New Approaches to Classification and Diagnostic Prediction of Breast Cancers

132.4K

views

228

authors

18

articles

New Approaches to Classification and Diagnostic Prediction of Breast Cancers

132.4K

views

228

authors

18

articles

Editors

2

Hospital Clinic of Barcelona

Mothaffar Rimawi

Baylor College of Medicine

Impact

About

Despite many years of translational research in breast cancer, very few new biomarkers have been implemented for clinical use beyond estrogen receptor, progesterone receptor, and HER2. The main reason is that many promising biomarkers are clinically validated but lack analytical and clinical utility. One explanation is that proper validation of the predictive ability of the biomarker in independent datasets, and with a pre-planned statistical analysis, is not always performed. Thus, there is a need to identify new biomarkers or new ways to subclassify breast cancer patients that are reproducible and easy to implement in the clinical setting but, more importantly, that improve patient's outcomes.

The goal of this Research Topic is to present the latest advances in this field. We welcome original research articles, reviews, and methods focusing on:

- novel approaches for breast cancer subclassification, in particular using machine learning algorithms and advanced genomic platforms
- identification and/or validation of new biomarkers based on molecular data alone, or in combination with clinical-pathological or imaging data (or any new data type)
- application of new biomarkers from an analytical point-of-view

Topic Editor Aleix Prat is on the Scientific Advisory Board of Oncolytics and has participated in advisory boards from following companies: Roche, Pfizer, Novartis, Lilly, Nanostring Technologies and Daiichi. Topic Editor Mothaffar Rimawi is a consultant for following companies: Genentech, Novartis, Daiichi, and Macrogenics.

Despite many years of translational research in breast cancer, very few new biomarkers have been implemented for clinical use beyond estrogen receptor, progesterone receptor, and HER2. The main reason is that many promising biomarkers are clinically validated but lack analytical and clinical utility. One explanation is that proper validation of the predictive ability of the biomarker in independent datasets, and with a pre-planned statistical analysis, is not always performed. Thus, there is a need to identify new biomarkers or new ways to subclassify breast cancer patients that are reproducible and easy to implement in the clinical setting but, more importantly, that improve patient's outcomes.

The goal of this Research Topic is to present the latest advances in this field. We welcome original research articles, reviews, and methods focusing on:

- novel approaches for breast cancer subclassification, in particular using machine learning algorithms and advanced genomic platforms
- identification and/or validation of new biomarkers based on molecular data alone, or in combination with clinical-pathological or imaging data (or any new data type)
- application of new biomarkers from an analytical point-of-view

Topic Editor Aleix Prat is on the Scientific Advisory Board of Oncolytics and has participated in advisory boards from following companies: Roche, Pfizer, Novartis, Lilly, Nanostring Technologies and Daiichi. Topic Editor Mothaffar Rimawi is a consultant for following companies: Genentech, Novartis, Daiichi, and Macrogenics.

Download ebook

Share

Editors

Hospital Clinic of Barcelona

Mothaffar Rimawi

Baylor College of Medicine

Impact

132,413 Total views

98,213 Article views

30,787 Article downloads

3,413 Topic views

Published In

Journal Thumbnail

Frontiers in Oncology

Cancer Genetics, Cancer Molecular Targets and Therapeutics, Women's Cancer

Journal Thumbnail

Frontiers in Pharmacology

Cancer Molecular Targets and Therapeutics

Journal Thumbnail

Frontiers in Genetics

Cancer Genetics

About Frontiers Research Topics

With their unique mixes of varied contributions from Original Research to Review Articles, Research Topics unify the most influential researchers, the latest key findings and historical advances in a hot research area! Find out more on how to host your own Frontiers Research Topic or contribute to one as an author.

Suggest a topic