Faculty Bibliography

Acute myeloid leukemia (AML) has remained one of the most treatment resistant and deadliest cancers. The survival of AML blast cells is controlled by the balance of anti- and pro-apoptotic proteins. Recently approved Bcl-2 targeted therapy of AML with the Bcl-2 specific inhibitor Venetoclax in combinations has improved patients outcomes. However, a priori and developing resistance to venetoclax combinations with hypomethylating agents (HMA) azacitidine and decitabine challenge this treatment. As such, novel therapies to overcome venetoclax-HMA resistance are urgently needed. We have identified a combination of DNA damage repair interference by WEE1 inhibition with AZD1775, combined with low dose cytarabine (AraC) as an effective strategy to overcome combined venetoclax-azacitidine resistance (VAR). AZD1775 with low dose AraC induced massive apoptosis (by Annexin V and cleaved caspase-3) and almost completely reduced viability and clonogenic growth of primary AML cells. To delineate the molecular mechanism of the synergistic effect of AZD1775/AraC we performed RNAseq analysis of single agent or the combination of AZD1775+AraC in AML cell lines and primary CD34+ selected AML patient cells with the goal to identify deferentially regulated genes indicating a mechanistic underpinning of the potent activity. Only 2 genes were deferentially regulated across cell lines and CD34+ selected cells under AZD1775+AraC treatment: one of these is NR4A1, an orphan nuclear receptor, which we went on to validate as a potential downstream target of Wee1 inhibition. The inactivation of NR4A1 in mice was previously shown to induce AML and to maintain leukemia stem cells. Using qPCR we confirmed that the expression of NR4A1 is upregulated after AZD1775/AraC combo treatment in human leukemic cells. We then demonstrated that activators of NR4A1 (cytosporone B and pPhOCH3) reduce viability of leukemic cells, while NR4A1 inhibitor pPhOH was able to abolish the effect of AZD1775/AraC combo treatment increasing leukemic cell viability]. To investigate the involvement of mitochondria in the effect of AZD1775/AraC treatment we performed the expression of mitochondrial genes and pathway analyses in RNAseq data and found that mitochondrial gene expression, including many genes involved in apoptosis, has most dramatic changes in the combo treatment if compared to the single agents. Subsequently, we have examined the expression of the main BCL-2 family apoptotic genes by qPCR and western blot analysis. We found that AZD1775/AraC induces the expression of Bim isoforms, whereas Bcl-2, Mcl-1 and Bcl-Xl were largely unaffected. NR4A1 was previously shown to translocate to mitochondria, release Bim from Bcl-2 protein binding, as well as convert Bcl-2 to an extreme potent pro-apoptotic form. Finally, we generated several additional VAR cell lines and cells with subclones and demonstrated that AZD1775/AraC combination treatment is able to overcome VAR in almost every clone. Our results show that DNA damage repair interference with Wee1 inhibition has the potential to overcome VAR through a novel mechanisms of AZD1775 increasing NR4A1, freeing pro-apoptotic Bim irrespective of anti-apoptotic Bcl-2 proteins leading to massive apoptotic cell death in AML cells. The precise molecular mechanisms and the involvement of NR4A1 in this phenomenon will be presented at the meeting. Our findings will help to develop new therapeutic strategies in AML treatment and a trial of AZD1775 + AraC in AML is currently ongoing. Disclosures: No relevant conflicts of interest to declare.XXCopyright

A major challenge in cancer treatment is predicting clinical response to anti-cancer drugs on a personalized basis. Using a pharmacogenomics database of 1,001 cancer cell lines, we trained deep neural networks for prediction of drug response and assessed their performance on multiple clinical cohorts. We demonstrate that deep neural networks outperform the current state in machine learning frameworks. We provide a proof of concept for the use of deep neural network-based frameworks to aid precision oncology strategies.

Long non-coding RNAs (lncRNAs) are important regulatory molecules that are implicated in cellular physiology and pathology. In this work, we dissect the functional role of the HOXB-AS3 lncRNA in patients with NPM1-mutated (NPM1mut) acute myeloid leukemia (AML). We show that HOXB-AS3 regulates the proliferative capacity of NPM1mut AML blasts in vitro and in vivo. HOXB-AS3 is shown to interact with the ErbB3-binding protein 1 (EBP1) and guide EBP1 to the ribosomal DNA locus. Via this mechanism, HOXB-AS3 regulates ribosomal RNA transcription and de novo protein synthesis. We propose that in the context of NPM1 mutations, HOXB-AS3 overexpression acts as a compensatory mechanism, which allows adequate protein production in leukemic blasts.

Treatment resistance remains a leading cause of acute leukemia-related deaths. Thus, there is an unmet need to develop novel approaches to improve outcome. New immune-based therapies with chimeric antigen receptor (CAR) T cells, bi-specific T cell engagers (BiTEs), and immune checkpoint blockers (ICBs) have emerged as effective treatment options for chemoresistant B cell acute lymphoblastic leukemia (B-ALL) and acute myeloid leukemia (AML). However, many patients show resistance to these immune-based approaches. This review describes crucial lessons learned from immune-based approaches targeting high-risk B-ALL and AML, such as the leukemia-intrinsic (e.g., target antigen loss, tumor heterogeneity) and -extrinsic (e.g., immunosuppressive microenvironment) mechanisms that drive treatment resistance, and discusses alternative approaches to enhance the effectiveness of these immune-based treatment regimens.

In B lymphopoiesis, activation of the pre-B cell antigen receptor (pre-BCR) is associated with both cell cycle exit and Igk recombination. Yet how the pre-BCR mediates these functions remains unclear. Here, we demonstrate that the pre-BCR initiates a feed-forward amplification loop mediated by the transcription factor interferon regulatory factor 4 and the chemokine receptor C-X-C motif chemokine receptor 4 (CXCR4). CXCR4 ligation by C-X-C motif chemokine ligand 12 activates the mitogen-activated protein kinase extracellular-signal-regulated kinase, which then directs the development of small pre- and immature B cells, including orchestrating cell cycle exit, pre-BCR repression, Igk recombination and BCR expression. In contrast, pre-BCR expression and escape from interleukin-7 have only modest effects on B cell developmental transcriptional and epigenetic programs. These data show a direct and central role for CXCR4 in orchestrating late B cell lymphopoiesis. Furthermore, in the context of previous findings, our data provide a three-receptor system sufficient to recapitulate the essential features of B lymphopoiesis in vitro.

As with most cancer types, there remains a subset of B-cell acute lymphoblastic leukaemia (B-ALL) patients who will relapse and succumb to therapy-resistant disease. It is believed that tumour heterogeneity underpins therapy failure leading to a Darwinian model of clonal evolution, however, such studies do not account for the role of the bone marrow microenvironment in supporting leukaemia survival, progression and escape from treatment. Here, we perform single-cell RNA-Sequencing (scRNA-Seq) to generate a comprehensive map of the primary human B-ALL bone marrow immune microenvironment throughout three distinct stages of the human leukemic disease process: diagnosis, remission and relapse. These studies show extensive re-modelling of the immune microenvironment composition and cell-to-cell interactions throughout the course conventional chemotherapy, and uncover a role for inflammatory leukaemia-associated monocytes in promoting B-ALL pathogenesis in vivo. These monocytic subsets are predictive of Ph+ B-ALL patient event-free survival and when targeted in B-ALL animal models, lead to prolonged disease remission. Our profiling of the human B-ALL bone marrow immune microenvironment provides a greater understanding of the potential extrinsic regulators of B-ALL survival and may highlight previously unknown environmental factors influencing immune-based treatment approaches to high-risk B-ALL.

Background/UNASSIGNED:as a candidate gene in which mutations might be contributing to clonal expansion. Methods/UNASSIGNED:genes in 19 patients with large PNH clones. Results/UNASSIGNED:in multiple hematopoietic lineages, which was detectable upon repeat testing. This patient has had severe thromboses and has relatively higher peripheral blood counts compared with the other patients-but does not have other features of a myeloproliferative neoplasm. Conclusions/UNASSIGNED:may contribute to clonal expansion in exceptional cases of PNH.

Epigenetic dysregulation plays a profound role in the pathogenesis of hematological malignancies, which is often the result of somatic mutations of chromatin regulators. Previously, these mutations were largely considered to alter gene expression in two dimensions, by activating or repressing chromatin states; however, research in the last decade has highlighted the increasing impact of the 3D organization of the genome in gene regulation and disease pathogenesis. Here, we summarize the current principles of 3D chromatin organization, how the integrity of the 3D genome governs immune cell development and malignant transformation, as well as how underlying (epi-)genetic drivers of 3D chromatin alterations might act as potential novel therapeutic targets for hematological malignancies.

The response to systemic infection and injury requires the rapid adaptation of hematopoietic stem cells (HSCs), which proliferate and divert their differentiation toward the myeloid lineage. Significant interest has emerged in understanding the signals that trigger the emergency hematopoietic program. However, the mechanisms that halt this response of HSCs, which is critical to restore homeostasis, remain unknown. Here we reveal that the E3 ubiquitin ligase Speckle-type BTB-POZ protein (SPOP) restrains the inflammatory activation of HSCs. In the absence of Spop, systemic inflammation proceeded in an unresolved manner, and the sustained response in the HSCs resulted in a lethal phenotype reminiscent of hyper-inflammatory syndrome or sepsis. Our proteomic studies decipher that SPOP restricted inflammation by ubiquitinating the innate signal transducer myeloid differentiation primary response protein 88 (MYD88). These findings unearth an HSC-intrinsic post-translational mechanism that is essential for reestablishing homeostasis after emergency hematopoiesis.

A major challenge in cancer treatment is predicting the clinical response to anti-cancer drugs on a personalized basis. The success of such a task largely depends on the ability to develop computational resources that integrate big "omic" data into effective drug-response models. Machine learning is both an expanding and an evolving computational field that holds promise to cover such needs. Here we provide a focused overview of: 1) the various supervised and unsupervised algorithms used specifically in drug response prediction applications, 2) the strategies employed to develop these algorithms into applicable models, 3) data resources that are fed into these frameworks and 4) pitfalls and challenges to maximize model performance. In this context we also describe a novel in silico screening process, based on Association Rule Mining, for identifying genes as candidate drivers of drug response and compare it with relevant data mining frameworks, for which we generated a web application freely available at: https://compbio.nyumc.org/drugs/. This pipeline explores with high efficiency large sample-spaces, while is able to detect low frequency events and evaluate statistical significance even in the multidimensional space, presenting the results in the form of easily interpretable rules. We conclude with future prospects and challenges of applying machine learning based drug response prediction in precision medicine.