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Targeting PI3Kgamma dependency in leukemia treatment [PI3Kgamma inhibition]

GSE243654 Homo sapiens (human) RNA-seq (gene expression) 18 samples Submitted 2024/03/18 Platform GPL24676
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)
Samples
18 samples: 6 conditions, mostly in duplicateGroups 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.
Paper
Targetable leukaemia dependency on noncanonical PI3Kγ signallingNature · 2024
Summary (written by the submitters)
Phosphoinositide 3-kinase gamma (PI3Kγ) is implicated as a target to repolarize tumor-associated macrophages and promote anti-tumor immune responses in solid cancers. However, cancer cell-intrinsic roles of PI3Kγ are unclear. Here, by integrating unbiased genome-wide CRISPR interference screening with functional analyses across acute leukemias, we define a selective dependency on the PI3Kγ complex in a high-risk subset that includes myeloid, lymphoid, and dendritic lineages.
Read the full summary ↓
This dependency is characterized by innate inflammatory signaling and elevation of PIK3R5, which encodes a regulatory subunit of PI3Kγ that we find stabilizes the active enzymatic complex when overexpressed. Mechanistically, we identify PAK1 as a noncanonical substrate of PI3Kγ that mediates this cell-intrinsic dependency independently of AKT. PI3Kγ inhibition dephosphorylates PAK1, activates a transcriptional network of NFκB-related tumor suppressor genes, and impairs mitochondrial oxidative phosphorylation. We find that treatment with the selective PI3Kγ inhibitor eganelisib is effective in leukemias with activated PIK3R5, either at baseline or by exogenous inflammatory stimulation. Notably, the combination of eganelisib and cytarabine prolongs survival over either agent alone, even in patient-derived leukemia xenografts with low baseline PIK3R5 expression, as residual leukemia cells after cytarabine treatment have elevated G protein-coupled purinergic receptor activity and PAK1 phosphorylation. Taken together, our study reveals acute leukemia dependency on a noncanonical PI3Kγ signaling pathway amenable to near-term evaluation in patients using inhibitors already in clinical development.
Published in
Targetable leukaemia dependency on noncanonical PI3Kγ signalling
Luo Q, Raulston EG, Prado MA et al. · Nature 2024 · PMID 38720074 · doi:10.1038/s41586-024-07410-3
This dataset
Open GSE243654 in finder → Find more human RNA-seq datasets →
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.

Series matrix ↓
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 GSE243654_RAW.tar (it can run to tens of gigabytes).

All supplementary files ↗ Whole study · RAW.tar ↓
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.

Raw reads on ENA ↗

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 PRJNA1019338 and SRA study SRP463098. Searching any of these in the dataset finder brings you back here.

NCBI GEO page ↗ Paper (PMID 38720074) ↗
Study design
6 conditions, mostly in duplicate
PIK3R5i#1 ×5 PIK3R5i#2 ×5 NTC#1 ×2 NTC#2 ×2 NTC#1+PI3Kγi ×2 NTC#2+PI3Kγi ×2

Supports a between-group comparison across 18 samples.

How we read this: 6 replicated groups read from 18 sample titles; they account for 18 of them. 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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