← BioTransfer GEO Dataset Finder
GEO series

Low MITF/AXL ratio predicts early resistance to multiple targeted drugs in melanoma

GSE61544 Homo sapiens Expression profiling by high throughput sequencing 14 samples Submitted 2014/09/19 Platform GPL11154
Summary
Increased MITF expression contributes to melanoma progression and resistance to BRAF pathway inhibition. We show that, unexpectedly, lack of MITF is associated with more severe resistance to a range of inhibitors. Indeed, the presence of endogenous MITF was essential for robust drug responses. Both in primary and acquired resistance, MITF levels inversely correlated with expression of several activated receptor tyrosine kinases, most commonly AXL. The MITF-low/AXL-high/drug resistance phenotype was seen in roughly half of BRAF mutant and the majority of NRAS mutant melanoma cell lines. The dichotomous behavior of MITF in drug response was corroborated in vemurafenib-resistant biopsies, including MITF high and low clones in a relapsed patient. Drug cocktails containing AXL inhibitor enhanced melanoma cell elimination by BRAF or ERK inhibition. Our results demonstrate that a low MITF/AXL ratio predicts early resistance to multiple targeted drugs, and warrant clinical validation of AXL inhibitors to combat resistance of BRAF and NRAS mutant MITF-low melanomas.
This dataset
Download

Direct links to NCBI, no account and no request form: the whole study as GSE61544_RAW.tar, processed values as the series matrix, the supplementary file directory, and per-sample supplementary files for any of the 14 samples. Raw sequencing reads are also available from ENA.

Also filed as BioProject PRJNA261431 and SRA study SRP047299. Searching any of these in the dataset finder brings you back here.

Samples in this study

The sample list for this study is not cached yet. Press Sort into groups and it will be fetched from NCBI.

+ 14 more — browse all 14 samples with per-sample file links →

Similar datasets

Search all human RNA-seq datasets in GEO →

Share this dataset

Metadata from NCBI GEO, cached and refreshed periodically — the NCBI page above is authoritative. Downloads link straight to NCBI/ENA; nothing is proxied through BioTransfer.