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003			EG-GiCUC
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008			191103s2019 ua f m 000 0 eng d
040			_aEG-GiCUC _beng _cEG-GiCUC
041	0		_aeng
049			_aDeposite
097			_aM.Sc
099			_aCai01.08.01.M.Sc.2019.Ma.S
100	0		_aMaha Rafik Ragheb Gabra Elmasry
245	1	0	_aStudy of some circulating microRNAs as potential biomarkers of breast cancer / _cMaha Rafik Ragheb Gabra Elmasry ; Supervised Tarek Mohamed Kamal Motawi , Nermin Abdelhamid Sadik , Olfat Gamil Shaker
246	1	5	_aدراسة بعض انواع الميكرو آر ان ايه كمؤشرات محتملة فى سرطان الثدى
260			_aCairo : _bMaha Rafik Ragheb Gabra Elmasry , _c2019
300			_a91 P. ; _c25cm
502			_aThesis (M.Sc.) - Cairo University - Faculty of Pharmacy - Department of Biochemistry
520			_aMicroRNAs (miRNAs) play an important role in cancer prognosis. They are small molecules, approximately 17-25 nucleotides in length, and their high stability in human serum supports their use as novel diagnostic biomarkers of cancer and other pathological conditions. In this study, we analyzed the expression patterns of miR-21 and miR-221 in the serum from a total of 100 Egyptian female subjects with breast cancer, fibroadenoma, and healthy control subjects. Using microarray-based expression profiling followed by real-time polymerase chain reaction validation, we compared the levels of the two circulating miRNAs in the serum of patients with breast cancer (n=50), fibroadenoma (n=25), and healthy controls (n=25). The miRNA SNORD68 was chosen as the housekeeping endogenous control. We found that the serum levels of miR-21 and miR-221 were significantly overexpressed in breast cancer patients compared to normal controls and fibroadenoma patients. Receiver operating characteristic (ROC) curve analysis revealed that miR-21 has greater potential in discriminating between breast cancer patients and the control group, while miR-221 has greater potential in discriminating between breast cancer and fibroadenoma patients. Classification models using k-Nearest Neighbor (kNN), Naïve Bayes (NB), and Random Forests (RF) were developed using expression levels of both miR-21 and miR-221. Best classification performance was achieved by NB Classification models, reaching 91% of correct classification. Furthermore, relative miR-221 expression was associated with histological tumor grades. Therefore, it may be concluded that both miR-21 and miR-221 can be used to differentiate between breast cancer patients and healthy controls, but that the diagnostic accuracy of serum miR-21 is superior to miR-221 for breast cancer prediction. miR-221 has more diagnostic power in discriminating between breast cancer and fibroadenoma patients
530			_aIssued also as CD
653		4	_aBreast cancer
653		4	_amiR-21
653		4	_aMiRNA
700	0		_aNermin Abdelhamid Sadik , _eSupervisor
700	0		_aOlfat Gamil Shaker , _eSupervisor
700	0		_aTarek Mohamed Kamal Motawi , _eSupervisor
856			_uhttp://172.23.153.220/th.pdf
905			_aNazla _eRevisor
905			_aSamia _eCataloger
942			_2ddc _cTH
999			_c74949 _d74949