scholarly journals Chromatin remodelling to facilitate treatment resistance in glioblastoma

2019 ◽  
Vol 21 (Supplement_4) ◽  
pp. iv7-iv7
Author(s):  
Alexander-F Bruns ◽  
Nora Rippaus ◽  
Alastair Droop ◽  
Muna Al-Jabri ◽  
Matthew Care ◽  
...  

Abstract Recent findings from our group, and the wider community, show that standard treatment does not impose an apparent bottleneck on the clonal evolution of adult glioblastoma (GBM), implying a lack of direct therapeutic opportunity. This does not negate the possibility that multiple treatment-resistance mechanisms co-exist in tumours, repeated across patients, making a combination of targeted therapies a potentially effective approach. We investigated whether treatment resistance may be driven by selection of cellular properties conferred above the level of the genome. Differential expression analysis was performed on 23 pairs of primary and recurrent tumours from patients who received standard treatment and had a local recurrence treated by surgery and second line chemotherapy. This revealed a treatment-induced shift in cell states linked to normal neurodevelopment. The latter is orchestrated by cascades of transcription factors. We, therefore, applied a bespoke gene set enrichment analysis to our paired expression data to investigate whether any factors were implicated in co-regulation of the genes that were altered through therapy. This identified a specific chromatin remodelling machinery, instrumental in normal neurogenesis. We validated our results in an independent cohort of 22 paired GBM samples. Our results suggest that the chromatin remodelling machinery is responsible for determining transcriptional hierarchies in GBM, shown elsewhere to have different treatment sensitivities such that their relative abundances are altered through treatment.

2020 ◽  
Vol 15 ◽  
Author(s):  
Wei Han ◽  
Dongchen Lu ◽  
Chonggao Wang ◽  
Mengdi Cui ◽  
Kai Lu

Background: In the past decades, the incidence of thyroid cancer (TC) has been gradually increasing, owing to the widespread use of ultrasound scanning devices. However, the key mRNAs, miRNAs, and mRNA-miRNA network in papillary thyroid carcinoma (PTC) has not been fully understood. Material and Methods: In this study, multiple bioinformatics methods were employed, including differential expression analysis, gene set enrichment analysis, and miRNA-mRNA interaction network construction. Results: First, we investigated the key miRNAs that regulated significantly more differentially expressed genes based on GSEA method. Second, we searched for the key miRNAs based on the mRNA-miRNA interaction subnetwork involved in PTC. We identified hsa-mir-1275, hsa-mir-1291, hsa-mir-206 and hsa-mir-375 as the key miRNAs involved in PTC pathogenesis. Conclusion: The integrated analysis of the gene and miRNA expression data not only identified key mRNAs, miRNAs, and mRNA-miRNA network involved in papillary thyroid carcinoma, but also improved our understanding of the pathogenesis of PTC.


2021 ◽  
Vol 12 ◽  
Author(s):  
Guomin Wu ◽  
Qihao Wang ◽  
Ting Zhu ◽  
Linhai Fu ◽  
Zhupeng Li ◽  
...  

This study aimed to establish a prognostic risk model for lung adenocarcinoma (LUAD). We firstly divided 535 LUAD samples in TCGA-LUAD into high-, medium-, and low-immune infiltration groups by consensus clustering analysis according to immunological competence assessment by single-sample gene set enrichment analysis (ssGSEA). Profile of long non-coding RNAs (lncRNAs) in normal samples and LUAD samples in TCGA was used for a differential expression analysis in the high- and low-immune infiltration groups. A total of 1,570 immune-related differential lncRNAs in LUAD were obtained by intersecting the above results. Afterward, univariate COX regression analysis and multivariate stepwise COX regression analysis were conducted to screen prognosis-related lncRNAs, and an eight-immune-related-lncRNA prognostic signature was finally acquired (AL365181.2, AC012213.4, DRAIC, MRGPRG-AS1, AP002478.1, AC092168.2, FAM30A, and LINC02412). Kaplan–Meier analysis and ROC analysis indicated that the eight-lncRNA-based model was accurate to predict the prognosis of LUAD patients. Simultaneously, univariate COX regression analysis and multivariate COX regression analysis were undertaken on clinical features and risk scores. It was illustrated that the risk score was a prognostic factor independent from clinical features. Moreover, immune data of LUAD in the TIMER database were analyzed. The eight-immune-related-lncRNA prognostic signature was related to the infiltration of B cells, CD4+ T cells, and dendritic cells. GSEA enrichment analysis revealed significant differences in high- and low-risk groups in pathways like pentose phosphate pathway, ubiquitin mediated proteolysis, and P53 signaling pathway. This study helps to treat LUAD patients and explore molecules related to LUAD immune infiltration to deeply understand the specific mechanism.


Neurosurgery ◽  
2019 ◽  
Vol 66 (Supplement_1) ◽  
Author(s):  
Robert Y North ◽  
Yan Li ◽  
Pradipta Ray ◽  
Laurence D Rhines ◽  
Claudio E Tatsui ◽  
...  

Abstract INTRODUCTION Women are at greater risk to suffer from many chronic pain conditions, more often report painful symptoms in epidemiological studies, and demonstrate greater pain sensitivity to experimentally measured pain responses. There is growing evidence from animal models for sex-specific biological differences in nociception, particularly involving primary afferent neurons, that may contribute to these differences. However, the details and extent of sex-specific differences associated with pain in human afferent neurons has not been previously investigated. METHODS Human dorsal root ganglia (DRG) and medical histories were obtained from patients undergoing spinal surgery that necessitated sacrifice of spinal nerve roots as part of standard of care. Clinical data for presence of painful radiculopathy was obtained through retrospective review of medical records or collected at study enrollment. RNA sequencing (RNA-seq) was performed on 21 DRG from 15 patients with variable presence of radicular pain reported in a corresponding dermatome. Differential expression analysis for male w/pain (MP) vs female w/pain (FP) samples was performed with thresholds for robustly expressed autosomal genes (TPM >3.0), fold change of 2.0 or higher, with false discovery rate (FDR) <0.05. RESULTS Comparison of the MP and FP cohorts yielded 575 differentially expressed genes with 426 upregulated in MP and 149 upregulated in FP. Gene set enrichment analysis demonstrated significant differences in genes related to inflammation and immune regulation (increased MAPK and BDNF signaling in MP, increased Rhodopsin-like GPCR in FP) and differing clusters of spinal cord injury-associated genes (TLR4, AIF1, OMG, C1QB increased in FP, EGR1, NR4A1, ZFP36, BTG2, MYC in MP). CONCLUSION Utilizing RNA-seq of human DRG innervating regions of pain, this study provides the first demonstration of sex-specific differences for the biology of pain within the dorsal root ganglion in humans and implicates the immune system as a critical influence in these differences.


2019 ◽  
Vol 39 (5) ◽  
Author(s):  
Housong Hong ◽  
Taisheng Liu ◽  
Huazhen Wu ◽  
Jinye Zhang ◽  
Xiaoshun Shi ◽  
...  

Abstract Background Esophageal cancer (ESCA) is one of the most common cancers in the digestive tract. Approximately 300000 people on an average die of ESCA per year worldwide. The determination of key microRNAs for the prognosis of ESCA is of indispensable significance in the clinical treatment. Methods The differentially expressed microRNAs were screened by analyzing The Cancer Genome Atlas (TCGA) database. By using the survival data of the database, we analyzed correlation between patients’ survival time and miR-550a expression levels. Differential expression analysis and gene set enrichment analysis were performed using the targeted data. Results It was found that patients with high miR-550a expression levels had shorter survival time. Data mining and signal pathway enrichment analysis of TCGA database showed that abnormal miR-550a expressions affected the recurrence of tumors by the muscle system regulation. Conclusions Through the proposed investigation, miR-550a is found to be a potential biomarker as well as non-coding therapeutic target for esophagus cancer. These results suggest that miR-550a may serve as a therapeutic target and predictor for ESCA survival.


Blood ◽  
2021 ◽  
Vol 138 (Supplement 1) ◽  
pp. 3354-3354
Author(s):  
Ton Falqués ◽  
Mattias Pilheden ◽  
Qirui Zhang ◽  
Louise Ahlgren ◽  
Helena Sturesson ◽  
...  

Abstract Our understanding of how individual mutations, whether present in all or just a fraction of the leukemia cells, affect cellular responses to therapy is limited. Leukemia mouse models provide a unique possibility to explore how therapy affects the evolution of genetically distinct clones and identify mechanisms of resistance allowing transfer to human disease. Herein, we studied how different therapies influenced survival, clonal evolution, and resistance patterns in mouse KMT2A-MLLT3 leukemia with subclonal FLT3 N676K. Bone marrow (BM) from a leukemia expressing KMT2A-MLLT3-mCherry in all cells and a FLT3 N676K-GFP in 40% of cells, were re-transplanted to sublethally irradiated recipients (Hyrenius-Wittsten el al, Nat Commun, 2018). Upon engraftment, treatment was started with either chemotherapy (cytarabine for 5 days + doxorubicin for 3 days), the FLT3 inhibitor AC220, chemotherapy followed by AC220, or AC220+Trametinib, a MEK inhibitor. Targeted treatment was given for 28 days; controls received vehicle (Fig. 1a). Survival was estimated by Kaplan-Meier and the developing leukemias were analyzed by flow-cytometry, RNA-sequencing and targeted gene re-sequencing. Each treatment prolonged survival with a median latency of 30 days for chemotherapy , 37.5 days for AC220, 42 days for chemotheraphy+AC220, and 45 days for AC220+Trametenib, versus 25.5 days for the control (Fig. 1b). Most leukemia cells expressed GFP/mCherry and mice displayed splenomegaly and leukocytosis. Next, we investigate how treatment impacted evolution of the KMT2A-MLLT3+FLT3 N676K cells and while they constituted all cells in control and chemotherapy-treated mice, the other treatments impacted their evolution. Three distinct patterns were discerned with either &gt;80% of KMT2A-MLLT3+FLT3 N676K cells, &gt;80% of cells expressing KMT2A-MLLT3 alone, or dual similar sized clones of cells expressing KMT2A-MLLT3 alone or KMT2A-MLLT3+FLT3 N676K(Fig. 1c). Eradication of the FLT3-leukemia cells was rare, but most common in mice receiving AC220+Trametinib and the frequency of dual clones increased when mice received chemotherapy followed by AC220, in line with treatment selectively affecting evolution of genetically distinct cells (Fig. 1d). To find clues to treatment resistance, RNA-sequencing (N=44) revealed segregation into three major clusters: 1) leukemias expressing KMT2A-MLLT3 alone, 2) control and chemotherapy-treated leukemias and 3) AC220 treated leukemias. Notably, a set of AC220-treated mice clustered close to the control and chemotherapy-treated mice (Fig. 1e). Flow-cytometry data showed that similar to the control and chemotherapy-treated leukemias, the myeloid BM cells of those AC220 samples, aberrantly expressed B220 (Fig. 1f). Gene set enrichment analysis revealed enrichment of gene sets correlating with stem cells and oxidative phosphorylation in those AC220-treated leukemias, suggesting a switch in cellular phenotype and metabolic state upon treatment. By contrast, the other AC220 leukemias (cluster 3), instead showed enrichment of gene sets correlating with granulocyte/macrophage progenitors and immune regulatory pathways, indicating selective dependence of distinct cellular pathways upon resistance (Fig. 1g). Finally, acquisition of AC220 resistance mutations was rare with a FLT3 D835Y and a Ptpn11 G503V detected in two leukemias only. Taken together, these results show that the specific treatment given not only affected survival of the FLT3 N676K mutated KMT2A-MLLT3 leukemia, but also impacted how the genetically distinct cells evolved. The general lack of acquired mutations upon targeted treatment suggests that target-independent mechanisms that result in alternate activation of survival/proliferation explains acquired resistance in a majority of mice and provides novel insights into treatment resistance. Figure 1 Figure 1. Disclosures No relevant conflicts of interest to declare.


F1000Research ◽  
2017 ◽  
Vol 6 ◽  
pp. 2010 ◽  
Author(s):  
Monther Alhamdoosh ◽  
Charity W. Law ◽  
Luyi Tian ◽  
Julie M. Sheridan ◽  
Milica Ng ◽  
...  

Gene set enrichment analysis is a popular approach for prioritising the biological processes perturbed in genomic datasets. The Bioconductor project hosts over 80 software packages capable of gene set analysis. Most of these packages search for enriched signatures amongst differentially regulated genes to reveal higher level biological themes that may be missed when focusing only on evidence from individual genes. With so many different methods on offer, choosing the best algorithm and visualization approach can be challenging. The EGSEA package solves this problem by combining results from up to 12 prominent gene set testing algorithms to obtain a consensus ranking of biologically relevant results.This workflow demonstrates how EGSEA can extend limma-based differential expression analyses for RNA-seq and microarray data using experiments that profile 3 distinct cell populations important for studying the origins of breast cancer. Following data normalization and set-up of an appropriate linear model for differential expression analysis, EGSEA builds gene signature specific indexes that link a wide range of mouse or human gene set collections obtained from MSigDB, GeneSetDB and KEGG to the gene expression data being investigated. EGSEA is then configured and the ensemble enrichment analysis run, returning an object that can be queried using several S4 methods for ranking gene sets and visualizing results via heatmaps, KEGG pathway views, GO graphs, scatter plots and bar plots. Finally, an HTML report that combines these displays can fast-track the sharing of results with collaborators, and thus expedite downstream biological validation. EGSEA is simple to use and can be easily integrated with existing gene expression analysis pipelines for both human and mouse data.


2021 ◽  
Author(s):  
HUA HUANG ◽  
Shanshan Xu ◽  
Youran Li ◽  
Yunfei Gu ◽  
Lijiang Ji

Abstract Background: Colorectal cancer (CRC), the commonly seen malignancy, ranks the 3rd place among the causes of cancer-associated mortality. As suggested by more and more studies, long coding RNAs (lncRNAs) have been considered as prognostic biomarkers for CRC. But the significance of hypoxic lncRNAs in predicting CRC prognosis remains unclear.Methods: The gene expressed profiles for CRC cases were obtained based on the Cancer Genome Atlas (TCGA) and applied to estimate the hypoxia score using a single-sample gene set enrichment analysis (ssGSEA) algorithm. Overall survival (OS) of high- and low-hypoxia score group was analyzed by the Kaplan–Meier (KM) plot. To identify differentially expressed lncRNAs (DELs) between two hypoxia score groups, this study carried out differential expression analysis, and then further integrated with the DELs between controls and CRC patients to generate the hypoxia-related lncRNAs for CRC. Besides, prognostic lncRNAs were screened by the univariate Cox regression, which were later utilized for constructing the prognosis nomogram for CRC by adopting the least absolute shrinkage and selection operator (LASSO) algorithm. In addition, both accuracy and specificity of the constructed prognostic signature were detected through the receiver operating characteristic (ROC) analysis. Moreover, our constructed prognosis signature also was validated in the internal testing test. This study operated gene set enrichment analysis (GSEA) for exploring potential biological functions associated with the prognostic signature. Finally, the ceRNA network of the prognostic lncRNAs was constructed.Results: Among 2299 hypoxia-related lncRNAs of CRC in total, LINC00327, LINC00163, LINC00174, SYNPR-AS1, and MIR31HG were identified as prognostic lncRNAs by the univariate Cox regression, and adopted for constructing the prognosis signature for CRC. ROC analysis showed the predictive power and accuracy of the prognostic signature. Additionally, the GSEA revealed that ECM-receptor interaction, PI3K-Akt pathway, phagosome, and Hippo pathway were mostly associated with the high-risk group. 352 miRNAs-mRNAs pairs and 177 lncRNAs-miRNAs were predicted.Conclusion: To conclude , we identified 5 hypoxia-related lncRNAs to establish an accurate prognostic signature for CRC, providing important prognostic markers and therapeutic target.


2021 ◽  
Vol 2021 ◽  
pp. 1-9
Author(s):  
Xiangfeng Jin ◽  
Haiqing Zhou ◽  
Jianfang Song ◽  
Hong Cui ◽  
Yiren Luo ◽  
...  

Background. The present study is aimed at evaluating the functional and clinical values of P3H4 in lung adenocarcinoma. Moreover, we also investigated the downstream pathways that P3H4 might participate in. Methods. The differential expression analysis was used to identify genes differentially expressed in lung adenocarcinoma tissues as compared with normal tissues. Survival analysis was used to test the association between P3H4 and survival time. Gene set enrichment analysis was conducted to explore the downstream pathways. CCK8 and transwell were employed to examine the impact of P3H4 on cell phenotypes. Results. P3H4 was highly upregulated in LUAD tissues at both RNA and protein levels. Moreover, the LUAD patients, who had high expression of P3H4, were also observed to have shorter disease-free survival and overall survival. These results demonstrated that P3H4 could be used as a prognostic biomarker for LUAD. Moreover, we also found that it was the copy number alterations (CNAs), not DNA methylation, that regulated the RNA expression of P3H4, indicating that its upregulation might be partially resulted from the CNAs. Furthermore, functional experiments revealed that the A549 and H1299 cells with siRNA treatment (siP3H4) exhibited significantly decreased cell proliferation after 24 hours, migratory ability, and invasiveness. Functionally, the upregulated proteins in the P3H4 high expression group were mainly enriched in tumor microenvironment-related pathways such as phagosome, focal adhesion, and ECM-receptor interaction and cancer-related pathways such as bladder cancer pathway, proteoglycans in cancer, and hippo signaling pathway. Conclusion. The present study systematically evaluated the functional and clinical values of P3H4 in LUAD, and explored the related biological pathways. P3H4 might promote LUAD progression through regulating tumor microenvironment-related pathways.


2019 ◽  
Vol 21 (Supplement_6) ◽  
pp. vi36-vi36
Author(s):  
Yiru Zhang ◽  
Trang Nguyen ◽  
Junfei Zhao ◽  
Enyuan Shang ◽  
Consuelo Torrini ◽  
...  

Abstract The receptor kinase, c-MET, has emerged as a target for glioblastoma therapy. However, treatment resistance evolves inevitably. By performing a global metabolite screen with metabolite set enrichment coupled with transcriptome and gene set enrichment analysis and proteomic screening, we have identified substantial reprogramming of tumor metabolism, involving oxidative phosphorylation and fatty acid oxidation (FAO) with a substantial accumulation of acyl-carnitines accompanied by an increase of PGC1a in response to genetic (shRNA and CRISPR/Cas9) and pharmacological (crizotinib) inhibition of c-MET. Extracellular flux and carbon tracing analyses (U-13C-Glucose and U-13C-Glutamine) demonstrated enhanced oxidative metabolism, which was driven by FAO and supported by increased anaplerosis of glucose carbons. These findings were observed in concert with increased number and fusion of mitochondria and production of reactive oxygen species (ROS). Genetic interference with PGC1a rescued this oxidative phenotype driven by c-MET inhibition. Silencing and chromatin immunoprecipitation experiments demonstrated that CREB regulates the expression of PGC1a in the context of c-MET inhibition. Interference with both oxidative phosphorylation (metformin, oligomycin) and beta-oxidation of fatty acids (etomoxir) enhanced the anti-tumor efficacy of c-MET inhibition. Moreover, based on a high-throughput drug screen, we show that gamitrinib along with c-MET inhibition results in synergistic cell death. Finally, utilizing patient-derived xenograft models, we provide evidence that the combination treatments (crizotinib+etomoxir and crizotinib+gamitrinib) were significantly more efficacious than single treatment without induction of toxicity. Collectively, we have unraveled the mechanistic underpinnings of c-MET inhibitor treatment and identified novel combination therapies that may enhance the therapeutic efficacy of c-MET inhibition.


2021 ◽  
Vol 11 (1) ◽  
Author(s):  
XinJie Yang ◽  
Sha Niu ◽  
JiaQiang Liu ◽  
Jincheng Fang ◽  
ZeYu Wu ◽  
...  

AbstractGlioblastoma (GBM) is a strikingly heterogeneous and lethal brain tumor with very poor prognosis. LncRNAs play critical roles in the tumorigenesis of GBM through regulation of various cancer-related genes and signaling pathways. Here, we focused on the essential role of EMT and identified 78 upregulated EMT-related genes in GBM through differential expression analysis and Gene set enrichment analysis (GSEA). A total of 301 EMT-related lncRNAs were confirmed in GBM through Spearman correlation analysis and a prognostic signature consisting of seven EMT-related lncRNAs (AC012615.1, H19, LINC00609, LINC00634, POM121L9P, SNHG11, and USP32P3) was established by univariate and multivariate Cox regression analyses. Significantly, Kaplan–Meier analysis and receiver-operating-characteristic (ROC) curve validated the accuracy and efficiency of the signature to be satisfactory. Quantitative real-time (qRT)-PCR assay demonstrated the expression alterations of the seven lncRNAs between normal glial and glioma cell lines. Functional enrichment analysis revealed multiple EMT and metastasis-related pathways were associated with the EMT-related lncRNA prognostic signature. In addition, we observed the degree of immune cell infiltration and immune responses were significantly increased in high-risk subgroup compared with low-risk subgroup. In conclusion, we established an effective and robust EMT-related lncRNA signature which was expected to predict the prognosis and immunotherapy response for GBM patients.


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