refine.bio
  • Search
      • Normalized Compendia
      • RNA-seq Sample Compendia
  • Docs
  • About
  • My Dataset
github link
Showing
of 12256 results
Sort by

Filters

Technology

Platform

accession-icon GSE27913
Overexpression of NUCKS1 in colorectal cancer correlates with recurrence after curative surgery
  • organism-icon Homo sapiens
  • sample-icon 112 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133 Plus 2.0 Array (hgu133plus2)

Description

This SuperSeries is composed of the SubSeries listed below.

Publication Title

Identification of NUCKS1 as a colorectal cancer prognostic marker through integrated expression and copy number analysis.

Sample Metadata Fields

Specimen part

View Samples
accession-icon GSE64258
Prognostic significance of overexpression of Traf2- and Nck- interacting kinase (TNIK) in colorectal cancer
  • organism-icon Homo sapiens
  • sample-icon 125 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133 Plus 2.0 Array (hgu133plus2)

Description

This SuperSeries is composed of the SubSeries listed below.

Publication Title

Prognostic significance of Traf2- and Nck- interacting kinase (TNIK) in colorectal cancer.

Sample Metadata Fields

Specimen part

View Samples
accession-icon GSE102083
FABP4 overexpressed in intratumoral hepatic stellate cells within hepatocellular carcinoma with metabolic risk factors
  • organism-icon Mus musculus, Homo sapiens
  • sample-icon 261 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133 Plus 2.0 Array (hgu133plus2)

Description

This SuperSeries is composed of the SubSeries listed below.

Publication Title

No associated publication

Sample Metadata Fields

Specimen part

View Samples
accession-icon GSE102079
FABP4 overexpressed in intratumoral hepatic stellate cells within hepatocellular carcinoma with metabolic risk factors (part 1)
  • organism-icon Homo sapiens
  • sample-icon 257 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133 Plus 2.0 Array (hgu133plus2)

Description

BACKGROUND & AIMS: Metabolic syndrome is a newly identified risk factor for hepatocellular carcinoma (HCC), however the molecular mechanisms still remain unclear. To elucidate this issue, cross-species analysis was performed to compare gene expression patterns of HCC from human patients and melanocortin 4 receptor-knockout (MC4R-KO) mice, developing HCC with obesity, insulin resistance and dyslipidemia. METHODS: Unsupervised hierarchical clustering and principle component analysis of 746 differentially expressed orthologous genes classified HCC of 152 human patients and MC4R-KO mice into two distinct subgroups, one of which included all the mouse HCC was etiologically associated with metabolic risk factors, such as obesity and diabetes. A specific biomarker was identified by the integrative analysis, and validated with in vitro studies and other cohort patients. RESULTS: As commonly overexpressed in human and mouse metabolic disease-associated HCC, FABP4 was remarkably enriched in intratumoral activated hepatic stellate cells (HSCs). Then, we established subclones constitutively expressing FABP4 from a human HSC cell line, in which the expression levels of inflammatory chemokines including IL1A and IL6 was upregulated through NF-B nuclear translocation. An immunohistochemical validation study of other 106 human HCC samples indicated that FABP4-positive HSCs were distributed in tumors of 38 cases, and that the FABP4-high group was composed of patients with non-viral and non-alcoholic HCC (P=0.027) and with multiple metabolic risk factors (P<0.001) compared with the FABP4-low. CONCLUSIONS: FABP4 overexpression in HSCs could contribute to hepatocellular carcinogenesis in patients with metabolic risk factors via modulation of inflammatory pathway, and is a promising novel biomarker as well as a potential therapeutic target for this subtype of HCC.

Publication Title

Fatty Acid Binding Protein 4 (FABP4) Overexpression in Intratumoral Hepatic Stellate Cells within Hepatocellular Carcinoma with Metabolic Risk Factors.

Sample Metadata Fields

Specimen part

View Samples
accession-icon GSE71222
Prognostic significance of overexpression of Traf2- and Nck- interacting kinase (TNIK) in colorectal cancer [152 samples]
  • organism-icon Homo sapiens
  • sample-icon 148 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133 Plus 2.0 Array (hgu133plus2)

Description

Background: The potential of expression profiling using microarray analysis as a tool to predict the prognosis for different types of cancer has been realized. This study aimed to identify a novel biomarker for colorectal cancer (CRC). Methods: The expression profiles of cancer cells in 152 patients with stage I-III CRC were examined using microarray analysis. High expression in CRC cells, especially in patients with distant recurrences, was a prerequisite to select candidate genes. Thus, we identified eleven candidate genes, and selected Traf2- and Nck-interacting kinase (TNIK), which was known to be associated with progression in CRC through Wnt signaling pathways. We analyzed the protein expression of TNIK using immunohistochemistry (IHC) and investigated the relationship between protein expression and patient characteristics in 220 stage I-III CRC patients. Results: Relapse-free survival was significantly worse in the TNIK high expression group than in the TNIK low expression group in stage II (p = 0.028) and stage III (p = 0.006) patients. In multivariate analysis, high TNIK expression was identified as a significant independent risk factor of distant recurrence in stage III patients. Conclusion: This study is the first to demonstrate the prognostic significance of intratumoral TNIK protein expression in clinical tissue samples of CRC, in that high expression of TNIK protein in primary tumors was associated with distant recurrence in stage II and III CRC patients. This TNIK IHC study might contribute to practical decision-making in the treatment of these patients.

Publication Title

Prognostic significance of Traf2- and Nck- interacting kinase (TNIK) in colorectal cancer.

Sample Metadata Fields

Specimen part

View Samples
accession-icon GSE21510
Clinical Significance of Osteoprotegerin Expression in Human Colorectal Cancer
  • organism-icon Homo sapiens
  • sample-icon 146 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133 Plus 2.0 Array (hgu133plus2)

Description

Purpose: This study aimed to identify a novel biomarker or a target of treatment for colorectal cancer (CRC).

Publication Title

Clinical significance of osteoprotegerin expression in human colorectal cancer.

Sample Metadata Fields

Specimen part

View Samples
accession-icon GSE64256
Prognostic significance of overexpression of Traf2- and Nck- interacting kinase (TNIK) in colorectal cancer [gene expression]
  • organism-icon Homo sapiens
  • sample-icon 125 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133 Plus 2.0 Array (hgu133plus2)

Description

Introduction: The potential of expression profiling using microarray analysis as a tool to predict the prognosis for different types of cancer has been realized. This study aimed to identify a novel biomarker for colorectal cancer (CRC). Experimental design: The expression profiles of cancer cells in 153 patients with CRC were examined using laser microdissection and oligonucleotide microarray analysis. Overexpression in CRC cells, especially in patients with distant metastases, was a prerequisite to select candidate genes. We analyzed the protein expression and localization of the candidate gene by immunohistochemical study and investigated the relationship between protein expression and clinicopathologic features in 271 CRC patients. Results: Using microarray analysis, we identified 11 candidate genes related to distant metastases in CRC patients. Among these genes, Traf2- and Nck- interacting kinase (TNIK) was known to be associated with aggressiveness in CRC through Wnt signaling. Absence of overexpression of TNIK protein was associated with significantly better overall survival (p < 0.001) and relapse-free survival (p < 0.001). Moreover, overexpression of TNIK protein was an independent risk factor for CRC recurrence (p = 0.009). Conclusion: Overexpression of TNIK might be a predictive biomarker of CRC recurrence.

Publication Title

Prognostic significance of Traf2- and Nck- interacting kinase (TNIK) in colorectal cancer.

Sample Metadata Fields

Specimen part

View Samples
accession-icon GSE27854
Overexpression of NUCKS1 in colorectal cancer correlates with recurrence after curative surgery (gene expression analysis)
  • organism-icon Homo sapiens
  • sample-icon 112 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133 Plus 2.0 Array (hgu133plus2)

Description

Purpose: The purpose of this study is to identify a novel biomarker related with distant metastases of colorectal cancer (CRC).

Publication Title

Identification of NUCKS1 as a colorectal cancer prognostic marker through integrated expression and copy number analysis.

Sample Metadata Fields

Specimen part

View Samples
accession-icon GSE18105
Stage II and stage III colorectal cancer
  • organism-icon Homo sapiens
  • sample-icon 103 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133 Plus 2.0 Array (hgu133plus2)

Description

Distant metastasis is the major causes of death in colorectal cancer (CRC) patients. In order to identify genes influencing the prognosis of patients with CRC, we compared gene expression in primary tumors with and without distant metastasis using an oligonucleotide microarray. We also examined the expression of the candidate gene in 100 CRC patients by quantitative real-time reverse transcription PCR and studied the relationship between its expression and the prognosis of patients with CRC. As a result, we identified MUC12 as a candidate gene involved in metastasis processes by microarray analysis. Quantitative real-time reverse transcription PCR showed that MUC12 expression was significantly lower in cancer tissues than in adjacent normal tissues (P < 0.001). In stage II and stage III CRC, patients with low expression showed worse disease-free survival (P = 0.038). Multivariate analysis disclosed that MUC12 expression status was an independent prognostic factor in stage II and stage III CRC (relative risk, 9.532; 95% confidence interval, 2.303-41.905; P = 0.002). This study revealed the prognostic value of MUC12 expression in CRC patients. Moreover, our result suggests MUC12 expression is a possible candidate gene for assessing postoperative adjuvant therapy for CRC patients.

Publication Title

MUC12 mRNA expression is an independent marker of prognosis in stage II and stage III colorectal cancer.

Sample Metadata Fields

Specimen part

View Samples
accession-icon GSE40873
Low SLC22A7 expression in noncancerous liver promotes hepatocellular carcinoma occurrence - a prospective study
  • organism-icon Homo sapiens
  • sample-icon 49 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133 Plus 2.0 Array (hgu133plus2)

Description

Background & Aims: The recurrence determines the postoperative prognosis of patients with hepatocellular carcinoma (HCC). It is unknown whether de novo HCCs derive from the liver with disability of an organic anion transport. This study was designed to elucidate the link between such transporters and the multicentric occurrence (MO) after radical hepatectomy.

Publication Title

Mitochondrial metabolism in the noncancerous liver determine the occurrence of hepatocellular carcinoma: a prospective study.

Sample Metadata Fields

Specimen part, Disease, Disease stage, Subject

View Samples
...

refine.bio is a repository of uniformly processed and normalized, ready-to-use transcriptome data from publicly available sources. refine.bio is a project of the Childhood Cancer Data Lab (CCDL)

fund-icon Fund the CCDL

Developed by the Childhood Cancer Data Lab

Powered by Alex's Lemonade Stand Foundation

Cite refine.bio

Casey S. Greene, Dongbo Hu, Richard W. W. Jones, Stephanie Liu, David S. Mejia, Rob Patro, Stephen R. Piccolo, Ariel Rodriguez Romero, Hirak Sarkar, Candace L. Savonen, Jaclyn N. Taroni, William E. Vauclain, Deepashree Venkatesh Prasad, Kurt G. Wheeler. refine.bio: a resource of uniformly processed publicly available gene expression datasets.
URL: https://www.refine.bio

Note that the contributor list is in alphabetical order as we prepare a manuscript for submission.

BSD 3-Clause LicensePrivacyTerms of UseContact