Background: HPV 16 is the primary etiologic agent of cervical cancer and the presence of L1 and E6 oncoproteins are largely responsible for its virulence. It was the objective of this study to identify HPV16 isolates from suspected cases of cervical cancer at Specialist Hospital Sokoto and Sir Yahaya Memorail Hospiatal Birnin Kebbi, Nigeria and also to identifypotent HPV16’s L1 protein inhibitor using in silico analysis. Methods: A total of 144 cervical samples consisting of 21 low grade squamous intraepithelial lesion, 6 high grade lesion and 117 negative pap smears were collected. The samples were subjected for molecular detection using PCR targeting E6 gene of the virus. Data generated for the molecular prevalence was statistically analyzed using Chi-square method. AutoDock Vina was used to carry out the molecular docking between 2hr5 and Chicoric acid, curcumin and Echinacoside. Results: Out of the 144 samples, 24 samples were positive for the PCR representing 16.9% molecular prevalence rate. There is statistically significant association between cyto-diagnoses and presence of HPV16 (P < 0.05). Docking analysis showed that the Chicoric acid components of Echinacea purpurae have strong binding affinity (-8.7 kcal/mol) to the L1 protein of the HPV. Conclusion: This study provides data on HPV 16 epidemiology in northern Nigeria, and also provides novel evidence for consideration on certain interacting residues, when synthesizing Anti-HPV compounds in the wet lab. Keywords: HPV; Echinacea purpurae; chicoric acid; echinacoside; curcumin.
Several studies have been carried out to determine the complexity of ovarian cancer as a disease with multiple distinct types that presents with symptoms similar to those in other gynaecological, gastrointestinal and genitourinary diseases. The malignant variants of common epithelial and germ cell tumours constitute the bulk of ovarian tumours and are classified histologically based on the presumed tissue of origin. Molecular diagnosis is now aiding in the early detection and treatment of ovarian cancer even before metastasis sets in. Thus studying the molecular profiles of each type is key to understanding the origin and pathogenesis as well as genetic aberrations and mutations involved in the development of the disease. Ovarian cancers originate either from the ovary or fallopian tube and are found majorly to harbour mutations in PTEN, KRAS, BRAF, BRCA1, BRCA2 and TP53, with TP53 mutations being the most frequent. Genetic testing for ovarian cancers involves testing for the aforementioned genes, and in the nearest future, an advanced method that would detect these genes in blood and uterine lavage is expected. There is an urgent need for further studies on the detailed mechanisms underlying the roles of mutant TP53 in ovarian cancer development and its potential role in therapeutic interventions.
Background The Human papillomavirus (HPV) causes sexually transmitted diseases. Among several types of HPV variants, HPV 16 is listed as a high-risk group, the primary cervical cancer etiologic agent, which causes life-threatening disease among women worldwide. The presence of L1, E6 and E7 encoded oncoproteins are largely responsible for virulence and pathogenicity that leads to cervical lesions. This menace is required to be curbed by designing an anti-cancerous drugs. The protein receptor-inhibitor interaction adopted using in silico analysis is very important in drug designing. It was the objective of this study to identify HPV16 isolates from suspected cases of cervical cancer at SH Sokoto and SYMH Birnin Kebbi hospitals and also to identify potent HPV16’s L1 protein inhibitor using in silico analysis of Echinacoside, curcumin and Cichoric acid against the viral protein. Methods A total of 140 cervical smear samples consisting of 21 low grade squamous intraepithelial lesion, 6 high grade lesion and 117 negative pap smears were collected. The samples were subjected for molecular detection using PCR targeting E6 and L1 genes of the virus. Positive samples were sequenced using Sanger sequencing platform. All the sequencing data were analysed using bioedit software while data generated for the molecular prevalence was statistically analyzed using Chi-square. A comprehensive HPV L1 protein homology model was designed to predict the L1 protein interaction mechanism with natural inhibitory molecules using a structural drug design approach. AutoDock Vina was used to carry out the molecular docking. Results Out of the 140 samples, 24 samples were positive for the PCR representing 16.7% molecular prevalence rate. There is statistically significant association between cyto-diagnoses and presence of HPV16 ( P ˂0.05). The highest prevalence rate of 12(50% of positive sample) was recorded among women between 30-39 years old. Docking analysis showed that the Chicoric acid components of Echinacea purpurae have strong binding affinity to the L1 protein of the HPV. Conclusion This study provides data on HPV 16 epidemiology in northern Nigeria, High-risk type 16 HPV variant was identified and also provides novel evidence for consideration on certain interacting residues, when synthesizing Anti-HPV compounds in the wet lab.
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