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Diversity of Gene Expression in Hepatocellular Carcinoma Cells

Understanding tumor diversity has been a long-lasting and challenging question for researchers in the field of cancer heterogeneity or tumor evolution. Studies have reported that compared to normal cells, there is a higher genetic diversity in tumor cells, while higher genetic diversity is associate...

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Detalles Bibliográficos
Autores principales: Zhang, Fan, Cui, Li, Kuo, Michael D.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier 2015
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4747664/
https://www.ncbi.nlm.nih.gov/pubmed/26779818
http://dx.doi.org/10.1016/j.gpb.2015.07.003
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author Zhang, Fan
Cui, Li
Kuo, Michael D.
author_facet Zhang, Fan
Cui, Li
Kuo, Michael D.
author_sort Zhang, Fan
collection PubMed
description Understanding tumor diversity has been a long-lasting and challenging question for researchers in the field of cancer heterogeneity or tumor evolution. Studies have reported that compared to normal cells, there is a higher genetic diversity in tumor cells, while higher genetic diversity is associated with higher progression risks of tumor. We thus hypothesized that tumor diversity also holds true at the gene expression level. To test this hypothesis, we used t-test to compare the means of Simpson’s diversity index for gene expression (SDIG) between tumor and non-tumor samples. We found that the mean SDIG in tumor tissues is significantly higher than that in the non-tumor or normal tissues (P < 0.05) for most datasets. We also combined microarrays and next-generation sequencing data for validation. This cross-platform and cross-experimental validation greatly increased the reliability of our results.
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spelling pubmed-47476642016-03-01 Diversity of Gene Expression in Hepatocellular Carcinoma Cells Zhang, Fan Cui, Li Kuo, Michael D. Genomics Proteomics Bioinformatics Application Note Understanding tumor diversity has been a long-lasting and challenging question for researchers in the field of cancer heterogeneity or tumor evolution. Studies have reported that compared to normal cells, there is a higher genetic diversity in tumor cells, while higher genetic diversity is associated with higher progression risks of tumor. We thus hypothesized that tumor diversity also holds true at the gene expression level. To test this hypothesis, we used t-test to compare the means of Simpson’s diversity index for gene expression (SDIG) between tumor and non-tumor samples. We found that the mean SDIG in tumor tissues is significantly higher than that in the non-tumor or normal tissues (P < 0.05) for most datasets. We also combined microarrays and next-generation sequencing data for validation. This cross-platform and cross-experimental validation greatly increased the reliability of our results. Elsevier 2015-12 2016-01-11 /pmc/articles/PMC4747664/ /pubmed/26779818 http://dx.doi.org/10.1016/j.gpb.2015.07.003 Text en http://creativecommons.org/licenses/by/4.0/ This is an open access article under the CC BY license (http://creativecommons.org/licenses/by/4.0/).
spellingShingle Application Note
Zhang, Fan
Cui, Li
Kuo, Michael D.
Diversity of Gene Expression in Hepatocellular Carcinoma Cells
title Diversity of Gene Expression in Hepatocellular Carcinoma Cells
title_full Diversity of Gene Expression in Hepatocellular Carcinoma Cells
title_fullStr Diversity of Gene Expression in Hepatocellular Carcinoma Cells
title_full_unstemmed Diversity of Gene Expression in Hepatocellular Carcinoma Cells
title_short Diversity of Gene Expression in Hepatocellular Carcinoma Cells
title_sort diversity of gene expression in hepatocellular carcinoma cells
topic Application Note
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4747664/
https://www.ncbi.nlm.nih.gov/pubmed/26779818
http://dx.doi.org/10.1016/j.gpb.2015.07.003
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