GEO series

Molecular Signature of Hepatitis D Virus-Associated Hepatocellular Carcinoma

GSE107170 Homo sapiens (human) Expression microarray 307 samples Submitted 2018/04/09 Platform GPL570

At a glance

Expression microarray · human · 307 samples

What it is: Expression microarrayGene activity read on a chip (the older technology that RNA-seq replaced).
Organism: Homo sapiens (human)
Topic: Hepatocellular carcinomaThis series is part of our curated briefing on it.
Samples: 307 samples
Data you can get: A processed expression table (series matrix) and the array files, from NCBI.

Summary (written by the submitters)

To investigate the role of viral and host factors in HDV-associated HCC we carried out an integrated clinicopathological and gene expression study of tissue specimens and laser microdissected hepatocytes obtained at the time of liver transplantation from livers with HDV-HCC, HDV-cirrhosis without HCC, HCV-HCC and HBV-HCC. References to GSM series of HDV and HBV livers, already deposited in GEO, are included in this series.

Read the full summary ↓

Part of data of HCV livers are a re-analysis of GSE series GSE69715 and GSE78737, the re-analyzed GSM is indicated in the 'description' column and with a link at the bottom of the page.

This dataset

Open GSE107170 in finder → Find more human microarray datasets → Hepatocellular carcinoma landscape →

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 (GSE107170_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 ↓

What the files usually look like: For arrays the series matrix is normally the normalised expression table you want; the raw array files (CEL and similar) are in the RAW.tar.

Also filed as BioProject PRJNA419216. Searching any of these in the dataset finder brings you back here.

NCBI GEO page ↗ Paper (PMID 29858376) ↗

Samples in this study

The sample list for this study is not cached yet. Press Load samples and it will be fetched from NCBI.

+ 307 more — browse all 307 samples with per-sample file links →

More Hepatocellular carcinoma datasets

GSE109211 Molecular predictors of prevention of recurrence in hepatocellular carcinoma with sorafenib as adjuvant treatment in the phase 3 STORM trial 140 samples same disease briefing · shares hepatocellular
GSE10186 Integrative Transcriptome Analysis Reveals Common Molecular Subtypes of Human Hepatocellular Carcinoma 118 samples same disease briefing · shares hepatocellular
GSE14520 Gene expression data of human hepatocellular carcinoma (HCC) 488 samples same disease briefing · shares hepatocellular
GSE10143 Gene Expression in Fixed Tissues and Outcome in Hepatocellular Carcinoma 387 samples same disease briefing · shares hepatocellular
GSE105130 Comprehensive analysis of Transcriptome Profiles in Hepatocellular Carcinoma patients 52 samples same disease briefing · shares hepatocellular
GSE140228 Landscape and Dynamics of Single Immune Cells in Hepatocellular Carcinoma 41 samples same disease briefing · shares hepatocellular
GSE114564 Identification of novel serum biomarkers in early-stage HCC patients. 118 samples same disease briefing
GSE285625 Finding Sorafenib-Responding Signature in Hepatocellular Carcinoma (HCC) 33 samples shares hepatocellular, signature

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Metadata from NCBI GEO, cached and refreshed periodically — the NCBI page above is authoritative. Downloads link straight to NCBI/ENA; nothing is proxied through BioTransfer.