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العنوان
Biochemical studies on some biomarkers for colorectal cancer /
المؤلف
Rokaia, Mohamed Hussein Emam.
هيئة الاعداد
مشرف / رقية محمد حسين إمام
مشرف / محمد مصطفى عمران
مشرف / خالد مصطفى أبو العينين
مشرف / خالد مصطفى أبو العينين
الموضوع
colorectal cancer. bowel cancer.
تاريخ النشر
2021.
عدد الصفحات
188 p. :
اللغة
الإنجليزية
الدرجة
ماجستير
التخصص
Biochemistry, Genetics and Molecular Biology (miscellaneous)
تاريخ الإجازة
1/1/2021
مكان الإجازة
جامعة حلوان - كلية العلوم - كيمياء حيوية
الفهرس
Only 14 pages are availabe for public view

from 188

from 188

Abstract

Abstract
Colorectal cancer (CRC) is one of the most frequently diagnosed tumors worldwide with high mortality and morbidity. There is an urgent need for biomarkers to improve the outcomes and early detection of CRC. The sensitivity of traditional CRC tumor markers (carcinoembryonic antigen (CEA) and carbohydrate antigen 19-9 (CA19-9)) is not ideal. The levels of leucine-rich-alpha-2-glycoprotein1 (LRG1) and stem cell factor (SCF) were evaluated, but the combined value of both markers is unclear. This case-control study included four groups: CRC patients before treatments (n=22), CRC patients after treatments (n=26), 20 patients with benign tumor and 20 healthy subjects. Levels of routine biochemical and hematological markers, traditional tumor markers (CA19.9 and CEA) and candidate markers (LRG1 and SCF) were determined. Univariate, multivariate logistic regression analysis and area receiver-operating characteristic analysis (ROC) were used for evaluation the diagnostic performances of single and combined markers.
Results: No significance difference in traditional tumor markers CEA, CA 19.9 and neutrophils – lymphocyte ratio (NLR) were found among study groups. SCF, LRG1 and platelet – lymphocyte ratio (PLR) were significantly decreased (p<0.05) in non-treated CRC patients than after treated CRC. The combination between SCF and LRG1 showed highly significant difference in CRC patients compared with benign, healthy subjects and among CRC groups (treated and non-treated) (p<0.0001). The highest areas under curve (AUCs) were observed when LRG1 was used as a single predictor for discriminated CRC from healthy (0.87), benign (0.84) and non-treated CRC vs treated CRC (0.82). AUCs were jumped to 0.90, 0.84 and 0.84 when LRG1 and SCF were combined.