Your browser doesn't support javascript.
loading
Show: 20 | 50 | 100
Results 1 - 1 de 1
Filter
Add more filters

Database
Language
Affiliation country
Publication year range
1.
EBioMedicine ; 11: 183-198, 2016 Sep.
Article in English | MEDLINE | ID: mdl-27569656

ABSTRACT

BACKGROUND: Metastatic breast cancer exhibits diverse and rapidly evolving intra- and inter-tumor heterogeneity. Patients with similar clinical presentations often display distinct tumor responses to standard of care (SOC) therapies. Genome landscape studies indicate that EGFR/HER2/RAS "pathway" activation is highly prevalent in malignant breast cancers. The identification of therapy-responsive and prognostic biomarkers is paramount important to stratify patients and guide therapies in clinical oncology and personalized medicine. METHODS: In this study, we analyzed matched pairs of tumor specimens collected from 182 patients who received neoadjuvant systemic therapies (NST). Statistical analyses were conducted to determine whether EGFR/HER2/RAS pathway biomarkers and clinicopathological predictors, alone and in combination, are prognostic in breast cancer. FINDINGS: SIAH and EGFR outperform ER, PR, HER2 and Ki67 as two logical, sensitive and prognostic biomarkers in metastatic breast cancer. We found that increased SIAH and EGFR expression correlated with advanced pathological stage and aggressive molecular subtypes. Both SIAH expression post-NST and NST-induced changes in EGFR expression in invasive mammary tumors are associated with tumor regression and increased survival, whereas ER, PR, and HER2 were not. These results suggest that SIAH and EGFR are two prognostic biomarkers in breast cancer with lymph node metastases. INTERPRETATION: The discovery of incorporating tumor heterogeneity-independent and growth-sensitive RAS pathway biomarkers, SIAH and EGFR, whose altered expression can be used to estimate therapeutic efficacy, detect emergence of resistant clones, forecast tumor regression, differentiate among partial responders, and predict patient survival in the neoadjuvant setting, has a clear clinical implication in personalizing breast cancer therapy. FUNDING: This work was supported by the Dorothy G. Hoefer Foundation for Breast Cancer Research (A.H. Tang); Center for Innovative Technology (CIT)-Commonwealth Research Commercialization Fund (CRCF) (MF14S-009-LS to A.H. Tang), and National Cancer Institute (CA140550 to A.H. Tang).


Subject(s)
Breast Neoplasms/metabolism , Breast Neoplasms/mortality , ErbB Receptors/metabolism , Nuclear Proteins/metabolism , Signal Transduction , Ubiquitin-Protein Ligases/metabolism , ras Proteins/metabolism , Biomarkers, Tumor , Breast Neoplasms/pathology , Breast Neoplasms/therapy , Disease Progression , ErbB Receptors/genetics , Female , Gene Expression , Humans , Immunohistochemistry , Kaplan-Meier Estimate , Models, Biological , Neoadjuvant Therapy , Neoplasm Grading , Neoplasm Metastasis , Neoplasm Staging , Nuclear Proteins/genetics , Prognosis , Proportional Hazards Models , Treatment Outcome , Ubiquitin-Protein Ligases/genetics , ras Proteins/genetics
SELECTION OF CITATIONS
SEARCH DETAIL