Literature DB >> 26965997

High-throughput «Omics» technologies: New tools for the study of triple-negative breast cancer.

Gaëlle Judes1, Khaldoun Rifaï1, Marine Daures1, Lucas Dubois1, Yves-Jean Bignon2, Frédérique Penault-Llorca3, Dominique Bernard-Gallon1.   

Abstract

Triple negative breast cancer (TNBC) represents about 15% to 20% of all breast cancers and is typically associated with poorer outcome than other breast cancer subtypes. The heterogeneity of this breast cancer subtype and present lack of clinically established targeted therapies further complicates treatment of patients. The treatment of TNBC emphasizes enhancing health care and developing personalized medicine. To respond to this need, the researchers have turned their attention to a different approach to scientific enquiry: the era of "big biology" and the integrative study of biological systems, also called "Omics" technologies. The term omics comprises different fields of molecular studies and characterizes a global view on biological molecules such as DNA, RNA, proteins, and metabolites. Combined "omics" approach offers a major tool for the understanding of a challenging cancer model, TNBC. This review discusses the different discoveries made using omics technologies concerning the molecular mechanisms underlying TNBC phenotypic heterogeneity, and their potential transfer to clinical applications.
Copyright © 2016 Elsevier Ireland Ltd. All rights reserved.

Entities:  

Keywords:  Clinical applications; Epigenomics; Genomics; Proteomics; Transcriptomics; Triple-negative breast cancer

Mesh:

Substances:

Year:  2016        PMID: 26965997     DOI: 10.1016/j.canlet.2016.03.001

Source DB:  PubMed          Journal:  Cancer Lett        ISSN: 0304-3835            Impact factor:   8.679


  13 in total

Review 1.  Molecular Classification and Future Therapeutic Challenges of Triple-negative Breast Cancer.

Authors:  Nikolaos Garmpis; Christos Damaskos; Anna Garmpi; Konstantinos Nikolettos; Dimitrios Dimitroulis; Evangelos Diamantis; Paraskevi Farmaki; Alexandros Patsouras; Errika Voutyritsa; Athanasios Syllaios; Constantinos G Zografos; Efstathios A Antoniou; Nikos Nikolettos; Alkiviadis Kostakis; Konstantinos Kontzoglou; Dimitrios Schizas; Afroditi Nonni
Journal:  In Vivo       Date:  2020 Jul-Aug       Impact factor: 2.155

2.  Narciclasine induces autophagy-dependent apoptosis in triple-negative breast cancer cells by regulating the AMPK-ULK1 axis.

Authors:  Chuan Cao; Wei Huang; Nan Zhang; Fengbo Wu; Ting Xu; Xiaoli Pan; Cheng Peng; Bo Han
Journal:  Cell Prolif       Date:  2018-08-28       Impact factor: 6.831

Review 3.  Current advances in biomarkers for targeted therapy in triple-negative breast cancer.

Authors:  Brett Fleisher; Charlotte Clarke; Sihem Ait-Oudhia
Journal:  Breast Cancer (Dove Med Press)       Date:  2016-10-06

Review 4.  A Metabolomic Approach to Predict Breast Cancer Behavior and Chemotherapy Response.

Authors:  Marcella Regina Cardoso; Juliana Carvalho Santos; Marcelo Lima Ribeiro; Maria Cecília Ramiro Talarico; Lais Rosa Viana; Sophie Françoise Mauricette Derchain
Journal:  Int J Mol Sci       Date:  2018-02-21       Impact factor: 5.923

5.  Epigenetic and transcriptional profiling of triple negative breast cancer.

Authors:  Andrea A Perreault; Danielle M Sprunger; Bryan J Venters
Journal:  Sci Data       Date:  2019-03-05       Impact factor: 6.444

6.  Overexpression of CCNE1 confers a poorer prognosis in triple-negative breast cancer identified by bioinformatic analysis.

Authors:  Qianqian Yuan; Lewei Zheng; Yiqin Liao; Gaosong Wu
Journal:  World J Surg Oncol       Date:  2021-03-23       Impact factor: 2.754

7.  Tumor-Specific Peptide, Selected from a Phage Peptide Library, Enhances Antitumor Activity of Lactaptin.

Authors:  Anna A Nemudraya; Anna A Makartsova; Alexandr S Fomin; Anna A Nushtaeva; Olga A Koval; Vladimir A Richter; Elena V Kuligina
Journal:  PLoS One       Date:  2016-08-11       Impact factor: 3.240

Review 8.  Precision Medicine for Breast Cancer: The Paths to Truly Individualized Diagnosis and Treatment.

Authors:  Eleanor E R Harris
Journal:  Int J Breast Cancer       Date:  2018-05-09

Review 9.  Applications of RNA Indexes for Precision Oncology in Breast Cancer.

Authors:  Liming Ma; Zirui Liang; Hui Zhou; Lianghu Qu
Journal:  Genomics Proteomics Bioinformatics       Date:  2018-05-09       Impact factor: 7.691

Review 10.  Challenges and future of precision medicine strategies for breast cancer based on a database on drug reactions.

Authors:  Xiping Zhang; Hongjian Yang; Ruiping Zhang
Journal:  Biosci Rep       Date:  2019-09-06       Impact factor: 3.840

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.