2016
DOI: 10.18632/oncotarget.12713
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Integrative genomics reveals hypoxia inducible genes that are associated with a poor prognosis in neuroblastoma patients

Abstract: Neuroblastoma is notable for its broad spectrum of clinical behavior ranging from spontaneous regression to rapidly progressive disease. Hypoxia is well known to confer a more aggressive phenotype in neuroblastoma. We analyzed transcriptome data from diagnostic neuroblastoma tumors and hypoxic neuroblastoma cell lines to identify genes whose expression levels correlate with poor patient outcome and are involved in the hypoxia response. By integrating a diverse set of transcriptome datasets, including those fro… Show more

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Cited by 32 publications
(30 citation statements)
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“…Patients were categorized as having high or low expression of MELK using a sliding window to include at least 10% of patients similar to prior reports (27). The log-rank test was used to calculate the P value of the survival difference between high-and low-expression groups in each window.…”
Section: Survival Analysismentioning
confidence: 99%
“…Patients were categorized as having high or low expression of MELK using a sliding window to include at least 10% of patients similar to prior reports (27). The log-rank test was used to calculate the P value of the survival difference between high-and low-expression groups in each window.…”
Section: Survival Analysismentioning
confidence: 99%
“…Tumor hypoxia is well recognized in oncology as a key factor resulting in treatment failure and poor prognosis 19 - 21 . Hypoxia is thought to play a pivotal role in accelerating tumor progression by both inducting EMT of tumor cells and polarization of TAMs 11 .…”
Section: Discussionmentioning
confidence: 99%
“…Global gene expression analysis has also been used to investigate the relationship between hypoxia and NB progression, particularly analysing the role of HIF-2α. In support of the induction by hypoxia of immature stem-cell-like features contributing to a malignant phenotype in NB, Applebaum et al integrated diverse transcriptomics datasets from NB tumours and cell lines, identifying a hypoxia-upregulated signature correlated with poor patient outcome in three independent cohorts [49]. The signature included the expression of LCO4A1, ENO1, HK2, PGK1, MTFP1, HILPDA, VKORC1, TPI1, and HIST1H1C.…”
Section: Neuroblastoma Differentiation and Stemness In Hypoxic Contextsmentioning
confidence: 99%