scholarly journals Synthetic Lethality of Wnt Pathway Activation and Asparaginase in Drug-Resistant Acute Leukemias

2018 ◽  
Author(s):  
Laura Hinze ◽  
Maren Pfirrmann ◽  
Salmaan Karim ◽  
James Degar ◽  
Connor McGuckin ◽  
...  

SUMMARYResistance to asparaginase, an antileukemic enzyme that depletes asparagine, is a common clinical problem. Using a genome-wide CRISPR/Cas9 screen, we found a synthetic lethal interaction between Wnt pathway activation and asparaginase in acute leukemias resistant to this enzyme. Wnt pathway activation induced asparaginase sensitivity in distinct treatment-resistant subtypes of acute leukemia, including T-lymphoblastic, hypodiploid B-lymphoblastic, and acute myeloid leukemias, but not in normal hematopoietic progenitors. Sensitization to asparaginase was mediated by Wnt-dependent stabilization of proteins (Wnt/STOP), which inhibits GSK3-dependent protein ubiquitination and degradation. Inhibiting the alpha isoform of GSK3 phenocopied this effect, and pharmacologic GSK3α inhibition profoundly sensitized drug-resistant leukemias to asparaginase. Our findings provide a molecular rationale for activation of Wnt/STOP signaling to improve the therapeutic index of asparaginase.SIGNIFICANCEThe intensification of asparaginase-based therapy has improved outcomes for several subtypes of acute leukemia, but the development of treatment resistance has a poor prognosis. We hypothesized, from the concept of synthetic lethality, that gain-of-fitness alterations in drug-resistant cells had conferred a survival advantage that could be exploited therapeutically. We found a synthetic lethal interaction between activation of Wnt-dependent stabilization of proteins (Wnt/STOP) and asparaginase in acute leukemias resistant to this enzyme. Inhibition of the alpha isoform of GSK3 was sufficient to phenocopy this effect, and the combination of GSK3α-selective inhibitors and asparaginase had marked therapeutic activity against leukemias resistant to monotherapy with either agent. These data indicate that drug-drug synthetic lethal interactions can improve the therapeutic index of cancer therapy.

Cancer Cell ◽  
2019 ◽  
Vol 35 (4) ◽  
pp. 664-676.e7 ◽  
Author(s):  
Laura Hinze ◽  
Maren Pfirrmann ◽  
Salmaan Karim ◽  
James Degar ◽  
Connor McGuckin ◽  
...  

2019 ◽  
Author(s):  
L Hinze ◽  
M Pfirrmann ◽  
S Karim ◽  
J Degar ◽  
DE Bauer ◽  
...  

Blood ◽  
2018 ◽  
Vol 132 (Supplement 1) ◽  
pp. 891-891
Author(s):  
Laura Hinze ◽  
Maren Pfirrmann ◽  
Salmaan Karim ◽  
James Degar ◽  
Connor McGuckin ◽  
...  

Abstract Asparaginase, a bacterial enzyme that depletes the nonessential amino acid asparagine, is an integral component of acute leukemia therapy. However, asparaginase resistance is a common clinical problem whose biologic basis is poorly understood. We hypothesized, based on the concept of synthetic lethality, that gain-of-fitness alterations in the drug-resistant cells had conferred a survival advantage that could be exploited therapeutically. To identify molecular pathways that promote fitness of leukemic cells upon treatment with asparaginase, we performed a genome-wide CRISPR/Cas9 loss-of-function screen in the asparaginase-resistant T-ALL cell line CCRF-CEM. Cas9-expressing CCRF-CEM cells were transduced with a genome-wide guide RNA library (Shalem et al. Science343, 84-87, 2014), treated with either vehicle or asparaginase (10 U/L), and guide RNA representation was assessed. Our internal positive control, asparagine synthetase, was the gene most significantly depleted in asparaginase-treated cells (RRA significance score = 1.56 x 10-7), followed closely by two regulators of Wnt signaling, NKD2 and LGR6 (RRA score = 6 x 10-6and 2.19 x 10-5, respectively). To test how these genes regulate Wnt signaling in T-ALL, we transduced CCRF-CEM cells with shRNAs targeting NKD2 or LGR6, or with an shLuciferase control. Knockdown of NKD2 or LGR6 increased levels of active β-catenin, as well as the activity of a TopFLASH reporter of canonical Wnt/β-catenin transcriptional activity (P < 0.0001), indicating that NKD2 and LGR6 are negative regulators of Wnt signaling in these cells. We then validated the screen results using shRNA knockdown of NKD2 or LGR6, which profoundly sensitized these cells to asparaginase (P< 0.0001) and potentiated asparaginase-induced apoptosis (P < 0.0001). Inhibition of glycogen synthase kinase 3 (GSK3) is a key event in Wnt-induced signal transduction. Thus, we tested whether CHIR99021, an ATP-competitive inhibitor of both GSK3 isoforms (GSK3α and GSK3β), could phenocopy the effect of Wnt pathway activation. Pharmacologic inhibition of GSK3 induced significant sensitization to asparaginase across a panel of cell lines representing distinct subtypes of treatment-resistant acute leukemia, including T-ALL, AML and hypodiploid B-ALL (Fig. 1a, b). Importantly, GSK3 inhibition did not sensitize normal hematopoietic progenitors to asparaginase, suggesting a leukemia-specific effect. Wnt-induced sensitization to asparaginase was independent of β-catenin and mTOR activation, because genetic and pharmacologic manipulation of these Wnt targets had no effect on asparaginase response. Instead, it was mediated by Wnt-dependent stabilization of proteins (Wnt/STOP), which inhibits GSK3-dependent protein ubiquitination and proteasomal degradation (Acebron et al. Mol Cell54, 663-674, 2014, Taelman et al. Cell143, 1136-1148, 2010). Indeed,Wnt-induced sensitization to asparaginase was completely blocked by the transduction of leukemia cells with FBXW7 (P < 0.0001), whose overexpression can reverse Wnt/STOP (Acebron et al. Mol Cell54, 663-674; 2014), or by expression of a hyperactive proteasomal subunit ΔN-PSMA4 (P < 0.0001), which globally increases protein degradation (Choi et al. Nat Commun7, 10963, 2016). Although GSK3α and GSK3βare redundant for many of their biologic functions, genetic or pharmacologic inhibition of GSK3α fully phenocopied Wnt-induced sensitization to asparaginase (P < 0.0001), whereas selective inhibition of GSK3β had no effect. We then leveraged the recently developed GSK3α-selective small molecule inhibitor BRD0705 (Wagner et al. Sci Transl Med10, 2018) to test the in vivo therapeutic potential of our findings. Immunodeficient NRG mice were injected with leukemic cells from a primary asparaginase-resistant T-ALL patient derived xenograft, and treatment was begun after confirmation of leukemic engraftment (n=16 mice per group). In vivo, this PDX proved completely resistant to asparaginase or BRD0705 monotherapy, whereas the combination was highly efficacious (median survival of 17 days in vehicle, vs. median not reached at 60 days in combo-treated mice; P < 0.0001; Fig. 2a, b). The combination was also well-tolerated, with no appreciable weight changes or increases in serum bilirubin levels. Our findings provide a molecular rationale for activating Wnt/STOP signaling to improve the therapeutic index of asparaginase. Disclosures No relevant conflicts of interest to declare.


2018 ◽  
Vol 62 (4) ◽  
Author(s):  
Suvitha Subramaniam ◽  
Christoph D. Schmid ◽  
Xue Li Guan ◽  
Pascal Mäser

ABSTRACT Combinatorial chemotherapy is necessary for the treatment of malaria. However, finding a suitable partner drug for a new candidate is challenging. Here we develop an algorithm that identifies all of the gene pairs of Plasmodium falciparum that possess orthologues in yeast that have a synthetic lethal interaction but are absent in humans. This suggests new options for drug combinations, particularly for inhibitors of targets such as P. falciparum calcineurin, cation ATPase 4, or phosphatidylinositol 4-kinase.


2018 ◽  
Vol 18 (4) ◽  
pp. 337-346 ◽  
Author(s):  
Anuradha Gupta ◽  
Anas Ahmad ◽  
Aqib Iqbal Dar ◽  
Rehan Khan

Cancer is an evolutionary disease with multiple genetic alterations, accumulated due to chromosomal instability and/or aneuploidy and it sometimes acquires drug-resistant phenotype also. Whole genome sequencing and mutational analysis helped in understanding the differences among persons for predisposition of a disease and its treatment non-responsiveness. Thus, molecular targeted therapies came into existence. Among them, the concept of synthetic lethality have enthralled great attention as it is a pragmatic approach towards exploiting cancer cell specific mutations to specifically kill cancer cells without affecting normal cells and thus enhancing anti-cancer drug therapeutic index. Thus, this approach helped in discovering new therapeutic molecules for development of precision medicine. Nanotechnology helped in delivering these molecules to the target site in an effective concentration thus reducing off target effects of drugs, dose and dosage frequency drugs. Researchers have tried to deliver siRNA targeting synthetic lethal partner for target cancer cell killing by incorporating it in nanoparticles and it has shown efficacy by preventing tumor progression. This review summarizes the brief introduction of synthetic lethality, and synthetic lethal gene interactions, with a major focus on its therapeutic anticancer potential with the application of nanotechnology for development of personalized medicine.


2019 ◽  
Vol 20 (S19) ◽  
Author(s):  
Jiang Huang ◽  
Min Wu ◽  
Fan Lu ◽  
Le Ou-Yang ◽  
Zexuan Zhu

Abstract Background Synthetic lethality has attracted a lot of attentions in cancer therapeutics due to its utility in identifying new anticancer drug targets. Identifying synthetic lethal (SL) interactions is the key step towards the exploration of synthetic lethality in cancer treatment. However, biological experiments are faced with many challenges when identifying synthetic lethal interactions. Thus, it is necessary to develop computational methods which could serve as useful complements to biological experiments. Results In this paper, we propose a novel graph regularized self-representative matrix factorization (GRSMF) algorithm for synthetic lethal interaction prediction. GRSMF first learns the self-representations from the known SL interactions and further integrates the functional similarities among genes derived from Gene Ontology (GO). It can then effectively predict potential SL interactions by leveraging the information provided by known SL interactions and functional annotations of genes. Extensive experiments on the synthetic lethal interaction data downloaded from SynLethDB database demonstrate the superiority of our GRSMF in predicting potential synthetic lethal interactions, compared with other competing methods. Moreover, case studies of novel interactions are conducted in this paper for further evaluating the effectiveness of GRSMF in synthetic lethal interaction prediction. Conclusions In this paper, we demonstrate that by adaptively exploiting the self-representation of original SL interaction data, and utilizing functional similarities among genes to enhance the learning of self-representation matrix, our GRSMF could predict potential SL interactions more accurately than other state-of-the-art SL interaction prediction methods.


2021 ◽  
Vol 12 (5) ◽  
Author(s):  
Man Nie ◽  
Likun Du ◽  
Weicheng Ren ◽  
Julia Joung ◽  
Xiaofei Ye ◽  
...  

AbstractDiffuse large B-cell lymphoma (DLBCL) is the most common type of aggressive lymphoid malignancy and a highly heterogeneous disease. In this study, we performed whole-genome and transcriptome sequencing, and a genome-wide CRISPR-Cas9-knockout screen to study an activated B-cell-like DLBCL cell line (RC-K8). We identified a distinct pattern of genetic essentialities in RC-K8, including a dependency on CREBBP and MDM2. The dependency on CREBBP is associated with a balanced translocation involving EP300, which results in a truncated form of the protein that lacks the critical histone acetyltransferase (HAT) domain. The synthetic lethal interaction between CREBBP and EP300 genes, two frequently mutated epigenetic modulators in B-cell lymphoma, was further validated in the previously published CRISPR-Cas9 screens and inhibitor assays. Our study suggests that integration of the unbiased functional screen results with genomic and transcriptomic data can identify both common and unique druggable vulnerabilities in DLBCL and histone acetyltransferases inhibition could be a therapeutic option for CREBBP or EP300 mutated cases.


2019 ◽  
Author(s):  
Jing Zhang ◽  
Shenqiu Zhang ◽  
Qiong Shi ◽  
Thaddeus D. Allen ◽  
Fengming You ◽  
...  

AbstractA synthetic lethal effect arises when a cancer-associated change introduces a unique vulnerability to cancer cells that makes them unusually susceptible to a drug’s inhibitory activity. The synthetic lethal approach is attractive because it enables targeting of cancers harboring specific genomic alterations, the products of which may have proven refractory to direct targeting. An example is cancer driven by overexpression of MYC. Here, we conducted a high-content screen for compounds that are synthetic lethal to elevated MYC using a small-molecule library to identify compounds that are closely related to, or are themselves, regulatory-approved drugs. The screen identified dimethylfasudil, a potent and reversible inhibitor of Rho-associated kinases ROCK1 and ROCK2. Close analogs of dimethylfasudil are used clinically to treat neurologic and cardiovascular disorders. The synthetic lethal interaction was conserved in rodent and human cell lines and could be observed with activation of either MYC or its paralog MYCN. The synthetic lethality seems specific to MYC overexpressing cells as it could not be substituted by a variety of oncogenic manipulations and synthetic lethality was diminished by RNAi-mediated depletion of MYC in human cancer cell lines. Collectively, these data support investigation of the use of dimethylfasudil as a drug that is synthetic lethal for malignancies that specifically overexpress MYC.Significance StatementSynthetic lethal targeting of tumors overexpressing MYC holds promise for attacking aggressive malignancies. Here we describe a synthetic lethal interaction between dimethylfasudil and overexpression of MYC. Uniquely, this novel synthetic lethal interaction points toward an opportunity for synthetic lethality with a molecule likely to harbor favorable drug-like properties that enable systemic use.


2022 ◽  
Author(s):  
Julie A Shields ◽  
Samuel R Meier ◽  
Madhavi Bandi ◽  
Maria Dam Ferdinez ◽  
Justin L Engel ◽  
...  

Synthetic lethality - a genetic interaction that results in cell death when two genetic deficiencies co-occur but not when either deficiency occurs alone - can be co-opted for cancer therapeutics. A pair of paralog genes is among the most straightforward synthetic lethal interaction by virtue of their redundant functions. Here we demonstrate a paralog-based synthetic lethality by targeting Vaccinia-Related Kinase 1 (VRK1) in Vaccinia-Related Kinase 2 (VRK2)-methylated glioblastoma (GBM). VRK2 is silenced by promoter methylation in approximately two-thirds of GBM, an aggressive cancer with few available targeted therapies. Genetic knockdown of VRK1 in VRK2-null or VRK2-methylated cells results in decreased activity of the downstream substrate Barrier to Autointegration Factor (BAF), a regulator of post-mitotic nuclear envelope formation. VRK1 knockdown, and thus reduced BAF activity, causes nuclear lobulation, blebbing and micronucleation, which subsequently results in G2/M arrest and DNA damage. The VRK1-VRK2 synthetic lethal interaction is dependent on VRK1 kinase activity and is rescued by ectopic VRK2 expression. Knockdown of VRK1 leads to robust tumor growth inhibition in VRK2-methylated GBM xenografts. These results indicate that inhibiting VRK1 kinase activity could be a viable therapeutic strategy in VRK2-methylated GBM.


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