Importance of targeted therapies in acute myeloid leukemia

2021 ◽  
pp. 107-133
Author(s):  
Ajit Kumar Rai ◽  
Neeraj Kumar Satija
Cancers ◽  
2021 ◽  
Vol 13 (18) ◽  
pp. 4698
Author(s):  
Francesco Lanza ◽  
Ali Bazarbachi

Acute myeloid leukemia (AML) is a clonal disorder resulting from acquired somatic mutations in hematopoietic progenitor cells that lead to the dysregulation of differentiation and the proliferation of hematopoietic cells [...]


Author(s):  
Catherine C. Smith ◽  
Neil P. Shah

Overview: Small molecule kinase inhibitors of BCR-ABL in chronic myeloid leukemia (CML) and of FMS-like tyrosine kinase 3 internal tandem duplication (FLT3-ITD) in acute myeloid leukemia (AML) have been successful at achieving remissions in these diseases as monotherapy, but these leukemias do not initially respond in a subset of patients (primary resistance) and they progress in an additional group of patients after an initial response (secondary resistance). Resistance to these agents can be divided into mechanisms that allow reactivation kinase activity and those that bypass reliance on oncogenic signaling mediated by the target kinase. Elucidation of clinical resistance mechanisms to targeted therapies for patients can provide important insights into disease pathogenesis and signaling.


Children ◽  
2020 ◽  
Vol 7 (2) ◽  
pp. 14
Author(s):  
Rebecca Epperly ◽  
Stephen Gottschalk ◽  
Mireya Paulina Velasquez

Outcomes for pediatric patients with acute myeloid leukemia (AML) remain poor, highlighting the need for improved targeted therapies. Building on the success of CD19-directed immune therapy for acute lymphocytic leukemia (ALL), efforts are ongoing to develop similar strategies for AML. Identifying target antigens for AML is challenging because of the high expression overlap in hematopoietic cells and normal tissues. Despite this, CD123 and CD33 antigen targeted therapies, among others, have emerged as promising candidates. In this review we focus on AML-specific T cell engaging bispecific antibodies and chimeric antigen receptor (CAR) T cells. We review antigens being explored for T cell-based immunotherapy in AML, describe the landscape of clinical trials upcoming for bispecific antibodies and CAR T cells, and highlight strategies to overcome additional challenges facing translation of T cell-based immunotherapy for AML.


Haematologica ◽  
2020 ◽  
Vol 105 (12) ◽  
pp. 2795-2804 ◽  
Author(s):  
Sigal Tavor ◽  
Tali Shalit ◽  
Noa Chapal Ilani ◽  
Yoni Moskovitz ◽  
Nir Livnat ◽  
...  

Novel targeted therapies demonstrate improved survival in specific subgroups (defined by genetic variants) of acute myeloid leukemia (AML) patients, validating the paradigm of molecularly targeted therapy. However, identifying correlations between AML molecular attributes and effective therapies is challenging. Recent advances in high-throughput in vitro drug sensitivity screening applied to primary AML blasts were used to uncover such correlations; however, these methods cannot predict the response of leukemic stem cells (LSCs). Our study aimed to predict in vitro response to targeted therapies, based on molecular markers, with subsequent validation in LSCs. We performed ex vivo sensitivity screening to 46 drugs on 29 primary AML samples at diagnosis or relapse. Using unsupervised hierarchical clustering analysis we identified group with sensitivity to several tyrosine kinase inhibitors (TKIs), including the multi-TKI, dasatinib, and searched for correlations between dasatinib response, exome sequencing and gene expression from our dataset and from the Beat AML dataset. Unsupervised hierarchical clustering analysis of gene expression resulted in clustering of dasatinib responders and non-responders. In vitro response to dasatinib could be predicted based on gene expression (AUC=0.78). Furthermore, mutations in FLT3/ITD and PTPN11 were enriched in the dasatinib sensitive samples as opposed to mutations in TP53 which were enriched in resistant samples. Based on these results, we selected FLT3/ITD AML samples and injected them to NSG-SGM3 mice. Our results demonstrate that in a subgroup of FLT3/ITD AML (4 out of 9) dasatinib significantly inhibits LSC engraftment. In summary we show that dasatinib has an anti-leukemic effect both on bulk blasts and, more importantly, LSCs from a subset of AML patients that can be identified based on mutational and expression profiles. Our data provide a rational basis for clinical trials of dasatinib in a molecularly selected subset of AML patients.


Blood ◽  
2021 ◽  
Vol 138 (Supplement 1) ◽  
pp. 4444-4444
Author(s):  
Georgia M. Andrew ◽  
Laura W. Dillon ◽  
Maria Saeed ◽  
Ting-Chia Chang ◽  
Srikrishna K. Narava ◽  
...  

Abstract Background: In the last decade there have been significant advances in diagnosing and classifying adult acute myeloid leukemia (AML) based on genomic profiling, enabling risk-stratification and targeted therapies. In 2017 the US FDA approved the first gene mutation targeted therapies for AML with multiple additional targeted therapies since approved or in development. Given the typical acuity of AML at initial presentation however and the current turnaround time for next-generation sequencing (NGS) assays, most patients will start definitive initial therapy before all potentially targetable mutations are known. There is, therefore, a significant need for a fast molecular genotyping test to determine eligibility for personalized therapy in AML. The NCI Myeloid Assay (NMA) is a comprehensive targeted NGS assay on the Ion Torrent Genexus System, a fully automated platform that provides a rapid turnaround time from specimen receipt to clinical reporting. NMA utilizes Thermo Fisher Scientific's Oncomine Myeloid Assay GX and appears ideally suited for use in upcoming AML targeted therapy trials but has yet to be extensively tested in a cohort of AML patient diagnostic samples and compared to a standard targeted "myeloid panel" NGS assay platform (s-NGS). Methods: DNA samples (n=173) extracted from pretreatment bone marrow and/or peripheral blood of adult patients (n=112) diagnosed with de novo AML or high-risk myelodysplastic syndrome (MDS), were blindly tested in parallel using the NMA and s-NGS assays. For the NMA assay, 27.75ng of DNA was put into the Genexus System. All runs, controls, and samples were first analyzed for sequencing quality using established quality control (QC) metrics to assess pass/fail status. For all samples that passed QC metrics, variant results generated by the Ion Torrent Genexus pipeline were manually reviewed prior to being called true positive variants. For the s-NGS, using the ArcherDx Myeloid VariantPlex assay, a DNA input of 50ng was used for library preparation on a dual pre- and post-PCR separated automated liquid-handling workflow. Resulting libraries were sequencing on the Novaseq 6000 (Illumina) and the data analyzed using the Archer Analysis software and filtered as previously described (PMID: 34258102). Results from the two assays were compared for mutations with a variant allele fraction (VAF) >5% occurring in genes of interest in small molecule targeted clinical trials including: FLT3, IDH1, IDH2, JAK2, KIT, NPM1, NRAS, KRAS, and TP53. For FLT3-ITD comparison, the presence or absence of a call by the assay was used. Results: Utilizing a 5% VAF reporting threshold, a total of 171 and 174 variants were detected by NMA and s-NGS assays, respectively. A high rate of concordance was observed between the assays, with NMA detecting 96% of s-NGS variants and s-NGS detecting 95% of NMA variants. The VAF of detected single nucleotide variants was highly correlated (r=0.9848, P<0.0001, Figure 1A). NPM1 mutation VAF values trended lower by s-NGS compared to NMA. We investigated the discordant calls (n=15 total in 11 patients). One patient was correctly identified as having an NRAS p.Gly12 mutation by both approaches, but the resulting mutation was incorrectly annotated by the s-NGS pipeline. Samples from two patients (including one with both blood and marrow tested) were correctly identified as being FLT3 tyrosine kinase domain mutated by both sequencing approaches, although only the major of two missense variants identified by s-NGS was reported by the NMA pipeline. None of these patients, however, would be misclassified. The remaining 11 discordant calls were false negatives (including 6 variants detected by s-NGS but not by NMA). All of these "edge case" variants were detectable by lowering the VAF reporting threshold below 5% (Figure 1B). Conclusions: NMA is an automated sample-to-results workflow that can identify myeloid disorder-associated genomic variants in less than 48 hours from library preparation to clinical reporting. We show that NMA is highly concordant with a standard DNA NGS assay for detecting mutations within recurrently mutated AML genes. Accurate rapid genotyping is required for assignment to initial treatment with targeted therapy, and this technology may be a valuable tool for upcoming clinical trials for patients with myeloid malignancies. Figure 1 Figure 1. Disclosures Zhang: Thermo Fisher Scientific: Current Employment. Sedova: Thermo Fisher Scientific: Current Employment. Huang: Thermo Fisher Scientific: Current Employment. Mittal: Thermo Fisher Scientific: Current Employment. Hatch: Thermo Fisher Scientific: Current Employment. Ni: Thermo Fisher Scientific: Current Employment. Kaznadzey: Thermo Fisher Scientific: Current Employment. Sadis: Thermo Fisher Scientific: Current Employment. Smith: Thermo Fisher Scientific: Current Employment. Williams: Illumina: Other: CRADA. Hourigan: Sellas: Research Funding.


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