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Manuscript Submission Deadline 21 June 2023

The biological processes of carcinogenesis and tumor progression are carried out by complex networks of cells and molecules. Multi-omics technology enables analysis of these biological networks from multiple dimensions such as genome, epigenome, transcriptome, proteome, and metabolome. Molecular imaging approaches can display specific tumor molecules at the tissue, cell, or subcellular level, reflecting their changes in vivo, and conducting qualitative and quantitative research on their biological behavior. Multi-omics information can be visualized and obtained by multiplexed fluorescence, DNA, RNA, isotope labeling, and other molecular imaging approaches, and then multimodal omics analysis may reveal their interactions and regulatory mechanisms. Therefore, the combination of tumor molecular imaging and multimodal omics analysis has the potential to understand tumor pathogenesis systematically and provide new insights into targeting therapy.

In recent years, the application of tumor molecular imaging in multimodal omics analysis is increasingly widespread, where single-cell multimodal omics and spatial omics have been developed. To explore the inner workings of tumor biological systems, single-cell multimodal omics approaches aim to provide comprehensive profiling via multiple modalities in each cell, and multiplexed imaging-based spatial omics approaches aim to detect tens to thousands of cancer subclones or molecular biomarkers within their native spatial context. However, how to achieve high-efficiency, high-accuracy, high-sensitivity, high-resolution, high-throughput, and multi-omics detection remains a challenge. Therefore, there is a need for a large number of explorative studies in the molecular probe, imaging system, and multimodal data analysis to eventually promote clinical translation.

• Reviews of high-quality literature developing molecular imaging systems in multimodal omics analysis

• Research on the advanced specific molecular probe and multiplexed imaging system for multi-omics detection, or tailored computational solutions for multi-omics data process.

• Based on multimodal omics analysis, basic and clinical research on tumor biological networks, randomized controlled trials, and primary clinical data to evaluate the efficacy of novel antitumor targets.

Keywords: Tumor, Molecular imaging, Multi-omics


Important Note: All contributions to this Research Topic must be within the scope of the section and journal to which they are submitted, as defined in their mission statements. Frontiers reserves the right to guide an out-of-scope manuscript to a more suitable section or journal at any stage of peer review.

The biological processes of carcinogenesis and tumor progression are carried out by complex networks of cells and molecules. Multi-omics technology enables analysis of these biological networks from multiple dimensions such as genome, epigenome, transcriptome, proteome, and metabolome. Molecular imaging approaches can display specific tumor molecules at the tissue, cell, or subcellular level, reflecting their changes in vivo, and conducting qualitative and quantitative research on their biological behavior. Multi-omics information can be visualized and obtained by multiplexed fluorescence, DNA, RNA, isotope labeling, and other molecular imaging approaches, and then multimodal omics analysis may reveal their interactions and regulatory mechanisms. Therefore, the combination of tumor molecular imaging and multimodal omics analysis has the potential to understand tumor pathogenesis systematically and provide new insights into targeting therapy.

In recent years, the application of tumor molecular imaging in multimodal omics analysis is increasingly widespread, where single-cell multimodal omics and spatial omics have been developed. To explore the inner workings of tumor biological systems, single-cell multimodal omics approaches aim to provide comprehensive profiling via multiple modalities in each cell, and multiplexed imaging-based spatial omics approaches aim to detect tens to thousands of cancer subclones or molecular biomarkers within their native spatial context. However, how to achieve high-efficiency, high-accuracy, high-sensitivity, high-resolution, high-throughput, and multi-omics detection remains a challenge. Therefore, there is a need for a large number of explorative studies in the molecular probe, imaging system, and multimodal data analysis to eventually promote clinical translation.

• Reviews of high-quality literature developing molecular imaging systems in multimodal omics analysis

• Research on the advanced specific molecular probe and multiplexed imaging system for multi-omics detection, or tailored computational solutions for multi-omics data process.

• Based on multimodal omics analysis, basic and clinical research on tumor biological networks, randomized controlled trials, and primary clinical data to evaluate the efficacy of novel antitumor targets.

Keywords: Tumor, Molecular imaging, Multi-omics


Important Note: All contributions to this Research Topic must be within the scope of the section and journal to which they are submitted, as defined in their mission statements. Frontiers reserves the right to guide an out-of-scope manuscript to a more suitable section or journal at any stage of peer review.

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