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Pregled bibliografske jedinice broj: 1009858

Razlike u procjeni diobe stanica raka dojke imunohistokemijskim bojenjem jezgrina Ki67 antigena


Breški, Anita
Razlike u procjeni diobe stanica raka dojke imunohistokemijskim bojenjem jezgrina Ki67 antigena, 2019., diplomski rad, diplomski, Medicinski fakultet, Osijek


CROSBI ID: 1009858 Za ispravke kontaktirajte CROSBI podršku putem web obrasca

Naslov
Razlike u procjeni diobe stanica raka dojke imunohistokemijskim bojenjem jezgrina Ki67 antigena
(Variation in breast carcinoma cell proliferation assessment according to immunohistochemical nuclear antigen Ki67 staining)

Autori
Breški, Anita

Vrsta, podvrsta i kategorija rada
Ocjenski radovi, diplomski rad, diplomski

Fakultet
Medicinski fakultet

Mjesto
Osijek

Datum
04.07

Godina
2019

Stranica
25

Mentor
Dmitrović, Branko

Ključne riječi
karcinom dojke ; Ki67 ekspresija ; predikcija ; proliferacijski marker ; prognoza ; preporuke
(breast cancer ; Ki67 expression ; prediction ; proliferation marker ; prognosis ; recommendations)

Sažetak
Study objective: To determine whether the variability in the Ki67 antigen detection prevents the correct classification of breast cancer into subgroups depending on the detected Ki67. Study design: Cross-sectional retrospecitve study. Subjects and methods: The study was conducted on 50 tumor tissue samples of patients with stage T1 invasive breast cancer of no special type, diagnosed at the Osijek Clinical Hospital Centre in 2017. Histology slides were immunohistochemically dyed with the Ki67 antigen photographed, and a share of Ki67 positive cells was detected on at least 500 tumor cells in different regions of the tumors: in the peripheral and central regions, within the "hot spots" and beyond, as well as in three randomly selected regions. Statistical data analysis was performed using cluster analysis and by measuring the Friedman’s ANOVA and the Kendall's Coefficient of Concordance. Results: The cluster analysis has categorized 7 methods of sampling Ki67 into two groups: group 1 (tumor margins, outside hot spots, random sample 2, and tumor centre) χ2 = 18.98, p < 0.001, with a coefficient of concordance of 0.12, and group 2 (hot spots, random samples 1 and 3) χ2 = 56.28, p < 0.001, with a coefficient of concordance of 0.56. In the second phase of the statistical data analysis, the methods in which subgroups of 50 observed patients were grouped according to the first 4 and last 3 indicators were compared. These 2 methods determined 2 subgroups and then there was a statistical comparison as to whether the similar indicators were distributed equally among the patients (χ2 = 31.53, p < 0.001). In 5 patients the indicators were distributed unequally, meaning that the variation was 10 %. Conclusion: There was a 10 % variability in the data obtained from the Ki67 breast cancer antigen reading which prevents the exact classification of breast cancers into the subgroups on which the determination of patient treatment depends.

Izvorni jezik
Hrvatski

Znanstvena područja
Kliničke medicinske znanosti



POVEZANOST RADA


Projekti:
VIF2018-MEFOS-02

Ustanove:
Klinički bolnički centar Osijek,
Medicinski fakultet, Osijek,
Fakultet za dentalnu medicinu i zdravstvo, Osijek

Profili:

Avatar Url Branko Dmitrović (mentor)


Citiraj ovu publikaciju:

Breški, Anita
Razlike u procjeni diobe stanica raka dojke imunohistokemijskim bojenjem jezgrina Ki67 antigena, 2019., diplomski rad, diplomski, Medicinski fakultet, Osijek
Breški, A. (2019) 'Razlike u procjeni diobe stanica raka dojke imunohistokemijskim bojenjem jezgrina Ki67 antigena', diplomski rad, diplomski, Medicinski fakultet, Osijek.
@phdthesis{phdthesis, author = {Bre\v{s}ki, Anita}, year = {2019}, pages = {25}, keywords = {karcinom dojke, Ki67 ekspresija, predikcija, proliferacijski marker, prognoza, preporuke}, title = {Razlike u procjeni diobe stanica raka dojke imunohistokemijskim bojenjem jezgrina Ki67 antigena}, keyword = {karcinom dojke, Ki67 ekspresija, predikcija, proliferacijski marker, prognoza, preporuke}, publisherplace = {Osijek} }
@phdthesis{phdthesis, author = {Bre\v{s}ki, Anita}, year = {2019}, pages = {25}, keywords = {breast cancer, Ki67 expression, prediction, proliferation marker, prognosis, recommendations}, title = {Variation in breast carcinoma cell proliferation assessment according to immunohistochemical nuclear antigen Ki67 staining}, keyword = {breast cancer, Ki67 expression, prediction, proliferation marker, prognosis, recommendations}, publisherplace = {Osijek} }




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