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Erratum: Large meta-analysis of multiple cancers reveals a common, compact and highly prognostic hypoxia metagene
- Source :
- British Journal of Cancer, British Journal of Cancer; Vol 102
- Publication Year :
- 2010
- Publisher :
- Springer Science and Business Media LLC, 2010.
-
Abstract
- Background: There is a need to develop robust and clinically applicable gene expression signatures. Hypoxia is a key factor promoting solid tumour progression and resistance to therapy; a hypoxia signature has the potential to be not only prognostic but also to predict benefit from particular interventions. Methods: An approach for deriving signatures that combine knowledge of gene function and analysis of in vivo co-expression patterns was used to define a common hypoxia signature from three head and neck and five breast cancer studies. Previously validated hypoxia-regulated genes (seeds) were used to generate hypoxia co-expression cancer networks. Results: A common hypoxia signature, or metagene, was derived by selecting genes that were consistently co-expressed with the hypoxia seeds in multiple cancers. This was highly enriched for hypoxia-regulated pathways, and prognostic in multivariate analyses. Genes with the highest connectivity were also the most prognostic, and a reduced metagene consisting of a small number of top-ranked genes, including VEGFA, SLC2A1 and PGAM1, outperformed both a larger signature and reported signatures in independent data sets of head and neck, breast and lung cancers. Conclusion: Combined knowledge of multiple genes' function from in vitro experiments together with meta-analysis of multiple cancers can deliver compact and robust signatures suitable for clinical application.
- Subjects :
- Oncology
medicine.medical_specialty
Bone marrow transplant
Cancer Research
distant relapse
0206 medical engineering
Gene Expression
Breast Neoplasms
02 engineering and technology
Biology
Bioinformatics
Models, Biological
03 medical and health sciences
0302 clinical medicine
Internal medicine
medicine
Humans
Lung cancer
Hypoxia
030304 developmental biology
0303 health sciences
Distant relapse
Cancer
Genetics and Genomics
Hypoxia (medical)
medicine.disease
Prognosis
3. Good health
meta-analysis
Gene Expression Regulation
Head and Neck Neoplasms
Meta-analysis
030220 oncology & carcinogenesis
Meta analisis
Metagenome
medicine.symptom
Skin cancer
Erratum
020602 bioinformatics
Subjects
Details
- ISSN :
- 15321827 and 00070920
- Volume :
- 103
- Database :
- OpenAIRE
- Journal :
- British Journal of Cancer
- Accession number :
- edsair.doi.dedup.....e44b0edd163480237bd05c6be076e3aa
- Full Text :
- https://doi.org/10.1038/sj.bjc.6605933