlight current therapeutic approaches as well as novel targets, particularly in the difficult to treat TN-PMF population. [ABSTRACT FROM AUTHOR]