Integrative Bioinformatics Analysis Reveals miR-494 and Its Target Genes as Predictive Biomarkers of Trastuzumab-Resistant Breast Cancer

Journal of the Egyptian National Cancer Institute
doi 10.1186/s43046-020-00028-2
Full Text
Abstract

Available in full text

Date
Authors
Publisher

Springer Science and Business Media LLC

Related search

Identification of Key Pathways and Genes in Response to Trastuzumab Treatment in Breast Cancer Using Bioinformatics Analysis

Oncotarget
Oncology
2018English

Hypermethylated Genes as Biomarkers of Breast Cancer

BMC Proceedings
BiochemistryMedicineGeneticsMolecular Biology
2009English

Integrative Bioinformatics Analysis Identifies ROBO1 as a Potential Therapeutic Target Modified by miR-218 in Hepatocellular Carcinoma

Oncotarget
Oncology
2017English

Identification of Prognostic Significance of BIRC5 in Breast Cancer Using Integrative Bioinformatics Analysis.

Bioscience Reports
BiochemistryCell BiologyMolecular BiologyBiophysics
2020English

Bioinformatics Analysis Reveals 6 Key Biomarkers Associated With Non-Small-Cell Lung Cancer

Journal of International Medical Research
BiochemistryMedicineCell Biology
2019English

Overexpression of Mir-183 and Mir-494 Promotes Proliferation and Migration in Human Breast Cancer Cell Lines

Oncology Letters
Cancer ResearchOncology
2017English

miR-223 Is a Coordinator of Breast Cancer Progression as Revealed by Bioinformatics Predictions

PLoS ONE
Multidisciplinary
2014English

MiR-4653-3p and Its Target Gene FRS2 Are Prognostic Biomarkers for Hormone Receptor Positive Breast Cancer Patients Receiving Tamoxifen as Adjuvant Endocrine Therapy

Oncotarget
Oncology
2016English

The Evolving Role of Receptors as Predictive Biomarkers for Metastatic Breast Cancer

Expert Review of Anticancer Therapy
OncologyPharmacology
2018English

Amanote Research

Note-taking for researchers

Follow Amanote

© 2024 Amaplex Software S.P.R.L. All rights reserved.

Privacy PolicyRefund Policy