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Mucositis in patients with tonsil squamous cell carcinoma: gene expression profile of oral mucosa before, during, and after radiation therapy

GSE103412 Homo sapiens (human) Expression microarray 64 samples Submitted 2017/12/22 Platform GPL23978
At a glance

Expression microarray · human · 64 samples

What it is
Expression microarrayGene activity read on a chip (the older technology that RNA-seq replaced).
Organism
Homo sapiens (human)
Samples
64 samples
Data you can get
A processed expression table (series matrix) and the array files, from NCBI.
Summary (written by the submitters)
Objectives: In patients with tonsil squamous cell cancer (TSCC), radiation-therapy (RT) induce mucositis, which is clinically challenging with limited prophylactic interventions and no predictive tests. In a pilot study set-up, we performed global gene-expression analysis on human oral mucosa tissue and blood cells to identify differential expressed genes involved in mucositis pathogenesis.
Read the full summary ↓
Materials and Methods: Eight patients with TSCC had consecutive buccal biopsies and blood samples taken before, after 7 days of RT, and 20 days following RT. We monitored clinical mucositis and applied gene-expression analysis to the tissues. Single biopsies and blood tests from 9 healthy individuals served as controls (CON). Results: In response to RT, we did not register changes in the blood cells, but we found upregulation of both apoptosis inducers and inhibitors in the mucosa: EDA2R and MDM2; and POLH, encoding a polymerase that replicates UV-damaged DNA. Six members of the histone cluster family, e.g., HIST1H3B, involved in nucleosome structure, were downregulated. Genes related to proliferation were also altered: MKI67 (downregulated), encoding Ki-67-proliferation; and KRT16 (upregulated), encoding keratin16, characteristic in early differentiated epithelial cells. None of these alterations were associated to mucositis severity. However, before treatment, LY6G6C, which encodes a surface immunoregulatory protein, was upregulated in NM compared to UM, although not significantly. Conclusion: RT caused divergent changes in genes expression related to DNA damage and proliferation, all independently altered of mucositis severity. LY6G6C may be a potential predictive biomarker for UM following RT. Based on these result, we will design a prospective clinical validation trial, including more patients.
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 (GSE103412_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 PRJNA401715. Searching any of these in the dataset finder brings you back here.

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