scholarly journals Mutant Isocitrate Dehydrogenase 1 Disrupts PKM2–β-Catenin–BRG1 Transcriptional Network-Driven CD47 Expression

2018 ◽  
Vol 38 (9) ◽  
Author(s):  
Pruthvi Gowda ◽  
Shruti Patrick ◽  
Ankita Singh ◽  
Touseef Sheikh ◽  
Ellora Sen

ABSTRACT A gain-of-function mutation in isocitrate dehydrogenase 1 (IDH1) affects immune surveillance in gliomas. As elevated CD47 levels are associated with immune evasion in cancers, its status in gliomas harboring mutant IDH1 (IDH1-MT cells) was investigated. Decreased CD47 expression in IDH1-R132H-overexpressing cells was accompanied by diminished nuclear β-catenin, pyruvate kinase isoform M2 (PKM2), and TCF4 levels compared to those in cells harboring wild-type IDH1 (IDH1-WT cells). The inhibition of β-catenin in IDH1-WT cells abrogated CD47 expression, β-catenin–TCF4 interaction, and the transactivational activity of β-catenin/TCF4. The reverse effect was observed in IDH1-MT cells upon the pharmacological elevation of nuclear β-catenin levels. Genetic and pharmacological manipulation of nuclear PKM2 levels in IDH1-WT and IDH1-MT cells suggested that PKM2 is a positive regulator of the β-catenin–TCF4 interaction. The Cancer Genome Atlas (TCGA) data sets indicated diminished CD47, PKM2, and β-catenin levels in IDH1-MT gliomas compared to IDH1-WT gliomas. Also, elevated BRG1 levels with mutations in the ATP-dependent chromatin-remodeling site were observed in IDH1-MT glioma. The ectopic expression of ATPase-deficient BRG1 diminished CD47 expression as well as TCF4 occupancy on its promoter. Sequential chromatin immunoprecipitation (ChIP–re-ChIP) revealed the recruitment of the PKM2–β-catenin–BRG1–TCF4 complex to the TCF4 site on the CD47 promoter. This occupancy translated into CD47 transcription, as a diminished recruitment of this complex was observed in glioma cells bearing IDH1-R132H. In addition to its involvement in CD47 transcriptional regulation, PKM2–β-catenin–BRG1 cross talk affected the phagocytosis of IDH1-MT cells by microglia.

2020 ◽  
Author(s):  
Padma Kadiyala ◽  
Stephen V. Carney ◽  
Jessica C. Gauss ◽  
Maria B. Garcia-Fabiani ◽  
Felipe J. Núñez ◽  
...  

AbstractMutant isocitrate-dehydrogenase-1 (IDH1-R132H; mIDH1) is a hallmark of adult gliomas. Lower grade mIDH1 gliomas are classified into two molecular subgroups: (i) 1p/19q co-deletion/TERT-promoter mutations or (ii) inactivating mutations in α-thalassemia/mental retardation syndrome X-linked (ATRX) and TP53. This work, relates to the gliomas’ subtype harboring mIDH1, TP53 and ATRX inactivation. IDH1-R132H is a gain-of-function mutation that converts α-ketoglutarate into 2-hydroxyglutarate (D-2HG). The role of D-2HG within the tumor microenvironment of mIDH1/mATRX/mTP53 gliomas remains unexplored. Inhibition of 2HG, when used as monotherapy or in combination with radiation and temozolomide (IR/TMZ), led to increased median survival (MS) of mIDH1 glioma bearing mice. Also, 2HG inhibition elicited anti-mIDH1 glioma immunological memory. In response to 2HG inhibition, PD-L1 expression levels on mIDH1-glioma cells increased to similar levels as observed in wild-type-IDH1 gliomas. Thus, we combined 2HG inhibition/IR/TMZ with anti-PDL1 immune checkpoint-blockade and observed complete tumor regression in 60% of mIDH1 glioma bearing mice. This combination strategy reduced T-cell exhaustion and favored the generation of memory CD8+T-cells. Our findings demonstrate that metabolic reprogramming elicits anti-mIDH1 glioma immunity, leading to increased MS and immunological memory. Our preclinical data supports the testing of IDH-R132H inhibitors in combination with IR/TMZ and anti-PDL1 as targeted therapy for mIDH1/mATRX/mTP53 glioma patients.Brief SummaryInhibition of 2-Hydroxyglutrate in mutant-IDH1 glioma in the genetic context of ATRX and TP53 inactivation elicits metabolic-reprograming and anti-glioma immunity.


2018 ◽  
Vol 475 (20) ◽  
pp. 3221-3238 ◽  
Author(s):  
Diego Avellaneda Matteo ◽  
Grace A. Wells ◽  
Lucas A. Luna ◽  
Adam J. Grunseth ◽  
Olga Zagnitko ◽  
...  

Mutations in isocitrate dehydrogenase 1 (IDH1) drive most low-grade gliomas and secondary glioblastomas and many chondrosarcomas and acute myeloid leukemia cases. Most tumor-relevant IDH1 mutations are deficient in the normal oxidization of isocitrate to α-ketoglutarate (αKG), but gain the neomorphic activity of reducing αKG to D-2-hydroxyglutarate (D2HG), which drives tumorigenesis. We found previously that IDH1 mutants exhibit one of two reactivities: deficient αKG and moderate D2HG production (including commonly observed R132H and R132C) or moderate αKG and high D2HG production (R132Q). Here, we identify a third type of reactivity, deficient αKG and high D2HG production (R132L). We show that R132Q IDH1 has unique structural features and distinct reactivities towards mutant IDH1 inhibitors. Biochemical and cell-based assays demonstrate that while most tumor-relevant mutations were effectively inhibited by mutant IDH1 inhibitors, R132Q IDH1 had up to a 16 300-fold increase in IC50 versus R132H IDH1. Only compounds that inhibited wild-type (WT) IDH1 were effective against R132Q. This suggests that patients with a R132Q mutation may have a poor response to mutant IDH1 therapies. Molecular dynamics simulations revealed that near the NADP+/NADPH-binding site in R132Q IDH1, a pair of α-helices switches between conformations that are more wild-type-like or more mutant-like, highlighting mechanisms for preserved WT activity. Dihedral angle changes in the dimer interface and buried surface area charges highlight possible mechanisms for loss of inhibitor affinity against R132Q. This work provides a platform for predicting a patient's therapeutic response and identifies a potential resistance mutation that may arise upon treatment with mutant IDH inhibitors.


2022 ◽  
Vol 12 ◽  
Author(s):  
Chongming Jiang ◽  
Evelien Schaafsma ◽  
Wei Hong ◽  
Yanding Zhao ◽  
Ken Zhu ◽  
...  

BackgroundNeoantigens are presented on the cancer cell surface by peptide-restricted human leukocyte antigen (HLA) proteins and can subsequently activate cognate T cells. It has been hypothesized that the observed somatic mutations in tumors are shaped by immunosurveillance.MethodsWe investigated all somatic mutations identified in The Cancer Genome Atlas (TCGA) Skin Cutaneous Melanoma (SKCM) samples. By applying a computational algorithm, we calculated the binding affinity of the resulting neo-peptides and their corresponding wild-type peptides with the major histocompatibility complex (MHC) Class I complex. We then examined the relationship between binding affinity alterations and mutation frequency.ResultsOur results show that neoantigens derived from recurrent mutations tend to have lower binding affinities with the MHC Class I complex compared to peptides from non-recurrent mutations. Tumor samples harboring recurrent SKCM mutations exhibited lower immune infiltration levels, indicating a relatively colder immune microenvironment.ConclusionsThese results suggested that the occurrences of somatic mutations in melanoma have been shaped by immunosurveillance. Mutations that lead to neoantigens with high MHC class I binding affinity are more likely to be eliminated and thus are less likely to be present in tumors.


2021 ◽  
Vol 12 ◽  
Author(s):  
Seungjun Ahn ◽  
Tyler Grimes ◽  
Somnath Datta

The tumor microenvironment is composed of tumor cells, stroma cells, immune cells, blood vessels, and other associated non-cancerous cells. Gene expression measurements on tumor samples are an average over cells in the microenvironment. However, research questions often seek answers about tumor cells rather than the surrounding non-tumor tissue. Previous studies have suggested that the tumor purity (TP)—the proportion of tumor cells in a solid tumor sample—has a confounding effect on differential expression (DE) analysis of high vs. low survival groups. We investigate three ways incorporating the TP information in the two statistical methods used for analyzing gene expression data, namely, differential network (DN) analysis and DE analysis. Analysis 1 ignores the TP information completely, Analysis 2 uses a truncated sample by removing the low TP samples, and Analysis 3 uses TP as a covariate in the underlying statistical models. We use three gene expression data sets related to three different cancers from the Cancer Genome Atlas (TCGA) for our investigation. The networks from Analysis 2 have greater amount of differential connectivity in the two networks than that from Analysis 1 in all three cancer datasets. Similarly, Analysis 1 identified more differentially expressed genes than Analysis 2. Results of DN and DE analyses using Analysis 3 were mostly consistent with those of Analysis 1 across three cancers. However, Analysis 3 identified additional cancer-related genes in both DN and DE analyses. Our findings suggest that using TP as a covariate in a linear model is appropriate for DE analysis, but a more robust model is needed for DN analysis. However, because true DN or DE patterns are not known for the empirical datasets, simulated datasets can be used to study the statistical properties of these methods in future studies.


2019 ◽  
Vol 18 ◽  
pp. 153303381984663
Author(s):  
Ji-liang Hu ◽  
Wei-Jian Luo ◽  
Hao Wang

Objective: Angiogenin is a small protein that exerts potent stimulating effects on angiogenesis. In this study, we aimed to examine the expression of angiogenin in different subtypes of glioblastoma and estimated its independent prognostic value. Methods: The genomic and survival data from The Cancer Genome Atlas-glioblastoma were extracted for a secondary study. Results The expression of angiogenin was upregulated in glioblastoma tissues and varied significantly in different subtypes. Although the proneural subtype had the lowest angiogenin expression, high angiogenin expression was associated with significantly worse overall survival. However, this association was not observed in other subtypes. By performing univariate and multivariate analysis using Cox regression model, we observed that high angiogenin expression was an independent indicator of shorter overall survival in proneural glioblastoma (hazard ratio: 1.669, 95% confidence interval: 1.033-2.696, P = .036), after adjustment of age, gender, isocitrate dehydrogenase 1 mutation, temozolomide chemotherapy and radiation therapy. In addition, we also observed a correlation between elevated angiogenin expression and the hypomethylated status of its DNA. The hypermethylation group had significantly better overall survival. Conclusions: Angiogenin upregulation might serve as a biomarker for unfavorable overall survival in the proneural subtype of glioblastoma.


2018 ◽  
Vol 17 ◽  
pp. 117693511877478 ◽  
Author(s):  
Jovan Cejovic ◽  
Jelena Radenkovic ◽  
Vladimir Mladenovic ◽  
Adam Stanojevic ◽  
Milica Miletic ◽  
...  

Increased efforts in cancer genomics research and bioinformatics are producing tremendous amounts of data. These data are diverse in origin, format, and content. As the amount of available sequencing data increase, technologies that make them discoverable and usable are critically needed. In response, we have developed a Semantic Web–based Data Browser, a tool allowing users to visually build and execute ontology-driven queries. This approach simplifies access to available data and improves the process of using them in analyses on the Seven Bridges Cancer Genomics Cloud (CGC; www.cancergenomicscloud.org ). The Data Browser makes large data sets easily explorable and simplifies the retrieval of specific data of interest. Although initially implemented on top of The Cancer Genome Atlas (TCGA) data set, the Data Browser’s architecture allows for seamless integration of other data sets. By deploying it on the CGC, we have enabled remote researchers to access data and perform collaborative investigations.


2019 ◽  
Vol 21 (Supplement_6) ◽  
pp. vi91-vi92
Author(s):  
Mari Kogiso ◽  
Lin Qi ◽  
Huiyuan Zhang ◽  
Frank Braun ◽  
Yuchen Du ◽  
...  

Abstract Mutation in isocitrate dehydrogenase 1 (IDH1) occurs in >70% of WHO grade II/III astrocytomas, oligodendrogliomas and secondary glioblastoma. The mutant enzyme catalyzes the reduction of α-ketoglutaric acid to D-2-hydroxyglutaric acid, leading to cancer initiation. In this study, we examined therapeutic efficacy of SYC-435 (1-hydroxypyridin-2-one), a newly developed mutant IDH1inhibitor, in IDH1 mutant gliomas. IDH1 R132H mutation (homozygous) was detected in BT142 anaplastic oligoastrocytoma (AOA) and R132C mutation (mutant allele frequency 39–50%) in V0914AOA by pyrosequencing. Suppression of cell growth by SYC-435 was observed with more sensitive of mutant over wild-type IDH1. Patient-derived orthotopic xenograft mouse models of BT142AOA and V0914AOA were treated with vehicle, SYC-435 (15 mg/kg/day x 28 days), temozolomide (50 mg/kg/day x 5 days)/fractionated radiation (2 Gy/day x 5 days) (standard therapy), and SYC-435/standard therapy starting 2 weeks after intracranial tumor implantation. Log rank analysis showed SYC-435 alone did not alter survival times. Although standard therapy significantly prolonged survival times in both models (P< 0.0005), SYC-435/standard therapy further extended survival times (P< 0.05) in V0914AOA and exhibited similar trend in BT142AOA. Elevation of 2-HG/α-KG ratio and methylation of H3K4/H3K9 in V0914AOA tumor compared to wild-type model was detected at the end of treatments. SYC-435 with/without standard therapy tended to reduce 2-HG/α-KG ratio and dramatically reduced methylation of H3K4/H3K9. RNA-seq analysis showed sirtuin signaling pathway, mitochondrial dysfunction and oxidative phosphorylation pathways with mitochondrial DNA (mtDNA) encoded molecules were highly affected by all treatments. However, mtDNA regulation did not correlate to survival benefits. In conclusion, SYC-435 possesses anti-tumor effects that are more sensitive in IDH1 mutant gliomas and generated strong synergistic activities with standard therapies for survival benefits with reduced methylation of H3K4/H3K9. Treatments significantly affected mtDNA but significance to survival benefits remains to be elucidated. Our data support the clinical testing of SYC-435 in patients with IDH1 mutant glioma.


2021 ◽  
Author(s):  
Lihong Huang ◽  
ruoling zheng ◽  
Huasong Gong ◽  
Yongchao Qiao

Abstract Although emerging cells or animals based evidence supports an association between nuclear factor kappa-B1 (NF-κB1) cells and cancers, there has no pan-cancer analysis. Therefore, based on TCGA (The Cancer Genome Atlas) and GEO (Gene Expression Omnibus) data sets, we first studied the potential carcinogenic effect of NF-κB1 in 33 tumors. As we not only found high expression of NF-κB1 in most tumors, but also found that NF-κB1 expression is closely related to the prognosis of tumor patients. Enhanced phosphorylation of S893 was observed in several tumors, such as breast cancer, uterine corpus endometrial carcinoma or lung adenocarcinoma. In thymoma, NF-κB1 expression was relevant to CD8+ T-cell infiltration levels, and tumor-associated fibroblast infiltration has also seen in other tumors, such as uterine corpus endometrial carcinoma or glioblastoma multiforme. In addition, the functional mechanism of NF-κB1 also involves the related functions of protein processing and RNA metabolism. In this study, NF-κB1 was pan-cancer study in order to have a systematic and comprehensive understanding of the carcinogenic effect of NF-κB1 in different tumors.


2020 ◽  
Vol 93 (1109) ◽  
pp. 20190625
Author(s):  
Yuji Seo ◽  
Keisuke Tamari ◽  
Yutaka Takahashi ◽  
Kazumasa Minami ◽  
Fumiaki Isohashi ◽  
...  

Objective: Although various single genetic factors have been shown to affect radiosensitivity, high-throughput DNA sequencing analyses have revealed complex genomic landscapes in many cancer types. The aim of this study is to elucidate the association between accumulated alterations in driver and passenger genes and radiation therapy response. Methods: We used 59 human solid cancer cell lines derived from 11 organ sites. Radiation-induced cell death was measured using a standard colony-forming assay delivered as a single dose ranging from 0 to 12 Gy. Comprehensive genomic data for the cell lines were acquired from the Catalogue Of Somatic Mutations In Cancer v. 80. Random forest classifiers were constructed to predict radioresistant phenotypes using genomic features. The Cancer Genome Atlas data sets were used to evaluate the clinical impact of the genomic feature following radiotherapy. Results: The 59 cancer cell lines harbored either nucleotide variations or copy number variations in a median of 157 genes per cell. Radiosensitivity of the cancer cells was correlated with neither the number of driver gene mutations nor the number of passenger gene mutations. However, the proportion of driver gene alterations to total gene alterations in gene sets selected from the Kyoto Encyclopedia Genes and Genomes predicted radioresistant cells with sensitivity of 85% and specificity of 73%. High probability of radioresistance predicted by the model was associated with worse overall survival following definitive radiotherapy in patients of The Cancer Genome Atlas data sets. Conclusion: Cellular radiosensitivity was associated with the proportion of driver to total gene alterations in the selected oncogenic pathways, which may be a biomarker candidate for response to radiation therapy. Advances in knowledge: These findings suggest that accumulated alterations in not only driver genes but also passenger genes affect radiosensitivity.


Blood ◽  
2016 ◽  
Vol 128 (22) ◽  
pp. 1054-1054
Author(s):  
Daniel Thomas ◽  
Subarna Sinha ◽  
Steven M. Chan ◽  
Manhong Wu ◽  
Damoun Torabi ◽  
...  

Abstract Introduction: Mutations substituting arginine 132 of isocitrate dehydrogenase 1 (IDH1) are recurrent in acute myeloid leukemia (AML) and several other cancers, resulting in the aberrant production of the onco-metabolite, R-2-hydroxyglutarate (2-HG), as well as an inability to convert cytoplasmic alpha-ketoglutarate to isocitrate via reductive carboxylation. Currently, small molecules that effectively inhibit the neomorphic enzyme and abrogate the production of 2-HG, such as AG-120, are in clinical trials with promising results. However, these inhibitors have not proven to be curative in most AML cases, indicating a need for additional targeted therapies. We have previously investigated synthetic lethal vulnerabilities in IDH1-mutated AML and identified an interaction with BCL2 leading to increased susceptibility to ABT-199 (Chan et al, 2015). Synthetic lethal approaches targeting 2-HG independent metabolic vulnerabilities conferred by mutant IDH1 may complement IDH1 mutant inhibitors. Using a novel computational method (MiSL) based on Boolean implication (if-then rules) mining of pan-cancer data, we identified acetyl CoA carboxylase (ACACA) as a potential druggable target in IDH1-mutated AML. ACACA is the rate-limiting step in the de novo synthesis of fatty acids, and mutant IDH1 leads to a reduction in malonyl-CoA, a key building block for fatty acids, in a 2-HG independent manner. This finding led us to investigate a potential synthetic lethal interaction between mutant IDH1 and ACACA based on the hypothesis that the combination causes marked inhibition of fatty acid synthesis required for cell growth. Methods: Boolean implications (MiSL) were used to identify candidate synthetic lethal interactions with mutant IDH1 by isolating genes deleted only in the absence of the mutation and with differential gene expression within pan-cancer TCGA data. Validation was performed using THP-1 cells transduced with doxycycline-inducible wildtype and R132H mutant IDH1 lentiviral vectors, and primary patient IDH1-mutant and wildtype AML samples, using both shRNAs and a targeted pharmacologic inhibitor of ACACA. Metabolomics was performed using semi-targeted mass spectrometry and liquid chromatography. Finally, primary AML samples and IDH1-mutant and wildtype cancer cell lines (HT-1080, U118, U87) were transduced with validated shRNA and engrafted into NSG mice. Results: Our computational method found that IDH1 mutation and ACACA deletions were mutually exclusive in pan-cancer TCGA data, ACACA deletions resulted in lowered expression of ACACA, and ACACA was differentially over-expressed in IDH1-mutant AML compared to IDH1-wildtypeAML. Pharmacologic inhibition of ACACA with 2 uM TOFA caused a marked reduction in cell growth in the presence of IDH1 R132H (+ dox), but not in its absence (- dox; p = 0.0001). Similarly, knockdown of ACACA with independent shRNAs caused a defect in viable cell growth in the presence of IDH1 R132H (+ dox), but not in its absence (- dox) or with scrambled shRNA (p=0.009, shRNA #1 vs. scrambled; p=0.01, shRNA #2 vs. scrambled). Primary IDH1 R132 mutated purified AML blasts were selectively sensitive to TOFA treatment compared to IDH1 wildtype normal karyotype blasts (IC50 0.6 uM vs 6 uM, p=0.009) in viable growth assays. Furthermore, when transduced with lentivirus encoding shRNA to ACACA, primary IDH1-mutant AML cells exhibited markedly reduced engraftment of RFP-positive human CD45+CD33+ leukemic cells compared to scrambled non-targeting shRNA (p < 0.05, Mann-Whitney U). As predicted, IDH1-mutant AML blasts pre-treated with 10uM AG-120 (sufficient to inhibit production of detectable 2-HG) remained susceptible to ACACA inhibition in vitro. Strikingly, in vivo models of IDH1 R132C mutated, but not wildtype, sarcoma cell lines exhibited a dramatic decrease in cell growth after ACACA inhibition that was not reversible by treatment with AG-120. Finally, metabolomic profiling revealed a major perturbation in multiple phospholipid fatty acid species and decreased malonyl-CoA conferred by IDH1 R132H, consistent with our proposed mechanism. Conclusion: We have identified de novo lipogenesis through ACACA as a critical metabolic vulnerability linked to IDH1 mutation in AML and provide evidence that therapeutic inhibition of ACACA with small molecules may be beneficial in AML, as well as in other cancers with IDH1 mutations. Disclosures Majeti: Forty Seven Inc.: Consultancy, Equity Ownership, Membership on an entity's Board of Directors or advisory committees, Patents & Royalties.


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