Project description:The inter-patient variability of tumor proteomes has been investigated on a large scale but many tumors display also intra-tumoral heterogeneity (ITH) regarding morphological and genetic features. To what extent the local proteome of tumors intrinsically differs remains largely unknown. Here, we used hepatocellular carcinoma (HCC) as a model system, to quantify both inter- and intra-tumor heterogeneity across human patient specimens with spatial resolution. We first defined proteomic features that robustly distinguish neoplastic from the directly adjacent non-neoplastic tissue by integrating proteomic data from human patient samples and genetically defined mouse models with available gene expression data. We then demonstrated the existence of intra-tumoral variations in protein abundance that re-occur across different patient samples, and affect clinically relevant proteins, even in the absence of obvious morphological differences or genetic alterations. Our work demonstrates the suitability and the benefits of using mass spectrometry based proteomics to analyze diagnostic tumor specimens with spatial resolution
2018-01-24 | PXD007052 | Pride
Project description:Intra-tumoral epigenetic heterogeneity and aberrant molecular clocks in hepatocellular carcinoma
Project description:Generation of preclinical models which recapitulate at best the extreme intra-tumoral heterogeneity (using two cell culture conditions) and inter-tumor heterogeneity between children diagnosed with high-grade gliomas.
Project description:Deciphering intra- and inter-tumoral heterogeneity is essential for understanding gastric cancer (GC) biology and identifying effective therapeutic targets. We used single-cell RNA sequencing (scRNA-seq) to reveal the transcriptional heterogeneity of diverse cells within primary and metastatic GC and their roles in disease progression.
