Literature DB >> 28034454

Comprehensive genomic sequencing and the molecular profiles of clinically advanced breast cancer.

Jeffrey S Ross1, Laurie M Gay2.   

Abstract

Targeting specific mutations that have arisen within a tumour is a promising means of increasing the efficacy of treatments, and breast cancer is no exception to this new paradigm of personalised medicine. Traditional DNA sequencing methods used to characterise clinical cancer specimens and impact treatment decisions are highly sensitive, but are often limited in their scope to known mutational hot spots. Next-generation sequencing (NGS) technologies can also test for these well-known hot spots, as well as identifying insertions and deletions, copy number changes such as ERBB2 (HER2) gene amplification, and a wide array of fusion or rearrangement events. By rapidly analysing many genes in parallel, NGS technologies can make efficient use of precious biopsy material. Comprehensive genomic profiling (CGP) by NGS can reveal targetable, clinically relevant genomic alterations that can stratify tumours by predicted sensitivity to a variety of therapies, including HER2- or MTOR-targeted therapies, immunotherapies, and other kinase inhibitors. Many clinically relevant genomic alterations would not be identified by IHC or hotspot testing, but can be detected by NGS. In addition to the most common breast carcinoma subtypes, rare subtypes analysed with CGP also harbour clinically relevant genomic alterations that can potentially direct therapy selection, illustrating that CGP is a powerful tool for guiding treatment across all breast cancer subtypes.
Copyright © 2016 Royal College of Pathologists of Australasia. Published by Elsevier B.V. All rights reserved.

Entities:  

Keywords:  ERBB2; HER2; Next-generation sequencing; breast carcinoma; clinically relevant genomic alterations; comprehensive genomic profiling; triple-negative breast cancer; tumour mutational burden

Mesh:

Substances:

Year:  2016        PMID: 28034454     DOI: 10.1016/j.pathol.2016.11.005

Source DB:  PubMed          Journal:  Pathology        ISSN: 0031-3025            Impact factor:   5.306


  5 in total

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Authors:  Ugonma N Chukwueke; Priscilla K Brastianos
Journal:  Curr Treat Options Oncol       Date:  2019-05-06

2.  First Nationwide Molecular Screening Program in Spain for Patients With Advanced Breast Cancer: Results From the AGATA SOLTI-1301 Study.

Authors:  Sonia Pernas; Patricia Villagrasa; Ana Vivancos; Maurizio Scaltriti; Jordi Rodón; Octavio Burgués; Paolo Nuciforo; Jordi Canes; Laia Paré; Marta Dueñas; Maria Vidal; Juan Miguel Cejalvo; Antonia Perelló; Antonio Llommbard-Cussac; Joan Dorca; Alvaro Montaño; Tomás Pascual; Mafalda Oliveira; Gloria Ribas; Inmaculada Rapado; Aleix Prat; Eva Ciruelos
Journal:  Front Oncol       Date:  2021-11-04       Impact factor: 6.244

3.  Prediction of tumor mutation burden in breast cancer based on the expression of ER, PR, HER-2, and Ki-67.

Authors:  Junnan Xu; Xiangyu Guo; Mingxi Jing; Tao Sun
Journal:  Onco Targets Ther       Date:  2018-04-19       Impact factor: 4.147

4.  Drug Repositioning and Subgroup Discovery for Precision Medicine Implementation in Triple Negative Breast Cancer.

Authors:  Zainab Al-Taie; Mark Hannink; Jonathan Mitchem; Christos Papageorgiou; Chi-Ren Shyu
Journal:  Cancers (Basel)       Date:  2021-12-14       Impact factor: 6.639

5.  Tumor Mutation Burden Prediction Model in Egyptian Breast Cancer patients based on Next Generation Sequencing.

Authors:  Auhood Nassar; Ahmed M Lymona; Mai M Lotfy; Amira Salah El-Din Youssef; Marwa Mohanad; Tamer M Manie; Mina M G Youssef; Iman G Farahat; Abdel-Rhaman N Zekri
Journal:  Asian Pac J Cancer Prev       Date:  2021-07-01
  5 in total

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