title: Primary study of lymph node metastasis-related serum biomarkers in breast cancer.
abstract: The aim of this study was to detect the pretreatment serum protein profiles of breast cancer patients by mass spectrometry (MS) to screen candidate tumor biomarkers, which will supply a simple, accurate, and minimally invasive method to predict the axillary lymph node metastasis of breast cancer. We used magnetic bead-based weak cation-exchange chromatography followed by matrix-assisted laser desorption and ionization time-of-flight MS to detect proteins in the sera of 54 cases of axillary node-negative breast cancer, 47 cases of axillary node-positive breast cancer, and 101 healthy controls. The protein profiles were analyzed to screen tumor biomarkers and lymph node metastasis-associated proteins to establish and verify a diagnostic model. Comparison of the protein profiles between the two cancer groups resulted in a total of 111 discriminate m/z peaks that were associated with breast cancer. Furthermore, 40 discriminate m/z peaks were detected between breast cancer patients with and without axillary node metastases. Four protein m/z peaks at 5,643, 4,651, 2,377, and 2,240 were used to construct a diagnosis model, and cross-validation indicated that breast cancer with and without axillary node metastasis was identified with 87.04% sensitivity (47/54), 87.23% specificity (41/47), and 87.13% accuracy (88/101). These proteins could potentially be used as predictive biomarkers to distinguish between breast cancer patients with or without lymph node metastasis.
authors.affiliation: Department of Breast Surgery, Zhejiang Cancer Hospital, Hangzhou, China.
authors.forename: Liang
authors.initials: L
authors.lastname: Wang
authors.forename: Dan
authors.initials: D
authors.lastname: Su
authors.forename: Huai-Jun
authors.initials: HJ
authors.lastname: Yan
authors.forename: Jian-Hua
authors.initials: JH
authors.lastname: Xu
authors.forename: Zhi-Guo
authors.initials: ZG
authors.lastname: Zheng
authors.forename: Yan-Jun
authors.initials: YJ
authors.lastname: Hu
authors.forename: Xiao-Dan
authors.initials: XD
authors.lastname: Pan
authors.forename: Xiao-Wen
authors.initials: XW
authors.lastname: Ding
authors.forename: Chun
authors.initials: C
authors.lastname: Chen
authors.forename: Bin
authors.initials: B
authors.lastname: Chen
authors.forename: Wei-Min
authors.initials: WM
authors.lastname: Mao
authors.forename: Xu-Li
authors.initials: XL
authors.lastname: Meng
mesh_terms: D000328:Adult; D000368:Aged; D014408:Biomarkers, Tumor / Q000097:blood*; D001943:Breast Neoplasms / Q000097:blood* / Q000556:secondary*; D016022:Case-Control Studies; D002411:Cation Exchange Resins; D016009:Chi-Square Distribution; D002681:China; D002852:Chromatography, Ion Exchange; D005260:Female; D006801:Humans; D008198:Lymph Nodes / Q000378:metabolism* / Q000473:pathology*; D008207:Lymphatic Metastasis; D008875:Middle Aged; D011237:Predictive Value of Tests; D011379:Prognosis; D040901:Proteomics / Q000379:methods; D012680:Sensitivity and Specificity; D019032:Spectrometry, Mass, Matrix-Assisted Laser Desorption-Ionization
chemical_list: D014408:Biomarkers, Tumor; D002411:Cation Exchange Resins