Metabolic activity grows in human cancers pushed by phenotypic variability
Summary: Different evolutionary processes push cancers to increasingly aggressive behaviors, energetically sustained by metabolic reprogramming. The collective signature emerging from this transition is macroscopically displayed by positron emission tomography (PET). In fact, the most readily PET me...
| Main Authors: | , , , , , |
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| Format: | Article |
| Language: | English |
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Elsevier
2023-03-01
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| Series: | iScience |
| Subjects: | |
| Online Access: | http://www.sciencedirect.com/science/article/pii/S2589004223001955 |
| _version_ | 1811164922865778688 |
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| author | Jesús J. Bosque Gabriel F. Calvo David Molina-García Julián Pérez-Beteta Ana M. García Vicente Víctor M. Pérez-García |
| author_facet | Jesús J. Bosque Gabriel F. Calvo David Molina-García Julián Pérez-Beteta Ana M. García Vicente Víctor M. Pérez-García |
| author_sort | Jesús J. Bosque |
| collection | DOAJ |
| description | Summary: Different evolutionary processes push cancers to increasingly aggressive behaviors, energetically sustained by metabolic reprogramming. The collective signature emerging from this transition is macroscopically displayed by positron emission tomography (PET). In fact, the most readily PET measure, the maximum standardized uptake value (SUVmax), has been found to have prognostic value in different cancers. However, few works have linked the properties of this metabolic hotspot to cancer evolutionary dynamics. Here, by analyzing diagnostic PET images from 512 patients with cancer, we found that SUVmax scales superlinearly with the mean metabolic activity (SUVmean), reflecting a dynamic preferential accumulation of activity on the hotspot. Additionally, SUVmax increased with metabolic tumor volume (MTV) following a power law. The behavior from the patients data was accurately captured by a mechanistic evolutionary dynamics model of tumor growth accounting for phenotypic transitions. This suggests that non-genetic changes may suffice to fuel the observed sustained increases in tumor metabolic activity. |
| first_indexed | 2024-04-10T15:30:12Z |
| format | Article |
| id | doaj.art-68eff93303ca40a3865da6694d3cebcd |
| institution | Directory Open Access Journal |
| issn | 2589-0042 |
| language | English |
| last_indexed | 2024-04-10T15:30:12Z |
| publishDate | 2023-03-01 |
| publisher | Elsevier |
| record_format | Article |
| series | iScience |
| spelling | doaj.art-68eff93303ca40a3865da6694d3cebcd2023-02-14T04:07:15ZengElsevieriScience2589-00422023-03-01263106118Metabolic activity grows in human cancers pushed by phenotypic variabilityJesús J. Bosque0Gabriel F. Calvo1David Molina-García2Julián Pérez-Beteta3Ana M. García Vicente4Víctor M. Pérez-García5Department of Mathematics, Mathematical Oncology Laboratory (MOLAB), University of Castilla-La Mancha, Ciudad Real, Spain; Corresponding authorDepartment of Mathematics, Mathematical Oncology Laboratory (MOLAB), University of Castilla-La Mancha, Ciudad Real, SpainDepartment of Mathematics, Mathematical Oncology Laboratory (MOLAB), University of Castilla-La Mancha, Ciudad Real, SpainDepartment of Mathematics, Mathematical Oncology Laboratory (MOLAB), University of Castilla-La Mancha, Ciudad Real, SpainNuclear Medicine Unit, Hospital General Universitario de Ciudad Real, Ciudad Real, SpainDepartment of Mathematics, Mathematical Oncology Laboratory (MOLAB), University of Castilla-La Mancha, Ciudad Real, SpainSummary: Different evolutionary processes push cancers to increasingly aggressive behaviors, energetically sustained by metabolic reprogramming. The collective signature emerging from this transition is macroscopically displayed by positron emission tomography (PET). In fact, the most readily PET measure, the maximum standardized uptake value (SUVmax), has been found to have prognostic value in different cancers. However, few works have linked the properties of this metabolic hotspot to cancer evolutionary dynamics. Here, by analyzing diagnostic PET images from 512 patients with cancer, we found that SUVmax scales superlinearly with the mean metabolic activity (SUVmean), reflecting a dynamic preferential accumulation of activity on the hotspot. Additionally, SUVmax increased with metabolic tumor volume (MTV) following a power law. The behavior from the patients data was accurately captured by a mechanistic evolutionary dynamics model of tumor growth accounting for phenotypic transitions. This suggests that non-genetic changes may suffice to fuel the observed sustained increases in tumor metabolic activity.http://www.sciencedirect.com/science/article/pii/S2589004223001955Human metabolismMathematical biosciencesCancer systems biologyCancer |
| spellingShingle | Jesús J. Bosque Gabriel F. Calvo David Molina-García Julián Pérez-Beteta Ana M. García Vicente Víctor M. Pérez-García Metabolic activity grows in human cancers pushed by phenotypic variability iScience Human metabolism Mathematical biosciences Cancer systems biology Cancer |
| title | Metabolic activity grows in human cancers pushed by phenotypic variability |
| title_full | Metabolic activity grows in human cancers pushed by phenotypic variability |
| title_fullStr | Metabolic activity grows in human cancers pushed by phenotypic variability |
| title_full_unstemmed | Metabolic activity grows in human cancers pushed by phenotypic variability |
| title_short | Metabolic activity grows in human cancers pushed by phenotypic variability |
| title_sort | metabolic activity grows in human cancers pushed by phenotypic variability |
| topic | Human metabolism Mathematical biosciences Cancer systems biology Cancer |
| url | http://www.sciencedirect.com/science/article/pii/S2589004223001955 |
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