GEO series

Mycoplasma infection drives EGFR-TKI resistance through convergent transcriptomic reprogramming in non-small cell lung cancer

GSE314455 Homo sapiens (human) RNA-seq (gene expression) 8 samples Submitted 2026/07/09 Platform GPL18573

At a glance

RNA-seq (gene expression) · human · 8 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: 8 samples: 2 × H1975 mycoplasma-negative vs 2 × H1975 mycoplasma-positive vs 2 × PC9 mycoplasma-negative vs 2 × PC9 mycoplasma-positiveGroups 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.

Summary (written by the submitters)

Epidermal growth factor receptor (EGFR) mutations are an oncogenic driver in non-small cell lung cancer (NSCLC), but resistance to EGFR tyrosine kinase inhibitors (TKIs) remains a major challenge. Here, we show that mycoplasma infection sustains ERK, AKT, and NF-κB signaling, impairs receptor internalization, and reduces osimertinib sensitivity in EGFR-mutant NSCLC cells.

Read the full summary ↓

Antibiotic-mediated clearance of Mycoplasma partially restored drug sensitivity, establishing a causal infection-resistance link. Transcriptomic analysis identified converging pathways related to mycoplasma infection and drug resistance, including gene sets enriched for inhibition of receptor internalization and clathrin downregulation at the protein level. Combined inhibition of mTOR and LDHA improved growth suppression in mycoplasma-positive cells. Clinically, mycoplasma infection and higher LDHA expression were associated with poor overall survival of EGFR-TKI-treated patients. These findings establish mycoplasma infection as a causal, non-genetic contributor to EGFR-TKI resistance and support a hierarchical therapeutic strategy combining antibiotic eradication with mTOR and LDHA inhibition.

This dataset

Open GSE314455 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 GSE314455_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 PRJNA1391349 and SRA study SRP656685. Searching any of these in the dataset finder brings you back here.

NCBI GEO page ↗

Study design

2 × H1975 mycoplasma-negative vs 2 × H1975 mycoplasma-positive vs 2 × PC9 mycoplasma-negative vs 2 × PC9 mycoplasma-positive

Supports a between-group comparison across 8 samples.

How we read this: 4 replicated groups read from 8 sample titles; they account for 8 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

GSM9396601 H1975 mycoplasma-negative rep 1 H1975 mycoplasma-negati…
GSM9396602 H1975 mycoplasma-negative rep 2 H1975 mycoplasma-negati…
GSM9396603 H1975 mycoplasma-positive rep 1 H1975 mycoplasma-positi…
GSM9396604 H1975 mycoplasma-positive rep 2 H1975 mycoplasma-positi…
GSM9396605 PC9 mycoplasma-negative rep 1 PC9 mycoplasma-negative
GSM9396606 PC9 mycoplasma-negative rep 2 PC9 mycoplasma-negative
GSM9396607 PC9 mycoplasma-positive rep 1 PC9 mycoplasma-positive
GSM9396608 PC9 mycoplasma-positive rep 2 PC9 mycoplasma-positive

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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.