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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

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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

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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

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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

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accession-icon GSE52915
PARVB overexpression increases migration capability and defines high risks for endophytic growth and metastasis in tongue squamous cell carcinoma.
  • organism-icon Homo sapiens
  • sample-icon 27 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133 Plus 2.0 Array (hgu133plus2)

Description

Tongue squamous cell carcinoma (TSCC) varies in characteristics even in early stages and is mainly classified into three subtypes, which are superficial, exophytic and endophytic types, based on a macroscopic appearance of tumor growth.Of these subtypes, endophytic tumor has a poorer prognosis because of its invasive feature and higher frequency to have metastasis. To understand a molecular mechanism of endophytic subtype and identify biomarkers, we performed comprehensive microarray analysis for mRNAs from clinical biopsy sampleswhich were classified into subtypes and found overexpression of parvin-beta (PARVB) gene significantly related to endophytic type. PARVB is known to play a critical role in actin reorganization and focal adhesions. Knocking down PARVB expression in vitrocaused apparent decreases in cell migration and wound healing, implying that PARVB has a crucial role in cellular motility. Moreover, metastasis-free survival was significantly lowered in patients with higher PARVB expression. Therefore overexpression of PARVB is a candidate biomarker for endophytic tumor and metastasis and may be clinically applicable for decision making of an adjuvant therapy in TSCC.

Publication Title

PARVB overexpression increases cell migration capability and defines high risk for endophytic growth and metastasis in tongue squamous cell carcinoma.

Sample Metadata Fields

Sex, Specimen part

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accession-icon GSE32323
Screening for Epigenetically Masked Genes in Colorectal Cancer using 5-aza-2-deoxycytidine treatment, Microarray and Gene Expression Profile
  • organism-icon Homo sapiens
  • sample-icon 42 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133 Plus 2.0 Array (hgu133plus2)

Description

Unearthing of silenced genes in colorectal cancer (CRC) is of great importance. We employed oligonucleotide microarray to find changes in global gene expression of five CRC cell lines. These were analyzed before and after treatment with the 5-aza-2'-Deoxycitidine. Expression of the responding genes was integrated with gene expression profiling generated by microarray analysis of matched colorectal tissue samples. Selected candidates were subjected to methylation-specific PCR (MSP) and real-time quantitative reverse transcription-PCR using CRC cell lines and paired tumor and normal samples from CRC patients. Sixty eight genes were re-expressed after 5-aza-2'-Deoxycitidine treatment and over-expressed in normal colorectal mucosa, including genes that were known to be methylated in CRC. After applying study selection criteria, we identified 16 potential genes. Two candidates were selected (ASPP1 and SCARA5). Among 15 CRC cell lines, methylation was identified in SCARA5 (20%). The methylation status of SCARA5 was subsequently investigated in 23 paired colorectal tissue samples; methylation was detected in 17%, respectively. Observed promoter methylation showed a tendency towards methylation in tumor-derived samples, in SCARA5 gene. Significant down expression of SCARA5 mRNA was observed in CRC cell lines and tumor tissues compared to adjacent normal tissues (P < 0.001 and P = 0.001, respectively). The use of genome-wide screening led to the identification of a group of candidate genes. Among them, SCARA5 was methylated and markedly down-regulated in CRC. SCARA5 gene may have a role in CRC tumorigenesis.

Publication Title

Screening for epigenetically masked genes in colorectal cancer Using 5-Aza-2'-deoxycytidine, microarray and gene expression profile.

Sample Metadata Fields

Specimen part

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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

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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

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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 GSE22598
Clinical significance of UNC5B Expression in Colorectal Cancer
  • organism-icon Homo sapiens
  • sample-icon 36 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133 Plus 2.0 Array (hgu133plus2)

Description

Purpose and Experimental Design: The purpose of this study is to find a methylation-related gene that could become a biomarker or therapeutic target in colorectal carcinoma (CRC). We screened candidate genes suspected to be silenced by DNA methylation using oligonucleotide microarray analysis. To investigate the clinical significance of one candidate gene (UNC5B), we analyzed the correlation between mRNA expression and clinicopathological features using clinical tissue samples. Finally, methylation specific PCR analysis was performed to reveal whether the promoter region was methylated in CRC cell lines. Results: We found 75 candidate genes that were potentially suppressed by DNA methylation in CRC. We focused on UNC5B, a possible tumor suppressor gene and regulator of apoptosis known to be inactivated in CRC. The mRNA expression analysis using tissue samples revealed that UNC5B mRNA was down-expressed in about 20% of CRC patients, and the patients with low-UNC5B-expression tumors showed a significantly higher recurrence rate after curative surgery. According to the univariate and multivariate analysis, low UNC5B expression was an independent risk factor for postoperative recurrence in stage I, II, and III CRC patients. Furthermore, patients with low expression of UNC5B in tumors had significantly poorer prognosis than those with high expression of UNC5B. Although UNC5B mRNA expression was restored by the demethylation treatment in CRC cell lines, the promoter region of UNC5B was not methylated. Conclusion: UNC5B is a potential biomarker for the selection of patients with high risk of postoperative recurrence and worse prognosis in CRC.

Publication Title

Clinical significance of UNC5B expression in colorectal cancer.

Sample Metadata Fields

Specimen part, Cell line, Treatment

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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)

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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.

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