Skip to main page content
U.S. flag

An official website of the United States government

Dot gov

The .gov means it’s official.
Federal government websites often end in .gov or .mil. Before sharing sensitive information, make sure you’re on a federal government site.

Https

The site is secure.
The https:// ensures that you are connecting to the official website and that any information you provide is encrypted and transmitted securely.

Access keys NCBI Homepage MyNCBI Homepage Main Content Main Navigation
Review
. 2021 Mar 18:11:616042.
doi: 10.3389/fonc.2021.616042. eCollection 2021.

Personalization in Modern Radiation Oncology: Methods, Results and Pitfalls. Personalized Interventions and Breast Cancer

Affiliations
Review

Personalization in Modern Radiation Oncology: Methods, Results and Pitfalls. Personalized Interventions and Breast Cancer

Cynthia Aristei et al. Front Oncol. .

Abstract

Breast cancer, the most frequent malignancy in women worldwide, is a heterogeneous group of diseases, characterized by distinct molecular aberrations. In precision medicine, radiation oncology for breast cancer aims at tailoring treatment according to tumor biology and each patient's clinical features and genetics. Although systemic therapies are personalized according to molecular sub-type [i.e. endocrine therapy for receptor-positive disease and anti-human epidermal growth factor receptor 2 (HER2) therapy for HER2-positive disease] and multi-gene assays, personalized radiation therapy has yet to be adopted in the clinical setting. Currently, attempts are being made to identify prognostic and/or predictive factors, biomarkers, signatures that could lead to personalized treatment in order to select appropriate patients who might, or might not, benefit from radiation therapy or whose radiation therapy might be escalated or de-escalated in dosages and volumes. This overview focuses on what has been achieved to date in personalized post-operative radiation therapy and individual patient radiosensitivity assessments by means of tumor sub-types and genetics.

Keywords: biomarkers; breast cancer; gene profiles; genetic assay; molecular subtypes; personalized medicine; precision medicine; radiation oncology.

PubMed Disclaimer

Conflict of interest statement

The authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest.

Figures

Figure 1
Figure 1
Flow chart of the present overview’s topics.

Similar articles

Cited by

References

    1. Reis-Filho JS, Pusztai L. Gene expression profiling in breast cancer: classification, prognostication, and prediction. Lancet (2011) 378:1812–23. 10.1016/S0140-6736(11)61539-0 - DOI - PubMed
    1. Markopoulos C, van de Velde C, Zarca D, Ozmen V, Masetti R. Clinical evidence supporting genomic tests in early breast cancer: do all genomic tests provide the same information? . Eur J Surg Oncol (2017) 43:909–20. 10.1016/j.ejso.2016.08.012 - DOI - PubMed
    1. Braunstein LZ, Taghian AG. Molecular phenotype, multigene assays, and the locoregional management of breast cancer. Semin Radiat Oncol (2016) 26:9–16. 10.1016/j.semradonc.2015.08.002 - DOI - PubMed
    1. Kittaneh M, Badve S, Caldera H, Coleman R, Goetz MP, Mahtani R, et al. . Case-based review and clinical guidance on the use of genomic assays for early-stage breast cancer: Breast Cancer Therapy Expert Group (BCTEG). Clin Breast Cancer (2020) 20:183–93. 10.1016/j.clbc.2020.01.001 - DOI - PubMed
    1. Cardoso F, van’t Veer LJ, Bogaerts J, Slaets L, Viale G, Delaloge S, et al. . 70-gene signature as an aid to treatment decisions in early-stage breast cancer. N Engl J Med (2016) 375:717–29. 10.1056/NEJMoa1602253 - DOI - PubMed