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A positive feedback loop between BACH1 and IL-1β promotes the progression of HPV-negative head and neck squamous cell carcinoma

GSE325366 Homo sapiens (human) RNA-seq (gene expression) 12 samples Submitted 2026/07/22 Platform GPL24676
At a glance

RNA-seq (gene expression) · human · 12 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
Head and neck cancerThis series is part of our curated briefing on it.
Samples
12 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
A positive feedback loop between BACH1 and IL-1β promotes the progression of HPV-negative head and neck squamous cell carcinomaCell communication and signaling : CCS · 2026
Summary (written by the submitters)
Human papillomavirus (HPV)-negative head and neck squamous cell carcinoma (HNSCC) is associated with a poorer prognosis compared to its HPV-positive counterpart; however, the underlying regulatory molecular mechanisms driving its progression remain poorly understood. In this study, we identify BTB Domain and CNC Homolog 1 (BACH1) as a critical oncogenic regulator that is upregulated in HPV-negative HNSCC.
Read the full summary ↓
We demonstrate that BACH1 promotes tumor progression by enhancing the proliferation and inhibiting apoptosis of cancer cells. Mechanistically, BACH1 is associated with the SWI/SNF chromatin remodeling complex and transcriptionally activates downstream target genes, including IL1B, thereby inducing a transcriptional reprogramming that promotes proliferation and resists apoptosis. Notably, BACH1-driven upregulation of interleukin-1β (IL-1β) establishes a positive feedback loop that sustains oncogenic signaling. Pharmacological disruption of this axis using the IL-1 receptor antagonist Anakinra significantly attenuates tumor growth in vitro and in vivo. Clinically, co-upregulation of BACH1, BRG1, and IL-1β is correlated with reduced overall survival in patients with HPV-negative HNSCC. Collectively, our findings characterize the BACH1–IL-1β signaling axis as a prognostic biomarker and highlight IL-1R blockade as a promising therapeutic strategy for the treatment of HPV-negative HNSCC.
Published in
A positive feedback loop between BACH1 and IL-1β promotes the progression of HPV-negative head and neck squamous cell carcinoma
Zhang Z, Wang M, Wang W et al. · Cell communication and signaling : CCS 2026 · PMID 42178570 · doi:10.1186/s12964-026-02957-2
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 GSE325366_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 PRJNA1439794 and SRA study SRP685083. Searching any of these in the dataset finder brings you back here.

Samples in this study

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+ 12 more — browse all 12 samples with per-sample file links →

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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.