GEO series

lncRNAs and mRNAs expression profile in liver diseases including HCC

GSE54238 Homo sapiens (human) Non-coding RNA profiling 56 samples Submitted 2014/01/22 Platform GPL16955

At a glance

Non-coding RNA profiling · human · 56 samples

What it is: Non-coding RNA profilingLevels of RNAs that do not code for proteins, such as miRNA or lncRNA.
Organism: Homo sapiens (human)
Samples: 56 samples
Data you can get: A processed expression table (series matrix) and the array files, from NCBI.

Summary (written by the submitters)

Sustained hepatic inflammation can contribute to cancer initiation and progression via tumor-initiating cell expansion, but underlying mechanisms remains unknown. Expression profiles of lncRNAs/mRNAs were measured in normal, chronic hepatitis, cirrhotic and cancerous livers. We found abundant disease-related lncRNAs/mRNAs deregulated across different stages of inflammation-triggered liver disease and refined a transformation gene signature to distinguish pathological liver tissues.

Read the full summary ↓

Amongst this signature, a conserved lncRNA DANCR was silenced in normal adult liver, but overexpressed in fetal and cancerous livers. Remarkably, increased DANCR significantly correlates with poor prognosis in multiple-center cohorts and is directly induced by inflammatory pathways including NF-κB and STAT3. DANCR could suppress cell differentiation and drive expansion of tumor-initiating cells, leading to chemoresistance. Moreover, in vitro and in vivo inhibition confirms the significance of DANCR as a therapeutic target when combined with other chemotherapy. We illustrate the role of DANCR relies on the regulation of CTNNB1 in a novel miRNA-blocking manner. Our studies reveal the expression of lncRNAs/mRNAs in normal and pathological livers and suggest the importance of oncofetal lncRNA DANCR in inflammation-induced malignant transformation, offering a potential prognostic marker and a therapeutic target for HCC.

This dataset

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Download · which file do I need?

Direct links to NCBI, no account and no request form. Pick by what you want to do: take the small processed table to look, the supplementary files to re-analyse, or the original raw data to start over.

1 · Just have a look

Processed table

The series matrix: one table of values per sample as the submitters processed it. The smallest download, and it opens in Excel or R. Start here to see what the data look like.

Series matrix ↓

2 · Re-analyse it

Supplementary files

The count tables and other files the authors uploaded. Take only the samples you need.

All supplementary files ↗

3 · The original raw files

Whole study · RAW.tar

Everything the authors deposited as one archive (GSE54238_RAW.tar), including the raw array or instrument files. Can be large; the picker in step 2 takes just the samples you need.

Whole study · RAW.tar ↓

Also filed as BioProject PRJNA236020. Searching any of these in the dataset finder brings you back here.

NCBI GEO page ↗ Paper (PMID 25964079) ↗

Samples in this study

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+ 56 more — browse all 56 samples with per-sample file links →

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