title: Proteomic  analysis of non-tumoral breast tissue.
abstract: Breast cancer is a complex and  heterogeneous disease. In spite of the advances made in recent decades, a  better understanding of the intrinsic mechanisms of this disease is crucial.  The development of new biomarkers is absolutely necessary to improve diagnosis  and prognosis. Research using the proteomic approach has generated interesting  results; however, the complexity of the mammary gland and of breast tumors  remains a major limitation to the development of new markers. An initial step  is to characterize non-tumoral human breast tissue. We present data from  classical proteomic analysis based on 2-D electrophoresis and peptide mass  fingerprinting identification, which were performed on six non-tumoral samples  from patients with invasive ductal breast carcinomas. Forty-four different  proteins from 70 spots were identified and classified according to their  biological function. Cytoskeleton and associated proteins represent the largest  class (30%) followed by the proteins with binding function (27%). Several of  the proteins have been described in breast tumors, such as vimentin,  endoplasmin, small heat shock beta-6, disulfide isomerase and some cell growth,  and proliferation regulators, suggesting the importance of including data on  the characterization of non-tumoral breast and to studies on differential  expression in cancer tissue.
authors.affiliation: Departamento de Genética, Universidade Federal do Paraná, Curitiba, PR, Brazil.
authors.forename: G G
authors.initials: GG
authors.lastname: Costa
authors.forename: R
authors.initials: R
authors.lastname: Kaviski
authors.forename: L E R
authors.initials: LE
authors.lastname: Souza
authors.forename: C A
authors.initials: CA
authors.lastname: Urban
authors.forename: R S
authors.initials: RS
authors.lastname: Lima
authors.forename: I J
authors.initials: IJ
authors.lastname: Cavalli
authors.forename: E M S F
authors.initials: EM
authors.lastname: Ribeiro
mesh_terms: D000368:Aged; D014408:Biomarkers, Tumor / Q000378:metabolism; D001943:Breast Neoplasms / Q000175:diagnosis / Q000378:metabolism / Q000473:pathology; D044584:Carcinoma, Ductal / Q000175:diagnosis / Q000378:metabolism / Q000473:pathology; D005260:Female; D006801:Humans; D042361:Mammary Glands, Human / Q000378:metabolism* / Q000473:pathology; D008875:Middle Aged; D011379:Prognosis; D020543:Proteome / Q000378:metabolism*; D040901:Proteomics
chemical_list: D014408:Biomarkers, Tumor; D020543:Proteome