GEO series

Gene expression data for pathological stage I-II lung adenocarcinomas

GSE31210 Homo sapiens (human) Expression microarray 246 samples Submitted 2011/11/01 Platform GPL570

At a glance

Expression microarray · human · 246 samples

What it is: Expression microarrayGene activity read on a chip (the older technology that RNA-seq replaced).
Organism: Homo sapiens (human)
Topic: Lung cancerThis series is part of our curated briefing on it.
Samples: 246 samples
Data you can get: A processed expression table (series matrix) and the array files, from NCBI.

Summary (written by the submitters)

Identification of genes up-regulated in ALK-positive and EGFR/KRAS/ALK-negative lung adenocarcinomas. To elucidate molecular characteristics of lung adenocarcinomas (ADCs) with ALK mutations and those without EGFR, KRAS and ALK mutations, 226 primary lung ADCs of pathological stage I-II, examined for the status of EGFR, KRAS and ALK mutations, were subjected to genome-wide expression profiling, and genes up-regulated in lung ADCs with ALK mutations and those without EGFR, KRAS and ALK mutations were identified.

Read the full summary ↓

One hundred and seventy-four genes, including ALK, were selected as being up-regulated specifically in 79 lung ADCs without EGFR and KRAS mutations. These 79 cases were divided into: 11 cases of ALK-positive ADCs, 36 cases of group A triple-negative ADCs, and 32 cases of group B triple-negative ADCs, by unsupervised clustering according to the expression of the 174 genes. In ALK-positive ADCs, 30 genes, including ALK itself and GRIN2A, were significantly overexpressed. Group A triple-negative ADC cases showed significantly worse prognoses for relapse and death than ADC cases with EGFR, KRAS or ALK mutations and group B triple-negative ADC cases. Nine genes were identified as being significantly up-regulated in group A triple-negative ADC cases and critical for predicting their prognosis. The nine genes included DEPDC1, which had been identified as a candidate diagnostic and therapeutic target in bladder and breast cancers. Genes discriminating this group of ADCs will be useful for selection of patients who will benefit from adjuvant chemotherapy after surgical resection of stage I-II triple-negative ADCs and also informative for the development of molecular targeting therapies for these patients.

This dataset

Open GSE31210 in finder → Find more human microarray datasets → Lung cancer 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 (GSE31210_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 PRJNA145977. Searching any of these in the dataset finder brings you back here.

NCBI GEO page ↗ Paper (PMID 22080568) ↗

Samples in this study

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

+ 246 more — browse all 246 samples with per-sample file links →

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