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Journal of Breast Cancer ; : 113-114, 2020.
Article in English | WPRIM | ID: wpr-811190

ABSTRACT

In the article, “A Validation Study of a Multiple Reaction Monitoring-Based Proteomic Assay to Diagnose Breast Cancer” in Volume 22(4), page 579-586 was error in the table. In Table 1, the value of pN0 was incorrectly listed as 29 (56.9) in ‘diagnosed as normal by biomarker’ and corrected to 39 (76.5). The authors apologize for any inconvenience that this may have caused.

3.
Experimental & Molecular Medicine ; : 36-44, 2012.
Article in English | WPRIM | ID: wpr-211720

ABSTRACT

Breast cancer is the most common cancer in women worldwide. It is necessary to identify biomarkers for early detection, to make accurate prognoses, and to monitor for any recurrence of the cancer. In order to identify potential breast cancer biomarkers, we analyzed the plasma samples of women diagnosed with breast cancer and age-matched normal healthy women by mTRAQ-based stable isotope-labeling mass spectrometry. We identified and quantified 204 proteins including thrombospondin-1 (THBS1) and bromodomain and WD repeat-containing protein 3 (BRWD3) which were increased by more than 5-fold in breast cancer plasma. The plasma levels of the two proteins were evaluated by Western blot assay to confirm for their diagnostic value as serum markers. A 1.8-fold increase in BRWD3 was observed while comparing the plasma levels of breast cancer patients (n = 54) with age-matched normal healthy controls (n = 30), and the area under the receiver operating characteristic curve (AUC) was 0.917. THBS1 was detected in pooled breast cancer plasma at the ratio similar to mTRAQ ratio (> 5-fold). The AUC value for THBS1 was 0.875. The increase of THBS1 was more prominent in estrogen receptor negative and progesterone receptor negative patients than receptor-positive patients. Our results are evidence of the diagnostic value of THBS1 in detecting breast cancer. Based on our findings, we suggest a proteomic method for protein identification and quantification lead to effective biomarker discovery.


Subject(s)
Adult , Female , Humans , Middle Aged , Breast Neoplasms/diagnosis , Early Detection of Cancer , Gene Expression Profiling , Pathology, Molecular/methods , Predictive Value of Tests , Prognosis , Proteomics , Thrombospondin 1/blood , Transcription Factors/blood , Biomarkers, Tumor/blood
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