SynthesisProceedings of the National Academy of Sciences of the United States of America2004
Large-scale meta-analysis of cancer microarray data identifies common transcriptional profiles of neoplastic transformation and progression.
Synthesis in Proceedings of the National Academy of Sciences of the United States of America, 2004. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 460 papers, 21 of them syntheses that pooled it.
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
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Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
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Who cites it
460 citing papers in PubMed, 21 syntheses or guidelines pooled it.
- Pooled it
- Population structure discovery in meta-analyzed microbial communities and inflammatory bowel disease using MMUPHin.Genome biology · 2022Pooled it
- Meta-analysis of transcriptomic data reveals clusters of consistently deregulated gene and disease ontologies in Down syndrome.PLoS computational biology · 2021Pooled it
- Pooled it
- RNAAgeCalc: A multi-tissue transcriptional age calculator.PloS one · 2020Pooled it
- Meta-analysis of transcriptomic datasets identifies genes enriched in the mammalian circadian pacemaker.Nucleic acids research · 2017Pooled it
- Transcriptome meta-analysis reveals a dysregulation in extra cellular matrix and cell junction associated gene signatures during Dengue virus infection.Scientific reports · 2016Pooled it
- Comparative study of joint analysis of microarray gene expression data in survival prediction and risk assessment of breast cancer patients.Briefings in bioinformatics · 2016Pooled it
- A 380-gene meta-signature of active tuberculosis compared with healthy controls.The European respiratory journal · 2016Pooled it
- Reduction in expression of the benign AR transcriptome is a hallmark of localised prostate cancer progression.Oncotarget · 2016Pooled it
- LINC00472 expression is regulated by promoter methylation and associated with disease-free survival in patients with grade 2 breast cancer.Breast cancer research and treatment · 2015Pooled it
- Prioritizing therapeutics for lung cancer: an integrative meta-analysis of cancer gene signatures and chemogenomic data.PLoS computational biology · 2015Pooled it
- Pooled it
- Type I interferon related genes are common genes on the early stage after vaccination by meta-analysis of microarray data.Human vaccines & immunotherapeutics · 2015Pooled it
- Meta-analysis of prostate cancer gene expression data identifies a novel discriminatory signature enriched for glycosylating enzymes.BMC medical genomics · 2014Pooled it
- Prognostic and therapeutic significance of ribonucleotide reductase small subunit M2 in estrogen-negative breast cancers.BMC cancer · 2014Pooled it
- Integrated multi-cohort transcriptional meta-analysis of neurodegenerative diseases.Acta neuropathologica communications · 2014Pooled it
- A meta-analysis of lung cancer gene expression identifies PTK7 as a survival gene in lung adenocarcinoma.Cancer research · 2014Pooled it
- A meta-analysis approach for characterizing pan-cancer mechanisms of drug sensitivity in cell lines.PloS one · 2014Pooled it
- Differentially expressed genes in the pre-eclamptic placenta: a systematic review and meta-analysis.PloS one · 2013Pooled it
400 more citing papers are in PubMed but not listed here.
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
9 authors.
Funding
Abstract
Many studies have used DNA microarrays to identify the gene expression signatures of human cancer, yet the critical features of these often unmanageably large signatures remain elusive. To address this, we developed a statistical method, comparative metaprofiling, which identifies and assesses the intersection of multiple gene expression signatures from a diverse collection of microarray data sets. We collected and analyzed 40 published cancer microarray data sets, comprising 38 million gene expression measurements from >3,700 cancer samples. From this, we characterized a common transcriptional profile that is universally activated in most cancer types relative to the normal tissues from which they arose, likely reflecting essential transcriptional features of neoplastic transformation. In addition, we characterized a transcriptional profile that is commonly activated in various types of undifferentiated cancer, suggesting common molecular mechanisms by which cancer cells progress and avoid differentiation. Finally, we validated these transcriptional profiles on independent data sets.
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Registered trials
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.