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Pinheiro G, Pereira T, Dias C, Freitas C, Hespanhol V, Costa JL, Cunha A, Oliveira HP. Identifying relationships between imaging phenotypes and lung cancer-related mutation status: EGFR and KRAS. Sci Rep 2020; 10:3625. [PMID: 32107398 PMCID: PMC7046701 DOI: 10.1038/s41598-020-60202-3] [Citation(s) in RCA: 35] [Impact Index Per Article: 8.8] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/21/2019] [Accepted: 01/29/2020] [Indexed: 12/11/2022] Open
Abstract
EGFR and KRAS are the most frequently mutated genes in lung cancer, being active research topics in targeted therapy. The biopsy is the traditional method to genetically characterise a tumour. However, it is a risky procedure, painful for the patient, and, occasionally, the tumour might be inaccessible. This work aims to study and debate the nature of the relationships between imaging phenotypes and lung cancer-related mutation status. Until now, the literature has failed to point to new research directions, mainly consisting of results-oriented works in a field where there is still not enough available data to train clinically viable models. We intend to open a discussion about critical points and to present new possibilities for future radiogenomics studies. We conducted high-dimensional data visualisation and developed classifiers, which allowed us to analyse the results for EGFR and KRAS biological markers according to different combinations of input features. We show that EGFR mutation status might be correlated to CT scans imaging phenotypes; however, the same does not seem to hold for KRAS mutation status. Also, the experiments suggest that the best way to approach this problem is by combining nodule-related features with features from other lung structures.
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Affiliation(s)
- Gil Pinheiro
- INESC TEC - Institute for Systems and Computer Engineering, Technology and Science, Porto, Portugal
| | - Tania Pereira
- INESC TEC - Institute for Systems and Computer Engineering, Technology and Science, Porto, Portugal.
| | - Catarina Dias
- INESC TEC - Institute for Systems and Computer Engineering, Technology and Science, Porto, Portugal
- Faculty of Engineering, University of Porto, Porto, Portugal
| | - Cláudia Freitas
- Centro Hospitalar e Universitário de São João, Porto, Portugal
- Faculty of Medicine, University of Porto, Porto, Portugal
| | - Venceslau Hespanhol
- Centro Hospitalar e Universitário de São João, Porto, Portugal
- Faculty of Medicine, University of Porto, Porto, Portugal
| | - José Luis Costa
- Faculty of Medicine, University of Porto, Porto, Portugal
- i3S - Instituto de Investigação e Inovação em Saúde, Universidade do Porto, Porto, Portugal
- IPATIMUP - Institute of Molecular Pathology and Immunology of the University of Porto, Porto, Portugal
| | - António Cunha
- INESC TEC - Institute for Systems and Computer Engineering, Technology and Science, Porto, Portugal
- University of Trás-os-Montes and Alto Douro, Vila Real, Portugal
| | - Hélder P Oliveira
- INESC TEC - Institute for Systems and Computer Engineering, Technology and Science, Porto, Portugal
- Faculty of Science, University of Porto, Porto, Portugal
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