GEO series

Tumor Infiltrating Lymphocytes and Immune-Related Genes as Predictors of Outcome in Pancreatic Adenocarcinoma

GSE132946 Homo sapiens (human) Expression microarray 6 samples Submitted 2019/06/19 Platform GPL23249

At a glance

Expression microarray · human · 6 samples

What it is: Expression microarrayGene activity read on a chip (the older technology that RNA-seq replaced).
Organism: Homo sapiens (human)
Topic: Pancreatic cancerThis series is part of our curated briefing on it.
Samples: 6 samples
Data you can get: A processed expression table (series matrix) and the array files, from NCBI.

Summary (written by the submitters)

Background. We investigated the correlation of pancreatic ductal adenocarcinoma patient prognosis with the presence of tumor infiltrating lymphocytes and expression of 521 immune system genes. Methods. Intratumoral CD3+, CD8+, and CD20+ lymphocytes were examined by immunohistochemistry in 12 PDAC patients with different outcomes who underwent pancreaticoduodenectomy.

Read the full summary ↓

The results were correlated with the gene expression profile using the digital multiplexed NanoString nCounter analysis system (NanoString Technologies, Seattle, WA, USA). Results. Twenty immune system genes were significantly differentially expressed in patients with a good prognosis relative to patients with a worse prognosis: TLR2 and TLR7 (Toll-like receptor superfamily); CD4, CD37, FOXP3, PTPRC (B cell and T cell signalling); IRF5, IRF8, STAT1, TFE3 (transcription factors); ANP32B, CCND3 (cell cycle); BTK (B cell development); TNF, TNFRF1A (TNF superfamily); HCK (leukocyte function); C1QA (complement system); BAX, PNMA1 (apoptosis); IKBKE (NFB pathway). Differential expression was more than twice log 2 for TLR7, TNF, C1QA, FOXP3, and CD37. Discussion. Tumor infiltrating lymphocytes were present at higher levels in samples from patients with better prognosis. Our findings indicate that tumor infiltrating lymphocyte levels and expression level of the genes listed above influence pancreatic ductal adenocarcinoma prognosis. This information could be used to improve selection of best responders to immune inhibitors.

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 (GSE132946_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 PRJNA549509. Searching any of these in the dataset finder brings you back here.

NCBI GEO page ↗ Paper (PMID 31381571) ↗

Samples in this study

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+ 6 more — browse all 6 samples with per-sample file links →

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GSE132956 Gene Expression Data of Pancreatic Ductal Adenocarcinoma and Normal Tissue 15 samples same disease briefing · shares adenocarcinoma, pancreatic
GSE107818 A serum-induced transcriptome and serum cytokine signature obtained at diagnosis correlates with the development of early pancreatic ductal adenocarcinoma metastasis 11 samples same disease briefing · shares adenocarcinoma, pancreatic
GSE179351 Radiation Therapy Inhances Immunotherapy Response in Microsatellite-stable Colorectal and Pancreatic Adenocarcinoma in a Phase II Trial 54 samples same disease briefing · shares adenocarcinoma, pancreatic
GSE118694 Application of the High-throughput TAB-Array for the Discovery of Novel 5-Hydroxymethylcytosine Biomarkers in Pancreatic Ductal Adenocarcinoma 34 samples same disease briefing · shares adenocarcinoma, pancreatic
GSE151580 Integrative transcriptomic characterization of matched primary and hepatic metastases of pancreatic ductal adenocarcinoma 33 samples same disease briefing · shares adenocarcinoma, pancreatic
GSE288221 RNA sequencing human melanoma, glioblastoma and pancreatic adenocarcinoma cell lines 32 samples same disease briefing · shares adenocarcinoma, pancreatic

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