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A  paracrine IGF1/IGF1R-PI3K signaling loop underlies resistance to CSF-1R inhibition in GBM

GSE69104 Mus musculus (mouse) RNA-seq (gene expression) 32 samples Submitted 2016/05/20 Platform GPL13112
At a glance

RNA-seq (gene expression) · mouse · 32 samples

What it is
RNA-seq (gene expression)Gene activity measured by sequencing. The summary does not mention single-cell work, so this is most likely bulk: one average per sample, the usual starting point for comparing groups.
Organism
Mus musculus (mouse)
Samples
32 samples
Data you can get
A processed table (series matrix) and supplementary files from NCBI; the raw sequencing reads from ENA. Which of these hold counts depends on the study, so check the file list.
Summary (written by the submitters)
Glioblastoma multiforme (GBM) is the most aggressive form of glioma, and is notorious for its terminal prognosis and lack of responsiveness to current treatment approaches. The brain tumor microenvironment (TME) represents a largely untapped reservoir of therapeutic target options in GBM. Here we have focused on the interplay between glioma cells and tumor-associated macrophages/ microglia (TAMs).
Read the full summary ↓
TAMs accumulate in the gliomas with disease progression, and depend on colony stimulating factor 1 receptor (CSF-1R) signaling for survival. In a recent study from our laboratory, mice bearing high-grade gliomas were treated with a CSF-1R inhibitor, BLZ945 (Novartis), and tumors regressed significantly after just 7 days of treatment (PMID: 24056773). Here we investigate whether long-term treatment of high-grade gliomas with BLZ945 would result in stable management of disease in a mouse model of proneural GBM. We show that ~44% of mice survived to the trial end point (EP) with minimal disease by MRI and histology, whereas ~56% of mice showed tumor recurrence (Reb). Serial transplantation of rebound tumor cells into naïve animals re-established BLZ945 responsiveness, suggesting a role for the microenvironment in supporting recurrent disease. Indeed, RNA-seq analysis on FACS purified tumor cells and TAMs from EP and Reb tumors showed elevated PI3K signaling in Reb tumors, driven by a heterotypic paracrine interaction between TAM-derived IGF-1 and tumor cell IGF-1R. We performed combination trials to block IGF-1R or downstream PI3K signaling in rebound tumors with BLZ945 treatment, and were able to significantly prolong overall survival. Given that CSF-1R inhibitors are currently in clinical trials for multiple cancer types including for GBM, understanding the molecular mechanisms that underlie non-responsive/ resistant tumors is timely and critical.
This dataset
Download · which file do I need?

Direct links to NCBI and ENA, 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, or the whole study as GSE69104_RAW.tar (it can run to tens of gigabytes).

3 · Start from the raw reads

Raw sequencing reads

The original FASTQ files, straight from the sequencer, held at ENA. Large, and you align them yourself, so only choose this if you need to re-process the study from scratch.

What the files usually look like: For RNA-seq the counts are usually a table among the supplementary files (look for 'counts', 'expression', 'FPKM' or 'TPM' in the file name). The series matrix of a sequencing study is sometimes nearly empty.

Also filed as BioProject PRJNA284594. Searching any of these in the dataset finder brings you back here.

Samples in this study

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