Dataset Information

Overexpression of NEK6 Associated with Poor Prognosis of Esophageal Squamous Cell Carcinoma

ABSTRACT: Esophageal squamous cell carcinoma (SCC) is frequently diagnosed at advanced stage and associated with poor prognosis. This study aimed to identify differentially expressed genes for further evaluated as biomarkers for predicting survival of the patients. Five paired of cancerous and normal tissues from esophageal SCC patients were subjected to cDNA microarray analysis and one of these differentially expressed genes, NEK6, was further verified in esophageal SCC tissues. The data showed 444 up-regulated genes and 918 down-regulated genes in tumor tissues (2 folds as a cut-off value). qRT-PCR data showed that 20 of 30 (66.7%) increased levels of NEK6 mRNA in cancerous tissues compared to that of distant normal tissues, while immunohistochemical data showed that 49/94 (52.13%) of the archived esophageal SCC tissues expressed higher levels of NEK6 than that of normal tissues. NEK6 expression was associated with depth of tumor invasion (P=0.005), lymph node metastasis (P=0.018), and advanced clinical tumor stages (P=0.004) of these 94 patients. Kaplan Meier curve showed that the overall survival of NEK6-positive patients was much lower than those of NEK6-negative patients (P<0.001). The median survival of NEK6-positive patients was 23 months, whereas the median survival of NEK6-negative patients was 64 months. The cumulative 5-year survival rate of NEK6-positive patients was 14.3% (7/49), whereas the rate of NEK6-negative patients was 64.4% (29/45). Multivariate analysis showed that N classification (P=0.002) and NEK6 expression (P<0.001) were independent predictors for esophageal SCC patients. These data demonstrated that NEK6 expression may serve as an independent prognostic indicator for patients with esophageal SCC.

ORGANISM(S): Homo sapiens

PROVIDER: GSE45168 | GEO | 2013/09/30

SECONDARY ACCESSION(S): PRJNA193230

REPOSITORIES: GEO

ACCESS DATA

Dataset's files

Source:

			Action	DRS
		Other

Items per page:

1 - 1 of 1

Similar Datasets

Project description:Objective: Globally, esophageal cancer is among the most deadly cancer forms. Long non-coding RNAs (lncRNA) are frequently found to have important regulatory roles. We aim to assess the lncRNA expression profile of esophageal squamous cell carcinoma (ESCC) and identify prognosis related lncRNAs. Design: LncRNA expression profiles were studied by microarray in paired tumor and normal tissues from 119 ESCC patients, and validated by qRT-PCR. The 119 patients were subsequently divided randomly into training (n=60) and test (n=59) groups. A prognostic signature was developed from the training group using a random forest supervised classification algorithm and a nearest shrunken centroid algorithm, and validated in test group and further in an independent cohort (n=60). The independence of the signature in survival prediction was evaluated by Multivariable Cox regression analysis. Results: LncRNAs showed significantly altered expression in ESCC tissues. From the training group, we identified a three-lncRNA signature (including the lncRNAs ENST00000435885•1, XLOC_013014, and ENST00000547963•1) which classified the patients into two groups with significantly different overall survival (median survival 19•2 months vs. not reached, p<0•0001). The signature was applied to the test group (median survival 21•5 months vs. not reached, p=0•0030) and independent cohort (median survival 25•8 months vs. not reached, p=0•0187) and showed similar prognostic values in both. Multivariable Cox regression analysis showed that the signature was an independent prognostic factor for ESCC patients. Stratified analysis suggested that the signature was prognostic within clinical stages. Conclusions: Our results suggest that the three-lncRNA signature can serve as a novel biomarker for the prognosis of ESCC patients. Application of it allows for more accurate survival prediction. The lncRNA expression profiles of cancer and adjacent normal tissues form 119 ESCC patients were studied by microarray and an lncRNA signature that can perdict the survival of ESCC patients was identified.

Dataset Information

Overexpression of NEK6 Associated with Poor Prognosis of Esophageal Squamous Cell Carcinoma

Dataset's files

Similar Datasets

OmicsDI is part of the ELIXIR infrastructure

Tweets