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Integration of multi-omics approaches in exploring intra-tumoral heterogeneity.

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Název: Integration of multi-omics approaches in exploring intra-tumoral heterogeneity.
Autoři: Dong, Mengmeng, Wang, Liping, Hu, Ning, Rao, Yueli, Wang, Zhen, Zhang, Yu
Zdroj: Cancer Cell International; 8/29/2025, Vol. 25 Issue 1, p1-17, 17p
Témata: MULTIOMICS, BIOMARKERS, PROTEOMICS, DRUG resistance, GENOMICS, CANCER invasiveness, TRANSLATIONAL research
Abstrakt: Intra-tumoral heterogeneity (ITH) is common in malignant tumors and arises from dynamic variations across genetic, epigenetic, transcriptomic, proteomic, metabolic, and microenvironmental factors. This complexity drives tumor evolution and treatment resistance, undermining the accuracy of clinical diagnosis, prognosis, and treatment planning. Despite recent advances in multi-omics technologies that enable comprehensive mapping of ITH across molecular layers, major challenges remain in clinical translation. This review outlines the principles and clinical applications of eight major omics modalities in the context of ITH: genomics, single-cell genomics, transcriptomics, epigenomics, proteomics, radiomics, microbiome, and metabolomics. We highlight the unique contributions of each omics platform to tumor profiling and emphasize how their integration enhances biological interpretation, patient stratification, and biomarker discovery. Furthermore, we will focus more extensively on the limitations of applying these approaches to ITH analysis. Instead of providing an exhaustive catalog, this review highlights major controversies, technical hurdles, and conceptual gaps that impede the clinical translation of multi-omics-based ITH analysis, with the aim of addressing ITH-related clinical challenges. [ABSTRACT FROM AUTHOR]
Copyright of Cancer Cell International is the property of BioMed Central and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)
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  Data: Intra-tumoral heterogeneity (ITH) is common in malignant tumors and arises from dynamic variations across genetic, epigenetic, transcriptomic, proteomic, metabolic, and microenvironmental factors. This complexity drives tumor evolution and treatment resistance, undermining the accuracy of clinical diagnosis, prognosis, and treatment planning. Despite recent advances in multi-omics technologies that enable comprehensive mapping of ITH across molecular layers, major challenges remain in clinical translation. This review outlines the principles and clinical applications of eight major omics modalities in the context of ITH: genomics, single-cell genomics, transcriptomics, epigenomics, proteomics, radiomics, microbiome, and metabolomics. We highlight the unique contributions of each omics platform to tumor profiling and emphasize how their integration enhances biological interpretation, patient stratification, and biomarker discovery. Furthermore, we will focus more extensively on the limitations of applying these approaches to ITH analysis. Instead of providing an exhaustive catalog, this review highlights major controversies, technical hurdles, and conceptual gaps that impede the clinical translation of multi-omics-based ITH analysis, with the aim of addressing ITH-related clinical challenges. [ABSTRACT FROM AUTHOR]
– Name: Abstract
  Label:
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  Data: <i>Copyright of Cancer Cell International is the property of BioMed Central and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract.</i> (Copyright applies to all Abstracts.)
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