TY - JOUR T1 - Development and Validation of a Novel Plasma Protein Signature for Breast Cancer Diagnosis by Using Multiple Reaction Monitoring-based Mass Spectrometry JF - Anticancer Research JO - Anticancer Res SP - 6271 LP - 6279 VL - 35 IS - 11 AU - HAN-BYOEL LEE AU - UN-BEOM KANG AU - HYEONG-GON MOON AU - JIWOO LEE AU - KYUNG-MIN LEE AU - MINJU YI AU - YONG SUN PARK AU - JONG WON LEE AU - JONG-HAN YU AU - SEUNG HO CHOI AU - SANG HEON CHO AU - CHEOLJU LEE AU - WONSHIK HAN AU - DONG-YOUNG NOH Y1 - 2015/11/01 UR - http://ar.iiarjournals.org/content/35/11/6271.abstract N2 - 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. ER -