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Dataset Information

Integrated genomic analysis of recurrence-associated small non-coding RNAs in oesophageal cancer.


ABSTRACT:

Objective

Oesophageal squamous cell carcinoma (ESCC) is a heterogeneous disease with variable outcomes that are challenging to predict. A better understanding of the biology of ESCC recurrence is needed to improve patient care. Our goal was to identify small non-coding RNAs (sncRNAs) that could predict the likelihood of recurrence after surgical resection and to uncover potential molecular mechanisms that dictate clinical heterogeneity.

Design

We developed a robust prediction model for recurrence based on the analysis of the expression profile data of sncRNAs from 108 fresh frozen ESCC specimens as a discovery set and assessment of the associations between sncRNAs and recurrence-free survival (RFS). We also evaluated the mechanistic and therapeutic implications of sncRNA obt

SUBMITTER: Jang HJ 

PROVIDER: S-EPMC5536177 | biostudies-literature | 2017 Feb

REPOSITORIES: biostudies-literature