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Non-Temperature-Induced Antitumor Effects of Amplitude-Modulated Radiofrequency: Molecular and Functional Synergies with Radiotherapy

GSE329984 Homo sapiens (human) RNA-seq (gene expression) 108 samples Submitted 2026/06/03 Platform GPL28038
At a glance

RNA-seq (gene expression) · human · 108 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)
Samples
108 samples: 36 conditions, mostly in triplicateGroups 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
Non-Temperature-Induced Antitumor Effects of Amplitude-Modulated Radiofrequency: Molecular and Functional Synergies with RadiotherapyCancers · 2026
Summary (written by the submitters)
Background/Objectives: Amplitude-modulated radiofrequency (AMRF) fields have emerged as promising non-thermal strategies in oncology. While conventional hyper- thermia (HT) relies on thermal stress, the biological impact of AMRF, particularly in combination with radiotherapy (RT), remains insufficiently characterized. Methods: We assessed RF and AMRF, alone or with RT, using phenotypic analyses of proliferation, apop- tosis, and necrosis across four cancer cell lines (HT29, SW620, U343, U138).
Read the full summary ↓
Transcriptomic profiling with Kyoto Encyclopedia of Genes and Genomes (KEGG), GO:BP and Reactome enrichment was performed in SW620 and U138 cells, selected for their strong phenotypic responses. Results: AMRF generally triggered broader cytotoxic effects than RF or HT, with AMRF+RT exhibiting the strongest necrotic responses. In SW620 cells, AMRF induced extensive transcriptional reprogramming involving immune modulation, extracellular matrix remodeling, and cell cycle regulation, whereas RF alone exhibited narrower and delayed effects. In contrast, U138 cells showed elevated apoptosis and necrosis but limited transcriptional changes, suggesting post-transcriptional or metabolic mechanisms rather than large-scale gene regulation. Conclusions: AMRF and AMRF+RT emerge as promising non-thermal anticancer modalities, expanding the biological impact of RF-based treatments and setting the grounds for further investigation in mechanistic and translational studies.
Published in
Non-Temperature-Induced Antitumor Effects of Amplitude-Modulated Radiofrequency: Molecular and Functional Synergies with Radiotherapy
Veltsista PD, Walther W, Torke S et al. · Cancers 2026 · PMID 42192973 · doi:10.3390/cancers18101613
This dataset
Open GSE329984 in finder → Find more human RNA-seq datasets →
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 GSE329984_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 PRJNA1462325 and SRA study SRP697716. Searching any of these in the dataset finder brings you back here.

NCBI GEO page ↗ Paper (PMID 42192973) ↗
Study design
36 conditions, mostly in triplicate
SW620 37C water bath 0h ×3 SW620 37C water bath 24h ×3 SW620 37C water bath plus RT 0h ×3 SW620 37C water bath plus RT 24h ×3 SW620 42C water bath 0h ×3 SW620 42C water bath 24h ×3 SW620 42C water bath plus RT 0h ×3 SW620 42C water bath plus RT 24h ×3 +28 more

Supports a between-group comparison across 108 samples.

How we read this: 36 replicated groups read from 108 sample titles; they account for 108 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

+ 68 more — browse all 108 samples with per-sample file links →

Datasets on a similar topic

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