ArticleProceedings of the National Academy of Sciences of the United States of America2007
Genes overexpressed in different human solid cancers exhibit different tissue-specific expression profiles.
Article in Proceedings of the National Academy of Sciences of the United States of America, 2007. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Cited by 31 papers, 2 of them syntheses that pooled it.
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Who cites it
31 citing papers in PubMed, 2 syntheses or guidelines pooled it, 71 citations in OpenAlex.
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- Meta-analysis of cancer gene expression signatures reveals new cancer genes, SAGE tags and tumor associated regions of co-regulation.Nucleic acids research · 2010Pooled it
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- Integrative Analysis of Potential Biomarkers Involved in the Progression of Papillary Thyroid Cancer.Applied biochemistry and biotechnology · 2023Article
- The Hippo pathway coactivator Yorkie can reprogram cell fates and create compartment-boundary-like interactions at clone margins.Science advances · 2020Article
- Exo1 phosphorylation inhibits exonuclease activity and prevents fork collapse in rad53 mutants independently of the 14-3-3 proteins.Nucleic acids research · 2020Article
- Bayesian Framework for Detecting Gene Expression Outliers in Individual Samples.JCO clinical cancer informatics · 2020Article
- Identification of novel biomarkers and small molecule drugs in human colorectal cancer by microarray and bioinformatics analysis.Molecular genetics & genomic medicine · 2019Article
- Human Exonuclease 1 (EXO1) Regulatory Functions in DNA Replication with Putative Roles in Cancer.International journal of molecular sciences · 2018Review
- CancerResource--updated database of cancer-relevant proteins, mutations and interacting drugs.Nucleic acids research · 2016Article
- Identification of Cancer Related Genes Using a Comprehensive Map of Human Gene Expression.PloS one · 2016Article
- Prediction of the gene expression in normal lung tissue by the gene expression in blood.BMC medical genomics · 2015Article
- Receptor-Independent Ectopic Activity of Prolactin Predicts Aggressive Lung Tumors and Indicates HDACi-Based Therapeutic Strategies.Antioxidants & redox signaling · 2015Article
Corrections and comments
- Erratum issuedBock-Axelsen, Jacob [corrected to Bock, Jacob Bock]
Authors and funding
5 authors at 1 institution in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
We have analyzed gene expression in different normal human tissues and different types of solid cancers derived from these tissues. The cancers analyzed include brain (astrocytoma and glioblastoma), breast, colon, endometrium, kidney, liver, lung, ovary, prostate, skin, and thyroid cancers. Comparing gene expression in each normal tissue to 12 other normal tissues, we identified 4,917 tissue-selective genes that were selectively expressed in different normal tissues. We also identified 2,929 genes that are overexpressed at least 4-fold in the cancers compared with the normal tissue from which these cancers were derived. The overlap between these two gene groups identified 1,340 tissue-selective genes that are overexpressed in cancers. Different types of cancers, including different brain cancers arising from the same lineage, showed differences in the tissue-selective genes they overexpressed. Melanomas overexpressed the highest number of brain-selective genes and this may contribute to melanoma metastasis to the brain. Of all of the genes with tissue-selective expression, those selectively expressed in testis showed the highest frequency of genes that are overexpressed in at least two types of cancer. However, colon and prostate cancers did not overexpress any testis-selective gene. Nearly all of the genes with tissue-selective expression that are overexpressed in cancers showed selective expression in tissues different from the cancers' tissue of origin. Cancers aberrantly expressing such genes may acquire phenotypic alterations that contribute to cancer cell viability, growth, and metastasis.
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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.