Prognostic value of HER2/neu expression in patients with prostate cancer: a systematic review
Publish place: Reviews in Clinical Medicine، Vol: 2، Issue: 4
Publish Year: 1394
نوع سند: مقاله ژورنالی
زبان: English
View: 296
This Paper With 6 Page And PDF Format Ready To Download
- Certificate
- من نویسنده این مقاله هستم
این Paper در بخشهای موضوعی زیر دسته بندی شده است:
استخراج به نرم افزارهای پژوهشی:
شناسه ملی سند علمی:
JR_RCM-2-4_002
تاریخ نمایه سازی: 6 اسفند 1398
Abstract:
Introduction: The prognostic value of Her2-positive expression has been investigated for malignancies such as breast cancer. We aimed to study the association between Her2 gene overexpression and clinical progression of hormone-independent prostate cancer. Methods: PubMed was searched to obtain the relevant articles without language or date limit. Reference list of the relevant articles was also searched to prevent missing any relevant article. Data were extracted regarding the patients’ survival and disease-free survival. Results: Overall, 15 articles were obtained, which studied the prognostic value of Her2 overexpression in patients with prostate cancer. Based on obtained hazard ratio and calculated log-rank test, overexpression of Her2 was significantly associated with disease recurrence, overall survival and cause-specific survival. Discussion: Her2 expression can be considered as a mortality rate indicator in patients with metastatic prostate cancer and higher risk of disease recurrence (increase in PSA level) has been suggested in these patients with over expression of Her2.Conclusion: Despite various differences in included articles regarding methodology, results, sample size and individual differences, Her2 overexpression showed a positive relation with poor prognosis of prostate cancer regarding survival and disease recurrence.
Keywords:
Authors
Mozhgan Moghadas niyat
Department of Pathology, Ghaem Hospital, School of Medicine, Mashhad University of Medical Sciences, Mashhad, Iran.
مراجع و منابع این Paper:
لیست زیر مراجع و منابع استفاده شده در این Paper را نمایش می دهد. این مراجع به صورت کاملا ماشینی و بر اساس هوش مصنوعی استخراج شده اند و لذا ممکن است دارای اشکالاتی باشند که به مرور زمان دقت استخراج این محتوا افزایش می یابد. مراجعی که مقالات مربوط به آنها در سیویلیکا نمایه شده و پیدا شده اند، به خود Paper لینک شده اند :