TP53 is a tumor suppressor gene involved in cell cycle progression control, DNA damage repair, genomic stability, and apoptosis. Some polymorphisms in this gene have been associated with the development of a number of cancers including breast carcinoma. PIN3 Ins16bp polymorphism has been widely studied in different populations for an association with breast cancer risk. In most case-control studies, a duplicated allele has been more frequent in cases rather than controls but there are also inconsistent results. The present study aimed to assess the association of PIN3 Ins16bp polymorphism of p53 with breast cancer risk in Moroccan population. This case-control study was performed on 105 female patients with confirmed breast cancer and 114 healthy controls. The genotype frequency was 69.5 % (A1A1), 26.7 % (A1A2), and 3.8 % (A2A2) in patients and 68.4 % (A1A1), 24.6 % (A1A2), and 7 % (A2A2) in controls. No statistically significant association was observed between PIN3 Ins16bp polymorphism and breast cancer risk with odds ratio of 1.07 (confidence interval (CI) = 0.58-1.97, p = 0.83) for the heterozygous A1A2 and 0.53 (CI = 0.15-1.85, p = 0.32) for mutated homozygous A2A2.According to our preliminary genetic analysis, PIN3 Ins16pb polymorphism could not be assessed as a marker of risk factor for predisposition to breast cancer in Moroccan population. However, a high frequency of A2 allele (19.3 %) in our population suggested that PIN3 Ins16pb polymorphism may be a valuable marker for study in other cancers with larger groups.
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http://dx.doi.org/10.1007/s13277-014-2556-y | DOI Listing |
East Mediterr Health J
December 2024
Department of Radiology, King Abdulaziz University, Jeddah, Saudi Arabia.
Pharm Dev Technol
January 2025
Department of Pharmacy, School of Chemistry and Chemical Engineering, Liaoning Normal University, Dalian 116029, China.
In this paper, the pH-sensitive targeting functional material NGR-poly(2-ethyl-2-oxazoline)-cholesteryl methyl carbonate (NGR-PEtOz-CHMC, NPC) modified quercetin (QUE) liposomes (NPC-QUE-L) was constructed. The structure of NPC was confirmed by infrared spectroscopy (IR) and nuclear magnetic resonance hydrogen spectrum (H-NMR). Pharmacokinetic results showed that the accumulation of QUE in plasma of the NPC-QUE-L group was 1.
View Article and Find Full Text PDFJ Med Econ
January 2025
UNESCO-TWAS, The World Academy of Sciences, Trieste, Italy.
Aim: Dynamic cancer control is a current health system priority, yet methods for achieving it are lacking. This study aims to review the application of system dynamics modeling (SDM) on cancer control and evaluate the research quality.
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Int J Surg
January 2025
Computer Science and Technology, Harbin Institute of Technology (Shenzhen), Shenzhen, China.
Detection of biomarkers of breast cancer incurs additional costs and tissue burden. We propose a deep learning-based algorithm (BBMIL) to predict classical biomarkers, immunotherapy-associated gene signatures, and prognosis-associated subtypes directly from hematoxylin and eosin stained histopathology images. BBMIL showed the best performance among comparative algorithms on the prediction of classical biomarkers, immunotherapy related gene signatures, and subtypes.
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