The DOI matches its Crossref record.
Cold plasma selectivity and the possibility of a paradigm shift in cancer therapy
Open accessAbstract
BACKGROUND: Plasma is an ionised gas that is typically generated in high-temperature laboratory conditions. However, recent progress in atmospheric plasmas has led to the creation of cold plasmas with ion temperature close to room temperature. METHODS: Both in-vitro and in-vivo studies revealed that cold plasmas selectively kill cancer cells. RESULTS: We show that: (a) cold plasma application selectively eradicates cancer cells in vitro without damaging normal cells; and (b) significantly reduces tumour size in vivo. It is shown that reactive oxygen species metabolism and oxidative stress responsive genes are deregulated. CONCLUSION: The development of cold plasma tumour ablation has the potential of shifting the current paradigm of cancer treatment and enabling the transformation of cancer treatment technologies by utilisation of another state of matter.
Overview
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Integrity signals
Registry
Cites
Statistics
Verification
Claims the paper makes
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
The self-check needs the paper’s full text.
Citations
Cited by
Skin cancer and new treatment perspectives: A review
Simões, M. C. F., Sousa, J. J. S., & Pais, A. A. C. C. (2015) · Cancer Letters · doi:10.1016/j.canlet.2014.11.001 · Cited by 414
Cold Plasma in Medicine and Healthcare: The New Frontier in Low Temperature Plasma Applications
Laroussi, M. (2020) · Frontiers in Physics · doi:10.3389/fphy.2020.00074 · Cited by 319
Health assessment of rice cultivated and harvested from plasma-irradiated seeds
Okumura, T., Tanaka, H., Nakao, T., Anan, T., Arita, R., Shiraki, M., Shiraki, K., Miyabe, T., Yamashita, D., Matsuo, K., et al. (2023) · Scientific Reports · doi:10.1038/s41598-023-43897-y · Cited by 16
Metadata
- Authors
- Keidar, M., Walk, R., Shashurin, A., Srinivasan, P., Sandler, A., Dasgupta, S., Ravi, R., Guerrero-Preston, R., & Trink, B.
- Venue
- British Journal of Cancer
- Published
- 2011-10
- Volume
- 105
- Issue
- 9
- Pages
- 1295-1301
- ISSN
- 0007-0920 (ISSN-L)
- 1532-1827
- OpenAlex
- W1978133924
- Cited by
- 767
- References
- 0
- FWCI
- 22.29
- Type
- journal article
- Language
- en
- Open access
- hybrid
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review
How to cite
Cite CoChat for the checks on this page, and the paper for its own findings.
- This page
- CoChat. (2026). Citation check: Cold plasma selectivity and the possibility of a paradigm shift in cancer therapy. https://app.cochat.ai/papers/10.1038/bjc.2011.386
- The paper
- Keidar, M., Walk, R., Shashurin, A., Srinivasan, P., Sandler, A., Dasgupta, S., Ravi, R., Guerrero-Preston, R., & Trink, B. (2011). Cold plasma selectivity and the possibility of a paradigm shift in cancer therapy. British Journal of Cancer. https://doi.org/10.1038/bjc.2011.386
Data sources
Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.
