Literature DB >> 32464482

Gene expression signatures: A tool for analysis of breast cancer prognosis and therapy.

Neetha Rajan Latha1, Arathi Rajan1, Revathy Nadhan1, Sarada Achyutuni1, Satheesh Kumar Sengodan2, Sreelatha Krishnakumar Hemalatha3, Geetu Rose Varghese1, Ratheeshkumar Thankappan4, Neethu Krishnan1, Dipyaman Patra1, Arathy Warrier1, Priya Srinivas5.   

Abstract

Breast Cancer is the most predominant female cancer in developed as well as developing countries. The treatment strategies of breast cancers depends on an array of factors like age at diagnosis, menstrual status, dietary pattern, immunological response, genetic variations of the cancer cells etc. Recent technological advancements in cancer diagnosis lead to the emergence of gene expression pattern for better understanding of the tumor behavior. It has not only bolstered the prognosis, but also the early diagnosis and therapy. The accuracy in disease prognosis can be boosted when gene expression signatures are combined with traditional clinicopathological features. This review explains how the evolution of gene expression signatures for breast cancers, its advantages and future prospects. In addition, an overview of currently available gene expression signature analysis tools and consolidated information on their current status and specific benefits, that can be availed for breast cancer diagnosis are also discussed.
Copyright © 2020 Elsevier B.V. All rights reserved.

Entities:  

Keywords:  Breast cancer; Cancer therapy; Gene expression profiling

Mesh:

Year:  2020        PMID: 32464482     DOI: 10.1016/j.critrevonc.2020.102964

Source DB:  PubMed          Journal:  Crit Rev Oncol Hematol        ISSN: 1040-8428            Impact factor:   6.312


  8 in total

1.  B7 homolog 3 induces lung metastasis of breast cancer through Raf/MEK/ERK axis.

Authors:  Shuai Wang; Xinyan Zhang; Houfa Ning; Senyi Dong; Guangzhi Wang; Ruimei Sun
Journal:  Breast Cancer Res Treat       Date:  2022-03-21       Impact factor: 4.872

2.  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

3.  Identification and Validation of a Five-Gene Signature Associated With Overall Survival in Breast Cancer Patients.

Authors:  Xiaolong Wang; Chen Li; Tong Chen; Wenhao Li; Hanwen Zhang; Dong Zhang; Ying Liu; Dianwen Han; Yaming Li; Zheng Li; Dan Luo; Ning Zhang; Qifeng Yang
Journal:  Front Oncol       Date:  2021-08-26       Impact factor: 6.244

4.  An Aging-Related Gene Signature-Based Model for Risk Stratification and Prognosis Prediction in Breast Cancer.

Authors:  Jing Yuan; Fangfang Duan; Wenyu Zhai; Chenge Song; Li Wang; Wen Xia; Xin Hua; Zhongyu Yuan; Xiwen Bi; Jiajia Huang
Journal:  Int J Womens Health       Date:  2021-11-03

5.  A Clinical Evaluation of Circulating MiR-106a and Raf-1 as Breast Cancer Diagnostic and Prognostic Markers.

Authors:  Elham Ahmed Mohmmed; Wafaa Ghoneim Shousha; Abeer Salah El-Saiid; Shimaa Shawki Ramadan
Journal:  Asian Pac J Cancer Prev       Date:  2021-11-01

6.  Establishment and Analysis of an Individualized EMT-Related Gene Signature for the Prognosis of Breast Cancer in Female Patients.

Authors:  Wei Xue; Chenyu Sun; Hui Yuan; Xin Yang; Qiuping Zhang; Yunnuo Liao; Hongwei Guo
Journal:  Dis Markers       Date:  2022-07-28       Impact factor: 3.464

7.  Prostate Cancer Secretome and Membrane Proteome from Pten Conditional Knockout Mice Identify Potential Biomarkers for Disease Progression.

Authors:  Nilton J Santos; Ana Carolina Lima Camargo; Hernandes F Carvalho; Luis Antonio Justulin; Sérgio Luis Felisbino
Journal:  Int J Mol Sci       Date:  2022-08-17       Impact factor: 6.208

8.  Prognostic evaluation and immune infiltration analysis of five bioinformatic selected genes in hepatocellular carcinoma.

Authors:  Enjiang Lai; Yang Tai; Jingsun Jiang; Chong Zhao; Yang Xiao; Xin Quan; Hao Wu; Jinhang Gao
Journal:  J Cell Mol Med       Date:  2021-11-02       Impact factor: 5.310

  8 in total

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