Assessment of estrogen and progesterone receptors and their combined phenotypes in 287 breast carcinomas
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00209805%3A_____%2F99%3A00000053" target="_blank" >RIV/00209805:_____/99:00000053 - isvavai.cz</a>
Result on the web
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DOI - Digital Object Identifier
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Alternative languages
Result language
angličtina
Original language name
Assessment of estrogen and progesterone receptors and their combined phenotypes in 287 breast carcinomas
Original language description
Using Spearman rank correlation, ER by both methods correlated significantly (p<0,0001), PR weakly (p=0,04). Using thresholds (IHC 10%, LSA: ER 10, PR 15 fmol/mg), concordance was 64% for ER and 53% for PR. As to combined phenotypes, ER + PR+ IHC found ER + PR+ and ER- PR- in 89% tumors, LSA in 66%, ER+ PR- in 10% and 6%, ER- PR+ under 1% and in 28%, respectively. Conclusions: IHC and LSA are comparable for ER, not for PR detection. IHC greatly reduces frequency of imaginary phenotype ER-PR+, thus reflects the ER function better than LSA. IHC appears as method of choice for routine. Nevertheless, LSA can be still useful for research since free receptor fractions may be important in specific biological pathways, e.g. apoptosis.
Czech name
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Czech description
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Classification
Type
J<sub>x</sub> - Unclassified - Peer-reviewed scientific article (Jimp, Jsc and Jost)
CEP classification
FD - Oncology and haematology
OECD FORD branch
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Result continuities
Project
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Continuities
Z - Vyzkumny zamer (s odkazem do CEZ)
Others
Publication year
1999
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Name of the periodical
Breast Cancer Research and Treatment
ISSN
0167-6806
e-ISSN
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Volume of the periodical
57
Issue of the periodical within the volume
1
Country of publishing house
NL - THE KINGDOM OF THE NETHERLANDS
Number of pages
1
Pages from-to
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UT code for WoS article
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EID of the result in the Scopus database
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