TY - JOUR
T1 - Integrative radiogenomics for virtual biopsy and treatment monitoring in ovarian cancer
AU - Martin-Gonzalez, Paula
AU - Crispin-Ortuzar, Mireia
AU - Rundo, Leonardo
AU - Delgado-Ortet, Maria
AU - Reinius, Marika
AU - Beer, Lucian
AU - Woitek, Ramona
AU - Ursprung, Stephan
AU - Addley, Helen
AU - Brenton, James D.
AU - Markowetz, Florian
AU - Sala, Evis
PY - 2020
Y1 - 2020
N2 - BackgroundOvarian cancer survival rates have not changed in the last 20years. The majority of cases are High-grade serous ovarian carcinomas (HGSOCs), which are typically diagnosed at an advanced stage with multiple metastatic lesions. Taking biopsies of all sites of disease is infeasible, which challenges the implementation of stratification tools based on molecular profiling.Main bodyIn this review, we describe how these challenges might be overcome by integrating quantitative features extracted from medical imaging with the analysis of paired genomic profiles, a combined approach called radiogenomics, to generate virtual biopsies. Radiomic studies have been used to model different imaging phenotypes, and some radiomic signatures have been associated with paired molecular profiles to monitor spatiotemporal changes in the heterogeneity of tumours. We describe different strategies to integrate radiogenomic information in a global and local manner, the latter by targeted sampling of tumour habitats, defined as regions with distinct radiomic phenotypes.ConclusionLinking radiomics and biological correlates in a targeted manner could potentially improve the clinical management of ovarian cancer. Radiogenomic signatures could be used to monitor tumours during the course of therapy, offering additional information for clinical decision making. In summary, radiogenomics may pave the way to virtual biopsies and treatment monitoring tools for integrative tumour analysis.
AB - BackgroundOvarian cancer survival rates have not changed in the last 20years. The majority of cases are High-grade serous ovarian carcinomas (HGSOCs), which are typically diagnosed at an advanced stage with multiple metastatic lesions. Taking biopsies of all sites of disease is infeasible, which challenges the implementation of stratification tools based on molecular profiling.Main bodyIn this review, we describe how these challenges might be overcome by integrating quantitative features extracted from medical imaging with the analysis of paired genomic profiles, a combined approach called radiogenomics, to generate virtual biopsies. Radiomic studies have been used to model different imaging phenotypes, and some radiomic signatures have been associated with paired molecular profiles to monitor spatiotemporal changes in the heterogeneity of tumours. We describe different strategies to integrate radiogenomic information in a global and local manner, the latter by targeted sampling of tumour habitats, defined as regions with distinct radiomic phenotypes.ConclusionLinking radiomics and biological correlates in a targeted manner could potentially improve the clinical management of ovarian cancer. Radiogenomic signatures could be used to monitor tumours during the course of therapy, offering additional information for clinical decision making. In summary, radiogenomics may pave the way to virtual biopsies and treatment monitoring tools for integrative tumour analysis.
KW - Ovarian cancer
KW - Radiogenomics
KW - Radiomics
KW - Tumour habitats
KW - Virtual biopsies
KW - Ovarian cancer
KW - Radiogenomics
KW - Radiomics
KW - Tumour habitats
KW - Virtual biopsies
UR - http://hdl.handle.net/10807/272867
U2 - 10.1186/s13244-020-00895-2
DO - 10.1186/s13244-020-00895-2
M3 - Article
SN - 1869-4101
VL - 11
SP - N/A-N/A
JO - Insights into Imaging
JF - Insights into Imaging
ER -