Application of radiomics-based multiomics combinations in the tumor microenvironment and cancer prognosis
Abstract The advent of immunotherapy, a groundbreaking advancement in cancer treatment, has given rise to the prominence of the tumor microenvironment (TME) as a critical area of research. The clinical implications of an improved understanding of the TME are significant and far-reaching. Radiomics h...
| Main Authors: | , , , , , , , |
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| Format: | Article |
| Language: | English |
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BMC
2023-09-01
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| Series: | Journal of Translational Medicine |
| Subjects: | |
| Online Access: | https://doi.org/10.1186/s12967-023-04437-4 |
| _version_ | 1797451713547862016 |
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| author | Wendi Kang Xiang Qiu Yingen Luo Jianwei Luo Yang Liu Junqing Xi Xiao Li Zhengqiang Yang |
| author_facet | Wendi Kang Xiang Qiu Yingen Luo Jianwei Luo Yang Liu Junqing Xi Xiao Li Zhengqiang Yang |
| author_sort | Wendi Kang |
| collection | DOAJ |
| description | Abstract The advent of immunotherapy, a groundbreaking advancement in cancer treatment, has given rise to the prominence of the tumor microenvironment (TME) as a critical area of research. The clinical implications of an improved understanding of the TME are significant and far-reaching. Radiomics has been increasingly utilized in the comprehensive assessment of the TME and cancer prognosis. Similarly, the advancement of pathomics, which is based on pathological images, can offer additional insights into the panoramic view and microscopic information of tumors. The combination of pathomics and radiomics has revolutionized the concept of a “digital biopsy”. As genomics and transcriptomics continue to evolve, integrating radiomics with genomic and transcriptomic datasets can offer further insights into tumor and microenvironment heterogeneity and establish correlations with biological significance. Therefore, the synergistic analysis of digital image features (radiomics, pathomics) and genetic phenotypes (genomics) can comprehensively decode and characterize the heterogeneity of the TME as well as predict cancer prognosis. This review presents a comprehensive summary of the research on important radiomics biomarkers for predicting the TME, emphasizing the interplay between radiomics, genomics, transcriptomics, and pathomics, as well as the application of multiomics in decoding the TME and predicting cancer prognosis. Finally, we discuss the challenges and opportunities in multiomics research. In conclusion, this review highlights the crucial role of radiomics and multiomics associations in the assessment of the TME and cancer prognosis. The combined analysis of radiomics, pathomics, genomics, and transcriptomics is a promising research direction with substantial research significance and value for comprehensive TME evaluation and cancer prognosis assessment. |
| first_indexed | 2024-03-09T14:58:29Z |
| format | Article |
| id | doaj.art-d1579f9b9fa740c9af4b345ab3f4b0de |
| institution | Directory Open Access Journal |
| issn | 1479-5876 |
| language | English |
| last_indexed | 2024-03-09T14:58:29Z |
| publishDate | 2023-09-01 |
| publisher | BMC |
| record_format | Article |
| series | Journal of Translational Medicine |
| spelling | doaj.art-d1579f9b9fa740c9af4b345ab3f4b0de2023-11-26T14:04:56ZengBMCJournal of Translational Medicine1479-58762023-09-0121112010.1186/s12967-023-04437-4Application of radiomics-based multiomics combinations in the tumor microenvironment and cancer prognosisWendi Kang0Xiang Qiu1Yingen Luo2Jianwei Luo3Yang Liu4Junqing Xi5Xiao Li6Zhengqiang Yang7Department of Interventional Therapy, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical CollegeObstetrics and Gynecology Hospital of, Fudan UniversityDepartment of Interventional Therapy, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical CollegeDepartment of Diagnostic Radiology, Hunan Cancer Hospital and the Affiliated Cancer Hospital of Xiangya School of Medicine, Central South UniversityDepartment of Thoracic Surgery, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical CollegeDepartment of Interventional Therapy, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical CollegeDepartment of Interventional Therapy, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical CollegeDepartment of Interventional Therapy, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical CollegeAbstract The advent of immunotherapy, a groundbreaking advancement in cancer treatment, has given rise to the prominence of the tumor microenvironment (TME) as a critical area of research. The clinical implications of an improved understanding of the TME are significant and far-reaching. Radiomics has been increasingly utilized in the comprehensive assessment of the TME and cancer prognosis. Similarly, the advancement of pathomics, which is based on pathological images, can offer additional insights into the panoramic view and microscopic information of tumors. The combination of pathomics and radiomics has revolutionized the concept of a “digital biopsy”. As genomics and transcriptomics continue to evolve, integrating radiomics with genomic and transcriptomic datasets can offer further insights into tumor and microenvironment heterogeneity and establish correlations with biological significance. Therefore, the synergistic analysis of digital image features (radiomics, pathomics) and genetic phenotypes (genomics) can comprehensively decode and characterize the heterogeneity of the TME as well as predict cancer prognosis. This review presents a comprehensive summary of the research on important radiomics biomarkers for predicting the TME, emphasizing the interplay between radiomics, genomics, transcriptomics, and pathomics, as well as the application of multiomics in decoding the TME and predicting cancer prognosis. Finally, we discuss the challenges and opportunities in multiomics research. In conclusion, this review highlights the crucial role of radiomics and multiomics associations in the assessment of the TME and cancer prognosis. The combined analysis of radiomics, pathomics, genomics, and transcriptomics is a promising research direction with substantial research significance and value for comprehensive TME evaluation and cancer prognosis assessment.https://doi.org/10.1186/s12967-023-04437-4Multiomics combinationRadiomicsBiomarkersTumor microenvironmentCancer prognosis |
| spellingShingle | Wendi Kang Xiang Qiu Yingen Luo Jianwei Luo Yang Liu Junqing Xi Xiao Li Zhengqiang Yang Application of radiomics-based multiomics combinations in the tumor microenvironment and cancer prognosis Journal of Translational Medicine Multiomics combination Radiomics Biomarkers Tumor microenvironment Cancer prognosis |
| title | Application of radiomics-based multiomics combinations in the tumor microenvironment and cancer prognosis |
| title_full | Application of radiomics-based multiomics combinations in the tumor microenvironment and cancer prognosis |
| title_fullStr | Application of radiomics-based multiomics combinations in the tumor microenvironment and cancer prognosis |
| title_full_unstemmed | Application of radiomics-based multiomics combinations in the tumor microenvironment and cancer prognosis |
| title_short | Application of radiomics-based multiomics combinations in the tumor microenvironment and cancer prognosis |
| title_sort | application of radiomics based multiomics combinations in the tumor microenvironment and cancer prognosis |
| topic | Multiomics combination Radiomics Biomarkers Tumor microenvironment Cancer prognosis |
| url | https://doi.org/10.1186/s12967-023-04437-4 |
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