Publications by authors named "A F Moustafa"

Human epidermal growth factor receptor 2 (HER2) is a subtype of breast cancer that is associated with poor prognosis and low survival rates. The discovery of novel anti-cancer agents to manage this subtype of cancer is still needed. ( is a plant species that is native to Qatar.

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The uterine endometrium consists of luminal epithelium, glandular epithelium, and stromal cells, with uterine glands playing a pivotal role in pregnancy success among mammals. Uterine glands secrete essential factors that regulate embryo development and implantation; however, their cellular biology remains poorly understood. This study presents a refined method for isolating three distinct endometrial cell types with high purity, with a specific emphasis on glandular epithelial cells.

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Introduction Colorectal cancer (CRC) continues to pose a major public health challenge, ranking among the most common malignancies globally and being a leading cause of cancer-related mortality. Most CRCs originate from adenomatous polyps, underscoring the importance of detecting and removing these precancerous growths as a key preventive measure against CRC. In particular, large colonic polyps (≥10 mm) warrant special attention due to their increased risk of progressing to malignancy compared to smaller polyps.

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There has been a recent surge in schizotypy and metacognition research. Metacognition is an umbrella term for higher-order thought processes. Here, we focussed on maladaptive metacognitive beliefs, which are beliefs related to one's thought processes and often play an important role in the preponderance of psychological disorders.

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Objective: Our study presents a novel analysis of the oncogenes and tumor suppressor proteins directly modulated by E6/E7 of high-risk HPV types 16 and 18, in colorectal cancer (CRC).

Methods: HCT 116 (KRAS mutant) & HT-29 (TP53 mutant) cell models of CRC were transduced with E6/E7 of HPV16 and HPV18, individually and in combination. Further, we utilized a liquid chromatography mass spectrometry (LC-MS/MS) approach to analyze and compare the proteomes of both CRC cell models.

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