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Integrative genomic analyses reveal mechanisms of glucocorticoid resistance in acute lymphoblastic leukemia.

ABSTRACT: Identification of genomic and epigenomic determinants of drug resistance provides important insights for improving cancer treatment. Using agnostic genome-wide interrogation of mRNA and miRNA expression, DNA methylation, SNPs, CNAs and SNVs/Indels in primary human acute lymphoblastic leukemia cells, we identified 463 genomic features associated with glucocorticoid resistance. Gene-level aggregation identified 118 overlapping genes, 15 of which were confirmed by genome-wide CRISPR screen. Collectively, this identified 30 of 38 (79%) known glucocorticoid-resistance genes/miRNAs and all 38 known resistance pathways, while revealing 14 genes not previously associated with glucocorticoid-resistance. Single cell RNAseq and network-based transcriptomic modelling corroborated the top previously undiscovered gene, CELSR2. Manipulation of CELSR2 recapitulated glucocorticoid resistance in human leukemia cell lines and revealed a synergistic drug combination (prednisolone and venetoclax) that mitigated resistance in mouse xenograft models. These findings illustrate the power of an integrative genomic strategy for elucidating genes and pathways conferring drug resistance in cancer cells.

SUBMITTER: Autry RJ

PROVIDER: S-EPMC7467080 | biostudies-literature | 2020 Mar

REPOSITORIES: biostudies-literature

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Integrative genomic analyses reveal mechanisms of glucocorticoid resistance in acute lymphoblastic leukemia.

Autry Robert J RJ Paugh Steven W SW Carter Robert R Shi Lei L Liu Jingjing J Ferguson Daniel C DC Lau Calvin E CE Bonten Erik J EJ Yang Wenjian W McCorkle J Robert JR Beard Jordan A JA Panetta John C JC Diedrich Jonathan D JD Crews Kristine R KR Pei Deqing D Coke Christopher J CJ Natarajan Sivaraman S Khatamian Alireza A Karol Seth E SE Lopez-Lopez Elixabet E Diouf Barthelemy B Smith Colton C Gocho Yoshihiro Y Hagiwara Kohei K Roberts Kathryn G KG Pounds Stanley S Kornblau Steven M SM Stock Wendy W Paietta Elisabeth M EM Litzow Mark R MR Inaba Hiroto H Mullighan Charles G CG Jeha Sima S Pui Ching-Hon CH Cheng Cheng C Savic Daniel D Yu Jiyang J Gawad Charles C Relling Mary V MV Yang Jun J JJ Evans William E WE

Nature cancer 20200309 3

Identification of genomic and epigenomic determinants of drug resistance provides important insights for improving cancer treatment. Using agnostic genome-wide interrogation of mRNA and miRNA expression, DNA methylation, SNPs, CNAs and SNVs/Indels in primary human acute lymphoblastic leukemia cells, we identified 463 genomic features associated with glucocorticoid resistance. Gene-level aggregation identified 118 overlapping genes, 15 of which were confirmed by genome-wide CRISPR screen. Collect ...[more]

PMID: 32885175

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Project description:Glucocorticoids are used in the curative treatment of acute lymphoblastic leukemia (ALL). Resistance to glucocorticoids is an important adverse prognostic factor in newly diagnosed ALL patients but its mechanism is unknown. Because SWI/SNF complex-mediated chromatin remodeling is required for glucocorticoid transcriptional activity in vitro, we investigated whether expression of subunits of the SWI/SNF complex was related to glucocorticoid resistance in ALL.Gene expression and in vitro sensitivity to prednisolone and dexamethasone were assessed in a training set of primary ALL cells from 177 children with newly diagnosed ALL and a validation set of cells from an independent cohort of 95 ALL patients. The global test method was used to select pathways whose genes were associated with drug sensitivity. Genes involved in chromatin remodeling were identified by use of the Gene Ontology database. Short hairpin RNA (shRNA) was used to knock down mRNA expression of SMARCA4 in glucocorticoid-sensitive Jurkat human ALL cells. Spearman rank correlation, multiple linear regression, and logistic regression were used to investigate associations between gene expression and glucocorticoid sensitivity. All statistical tests were two-sided.Statistically significant associations between decreased expression in ALL cells of genes for core subunits of the SWI/SNF complex-SMARCA4, ARID1A, and SMARCB1-and resistance to prednisolone and dexamethasone were identified in the training cohort. In the validation cohort, expression of SMARCA4 (P < .001 and r = -0.43), ARID1A (P = .016 and r = -0.29), and SMARCB1 (P = .019 and r = -0.29) in ALL cells was statistically significantly associated with dexamethasone sensitivity, and SMARCA4 expression (P = .018 and r = -0.28) was statistically significantly associated with prednisolone sensitivity. Prednisolone resistance was higher in SMARCA4 shRNA-transfected Jurkat cells (drug concentration lethal to 50% of the leukemia cells [LC(50)] = 277 microM) than in control shRNA-transfected cells (LC(50) = 174 microM, difference = 103 microM, 95% confidence interval of the difference = 100 to 106 microM; P < .001, t test).Decreased expression of as many as three subunits of the SWI/SNF complex appears to be associated with glucocorticoid resistance in primary ALL cells.

Project description:Glucocorticoids (GCs) are a central component of multi-drug treatment protocols against T and B acute lymphoblastic leukemia (ALL), which are used intensively during the remission induction to rapidly eliminate the leukemic blasts. The primary response to GCs predicts the overall response to treatment and clinical outcome. In this review, we have critically analyzed the available data on the effects of GCs on sensitive and resistant leukemic cells, in order to reveal the mechanisms of GC resistance and how these mechanisms may determine a poor outcome in ALL. Apart of the GC resistance, associated with a decreased expression of receptors to GCs, there are several additional mechanisms, triggered by alterations of different signaling pathways, which cause the metabolic reprogramming, with an enhanced level of glycolysis and oxidative phosphorylation, apoptosis resistance, and multidrug resistance. Due to all this, the GC-resistant ALL show a poor sensitivity to conventional chemotherapeutic protocols. We propose pharmacological strategies that can trigger alternative intracellular pathways to revert or overcome GC resistance. Specifically, we focused our search on drugs, which are already approved for treatment of other diseases and demonstrated anti-ALL effects in experimental pre-clinical models. Among them are some "truly" re-purposed drugs, which have different targets in ALL as compared to other diseases: cannabidiol, which targets mitochondria and causes the mitochondrial permeability transition-driven necrosis, tamoxifen, which induces autophagy and cell death, and reverts GC resistance through the mechanisms independent of nuclear estrogen receptors ("off-target effects"), antibiotic tigecycline, which inhibits mitochondrial respiration, causing energy crisis and cell death, and some anthelmintic drugs. Additionally, we have listed compounds that show a classical mechanism of action in ALL but are not used still in treatment protocols: the BH3 mimetic venetoclax, which inhibits the anti-apoptotic protein Bcl-2, the hypomethylating agent 5-azacytidine, which restores the expression of the pro-apoptotic BIM, and compounds targeting the PI3K-Akt-mTOR axis. Accordingly, these drugs may be considered for the inclusion into chemotherapeutic protocols for GC-resistant ALL treatments.

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Integrative genomic analyses reveal mechanisms of glucocorticoid resistance in acute lymphoblastic leukemia.

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Integrative genomic analyses reveal mechanisms of glucocorticoid resistance in acute lymphoblastic leukemia.

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