SELDI-TOF-MS Profiling of Metastatic Phenotype in Histopathological Subtypes of Breast Cancer

Creative Commons License

Yiğitbaşı T., Çalıbaşı Koçal G., Buyukuslu N., Atahan M. K., Kupeli H., Yigit S., ...More

CURRENT PROTEOMICS, vol.15, no.3, pp.214-220, 2018 (SCI-Expanded) identifier identifier

  • Publication Type: Article / Article
  • Volume: 15 Issue: 3
  • Publication Date: 2018
  • Doi Number: 10.2174/1570164615666180309154038
  • Journal Name: CURRENT PROTEOMICS
  • Journal Indexes: Science Citation Index Expanded (SCI-EXPANDED), Scopus
  • Page Numbers: pp.214-220
  • Keywords: Breast cancer, histopathological subtypes, SELDI-TOF-MS, profiling, serum proteome, metastatic phenotype, SERUM BIOMARKERS, PROTEOMICS, DISCOVERY, DIAGNOSIS, TECHNOLOGY
  • Dokuz Eylül University Affiliated: Yes

Abstract

Background: Early detection of breast cancer is a key to the success of breast cancer management. Serum proteome analysis using Surface-Enhanced Laser Desorption/Ionization Time-Of-Flight Mass Spectrometry (SELDI-TOF-MS) generates useful information that can be utilized to describe exclusive prognostic and diagnostic biomarkers.