Early detection of breast cancer is paramount to successful clinical therapy. Yet, early-stage breast cancer lacks specific symptoms or biomarkers. With the emerging of the mass spectrometric (MS) -based signatures as biomarkers, we investigated breast cancer-related serum profile pattern through class prediction and independent validation, and used Fourier transfer MS to identify breast cancer signature. We now show a distinctive serum peptide pattern that discriminates breast cancer from healthy controls with 93.2% sensitivity and 95.4% specificity. m/z 5901.70 and 4465.74 of ion fragment of FPA and alpha1-antichymotrypsin are found in the signatures that predominantly discriminate breast cancer from healthy individuals. These novel findings identify an MS-based serum peptide pattern of breast cancer that may have direct clinical utility in future.
WANG NaWEN XinYuWANG JieLI AiLingLI WeiHuaLI TaoLi YanZHANG XueMinWANG HongXiaYANG SongChengZHOU TaoGONG WeiLiTIAN YaPingHE Kun
