Browse
Submit Data
Databases
API
Help

Dataset Information

0 Views

0 Connections

0 Citations

0 Reanalyses

0 Downloads

Omics score: 0

Transcriptome map of cancerous and para-cancerous tissues in patients with liver hepatocellular carcinoma

ABSTRACT: To validate CXCL12 and IL7R expression between cancerous and paracancerous, five cancer and five paracancerous tissues，wihch were obtained from five LIHC patients undergoing liver cancer surgery at the Guangdong Second Provincial General Hospital，were performed RNA-seq. The RNA-seq data showed a significant difference in CXCL12 expression between cancerous and paracancerous tissues (p =0.04), as well as the IL7R expression (p<0.01). There was also a significant difference between cancerous and paracancerous samples in NK cells (resting) (p = 0.0014), M1 macrophages (p = 0.0058), CD8+ T cells (p = 0.0026), and Tregs (p = 0.0015) in the immunocyte infiltration analysis.

ORGANISM(S): Homo sapiens

PROVIDER: GSE154964 | GEO | 2020/12/02

REPOSITORIES: GEO

ACCESS DATA

Json Xml

Dataset's files

Source:

			Action	DRS
		Other

Items per page:

1 - 1 of 1

Similar Datasets

Transcriptome of normal, paracancerouse and cancerous bladder tissues based on RNA-Seq method

Project description:In order to support our research of bladder cancer in human genome, we conducted massively parallel pyrosequencing of mRNAs (RNA-Seq) using normal, paracancerouse and cancerous human bladder tissues. We obtained a total of 30.0 million read pairs from normal, 33.1 million read pairs from paracancerous and 36.5 million read pairs from cancerous. The RNA-Seq data derived from the sample illustrated the differencially expression genes among normal, paracancerous and cancerous bladder tissues of human. 3 samples examined: normal tissue, paracancerous tissue, cancerous tissue.

2013-01-01 | E-GEOD-35178 | biostudies-arrayexpress

Transcriptome of normal,paracancerous and cancerous colon tissues based on RNA-seq method

Project description:To support our research of colon cancer in human genome, we conducted massively parallel pyrosequencing of mRNAs (RNA-seq) using normal,paracancerouse and cancerous human colon tissues. We obtained a total of 29.9M reads from normal,33.0M reads from paracancerous and 36.5M reads from cancerous.The RNA-seq data derived from the sample illustrated the differencially expreesion genes among normal,paracancerous and cancerous colon tissues of human. 3 samples examined: normal tissue, paracancerous tissue, cancerous tissue.

2012-08-21 | E-GEOD-33782 | biostudies-arrayexpress

Transcriptome of normal, paracancerouse and cancerous bladder tissues based on RNA-Seq method

2013-01-01 | GSE35178 | GEO

Transcriptome of normal,paracancerous and cancerous colon tissues based on RNA-seq method

2012-08-21 | GSE33782 | GEO

Gene expression profile of cancerous and non-cancerous renal tissues

Project description:Gene expression profile of cancerous and non-cancerous renal tissues

| PRJNA714233 | ENA

DNA methylation profile of cancerous and non-cancerous renal tissues

Project description:DNA methylation profile of cancerous and non-cancerous renal tissues

| PRJNA701825 | ENA

Genome-wide analysis of colorectal cancer

Project description:Cancerous and paracancerous tissues of 6 cases having colorectal cancer were examined, such as up- or down-regulated specific cellular functions.

2015-09-10 | GSE54986 | GEO

Genome-wide analysis of colorectal cancer

Project description:Cancerous and paracancerous tissues of 6 cases having colorectal cancer were examined, such as up- or down-regulated specific cellular functions. Total RNA obtained from isolated cancer tissues, Illumina HumanHT-12 v4 Expression BeadChip being used.

2015-09-10 | E-GEOD-54986 | biostudies-arrayexpress

Normal and Cancerous Prostate Cells

Project description:This SuperSeries is composed of the following subset Series: GSE38674: Genomic DNA in Normal and Cancerous Prostate Cells GSE38676: Expression Analysis of Normal and Cancerous Prostate Cells GSE38677: Mapping of Transcription Start Sites of Normal and Cancerous Prostate Cells GSE38682: H3K4me3 Marks in Normal and Cancerous Prostate Cells GSE38683: H3K27me3 Marks in Normal and Cancerous Prostate Cells GSE38684: Chromatin Looping of Normal and Cancerous Prostate Cells Refer to individual Series

2012-10-16 | E-GEOD-38685 | biostudies-arrayexpress

Paired non-cancerous and cancerous miRNA expression of esophageal adenocarcinoma and squamous cell carcinoma patients

Project description:Identifying biomarkers predictive for early esophageal cancer detection is critical considering the dismal survival rates. We investigated the involvement of microRNAs (miRNAs), their utility as biomarkers, and their association with survival in esophageal cancer, including Barrett’s associated and sporadic adenocarcinoma (ADC), and squamous cell carcinoma (SCC). MiRNA expression was measured in cancerous and adjacent non-cancerous tissue pairs collected from 76 US and Japanese patients enrolled in 3 distinct cohorts. In ADC patients, miR-21, miR-194, miR-293, and miR-223 expression was elevated, while miR-375 and miR-203 expression was reduced in cancerous tissue compared to non-cancerous tissue. Increased levels of miR-192 and miR-194 were observed in Barrett’s associated compared to sporadic ADC cancerous tissue. In SCC patients, miR-21, miR-181b, miR-155, and miR-146b expression was elevated while miR-375 and miR-203 levels were reduced in cancerous tissue compared to non-cancerous tissue. Significantly, elevated mir-21 expression in non-cancerous tissue was strongly associated with worse prognosis, independent of nodal status and age. Sample classification using miRNA expression yielded accuracies as high as 86% for diagnosis and 78% for Barrett’s esophagus status. Our results highlight that miRNAs are deregulated in esophageal carcinogenesis and Barrett’s esophagus, and that their expression is associated with survival in cancer patients. Sample classification using miRNA expression demonstrates their potential utility as biomarkers for esophageal carcinoma diagnosis.

2010-07-09 | GSE13937 | GEO

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