Next Article in Journal
Modelling Neuromuscular Diseases in the Age of Precision Medicine
Previous Article in Journal
Effects of Two Community-Based Exercise Programs on Adherence, Cardiometabolic Markers, and Body Composition in Older People with Cardiovascular Risk Factors: A Prospective Observational Cohort Study
Article

Local Disease-Free Survival Rate (LSR) Application to Personalize Radiation Therapy Treatments in Breast Cancer Models

1
Institute of Molecular Bioimaging and Physiology (IBFM-CNR), 90015 Cefalù (PA), Italy
2
Medical Physics Department, ARNAS-Civico Hospital, 90100 Palermo, Italy
3
Radiation Oncology, ARNAS-Civico Hospital, 90100 Palermo, Italy
4
Oncology Unit, Fondazione Istituto G. Giglio, 90015 Cefalù (PA), Italy
*
Author to whom correspondence should be addressed.
These authors contributed equally to this work.
J. Pers. Med. 2020, 10(4), 177; https://doi.org/10.3390/jpm10040177
Received: 15 September 2020 / Revised: 15 October 2020 / Accepted: 15 October 2020 / Published: 17 October 2020
Cancer heterogeneity represents the main issue for defining an effective treatment in clinical practice, and the scientific community is progressively moving towards the development of more personalized therapeutic regimens. Radiotherapy (RT) remains a fundamental therapeutic treatment used for many neoplastic diseases, including breast cancer (BC), where high variability at the clinical and molecular level is known. The aim of this work is to apply the generalized linear quadratic (LQ) model to customize the radiant treatment plan for BC, by extracting some characteristic parameters of intrinsic radiosensitivity that are not generic, but may be exclusive for each cell type. We tested the validity of the generalized LQ model and analyzed the local disease-free survival rate (LSR) for breast RT treatment by using four BC cell cultures (both primary and immortalized), irradiated with clinical X-ray beams. BC cells were chosen on the basis of their receptor profiles, in order to simulate a differential response to RT between triple negative breast and luminal adenocarcinomas. The MCF10A breast epithelial cell line was utilized as a healthy control. We show that an RT plan setup based only on α and β values could be limiting and misleading. Indeed, two other parameters, the doubling time and the clonogens number, are important to finely predict the tumor response to treatment. Our findings could be tested at a preclinical level to confirm their application as a variant of the classical LQ model, to create a more personalized approach for RT planning. View Full-Text
Keywords: breast cancer; radiotherapy; LSR; LQ model; personalized treatments breast cancer; radiotherapy; LSR; LQ model; personalized treatments
Show Figures

Figure 1

MDPI and ACS Style

Savoca, G.; Calvaruso, M.; Minafra, L.; Bravatà, V.; Cammarata, F.P.; Iacoviello, G.; Abbate, B.; Evangelista, G.; Spada, M.; Forte, G.I.; Russo, G. Local Disease-Free Survival Rate (LSR) Application to Personalize Radiation Therapy Treatments in Breast Cancer Models. J. Pers. Med. 2020, 10, 177. https://doi.org/10.3390/jpm10040177

AMA Style

Savoca G, Calvaruso M, Minafra L, Bravatà V, Cammarata FP, Iacoviello G, Abbate B, Evangelista G, Spada M, Forte GI, Russo G. Local Disease-Free Survival Rate (LSR) Application to Personalize Radiation Therapy Treatments in Breast Cancer Models. Journal of Personalized Medicine. 2020; 10(4):177. https://doi.org/10.3390/jpm10040177

Chicago/Turabian Style

Savoca, Gaetano, Marco Calvaruso, Luigi Minafra, Valentina Bravatà, Francesco P. Cammarata, Giuseppina Iacoviello, Boris Abbate, Giovanna Evangelista, Massimiliano Spada, Giusi I. Forte, and Giorgio Russo. 2020. "Local Disease-Free Survival Rate (LSR) Application to Personalize Radiation Therapy Treatments in Breast Cancer Models" Journal of Personalized Medicine 10, no. 4: 177. https://doi.org/10.3390/jpm10040177

Find Other Styles
Note that from the first issue of 2016, MDPI journals use article numbers instead of page numbers. See further details here.

Article Access Map by Country/Region

1
Back to TopTop