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Radiogenomics, Breast Cancer Diagnosis and Characterization: Current Status and Future Directions
Breast cancer (BC) is a heterogeneous disease, affecting millions of women every year. Early diagnosis is crucial to increasing survival. The clinical workup of BC diagnosis involves diagnostic imaging and bioptic characterization. In recent years, technical advances in image processing allowed for...
Autores principales: | , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9611546/ https://www.ncbi.nlm.nih.gov/pubmed/36287050 http://dx.doi.org/10.3390/mps5050078 |
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author | Gallivanone, Francesca Bertoli, Gloria Porro, Danilo |
author_facet | Gallivanone, Francesca Bertoli, Gloria Porro, Danilo |
author_sort | Gallivanone, Francesca |
collection | PubMed |
description | Breast cancer (BC) is a heterogeneous disease, affecting millions of women every year. Early diagnosis is crucial to increasing survival. The clinical workup of BC diagnosis involves diagnostic imaging and bioptic characterization. In recent years, technical advances in image processing allowed for the application of advanced image analysis (radiomics) to clinical data. Furthermore, -omics technologies showed their potential in the characterization of BC. Combining information provided by radiomics with –omics data can be important to personalize diagnostic and therapeutic work up in a clinical context for the benefit of the patient. In this review, we analyzed the recent literature, highlighting innovative approaches to combine imaging and biochemical/biological data, with the aim of identifying recent advances in radiogenomics applied to BC. The results of radiogenomic studies are encouraging approaches in a clinical setting. Despite this, as radiogenomics is an emerging area, the optimal approach has to face technical limitations and needs to be applied to large cohorts including all the expression profiles currently available for BC subtypes (e.g., besides markers from transcriptomics, proteomics and miRNomics, also other non-coding RNA profiles). |
format | Online Article Text |
id | pubmed-9611546 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | MDPI |
record_format | MEDLINE/PubMed |
spelling | pubmed-96115462022-10-28 Radiogenomics, Breast Cancer Diagnosis and Characterization: Current Status and Future Directions Gallivanone, Francesca Bertoli, Gloria Porro, Danilo Methods Protoc Review Breast cancer (BC) is a heterogeneous disease, affecting millions of women every year. Early diagnosis is crucial to increasing survival. The clinical workup of BC diagnosis involves diagnostic imaging and bioptic characterization. In recent years, technical advances in image processing allowed for the application of advanced image analysis (radiomics) to clinical data. Furthermore, -omics technologies showed their potential in the characterization of BC. Combining information provided by radiomics with –omics data can be important to personalize diagnostic and therapeutic work up in a clinical context for the benefit of the patient. In this review, we analyzed the recent literature, highlighting innovative approaches to combine imaging and biochemical/biological data, with the aim of identifying recent advances in radiogenomics applied to BC. The results of radiogenomic studies are encouraging approaches in a clinical setting. Despite this, as radiogenomics is an emerging area, the optimal approach has to face technical limitations and needs to be applied to large cohorts including all the expression profiles currently available for BC subtypes (e.g., besides markers from transcriptomics, proteomics and miRNomics, also other non-coding RNA profiles). MDPI 2022-10-03 /pmc/articles/PMC9611546/ /pubmed/36287050 http://dx.doi.org/10.3390/mps5050078 Text en © 2022 by the authors. https://creativecommons.org/licenses/by/4.0/Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/). |
spellingShingle | Review Gallivanone, Francesca Bertoli, Gloria Porro, Danilo Radiogenomics, Breast Cancer Diagnosis and Characterization: Current Status and Future Directions |
title | Radiogenomics, Breast Cancer Diagnosis and Characterization: Current Status and Future Directions |
title_full | Radiogenomics, Breast Cancer Diagnosis and Characterization: Current Status and Future Directions |
title_fullStr | Radiogenomics, Breast Cancer Diagnosis and Characterization: Current Status and Future Directions |
title_full_unstemmed | Radiogenomics, Breast Cancer Diagnosis and Characterization: Current Status and Future Directions |
title_short | Radiogenomics, Breast Cancer Diagnosis and Characterization: Current Status and Future Directions |
title_sort | radiogenomics, breast cancer diagnosis and characterization: current status and future directions |
topic | Review |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9611546/ https://www.ncbi.nlm.nih.gov/pubmed/36287050 http://dx.doi.org/10.3390/mps5050078 |
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