Background: Although expression of the HER-
2/neuoncogene may be of some prognostic importance
in advanced ovarian cancer, its role in early-stage
disease has not been established. The current study
examined the prevalence and significance of HER-
2/neu expression in different grades of different types
of surface epithelial ovarian carcinoma.
Methods: Thirty eight female patients with surface
epithelial ovarian cancer were included in this study.
The blocks of corresponding formalin fixed, paraffinembedded
ovarian biopsies were retrieved from the
archives and hematoxylin-eosin slides of each ovarian
biopsy were reviewed and marked their grades of
differentiation , then a new sections from each sample
stained by her2/neu as immunohistochemical
technique and classified according to degree of
intensity regarding to dependable scoring system ,
also ten cases taken as control group from normal
ovarian tissue.
Results :-Thirty eight sample of surface ovarian
carcinoma were collected , twenty six were serous
ovarian carcinoma , eleven cases were mucinous
carcinoma type and one case was endometriod
carcinoma . The samples were classified according to
their histological types and according to their grading .
The mean age of SC type was 54.52 with SD 7.17
while the mean age of mucinous carcinoma was 49.36
with SD 4.9. There is no significant relation between
each type and grading system ( P Value = 0.9 ) ,also
there is no significant relation between age group
distribution and types of ovarian carcinoma ( P value
= 0.14 ).Instate that statically no significant relation
between intensity of expression Her2/neu and high
grading of each types of collected sample ( P value
=0.22) and this may be due to small sample size but
still there are obvious criteria showing that her2/neu
expression relatively increase in higher grade of each
types of studied ovarian surface epithelial carcinoma.
Conclusion :-In conclusion, the overexpression of
the HER-2/neu gene product appears to be an unusual
occurrence in early epithelial ovarian cancer and may
occur less frequently than in advanced disease. Early
ovarian cancer will eventually progress to advanced
disease if undiagnosed and untreated, then, HER-
2/neu overexpression does not appear to be a general
early event in the development of ovarian cancer.
Instead, it seems that increased expression develops in
many instances after the malignant phenotype has
already arisen.
This project aims to fabricate nanostructures (AgNPS) using the electrical exploding wire (EEW) technique using Rhodamine 6G dye as the probe molecule, investigate the effect of AgNPS on the absorption spectra and surface-enhanced Raman scattering (SERS) activities, and advance using porous silicon as an active substrate for surface-enhanced Raman scattering (SERS). X-Ray diffraction (XRD) was used to investigate the structural properties of the nanostructures (AgNPs). Field emission scanning electron microscopy (FE-SEM) was used to investigate surface morphology. A double beam UV-Vis Spectrophotometer was used to analyze the mixed R6G laser dye(of concentration 1x M) absorption spectra with the nanostructures AgNPS (of concentra
... Show MoreThe main problem when dealing with fuzzy data variables is that it cannot be formed by a model that represents the data through the method of Fuzzy Least Squares Estimator (FLSE) which gives false estimates of the invalidity of the method in the case of the existence of the problem of multicollinearity. To overcome this problem, the Fuzzy Bridge Regression Estimator (FBRE) Method was relied upon to estimate a fuzzy linear regression model by triangular fuzzy numbers. Moreover, the detection of the problem of multicollinearity in the fuzzy data can be done by using Variance Inflation Factor when the inputs variable of the model crisp, output variable, and parameters are fuzzed. The results were compared usin
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