The DOI matches its Crossref record; 17 of the 17 references it cites were found in a registry or an index.
Genomic Landscape of Non-Small Cell Lung Cancer in Smokers and Never-Smokers
Open accessAbstract
Summary We report the results of whole genome and transcriptome sequencing of tumor and adjacent normal tissue samples from 17 patients with non-small cell lung carcinoma (NSCLC). We identified 3,726 point mutations and over 90 indels in the coding sequence, with an average mutation frequency more than 10-fold higher in smokers than in never-smokers. Novel alterations in genes involved in chromatic modification and DNA repair pathways were identified along with DACH1, CFTR, RELN, ABCB5, and HGF. Deep digital sequencing revealed diverse clonality patterns in both never smokers and smokers. All validated EFGR and KRAS mutations were present in the founder clones, suggesting possible roles in cancer initiation. Analysis revealed 14 fusions including ROS1 and ALK as well as novel metabolic enzymes. Cell cycle and JAK-STAT pathways are significantly altered in lung cancer along with perturbations in 54 genes that are potentially targetable with currently available drugs.
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The Sequence Alignment/Map format and SAMtools
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Intratumor Heterogeneity and Branched Evolution Revealed by Multiregion Sequencing
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Identification of the transforming EML4–ALK fusion gene in non-small-cell lung cancer
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Comprehensive genomic characterization of squamous cell lung cancers
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Somatic mutations affect key pathways in lung adenocarcinoma
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Self-citationMassive genomic rearrangement acquired in a single catastrophic event during cancer development
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Recurring mutations found by sequencing an acute myeloid leukemia genome
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Self-citationA CFTR Potentiator in Patients with Cystic Fibrosis and the G551D Mutation
Ramsey, B. W., Davies, J., McElvaney, N. G., Tullis, E., Bell, S. C., Dřevínek, P., Griese, M., McKone, E. F., Wainwright, C. E., Konstan, M. W., et al. (2011) · New England Journal of Medicine · doi:10.1056/nejmoa1105185 · Cited by 2,195
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Mutational landscape determines sensitivity to PD-1 blockade in non–small cell lung cancer
Rizvi, N. A., Hellmann, M. D., Snyder, A., Kvistborg, P., Makarov, V., Havel, J. J., Lee, W., Yuan, J., Wong, P., Ho, T. S., et al. (2015) · Science · doi:10.1126/science.aaa1348 · Cited by 7,802
Vogelstein, B., Papadopoulos, N., Velculescu, V. E., Zhou, S., Diaz, L. A., & Kinzler, K. W. (2013) · Science · doi:10.1126/science.1235122 · Cited by 7,863
Comprehensive molecular profiling of lung adenocarcinoma
The Cancer Genome Atlas Research Network (2014) · Nature · doi:10.1038/nature13385 · Cited by 5,732
Tumour heterogeneity and resistance to cancer therapies
Dagogo-Jack, I., & Shaw, A. T. (2018) · Nature Reviews Clinical Oncology · doi:10.1038/nrclinonc.2017.166 · Cited by 3,846
Tracking the Evolution of Non–Small-Cell Lung Cancer
Jamal-Hanjani, M., Wilson, G. A., McGranahan, N., Birkbak, N. J., Watkins, T. B. K., Veeriah, S., Shafi, S., Johnson, D. H., Mitter, R., Rosenthal, R., et al. (2017) · New England Journal of Medicine · doi:10.1056/nejmoa1616288 · Cited by 2,349
Metadata
- Authors
- Govindan, R., Ding, L., Griffith, M., Subramanian, J., Dees, N. D., Kanchi, K. L., Maher, C. A., Fulton, R., Fulton, L., Wallis, J., Chen, K., Walker, J., McDonald, S., Bose, R., Ornitz, D., Xiong, D., You, M., Dooling, D. J., Watson, M., Mardis, E. R., & Wilson, R. K.
- Venue
- Cell
- Publisher
- Elsevier BV
- Published
- 2012-09
- Volume
- 150
- Issue
- 6
- Pages
- 1121-1134
- ISSN
- 0092-8674 (ISSN-L)
- OpenAlex
- W2131876608
- Cited by
- 1,146
- References
- 17
- FWCI
- 82.29
- Type
- journal article
- Language
- en
- Open access
- bronze
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- Govindan, R., Ding, L., Griffith, M., Subramanian, J., Dees, N. D., Kanchi, K. L., Maher, C. A., Fulton, R., Fulton, L., Wallis, J., Chen, K., Walker, J., McDonald, S., Bose, R., Ornitz, D., Xiong, D., You, M., Dooling, D. J., Watson, M., . . . Wilson, R. K. (2012). Genomic Landscape of Non-Small Cell Lung Cancer in Smokers and Never-Smokers. Cell. https://doi.org/10.1016/j.cell.2012.08.024
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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.
