scholarly journals CHANGES IN THE MGMT GENE EXPRESSION IN PATIENTS WITH PRIMARY GLIOBLASTOMA AFTER RELAPSE. INFLUENCE OF CLINICAL CHARACTERISTICS AND MGMT EXPRESSION ON SURVIVAL OF PATIENTS

2021 ◽  
Vol 20 (3) ◽  
pp. 5-17
Author(s):  
M. V. Matsko ◽  
S. S. Sklyar ◽  
A. Yu. Ulitin ◽  
D. E. Matsko ◽  
E. N. Imyanitov ◽  
...  
2020 ◽  
Author(s):  
xuyang ma ◽  
Ying Ding ◽  
Li Zeng

Abstract Background: The potential correlation between H2AFY (also known as MacroH2A1) and the clinical characteristics of hepatocellular carcinoma (HCC) patients was analysed through gene expression profiles and clinical data in The Cancer Genome Atlas (TCGA) database, and the diagnostic and prognostic value of H2AFY in HCC was discussed. Methods: The gene expression data of HCC and the corresponding clinical characteristics of HCC patients were downloaded from the TCGA database. The differences in H2AFY in normal liver tissues and HCC were analysed. The relationship between H2AFY and clinical characteristics was analysed by Wilcoxon signed-rank test, logistic regression and Kruskal-Wallis test. The Kaplan-Meier method and the Cox regression method were used to analyse the relationship between overall survival and clinical characteristics of the patients. An ROC curve was used to predict the diagnostic value of H2AFY in HCC. Gene set enrichment analysis (GSEA) was used to analyse the pathway enrichment of H2AFY. Result: Compared with normal liver tissues, H2AFY was significantly highly expressed in HCC. H2AFY was positively correlated with the age, clinical stage, G stage (grade) and T stage (tumor stage) of liver cancer patients. Higher H2AFY expression predicted a poor prognosis in HCC patients. Cox regression analysis suggested that H2AFY was an independent risk factor for the prognosis of HCC patients. The ROC curve suggested that H2AFY had certain diagnostic value in HCC. GSEA suggested that H2AFY was correlated with lipid metabolism and a variety of tumour pathways. Conclusion: Our study showed that H2AFY was significantly overexpressed in HCC. H2AFY may be a potential diagnostic and prognostic marker for HCC, and high expression of H2AFY predicts a poor prognosis in patients with HCC.


2019 ◽  
Vol 39 (6) ◽  
Author(s):  
Si-ying Zhou ◽  
Wei Chen ◽  
Su-jin Yang ◽  
Zi-han Xu ◽  
Jia-hua Hu ◽  
...  

AbstractBreast cancer (BCa) is one of the most frequently diagnosed cancers and leading cause of cancer deaths among females worldwide. Circular RNAs (circRNAs) are a new class of endogenous regulatory RNAs characterized by circular shape resulting from covalently closed continuous loops that are capable of regulating gene expression at transcription or post-transcription levels. With the unique structures, circRNAs are resistant to exonuclease RNase R and maintain stability more easily than linear RNAs. Recently, an increasing number of circRNAs are discovered and reported to show different expression in BCa and these dysregulated circRNAs were correlated with patients’ clinical characteristics and grade in the progression of BCa. CircRNAs participate in the bioprocesses of carcinogenesis of BCa, including cell proliferation, apoptosis, cell cycle, tumorigenesis, vascularization, cell invasion, migration as well as metastasis. Here we concentrated on biogenesis and function of circRNAs, summarized their implications in BCa and discussed their potential as diagnostic and therapeutic targets for BCa.


2006 ◽  
Vol 24 (33) ◽  
pp. 5223-5233 ◽  
Author(s):  
Piergiorgio Modena ◽  
Elena Lualdi ◽  
Federica Facchinetti ◽  
Joris Veltman ◽  
James F. Reid ◽  
...  

Purpose To delineate clinically relevant molecular signatures of intracranial ependymoma. Materials and Methods We analyzed 24 primary intracranial ependymomas. For genomic profiling, microarray-based comparative genomic hybridization (CGH) was used and results were validated by fluorescent in situ hybridization and loss of heterozygosity mapping. We performed gene expression profiling using microarrays, real-time quantitative reverse transcriptase polymerase chain reaction, and methylation analysis of selected genes. We applied class comparison analyses to compare both genomic and expression profiling data with clinical characteristics. Results A variable number of genomic imbalances were detected by array CGH, revealing multiple regions of recurrent gain (including 2q23, 7p21, 12p, 13q21.1, and 20p12) and loss (including 5q31, 6q26, 7q36, 15q21.1, 16q24, 17p13.3, 19p13.2, and 22q13.3). An ependymoma-specific gene expression signature was characterized by the concurrent abnormal expression of developmental and differentiation pathways, including NOTCH and sonic hedgehog signaling. We identified specific differentially imbalanced genomic clones and gene expression signatures significantly associated with tumor location, patient age at disease onset, and retrospective risk for relapse. Integrated genomic and expression profiling allowed us to identify genes of which the expression is deregulated in intracranial ependymoma, such as overexpression of the putative proto-oncogene YAP1 (located at 11q22) and downregulation of the SULT4A1 gene (at 22q13.3). Conclusion The present exploratory molecular profiling study allowed us to refine previously reported intervals of genomic imbalance, to identify novel restricted regions of gain and loss, and to identify molecular signatures correlating with various clinical variables. Validation of these results on independent data sets represents the next step before translation into the clinical setting.


Blood ◽  
2015 ◽  
Vol 126 (23) ◽  
pp. 491-491
Author(s):  
Bethany Tesar ◽  
Reina Improgo ◽  
Josephine L. Klitgaard ◽  
Reuma Magori-Cohen ◽  
Lijian Yu ◽  
...  

Abstract The L265P somatic mutation in the Myeloid Differentiation Primary Response 88 (MYD88) gene is recurrently observed in CLL; although this mutation has been demonstrated to have functional effects in multiple hematologic malignancies, its role in CLL is largely unknown. To address this gap in knowledge, we examined the clinical and biological impact of MYD88 L265P mutations in CLL by analysis of gene expression, cell viability and Toll-like Receptor 9 (TLR9)-induced signaling and cytokine production. Out of 160 CLL patient samples subjected to whole-exome sequencing and previously reported by our group, 10 were found to harbor MYD88 L265P mutations, all of which possessed mutated immunoglobulin heavy chain variable (IGHV) regions (p = 0.006). While IGHV mutated patients are generally known to exhibit better prognosis compared to IGHV unmutated patients, the presence of MYD88 L265P within the IGHV mutated subset was associated with earlier age of disease onset (p = 0.04) and worse overall survival (OS; p = 0.00017), comparable to IGHV unmutated samples with wild-type (WT) MYD88. No association with the presence of chromosome 13q deletions (p = 0.26) or prior treatment at the time of sampling (p = 0.10) was observed. Gene expression microarray analysis restricted to the IGHV mutated subset (MYD88 WT: n = 76; MYD88 L265P: n=10) and conducted using a PAM-based approach demonstrated that MYD88 L265P mutation was associated with differential expression of 28 genes, whose expression was then examined across all CLL samples with available gene expression data (n = 150). Using Cox modeling, a composite gene signature score was determined for each patient, who were subsequently dichotomized based on median signature. This method was able to predict both OS and event free survival (EFS) in a univariable analysis (OS: p = 1.2E-06; EFS: p = 7.6E-13). Statistical significance was maintained when a multivariable analysis was conducted, adjusting for known CLL risk factors including age, IGHV status, ZAP70 expression, cytogenetics and prior treatment (p < 0.0001 for OS and EFS). The univariable (OS: p = 1.6E-05; EFS: p = 5.7E-10) and multivariable findings (p < 0.003 for OS and EFS) were further confirmed in an independent validation cohort (n = 87). To identify a more parsimonious gene set, we applied a L1 penalized proportional hazards model to the discovery and validation cohorts, separately. This approach identified 5 overlapping genes (BCAT1, BMP6, CHAD, IKZF2, and TRIO) between the two cohorts that appear to be the main drivers of the predictive signature. To inhibit MYD88 signaling in CLL cells, we treated MYD88 L265P and WT cells (n = 6/group, matched for clinical characteristics: IGHV, ZAP70, cytogenetic, and treatment status) in vitro with a highly-selective small molecule IRAK4 inhibitor, ND-2158 (Nimbus Therapeutics). ND-2158 significantly reduced cell viability in a dose dependent manner in both MYD88 WT and L265P primary CLL cells, either alone or in combination with a fixed concentration of the B-cell receptor (BCR) pathway inhibitor, ibrutinib. The TLR9 agonist CpG was used to stimulate signaling through the MYD88 pathway in vitro. ND-2158 inhibition of CpG-induced IRAK4 activation in CLL cells (n = 3/group, matched for clinical characteristics) blocked IRAK1 and IκBα degradation and led to a dose-dependent decrease in the ratio of phospho/total proteins. No significant differences were noted between MYD88 WT and L265P samples, consistent with our cell viability results. CLL-secreted levels of IL-6, IL-10 and CCL3 were measured in culture supernatants treated with ND-2158+/- CpG stimulation (n = 4/group, matched for clinical characteristics). CpG stimulated cytokine levels (p < 0.0001 for all cytokines+/- CpG) were significantly inhibited in a dose-dependent manner by ND-2158. Again, no significant differences were observed between MYD88 WT and L265P CLL with respect to cytokine production, either at baseline or in CpG-stimulated DMSO treated control cells. In conclusion, the differences in clinical outcome and gene expression observed between MYD88 WT and L265P IGHV mutated CLLs indicate a functional role for MYD88 L265P in CLL. The inferior clinical outcome in IGHV mutated CLL with L265P mutation suggests that MYD88 signaling may be a relevant target in CLL. ND-2158 inhibits signaling in the MYD88 pathway, suggesting potential therapeutic utility of IRAK4 inhibitors in CLL. Disclosures Chaudhary: Nimbus Therapeutics: Equity Ownership. Miao:Nimbus Therapeutics: Employment. Westlin:Nimbus Therapeutics: Employment.


2018 ◽  
Vol 428 ◽  
pp. 77-89 ◽  
Author(s):  
Zhiyun Yu ◽  
Yong Chen ◽  
Shiqiang Wang ◽  
Pengliang Li ◽  
Guangtong Zhou ◽  
...  
Keyword(s):  

Cancers ◽  
2019 ◽  
Vol 11 (4) ◽  
pp. 494 ◽  
Author(s):  
Qian Liu ◽  
Pingzhao Hu

Artificial intelligence-based unsupervised deep learning (DL) is widely used to mine multimodal big data. However, there are few applications of this technology to cancer genomics. We aim to develop DL models to extract deep features from the breast cancer gene expression data and copy number alteration (CNA) data separately and jointly. We hypothesize that the deep features are associated with patients’ clinical characteristics and outcomes. Two unsupervised denoising autoencoders (DAs) were developed to extract deep features from TCGA (The Cancer Genome Atlas) breast cancer gene expression and CNA data separately and jointly. A heat map was used to view and cluster patients into subgroups based on these DL features. Fisher’s exact test and Pearson’ Chi-square test were applied to test the associations of patients’ groups and clinical information. Survival differences between the groups were evaluated by Kaplan–Meier (KM) curves. Associations between each of the features and patient’s overall survival were assessed using Cox’s proportional hazards (COX-PH) model and a risk score for each feature set from the different omics data sets was generated from the survival regression coefficients. The risk scores for each feature set were binarized into high- and low-risk patient groups to evaluate survival differences using KM curves. Furthermore, the risk scores were traced back to their gene level DAs weights so that the three gene lists for each of the genomic data points were generated to perform gene set enrichment analysis. Patients were clustered into two groups based on concatenated features from the gene expression and CNA data and these two groups showed different overall survival rates (p-value = 0.049) and different ER (Estrogen receptor) statuses (p-value = 0.002, OR (odds ratio) = 0.626). All the risk scores from the gene expression and CNA data and their concatenated one were significantly associated with breast cancer survival. The patients with the high-risk group were significantly associated with patients’ worse outcomes (p-values ≤ 0.0023). The concatenated risk score was enriched by the AMP-activated protein kinase (AMPK) signaling pathway, the regulation of DNA-templated transcription, the regulation of nucleic acid-templated transcription, the regulation of apoptotic process, the positive regulation of gene expression, the positive regulation of cell proliferation, heart morphogenesis, the regulation of cellular macromolecule biosynthetic process, with FDR (false discovery rate) less than 0.05. We confirmed DAs can effectively extract meaningful genomic features from genomic data and concatenating multiple data sources can improve the significance of the features associated with breast cancer patients’ clinical characteristics and outcomes.


2016 ◽  
Vol 2016 ◽  
pp. 1-7 ◽  
Author(s):  
Seon-Jin Yoon ◽  
Jin-Kyoung Shim ◽  
Jong Hee Chang ◽  
Ju Hyung Moon ◽  
Tae-Hoon Roh ◽  
...  

The isolation from brain tumors of tumor mesenchymal stem-like cells (tMSLCs) suggests that these cells play a role in creating a microenvironment for tumor initiation and progression. The clinical characteristics of patients with primary glioblastoma (pGBM) positive for tMSLCs have not been determined. This study analyzed samples from 82 patients with pGBM who had undergone tumor removal, pathological diagnosis, and isolation of tMSLC from April 2009 to October 2014. Survival, extent of resection, molecular markers, and tMSLC culture results were statistically evaluated. Median overall survival was 18.6 months, 15.0 months in tMSLC-positive patients and 29.5 months in tMSLC-negative patients (P=0.014). Multivariate cox regression model showed isolation of tMSLC (OR = 2.5, 95% CI = 1.1~5.6,P=0.021) showed poor outcome while larger extent of resection (OR = 0.5, 95% CI = 0.2~0.8,P=0.011) has association with better outcome. The presence of tMSLCs isolated from the specimen of pGBM is associated with the survival of patient.


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