The DOI matches its Crossref record; 65 of the 65 references it cites were found in a registry or an index.
ALK Mutations Confer Differential Oncogenic Activation and Sensitivity to ALK Inhibition Therapy in Neuroblastoma
Open accessAbstract
Summary Genetic studies have established anaplastic lymphoma kinase (ALK), a cell surface receptor tyrosine kinase, as a tractable molecular target in neuroblastoma. We describe comprehensive genomic, biochemical, and computational analyses of ALK mutations across 1596 diagnostic neuroblastoma samples. ALK tyrosine kinase domain mutations occurred in 8% of samples; at three hotspots plus 13 minor sites – and correlated significantly with poorer survival in high- and intermediate-risk neuroblastoma. Biochemical and computational studies distinguished oncogenic (constitutively activating) from non-oncogenic mutations and allowed robust computational prediction of their effects. We also established differential in vitro crizotinib sensitivity of mutated variants. Our studies identify ALK genomic status as a clinically important therapeutic stratification tool in neuroblastoma, and will allow tailoring of ALK-targeted therapy to specific mutations.
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VMD: visual molecular dynamics
Humphrey, W., Dalke, A., & Schulten, K. (1996) · Journal of Molecular Graphics · doi:10.1016/0263-7855(96)00018-5 · Cited by 66,952
Scalable molecular dynamics with NAMD
Phillips, J. C., Braun, R., Wang, W., Gumbart, J., Tajkhorshid, E., Villa, E., Chipot, C., Skeel, R. D., Kalé, L., & Schulten, K. (2005) · Journal of Computational Chemistry · doi:10.1002/jcc.20289 · Cited by 16,914
All-Atom Empirical Potential for Molecular Modeling and Dynamics Studies of Proteins
MacKerell, A. D., Bashford, D., Bellott, M., Dunbrack, R. L., Evanseck, J. D., Field, M. J., Fischer, S., Gao, J., Guo, H., Ha, S., et al. (1998) · The Journal of Physical Chemistry B · doi:10.1021/jp973084f · Cited by 14,311
A method and server for predicting damaging missense mutations.
Adzhubei, I. A., Schmidt, S., Peshkin, L., Ramensky, V. E., Gerasimova, A., Bork, P., Kondrashov, A. S., & Sunyaev, S. R. (2010) · Nature Methods · doi:10.1038/nmeth0410-248 · Cited by 13,194
Settle: An analytical version of the SHAKE and RATTLE algorithm for rigid water models
Miyamoto, S., & Kollman, P. A. (1992) · Journal of Computational Chemistry · doi:10.1002/jcc.540130805 · Cited by 7,344
Kumar, P., Henikoff, S., & Ng, P. C. (2009) · Nature Protocols · doi:10.1038/nprot.2009.86 · Cited by 6,521
Constant pressure molecular dynamics algorithms
Martyna, G. J., Tobias, D. J., & Klein, M. L. (1994) · The Journal of Chemical Physics · doi:10.1063/1.467468 · Cited by 5,804
Identification of the transforming EML4–ALK fusion gene in non-small-cell lung cancer
Soda, M., Choi, Y. L., Enomoto, M., Takada, S., Yamashita, Y., Ishikawa, S., Fujiwara, S.-I., Watanabe, H., Kurashina, K., Hatanaka, H., et al. (2007) · Nature · doi:10.1038/nature05945 · Cited by 5,439
Comparative Protein Structure Modeling Using Modeller
Eswar, N., Webb, B., Marti‐Renom, M. A., Madhusudhan, M. S., Eramian, D., Shen, M., Pieper, U., & Sali, A. (2006) · Current Protocols in Bioinformatics · doi:10.1002/0471250953.bi0506s15 · Cited by 4,478
Anaplastic Lymphoma Kinase Inhibition in Non–Small-Cell Lung Cancer
Kwak, E. L., Bang, Y.-J., Camidge, D. R., Shaw, A. T., Solomon, B., Maki, R. G., Ou, S.-H. I., Dezube, B. J., Jänne, P. A., Costa, D. B., et al. (2010) · New England Journal of Medicine · doi:10.1056/nejmoa1006448 · Cited by 4,446
Cited by
Molecular targeting therapies for neuroblastoma: Progress and challenges
Zafar, A., Wang, W., Liu, G., Wang, X., Xian, W., McKeon, F., Foster, J., Zhou, J., & Zhang, R. (2021) · Medicinal Research Reviews · doi:10.1002/med.21750 · Cited by 380
Cancer Vaccines, Adjuvants, and Delivery Systems
Paston, S. J., Brentville, V. A., Symonds, P., & Durrant, L. G. (2021) · Frontiers in Immunology · doi:10.3389/fimmu.2021.627932 · Cited by 200
Valencia-Sama, I., Ladumor, Y., Kee, L., Adderley, T., Christopher, G., Robinson, C. M., Kano, Y., Ohh, M., & Irwin, M. S. (2020) · Cancer Research · doi:10.1158/0008-5472.can-19-3822 · Cited by 62
Bagchi, A., Haidar, J. N., Eastman, S. W., Vieth, M., Topper, M., Iacolina, M. D., Walker, J. M., Forest, A., Shen, Y., Novosiadly, R. D., et al. (2018) · Molecular Cancer Therapeutics · doi:10.1158/1535-7163.mct-17-0575 · Cited by 60
Berko, E. R., Witek, G. M., Matkar, S., Petrova, Z. O., Wu, M. A., Smith, C. M., Daniels, A., Kalna, J., Kennedy, A., Gostuski, I., et al. (2023) · Nature Communications · doi:10.1038/s41467-023-38195-0 · Cited by 53
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Metadata
- Authors
- Bresler, S. C., Weiser, D. A., Huwe, P. J., Park, J. H., Krytska, K., Ryles, H., Laudenslager, M., Rappaport, E. F., Wood, A. C., McGrady, P. W., Hogarty, M. D., London, W. B., Radhakrishnan, R., Lemmon, M. A., & Mossé, Y. P.
- Venue
- Cancer Cell
- Publisher
- Elsevier BV
- Published
- 2014-11
- Volume
- 26
- Issue
- 5
- Pages
- 682-694
- ISSN
- 1535-6108 (ISSN-L)
- OpenAlex
- W2024963052
- Cited by
- 388
- References
- 65
- FWCI
- 17.66
- Type
- journal article
- Language
- en
- Open access
- bronze
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- Bresler, S. C., Weiser, D. A., Huwe, P. J., Park, J. H., Krytska, K., Ryles, H., Laudenslager, M., Rappaport, E. F., Wood, A. C., McGrady, P. W., Hogarty, M. D., London, W. B., Radhakrishnan, R., Lemmon, M. A., & Mossé, Y. P. (2014). ALK Mutations Confer Differential Oncogenic Activation and Sensitivity to ALK Inhibition Therapy in Neuroblastoma. Cancer Cell. https://doi.org/10.1016/j.ccell.2014.09.019
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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.
