2018
DOI: 10.3389/fonc.2018.00430
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Multi-Omics Profiling of the Tumor Microenvironment: Paving the Way to Precision Immuno-Oncology

Abstract: The tumor microenvironment (TME) is a multifaceted ecosystem characterized by profound cellular heterogeneity, dynamicity, and complex intercellular cross-talk. The striking responses obtained with immune checkpoint blockers, i.e., antibodies targeting immune-cell regulators to boost antitumor immunity, have demonstrated the enormous potential of anticancer treatments that target TME components other than tumor cells. However, as checkpoint blockade is currently beneficial only to a limited fraction of patient… Show more

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Cited by 63 publications
(54 citation statements)
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“…The expression fold change of enriched genes and proteins predicts disease prognosis and determines treatment ( 68 , 69 ). The multi-omics profile of the tumor microenvironment (TME) provides insights on intra-tumor heterogeneity paving the path of precision immune-oncology ( 70 ).…”
Section: Ai and Secondary Omics Datamentioning
confidence: 99%
“…The expression fold change of enriched genes and proteins predicts disease prognosis and determines treatment ( 68 , 69 ). The multi-omics profile of the tumor microenvironment (TME) provides insights on intra-tumor heterogeneity paving the path of precision immune-oncology ( 70 ).…”
Section: Ai and Secondary Omics Datamentioning
confidence: 99%
“…Owing to the advance and cost reduction in high‐throughput sequencing technologies and analytical platforms for large‐scale data, multi‐omics data are increasingly available for epidemiology studies . Sequencing‐based analyses including RNA transcriptomic sequencing, metagenomic analyses and single‐cell sequencing will allow us to examine the complex relationship of the microbiota, immune cells, and tumour cells in a more comprehensive fashion.…”
Section: Future Perspectives and Conclusionmentioning
confidence: 99%
“…However, the majority of molecular aberrations identified in cancers have synergic interactions in many aspects of cell signaling beyond the genome. The complexity of cancers cross cell boundaries especially studying the tumor microenvironment as a heterogeneous and dynamic network of interacting cells (1), one of the new hot topics for anticancer treatment development. In this scenario, multi-omic technologies and single-cell data can shed light on these interactions by generating high-throughput datasets portraying the genomes, transcriptomes, proteomes, metabolomes, and epigenomes of tumors.…”
Section: Multi-omic Data Integration In Oncologymentioning
confidence: 99%