Homo sapiens
Ontology highlight
ABSTRACT:
PROVIDER: PRJNA369548 | ENA |
REPOSITORIES: ENA
Similar Datasets
Project description:Trunk events present minimal intra- and inter-tumoral heterogeneity in hepatocellular carcinoma [sHCC1]
| PRJNA397758 | ENA
Project description:Trunk events present minimal intra- and inter-tumoral heterogeneity in hepatocellular carcinoma [sHCC2]
| PRJNA397754 | ENA
Project description:Our study provides a comprehensive multiomics overview of each patient’s tumor, revealing tumor cell types, proteomics, and transcriptomic changes related to melanoma brain metastasis (MBM). Here, we have applied the HiRIEF pre-fractionation and tandem mass tags (TMT)-16plex based peptide quantification to generate proteomes of multiple neighboring regions within each MBM tumor tissue. PCA and Hierarchical clustering analysis illustrated higher inter-tumoral heterogeneity than intra-tumoral heterogeneity of MBM at the protein levels, as lesions from the same patients are grouped into a single cluster. The treatment-naive patient (P3) exhibited high intra-tumoral heterogeneity (ITH) compared to treated ones, with ITH levels varying across neighboring regions in patient tumors. Differential expression analysis highlighted enriched protein and gene clusters for all patient comparisons, including innate immune proteins, macrophage activation, T- and B-cell signaling, and key cancer pathways (e.g., epithelial-mesenchymal transition, cell adhesion, notch signaling, oxidative phosphorylation and cell cycle checkpoints). Genes involved in functional processes characteristic of MBM cell types, tumor-immune interactions, and signaling mechanisms were more highly correlated with their protein levels. Overall, our results provide a comprehensive spatial and molecular view of intra-tumoral and inter-tumoral heterogeneity in MBM.
2025-07-21 | PXD055170 | Pride
Project description:Our study provides a comprehensive multiomics overview of each patient’s tumor, revealing tumor cell types, proteomics, and transcriptomic changes related to melanoma brain metastasis (MBM). Here, we have applied the HiRIEF pre-fractionation and tandem mass tags (TMT)-16plex based peptide quantification to generate proteomes of multiple neighboring regions within each MBM tumor tissue. PCA and Hierarchical clustering analysis illustrated higher inter-tumoral heterogeneity than intra-tumoral heterogeneity of MBM at the protein levels, as lesions from the same patients are grouped into a single cluster. The treatment-naive patient (P3) exhibited high intra-tumoral heterogeneity (ITH) compared to treated ones, with ITH levels varying across neighboring regions in patient tumors. Differential expression analysis highlighted enriched protein and gene clusters for all patient comparisons, including innate immune proteins, macrophage activation, T- and B-cell signaling, and key cancer pathways (e.g., epithelial-mesenchymal transition, cell adhesion, notch signaling, oxidative phosphorylation and cell cycle checkpoints). Genes involved in functional processes characteristic of MBM cell types, tumor-immune interactions, and signaling mechanisms were more highly correlated with their protein levels. Overall, our results provide a comprehensive spatial and molecular view of intra-tumoral and inter-tumoral heterogeneity in MBM.
2025-07-21 | PXD055089 | Pride
Project description:Our study provides a comprehensive multiomics overview of each patient’s tumor, revealing tumor cell types, proteomics, and transcriptomic changes related to melanoma brain metastasis (MBM). Here, we have applied the HiRIEF pre-fractionation and tandem mass tags (TMT)-16plex based peptide quantification to generate proteomes of multiple neighboring regions within each MBM tumor tissue. PCA and Hierarchical clustering analysis illustrated higher inter-tumoral heterogeneity than intra-tumoral heterogeneity of MBM at the protein levels, as lesions from the same patients are grouped into a single cluster. The treatment-naive patient (P3) exhibited high intra-tumoral heterogeneity (ITH) compared to treated ones, with ITH levels varying across neighboring regions in patient tumors. Differential expression analysis highlighted enriched protein and gene clusters for all patient comparisons, including innate immune proteins, macrophage activation, T- and B-cell signaling, and key cancer pathways (e.g., epithelial-mesenchymal transition, cell adhesion, notch signaling, oxidative phosphorylation and cell cycle checkpoints). Genes involved in functional processes characteristic of MBM cell types, tumor-immune interactions, and signaling mechanisms were more highly correlated with their protein levels. Overall, our results provide a comprehensive spatial and molecular view of intra-tumoral and inter-tumoral heterogeneity in MBM.
2025-07-21 | PXD055172 | Pride
Project description:Prostate cancer discovery and translational research are hampered by a lack of preclinical models which accurately reproduce the biological heterogeneity observed in patients. Accordingly, we have established a bank of transplantable patient-derived prostate tumor xenograft lines, using subrenal capsule grafting of human tumor tissue into immuno-deficient mice. This panel includes the first lines generated from primary prostate cancer tissue, and also new lines from metastatic tissue. Critically, the lines retained salient features of the original patient tumors, including histopathology, clinical marker expression, chromosomal aberration and gene expression profiles. Furthermore, they span major histopathological and molecular subtypes of prostate cancer, capturing diverse inter- and intra-tumoral heterogeneity. Host castration led to the development of castrate-resistant tumors, including the first model of complete neuroendocrine transdifferentiation. This publicly-available resource provides novel tools to advance mechanistic understanding of disease progression and response to therapy, and delivers clinically-relevant model systems for evaluation of preclinical drug efficacy. 3 primary tumors and 21 xenograft tumors
2013-01-12 | E-GEOD-41188 | biostudies-arrayexpress
Project description:Prostate cancer discovery and translational research are hampered by a lack of preclinical models which accurately reproduce the biological heterogeneity observed in patients. Accordingly, we have established a bank of transplantable patient-derived prostate tumor xenograft lines, using subrenal capsule grafting of human tumor tissue into immuno-deficient mice. This panel includes the first lines generated from primary prostate cancer tissue, and also new lines from metastatic tissue. Critically, the lines retained salient features of the original patient tumors, including histopathology, clinical marker expression, chromosomal aberration and gene expression profiles. Furthermore, they span major histopathological and molecular subtypes of prostate cancer, capturing diverse inter- and intra-tumoral heterogeneity. Host castration led to the development of castrate-resistant tumors, including the first model of complete neuroendocrine transdifferentiation. This publicly-available resource provides novel tools to advance mechanistic understanding of disease progression and response to therapy, and delivers clinically-relevant model systems for evaluation of preclinical drug efficacy. 3 primary tumors and 22 xenograft tumors
2013-01-12 | E-GEOD-41192 | biostudies-arrayexpress
Project description:Trunk events present minimal intra- and inter-tumoral heterogeneity in hepatocellular carcinoma [early CNV]
| PRJNA385737 | ENA
Project description:Trunk events present minimal intra- and inter-tumoral heterogeneity in hepatocellular carcinoma [multinodular CNV]
| PRJNA385733 | ENA
Project description:Trunk events present minimal intra- and inter-tumoral heterogeneity in hepatocellular carcinoma [gene expression]
| PRJNA385732 | ENA