title: Comparative Proteomics of Tumor and Paired Normal Breast Tissue Highlights Potential Biomarkers in Breast Cancer.
abstract: OBJECTIVE
  Breast cancer is the most common type of cancer among women worldwide, and about 57,000 new cases are expected for the Brazilian population in 2015. Elucidation of protein expression and modification is essential for the biological understanding, early diagnosis and therapeutics of breast cancer. The main objectives of the study are comparison between the proteome of tumor and paired non-tumor breast cancer tissues, describing all identified proteins, highlighting the ones most differentially expressed and comparing the data with existing literature.
  
  
  METHODS
  The five paired samples from patients with invasive ductal carcinoma were analyzed by 2-DE and MS.
  
  
  RESULTS
  We collected 161 identified spots corresponding to 110 distinct proteins. Forty-three differentially-expressed spots were common to at least two samples, and the ten proteins with the highest-fold changes were CASPE, ENOG, TPM1, CAPG, VIME, TPM3, TRFE, PDIA6, WDR61 and PDIA3. Metabolic enzymes and proteins with binding functions were the most representative functional classes of proteins with increased and decreased expression in tumor tissue respectively.
  
  
  CONCLUSIONS
  Taking the fold change as a parameter, we point to future targets to be studied by functional methods in a search for biomarkers for initiation and progress of breast cancer.
authors.affiliation: Genetics Department, Federal University of Paraná, Curitiba, Brazil.
authors.forename: Gustavo Góes
authors.initials: GG
authors.lastname: Da Costa
authors.affiliation: Genetics Department, Federal University of Paraná, Curitiba, Brazil.
authors.forename: Talita Helen Bombardelli
authors.initials: TH
authors.lastname: Gomig
authors.affiliation: Genetics Department, Federal University of Paraná, Curitiba, Brazil.
authors.forename: Rodrigo
authors.initials: R
authors.lastname: Kaviski
authors.affiliation: Genetics Department, Federal University of Paraná, Curitiba, Brazil.
authors.forename: Karla
authors.initials: K
authors.lastname: Santos Sousa
authors.affiliation: Biochemestry Department, Federal University of Paraná, Curitiba, Brazil.
authors.forename: Caroline
authors.initials: C
authors.lastname: Kukolj
authors.affiliation: Surgical Oncology Service, Hospital Nossa Senhora das Graças, Curitiba, Brazil Gynecology and Obstetrics Department, Hospital de Clínicas, Curitiba, Brazil.
authors.forename: Rubens Silveira
authors.initials: RS
authors.lastname: De Lima
authors.affiliation: Surgical Oncology Service, Hospital Nossa Senhora das Graças, Curitiba, Brazil.
authors.forename: Cicero
authors.initials: C
authors.lastname: De Andrade Urban
authors.affiliation: Genetics Department, Federal University of Paraná, Curitiba, Brazil.
authors.forename: Iglenir J
authors.initials: IJ
authors.lastname: Cavalli
authors.affiliation: Genetics Department, Federal University of Paraná, Curitiba, Brazil eribeiro@ufpr.br.
authors.forename: Enilze M S F
authors.initials: EM
authors.lastname: Ribeiro
mesh_terms: D000328:Adult; D000368:Aged; D014408:Biomarkers, Tumor; D001943:Breast Neoplasms / Q000378:metabolism* / Q000473:pathology; D005260:Female; D006801:Humans; D042361:Mammary Glands, Human / Q000378:metabolism*; D008875:Middle Aged; D060787:Neoplasm Grading; D020543:Proteome; D040901:Proteomics / Q000379:methods; D047368:Tumor Burden
chemical_list: D014408:Biomarkers, Tumor; D020543:Proteome
keywords: Breast cancer; biomarker identification; differential expression; proteome