RT Journal Article
T1 Combined Label-Free Quantitative Proteomics and microRNA Expression Analysis of Breast Cancer Unravel Molecular Differences with Clinical Implications
A1 Fresno Vara, Juan Angel
A1 Main Yaque, Paloma
A1 y, otros
AB Better knowledge of the biology of breast cancer has allowed the use of new targeted therapies, leading to improved outcome. High-throughput technologies allow deepening into the molecular architecture of breast cancer, integrating different levels of information, which is important if it helps in making clinical decisions. microRNA (miRNA) and protein expression profiles were obtained from 71 estrogen receptor-positive (ER+) and 25 triple-negative breast cancer (TNBC) samples. RNA and proteins obtained from formalin-fixed, paraffin-embedded tumors were analyzed by RT-qPCR and LC/MS-MS, respectively. We applied probabilistic graphical models representing complex biologic systems as networks, confirming that ER+ and TNBC subtypes are distinct biologic entities. The integration of miRNA and protein expression data unravels molecular processes that can be related to differences in the genesis and clinical evolution of these types of breast cancer. Our results confirm that TNBC has a unique metabolic profile that may be exploited for therapeutic intervention.
PB American Association of Cancer Research
SN 0008-5472
YR 2015
FD 2015-06-01
LK https://hdl.handle.net/20.500.14352/24121
UL https://hdl.handle.net/20.500.14352/24121
NO Instituto de Salud Carlos III, Spanish Economy and Competitiveness Ministry, Spain
NO PRIME-XS project - European Union
NO Farmaindustria, through the Cooperation Program in Clinical and Translational Research of the Community of Madrid
DS Docta Complutense
RD 10 abr 2025