ArticlePloS one2010
A comparative analysis of gene-expression data of multiple cancer types.
Article in PloS one, 2010. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers, 1 of them a synthesis that pooled it.
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Who cites it
16 citing papers in PubMed, 1 synthesis or guideline pooled it.
- FUT11 as a potential biomarker of clear cell renal cell carcinoma progression based on meta-analysis of gene expression data.Tumour biology : the journal of the International Society for Oncodevelopmental Biology and Medicine · 2014Pooled it
- Open Data for Differential Network Analysis in Glioma.International journal of molecular sciences · 2020Article
- Sex-biased differences in the correlation between epithelial-to-mesenchymal transition-associated genes in cancer cell lines.Oncology letters · 2019Article
- HEPATOKIN1 is a biochemistry-based model of liver metabolism for applications in medicine and pharmacology.Nature communications · 2018Article
- Highly preserved consensus gene modules in human papilloma virus 16 positive cervical cancer and head and neck cancers.Oncotarget · 2017Article
- A clustering-based approach for efficient identification of microRNA combinatorial biomarkers.BMC genomics · 2017Article
- Constructing Bayesian networks by integrating gene expression and copy number data identifies NLGN4Y as a novel regulator of prostate cancer progression.Oncotarget · 2016Article
- A novel Markov Blanket-based repeated-fishing strategy for capturing phenotype-related biomarkers in big omics data.BMC genetics · 2016Article
- A five-gene reverse transcription-PCR assay for pre-operative classification of breast fibroepithelial lesions.Breast cancer research : BCR · 2016Article
- Hierarchical gene selection and genetic fuzzy system for cancer microarray data classification.PloS one · 2015Article
- Article
- Identification of human HK genes and gene expression regulation study in cancer from transcriptomics data analysis.PloS one · 2013Article
- Epstein-barr virus infected gastric adenocarcinoma expresses latent and lytic viral transcripts and has a distinct human gene expression profile.Infectious agents and cancer · 2012Article
- A comparative study of gene-expression data of basal cell carcinoma and melanoma reveals new insights about the two cancers.PloS one · 2012Article
- A novel five gene signature derived from stem-like side population cells predicts overall and recurrence-free survival in NSCLC.PloS one · 2012Article
- Integrated Analysis Reveals hsa-miR-142 as a Representative of a Lymphocyte-Specific Gene Expression and Methylation Signature.Cancer informatics · 2012Article
Corrections and comments
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Authors and funding
6 authors.
Funding
Abstract
A comparative study of public gene-expression data of seven types of cancers (breast, colon, kidney, lung, pancreatic, prostate and stomach cancers) was conducted with the aim of deriving marker genes, along with associated pathways, that are either common to multiple types of cancers or specific to individual cancers. The analysis results indicate that (a) each of the seven cancer types can be distinguished from its corresponding control tissue based on the expression patterns of a small number of genes, e.g., 2, 3 or 4; (b) the expression patterns of some genes can distinguish multiple cancer types from their corresponding control tissues, potentially serving as general markers for all or some groups of cancers; (c) the proteins encoded by some of these genes are predicted to be blood secretory, thus providing potential cancer markers in blood; (d) the numbers of differentially expressed genes across different cancer types in comparison with their control tissues correlate well with the five-year survival rates associated with the individual cancers; and (e) some metabolic and signaling pathways are abnormally activated or deactivated across all cancer types, while other pathways are more specific to certain cancers or groups of cancers. The novel findings of this study offer considerable insight into these seven cancer types and have the potential to provide exciting new directions for diagnostic and therapeutic development.
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