ArticleCell death discovery2025
The transcriptomic fingerprint of cancer response to Tumor Treating Fields (TTFields).
Article in Cell death discovery, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
5 citing papers in PubMed.
- Tumor Treating Fields Enhance Temozolomide-Associated Growth Suppression in Glioblastoma Cells and Patient-Derived Organoids Through Cell-Cycle Blockade, Apoptosis, and SMAD-Associated Signaling.CNS neuroscience & therapeutics · 2026Article
- Efficacy and immunogenic effects of Tumor Treating Fields (TTFields) in preclinical models of pancreatic ductal adenocarcinoma, with and without gemcitabine/nab-paclitaxel.International journal of cancer · 2026Article
- Intensity- and time-dependent anticancer effects of alternating electric fields in non-small cell lung cancer cell lines.Oncology letters · 2026Article
- Tumor Treating Fields (TTFields), and their concomitant application with FOLFOX, are effective for the treatment of gastric cancer cells.Frontiers in oncology · 2026Article
- Selective antitumor activity of Tumor Treating Fields (TTFields) involving molecular factors in cancer cells and tumor microenvironment.Translational oncology · 2025Review
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
21 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Tumor Treating Fields (TTFields) therapy is an approved cancer treatment modality, based on non-invasive application of electric fields to the tumor region. Proteomic and cell biology methods revealed a versatile mechanism of action to be involved in the response to TTFields. In the current research we performed whole transcriptome analysis across tumor types to identify pan-cancer responses to TTFields. For this we collected samples from control and TTFields-treated human cancer cell lines of gastric cancer, pancreatic cancer, ovarian cancer, non-small cell lung carcinoma, pleural mesothelioma, and glioblastoma. The transcriptomic analysis supported previous reported effects: downregulation of pathways associated with cell cycle, cell growth, and proliferation; downregulation of DNA replication and the FA-BRCA DNA repair pathway; and upregulation of cellular responses to stress-senescence, autophagy, and apoptosis. Notably, previously unrecognized downstream effects of TTFields were revealed on cellular metabolism, with downregulation of protein and RNA metabolism, and upregulation of steroid biosynthesis. Additional DNA repair pathways were also found to be downregulated, including nucleotide excision repair, base excision repair, and mismatch repair. In conclusion, this study revealed similar response patterns to TTFields across different tumor types, re-enforcing some already pinpointed mechanisms, while revealing new mechanisms. Unlocking these new mechanisms may allow identification of potential new cancer treatments for application together with TTFields based on mechanistical compatibility.
Identifiers
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.