Literature DB >> 29082373

Gene Expression Profiling in Breast Cancer and Its Effect on Therapy Selection in Early-Stage Breast Cancer.

E Nilüfer Güler1.   

Abstract

Breast cancer is a heterogeneous disease. The purpose of adjuvant therapy for early-stage breast cancer is to provide maximum benefit with minimum side effects and not to under-treat or over-treat. The clinical progresses of patients with the same clinical and pathological characteristics who are given similar treatments may show major differences. This fact indicates that the prognostic and predictive factors that we have used until recent years for therapy selection are not really sufficient, we need new markers, every disease and every individual are unique and that treatment should be individualized. The gene expression profiling, which has come into clinical use in recent years, is beneficial in therapy selection for luminal breast cancer cases. A differentiation can be made among patients for whom only endocrine treatment would be adequate and those who should also receive chemotherapy in addition to endocrine treatment. Several new gene expression analysis studies targeted at gaining the ability to determine drug selection in chemotherapy, endocrine treatment and neo-adjuvant therapy are also currently ongoing. The staging system for new breast cancer that is to be published in the year 2018 also includes gene expression analyses within the prognostic panel and the stage changes depending on the result. The statement 'Treat the patient, not the disease.' is becoming increasingly entrenched in our clinical practice. This article briefly summarizes the gene expression profiles, which are validated and used in the selection of therapy for early-stage breast cancer.

Entities:  

Keywords:  Early breast cancer; gene-expression profiling; molecular subtypes; prognosis; staging

Year:  2017        PMID: 29082373      PMCID: PMC5648272          DOI: 10.5152/ejbh.2017.3636

Source DB:  PubMed          Journal:  Eur J Breast Health


  41 in total

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2.  Biological Perspectives of RNA-Sequencing Experimental Design.

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3.  Gene expression profile correlates with molecular and clinical features in patients with myelofibrosis.

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4.  Comparing Clinicopathologic Features and Surgical Treatment of Premenopausal Breast Cancer across Italy and China: Report from a Medical Exchange Program.

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6.  Breast cancer stage prediction: a computational approach guided by transcriptome analysis.

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7.  Improved outcomes and staging in non-small-cell lung cancer guided by a molecular assay.

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8.  Clinicopathologic breast cancer characteristics: predictions using global textural features of the ipsilateral breast mammogram.

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9.  Independent Prognostic Value of Intratumoral Heterogeneity and Immune Response Features by Automated Digital Immunohistochemistry Analysis in Early Hormone Receptor-Positive Breast Carcinoma.

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Journal:  Front Oncol       Date:  2020-06-16       Impact factor: 6.244

10.  Gene Expression Profiling Tests for Early-Stage Invasive Breast Cancer: A Health Technology Assessment.

Authors: 
Journal:  Ont Health Technol Assess Ser       Date:  2020-03-06
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