Lee, Han-Byoel Kang, Un-Beom Moon, Hyeong-Gon Lee, Jiwoo Lee, Kyung-Min Yi, Minju Park, Yong Sun Lee, Jong Won Yu, Jong-Han Choi, Seung Ho Cho, Sang Heon Lee, Cheolju Han, Wonshik Noh, Dong-Young 2024-01-20T06:00:42Z 2024-01-20T06:00:42Z 2021-09-04 2015-11 0250-7005 https://pubs.kist.re.kr/handle/201004/124854 Aim: We aimed to develop a plasma protein signature for breast cancer diagnosis by using multiple reaction monitoring (MRM)-based mass spectrometry. Materials and Methods: Based on our previous studies, we selected 124 proteins for MRM. Plasma samples from 80 patients with breast cancer and 80 healthy women were used to develop a plasma proteomic signature by an MRM approach. The proteomic signature was then validated in plasma samples from 100 patients with breast cancer and 100 healthy women. Results: A total of 56 proteins were optimized for MRM. In the verification cohort, 11 proteins exhibited significantly differential expression in plasma from patients with breast cancer. Three proteins (neural cell adhesion molecule L1-like protein, apolipoprotein C-1 and carbonic anhydrase-1) with highest statistical significance which gave consistent results for patients of stage I and II breast cancer were selected and a 3-protein signature was developed using binary logistic regression analysis [area under the curve (AUC)=0.851, sensitivity=80.6%]. The 3-protein signature showed similar performance in an independent validation cohort with an AUC of 0.797 and sensitivity of 77.2% for detection of stage I and II breast cancer. Conclusion: We developed a distinct plasma protein signature for breast cancer diagnosis based on an MRM-based approach, and the clinical value of the 3-protein signature was validated in an independent cohort. English INT INST ANTICANCER RESEARCH SERUM BIOMARKERS PROTEOMIC ANALYSIS IDENTIFICATION DISCOVERY FRAGMENT PATTERN TISSUE MODEL Development and Validation of a Novel Plasma Protein Signature for Breast Cancer Diagnosis by Using Multiple Reaction Monitoring-based Mass Spectrometry Article 1 ANTICANCER RESEARCH, v.35, no.11, pp.6271 - 6279 ANTICANCER RESEARCH 35 11 6271 6279 scie scopus 000363794900070 2-s2.0-84946064410 Oncology Oncology Article SERUM BIOMARKERS PROTEOMIC ANALYSIS IDENTIFICATION DISCOVERY FRAGMENT PATTERN TISSUE MODEL Breast cancer proteomics multiple reaction monitoring diagnosis plasma