Literature DB >> 28669865

Molecular signatures in breast cancer.

Samir Lal1, Amy E McCart Reed1, Xavier M de Luca1, Peter T Simpson2.   

Abstract

The use of molecular signatures to add value to standard clinical and pathological parameters has impacted clinical practice in many cancer types, but perhaps most notably in the breast cancer field. This is, in part, due to the considerable complexity of the disease at the clinical, morphological and molecular levels. The adoption of molecular profiling of DNA, RNA and protein continues to reveal important differences in the intrinsic biology between molecular subtypes and has begun to impact the way patients are managed. Several bioinformatic tools have been developed using DNA or RNA-based signatures to stratify the disease into biologically and/or clinically meaningful subgroups. Here, we review the approaches that have been used to develop gene expression signatures into currently available diagnostic assays (e.g., OncotypeDX® and Mammaprint®), plus we describe the latest work on genome sequencing, the methodologies used in the discovery process of mutational signatures, and the potential of these signatures to impact the clinic.
Copyright © 2017 Elsevier Inc. All rights reserved.

Entities:  

Keywords:  Biomarker; Breast cancer; Genomic test; Prognostic; Signature

Mesh:

Substances:

Year:  2017        PMID: 28669865     DOI: 10.1016/j.ymeth.2017.06.032

Source DB:  PubMed          Journal:  Methods        ISSN: 1046-2023            Impact factor:   3.608


  15 in total

1.  Prognosis Prediction Through an Integrated Analysis of Single-Cell and Bulk RNA-Sequencing Data in Triple-Negative Breast Cancer.

Authors:  Xiangru Wang; Hanghang Chen
Journal:  Front Genet       Date:  2022-07-01       Impact factor: 4.772

2.  Tumor-Associated Stromal Cellular Density as a Predictor of Recurrence and Mortality in Breast Cancer: Results from Ethnically Diverse Study Populations.

Authors:  Montserrat Garcia-Closas; Xiaohong Rose Yang; Mustapha Abubakar; Jing Zhang; Thomas U Ahearn; Hela Koka; Changyuan Guo; Scott M Lawrence; Karun Mutreja; Jonine D Figueroa; Jianming Ying; Jolanta Lissowska; Ning Lyu
Journal:  Cancer Epidemiol Biomarkers Prev       Date:  2021-05-05       Impact factor: 4.090

3.  Impact of the hypoxic phenotype on the uptake and efflux of nanoparticles by human breast cancer cells.

Authors:  William J Brownlee; F Philipp Seib
Journal:  Sci Rep       Date:  2018-08-17       Impact factor: 4.379

Review 4.  The Interleukin-17 Family of Cytokines in Breast Cancer.

Authors:  Joseph Antoine Salvator Fabre; Jérôme Giustinniani; Christian Garbar; Yacine Merrouche; Frank Antonicelli; Armand Bensussan
Journal:  Int J Mol Sci       Date:  2018-12-04       Impact factor: 5.923

Review 5.  Genomics applied to the treatment of breast cancer.

Authors:  Anne Janin; Guilhem Bousquet; Diaddin Hamdan; Thi Thuy Nguyen; Christophe Leboeuf; Solveig Meles
Journal:  Oncotarget       Date:  2019-07-30

6.  The Complex Interaction between the Tumor Micro-Environment and Immune Checkpoints in Breast Cancer.

Authors:  Vanessa Barriga; Nyanbol Kuol; Kulmira Nurgali; Vasso Apostolopoulos
Journal:  Cancers (Basel)       Date:  2019-08-19       Impact factor: 6.575

7.  The impact of RNA extraction method on accurate RNA sequencing from formalin-fixed paraffin-embedded tissues.

Authors:  Michal Marczyk; Chunxiao Fu; Rosanna Lau; Lili Du; Alexander J Trevarton; Bruno V Sinn; Rebekah E Gould; Lajos Pusztai; Christos Hatzis; W Fraser Symmans
Journal:  BMC Cancer       Date:  2019-12-05       Impact factor: 4.430

8.  Personalised medicine and the decision to withhold chemotherapy in early breast cancer with intermediate risk of recurrence - a systematic review and meta-analysis.

Authors:  Susanna M Wallerstedt; Astrid Nilsson Ek; Roger Olofsson Bagge; Anikó Kovács; Annika Strandell; Barbro Linderholm
Journal:  Eur J Clin Pharmacol       Date:  2020-06-05       Impact factor: 2.953

Review 9.  Polyphenols as Promising Drugs against Main Breast Cancer Signatures.

Authors:  María Losada-Echeberría; María Herranz-López; Vicente Micol; Enrique Barrajón-Catalán
Journal:  Antioxidants (Basel)       Date:  2017-11-07

10.  Network Simulations Reveal Molecular Signatures of Vulnerability to Age-Dependent Stress and Tau Accumulation.

Authors:  Timothy E Hoffman; William H Hanneman; Julie A Moreno
Journal:  Front Mol Biosci       Date:  2020-10-20
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