Browsing by Author "Gaballah, Ahmed"

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    PTEN rs701848 Polymorphism is Associated with Trastuzumab Resistance in HER2-positive Metastatic Breast Cancer and Predicts Progression-free Survival
    (Elsevier, 2023-01) El-Khazragy, Nashwa; Gaballah, Ahmed; Bakkar, Ashraf; Hemida, Eman H.A; Samir, Nehal; Tarek, Marwa; Adly, Heba M; Saleh, Saleh A.K; Hanna, Demiana H
    The high mortality rate of HER-2+ve breast cancer (BC) is linked to Trastuzumab resistance, which is linked to PTEN rs701848 variants. In 160 patients with metastatic HER2+ve BC who were treated with trastuzumab, the PTEN genotypes were determined. Obtained results revealed that the PTEN locus is a major predictor of Trastuzumab resistance, and the C allele is linked to a higher risk. Background: Trastuzumab is an effective therapeutic approach for HER2-positive metastatic breast cancer (BC). However, a considerable number of patients develop resistance along the course of the disease. PTEN rs701848 polymorphisms are associated with an increased risk of developing cancer and have a potential role in predict- ing drug resistance. Objective: We studied the significance of PTEN rs701848 variants as significant predictors for trastuzumab resistance in HER2-positive metastatic BC patients. Therefore, considering their value in predicting clinical outcomes. Materials and Methods: This case-control study was conducted among female patients with HER2-positive metastatic breast cancer who underwent Trastuzumab therapy during the period from March 2017 to December 2020. PTEN rs701848 genotypes were analyzed in 160 HER2-positive metastatic breast cancer who received Trastuzumab therapy and clinically monitored for therapeutic response. Results: PTEN rs701848 is deemed a significant predictor of Trastuzumab resistance and an independent prognostic factor of progression-free survival (PPFS). In particular, the C allele is associated with increased risk for Trastuzumab resistance and shorter PFS as compared to the homozygous TT genotype. Conclusion: PTEN rs701848 is significant predictor of trastuzumab resistance. Therefore, their value in predicting clinical outcomes is recommended Clinical Breast Cancer, Vol. 000, No.xxx, 1–9 © 2022 Elsevier Inc. All rights reserved.