Literature DB >> 32259641

New Advances in Molecular Breast Cancer Pathology.

Emad A Rakha1, Fresia G Pareja2.   

Abstract

Breast cancer (BC) comprises a diverse spectrum of diseases featuring distinct presentation, morphological, biological, and clinical phenotypes. BC behaviour and response to therapy also vary widely. Current evidence indicates that traditional prognostic and predictive classification systems are insufficient to reflect the biological and clinical heterogeneity of BC. Advancements in high-throughput molecular techniques and bioinformatics have contributed to the improved understanding of BC biology, refinement of molecular taxonomies and the development of novel prognostic and predictive molecular assays. Molecular testing has also become increasingly important in the diagnosis and treatment of BC in the era of precision medicine. Despite the enormous amount of research work to develop and refine BC molecular prognostic and predictive assays, it is still in evolution and proper incorporation of these molecular tests into clinical practice to guide patient's management remains a challenge. With the increasing use of more sophisticated high throughput molecular techniques, large amounts of data will continue to emerge, which could potentially lead to identification of novel therapeutic targets and allow more precise classification systems that can accurately predict outcome and response to therapy. In this review, we provide an update on the molecular classification of BC and molecular prognostic assays. Companion diagnostics, contribution of massive parallel sequencing and the use of liquid biopsy are also highlighted.
Copyright © 2020 Elsevier Ltd. All rights reserved.

Entities:  

Keywords:  Breast cancer; Gene expression profiling; Molecular prognostic assays; Molecular taxonomy; Mutational signatures; Next generation sequencing

Mesh:

Substances:

Year:  2020        PMID: 32259641     DOI: 10.1016/j.semcancer.2020.03.014

Source DB:  PubMed          Journal:  Semin Cancer Biol        ISSN: 1044-579X            Impact factor:   15.707


  8 in total

1.  Overcoming the Challenges of High Quality RNA Extraction from Core Needle Biopsy.

Authors:  Hanne Locy; Rohann J M Correa; Dorien Autaers; Ann Schiettecatte; Jan Jonckheere; Wim Waelput; Louise Cras; Stefanie Brock; Stefaan Verhulst; Keith Kwan; Marian Vanhoeij; Kris Thielemans; Karine Breckpot
Journal:  Biomolecules       Date:  2021-04-22

2.  Enhance PARPi Application beyond BRCA-Mutant Breast Cancer (BC): Facts Are Facts.

Authors:  Tania Di Raimo; Francesco Angelini
Journal:  J Clin Med       Date:  2020-07-25       Impact factor: 4.241

Review 3.  A Closer Look at Estrogen Receptor Mutations in Breast Cancer and Their Implications for Estrogen and Antiestrogen Responses.

Authors:  Léa Clusan; Pascale Le Goff; Gilles Flouriot; Farzad Pakdel
Journal:  Int J Mol Sci       Date:  2021-01-13       Impact factor: 5.923

4.  Establishment of a tumor immune microenvironment-based molecular classification system of breast cancer for immunotherapy.

Authors:  Xiaobo Zheng; Li Li; Chune Yu; Jiqiao Yang; Yujie Zhao; Chao Su; Jing Yu; Mingqing Xu
Journal:  Aging (Albany NY)       Date:  2021-11-11       Impact factor: 5.682

5.  Integrated Analysis of RNA Binding Protein-Related lncRNA Prognostic Signature for Breast Cancer Patients.

Authors:  Shaohua Xu; Jiahui Xie; Yanjie Zhou; Hui Liu; Yirong Wang; Zhaoyong Li
Journal:  Genes (Basel)       Date:  2022-02-14       Impact factor: 4.096

6.  Identification of cuproptosis-related subtypes, characterization of tumor microenvironment infiltration, and development of a prognosis model in breast cancer.

Authors:  Zhi Li; Hua Zhang; Xixi Wang; Qun Wang; Jiapeng Xue; Yun Shi; Minghua Wang; Geng Wang; Jianquan Zhang
Journal:  Front Immunol       Date:  2022-08-19       Impact factor: 8.786

7.  Landscape of prognosis and immunotherapy responsiveness under tumor glycosylation-related lncRNA patterns in breast cancer.

Authors:  Wenchang Lv; Yufang Tan; Xiaomei Zhou; Qi Zhang; Jun Zhang; Yiping Wu
Journal:  Front Immunol       Date:  2022-09-15       Impact factor: 8.786

8.  Clinicopathological characteristics and prognosis of breast cancer with special histological types: A surveillance, epidemiology, and end results database analysis.

Authors:  Yiqun Han; Jiayu Wang; Binghe Xu
Journal:  Breast       Date:  2020-09-19       Impact factor: 4.380

  8 in total

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