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Impact of molecular subtypes in muscle-invasive bladder cancer on predicting response and survival outcome to neoadjuvant chemotherapy: results from a multi-institutional validation study

GSE87304 Homo sapiens (human) Expression microarray 305 samples Submitted 2017/05/25 Platform GPL22995
At a glance

Expression microarray · human · 305 samples

What it is
Expression microarrayGene activity read on a chip (the older technology that RNA-seq replaced).
Organism
Homo sapiens (human)
Topic
Bladder cancerThis series is part of our curated briefing on it.
Samples
305 samples
Data you can get
A processed expression table (series matrix) and the array files, from NCBI.
Summary (written by the submitters)
Four different molecular classifications of muscle-invasive bladder cancer (MIBC) based on gene expression have been proposed. With the ultimate goal of utilizing these molecular subtypes for personalized treatment, we investigated their significance in the context of neoadjuvant cisplatin-based chemotherapy (NAC).
This dataset
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.

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 (GSE87304_RAW.tar), including the raw array or instrument files. Can be large; the picker in step 2 takes just the samples you need.

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 PRJNA369003. Searching any of these in the dataset finder brings you back here.

Samples in this study

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