Open AccessBreast cancer diagnosis by analysis of serum N-glycans using MALDI-TOF mass spectroscopy
Author(s) -
Sae Byul Lee,
Shambhunath Bose,
Sei Hyun Ahn,
Byung Ho Son,
Beom Seok Ko,
Hee Jeong Kim,
Il Yong Chung,
Jisun Kim,
Woochang Lee,
Marcia G. Ko,
Kyungsoo Lee,
Suhwan Chang,
Hyoung Soon Park,
Jong Won Lee,
Dong-Chan Kim
Publication year - 2020
Publication title -
plos one
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.99
H-Index - 332
ISSN - 1932-6203
DOI - 10.1371/journal.pone.0231004
Subject(s) - breast cancer , glycan , receiver operating characteristic , cancer , medicine , oncology , area under the curve , stage (stratigraphy) , bioinformatics , gastroenterology , pathology , biology , microbiology and biotechnology , glycoprotein , paleontology
Blood and serum N -glycans can be used as markers for cancer diagnosis, as alterations in protein glycosylation are associated with cancer pathogenesis and progression. We aimed to develop a platform for breast cancer (BrC) diagnosis based on serum N -glycan profiles using MALDI-TOF mass spectroscopy. Serum N -glycans from BrC patients and healthy volunteers were evaluated using NosQuest’s software “NosIDsys.” BrC-associated “NosID” N -glycan biomarkers were selected based on abundance and NosIDsys analysis, and their diagnostic potential was determined using NosIDsys and receiver operating characteristic curves. Results showed an efficient pattern recognition of invasive ductal carcinoma patients, with very high diagnostic performance [area under the curve (AUC): 0.93 and 95% confidence interval (CI): 0.917–0.947]. We achieved effective stage-specific differentiation of BrC patients from healthy controls with 82.3% specificity, 84.1% sensitivity, and 82.8% accuracy for stage 1 BrC and recognized hormone receptor-2 and lymph node invasion subtypes based on N -glycan profiles. Our novel technique supplements conventional diagnostic strategies for BrC detection and can be developed as an independent platform for BrC screening.