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Comprehensive genomic profiles of small cell lung cancer
Open accessAbstract
We have sequenced the genomes of 110 small cell lung cancers (SCLC), one of the deadliest human cancers. In nearly all the tumours analysed we found bi-allelic inactivation of TP53 and RB1, sometimes by complex genomic rearrangements. Two tumours with wild-type RB1 had evidence of chromothripsis leading to overexpression of cyclin D1 (encoded by the CCND1 gene), revealing an alternative mechanism of Rb1 deregulation. Thus, loss of the tumour suppressors TP53 and RB1 is obligatory in SCLC. We discovered somatic genomic rearrangements of TP73 that create an oncogenic version of this gene, TP73Δex2/3. In rare cases, SCLC tumours exhibited kinase gene mutations, providing a possible therapeutic opportunity for individual patients. Finally, we observed inactivating mutations in NOTCH family genes in 25% of human SCLC. Accordingly, activation of Notch signalling in a pre-clinical SCLC mouse model strikingly reduced the number of tumours and extended the survival of the mutant mice. Furthermore, neuroendocrine gene expression was abrogated by Notch activity in SCLC cells. This first comprehensive study of somatic genome alterations in SCLC uncovers several key biological processes and identifies candidate therapeutic targets in this highly lethal form of cancer.
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Cites
Fast and accurate short read alignment with Burrows-Wheeler transform
Li, H., & Durbin, R. (2009) · Bioinformatics · doi:10.1093/bioinformatics/btp324 · Cited by 58,607
Comprehensive molecular characterization of human colon and rectal cancer
The Cancer Genome Atlas Network (2012) · Nature · doi:10.1038/nature11252 · Cited by 8,499
Mutational heterogeneity in cancer and the search for new cancer-associated genes
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
A census of human cancer genes
Futreal, P. A., Coin, L., Marshall, M., Down, T., Hubbard, T., Wooster, R., Rahman, N., & Stratton, M. R. (2004) · Nature Reviews Cancer · doi:10.1038/nrc1299 · Cited by 3,184
Mapping the Hallmarks of Lung Adenocarcinoma with Massively Parallel Sequencing
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
Self-citationSpatial and temporal diversity in genomic instability processes defines lung cancer evolution
de Bruin, E. C., McGranahan, N., Mitter, R., Salm, M., Wedge, D. C., Yates, L., Jamal-Hanjani, M., Shafi, S., Murugaesu, N., Rowan, A. J., et al. (2014) · Science · doi:10.1126/science.1253462 · Cited by 1,117
Intratumor heterogeneity in localized lung adenocarcinomas delineated by multiregion sequencing
Zhang, J., Fujimoto, J., Zhang, J., Wedge, D. C., Song, X., Zhang, J., Seth, S., Chow, C.-W., Cao, Y., Gumbs, C., et al. (2014) · Science · doi:10.1126/science.1256930 · Cited by 965
Meuwissen, 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
Enhancer hijacking activates GFI1 family oncogenes in medulloblastoma
Northcott, P. A., Lee, C., Zichner, T., Stütz, A. M., Erkek, S., Kawauchi, D., Shih, D. J. H., Hovestadt, V., Zapatka, M., Sturm, D., et al. (2014) · Nature · doi:10.1038/nature13379 · Cited by 642
Self-citationSomatic retrotransposition in human cancer revealed by whole-genome and exome sequencing
Helman, E., Lawrence, M. S., Stewart, C., Sougnez, C., Getz, G., & Meyerson, M. (2014) · Genome Research · doi:10.1101/gr.163659.113 · Cited by 240
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Top 10 Challenges in Cancer Immunotherapy
Hegde, P. S., & Chen, D. S. (2020) · Immunity · doi:10.1016/j.immuni.2019.12.011 · Cited by 2,238
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-citationLung cancer immunotherapy: progress, pitfalls, and promises
Lahiri, A., Maji, A., Potdar, P. D., Singh, N., Parikh, P., Bisht, B., Mukherjee, A., & Paul, M. K. (2023) · Molecular Cancer · doi:10.1186/s12943-023-01740-y · Cited by 1,102
Targeting p53 pathways: mechanisms, structures, and advances in therapy
Wang, H., Guo, M., Wei, H., & Chen, Y. (2023) · Signal Transduction and Targeted Therapy · doi:10.1038/s41392-023-01347-1 · Cited by 1,016
Self-citationSen, 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
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Metadata
- Authors
- George, J., Lim, J. S., Jang, S. J., Cun, Y., Ozretić, L., Kong, G., Leenders, F., Lu, X., Fernández-Cuesta, L., Bosco, G., Müller, C., Dahmen, I., Jahchan, N. S., Park, K.-S., Yang, D., Karnezis, A. N., Vaka, D., Torres, A., Wang, M. S., Korbel, J. O., Menon, R., Chun, S.-M., Kim, D., Wilkerson, M., Hayes, N., Engelmann, D., Pützer, B., Bos, M., Michels, S., Vlasic, I., Seidel, D., Pinther, B., Schaub, P., Becker, C., Altmüller, J., Yokota, J., Kohno, T., Iwakawa, R., Tsuta, K., Noguchi, M., Muley, T., Hoffmann, H., Schnabel, P. A., Petersen, I., Chen, Y., Soltermann, A., Tischler, V., Choi, C.-M., Kim, Y.-H., Massion, P. P., Zou, Y., Jovanovic, D., Kontic, M., Wright, G. M., Russell, P. A., Solomon, B., Koch, I., Lindner, M., Muscarella, L. A., la Torre, A., Field, J. K., Jakopovic, M., Knezevic, J., Castaños-Vélez, E., Roz, L., Pastorino, U., Brustugun, O.-T., Lund-Iversen, M., Thunnissen, E., Köhler, J., Schuler, M., Botling, J., Sandelin, M., Sanchez-Cespedes, M., Salvesen, H. B., Achter, V., Lang, U., Bogus, M., Schneider, P. M., Zander, T., Ansén, S., Hallek, M., Wolf, J., Vingron, M., Yatabe, Y., Travis, W. D., Nürnberg, P., Reinhardt, C., Perner, S., Heukamp, L., Büttner, R., Haas, S. A., Brambilla, E., Peifer, M., Sage, J., & Thomas, R. K.
- Venue
- Nature
- Published
- 2015-07-13
- Volume
- 524
- Issue
- 7563
- Pages
- 47-53
- ISSN
- 0028-0836 (ISSN-L)
- 1476-4687
- OpenAlex
- W1903523058
- Cited by
- 2,340
- References
- 10
- FWCI
- 54.99
- Type
- journal article
- Language
- en
- Open access
- bronze
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- George, J., Lim, J. S., Jang, S. J., Cun, Y., Ozretić, L., Kong, G., Leenders, F., Lu, X., Fernández-Cuesta, L., Bosco, G., Müller, C., Dahmen, I., Jahchan, N. S., Park, K.-S., Yang, D., Karnezis, A. N., Vaka, D., Torres, A., Wang, M. S., . . . Thomas, R. K. (2015). Comprehensive genomic profiles of small cell lung cancer. Nature. https://doi.org/10.1038/nature14664
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