The DOI matches its Crossref record; 11 of the 11 references it cites were found in a registry or an index.
Small-cell lung cancer
Open accessAbstract
Small-cell lung cancer (SCLC) represents about 15% of all lung cancers and is marked by an exceptionally high proliferative rate, strong predilection for early metastasis and poor prognosis. SCLC is strongly associated with exposure to tobacco carcinogens. Most patients have metastatic disease at diagnosis, with only one-third having earlier-stage disease that is amenable to potentially curative multimodality therapy. Genomic profiling of SCLC reveals extensive chromosomal rearrangements and a high mutation burden, almost always including functional inactivation of the tumour suppressor genes TP53 and RB1 . Analyses of both human SCLC and murine models have defined subtypes of disease based on the relative expression of dominant transcriptional regulators and have also revealed substantial intratumoural heterogeneity. Aspects of this heterogeneity have been implicated in tumour evolution, metastasis and acquired therapeutic resistance. Although clinical progress in SCLC treatment has been notoriously slow, a better understanding of the biology of disease has uncovered novel vulnerabilities that might be amenable to targeted therapeutic approaches. The recent introduction of immune checkpoint blockade into the treatment of patients with SCLC is offering new hope, with a small subset of patients deriving prolonged benefit. Strategies to direct targeted therapies to those patients who are most likely to respond and to extend the durable benefit of effective antitumour immunity to a greater fraction of patients are urgently needed and are now being actively explored. Small-cell lung cancer is a rapidly proliferating cancer with a poor prognosis and is strongly associated with exposure to tobacco carcinogens. This Primer describes the epidemiology, pathogenesis and diagnosis of the disease as well as the current management approaches and new therapies that might improve outcomes.
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
Bray, F., Ferlay, J., Soerjomataram, I., Siegel, R. L., Torre, L. A., & Jemal, A. (2018) · CA: A Cancer Journal for Clinicians · doi:10.3322/caac.21492 · Cited by 84,109
Reduced Lung-Cancer Mortality with Low-Dose Computed Tomographic Screening
The National Lung Screening Trial Research Team (2011) · New England Journal of Medicine · doi:10.1056/nejmoa1102873 · Cited by 11,064
Reduced Lung-Cancer Mortality with Volume CT Screening in a Randomized Trial
de Koning, H. J., van der Aalst, C. M., de Jong, P. A., Scholten, E. T., Nackaerts, K., Heuvelmans, M. A., Lammers, J.-W. J., Weenink, C., Yousaf-Khan, U., Horeweg, N., et al. (2020) · New England Journal of Medicine · doi:10.1056/nejmoa1911793 · Cited by 3,624
Paz-Ares, L., Dvorkin, M., Chen, Y., Reinmuth, N., Hotta, K., Trukhin, D., Statsenko, G., Hochmair, M. J., Özgüroğlu, M., Ji, J. H., et al. (2019) · The Lancet · doi:10.1016/s0140-6736(19)32222-6 · Cited by 2,298
Antonia, S. J., López-Martin, J. A., Bendell, J., Ott, P. A., Taylor, M., Eder, J. P., Jäger, D., Pietanza, M. C., Le, D. T., de Braud, F., et al. (2016) · The Lancet Oncology · doi:10.1016/s1470-2045(16)30098-5 · Cited by 1,244
Sen, T., Rodriguez, B. L., Chen, L., Corte, C. M. D., Morikawa, N., Fujimoto, J., Cristea, S., Nguyen, T., Diao, L., Li, L., et al. (2019) · Cancer Discovery · doi:10.1158/2159-8290.cd-18-1020 · Cited by 902
Self-citationRudin, C. M., Awad, M. M., Navarro, A., Gottfried, M., Peters, S., Csőszi, T., Cheema, P. K., Rodriguez-Abreu, D., Wollner, M., Yang, J. C.-H., et al. (2020) · Journal of Clinical Oncology · doi:10.1200/jco.20.00793 · Cited by 760
Self-citationRB loss in resistant EGFR mutant lung adenocarcinomas that transform to small-cell lung cancer
Niederst, M. J., Sequist, L. V., Poirier, J. T., Mermel, C. H., Lockerman, E. L., Garcia, A. R., Katayama, R., Costa, C., Ross, K. N., Moran, T., et al. (2015) · Nature Communications · doi:10.1038/ncomms7377 · Cited by 647
Self-citationMeuwissen, R., Linn, S. C., Linnoila, R. I., Zevenhoven, J., Mooi, W. J., & Berns, A. (2003) · Cancer Cell · doi:10.1016/s1535-6108(03)00220-4 · Cited by 643
Sutherland, K. D., Proost, N., Brouns, I., Adriaensen, D., Song, J.-Y., & Berns, A. (2011) · Cancer Cell · doi:10.1016/j.ccr.2011.04.019 · Cited by 534
Cited by
Cheng, Y., Han, L., Wu, L., Chen, J., Sun, H., Wen, G., Ji, Y., Dvorkin, M., Shi, J., Pan, Z., et al. (2022) · JAMA · doi:10.1001/jama.2022.16464 · Cited by 492
Small Cell Lung Cancer, Version 2.2022, NCCN Clinical Practice Guidelines in Oncology
Ganti, A. K. P., Loo, B. W., Bassetti, M., Blakely, C., Chiang, A., D'Amico, T. A., D'Avella, C., Dowlati, A., Downey, R. J., Edelman, M., et al. (2021) · Journal of the National Comprehensive Cancer Network · doi:10.6004/jnccn.2021.0058 · Cited by 486
Chan, J. M., Quintanal-Villalonga, Á., Gao, V. R., Xie, Y., Allaj, V., Chaudhary, O., Masilionis, I., Egger, J., Chow, A., Walle, T., et al. (2021) · Cancer Cell · doi:10.1016/j.ccell.2021.09.008 · Cited by 434
Self-citationMegyesfalvi, Z., Gay, C. M., Popper, H., Pirker, R., Ostoros, G., Heeke, S., Lang, C., Hoetzenecker, K., Schwendenwein, A., Boettiger, K., et al. (2023) · CA: A Cancer Journal for Clinicians · doi:10.3322/caac.21785 · Cited by 369
Circulating Tumor DNA—A Novel Biomarker of Tumor Progression and Its Favorable Detection Techniques
Wen, X., Pu, H., Liu, Q., Guo, Z., & Luo, D. (2022) · Cancers · doi:10.3390/cancers14246025 · Cited by 99
Metadata
- Authors
- Rudin, C. M., Brambilla, E., Faivre-Finn, C., & Sage, J.
- Venue
- Nature Reviews Disease Primers
- Published
- 2021-01-14
- Volume
- 7
- Issue
- 1
- Pages
- 3-3
- ISSN
- 2056-676X (ISSN-L)
- OpenAlex
- W3121328438
- Cited by
- 1,570
- References
- 11
- FWCI
- 35.70
- Type
- journal article
- Language
- en
- Open access
- green
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: Small-cell lung cancer. https://app.cochat.ai/papers/10.1038/s41572-020-00235-0
- The paper
- Rudin, C. M., Brambilla, E., Faivre-Finn, C., & Sage, J. (2021). Small-cell lung cancer. Nature Reviews Disease Primers. https://doi.org/10.1038/s41572-020-00235-0
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.