← BioTransfer GEO Dataset Finder
GEO series

Cell-intrinsic PD-L1 signaling drives immunosuppression by myeloid-derived suppressor cells through IL-6/Jak/Stat3 in PD-L1-high lung cance

GSE285029 Homo sapiens (human) RNA-seq (gene expression) 234 samples Submitted 2025/01/06 Platform GPL16791
At a glance

RNA-seq (gene expression) · human · 234 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
Lung cancerThis series is part of our curated briefing on it.
Samples
234 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.
Paper
Cell-intrinsic PD-L1 signaling drives immunosuppression by myeloid-derived suppressor cells through IL-6/Jak/Stat3 in PD-L1-high lung cancerJournal for immunotherapy of cancer · 2025
Summary (written by the submitters)
Background: The tumor cell-intrinsic function of programmed cell death-ligand 1 (PD-L1) is poorly understood. The roles of the intrinsic function of PD-L1 in interleukin (IL)-6-mediated immunosuppression and the response to immune checkpoint inhibitors (ICIs) in non-small cell lung cancer (NSCLC) were investigated. Methods: Cohorts of NSCLC patients treated with ICI and public datasets were analyzed.
Read the full summary ↓
PD-L1-overexpressing and PD-L1-knockdown NSCLC cells were submitted to RNA-seq, in vitro analyses, ChIP-qPCR, CUT&Tag, and biochemical assays. Human myeloid-derived suppressor cells (MDSCs) sorted from peripheral blood mononuclear cells were co-cultured with NSCLC cells, and then assessed for their immunosuppressive activity on T-cells. Mouse Lewis lung carcinoma (LLC) cells with PD-L1 overexpression/or knockdown were subcutaneously injected into wild-type or PD-1-knockout C57BL/6 mice in the presence of IL-6 and/or PD-1 blockade. Results: In the ICI cohort with RNA-seq data, the IL-6/Jak/Stat3 pathway was enriched and IL-6 expression was higher in patients with no response to ICI in PD-L1-high NSCLCs. IL-6 expression in PD-L1-high NSCLCs correlated positively with MDSCs and Tregs, but negatively with cytotoxic lymphocytes. In another ICI cohort, a higher baseline serum IL-6 level was associated with poor clinical outcome after ICI therapy. PD-L1 activated Jak2/Stat3 signaling by binding to and inhibiting tyrosine phosphatase PTP1B. PD-L1 also bound to p-Stat3 in the nucleus, thus promoting the activity of p-Stat3 on the transcription of several cytokines (IL-6, TGFβ, TNFα, IL-1β) and chemokines (CXCL1, CXCL3, CXCL8). PD-L1-overexpressing NSCLC cells enhanced the migration and immunosuppressive activity of human MDSC in vitro, mediated by IL-6 and CXCL1. In both wild-type and PD-1-knockout mice, PD-L1-overexpressing mouse lung tumors were heavily infiltrated by MDSCs with high immunosuppressive function. Treg numbers were increased while the numbers of granzyme B+ or IFNγ+ CD8 T-cells decreased. These responses were shown to be mediated by IL-6 secreted from PD-L1-overexpressing tumor cells. Combined blockade of PD-1 and IL-6 was effective in tumor control and decreased MDSCs while increasing granzyme B+ or IFNγ+ CD8 T-cells. Conclusions: The tumor-cell-intrinsic function of PD-L1 contributes to immunosuppression and tumor progression by MDSCs through the IL-6/Jak/Stat3 pathway, which may serve as therapeutic target to improve ICI efficacy in patients with PD-L1-high NSCLC.
Published in
Cell-intrinsic PD-L1 signaling drives immunosuppression by myeloid-derived suppressor cells through IL-6/Jak/Stat3 in PD-L1-high lung cancer
Jeong H, Koh J, Kim S et al. · Journal for immunotherapy of cancer 2025 · PMID 40050048 · doi:10.1136/jitc-2024-010612
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 GSE285029_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 PRJNA1201071. 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 Load samples and it will be fetched from NCBI.

+ 234 more — browse all 234 samples with per-sample file links →

More Lung cancer 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.