The DOI matches its Crossref record; 6 of the 6 references it cites were found in a registry or an index.
Cancer stem cells: Radioresistance, prediction of radiotherapy outcome and specific targets for combined treatments
Open accessAbstract
Inactivation of cancer stem cells (CSCs) is of utmost importance for tumor cure after radiotherapy. An increasing body of evidence complies with a higher radioresistance of CSCs compared to the mass of tumor cells, supporting the use of CSC related biomarkers for prediction of radiotherapy outcome. Treatment individualization strategies for patient groups with vastly different risk of recurrence will most likely require application of more than one biomarker. Specifically, inclusion of established biomarkers like tumor size for primary radio(chemo)therapy or human papilloma virus (HPV) infection status in head and neck squamous cell carcinoma seems to be of very high relevance. The high heterogeneity of CSC subclones along with changes of the functional behavior of individual tumors under treatment underlines the importance of the selection of the optimal timepoint(s) of biomarker evaluation, but also provides a potential therapeutic target for combined treatment approaches with irradiation.
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
Cites
Radiotherapy Plus Concomitant and Adjuvant Temozolomide for Glioblastoma
Stupp, R., Mason, W. P., van den Bent, M. J., Weller, M., Fisher, B., Taphoorn, M. J. B., Belanger, K., Brandes, A. A., Marosi, C., Bogdahn, U., et al. (2005) · New England Journal of Medicine · doi:10.1056/nejmoa043330 · Cited by 21,807
Intratumor Heterogeneity and Branched Evolution Revealed by Multiregion Sequencing
Gerlinger, M., Rowan, A. J., Horswell, S., Larkin, J., Endesfelder, D., Gronroos, E., Martinez, P., Matthews, N., Stewart, A., Tarpey, P., et al. (2012) · New England Journal of Medicine · doi:10.1056/nejmoa1113205 · Cited by 7,774 · cited 1×
“spatially separated samples within primary tumors and their metastases, was not present in all investigated tumor regions [117].”
BackgroundROS function in redox signaling and oxidative stress
Schieber, M., & Chandel, N. S. (2014) · Current Biology · doi:10.1016/j.cub.2014.03.034 · Cited by 6,931
Targeting cancer cells by ROS-mediated mechanisms: a radical therapeutic approach?
Trachootham, D., Alexandre, J., & Huang, P. (2009) · Nature Reviews Drug Discovery · doi:10.1038/nrd2803 · Cited by 5,452
Association of reactive oxygen species levels and radioresistance in cancer stem cells
Diehn, M., Cho, R. W., Lobo, N. A., Kalisky, T., Dorie, M. J., Kulp, A. N., Qian, D., Lam, J. S., Ailles, L. E., Wong, M., et al. (2009) · Nature · doi:10.1038/nature07733 · Cited by 2,555
Eustace, A., Mani, N., Span, P. N., Irlam, J. J., Taylor, J., Betts, G. N. J., Denley, H., Miller, C. J., Homer, J. J., Rojas, A. M., et al. (2013) · Clinical Cancer Research · doi:10.1158/1078-0432.ccr-13-0542 · Cited by 240
Cited by
Zhou, J., Yu, G., & Huang, F. (2017) · Chemical Society Reviews · doi:10.1039/c6cs00898d · Cited by 677
Lee, S. Y., Jeong, E. K., Ju, M. K., Jeon, H. M., Kim, M. Y., Kim, C. H., Park, H. G., Han, S. I., & Kang, H. S. (2017) · Molecular Cancer · doi:10.1186/s12943-016-0577-4 · Cited by 578
Cancer Stem Cells and Radioresistance: DNA Repair and Beyond
Schulz, A., Meyer, F., Dubrovska, A., & Borgmann, K. (2019) · Cancers · doi:10.3390/cancers11060862 · Cited by 303
Self-citationThe Role of Nrf2 Activity in Cancer Development and Progression
Zimta, A.-A., Cenariu, D., Irimie, A., Magdo, L., Nabavi, S. M., Atanasov, A. G., & Berindan-Neagoe, I. (2019) · Cancers · doi:10.3390/cancers11111755 · Cited by 292
Nanoparticle Interactions with the Tumor Microenvironment
Huai, Y., Hossen, M. N., Wilhelm, S., Bhattacharya, R., & Mukherjee, P. (2019) · Bioconjugate Chemistry · doi:10.1021/acs.bioconjchem.9b00448 · Cited by 113
Metadata
- Authors
- Krause, M., Dubrovska, A., Linge, A., & Baumann, M.
- Venue
- Advanced Drug Delivery Reviews
- Publisher
- Elsevier BV
- Published
- 2017-01
- Volume
- 109
- Pages
- 63-73
- ISSN
- 0169-409X (ISSN-L)
- OpenAlex
- W2258673083
- Cited by
- 305
- References
- 6
- FWCI
- 4.42
- 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: Cancer stem cells: Radioresistance, prediction of radiotherapy outcome and specific targets for combined treatments. https://app.cochat.ai/papers/10.1016/j.addr.2016.02.002
- The paper
- Krause, M., Dubrovska, A., Linge, A., & Baumann, M. (2017). Cancer stem cells: Radioresistance, prediction of radiotherapy outcome and specific targets for combined treatments. Advanced Drug Delivery Reviews. https://doi.org/10.1016/j.addr.2016.02.002
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.
