Abstract P1-09-03: Clinically relevant gene expression subsets deciphered from breast carcinomas classified by quantified expression levels of estrogen and progestin receptors

Autor: Michael W. Daniels, Zohair R. Hameed, James L. Wittliff, William A. Stern

Publikováno v: Cancer Research. 80:P1-09

Background: Prior to standardization of IHC parameters by CAP/ASCO Guidelines in 2010 (Hammond et al., Arch Pathol Lab Med), ER/PR measurements were highly variable (e.g., fixation/staining, observer scoring). While serving as the National Reference

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::6a2530c1f45125730679445c303cd5e5
https://doi.org/10.1158/1538-7445.sabcs19-p1-09-03

Abstract 4622: Deciphering gene subsets associated with clinical outcomes of early stage breast carcinoma patients treated with Tamoxifen

Autor: D. Alan Kerr, Zohair R. Hameed, James L. Wittliff, Michael W. Daniels

Publikováno v: Cancer Research. 78:4622-4622

NSABP Protocol B-09 reported primary breast carcinomas expressing estrogen (ER) and progestin receptors (PR) exhibited increased likelihood of response to Tamoxifen. However, some patients with early stage lesions relapse within 10 years. We identifi

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::609bba85fd188488d334bb6a5083c67e
https://doi.org/10.1158/1538-7445.am2018-4622

Abstract 669: Quantification of estrogen (ER) and progestin receptor (PR) as well as HER2/neu proteins and gene expression improves discrimination of clinical behavior by triple positive breast carcinomas

Autor: James L. Wittliff, D. Alan Kerr, Michael W. Daniels, Zohair R. Hameed

Publikováno v: Cancer Research. 77:669-669

IHC analyses of ER, PR and HER2 proteins are used as clinical biomarkers for breast cancer management. However, IHC provides semi-quantitative results sometimes complicated by variation in methods and interpretation. Our goal was to ascertain clinica

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::6e0a33250f9d79fba61694ee0b55fbf5
https://doi.org/10.1158/1538-7445.am2017-669

Simulation approaches for magnetic resonance imaging sensors.

Autor: Korvink, J.G., Zhenyu Liu, Peter, A., Del Tin, L., Feng Jia, Zohair, R., El-Kair, I.

Publikováno v: EuroSimE 2009 - 10th International Conference on Thermal, Mechanical & Multi-Physics Simulation & Experiments in Microelectronics & Microsystems; 2009, p1-8, 8p

Tento výsledek nelze pro nepřihlášené uživatele zobrazit.
K zobrazení výsledku je třeba se přihlásit.