Browse
Submit Data
Databases
API
Help

Dataset Information

0 Views

0 Connections

0 Citations

0 Reanalyses

0 Downloads

Omics score: 0

Carcinoma exhibiting epithelial-mesenchymal transition manifests an M2 macrophage-enriched tumor immune microenvironment

ABSTRACT: Carcinoma exhibiting epithelial-mesenchymal transition manifests an M2 macrophage-enriched tumor immune microenvironment

PROVIDER: PRJNA1109380 | ENA |

REPOSITORIES: ENA

ACCESS DATA

Json Xml

Similar Datasets

Carcinoma exhibiting epithelial-mesenchymal transition manifests an M2 macrophage-enriched tumor immune microenvironment

Project description:We profiled genes relevant to the tumor-immune interface,in six metaplastic breast carcinomas (MpBCs).

2025-05-31 | GSE267035 | GEO

Changes in the tumor microenvironment mark transition from serous borderline tumor to low grade serous carcinoma

Project description:Low grade serous ovarian cancer (LGSC) is a rare subtype of ovarian cancer, characterized by a slow growth rate, resistance to current treatment regimens, multiple recurrences and poor survival. LGSC arise from serous borderline tumor (SBT), however the mechanism of transformation is poorly understood. To better understand the biology of serous ovarian tumors, we performed whole proteome profiling of LGSC, SBT and the more common high grade serous (HGSC) ovarian tumors. Proteins associated with the tumor microenvironment were differentially expressed between LGSC and SBT or HGSC. In particular, fibroblast activation protein (FAP), a protein expressed in cancer associated fibroblasts, is abundantly expressed in LGSC. Furthermore, Tregs and M2 macrophages are more abundant in the stroma of LGSC compared to SBT. Together these data suggest that the tumor microenvironment provides a supportive environment for LGSC tumorigenesis and progression, and that targeting the tumor microenvironment of LGSC may be a viable therapeutic strategy.

2024-08-15 | PXD046360 | Pride

Single-cell transcriptome reveals the reprogramming of immune microenvironment during the transition from MASH to HCC

Project description:Metabolic dysfunction-associated steatohepatitis (MASH)-driven hepatocellular carcinoma (HCC) development is accompanied by the accumulation of immune cells within the hepatic microenvironment, yet its immunological networks remain obscure. Herein, we illustrate the profound reprogramming of the liver immune microenvironment during the transition from MASH to HCC by single-cell RNA sequencing (scRNA-seq).

2025-06-18 | GSE282630 | GEO

YY1-dependent transcriptional regulation manifests at the morula stage

Project description:YY1-dependent transcriptional regulation manifests at the morula stage

| PRJNA1057211 | ENA

STING-Dependent Signaling Manifests IL-10 Controlled Inflammatory Colitis

Project description:STING-Dependent Signaling Manifests IL-10 Controlled Inflammatory Colitis

| PRJNA421445 | ENA

Quantitative Temporal in vivo Proteomics (QTiPs) deciphers the transition of inflammatory CD11b+,Ly6G-,Ly6Chigh myeloid cells into M2-like macrophages

Project description:Phenotypic transition of myeloid cells into distinct lineages in vivo is important in pathogen response. To monitor immune cell phenotype transitions in vivo, we developed a quantitative temporal in vivo proteomics (QTiPs) platform, performing multiplexed (10-plex) tandem-mass-tag (TMT)-based mass spectrometry on sorted cells collected from their in situ microenvironment during infection. We temporally characterized a poorly understood, virus-driven CD11b+,Ly6G-,Ly6Chigh-low myeloid cell population throughout an acute phase of infection in both the site of infection and bone marrow. QTiPs, in combination with phenotypic, functional and metabolic analyses, elucidated a pivotal role for inflammatory CD11b+,Ly6G-,Ly6Chigh-low cells in anti-viral immune response and viral clearance. Most importantly, the highly time-resolved QTiPs dataset showed the transition of CD11b+,Ly6G-,Ly6Chigh-low cells into M2-like macrophages which displayed increased antigen presentation capacities and bioenergetic demands late in infection. Our QTiPs approach precisely captures myeloid cell-macrophage transition in this population, and it is a novel platform for measuring temporospatial proteome transitions in vivo.

2017-08-09 | PXD005064 | Pride

transition-Transcriptome of floral transition

Project description:transition-Transcriptome of floral transition

| PRJNA477336 | ENA

Transition into inflammatory cancer-associated adipocytes in breast cancer microenvironment requires microRNA regulatory mechanism

Project description:Transition into inflammatory cancer-associated adipocytes in breast cancer microenvironment requires microRNA regulatory mechanism

| PRJNA378531 | ENA

Stability of miRNA in FFPE tumour samples exhibiting degraded mRNA

Project description:This SuperSeries is composed of the following subset Series: GSE39013: Stability of miRNA in FFPE tumour samples exhibiting degraded mRNA [Cervix samples series 1] GSE39014: Stability of miRNA in FFPE tumour samples exhibiting degraded mRNA [Cervix samples series 2] GSE39015: Stability of miRNA in FFPE tumour samples exhibiting degraded mRNA [Cervix samples miRNA] GSE39016: Stability of miRNA in FFPE tumour samples exhibiting degraded mRNA [Bladder samples] GSE39066: Stability of miRNA in FFPE tumour samples exhibiting degraded mRNA [cell lines] Refer to individual Series

2012-07-03 | E-GEOD-39067 | biostudies-arrayexpress

Expression of Epithelial-to-Mesenchymal Transition (EMT)-associated genes in extratumoral microenvironment predicts poor clinical outcome in breast cancer patients

Project description:Introduction: A gene expression signature indicative of active wound responses is common to more than 90% of non-neoplastic tissues adjacent to breast cancer, but these tissues also show substantial heterogeneity, suggesting different microenvironmental subtypes. Genomic variation in the extratumoral microenvironment has received limited study. Methods: Gene expression analysis from 72 patient-derived samples adjacent to invasive breast cancer or ductal carcinoma in situ was evaluated. Unsupervised clustering identified two distinct gene expression subgroups that differed substantially in expression of genes associated with epithelial-to-mesenchymal transition (EMT). We evaluated the prognostic and biological relevance of this extratumoral EMT-like signature using clinical and experimental approaches. Results: We found that the extratumoral EMT-like signature was not significantly associated with overall survival among all patients [Hazard Ratio (HR) = 1.4, 95% CI 0.6 - 2.8, p=0.337], but there was a strong association with overall survival among estrogen receptor (ER)-positive patients [HR = 2.5, 95% CI 0.9 – 6.7, p=0.062] or hormone-treated patients [HR=2.6, 95% CI 1.0 – 7.0, p=0.045]. In addition, co-culturing of ER-positive MCF-7 cells with cells undergoing EMT increased migration of MCF7 cells in a TGF-β1 dependent manner. Conclusion: Together, these results suggest that the presence of an EMT-like signature in the cancer-adjacent extratumoral microenvironment may influence the aggressiveness of the ER-positive tumors and that ER-positive patients with these extratumoral signatures may require additional treatments or more aggressive surgeries. Reference vs. test sample. 74 test samples (12 breast tumors, 62 normal tissue adjacent to breast tumor) from 72 patients.

2011-12-31 | E-GEOD-31589 | biostudies-arrayexpress

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