Browse
Submit Data
Databases
API
Help

Dataset Information

0 Views

0 Connections

0 Citations

0 Reanalyses

0 Downloads

Omics score: 0

MiRNA profiles of exosomes secreted by head and neck cancer-associated fibroblasts and the paired normal fibroblasts

ABSTRACT: Exosomal miRNAs secreted by cancer-associated fibroblasts (CAFs) play a critical role in facilitating head and neck cancer (HNC) progression. A few studies in other cancers have confirmed some CAF-specific miRNAs could be delivered to tumor cells via exosome, thus contributing to chemoresistance. To identify the specific miRNAs responsible for the capability of CAF-derived exosomes to promote cisplatin resistance in recipient HNC cells, a miRNA array was conducted to identify miRNAs involved in exosomes derived from CAFs and the paired normal fibroblasts (NFs).

ORGANISM(S): synthetic construct Homo sapiens

PROVIDER: GSE121848 | GEO | 2018/10/27

REPOSITORIES: GEO

ACCESS DATA

Json Xml

Dataset's files

Source:

			Action	DRS
		Other

Items per page:

1 - 1 of 1

Similar Datasets

RNA-Sequencing data of patient derived normal fibroblasts (NFs), cancer associated fibroblasts (CAFs) and tumor spheroid samples

Project description:RNA-Sequencing data of patient derived normal fibroblasts (NFs), cancer associated fibroblasts (CAFs) and tumor spheroid samples performed in the context of the characterization of an IL1R1 positive CAF population in CRC tumour samples.

| EGAS00001007205 | EGA

Prognostic Gene Expression Signature of Carcinoma Associated Fibroblasts in Non-Small Cell Lung Cancer [methylation profiling]

Project description:The tumor microenvironment strongly influences cancer development, progression and metastasis. The role of carcinoma-associated fibroblasts (CAFs) in these processes and their clinical impact has not been studied systematically in non-small cell lung carcinoma (NSCLC). We established primary cultures of CAFs and matched normal fibroblasts (NFs) from 15 resected NSCLC. We demonstrate that CAFs have greater ability than NFs to enhance the tumorigenicity of lung cancer cell lines. Microarray gene expression analysis of the 15 matched CAF and NF cell lines identified 46 differentially expressed genes, encoding for proteins that are significantly enriched for extracellular proteins regulated by the TGF-beta signaling pathway. We have identified a subset of 11 genes that formed a prognostic gene expression signature, which was validated in multiple independent NSCLC microarray datasets. Functional annotation using protein-protein interaction analyses of these and published cancer stroma-associated gene expression changes revealed prominent involvement of the focal adhesion and MAPK signalling pathways. Fourteen (30%) of the 46 genes also were differentially expressed in laser-capture micro-dissected corresponding primary tumor stroma compared to the matched normal lung. Six of these 14 genes could be induced by TGF-beta1 in NF. The results establish the prognostic impact of CAF-associated gene expression changes in NSCLC patients. Methylation profiles of 5 pairs of were included in a molecular characterization of NSCLC fibroblast cell lines (CAFs) vs. normal lung fibroblasts (NFs). Methylation profiles of 5 paired primary NSCLC fibroblast cell lines (CAFs) and normal lung fibroblasts (NFs) were generated. Genes were determined to be hyper- and hypo-methylated based on paired analysis.

2011-04-08 | E-GEOD-27284 | biostudies-arrayexpress

Prognostic Gene Expression Signature of Carcinoma Associated Fibroblasts in Non-Small Cell Lung Cancer [genome variation profiling]

Project description:The tumor microenvironment strongly influences cancer development, progression and metastasis. The role of carcinoma-associated fibroblasts (CAFs) in these processes and their clinical impact has not been studied systematically in non-small cell lung carcinoma (NSCLC). We established primary cultures of CAFs and matched normal fibroblasts (NFs) from 15 resected NSCLC. We demonstrate that CAFs have greater ability than NFs to enhance the tumorigenicity of lung cancer cell lines. Microarray gene expression analysis of the 15 matched CAF and NF cell lines identified 46 differentially expressed genes, encoding for proteins that are significantly enriched for extracellular proteins regulated by the TGF-beta signaling pathway. We have identified a subset of 11 genes that formed a prognostic gene expression signature, which was validated in multiple independent NSCLC microarray datasets. Functional annotation using protein-protein interaction analyses of these and published cancer stroma-associated gene expression changes revealed prominent involvement of the focal adhesion and MAPK signalling pathways. Fourteen (30%) of the 46 genes also were differentially expressed in laser-capture micro-dissected corresponding primary tumor stroma compared to the matched normal lung. Six of these 14 genes could be induced by TGF-beta1 in NF. The results establish the prognostic impact of CAF-associated gene expression changes in NSCLC patients. Genotyping profiles of 4 pairs of were included in a molecular characterization of NSCLC fibroblast cell lines (CAFs) vs. normal lung fibroblasts (NFs). Genotyping profiles of 4 paired primary NSCLC fibroblast cell lines (CAFs) and normal lung fibroblasts (NFs) were generated. CNV was assessed using paired analysis.

2011-04-08 | E-GEOD-27289 | biostudies-arrayexpress

Fibroblasts: Normal fibroblasts vs. Carcinoma-associated fibroblasts

Project description:Transcriptional profiling of human carcinoma-associated fibroblasts (CAFs) comparing control normal fibroblasts (NFs). NFs derived from normal tissues and CAFs derived from the patients with oral cancer were identified by immunocytochemistry. Goal was to determine differentially expressed lncRNAs between NFs and CAFs.

2024-01-08 | GSE164473 | GEO

CD26-negative and CD26-positive tissue-resident fibroblasts contribute to functionally distinct CAF subpopulations in breast cancer [6702]

Project description:Cancer-associated fibroblasts (CAFs) are abundantly present in the microenvironment of virtually all tumors and strongly impact tumor progression. Despite increasing insight into their function and heterogeneity, little is known regarding the origin of CAFs. Understanding the origin of CAF heterogeneity is needed to develop successful CAF-based targeted therapies. Through various transplantation studies in mice we determined that CAFs in both invasive lobular breast cancer and triple negative breast cancer originate from mammary tissue-resident normal fibroblasts (NFs). Single-cell transcriptomics, in vivo tracing and in vitro studies revealed the transition of CD26+ and CD26- NF populations into inflammatory CAFs (iCAFs) and myofibroblastic CAFs (myCAFs), respectively. In vitro functional assays showed that CD26+ NFs transition into pro-tumorigenic iCAFs which recruit myeloid cells in a CXCL12-dependent manner and enhance tumor cell invasion via matrix-metalloproteinase (MMP) activity. Together, our data show that CD26+ and CD26- NFs transform into distinct CAF subpopulations in breast cancer.

2022-11-29 | GSE205262 | GEO

CD26-negative and CD26-positive tissue-resident fibroblasts contribute to functionally distinct CAF subpopulations in breast cancer [5920]

2022-11-29 | GSE205222 | GEO

CD26-negative and CD26-positive tissue-resident fibroblasts contribute to functionally distinct CAF subpopulations in breast cancer [4880_4954]

2022-11-29 | GSE205220 | GEO

CD26-negative and CD26-positive tissue-resident fibroblasts contribute to functionally distinct CAF subpopulations in breast cancer [6451]

2022-11-29 | GSE205259 | GEO

CD26-negative and CD26-positive tissue-resident fibroblasts contribute to functionally distinct CAF subpopulations in breast cancer [6521]

2022-11-29 | GSE205223 | GEO

CD26-negative and CD26-positive tissue-resident fibroblasts contribute to functionally distinct CAF subpopulations in breast cancer [6263_6381]

2022-11-29 | GSE214933 | GEO