Modulating AML1-ETO with Signature-Based Small Molecule Library Screening.

Blood ◽  
2006 ◽  
Vol 108 (11) ◽  
pp. 729-729 ◽  
Author(s):  
Kimberly Stegmaier ◽  
Steven M. Corsello ◽  
Kenneth N. Ross ◽  
Todd R. Golub

Abstract We sought to develop a strategy to pharmacologically modulate AML1-ETO, the most common gene rearrangement associated with acute myeloblastic leukemia (AML). Like many other oncogenic transcription factors associated with the acute leukemias, AML1-ETO has been considered undruggable. In principle, these well-characterized somatic mutations identified in the acute leukemias represent unique, tumor-specific therapeutic targets. In practice, acute leukemia therapy continues to focus on nonspecific cytotoxic agents. In order to address this challenge, we developed a genomic, signature-based small molecule library screening approach, Gene Expression-based High-throughput Screening (GE-HTS). This approach uses gene expression signatures as surrogates for different biological states in a small molecule library screen. We focused our initial efforts on identifying modulators of AML1-ETO. First, a 25-gene signature for AML1-ETO abrogation was defined by transcriptional profiling of t(8;21) Kasumi-1 cells with and without AML1-ETO-directed RNA interference and with a U937 inducible model of AML1-ETO. The signature was confirmed in microarray data from t(8;21)-containing primary patient leukemias (p < 0.001). Next, the ability of 2,600 FDA-approved drugs and bioactive agents to induce this abrogation signature was evaluated by ligation mediated amplification (LMA) and bead-based fluorescence detection. The screen identified 16 hits confirmed on repeat testing, including seven corticosteroids. Five hits were selected for further study based on their chemical diversity, ability to induce a robust expression signature, and potential for clinical translation: 5-aza-deoxycytidine, floxuridine, methotrexate, methylprednisolone, and pyrimethamine. Next, whole genome effects of these compounds with microarray-based expression profiling were evaluated. Using Gene Set Enrichment Analysis (GSEA), we determined that all five compounds induce both whole genome effects consistent with AML1-ETO knockdown and a whole genome program consistent with neutrophil maturation. In a subset of these compounds, we also see changes in cell surface markers and morphological features consistent with myeloid maturation. Intriguingly, two of the hits are well-characterized DNA methyltransferase inhibitors, and two of the hits are dihydrofolate reductase inhibitors that increase S-adenosylhomocysteine, an inhibitor of methyltransferases. Thus, reversal of AML1-ETO-mediated gene silencing by demethylation may overcome its repressive effects. This application of knockdown-derived expression signatures to small molecule library screening should enable the targeting of nearly any oncogenic transcription factor.

2019 ◽  
Vol 15 (2) ◽  
pp. 446-456 ◽  
Author(s):  
Julie S. Valastyan ◽  
Michael R. Tota ◽  
Isabelle R. Taylor ◽  
Vasiliki Stergioula ◽  
Graham A. B. Hone ◽  
...  

Blood ◽  
2009 ◽  
Vol 114 (22) ◽  
pp. 366-366 ◽  
Author(s):  
Giovanni Roti ◽  
Kenneth N. Ross ◽  
Adolfo A. Ferrando ◽  
Stephen C Blacklow ◽  
Jon Aster ◽  
...  

Abstract Abstract 366 Gain of function mutations in Notch1, which encodes a signaling protein that is converted into a transcription factor upon activation, are the most common genetic abnormality in human T-cell acute lymphoblastic leukemia (T-ALL). Although inhibiting Notch1 activity represents a potential therapeutic opportunity, the discovery of new Notch1 pathway antagonists poses a difficult challenge. Traditional small molecule library screening approaches have not been amenable to modulating transcription factor abnormalities. In order to overcome this challenge, we applied Gene Expression-based High-throughput Screening (GE-HTS) to discover new Notch1 modulators. GE-HTS uses gene expression signatures as surrogates for different biological states. We derived a 32-gene Notch1 expression signature from genome-wide microarray expression profiling of 7 different Notch1 mutant T-ALL cell lines treated with vehicle (Notch1 on) versus a Notch1 inactivating γ-secretase inhibitor (GSI; Notch off) and screened a small molecule library for compounds inducing the Notch1 off state in DND41 mutant Notch1 T-ALL cells. Among numerous ion flux modulators validated to induce the Notch1 off signature, one of the top hits was the FDA-approved calcium channel blocker, bepridil, used to treat patients with cardiac disease. In multiple mutant Notch1 T-ALL cell lines, bepridil induced the Notch1 off signature. We next confirmed that bepridil indeed targets Notch signaling by demonstrating its inhibitory effects on a Notch-sensitive luciferase reporter gene in heterologous U2OS cells expressing a mutated form of Notch1. Similar to the phenotypic effects of GSI, bepridil induced a G0/G1 cell cycle arrest, inhibited cellular viability, and decreased cell size in multiple T-ALL cell lines, including the GSI-resistant cell line PF382. Next, in order to confirm dependency of the induced phenotype on inhibition of Notch, we utilized the 8946 T-ALL cell line. This murine line depends on a doxycycline-repressible human c-myc transgene for growth and can be rescued from transgene withdrawal with activated Notch1, which upregulates the endogenous c-myc gene. In these cells, the phenotypic effect of bepridil on viability is also dependent on Notch1 inhibition because cells rescued from transgene withdrawal with activated Notch1 were more sensitive to the effects of the drug than were those cells still dependent on the c-myc transgene. Finally, we asked whether bepridil altered the level of active Notch1 protein in T-ALL cell lines. As with GSI, bepridil treatment results in decreased levels of intracellular Notch (ICN1). In contrast to GSI, however, bepridil treatment decreased levels of the furin-processed extracellular and transmembrane forms of Notch1 while the full length Notch1 precursor form accumulated upon bepridil treatment. One hypothesis is that by altering ER/Golgi compartment calcium, bepridil prevents the folding of newly synthesized Notch1 polypeptides, leading to its retention in the ER/Golgi and a failure to traffic to cellular compartments where receptor activation occurs. Consistent with this hypothesis co-localization studies in U2OS cell lines expressing the L1601P mutant Notch1 suggest retention of Notch1 in the ER/Golgi. An alternative hypothesis under investigation is that bepridil affects the activity of furin, a calcium-dependent protease that is required for processing of Notch receptors. In summary, we have identified an FDA-approved drug with Notch1 modulating activity in T-ALL by a mechanism unique from GSI. These studies have potential for rapid translation to clinical testing. Disclosures: Ferrando: Merck, Pfizer: Research Funding.


2020 ◽  
Author(s):  
Rogier L.C. Plas ◽  
Guido Hooiveld ◽  
Renger F. Witkamp ◽  
Klaske van Norren

Abstract BackgroundCancer cachexia is a complex and multi-factorial syndrome. As currently available therapeutic options are limited, more in-depth knowledge on cachexia pathophysiology and the underlying molecular mechanisms remains warranted. Studies with animal models provide useful insights but they only mimic the human situation to a certain degree. Furthermore, there is heterogeneity in the design of published animal studies and outcomes. To further address this issue, we performed a comparative study analysing muscle whole genome gene expression of different cachexia studies in mice and human.MethodsWe selected data sets from the NCBI Gene Expression Omnibus database containing muscle gene expression data measured by micro-array or RNA-sequencing, at least comprising a cachectic/tumour bearing group (n>3) and a non-cachectic/control group (n>3). This provided 12 datasets; 9 from mouse models and 3 human datasets. All datasets were quality checked, normalised and annotated. Datasets were merged and compared at different levels. General similarity and differences in gene expression were determined using ordered list analysis and principal component analysis (PCA). Moreover, similarities and differences at pathway level were studied by applying gene set enrichment analysis (GSEA) of KEGG pathways.ResultsAnimal models displayed similarities to each other and to human datasets at different levels and with different processes. At the gene level, a similarity analysis indicated little similarity between the animal models and the human datasets, while animal models showed high similarity. Only one of the C26 mice models (GSE121972) showed significant similarity to more than one human dataset. Moreover, one human dataset comparing cachectic and non-cachectic cancer patients showed no similarity to any of the other datasets. PCA results indicated that a xenograft model showed most different expression from the other datasets and the Lewis lung carcinoma model to be least different from the human datasets. GSEA results showed four pathways clearly standing out across experiments with downregulation of oxidative phosphorylation and thermogenesis pathway, and upregulation of the proteasome and RNA transport pathway. However, these pathways were not consistently changed in the human datasets.ConclusionsOur comparative analysis showed that there is currently no basis to define a preferred animal model for human cachexia. More human datasets containing proper controls are needed. Repetition of the current analysis upon publication of additional human datasets is warranted.


2017 ◽  
Author(s):  
Carolyn Bertozzi ◽  
Fred Tomlin ◽  
Ulla Gerling-Driessen ◽  
Yi-Chang Liu ◽  
Ryan Flynn ◽  
...  

We discovered that the proteostasis modulating transcription factor Nrf1 requires cytosolic de-N-glycosylation by the N-glycanase NGly1 as part of its activation mechanism. Through a covalent small molecule library screen, we discovered an inhibitor of NGly1 that blocks Nrf1 activation in cells and potentiates the activity of proteasome inhibitor cancer drugs. The requirement of NGly1 for Nrf1 activity likely underlies several pathologies associated with a rare hereditary deficiency in NGly1.


2018 ◽  
Vol 21 (2) ◽  
pp. 74-83
Author(s):  
Tzu-Hung Hsiao ◽  
Yu-Chiao Chiu ◽  
Yu-Heng Chen ◽  
Yu-Ching Hsu ◽  
Hung-I Harry Chen ◽  
...  

Aim and Objective: The number of anticancer drugs available currently is limited, and some of them have low treatment response rates. Moreover, developing a new drug for cancer therapy is labor intensive and sometimes cost prohibitive. Therefore, “repositioning” of known cancer treatment compounds can speed up the development time and potentially increase the response rate of cancer therapy. This study proposes a systems biology method for identifying new compound candidates for cancer treatment in two separate procedures. Materials and Methods: First, a “gene set–compound” network was constructed by conducting gene set enrichment analysis on the expression profile of responses to a compound. Second, survival analyses were applied to gene expression profiles derived from four breast cancer patient cohorts to identify gene sets that are associated with cancer survival. A “cancer–functional gene set– compound” network was constructed, and candidate anticancer compounds were identified. Through the use of breast cancer as an example, 162 breast cancer survival-associated gene sets and 172 putative compounds were obtained. Results: We demonstrated how to utilize the clinical relevance of previous studies through gene sets and then connect it to candidate compounds by using gene expression data from the Connectivity Map. Specifically, we chose a gene set derived from a stem cell study to demonstrate its association with breast cancer prognosis and discussed six new compounds that can increase the expression of the gene set after the treatment. Conclusion: Our method can effectively identify compounds with a potential to be “repositioned” for cancer treatment according to their active mechanisms and their association with patients’ survival time.


Sign in / Sign up

Export Citation Format

Share Document