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PIKfyve inhibition synergizes with Cisplatin to provoke antitumor immunogenicity in melanoma by alleviating lysosomal degradation of STING

GSE218241 Homo sapiens (human) RNA-seq (gene expression) 18 samples Submitted 2025/05/05 Platform GPL24676Platform GPL24247
At a glance

RNA-seq (gene expression) · human · 18 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
Homo sapiens (human)
Topic
MelanomaThis series is part of our curated briefing on it.
Samples
18 samples: 18 samples, each with a distinct title — no replicated groupsGroups are read from the sample names, not from the paper. Check the list below.
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)
Immune checkpoint blockade (ICB) has obtained significant progress in treating multiple types of cancers, but its overall response rate and therapeutic efficacies are not yet satisfactory. To fulfil such needs, identification of combinational approach to enhance the therapeutic efficacies of ICB is highly demanded. The activation of cyclic GMP-AMP synthase-stimulator of interferon genes (cGAS-STING) signaling is critical to elicit the antitumor innate immune responses and a promising target to develop combinational immunotherapy.
Read the full summary ↓
Accordingly, the application of STING agonist exhibits potent antitumor functions in preclinical models and is currently tested in clinical trials. However, deregulation of cGAS-STING is frequently observed in cancers and substantially attenuates the efficacies of treatments by harnessing cGAS-STING signaling. Hence, the underlying mechanisms of maintaining intracellular homeostasis of cGAS-STING need to be elucidated. Here we report the identification of PIKfyve as a negative regulator of cGAS-STING signaling. Inhibition of PIKfyve by kinase inhibitor YM201636 or genetic ablation markedly provokes the expression of cGAS-STING downstream IFN-stimulated genes (ISGs) and reschedules the antitumor microenvironment by recruiting CD8+ T lymphocytes. In melanoma models, PIKfyve inhibition confers sensitivity to the combinational therapy of cisplatin and anti-PD1, leading to a durable treatment response. Mechanistically, PIKfyve interacts with STING to promote its lysosomal degradation. These results highlight the importance of maintaining STING homeostasis as a direction to augment the efficacies of combinational immunotherapies
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 GSE218241_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 PRJNA902795 and SRA study SRP408467. Searching any of these in the dataset finder brings you back here.

Study design
18 samples, each with a distinct title — no replicated groups

Supports a case/control comparison: 6 samples read as cases, 3 as controls.

How we read this: Read from 18 sample titles: 18 distinct titles with little repetition. These groups are guessed from the sample names, not taken from the paper, so check them against the sample list below before relying on them.

Samples in this study
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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.