ArticleOncotarget2016
Prognostic value and their clinical implication of 89-gene signature in glioma.
Article in Oncotarget, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.
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Who cites it
11 citing papers in PubMed.
- The prognosis value of geriatric nutritional risk index and associated genes in elderly patients with locally advanced rectal cancer following neoadjuvant chemoradiotherapy.Nutrition journal · 2025Article
- Article
- Promoting Prognostic Model Application: A Review Based on Gliomas.Journal of oncology · 2021Review
- A 17-Gene Signature Predicted Prognosis in Renal Cell Carcinoma.Disease markers · 2020Article
- Prognostic Value of the FOXK Family Expression in Patients with Locally Advanced Rectal Cancer Following Neoadjuvant Chemoradiotherapy.OncoTargets and therapy · 2020Article
- Identification of Prognosis-Related Genes in Bladder Cancer Microenvironment across TCGA Database.BioMed research international · 2020Article
- Comparative genomic analysis of collagen gene diversity.3 Biotech · 2019Article
- G6PD as a predictive marker for glioma risk, prognosis and chemosensitivity.Journal of neuro-oncology · 2018Article
- The Prognostic 97 Chemoresponse Gene Signature in Ovarian Cancer.Scientific reports · 2017Article
- An 8-gene signature for prediction of prognosis and chemoresponse in non-small cell lung cancer.Oncotarget · 2016Article
- Article
Corrections and comments
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Authors and funding
16 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Gliomas are the most common and aggressive primary tumors in adults. The current approaches, such as histological classification and molecular genetics, have limitation in prediction of individual therapeutic outcomes due to heterogeneity within the tumor groups. Recent studies have proposed several gene signatures to predict glioma's prognosis. However, most of the gene expression profiling studies have been performed on relatively small number of patients and combined probes from diverse microarray chips. Here, we identified prognostic 89 common genes from diverse microarray chips. The 89-gene signature classified patients into good and bad prognostic groups which differed in the overall survival significantly, reflecting the biological characteristics and heterogeneity. The robustness and accuracy of the gene signature as an independent prognostic factor was validated in three microarray and one RNA-seq data sets independently. By incorporating into histological classification and molecular marker, the 89-gene signature could further stratify patients with 1p/19q co-deletion and IDH1 mutation. Additionally, subset analyses suggested that the 89-gene signature could predict patients who would benefit from adjuvant chemotherapy. Conclusively, we propose that the 89-gene signature would have an independent and accurate prognostic value for clinical use. This study also offers opportunities for novel targeted treatment of individual patients.
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Registered trials
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