Browse
Submit Data
Databases
API
Help

Dataset Information

0 Views

0 Connections

0 Citations

0 Reanalyses

0 Downloads

Omics score: 0

Immune suppressive landscape in a human esophageal squamous cell carcinoma microenvironment

ABSTRACT: Immune suppressive landscape in a human esophageal squamous cell carcinoma microenvironment

PROVIDER: PRJNA606979 | ENA |

REPOSITORIES: ENA

ACCESS DATA

Json Xml

Similar Datasets

Immune suppressive landscape in a human esophageal squamous cell carcinoma microenvironment

Project description:Properly applying current immunotherapies or developing novel therapeutic strategies relies on a comprehensive understanding of the immune elements of the tumor microenvironment (TME). In this study, we aim to map at single-cell resolution the immune landscape of esophagus squamous cell carcinoma (ESCC), a common, aggressive, but understudied cancer of the gastrointestinal tract. We obtained a detailed immune cell atlas of the ESCC-associated transcriptome from a total of 80,787 tumor-infiltrating immune cells. Significant intertumoral heterogeneity was found among individual ESSC tumors. Exhausted T cells, exhausted NK cells, regulatory T cells, alternatively activated macrophages, and tolerogenic dendritic cells were discovered as the dominant portions of the immune cells in the TME. Dysfunctional T cells were the major proliferative cell compartment among tumor-infiltrating immune cells. In addition, strong potential interactions of immune cells in tumors may contribute to the immunosuppressive status and the progress of tumor development; a six-gene signature, comprising IFNGR1, IFNGR2, IDO1, IL10, CD163, and CD274, were associated with ESCC survival. Our results provided a comprehensive characterization of tumor-infiltrating immune cells in ESCC, indicating that immunosuppression of various kinds was synchronously responsible for the failure of immunosurveillance in ESCC. Specifically targeting the immunosuppressive pathways could reverse the immune-suppressive status and reactivate anti-tumor immune responses in ESCC.

2020-10-19 | GSE145370 | GEO

Immune suppressive landscape in the human esophageal squamous cell carcinoma microenvironment.

Project description: Not available

| S-EPMC7722722 | biostudies-literature

Gene expression profiles of esophageal squamous cell carcinoma cell lines

Project description:Profiles of esophageal squamous cell carcinoma and normal esophageal normal epithelium normal cell line. Analysis provides validation of novel microRNA targets prediction algorithms. esophageal squamous cell carcinoma:14, normal epithelium cell:2

2016-09-01 | E-GEOD-23964 | biostudies-arrayexpress

Esophageal squamous cell carcinoma WGS

Project description:Esophageal squamous cell carcinoma WGS Genome sequencing

| PRJNA511355 | ENA

Esophageal squamous cell carcinoma WGS1

Project description:Esophageal squamous cell carcinoma WGS1 Genome sequencing

| PRJNA511362 | ENA

Esophageal Squamous Cell Carcinoma Precursor Study

Project description:Esophageal Squamous Cell Carcinoma Precursor Study

| PRJNA807430 | ENA

Esophageal Squamous Cell Carcinoma Precursor Study

Project description:Esophageal Squamous Cell Carcinoma Precursor Study

| PRJNA807431 | ENA

Gene expression profiling of Barrett's esophagus, adenocarcinoma, esophageal squamous epithelium and squamous cell carcinoma

Project description:The aim of this study is to generate and validate biomarkers to stratify patients with Barrett’s esophagus in terms of risk for developing cancer. We studied gene expression profiling in 69 frozen specimens, consisting of esophageal squamous epithelium from 19 healthy subjects, 20 specimens from patients with Barrett’s esophagus and 21 cases of esophageal adenocarcinoma, 9 cased of esophageal squamous cell carcinoma by whole genome microarray analysis. Laser capture microdissection technique was applied to procure cells from defined regions of Barrett’s esophagus metaplasia and esophageal adenocarcinoma. Microarray results were validated by quantitative real-time polymerase chain reaction (qRT-PCR) in an independent cohort consisting of 42 cases. Furthermore, immunohistochemistry was performed using antibodies to two selected target molecules on a third independent cohort of 36 specimens, consisting of 36 cases. A total of 1176 genes were associated significantly with esophageal adenocarcinoma. The expression pattern of a 4 gene signature with the highest discriminant score based on linear discriminant analysis (GeneSpring GX10.2), was identified and validated by qRT-PCR in independent cohort. Gene expression profiling of 20 specimens of Barrett's esophagus patients, 21 specimens of adenocarcinoma patients and 19 biopsies from patients with normal esophageal squamous epithelium, 9 specimens of squamous cell carcinoma were studied.

2011-10-31 | E-GEOD-26886 | biostudies-arrayexpress

Gene expression profiles of esophageal squamous cell carcinoma cell lines

2016-09-01 | GSE23964 | GEO

Human esophageal dysplasia (16 cases) vs. esophageal squamous cell carcinoma (59 cases)

Project description:Our aim is to identify frequent genomic aberrations both in ESCC and esophageal dysplasia, and to discover important copy number-driving genes and microRNAs in ESCC. We carried out array-based comparative genomic hybridization (array CGH) on 59 ESCC resection samples and 16 dysplasia biopsy samples. Expression of genes at 11q13.3 was analyzed by real-time PCR and immunohistochemistry (IHC). Integrated analysis was performed to identify genes or microRNAs with copy number-expression correlations. Two group experiment, esophageal dysplasia vs. esophageal squamous cell carcinoma. Biological replicates: 16 dysplasias vs. 59 carcinomas

2013-04-29 | E-GEOD-46452 | biostudies-arrayexpress

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