INTEGRATIVE TRANSCRIPTOME–PROTEOME MAPPING OF TUMOR MICROENVIRONMENT DYNAMICS

Abstract

Tumor microenvironment (TME) has a crucial role in the initiation, development, and therapeutic response of cancers through the complex interactions of tumor cells, immune constituents, and stromal components. Although high-throughput technologies have been developed, there is still a lack of more detailed mechanisms of TME dynamics across different molecular levels. The proposed research will conduct an integrative transcriptome-proteome mapping to comprehensively describe the regulatory environment of TME in cancer states. Transcriptomic and proteomic profiles of multi-omics data were differentially expressed, functionally enriched, and networked. Combination of gene and protein expression data made it possible to find concordant and discordant molecular patterns, which allows greater insight into post-transcriptional regulation in the TME. The findings showed some of the major dysregulated pathways linked to immune signaling, epithelial -mesenchymal transition (EMT), angiogenesis and metabolic reprogramming. Moreover, immune cell infiltration and stromal interactions demonstrated the important cross-talk interactions that increase tumor progression. Network analysis revealed the core hub molecules with the possible diagnostic and prognostic biomarkers. In general, the proposed study gives a systems perspective on TME dynamics, combining both transcriptomic and proteomic evidence, and provides valuable information on accuracy in oncology and the creation of therapeutic interventions.Tumor microenvironment (TME) has a crucial role in the initiation, development, and therapeutic response of cancers through the complex interactions of tumor cells, immune constituents, and stromal components. Although high-throughput technologies have been developed, there is still a lack of more detailed mechanisms of TME dynamics across different molecular levels. The proposed research will conduct an integrative transcriptome-proteome mapping to comprehensively describe the regulatory environment of TME in cancer states. Transcriptomic and proteomic profiles of multi-omics data were differentially expressed, functionally enriched, and networked. Combination of gene and protein expression data made it possible to find concordant and discordant molecular patterns, which allows greater insight into post-transcriptional regulation in the TME. The findings showed some of the major dysregulated pathways linked to immune signaling, epithelial -mesenchymal transition (EMT), angiogenesis and metabolic reprogramming. Moreover, immune cell infiltration and stromal interactions demonstrated the important cross-talk interactions that increase tumor progression. Network analysis revealed the core hub molecules with the possible diagnostic and prognostic biomarkers. In general, the proposed study gives a systems perspective on TME dynamics, combining both transcriptomic and proteomic evidence, and provides valuable information on accuracy in oncology and the creation of therapeutic interventions.