Detalhe da pesquisa
1.
Biomarker potential of the LEF1/TCF family members in breast cancer: Bioinformatic investigation on expression and clinical significance.
Genet Mol Biol
; 46(4): e20220346, 2023.
Artigo
em Inglês
| MEDLINE | ID: mdl-38100720
2.
Integrated analysis of label-free quantitative proteomics and bioinformatics reveal insights into signaling pathways in male breast cancer.
Genet Mol Biol
; 44(1): e20190410, 2021.
Artigo
em Inglês
| MEDLINE | ID: mdl-33656060
3.
Stress-induced phosphoprotein 1: how does this co-chaperone influence the metastasis steps?
Clin Exp Metastasis
; 2024 Apr 06.
Artigo
em Inglês
| MEDLINE | ID: mdl-38581620
4.
High-throughput proteomics of breast cancer subtypes: Biological characterization and multiple candidate biomarker panels to patients' stratification.
J Proteomics
; 285: 104955, 2023 08 15.
Artigo
em Inglês
| MEDLINE | ID: mdl-37390896
5.
Comprehensive analysis of the large and small ribosomal proteins in breast cancer: Insights on proteomic and transcriptomic expression patterns, regulation, mutational landscape, and prognostic significance.
Comput Biol Chem
; 100: 107746, 2022 Oct.
Artigo
em Inglês
| MEDLINE | ID: mdl-35961236
6.
High-throughput mass spectrometry and bioinformatics analysis of breast cancer proteomic data.
Data Brief
; 25: 104125, 2019 Aug.
Artigo
em Inglês
| MEDLINE | ID: mdl-31294064
7.
Quantitative label-free mass spectrometry using contralateral and adjacent breast tissues reveal differentially expressed proteins and their predicted impacts on pathways and cellular functions in breast cancer.
J Proteomics
; 199: 1-14, 2019 05 15.
Artigo
em Inglês
| MEDLINE | ID: mdl-30772490
8.
Comparative Proteomics of Tumor and Paired Normal Breast Tissue Highlights Potential Biomarkers in Breast Cancer.
Cancer Genomics Proteomics
; 12(5): 251-61, 2015.
Artigo
em Inglês
| MEDLINE | ID: mdl-26417028