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Detection of human papilloma virus in breast cancer biopsies using PCR and immunohistochemistry at the santa rosa hospital during 2019. | LitMetric

Objectives.: Motivation for the study: there are few studies about high-risk Human Papillomavirus in patients with breast cancer, which is currently the most recurrent neoplasm in Peru. Main findings: greater presence of Human Papillomavirus was evidenced in infiltrating ductal carcinoma and grade III samples. In addition, real-time polymerase chain reaction showed greater diagnostic accuracy than immunohistochemistry. Implications: a better understanding of the presence of Human Papillomavirus and its possible relationship with breast cancer will contribute to improve preventive measures for this disease. The aim of this study was to determine the presence of Human Papillomavirus (HPV) type 16 and 18 in biopsies of paraffin-embedded breast tissue from patients with clinically diagnosed breast cancer. 32 paraffin-embedded breast cancer biopsies were analyzed in order to detect HPV DNA by real-time PCR, the primers were directed at the E6 gene. The histological type, histological grade and overexpression of C-erB2 and Ki-67 were evaluated by immunohistochemistry. 84.38% (27) of the samples were positive for HPV, 25% (8) were positive for HPV-16 and 59.38% (19) were positive for HPV-18. Mixed infection was found in 15.63% (5) of the samples. Overexpression of C-erbB2 and Ki-67 was seen in 6.25% (2) of the samples positive for HPV-16 and in 15.63% (5) samples positive for HPV-18. HPV-16 and HPV-18 DNA was detected in the biopsy samples analyzed by real-time PCR.

Materials And Methods.: Cross-sectional descriptive study with an analytical component, based on clinical records of patients at the Neurological Institute of Colombia, between 2013 and 2021. Progression to disability in MS patients was defined as the time to an increase of at least 0.5 points in the EDSS (Expanded Disability Status Scale) score, sustained for at least six months. A Cox regression model was used to estimate the survival function and Hazard Ratios (HR) with their 95% confidence intervals (95% CI).

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http://www.ncbi.nlm.nih.gov/pmc/articles/PMC11397775PMC
http://dx.doi.org/10.17843/rpmesp.2022.394.11069DOI Listing

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