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Mar 2022 DOI 10.14302/issn.2572-3030.jcgb-22-4121
Introduction Genomic mutations in TP53 gene in association with etiological risk factors have been associated with oral carcinogenesis. Herein, we screened for genomic variants of TP53 predisposing to oral cancers in Senegalese patients. Methodology 88 patients with confirmed diagnostic were recruited after informed consent. Blood samples were collected from each patient to perform DNA extraction, PCR amplification of all coding exons of TP53 followed by Sanger Sequencing of PCR products. Nucleotide sequences were analysed with Genalys software. 94 blood donors with no cancer diagnosis were also recruited as controls for association study between the most common variants identified in patients and predisposition to oral cancers. Results Sequence analysis showed that 52.27% of patients carry at least one mutation in TP53. Eleven genomic variants were identified, 7 variants already reported in databases and 4 new variants. The most recurrent variants in this study already reported as cancer-related variants were Pro72Arg (rs1042522; Arginine frequency estimated at 31.26%) and a 16 bp insertion in intron 3 (rs59758982; allelic frequency estimated at 26.25%). Haplotype analysis between these variants showed a strong linkage disequilibrium (D’ = 0.999, r2 = 0.153 and p-value < 0.05). However, association study did not find any significant association with susceptibility to oral cancer (p-value > 0.05). Conclusion Our study highlighted that despite the absence of association between the two most common cancer-related variants in Senegalese patients diagnosed with oral cancer, their strong LD suggested that they could be transmitted together in a common haplotype which may be implicated in oral carcinogenesis.
Dec 2018 DOI 10.14302/issn.2326-0793.jpgr-18-2422
This review summarizes tumor development in p53‑deficient mouse models, discussing tissue specificity, cooperating pathways, and insights into human cancer biology.
Dec 2025 DOI 10.14302/issn.2997-2108.jcc-25-5657
Viral infections contribute to a significant proportion of human cancers, with human papillomavirus (HPV) being one of the most well-established oncogenic viruses. This review summarizes HPV biology, transmission, classification, molecular mechanisms of carcinogenesis, epidemiology of HPV-associated cancers, and current and emerging preventive and therapeutic approaches. particularly HPV-16 and HPV-18, drives malignant transformation through the E6 and E7 oncoproteins, which disrupt tumor suppressor pathways p53 and Rb. Prophylactic vaccination programs have demonstrated remarkable success in reducing HPV-related disease burden, but disparities in coverage remain. Cutting-edge strategies such as CRISPR/Cas9 and RNA-based therapeutics offer promising avenues for treating established infections. Integrating these biomedical advances with robust public health initiatives is essential to ultimately eliminate HPV-associated cancers worldwide (Figure1).
Jan 2019 DOI 10.14302/issn.2641-5526.jmid-18-2529
Discrimination of case-control status based on gene expression differences has potential to identify novel pathways relevant to neurodegenerative diseases including Parkinson’s disease (PD). In this paper we applied two different novel algorithms to predict dysregulated pathways of gene expression across several different regions of the brain in PD and controls. The Fisher’s ratio sampler uses the Fisher’s ratio of the most discriminatory genes as prior probability distribution to sample the genetic networks and their likelihood (accuracy) was established via Leave-One-Out-Cross Validation (LOOCV). The holdout sampler finds the minimum-scale signatures corresponding to different random holdouts, establishing their likelihood using the validation dataset in each holdout. Phenotype prediction problems have by genesis a very high underdetermined character. We used both approaches to sample different lists of genes that optimally discriminate PD from controls and subsequently used gene ontology to identify pathways affected by disease. Both algorithms identified common pathways of Insulin signaling, FOXA1 Transcription Factor Network, HIF-1 Signaling, p53 Signaling and Chromatin Regulation/Acetylation. This analysis provides new therapeutic targets to treat PD.
Mar 2017 DOI 10.14302/issn.2326-0793.jpgr-17-1447
Factors that contribute to the onset of atherosclerosis may be elucidated by bioinformatic techniques applied to multiple sources of genomic and proteomic data. The results of genome wide association studies, such as the CardioGramPlusC4D study, expression data, such as that available from expression quantitative trait loci (eQTL) databases, along with protein interaction and pathway data available in Ingenuity Pathway Analysis (IPA), constitute a substantial set of data amenable to bioinformatics analysis. This study used bioinformatic analyses of recent genome wide association data to identify a seed set of genes likely associated with atherosclerosis. The set was expanded to include protein interaction candidates to create a network of proteins possibly influencing the onset and progression of atherosclerosis. Local average connectivity (LAC), eigenvector centrality, and betweenness metrics were calculated for the interaction network to identify top gene and protein candidates for a better understanding of the atherosclerotic disease process. The top ranking genes included some known to be involved with cardiovascular disease (APOA1, APOA5, APOB, APOC1, APOC2, APOE, CDKN1A, CXCL12, SCARB1, SMARCA4 and TERT), and others that are less obvious and require further investigation (TP53, MYC, PPARG, YWHAQ, RB1, AR, ESR1, EGFR, UBC and YWHAZ). Collectively these data help define a more focused set of genes that likely play a pivotal role in the pathogenesis of atherosclerosis and are therefore natural targets for novel therapeutic interventions.
Jan 2016 DOI 10.14302/issn.2574-4372.jesr-15-768
The human OCT4 gene encodes a transcription factor that maintains pluripotency and self-renewal in Embryonic Stem (ES) cells. This gene generates several known transcripts by alternative promoter and alternative splicing (OCT4A, OCT4B and OCT4B1). Even though OCT4A is the main isoform responsible for stemness properties, several recent controversial studies claimed that this isoform is expressed in cancer cell lines and differentiated cells, in addition to the ES cells. Our in silico studies revealed that OCT4A promoter has a completely match binding site for hsa-miR-1285. This microRNA was detected in the human embryonic stem cells for the first time and further studies showed that miR-1285 can target some tumor suppressor genes,(TSGs), such as p53, and oncogenic genes, such as TGM2. Additional bioinformatics analysis of short RNA sequencing data from ENCODE cell lines showed that miR-1285 is expressed in different cancer cell lines and differentiated cells. In this study, we supposed that miR-1285 potentially can bind to the OCT4 promoter and might regulate transcription of the OCT4 in the human cancer cell lines and differentiated cells.