Browse
Submit Data
Databases
API
Help

Dataset Information

0 Views

0 Connections

0 Citations

0 Reanalyses

0 Downloads

Omics score: 0

Increased intra-tumoral glucose level is associated with enhanced chemotherapeutic response in pancreatic cancer

ABSTRACT: Increased intra-tumoral glucose level is associated with enhanced chemotherapeutic response in pancreatic cancer

PROVIDER: PRJNA800377 | ENA |

REPOSITORIES: ENA

ACCESS DATA

Json Xml

Similar Datasets

Increased intra-tumoral glucose level is associated with enhanced chemotherapeutic response in pancreatic cancer

Project description:Pancreatic tumors are refractory to current chemotherapies, and there are no effective alternative therapies available for patients with pancreatic cancer (PC). We present an innovative approach to improve chemotherapy efficacy in preclinical models of pancreatic cancer. The effectiveness of various chemotherapies, including standard of care FOLFIRINOX, was remarkably enhanced by inducing a state of hyperglycemia. This was achieved by either providing animals with a high glucose diet or by a pharmacologic method involving streptozotocin coupled with long-acting insulin. Comprehensive integrative analyses revealed a key metabolic pathway, glutathione biosynthesis, mitigated by the high glucose diet. Combining chemotherapies with either the high glucose diet or an inhibitor of glutathione biosynthesis as a feasible approach caused a significant survival benefit in mice bearing orthotopic pancreatic tumors.

2022-05-16 | GSE194369 | GEO

Intra-individual tumoral heterogeneity of ovarian serous adenocarcinomas

Project description:Intra-individual tumoral heterogeneity of ovarian serous adenocarcinomas

| PRJNA338120 | ENA

Transcription profiling by array of human Glioblastoma multiforme (GBM) tumor samples to asses the intra-tumoral heterogeneity at the gene expression level

Project description: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 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 the intra-tumoral heterogeneity at the gene expression level to uncover important dynamics underlying GBM progression that may have relevant implication for treatment.

2013-02-16 | E-MTAB-1129 | biostudies-arrayexpress

Transcription profiling of biopsies from human squamous cell carcinomas to quantify intra-tumoral heterogeneity

Project description: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 expression. The aim of our study was to quantify intra-tumoral heterogeneity in head and cancer. Methods: Forty-four fresh frozen biopsies were taken from 22 patients, two per tumor. RNA was extracted, tested for quality, amplified, labeled and hybridized to a 35k oligoarray. Results: Unsupervised clustering analyses using all genes, the most variable genes, or random gene sets showed that 80-90% of biopsy pairs clustered together. A within-pair-between-pair scatter ratio analysis showed that the similarity between matching pairs was significantly greater than that between random pairs (p < 0.00001). Conclusions: Two biopsies from the same tumor show far greater similarity in gene expression than biopsies from different tumors, supporting the use of one biopsy for expression profiling.

2008-02-19 | E-NCMF-7 | biostudies-arrayexpress

IFN gamma signaling in cytotoxic T cells restricts antitumor responses by inhibiting the maintenance and clonality of intra-tumoral stem-like T cells

Project description:IFN gamma signaling in cytotoxic T cells restricts antitumor responses by inhibiting the maintenance and clonality of intra-tumoral stem-like T cells

2022-12-16 | GSE221118 | GEO

Topographic mapping of the glioblastoma proteome reveals a triple axis model of intra-tumoral heterogeneity

Project description: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-level proteomic programs have yet to be assigned to specific niches. Here, we leverage mass spectrometry to spatially align abundance levels of 4,794 proteins to GBM’s hallmark histomorphologic niches across 20 patients and define distinct molecular programs operational within these regional tumor compartments. Using machine learning, we overlay concordant transcriptional information, and define two distinct proteogenomic programs, MYC- and KRAS-axis hereon, that cooperate with hypoxia to produce a tri-dimensional model of intra-tumoral heterogeneity. Importantly, we show using multiple cohorts, that GBMs with an enhanced KRAS component harbor a more clinically aggressive and infiltrative phenotype. Conversely, tumor cells enriched along the MYC axis where mutually exclusive and had a distinct proliferative program. Moreover, by applying both experimental and computational approaches to link each of these distinct molecular axes with potential pharmacological therapies, we highlight differential drug sensitivities and a notable relative chemoresistance in GBM cell lines with enhanced KRAS programs. Importantly, pharmacological differences were less evident when using traditional expression-based subgroups supporting thattopographic phenotypic mapping ofGBM, and the proposed axes may provide new insights for targeting heterogeneity and overcoming therapy resistance in this aggressive disease.

2021-11-02 | PXD029290 | Pride

Trunk events present minimal intra- and inter-tumoral heterogeneity in hepatocellular carcinoma

Project description:Trunk events present minimal intra- and inter-tumoral heterogeneity in hepatocellular carcinoma

| PRJNA385729 | ENA

Profiling by array of human Glioblastoma multiforme (GBM) tumor samples to asses the intra-tumoral heterogeneity in genomic copy number aberrations

Project description: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 the intra-tumoral heterogeneity by comparing copy number aberrations in different tumor areas to uncover important dynamics underlying GBM progression.

2013-02-15 | E-MTAB-1215 | biostudies-arrayexpress

Intra-tumoral heterogeneity in metastatic potential and survival signaling between iso-clonal HCT116 and HCT116b human colon carcinoma cell lines

Project description:Characterization of the intra-tumoral heterogeneity between two iso-clonal human colon cancer sublines HCT116 and HCT116b on their ability to undergo metastatic colonization and survive under growth factor deprivation stress (GFDS). Microarray analysis revealed an upregulation of survival and metastatic genes in the highly metastatic HCT116 primary colon tumor cells compared to the poorly metastatic HCT116b primary colon tumor cells.

2013-02-20 | GSE44381 | GEO

Intra-tumoral T cells in pediatric brain tumors display clonal expansion and effector properties

Project description:T cell responses within pediatric brain tumors (PBT) remain poorly understood. We performed single-cell RNA-seq (scRNA-seq) and paired T cell receptor sequencing (TCR-Seq) of patient-derived brain tumor-infiltrating T cells to map T cell molecular profile with TCR repertoire and clonality. We demonstrate marked clonal expansion of intra-tumoral T cells and reveal their differential phenotype, transcriptional state and functional properties within brain tumors. To understand T cell responses within highly immunogenic tumors that respond to checkpoint blockers, we undertook analysis of human non-small cell lung cancer (NSCLC). We performed single-cell RNA-seq (scRNA-seq) and paired T cell receptor sequencing (TCR-Seq) of patient-derived lung tumor-infiltrating T cells to map T cell molecular profile with clonality.

2024-01-16 | GSE221776 | GEO

OmicsDI is part of the ELIXIR infrastructure

OmicsDI is an Elixir interoperability service. Learn more ›

OmicsDI Databases

PRIDE
PeptideAtlas
MassIVE
JPOST Repository
Physiome Model Repository

EGA
EVA
ENA
LINCS
PAXDB
Cell Collective

MetaboLights
Metabolomics Workbench
MetabolomeExpress
GNPS
BioModels
FAIRDOMHub

ArrayExpress
dbGaP
ExpressionAtlas
GEO
NODE

Information

Databases
Help
API
Contact us
Code on GitHub
Terms of use
Submit Data