Adenoviral Gene Expression and Replication in Human Tumor Explant Models

Author(s):  
Gunnel Halldén
Keyword(s):  
2021 ◽  
Vol 22 (12) ◽  
pp. 6322
Author(s):  
Marinela Bostan ◽  
Mirela Mihaila ◽  
Georgiana Gabriela Petrica-Matei ◽  
Nicoleta Radu ◽  
Razvan Hainarosie ◽  
...  

In head and neck cancers, the effectiveness of cisplatin (CisPt) treatment is limited by its toxicity, especially when higher doses are necessary, and the possible occurrence of cisplatin resistance. This study evaluated the effects of resveratrol (RSV) on the expression of different genes involved in the response of human tumor cells (FaDu, PE/CA-PJ49) to cisplatin therapy. Our results revealed that RSV induced apoptosis amplification in both FaDu and PE/CA-PJ49 cells and modulated the expression of specific genes differently than in normal HaCaT cells. In FaDu cells, combined CisPt + RSV treatment induced an increase in apoptosis, which was associated with an increase in c-MYC and TP53 and a decrease in BCL-2 expression. While CisPt + RSV treatment induced apoptosis in PE/CA-PJ49 cells by inhibition of BCL-2 associated with high levels of MDM-2 and subsequently led to inhibition of TP53 gene expression. Decreased c-MYC expression in PE/CA-PJ49 treated with CisPt + RSV was accompanied by cell cycle blockage in G0/G1 phase. In conclusion, RSV influences tumor cell response to CisPt by inducing apoptosis and modulating gene expression. In addition, in normal HaCaT cells, RSV was able to reduce the harmful effects of CisPt.


2020 ◽  
Vol 94 (22) ◽  
Author(s):  
Yonggang Pei ◽  
Josiah Hiu-yuen Wong ◽  
Hem Chandra Jha ◽  
Tian Tian ◽  
Zhi Wei ◽  
...  

ABSTRACT Epstein-Barr virus (EBV) was discovered as the first human tumor virus more than 50 years ago. EBV infects more than 90% of the human population worldwide and is associated with numerous hematologic malignancies and epithelial malignancies. EBV establishes latent infection in B cells, which is the typical program seen in lymphomagenesis. Understanding EBV-mediated transcription regulatory networks is one of the current challenges that will uncover new insights into the mechanism of viral-mediated lymphomagenesis. Here, we describe the regulatory profiles of several cellular factors (E2F6, E2F1, Rb, HDAC1, and HDAC2) together with EBV latent nuclear antigens using next-generation sequencing (NGS) analysis. Our results show that the E2F-Rb-HDAC complex exhibits similar distributions in genomic regions of EBV-positive cells and is associated with oncogenic super-enhancers involving long-range regulatory regions. Furthermore, EBV latent antigens cooperatively hijack this complex to bind at KLFs gene loci and facilitate KLF14 gene expression in lymphoblastoid cell lines (LCLs). These results demonstrate that EBV latent antigens can function as master regulators of this multisubunit repressor complex (E2F-Rb-HDAC) to reverse its suppressive activities and facilitate downstream gene expression that can contribute to viral-induced lymphomagenesis. These results provide novel insights into targets for the development of new therapeutic interventions for treating EBV-associated lymphomas. IMPORTANCE Epstein-Barr virus (EBV), as the first human tumor virus, infects more than 90% of the human population worldwide and is associated with numerous human cancers. Exploring EBV-mediated transcription regulatory networks is critical to understand viral-associated lymphomagenesis. However, the detailed mechanism is not fully explored. Now we describe the regulatory profiles of the E2F-Rb-HDAC complex together with EBV latent antigens, and we found that EBV latent antigens cooperatively facilitate KLF14 expression by antagonizing this multisubunit repressor complex in EBV-positive cells. This provides potential therapeutic targets for the treatment of EBV-associated cancers.


2020 ◽  
Vol 133 (20) ◽  
pp. jcs254094 ◽  
Author(s):  
Justin T. Jacob ◽  
Raji R. Nair ◽  
Brian G. Poll ◽  
Christopher M. Pineda ◽  
Ryan P. Hobbs ◽  
...  

ABSTRACTKeratin 17 (KRT17; K17), a non-lamin intermediate filament protein, was recently found to occur in the nucleus. We report here on K17-dependent differences in nuclear morphology, chromatin organization, and cell proliferation. Human tumor keratinocyte cell lines lacking K17 exhibit flatter nuclei relative to normal. Re-expression of wild-type K17, but not a mutant form lacking an intact nuclear localization signal (NLS), rescues nuclear morphology in KRT17-null cells. Analyses of primary cultures of skin keratinocytes from a mouse strain expressing K17 with a mutated NLS corroborated these findings. Proteomics screens identified K17-interacting nuclear proteins with known roles in gene expression, chromatin organization and RNA processing. Key histone modifications and LAP2β (an isoform encoded by TMPO) localization within the nucleus are altered in the absence of K17, correlating with decreased cell proliferation and suppression of GLI1 target genes. Nuclear K17 thus impacts nuclear morphology with an associated impact on chromatin organization, gene expression, and proliferation in epithelial cells.This article has an associated First Person interview with the first author of the paper.


Blood ◽  
2011 ◽  
Vol 118 (21) ◽  
pp. 3885-3885
Author(s):  
Emanuela M. Ghia ◽  
Lillian Werner ◽  
Danelle F. James ◽  
Donna Neuberg ◽  
Laura G Corral ◽  
...  

Abstract Abstract 3885 Lenalidomide has promising clinical activity in patients with chronic lymphocytic leukemia (CLL). Unlike other anti-leukemia drugs, lenalidomide is not cytotoxic for CLL cells in vitro. Similar to CD154, lenalidomide can enhance CLL-cell expression of immune co-stimulatory molecules, formation of immunologic synapse, activation of NK-cells, and generation of anti-tumor immunity. Furthermore, lenalidomide repeatedly can enhance expression of CD154, which we had observed was functionally deficient in patients with CLL. However the exact mechanism of action of lenalidomide is still under investigation. Herein, we studied the gene expression profile and microRNA (miR) of CLL cells collected from 20 patients before and at day 8 and day 15 of treatment with 2.5–5 mg of lenalidomide in the CRC014 trial. We observed significant changes in expression level of 54 genes at day 8 versus pre-treatment samples. We identified significant changes in expression level of 189 genes at day 15 versus pre-treatment samples. This included 44 of the 54 (81%) genes noted at day 8. Forty genes were expressed at significantly higher levels at day 8 and day 15 of lenalidomide treatment. We noted that 7 (17%) of these genes were related to Ras pathway and its downstream signaling pathways (i.e. NF-KappaB pathway): Ras association (RalGDS/AF-6) domain family member 4 (RASSF4), a member of RAS oncogene family (RAB13), Ras protein-specific guanine nucleotide releasing factor 1 (RASGRF1), GTPase IMAP family member 6 (GIMAP6), GTP-binding protein ras homolog gene family member S (RND1), kinase suppressor of Ras 2 (KSR2) and toll-like receptor adaptor molecule 2 (TICAM2). Ras signaling affects many cellular functions, which includes cell proliferation, apoptosis, migration, fate specification, and differentiation. In the resting cells, Ras is tightly bound to GDP (Guanosine Diphosphate), which is exchanged for GTP (Guanosine Triphosphate) upon binding to activated cell membrane receptors. In the GTP-bound form, Ras interacts with a broad range of effector proteins to induce a diverse array of biological consequences. Although typically associated with enhanced growth and transformation, activated Ras also may induce growth antagonistic effects such as senescence or apoptosis. Some of the growth-inhibitory properties of Ras are mediated via the RASSF family of Ras effector/tumor suppressors. RASSF4 is the fifth member of this family and it binds directly to activated K-Ras in a GTP-dependent manner via the effector domain, thus exhibiting the basic properties of a Ras effector. Overexpression of RASSF4 induces Ras-dependent apoptosis in 293-T cells and inhibits the growth of human tumor cell lines. Although broadly expressed in normal tissue, RASSF4 is frequently down-regulated by promoter methylation in human tumor cells and primary tumors. However changes in miR expression also may affect the level of gene expression. Therefore we analyzed miRs expression by microarray in pre treatment, day 8, and day 15 CLL samples. We observed significant changes in expression levels of 33 miRs between day 8 and pre treatment samples. We identified significant changes in expression levels of 11 miRs between day 15 and pre treatment samples. Of the 33 miRs differentially expressed at day 8, only 5 were up-regulated whereas the remaining 28 were down-regulated. Interestingly, among these 28 down-regulated miRs, 5 miRs (miR-103, miR-16, miR-30a, miR-30b and miR-342-3p) target RASSF4. Noteworthy, miR-342-3p was one of the 3 miRs (miR-26a, miR-138 and miR-342-3p) down-regulated both at day 8 and at day 15, suggesting that the down-regulation of such miR has a key role in the overexpression of RASSF4 leading to Ras-dependent apoptosis. Further studies are ongoing to elucidate lenalidomide action on CLL cells via RASSF4 overexpression. This study demonstrates that treatment with lenalidomide can induce down-regulation of miRs associated with changes in gene expression by CLL cells, leading to over-expression of RASSF4 and other Ras or GTPase related proteins that can induce growth antagonistic effects and account in part for the activity of this drug in CLL. Disclosures: James: Celgene: Research Funding. Neuberg:Celgene: Research Funding. Corral:Celgene: Employment. Kipps:Igenica: Equity Ownership, Membership on an entity's Board of Directors or advisory committees; Celgene: Consultancy, Research Funding; Abbott Industries: Research Funding; Genentech: Research Funding; GSK: Research Funding; Gilead Sciences: Consultancy, Research Funding; Amgen: Research Funding.


2009 ◽  
Vol 27 (15_suppl) ◽  
pp. e22015-e22015
Author(s):  
R. Pillai ◽  
R. Deeter ◽  
C. T. Rigl ◽  
M. Halks-Miller ◽  
W. D. Henner ◽  
...  

e22015 Background: Microarray-based gene expression has been validated as an aid in the diagnosis of tumors with uncertain origins when the specimen is frozen tissue. Microarray use has been largely limited to RNA derived from frozen specimens. This study evaluated performance of a microarray-based test in identifying the tumor type in FFPE specimens. Methods: ZFFPE human tumor specimens (n=405) representing the 15 tissue of origin sites on the Pathwork® Tissue of Origin Test panel were blinded and evenly distributed between two independent processing labs. All specimens consisted of a 10-μm-paraffin curl containing at least 60% viable tumor and were either metastatic or poorly differentiated primaries. Each specimen was processed through RNA extraction, amplification, labeling, hybridization to a Pathchip® microarray, and was scanned to generate a qualified data file. A pre-specified classification algorithm utilizing more than 1500 genes was applied to each data file to yield Similarity Scores corresponding to the 15 tissues on the test panel. Results were then unblinded and compared to the available diagnoses. Results: Of the 405 specimens, 352 yielded qualified data files (87%). Based on the top Similarity Score, the overall agreement with available diagnoses was 89% (95% CI, 85%-92%) and for each specimen an average of 12 out of 15 tissues could be ruled out with > 99% probability. Results for all tissue types were highly informative with diagnostic odds ratios ranging from 178 to 28509. Performance was similar for metastatic (n=150; 91% agreement) and poorly differentiated primary specimens (n=202; 87% agreement). Conclusions: The large size of this study allows an accurate estimate of the confidence of test predictions for both ruling in and ruling out tissues as likely sites of primary origin. The Pathwork Tissue of Origin Test makes the potential benefits of microarray-based gene expression tests for tumors with uncertain origins available for use with the most common type of histology specimen, FFPE. [Table: see text]


2005 ◽  
Vol 2005 (2) ◽  
pp. 155-159 ◽  
Author(s):  
Zhenqiu Liu ◽  
Dechang Chen ◽  
Halima Bensmail

One important feature of the gene expression data is that the number of genesMfar exceeds the number of samplesN. Standard statistical methods do not work well whenN<M. Development of new methodologies or modification of existing methodologies is needed for the analysis of the microarray data. In this paper, we propose a novel analysis procedure for classifying the gene expression data. This procedure involves dimension reduction using kernel principal component analysis (KPCA) and classification with logistic regression (discrimination). KPCA is a generalization and nonlinear version of principal component analysis. The proposed algorithm was applied to five different gene expression datasets involving human tumor samples. Comparison with other popular classification methods such as support vector machines and neural networks shows that our algorithm is very promising in classifying gene expression data.


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