✦ LIBER ✦

Gene expression analysis reveals a different transcriptomic landscape in female and male breast cancer

✍ Scribed by Maurizio Callari; Vera Cappelletti; Loris De Cecco; Valeria Musella; Patrizia Miodini; Silvia Veneroni; Manuela Gariboldi; Marco Alessandro Pierotti; Maria Grazia Daidone

Publisher: Springer US
Year: 2010
Tongue: English
Weight: 385 KB
Volume: 127
Category: Article
ISSN: 0167-6806
DOI: 10.1007/s10549-010-1015-8

No coin nor oath required. For personal study only.

📜 SIMILAR VOLUMES

Differential gene expression in breast c

Differential gene expression in breast cancer cell lines and stroma–tumor differences in microdissected breast cancer biopsies revealed by display array analysis

✍ Albert S. Mellick; Chris J. Day; Stephen R. Weinstein; Lyn R. Griffiths; Nigel A 📂 Article 📅 2002 🏛 John Wiley and Sons 🌐 French ⚖ 578 KB

## Abstract To examine gene‐expression patterning in late‐stage breast cancer biopsies, we used a microdissection technique to separate tumor from the surrounding breast tissue or stroma. A DD‐PCR protocol was then used to amplify expressed products, which were resolved using PAGE and used as probe

Comparative gene expression profiling re

Comparative gene expression profiling reveals partially overlapping but distinct genomic actions of different antiestrogens in human breast cancer cells

✍ Claudio Scafoglio; Concetta Ambrosino; Luigi Cicatiello; Lucia Altucci; Mario Ar 📂 Article 📅 2006 🏛 John Wiley and Sons 🌐 English ⚖ 271 KB

## Abstract Antiestrogens used for breast cancer (BC) treatment differ among each other for the ability to affect estrogen receptor (ER) activity and thereby inhibit hormone‐responsive cell functions and viability. We used high‐density cDNA microarrays for a comprehensive definition of the gene pat

Gene expression meta-analysis identifies

Gene expression meta-analysis identifies chromosomal regions and candidate genes involved in breast cancer metastasis

✍ Mads Thomassen; Qihua Tan; Torben A. Kruse 📂 Article 📅 2008 🏛 Springer US 🌐 English ⚖ 308 KB

Gene expression meta-analysis identifies

Gene expression meta-analysis identifies chromosomal regions and candidate genes involved in breast cancer metastasis

✍ Mads Thomassen; Qihua Tan; Torben A. Kruse 📂 Article 📅 2008 🏛 Springer US 🌐 English ⚖ 116 KB

Gene expression analysis reveals a signa

Gene expression analysis reveals a signature of estrogen receptor activation upon loss of Pten in a mouse model of endometrial cancer

✍ Zenglin Lian; Pasquale De Luca; Antonio Di Cristofano 📂 Article 📅 2006 🏛 John Wiley and Sons 🌐 English ⚖ 186 KB 👁 1 views

## Abstract Loss of __PTEN__ is the earliest detectable genetic lesion in the endometrioid subtype of endometrial cancer (EEC), a tumor thought to be associated with an increase in unopposed estrogen activity. __Pten__^+/−^ mice develop endometrial neoplastic lesions with full penetrance, despite h

Identification and meta-analysis of a sm

Identification and meta-analysis of a small gene expression signature for the diagnosis of estrogen receptor status in invasive ductal breast cancer

✍ Jörg Schneider; Markus Ruschhaupt; Andreas Buneß; Martin Asslaber; Peter Regitni 📂 Article 📅 2006 🏛 John Wiley and Sons 🌐 French ⚖ 598 KB

## Abstract In breast cancer, the determination of estrogen receptor (ER) expression is crucial for the decision on therapeutic strategies. Current ER expression analysis is based on immunohistochemical (IHC) staining of ER on formalin fixed tissue sections. However, low levels of ER expression fre