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Chronic Stress Stimulates Protumor Macrophage Polarization to Propel Lung Cancer Progression

GSE287196 Homo sapiens (human) RNA-seq (gene expression) 15 samples Submitted 2025/03/26 Platform GPL24676
At a glance

RNA-seq (gene expression) · human · 15 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
15 samples: 5 × A549 xenograft, without stress, vs 5 × A549 xenograft, with stress, vs 5 × A549 xenograft, with post-stress,Groups 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
Chronic Stress Stimulates Protumor Macrophage Polarization to Propel Lung Cancer ProgressionCancer research · 2025
Summary (written by the submitters)
Chronic psychological stress is closely linked to malignant disorders, with novel modulators potentially mitigating tumor progression by regulating interactions between neoplastic cells and immune cells. This study identified lncRNA HIF1A-AS3 as a key driver of stress-induced lung cancer progression. Chronic stress models in mice with implanted lung cancer cells revealed significant upregulation of HIF1A-AS3 in stressed groups and human lung cancer tissues.
Read the full summary ↓
Functional studies showed HIF1A-AS3 promotes cancer cell proliferation and invasion by activating HIF-1ɑ translation through interaction with YBX1, forming a positive feedback loop where HIF-1ɑ enhances HIF1A-AS3 transcription. Additionally, HIF1A-AS3 drove macrophage M2 polarization and reduced phagocytosis under hypoxia. Targeting the HIF1A-AS3/HIF-1ɑ loop effectively counteracted stress-induced lung cancer progression in vivo, highlighting its potential as a diagnostic and therapeutic target for stress-exacerbated lung cancer.
Published in
Chronic Stress Stimulates Protumor Macrophage Polarization to Propel Lung Cancer Progression
Liu C, Du H, Yu G et al. · Cancer research 2025 · PMID 40202818 · doi:10.1158/0008-5472.CAN-24-3481
This dataset
Open GSE287196 in finder → Find more human 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 GSE287196_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 PRJNA1211583 and SRA study SRP557871. Searching any of these in the dataset finder brings you back here.

NCBI GEO page ↗ Paper (PMID 40202818) ↗
Study design
5 × A549 xenograft, without stress, vs 5 × A549 xenograft, with stress, vs 5 × A549 xenograft, with post-stress,

Supports a between-group comparison across 15 samples.

How we read this: 3 replicated groups read from 15 sample titles; they account for 15 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
More Lung cancer datasets

Search all human RNA-seq datasets in GEO →

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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.