» Articles » PMID: 38751471

Breast Cancer Gene Expression Signatures: Development and Clinical Significance-a Narrative Review

Overview
Date 2024 May 16
PMID 38751471
Authors
Affiliations
Soon will be listed here.
Abstract

Background And Objective: Breast cancer gene expression signatures are developing rapidly and are expected to better understand the intrinsic features of the tumor, and also to optimize the treatment strategy in clinical practice. This review is to summarize the controversy and consensus in clinical practice of gene expression signatures, and to provide our perspective on these issues as well as recommendation for future direction.

Methods: We reviewed English publications in PubMed related to breast cancer gene expression signatures from 2002 to 2022.

Key Content And Findings: Five mature commercial gene expression signatures: Oncotype, MammaPrint, Prosigna/PAM50, EndoPredict and Breast Cancer Index (BCI) are available to provide the prognostic and predictive assessment. Although they could help to evaluate the risk of recurrence and to predict the benefits of certain treatments, their applications remain challenging. Treatment decisions should be determined by a combination of related clinical pathological factors in clinical practice.

Conclusions: Gene expression signatures could assist in the determination of the adjuvant therapy of early-stage breast cancer. The prospective randomized clinical trials showed that chemotherapy may be exempted in low-risk patients. More sufficient data are expected for the application in radiotherapy, extended endocrine therapy, and neoadjuvant treatment. The treatment cannot be determined by a single factor but by comprehensive assessments of clinicopathological factors, test purpose, and cost-effectiveness. Patients will benefit from personalized treatments with the publication of further evidence.

References
1.
Speers C, Zhao S, Liu M, Bartelink H, Pierce L, Feng F . Development and Validation of a Novel Radiosensitivity Signature in Human Breast Cancer. Clin Cancer Res. 2015; 21(16):3667-77. DOI: 10.1158/1078-0432.CCR-14-2898. View

2.
Paik S, Shak S, Tang G, Kim C, Baker J, Cronin M . A multigene assay to predict recurrence of tamoxifen-treated, node-negative breast cancer. N Engl J Med. 2004; 351(27):2817-26. DOI: 10.1056/NEJMoa041588. View

3.
Darby S, McGale P, Correa C, Taylor C, Arriagada R, Clarke M . Effect of radiotherapy after breast-conserving surgery on 10-year recurrence and 15-year breast cancer death: meta-analysis of individual patient data for 10,801 women in 17 randomised trials. Lancet. 2011; 378(9804):1707-16. PMC: 3254252. DOI: 10.1016/S0140-6736(11)61629-2. View

4.
Petkov V, Miller D, Howlader N, Gliner N, Howe W, Schussler N . Breast-cancer-specific mortality in patients treated based on the 21-gene assay: a SEER population-based study. NPJ Breast Cancer. 2017; 2:16017. PMC: 5515329. DOI: 10.1038/npjbcancer.2016.17. View

5.
Sestak I, Cuzick J, Dowsett M, Lopez-Knowles E, Filipits M, Dubsky P . Prediction of late distant recurrence after 5 years of endocrine treatment: a combined analysis of patients from the Austrian breast and colorectal cancer study group 8 and arimidex, tamoxifen alone or in combination randomized trials using the.... J Clin Oncol. 2014; 33(8):916-22. DOI: 10.1200/JCO.2014.55.6894. View