The DOI matches its Crossref record; 8 of the 8 references it cites were found in a registry or an index.
Frequent mutations in chromatin-remodelling genes in pulmonary carcinoids
Open accessAbstract
Pulmonary carcinoids are rare neuroendocrine tumours of the lung. The molecular alterations underlying the pathogenesis of these tumours have not been systematically studied so far. Here we perform gene copy number analysis (n=54), genome/exome (n=44) and transcriptome (n=69) sequencing of pulmonary carcinoids and observe frequent mutations in chromatin-remodelling genes. Covalent histone modifiers and subunits of the SWI/SNF complex are mutated in 40 and 22.2% of the cases, respectively, with MEN1, PSIP1 and ARID1A being recurrently affected. In contrast to small-cell lung cancer and large-cell neuroendocrine lung tumours, TP53 and RB1 mutations are rare events, suggesting that pulmonary carcinoids are not early progenitor lesions of the highly aggressive lung neuroendocrine tumours but arise through independent cellular mechanisms. These data also suggest that inactivation of chromatin-remodelling genes is sufficient to drive transformation in pulmonary carcinoids. Pulmonary carcinoids account for about 2% of pulmonary neoplasms. Here, the authors carry out gene copy number analysis, genome/exome, and transcriptome sequencing of pulmonary carcinoids and identify frequent mutations in chromatin-remodelling genes that can drive tumorigenesis in these tumours.
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Subramanian, A., Tamayo, P., Mootha, V. K., Mukherjee, S., Ebert, B. L., Gillette, M. A., Paulovich, A., Pomeroy, S. L., Golub, T. R., Lander, E. S., et al. (2005) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.0506580102 · Cited by 53,625
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Lawrence, M. S., Stojanov, P., Polak, P., Kryukov, G. V., Cibulskis, K., Sivachenko, A., Carter, S. L., Stewart, C., Mermel, C. H., Roberts, S. A., et al. (2013) · Nature · doi:10.1038/nature12213 · Cited by 5,461
Comprehensive genomic characterization of squamous cell lung cancers
The Cancer Genome Atlas Research Network (2012) · Nature · doi:10.1038/nature11404 · Cited by 3,994
Massive genomic rearrangement acquired in a single catastrophic event during cancer development
Stephens, P. J., Greenman, C. D., Fu, B., Yang, F., Bignell, G. R., Mudie, L. J., Pleasance, E. D., Lau, K. W., Beare, D., Stebbings, L. A., et al. (2011) · Cell · doi:10.1016/j.cell.2010.11.055 · Cited by 2,414
Monti, S., Tamayo, P., Mesirov, J., & Golub, T. (2003) · Machine Learning · doi:10.1023/a:1023949509487 · Cited by 2,116
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Kagey, M. H., Newman, J. J., Bilodeau, S., Zhan, Y., Orlando, D. A., van Berkum, N. L., Ebmeier, C. C., Goossens, J., Rahl, P. B., Levine, S. S., et al. (2010) · Nature · doi:10.1038/nature09380 · Cited by 1,939
Fast and SNP-tolerant detection of complex variants and splicing in short reads
Wu, T. D., & Nacu, S. (2010) · Bioinformatics · doi:10.1093/bioinformatics/btq057 · Cited by 1,894
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Imielinski, M., Berger, A. H., Hammerman, P. S., Hernandez, B., Pugh, T. J., Hodis, E., Cho, J., Suh, J., Capelletti, M., Sivachenko, A., et al. (2012) · Cell · doi:10.1016/j.cell.2012.08.029 · Cited by 1,789
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Rindi, G., Klimstra, D. S., Abedi-Ardekani, B., Asa, S. L., Bosman, F. T., Brambilla, E., Busam, K. J., de Krijger, R. R., Dietel, M., El-Naggar, A. K., et al. (2018) · Modern Pathology · doi:10.1038/s41379-018-0110-y · Cited by 1,163
Self-citationScientific Advances in Lung Cancer 2015
Tsao, A. S., Scagliotti, G. V., Bunn, P. A., Carbone, D. P., Warren, G. W., Bai, C., de Koning, H. J., Yousaf-Khan, A. U., McWilliams, A., Tsao, M. S., et al. (2016) · Journal of Thoracic Oncology · doi:10.1016/j.jtho.2016.03.012 · Cited by 284
Development of small-molecule tropomyosin receptor kinase (TRK) inhibitors for NTRK fusion cancers
Jiang, T., Wang, G., Liu, Y., Feng, L., Wang, M., Liu, J., Chen, Y., & Ouyang, L. (2021) · Acta Pharmaceutica Sinica B · doi:10.1016/j.apsb.2020.05.004 · Cited by 157
von Arx, C., Capozzi, M., López-Jiménez, E., Ottaiano, A., Tatangelo, F., Di Mauro, A., Nasti, G., Tornesello, M. L., & Tafuto, S. (2019) · Journal of Clinical Medicine · doi:10.3390/jcm8091277 · Cited by 24
Metadata
- Authors
- Fernandez-Cuesta, L., Peifer, M., Lu, X., Sun, R., Ozretić, L., Seidel, D., Zander, T., Leenders, F., George, J., Müller, C., Dahmen, I., Pinther, B., Bosco, G., Konrad, K., Altmüller, J., Nürnberg, P., Achter, V., Lang, U., Schneider, P. M., Bogus, M., Soltermann, A., Brustugun, O. T., Helland, Å., Solberg, S., Lund-Iversen, M., Ansén, S., Stoelben, E., Wright, G. M., Russell, P., Wainer, Z., Solomon, B., Field, J. K., Hyde, R., Davies, M. P. A., Heukamp, L. C., Petersen, I., Perner, S., Lovly, C. M., Cappuzzo, F., Travis, W. D., Wolf, J., Vingron, M., Brambilla, E., Haas, S. A., Buettner, R., & Thomas, R. K.
- Venue
- Nature Communications
- Published
- 2014-03-27
- Volume
- 5
- Issue
- 1
- Pages
- 3518-3518
- ISSN
- 2041-1723 (ISSN-L)
- OpenAlex
- W2143827882
- Cited by
- 317
- References
- 8
- FWCI
- 10.59
- Type
- journal article
- Language
- en
- Open access
- bronze
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- CoChat. (2026). Citation check: Frequent mutations in chromatin-remodelling genes in pulmonary carcinoids. https://app.cochat.ai/papers/10.1038/ncomms4518
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- Fernandez-Cuesta, L., Peifer, M., Lu, X., Sun, R., Ozretić, L., Seidel, D., Zander, T., Leenders, F., George, J., Müller, C., Dahmen, I., Pinther, B., Bosco, G., Konrad, K., Altmüller, J., Nürnberg, P., Achter, V., Lang, U., Schneider, P. M., . . . Thomas, R. K. (2014). Frequent mutations in chromatin-remodelling genes in pulmonary carcinoids. Nature Communications. https://doi.org/10.1038/ncomms4518
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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.
