On the Relevance of Soft Tissue Sarcomas Metabolic Landscape Mapping
Soft tissue sarcomas (STS) prognosis is disappointing, with current treatment strategies being based on a “fit for all” principle and not taking distinct sarcoma subtypes specificities and genetic/metabolic differences into consideration. The paucity of precision therapies in STS reflects the shorta...
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| Format: | Article |
| Language: | English |
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MDPI AG
2022-09-01
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| Series: | International Journal of Molecular Sciences |
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| Online Access: | https://www.mdpi.com/1422-0067/23/19/11430 |
| _version_ | 1797479015999602688 |
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| author | Miguel Esperança-Martins Iola F.Duarte Mara Rodrigues Joaquim Soares do Brito Dolores López-Presa Luís Costa Isabel Fernandes Sérgio Dias |
| author_facet | Miguel Esperança-Martins Iola F.Duarte Mara Rodrigues Joaquim Soares do Brito Dolores López-Presa Luís Costa Isabel Fernandes Sérgio Dias |
| author_sort | Miguel Esperança-Martins |
| collection | DOAJ |
| description | Soft tissue sarcomas (STS) prognosis is disappointing, with current treatment strategies being based on a “fit for all” principle and not taking distinct sarcoma subtypes specificities and genetic/metabolic differences into consideration. The paucity of precision therapies in STS reflects the shortage of studies that seek to decipher the sarcomagenesis mechanisms. There is an urge to improve STS diagnosis precision, refine STS classification criteria, and increase the capability of identifying STS prognostic biomarkers. Single-omics and multi-omics studies may play a key role on decodifying sarcomagenesis. Metabolomics provides a singular insight, either as a single-omics approach or as part of a multi-omics strategy, into the metabolic adaptations that support sarcomagenesis. Although STS metabolome is scarcely characterized, untargeted and targeted metabolomics approaches employing different data acquisition methods such as mass spectrometry (MS), MS imaging, and nuclear magnetic resonance (NMR) spectroscopy provided important information, warranting further studies. New chromatographic, MS, NMR-based, and flow cytometry-based methods will offer opportunities to therapeutically target metabolic pathways and to monitorize the response to such metabolic targeting therapies. Here we provide a comprehensive review of STS omics applications, comprising a detailed analysis of studies focused on the metabolic landscape of these tumors. |
| first_indexed | 2024-03-09T21:39:52Z |
| format | Article |
| id | doaj.art-142ab13087c04fea8745c77a0e096878 |
| institution | Directory Open Access Journal |
| issn | 1661-6596 1422-0067 |
| language | English |
| last_indexed | 2024-03-09T21:39:52Z |
| publishDate | 2022-09-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | International Journal of Molecular Sciences |
| spelling | doaj.art-142ab13087c04fea8745c77a0e0968782023-11-23T20:33:04ZengMDPI AGInternational Journal of Molecular Sciences1661-65961422-00672022-09-0123191143010.3390/ijms231911430On the Relevance of Soft Tissue Sarcomas Metabolic Landscape MappingMiguel Esperança-Martins0Iola F.Duarte1Mara Rodrigues2Joaquim Soares do Brito3Dolores López-Presa4Luís Costa5Isabel Fernandes6Sérgio Dias7Medical Oncology Department, Centro Hospitalar Universitário Lisboa Norte, 1649-028 Lisboa, PortugalCICECO-Aveiro Institute of Materials, Department of Chemistry, Universidade de Aveiro, 3810-193 Aveiro, PortugalVascular Biology & Cancer Microenvironment Lab, Instituto de Medicina Molecular João Lobo Antunes, Faculdade de Medicina da Universidade de Lisboa, 1649-028 Lisboa, PortugalOrthopedics Department, Centro Hospitalar Universitário Lisboa Norte, 1649-028 Lisboa, PortugalPathology Department, Centro Hospitalar Universitário Lisboa Norte, 1649-028 Lisboa, PortugalMedical Oncology Department, Centro Hospitalar Universitário Lisboa Norte, 1649-028 Lisboa, PortugalMedical Oncology Department, Centro Hospitalar Universitário Lisboa Norte, 1649-028 Lisboa, PortugalVascular Biology & Cancer Microenvironment Lab, Instituto de Medicina Molecular João Lobo Antunes, Faculdade de Medicina da Universidade de Lisboa, 1649-028 Lisboa, PortugalSoft tissue sarcomas (STS) prognosis is disappointing, with current treatment strategies being based on a “fit for all” principle and not taking distinct sarcoma subtypes specificities and genetic/metabolic differences into consideration. The paucity of precision therapies in STS reflects the shortage of studies that seek to decipher the sarcomagenesis mechanisms. There is an urge to improve STS diagnosis precision, refine STS classification criteria, and increase the capability of identifying STS prognostic biomarkers. Single-omics and multi-omics studies may play a key role on decodifying sarcomagenesis. Metabolomics provides a singular insight, either as a single-omics approach or as part of a multi-omics strategy, into the metabolic adaptations that support sarcomagenesis. Although STS metabolome is scarcely characterized, untargeted and targeted metabolomics approaches employing different data acquisition methods such as mass spectrometry (MS), MS imaging, and nuclear magnetic resonance (NMR) spectroscopy provided important information, warranting further studies. New chromatographic, MS, NMR-based, and flow cytometry-based methods will offer opportunities to therapeutically target metabolic pathways and to monitorize the response to such metabolic targeting therapies. Here we provide a comprehensive review of STS omics applications, comprising a detailed analysis of studies focused on the metabolic landscape of these tumors.https://www.mdpi.com/1422-0067/23/19/11430soft tissue sarcomasingle-omicsmulti-omicsmetabolomicsmass spectrometrychromatography |
| spellingShingle | Miguel Esperança-Martins Iola F.Duarte Mara Rodrigues Joaquim Soares do Brito Dolores López-Presa Luís Costa Isabel Fernandes Sérgio Dias On the Relevance of Soft Tissue Sarcomas Metabolic Landscape Mapping International Journal of Molecular Sciences soft tissue sarcoma single-omics multi-omics metabolomics mass spectrometry chromatography |
| title | On the Relevance of Soft Tissue Sarcomas Metabolic Landscape Mapping |
| title_full | On the Relevance of Soft Tissue Sarcomas Metabolic Landscape Mapping |
| title_fullStr | On the Relevance of Soft Tissue Sarcomas Metabolic Landscape Mapping |
| title_full_unstemmed | On the Relevance of Soft Tissue Sarcomas Metabolic Landscape Mapping |
| title_short | On the Relevance of Soft Tissue Sarcomas Metabolic Landscape Mapping |
| title_sort | on the relevance of soft tissue sarcomas metabolic landscape mapping |
| topic | soft tissue sarcoma single-omics multi-omics metabolomics mass spectrometry chromatography |
| url | https://www.mdpi.com/1422-0067/23/19/11430 |
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