A Focus on the Synergy of Radiomics and RNA Sequencing in Breast Cancer
-
Published:2023-04-13
Issue:8
Volume:24
Page:7214
-
ISSN:1422-0067
-
Container-title:International Journal of Molecular Sciences
-
language:en
-
Short-container-title:IJMS
Author:
Bellini Davide12, Milan Marika3, Bordin Antonella2ORCID, Rizzi Roberto2, Rengo Marco12ORCID, Vicini Simone12, Onori Alessandro12, Carbone Iacopo12, De Falco Elena24ORCID
Affiliation:
1. Department of Radiological Sciences, Oncology and Pathology, I.C.O.T. Hospital, Sapienza University of Rome, Via Franco Faggiana 1668, 04100 Latina, Italy 2. Department of Medical Surgical Sciences and Biotechnologies, Sapienza University of Rome, C.so della Repubblica 79, 04100 Latina, Italy 3. UOC Neurology, Fondazione Ca’Granda, Ospedale Maggiore Policlinico, Via F. Sforza, 28, 20122 Milan, Italy 4. Mediterranea Cardiocentro, 80122 Napoli, Italy
Abstract
Radiological imaging is currently employed as the most effective technique for screening, diagnosis, and follow up of patients with breast cancer (BC), the most common type of tumor in women worldwide. However, the introduction of the omics sciences such as metabolomics, proteomics, and molecular genomics, have optimized the therapeutic path for patients and implementing novel information parallel to the mutational asset targetable by specific clinical treatments. Parallel to the “omics” clusters, radiological imaging has been gradually employed to generate a specific omics cluster termed “radiomics”. Radiomics is a novel advanced approach to imaging, extracting quantitative, and ideally, reproducible data from radiological images using sophisticated mathematical analysis, including disease-specific patterns, that could not be detected by the human eye. Along with radiomics, radiogenomics, defined as the integration of “radiology” and “genomics”, is an emerging field exploring the relationship between specific features extracted from radiological images and genetic or molecular traits of a particular disease to construct adequate predictive models. Accordingly, radiological characteristics of the tissue are supposed to mimic a defined genotype and phenotype and to better explore the heterogeneity and the dynamic evolution of the tumor over the time. Despite such improvements, we are still far from achieving approved and standardized protocols in clinical practice. Nevertheless, what can we learn by this emerging multidisciplinary clinical approach? This minireview provides a focused overview on the significance of radiomics integrated by RNA sequencing in BC. We will also discuss advances and future challenges of such radiomics-based approach.
Subject
Inorganic Chemistry,Organic Chemistry,Physical and Theoretical Chemistry,Computer Science Applications,Spectroscopy,Molecular Biology,General Medicine,Catalysis
Reference87 articles.
1. Breast cancer;Loibl;Lancet,2021 2. Smolarz, B., Nowak, A.Z., and Romanowicz, H. (2022). Breast Cancer-Epidemiology, Classification, Pathogenesis and Treatment (Review of Literature). Cancers, 14. 3. De Paolis, V., Maiullari, F., Chirivi, M., Milan, M., Cordiglieri, C., Pagano, F., La Manna, A.R., De Falco, E., Bearzi, C., and Rizzi, R. (2022). Unusual Association of NF-kappaB Components in Tumor-Associated Macrophages (TAMs) Promotes HSPG2-Mediated Immune-Escaping Mechanism in Breast Cancer. Int. J. Mol. Sci., 23. 4. Single-Cell Map of Diverse Immune Phenotypes in the Breast Tumor Microenvironment;Azizi;Cell,2018 5. Single-cell RNA sequencing in breast cancer: Understanding tumor heterogeneity and paving roads to individualized therapy;Ding;Cancer Commun.,2020
|
|