» Articles » PMID: 32271809

Breast Cancer Diagnosis by Analysis of Serum N-glycans Using MALDI-TOF Mass Spectroscopy

Overview
Journal PLoS One
Date 2020 Apr 10
PMID 32271809
Citations 7
Authors
Affiliations
Soon will be listed here.
Abstract

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.

Citing Articles

Serum N-glycomic profiling identifies candidate biomarker panels for assessing coronary artery stenosis severity.

Wu L, Liu H, Xu X, Huang C, Li Y, Xiao X Heliyon. 2024; 10(7):e29443.

PMID: 38633623 PMC: 11021961. DOI: 10.1016/j.heliyon.2024.e29443.


Glycosylation Alterations in Cancer Cells, Prognostic Value of Glycan Biomarkers and Their Potential as Novel Therapeutic Targets in Breast Cancer.

Peric L, Vukadin S, Petrovic A, Kuna L, Puseljic N, Sikora R Biomedicines. 2022; 10(12).

PMID: 36552021 PMC: 9775348. DOI: 10.3390/biomedicines10123265.


Diagnosis and prognosis of breast cancer by high-performance serum metabolic fingerprints.

Huang Y, Du S, Huang W, Liu W, Zhang M, Li N Proc Natl Acad Sci U S A. 2022; 119(12):e2122245119.

PMID: 35302894 PMC: 8944253. DOI: 10.1073/pnas.2122245119.


Mass spectrometry in clinical glycomics: The path from biomarker identification to clinical implementation.

de Haan N, Wuhrer M, Ruhaak L Clin Mass Spectrom. 2021; 18:1-12.

PMID: 34820521 PMC: 8600986. DOI: 10.1016/j.clinms.2020.08.001.


Applications and continued evolution of glycan imaging mass spectrometry.

McDowell C, Lu X, Mehta A, Angel P, Drake R Mass Spectrom Rev. 2021; 42(2):674-705.

PMID: 34392557 PMC: 8946722. DOI: 10.1002/mas.21725.


References
1.
Haakensen V, Steinfeld I, Saldova R, Asadi Shehni A, Kifer I, Naume B . Serum N-glycan analysis in breast cancer patients--Relation to tumour biology and clinical outcome. Mol Oncol. 2015; 10(1):59-72. PMC: 5528923. DOI: 10.1016/j.molonc.2015.08.002. View

2.
Li Q, Li G, Zhou Y, Zhang X, Sun M, Jiang H . Comprehensive N-Glycome Profiling of Cells and Tissues for Breast Cancer Diagnosis. J Proteome Res. 2019; 18(6):2559-2570. DOI: 10.1021/acs.jproteome.9b00073. View

3.
Zhao H, Zou L, Geng X, Zheng S . Limitations of mammography in the diagnosis of breast diseases compared with ultrasonography: a single-center retrospective analysis of 274 cases. Eur J Med Res. 2015; 20:49. PMC: 4406115. DOI: 10.1186/s40001-015-0140-6. View

4.
Gustafsson O, Briggs M, Condina M, Winderbaum L, Pelzing M, McColl S . MALDI imaging mass spectrometry of N-linked glycans on formalin-fixed paraffin-embedded murine kidney. Anal Bioanal Chem. 2014; 407(8):2127-39. PMC: 4357650. DOI: 10.1007/s00216-014-8293-7. View

5.
Tyanova S, Cox J . Perseus: A Bioinformatics Platform for Integrative Analysis of Proteomics Data in Cancer Research. Methods Mol Biol. 2018; 1711:133-148. DOI: 10.1007/978-1-4939-7493-1_7. View