ArticlePloS one2011
The accuracy of survival time prediction for patients with glioma is improved by measuring mitotic spindle checkpoint gene expression.
Article in PloS one, 2011. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 38 papers.
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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
38 citing papers in PubMed, 61 citations in OpenAlex.
- Trial
- Centromeres in cancer: Unraveling the link between chromosomal instability and tumorigenesis.Medical oncology (Northwood, London, England) · 2024Review
- Expression of the checkpoint kinase BUB1 is a predictor of response to cancer therapies.Scientific reports · 2024Article
- Prediction of Adrenocortical Carcinoma Relapse and Prognosis with a Set of Novel Multigene Panels.Cancers · 2022Article
- Research progress of Bub3 gene in malignant tumors.Cell biology international · 2022Review
- Inhibiting microcephaly genes as alternative to microtubule targeting agents to treat brain tumors.Cell death & disease · 2021Review
- Article
- Identification of potential crucial genes and molecular mechanisms in glioblastoma multiforme by bioinformatics analysis.Molecular medicine reports · 2020Article
- Monopolar Spindle 1 Kinase (MPS1/TTK) mRNA Expression is Associated with Earlier Development of Clinical Symptoms, Tumor Aggressiveness and Survival of Glioma Patients.Biomedicines · 2020Article
- Predicting Individual Prognosis and Grade of Patients with Glioma Based on Preoperative Eosinophil and Neutrophil-to-Lymphocyte Ratio.Cancer management and research · 2020Article
- KIF4A Promotes Clear Cell Renal Cell Carcinoma (ccRCC) Proliferation in vitro and in vivo.OncoTargets and therapy · 2020Article
- Article
- Transcriptome analysis reveals the molecular mechanisms of combined gamma-tocotrienol and hydroxychavicol in preventing the proliferation of 1321N1, SW1783, and LN18 glioma cancer cells.Journal of physiology and biochemistry · 2019Article
- Seven genes for the prognostic prediction in patients with glioma.Clinical & translational oncology : official publication of the Federation of Spanish Oncology Societies and of the National Cancer Institute of Mexico · 2019Article
- Hyperphosphorylation of CDH1 in Glioblastoma Cancer Stem Cells Attenuates APC/CMolecular cancer research : MCR · 2019Article
- Examining the biomarkers and molecular mechanisms of medulloblastoma based on bioinformatics analysis.Oncology letters · 2019Article
- Identification of potential biomarkers related to glioma survival by gene expression profile analysis.BMC medical genomics · 2019Article
- Loss of GINS2 inhibits cell proliferation and tumorigenesis in human gliomas.CNS neuroscience & therapeutics · 2019Article
- Aneuploidy: Cancer strength or vulnerability?International journal of cancer · 2019Review
- Alkylaminophenol Induces G1/S Phase Cell Cycle Arrest in Glioblastoma Cells Through p53 and Cyclin-Dependent Kinase Signaling Pathway.Frontiers in pharmacology · 2019Article
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Authors and funding
8 authors at 3 institutions in 2 countries.
Funding
Abstract
Identification of gene expression changes that improve prediction of survival time across all glioma grades would be clinically useful. Four Affymetrix GeneChip datasets from the literature, containing data from 771 glioma samples representing all WHO grades and eight normal brain samples, were used in an ANOVA model to screen for transcript changes that correlated with grade. Observations were confirmed and extended using qPCR assays on RNA derived from 38 additional glioma samples and eight normal samples for which survival data were available. RNA levels of eight major mitotic spindle assembly checkpoint (SAC) genes (BUB1, BUB1B, BUB3, CENPE, MAD1L1, MAD2L1, CDC20, TTK) significantly correlated with glioma grade and six also significantly correlated with survival time. In particular, the level of BUB1B expression was highly correlated with survival time (p<0.0001), and significantly outperformed all other measured parameters, including two standards; WHO grade and MIB-1 (Ki-67) labeling index. Measurement of the expression levels of a small set of SAC genes may complement histological grade and other clinical parameters for predicting survival time.
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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.