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Differentially expressed microRNAs in colorectal cancer metastasis.

Abba M, Benner A, Patil N, Heil O, Allgayer H - Genom Data (2015)

Bottom Line: Tumor metastasis continues to be the most significant contributor to cancer related mortality, and although several studies have examined expression profiles emanating from patients with metastatic disease, very little information is available about signatures that differentiate metastatic lesions from primary tumors and associated normal tissues, largely because such matched tissue sample series are rare.This study was specifically designed to identify the metastasis relevant microRNAs in colorectal cancer and characterize microRNAs that modulate the metastatic phenotype.Here we describe in detail how the data, deposited in the Gene Expression Omnibus (GEO) with the accession number GSE54088, was generated including the basic analysis as contained in the manuscript published in Cancer Research with the PMID 26069251.

View Article: PubMed Central - PubMed

Affiliation: Department of Experimental Surgery, Medical Faculty Mannheim, University of Heidelberg, Germany ; Centre for Biomedicine and Medical Technology (CBTM), Mannheim, Germany.

ABSTRACT
Tumor metastasis continues to be the most significant contributor to cancer related mortality, and although several studies have examined expression profiles emanating from patients with metastatic disease, very little information is available about signatures that differentiate metastatic lesions from primary tumors and associated normal tissues, largely because such matched tissue sample series are rare. This study was specifically designed to identify the metastasis relevant microRNAs in colorectal cancer and characterize microRNAs that modulate the metastatic phenotype. Here we describe in detail how the data, deposited in the Gene Expression Omnibus (GEO) with the accession number GSE54088, was generated including the basic analysis as contained in the manuscript published in Cancer Research with the PMID 26069251.

No MeSH data available.


Related in: MedlinePlus

Schematic representation of experimental flow. RNA was extracted from primary tumor, normal mucosa, and metastasis and background tissue of colorectal cancer patients. Total RNA was subsequently processed for miRNA and mRNA profiling using microarray platforms. The data presented in this manuscript is only for the miRNA data, in which 9 patients were profiled, but one was dropped for subsequent comparative analysis with the mRNA data.
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f0005: Schematic representation of experimental flow. RNA was extracted from primary tumor, normal mucosa, and metastasis and background tissue of colorectal cancer patients. Total RNA was subsequently processed for miRNA and mRNA profiling using microarray platforms. The data presented in this manuscript is only for the miRNA data, in which 9 patients were profiled, but one was dropped for subsequent comparative analysis with the mRNA data.

Mentions: Tissue samples from colorectal cancer patients comprising the primary tumor, adjacent normal tissue, resected metastasis and the normal background tissue in which the metastasis occurred were obtained from and used for miRNA profiling (Fig. 1).


Differentially expressed microRNAs in colorectal cancer metastasis.

Abba M, Benner A, Patil N, Heil O, Allgayer H - Genom Data (2015)

Schematic representation of experimental flow. RNA was extracted from primary tumor, normal mucosa, and metastasis and background tissue of colorectal cancer patients. Total RNA was subsequently processed for miRNA and mRNA profiling using microarray platforms. The data presented in this manuscript is only for the miRNA data, in which 9 patients were profiled, but one was dropped for subsequent comparative analysis with the mRNA data.
© Copyright Policy - CC BY-NC-ND
Related In: Results  -  Collection

License
Show All Figures
getmorefigures.php?uid=PMC4664671&req=5

f0005: Schematic representation of experimental flow. RNA was extracted from primary tumor, normal mucosa, and metastasis and background tissue of colorectal cancer patients. Total RNA was subsequently processed for miRNA and mRNA profiling using microarray platforms. The data presented in this manuscript is only for the miRNA data, in which 9 patients were profiled, but one was dropped for subsequent comparative analysis with the mRNA data.
Mentions: Tissue samples from colorectal cancer patients comprising the primary tumor, adjacent normal tissue, resected metastasis and the normal background tissue in which the metastasis occurred were obtained from and used for miRNA profiling (Fig. 1).

Bottom Line: Tumor metastasis continues to be the most significant contributor to cancer related mortality, and although several studies have examined expression profiles emanating from patients with metastatic disease, very little information is available about signatures that differentiate metastatic lesions from primary tumors and associated normal tissues, largely because such matched tissue sample series are rare.This study was specifically designed to identify the metastasis relevant microRNAs in colorectal cancer and characterize microRNAs that modulate the metastatic phenotype.Here we describe in detail how the data, deposited in the Gene Expression Omnibus (GEO) with the accession number GSE54088, was generated including the basic analysis as contained in the manuscript published in Cancer Research with the PMID 26069251.

View Article: PubMed Central - PubMed

Affiliation: Department of Experimental Surgery, Medical Faculty Mannheim, University of Heidelberg, Germany ; Centre for Biomedicine and Medical Technology (CBTM), Mannheim, Germany.

ABSTRACT
Tumor metastasis continues to be the most significant contributor to cancer related mortality, and although several studies have examined expression profiles emanating from patients with metastatic disease, very little information is available about signatures that differentiate metastatic lesions from primary tumors and associated normal tissues, largely because such matched tissue sample series are rare. This study was specifically designed to identify the metastasis relevant microRNAs in colorectal cancer and characterize microRNAs that modulate the metastatic phenotype. Here we describe in detail how the data, deposited in the Gene Expression Omnibus (GEO) with the accession number GSE54088, was generated including the basic analysis as contained in the manuscript published in Cancer Research with the PMID 26069251.

No MeSH data available.


Related in: MedlinePlus