Current best practices and rationalistic perspectives in causation-based prevention, early detection and multidisciplinary treatment of breast and gastric cancer

Gastric & Breast Cancer e-journal
DOI: 10.2122/gbc.2012.0223


Transcriptome mapping: ER-binding sites dynamics reveal new strategy for breast cancer biomarkers

Dimitrios H. Roukos, MD, PhD.

Affiliation: 1 Personalized Cancer Genomic Medicine, Ioannina University, Ioannina, Greece.
2 Department of Surgery, Ioannina University School of Medicine, Ioannina, 45110 Greece.

T: +302651007423, F: +302651007094


Since there is no abstract available we provide the first paragraph.
Tamoxifen and aromatase inhibitors (AIs) save the lives of million of women with estrogen receptor (ER)- positive breast cancer. However, a substantial proportion of ER-positive breast cancer patients relapses and dies from the disease despite current treatment guidelines. Traditional biomedical research has not yet discovered biomarkers for predicting response to tamoxifen or other selective estrogen receptor modulator ( SERM ) and/or AIs. Transcriptome sequencing with next-generations sequencing (NGS) technologies provide now a novel strategy for discovering robust predictive tools. For the first time a new study published in Nature [1] is moving from cell lines and models to ER-positive patients' samples NGS-based analysis reveals the potential of discovering transcriptome tools that are capable of SERM or AIs response prediction.

(Citation: Gastric & Breast Cancer 2011; 11(2): 50-52)



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last update: 23 April 2012