The diagnosis, classification, and treatment of sarcoma in this era of artificial intelligence and immunotherapy
Abstract Soft‐tissue sarcomas (STS) represent a group of rare and heterogeneous tumors associated with several challenges, including incorrect or late diagnosis, the lack of clinical expertise, and limited therapeutic options. Digital pathology and radiomics represent transformative technologies tha...
| Main Authors: | , , |
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| Format: | Article |
| Language: | English |
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Wiley
2022-12-01
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| Series: | Cancer Communications |
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| Online Access: | https://doi.org/10.1002/cac2.12373 |
| _version_ | 1798005068557975552 |
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| author | Amandine Crombé Mathtieu Roulleau‐Dugage Antoine Italiano |
| author_facet | Amandine Crombé Mathtieu Roulleau‐Dugage Antoine Italiano |
| author_sort | Amandine Crombé |
| collection | DOAJ |
| description | Abstract Soft‐tissue sarcomas (STS) represent a group of rare and heterogeneous tumors associated with several challenges, including incorrect or late diagnosis, the lack of clinical expertise, and limited therapeutic options. Digital pathology and radiomics represent transformative technologies that appear promising for improving the accuracy of cancer diagnosis, characterization and monitoring. Herein, we review the potential role of the application of digital pathology and radiomics in managing patients with STS. We have particularly described the main results and the limits of the studies using radiomics to refine diagnosis or predict the outcome of patients with soft‐tissue sarcomas. We also discussed the current limitation of implementing radiomics in routine settings. Standard management approaches for STS have not improved since the early 1970s. Immunotherapy has revolutionized cancer treatment; nonetheless, immuno‐oncology agents have not yet been approved for patients with STS. However, several lines of evidence indicate that immunotherapy may represent an efficient therapeutic strategy for this group of diseases. Thus, we emphasized the remarkable potential of immunotherapy in sarcoma treatment by focusing on recent data regarding the immune landscape of these tumors. We have particularly emphasized the fact that the development of immunotherapy for sarcomas is not an aspect of histology (except for alveolar soft‐part sarcoma) but rather that of the tumor microenvironment. Future studies investigating immunotherapy strategies in sarcomas should incorporate at least the presence of tertiary lymphoid structures as a stratification factor in their design, besides including a strong translational program that will allow for a better understanding of the determinants involved in sensitivity and treatment resistance to immune‐oncology agents. |
| first_indexed | 2024-04-11T12:33:28Z |
| format | Article |
| id | doaj.art-74c968ff52544bb1a983a219e8550c9f |
| institution | Directory Open Access Journal |
| issn | 2523-3548 |
| language | English |
| last_indexed | 2024-04-11T12:33:28Z |
| publishDate | 2022-12-01 |
| publisher | Wiley |
| record_format | Article |
| series | Cancer Communications |
| spelling | doaj.art-74c968ff52544bb1a983a219e8550c9f2022-12-22T04:23:41ZengWileyCancer Communications2523-35482022-12-0142121288131310.1002/cac2.12373The diagnosis, classification, and treatment of sarcoma in this era of artificial intelligence and immunotherapyAmandine Crombé0Mathtieu Roulleau‐Dugage1Antoine Italiano2Department of Imaging Institut Bergonié Bordeaux Nouvelle‐Aquitaine F‐33076 FranceDepartment of Medicine Gustave Roussy Villejuif Ile de France F‐94800 FranceEarly Phase Trials and Sarcoma Unit Institut Bergonié Bordeaux Nouvelle‐Aquitaine F‐33076 FranceAbstract Soft‐tissue sarcomas (STS) represent a group of rare and heterogeneous tumors associated with several challenges, including incorrect or late diagnosis, the lack of clinical expertise, and limited therapeutic options. Digital pathology and radiomics represent transformative technologies that appear promising for improving the accuracy of cancer diagnosis, characterization and monitoring. Herein, we review the potential role of the application of digital pathology and radiomics in managing patients with STS. We have particularly described the main results and the limits of the studies using radiomics to refine diagnosis or predict the outcome of patients with soft‐tissue sarcomas. We also discussed the current limitation of implementing radiomics in routine settings. Standard management approaches for STS have not improved since the early 1970s. Immunotherapy has revolutionized cancer treatment; nonetheless, immuno‐oncology agents have not yet been approved for patients with STS. However, several lines of evidence indicate that immunotherapy may represent an efficient therapeutic strategy for this group of diseases. Thus, we emphasized the remarkable potential of immunotherapy in sarcoma treatment by focusing on recent data regarding the immune landscape of these tumors. We have particularly emphasized the fact that the development of immunotherapy for sarcomas is not an aspect of histology (except for alveolar soft‐part sarcoma) but rather that of the tumor microenvironment. Future studies investigating immunotherapy strategies in sarcomas should incorporate at least the presence of tertiary lymphoid structures as a stratification factor in their design, besides including a strong translational program that will allow for a better understanding of the determinants involved in sensitivity and treatment resistance to immune‐oncology agents.https://doi.org/10.1002/cac2.12373artificial intelligencedigital pathologyimmunotherapyradiomicssarcoma |
| spellingShingle | Amandine Crombé Mathtieu Roulleau‐Dugage Antoine Italiano The diagnosis, classification, and treatment of sarcoma in this era of artificial intelligence and immunotherapy Cancer Communications artificial intelligence digital pathology immunotherapy radiomics sarcoma |
| title | The diagnosis, classification, and treatment of sarcoma in this era of artificial intelligence and immunotherapy |
| title_full | The diagnosis, classification, and treatment of sarcoma in this era of artificial intelligence and immunotherapy |
| title_fullStr | The diagnosis, classification, and treatment of sarcoma in this era of artificial intelligence and immunotherapy |
| title_full_unstemmed | The diagnosis, classification, and treatment of sarcoma in this era of artificial intelligence and immunotherapy |
| title_short | The diagnosis, classification, and treatment of sarcoma in this era of artificial intelligence and immunotherapy |
| title_sort | diagnosis classification and treatment of sarcoma in this era of artificial intelligence and immunotherapy |
| topic | artificial intelligence digital pathology immunotherapy radiomics sarcoma |
| url | https://doi.org/10.1002/cac2.12373 |
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