Surface-enhanced laser desorption/ionization time of flight mass spectrometry protein profiling identifies ubiquitin and ferritin light chain as prognostic biomarkers in node-negative breast cancer tumors

PROTEOMICS ◽  
2006 ◽  
Vol 6 (6) ◽  
pp. 1963-1975 ◽  
Author(s):  
Gabriel Ricolleau ◽  
Catherine Charbonnel ◽  
Laurence Lodé ◽  
Delphine Loussouarn ◽  
Marie-Pierre Joalland ◽  
...  
Keyword(s):  
Breast Cancer ◽  
Laser Desorption ◽  
Protein Profiling ◽  
Laser Desorption Ionization ◽  
Node Negative ◽  
Ionization Time ◽  
Desorption Ionization ◽  
Flight Mass Spectrometry ◽  
Node Negative Breast Cancer ◽  
Surface Enhanced

scholarly journals Surface-enhanced laser desorption/ionization time-of-flight mass spectrometry serum protein profiling to identify nasopharyngeal carcinoma

Cancer ◽  
2006 ◽  
Vol 107 (1) ◽  
pp. 99-107 ◽  
Author(s):  
David Wing Yuen Ho ◽  
Zhen Fan Yang ◽  
Birgitta Yee-Hang Wong ◽  
Dora Lai-Wan Kwong ◽  
Jonathan Shun-Tong Sham ◽  
...  
Keyword(s):  
Mass Spectrometry ◽  
Nasopharyngeal Carcinoma ◽  
Serum Protein ◽  
Laser Desorption ◽  
Protein Profiling ◽  
Laser Desorption Ionization ◽  
Ionization Time ◽  
Desorption Ionization ◽  
Flight Mass Spectrometry ◽  
Surface Enhanced

Detection of Breast Cancer by Surface-enhanced Laser Desorption/Ionization Time-of-flight Mass Spectrometry Tissue and Serum Protein Profiling

2009 ◽  
Vol 24 (3) ◽  
pp. 130-141 ◽  
Author(s):  
Marie-Christine W. Gast ◽  
Eric J. van Dulken ◽  
Thea K.G. van Loenen ◽  
Florine Kingma-Vegter ◽  
Johan Westerga ◽  
...  
Keyword(s):  
Breast Cancer ◽  
Mass Spectrometry ◽  
Laser Desorption ◽  
Laser Desorption Ionization ◽  
Tissue Samples ◽  
Ionization Time ◽  
Desorption Ionization ◽  
Flight Mass Spectrometry ◽  
Surface Enhanced ◽  
Tof Ms

Aim Novel diagnostic breast cancer markers have been extensively searched for in the proteome, using, among others, surface-enhanced laser desorption/ionization time-of-flight mass spectrometry (SELDI-TOF MS). Thus far, the majority of SELDI-TOF MS studies have investigated samples originating from biorepositories, which hampers biomarker discovery as they likely suffer from variable adherence to collection protocols. Material and methods We investigated breast cancer (n=75) and control (n=26) serum and tissue samples, collected prospectively by rigorous adherence to a strictly defined protocol. Sera were collected preoperatively and postoperatively, and serum and tissue samples were analyzed by SELDI-TOF MS using the IMAC30 Ni and Q10 pH 8 array. Results Three serum peaks were significantly associated with breast cancer, while in tissue, 27 discriminative peaks were detected. Several peak clusters gradually increased or decreased in intensity from healthy to benign to cancer, or with increasing cancer stage. The constructed classification trees had a tenfold cross-validated performance of 67% to 87%. Two tissue peaks were identified as N-terminal albumin fragments. These are likely to have been generated by (breast) cancer-specific proteolytic activity in the tumor microenvironment. Conclusions These albumin fragments can potentially provide insights into the pathophysiological mechanisms associated with, or underlying, breast cancer, and aid in improving breast cancer diagnosis.

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