Browse
Submit Data
Databases
API
Help

Dataset Information

0 Views

0 Connections

0 Citations

0 Reanalyses

0 Downloads

Omics score: 0

ABSTRACT: Genomic profiling of liver biopsies in colorectal cancer identifies biomarker candidates of therapeutic resistance

PROVIDER: PRJNA635121 | ENA |

REPOSITORIES: ENA

ACCESS DATA

Json Xml

Dataset's files

Source:

			Action	DRS
	SRR11850500_1.fastq.gz	Fastqsanger.gz
	SRR11850500_2.fastq.gz	Fastqsanger.gz
	SRR11850600_1.fastq.gz	Fastqsanger.gz
	SRR11850600_2.fastq.gz	Fastqsanger.gz
	SRR11850700_1.fastq.gz	Fastqsanger.gz

Items per page:

1 - 5 of 810

Similar Datasets

Genes that mediate colorectal cancer liver metastasis

Project description:The study identifies a set of genes through functional selection in an orthotopic colorectal cancer mouse model that play an important role in mediating colorectal cancer liver metastasis. We look at the gene profiling of metastatic colorectal cancer cells (L1 and L2) and non-mestastatic colorectal cancer cells (sw620 and sw480) using Affymetrix U133A oligonucleotide arrays. 4 samples (each with triplicates) were analyzed. Genes with a fold-change ≥2 (P<0.05) were selected.

2011-12-31 | E-GEOD-30687 | biostudies-arrayexpress

Characterization of spatial heterogeneity in metastasized colorectal cancer by MALDI imaging

Project description:About 50% of colorectal cancer patients develop liver metastases. Patients with metastatic colorectal cancer have 5-year survival rates below 20% despite new therapeutic regimens. Tumor heterogeneity has been linked with poor clinical outcome, but was so far mainly studied via bulk genomic analyses. In this study we performed spatial proteomics via MALDI mass spectrometry imaging on six patient matched CRC primary tumor and liver metastases to characterize interpatient, intertumor and intratumor hetereogeneity. We found several peptide features that were enriched in vital tumor areas of primary tumors and liver metastasis and tentatively derived from tumor cell specific proteins such as annexin A4 and prelamin A/C. Liver metastases of colorectal cancer showed higher heterogeneity between patients than primary tumors while within patients both entities show similar intratumor heterogeneity sometimes organized in zonal pattern. Together our findings give new insights into the spatial proteomic heterogeneity of primary CRC and patient matched liver metastases.

2023-02-17 | PXD039409 | Pride

Genes that mediate colorectal cancer liver metastasis

2011-12-31 | GSE30687 | GEO

Genomic Profile of Primary Colorectal Cancers and associated Liver Metastases

2010-07-07 | GSE10179 | GEO

Genomic Profile of Primary Colorectal Cancers and associated Liver Metastases

Project description:Comparison of genomic alterations of primary colorectal cancers with liver metastases of the same patient Keywords: array CGH, colorectal cancer, colon cancer, liver metastasis 21 primary colorectal cancers and 21 matched liver metastases hybridized against sex-matched control pools

2010-07-07 | E-GEOD-10179 | biostudies-arrayexpress

Chemorefractory non-small cell lung cancer gene expression profiles from the Biomarker-Integrated Approaches of Targeted Therapy for Lung Cancer Elimination (BATTLE) trial

Project description:This SuperSeries is composed of the following subset Series: GSE27389: Substitutions in the KRas oncogene determine protein behavior: Implications for signaling and clinical outcome. GSE31428: Final efficacy and biomarker analysis of the sorafenib arm of the BATTLE (Biomarker-Integrated Approaches of Targeted Therapy for Lung Cancer Elimination) trial GSE31852: An EGFR-mutation signature reveals features of the EGFR-dependent phenotype and identifies MACC1 as an EGFR-associated regulator of MET. GSE33072: An epithelial-mesenchymal transition (EMT) gene signature predicts resistance to erlotinib and PI3K pathway inhibitors and identifies Axl as a novel EMT marker in non-small cell lung cancer. Refer to individual Series

2012-01-01 | E-GEOD-31437 | biostudies-arrayexpress

Characterisation of colorectal cancer cell lines through proteomic profiling of their extracellular vesicles

Project description:Colorectal cancer (CRC) is one of the most prevalent cancers, driven by several factors including deregulations in intracellular signalling pathways. Small extracellular vesicles (sEVs) are nanosized protein-packaged particles released from cells, which are present in liquid biopsies. Here, we characterised the proteome landscape of sEVs and their cells of origin in three CRC cell lines HCT116, HT29 and SW620 in order to explore molecular traits that could be exploited as cancer biomarker candidates and how intracellular signalling can be assessed by sEV analysis instead of directly obtaining the cell of origin itself. Our findings revealed that sEV cargo clearly reflects its cell of origin with proteins of the PI3K-AKT pathway highly represented in sEVs. Proteins known to be involved in CRC were detected in both cells and sEVs including KRAS, ARAF, mTOR, PDPK1 and MAPK1, while TGFB1 and TGFBR2, known to be key players in epithelial cancer carcinogenesis, were found to be enriched in sEVs. Furthermore, phosphopeptide-enriched profiling of cell lysates demonstrated a distinct pattern between cell lines and highlighted potential phosphoproteomic targets to be investigated in sEVs. The total proteomic and phosphoproteomics profiles described in the current work can serve as source to identify candidates for cancer biomarkers that can potentially be assessed from liquid biopsies.

2023-03-11 | PXD037651 | Pride

Biomarker candidates for tumours identified from deep-profiled plasma stem predominantly from the low abundant area

Project description:The plasma proteome has the potential to enable a holistic analysis of the health state of an individual. However, plasma biomarker discovery is difficult due to its high dynamic range and variability. Here, we present a novel automated analytical approach for deep plasma profiling and applied it to a 180-sample cohort of human plasma from lung, breast, colorectal, pancreatic, and prostate cancer. Using a controlled quantitative experiment, we demonstrate a 257% increase in protein identification and a 263% increase in significantly differentially abundant proteins over neat plasma. In the cohort, we identified 2732 proteins. Using machine learning, we discovered biomarker candidates such as STAT3 in colorectal cancer and developed models that classify the disease state. For pancreatic cancer, a separation by stage was achieved. Importantly, biomarker candidates came predominantly from the low abundance region, demonstrating the necessity to deeply profile because they would have been missed by shallow profiling.

2021-10-01 | MSV000088180 | MassIVE

Proteogenomic characterization and comprehensive integrative genomic analysis of human colorectal cancer liver metastasis

Project description:Colorectal cancer (CRC) is the third most common cancer worldwide and liver metastasis remains the major cause of death in CRC. Extensive genomic analysis provided valuable insight into the pathogenesis and progression of CRC. However, the major proteogenomic characterization of CRC liver metastasis is still unknown. We investigated proteogenomic characterization and performed comprehensive integrative genomic analysis of human colorectal cancer liver metastasis.

2019-12-27 | GSE93286 | GEO

Unique structural configuration of EV-DNA primes Kupffer cell-mediated anti-tumor immunity to prevent metastatic progression

Project description:Extracellular vesicles (EVs) transport biomolecules that mediate intercellular communication. We previously showed that EVs contain DNA (EV-DNA) representing the entire genome. However, the mechanism of EV-DNA packaging and its role in cancer remains elusive. Here, we demonstrate that the majority of DNA is localized on the vesicle surface and associated with uniquely modified and cleaved histones. We conducted a genome-wide CRISPR knockout screen, which revealed that immune developmental pathways and genes, including APAF1 and NCF1, regulated EV-DNA packaging. We further demonstrated in colorectal cancer models that uptake of EVs and EV-DNA by Kupffer cells (KC) activated DNA damage responses. This activation re-wired KC cytokine production and generated tertiary lymphoid structures in pre-metastatic livers, thereby suppressing metastasis. Conversely, loss of APAF1 decreased EV-DNA packaging and promoted liver metastasis. Quantifying EV-DNA in colorectal cancer biopsies revealed that EV-DNA could possibly serve as a predictive biomarker for metastatic risk.

2024-09-23 | PXD056104 | Pride

OmicsDI is part of the ELIXIR infrastructure

OmicsDI is an Elixir interoperability service. Learn more ›

Tweets

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