Da Costa Gustavo Góes, Gomig Talita Helen Bombardelli, Kaviski Rodrigo, Santos Sousa Karla, Kukolj Caroline, De Lima Rubens Silveira, De Andrade Urban Cicero, Cavalli Iglenir J, Ribeiro Enilze M S F
Genetics Department, Federal University of Paraná, Curitiba, Brazil.
Biochemestry Department, Federal University of Paraná, Curitiba, Brazil.
Cancer Genomics Proteomics. 2015 Sep-Oct;12(5):251-61.
BACKGROUND/AIM: 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.
The five paired samples from patients with invasive ductal carcinoma were analyzed by 2-DE and MS.
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.
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.
背景/目的:乳腺癌是全球女性中最常见的癌症类型,预计2015年巴西将新增约57000例病例。阐明蛋白质表达和修饰对于乳腺癌的生物学理解、早期诊断和治疗至关重要。本研究的主要目的是比较肿瘤组织和配对的非肿瘤乳腺癌组织的蛋白质组,描述所有鉴定出的蛋白质,突出差异表达最显著的蛋白质,并将数据与现有文献进行比较。
对5例浸润性导管癌患者的配对样本进行二维电泳(2-DE)和质谱(MS)分析。
我们收集到161个鉴定出的斑点,对应110种不同的蛋白质。至少两个样本中共有43个差异表达的斑点,变化倍数最高的十种蛋白质为CASPE、ENOG、TPM1、CAPG、VIME、TPM3、TRFE、PDIA6、WDR61和PDIA3。代谢酶和具有结合功能的蛋白质分别是肿瘤组织中表达增加和减少的蛋白质中最具代表性的功能类别。
以变化倍数为参数,我们指出了未来通过功能方法研究的靶点,以寻找乳腺癌发生和发展的生物标志物。