scholarly journals Neonatal and adult O4+oligodendrocyte lineage cells display different growth factor responses and different gene expression patterns

2009 ◽  
Vol 87 (15) ◽  
pp. 3390-3402 ◽  
Author(s):  
Grace Lin ◽  
Angeliki Mela ◽  
Eileen M. Guilfoyle ◽  
James E. Goldman
Keyword(s):  
Gene Expression ◽  
Growth Factor ◽  
Expression Patterns ◽  
Gene Expression Patterns

scholarly journals Identification of the possible therapeutic targets in the insulin-like growth factor 1 receptor pathway in a cohort of Egyptian hepatocellular carcinoma complicating chronic hepatitis C type 4

2020 ◽  
Vol 14 (1) ◽  
pp. 1-11
Author(s):  
Nada M.K. Mabrouk ◽  
Dalal M. Elkaffash ◽  
Mona Abdel-Hadi ◽  
Salah-ElDin Abdelmoneim ◽  
Sameh Saad ElDeen ◽  
...  
Keyword(s):  
Gene Expression ◽  
Hepatocellular Carcinoma ◽  
Hepatitis C ◽  
Growth Factor ◽  
Signaling Pathway ◽  
Pathway Analysis ◽  
Expression Patterns ◽  
Gene Expression Patterns ◽  
Insulin Like Growth Factor ◽  
Tumor Characteristics

Background: Molecular targeted drugs are the first line of treatment of advanced hepatocellular carcinoma (HCC) due to its chemo- and radioresistant nature. HCC has several well-documented etiologic factors that drive hepatocarcinogenesis through different molecular pathways. Currently, hepatitis C virus (HCV) is a leading cause of HCC. Therefore, we included a unified cohort of HCV genotype 4-related HCCs to study the expression levels of genes involved in the insulin-like growth factor 1 receptor (IGF1R) pathway, which is known to be involved in all aspects of cancer growth and progression. Aim: Determine the gene expression patterns of IGF1R pathway genes in a cohort of Egyptian HCV-related HCCs. Correlate them with different patient/tumor characteristics. Determine the activity status of involved pathways. Methods: Total ribonucleic acid (RNA) was extracted from 32 formalin-fixed paraffin-embedded tissues of human HCV-related HCCs and 6 healthy liver donors as controls. Quantitative reverse transcription polymerase chain reaction (qRT-PCR) using RT2 Profiler PCR Array for Human Insulin Signaling Pathway was done to determine significantly up- and downregulated genes with identification of most frequently coregulated genes, followed by correlation of gene expression with different patient/tumor characteristics. Finally, canonical pathway analysis was performed using the Ingenuity Pathway Analysis software. Results: Six genes – AEBP1, AKT2, C-FOS, PIK3R1, PRKCI, SHC1 – were significantly overexpressed. Thirteen genes – ADRB3, CEBPA, DUSP14, ERCC1, FRS3, IGF2, INS, IRS1, JUN, MTOR, PIK3R2, PPP1CA, RPS6KA1 – were significantly underexpressed. Several differentially expressed genes were related to different tumor/patient characteristics. Nitric oxide and reactive oxygen species production pathway was significantly activated in the present cohort, while the growth hormone signaling pathway was inactive. Conclusions: The gene expression patterns identified in this study may serve as possible therapeutic targets in HCV-related HCCs. The most frequently coregulated genes may serve to guide combined molecular targeted therapies. The IGF1R pathway showed evidence of inactivity in the present cohort of HCV-related HCCs, so targeting this pathway in therapy may not be effective.

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