Proteomics

Dataset Information

55

Spatial tissue proteomics quantifies inter- and intra-tumor heterogeneity in hepatocellular carcinoma


ABSTRACT: 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

INSTRUMENT(S): Orbitrap Fusion Lumos, LTQ Orbitrap Velos, Orbitrap Fusion, Q Exactive HF

ORGANISM(S): Homo sapiens   Mus musculus  

TISSUE(S): Liver

DISEASE(S): Hepatocellular Carcinoma

SUBMITTER: Katarzyna Buczak  

LAB HEAD: Martin Beck

PROVIDER: PXD007052 | Pride | 2018-01-24

REPOSITORIES: Pride

Dataset's files

Source:
Action DRS
150911_KB_MDmix_TMT_1.raw Raw
150911_KB_MDmix_TMT_10.raw Raw
150911_KB_MDmix_TMT_11.raw Raw
150911_KB_MDmix_TMT_12.raw Raw
150911_KB_MDmix_TMT_13.raw Raw
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Publications


The interpatient variability of tumor proteomes has been investigated on a large scale but many tumors display also intratumoral heterogeneity regarding morphological and genetic features. It remains largely unknown to what extent the local proteome of tumors intrinsically differs. Here, we used hepatocellular carcinoma as a model system to quantify both inter- and intratumor heterogeneity across human patient specimens with spatial resolution. We defined proteomic features that distinguish neop  ...[more]

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