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ProteomicsTopographic mapping of the glioblastoma proteome reveals a triple axis model of intra-tumoral heterogeneity
Glioblastoma (GBM) is an aggressive form of brain cancer with well-established patterns of intra-tumoral heterogeneity implicated in treatment resistance, recurrence and progression. While regional and single cell transcriptomic variations of GBM have been recently resolved, downstream phenotype-lev...
ORGANISM(S): Homo sapiens (Human) 
2021-11-02 | PXD029290 | Pride
Proteomics Gbm Mass spectrometry 
ProteomicsSpatial tissue proteomics quantifies inter- and intra-tumor heterogeneity in hepatocellular carcinoma
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 use...
ORGANISM(S): Homo sapiens (Human) Mus musculus (Mouse) 
2018-01-24 | PXD007052 | Pride
Intra-tumoral heterogeneity Liver Hepatocellular carcinoma 
TranscriptomicsProfiling by array of human Glioblastoma multiforme (GBM) tumor samples to asses the intra-tumoral heterogeneity in genomic copy number aberrations
Glioblastoma multiforme (GBM) is a highly heterogeneous disease that shows an wide range of genetic abnormalities in comparison to other astrocytic tumors. We have extracted between 4 and 8 tumor subsamples from different areas of the malignant tissue that were at least 1cm apart. Our aim to asses t...
ORGANISM(S): Homo sapiens 
2013-02-15 | E-MTAB-1215 | biostudies-arrayexpress
GenomicsIntra-individual tumoral heterogeneity of ovarian serous adenocarcinomas
Intra-individual tumoral heterogeneity of ovarian serous adenocarcinomas
PRJNA338120 | ENA
GenomicsSpatiotemporal evolution of the ccRCC microenvironment links intra-tumoral heterogeneity to immune escape CINOMA
Spatiotemporal evolution of the ccRCC microenvironment links intra-tumoral heterogeneity to immune escape CINOMA
PRJNA888194 | ENA
GenomicsSpatiotemporal evolution of the ccRCC microenvironment links intra-tumoral heterogeneity to immune escape CINOMA
Spatiotemporal evolution of the ccRCC microenvironment links intra-tumoral heterogeneity to immune escape CINOMA
PRJNA888195 | ENA
TranscriptomicsTranscription profiling of biopsies from human squamous cell carcinomas to quantify intra-tumoral heterogeneity
Heterogeneity of gene expression profiles in head and neck cancer Background: Results of gene expression profiling studies from different institutes often lack consistency. This could be due to the use of different microarray platforms and protocols, or to intra-tumoral heterogeneity in mRNA expres...
ORGANISM(S): Homo sapiens 
2008-02-19 | E-NCMF-7 | biostudies-arrayexpress
TranscriptomicsTranscription profiling by array of human Glioblastoma multiforme (GBM) tumor samples to asses the intra-tumoral heterogeneity at the gene expression level
Glioblastoma multiforme (GBM) is a highly heterogeneous disease that shows an enourmous range of genetic abnormalities in comparison to other astrocytic tumors. Intra-patient heterogeneity in GBM has been poorly characterized both at phenotypic and genomic level. During surgical GBM resections, we h...
ORGANISM(S): Homo sapiens 
2013-02-16 | E-MTAB-1129 | biostudies-arrayexpress
GenomicsDeciphering functional intra-tumoral heterogeneity in BRAFV600E-driven mouse thyroid cancer reveals EMT trajectory and metabolic remodeling
Deciphering functional intra-tumoral heterogeneity in BRAFV600E-driven mouse thyroid cancer reveals EMT trajectory and metabolic remodeling
PRJNA1369432 | ENA
TranscriptomicsIntra-individual tumoral heterogeneity of ovarian serous adenocarcinomas [Illumina]
Intra-individual tumoral heterogeneity (ITH) is a hallmark of solid tumors and impedes accurate genomic diagnosis and selection of proper therapy. The purpose of this study was to identify ITH of ovarian serous adenocarcinomas (OSAs) and to determine the utility of ascitic cancer cells as a resource...
ORGANISM(S): Homo sapiens 
2016-08-09 | E-GEOD-85293 | biostudies-arrayexpress
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