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
DRUG TARGET INSIGHTS
Authors: Mabrouk, Nada M. K.; Elkaffash, Dalal M.; Abdel-Hadi, Mona; Abdelmoneim, Salah-ElDin; ElDeen, Sameh Saad; Gewaifel, Gihan; Elella, Khaled A.; Osman, Maher; Baddour, Nahed
Abstract
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.
Nuclear Protein Phosphatase 1 alpha (PP1A) Expression is Associated with Poor Prognosis in p53 Expressing Glioblastomas
PATHOLOGY & ONCOLOGY RESEARCH
Authors: Shastry, Arun H.; Thota, Balaram; Srividya, Mallavarapu R.; Arivazhagan, Arimappamagan; Santosh, Vani
Abstract
Background Protein phosphatase 1 alpha (PP1A) is an enzyme intimately associated with cell cycle, the over expression of which has been demonstrated in glioblastoma (GBM). Further, the nuclear expression of PP1A has been shown to be highly specific to GBM. In addition, PP1A has been shown to be a connecting molecule in the p53 containing GBM sub network. In view of these, we evaluated the prognostic relevance of PP1A. Methods GBM tissues were examined for protein expression of PP1A by immunohistochemistry (IHC). Nuclear expression of PP1A was scored in all tumor tissue samples. Survival analyses were performed by Cox-Regression and Kaplan-Meier survival analysis with Log Rank tests. IDH1, ATRX and p53 IHC and stratification of all GBM cases were performed and subgroup specific evaluation of nuclear PP1A correlation with overall and progression free survival was performed. Results PP1A protein expression showed no correlation with prognosis in all cases of GBM or on stratification based on IDH1 or ATRX expression. However on p53 stratification nuclear PP1A expression emerged as strong independent predictor of poor overall survival only in p53 positive GBMs both in univariate and multivariate analysis. Conclusions While PP1A expression uniquely associates with poor prognosis only in p53 expressing GBMs, there is a notable absence of such correlation in p53 negative GBMs; thus skewing the overall relation of this molecule with prognosis in GBM. PP1A emerging as a strong prognostic marker in p53 expressing GBMs, enables us to foresee this molecule as a potential therapeutic target.