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Neutrophils recruited by NKX2-1 suppression via activation of CXCLs/CXCR2 axis promote lung adenocarcinoma progression

GSE270431 Homo sapiens (human) ChIP-seq / ATAC-seq (genome binding and open chromatin) 12 samples Submitted 2025/06/06 Platform GPL16791Platform GPL34284Platform GPL34290
At a glance

ChIP-seq / ATAC-seq (genome binding and open chromatin) · human · 12 samples

What it is
ChIP-seq / ATAC-seq (genome binding and open chromatin)Where proteins bind the genome, or which regions are open and active.
Organism
Homo sapiens (human)
Topic
Lung cancerThis series is part of our curated briefing on it.
Samples
12 samples: 11 distinct titles, 1 of them repeatedGroups 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
Neutrophils Recruited by NKX2-1 Suppression via Activation of CXCLs/CXCR2 Axis Promote Lung Adenocarcinoma ProgressionAdvanced science (Weinheim, Baden-Wurttemberg, Germany) · 2024
Summary (written by the submitters)
Background: Lung adenocarcinoma (LUAD) progression is dependent on the immune tumor microenvironment through paracrine signaling. Lineage-specific transcription NKX2-1 is a well-developed pathology marker to define LUAD with progressive impact in patients. However, the involvement of NKX2-1 in modeling the tumor immune microenvironment is still unclear.
Read the full summary ↓
Here, we demonstrated that NKX2-1-low tumors expedite tumor progression in LUAD through increased tumor-promoting neutrophils. Method: Single-cell RNA sequencing and Visium in situ capturing profiling were used to characterize the infiltration of neutrophils in NKX2-1-low LUAD tumors at high resolution. Clinical relevance of NKX2-1 expression and disease status were evaluated by immunohistochemical analysis of LUAD tissue arrays and the overall survival analysis was performed by TCGA databases. qRT-PCR validated the level of CXC chemokines, and proinflammatory genes in LUAD cells, meanwhile chemokine array confirmed the secretion of chemokines. Mechanistically, ATAC-seq was used to confirm the modulatory role of NKX2-1 on the chromatin accessibility of CXC chemokine genes. Results: NKX2-1 downregulation was observed in high-grade LUAD with increased neutrophil recruitment and infiltration. NKX2-1 knockdown promoted the expression and secretion of CXCL1, CXCL2, CXCL3, and CXCL5 in LUAD cells. Mechanistically, ATAC-seq revealed the restrictive regulation of NKX2-1 on the promoters of CXCL1, CXCL2 and CXCL5. Single-cell RNA sequencing and Visium in situ capturing revealed the infiltrated neutrophil had strong cell-cell communication through the activation of CXCLs/CXCR2 signaling with increased tumor growth and vice versa when inhibited with CXCR2 antagonist SB225002. Conclusion: This study revealed that NKX2-1 negatively regulates the infiltration of tumor-promoting neutrophils by suppressing CXCLs/CXCR2-dependent mechanisms. Hence, targeting CXCR2 in NKX2-1-low tumors is a potential antitumor therapy that improves LUAD patient outcomes.
Published in
Neutrophils Recruited by NKX2-1 Suppression via Activation of CXCLs/CXCR2 Axis Promote Lung Adenocarcinoma Progression
La'ah AS, Tsai PH, Yarmishyn AA et al. · Advanced science (Weinheim, Baden-Wurttemberg, Germany) 2024 · PMID 39113226 · doi:10.1002/advs.202400370
This dataset
Open GSE270431 in finder → Find more RNA-seq datasets → Lung cancer landscape →
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 GSE270431_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: Look for peak files (.bed, .narrowPeak) and signal tracks (.bigWig) among the supplementary files; the raw reads are on ENA.

Also filed as BioProject PRJNA1126625 and SRA study SRP515229. Searching any of these in the dataset finder brings you back here.

NCBI GEO page ↗ Paper (PMID 39113226) ↗
Study design
11 distinct titles, 1 of them repeated
HL60-coculture-shNKX2-1 ×2

How we read this: Read from 12 sample titles: 11 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
More Lung cancer datasets

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