The DOI matches its Crossref record; 82 of the 82 references it cites were found in a registry or an index.
MYC Drives Temporal Evolution of Small Cell Lung Cancer Subtypes by Reprogramming Neuroendocrine Fate
Open accessAbstract
SUMMARY Small cell lung cancer (SCLC) is a neuroendocrine tumor treated clinically as a single disease with poor outcomes. Distinct SCLC molecular subtypes have been defined based on expression of ASCL1, NEUROD1, POU2F3 or YAP1. Here, we use mouse and human models with a time-series single-cell transcriptome analysis to reveal that MYC drives dynamic evolution of SCLC subtypes. In neuroendocrine cells, MYC activates Notch to dedifferentiate tumor cells, promoting a temporal shift in SCLC from ASCL1+ to NEUROD1+ to YAP1+ states. MYC alternatively promotes POU2F3+ tumors from a distinct cell type. Human SCLC exhibits intratumoral subtype heterogeneity, suggesting this dynamic evolution occurs in patient tumors. These findings suggest that genetics, cell of origin, and tumor cell plasticity determine SCLC subtype.
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Moderated estimation of fold change and dispersion for RNA-seq data with DESeq2
Love, M. I., Huber, W., & Anders, S. (2014) · Genome Biology · doi:10.1186/s13059-014-0550-8 · Cited by 95,106
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
STAR: ultrafast universal RNA-seq aligner
Dobin, A., Davis, C. A., Schlesinger, F., Drenkow, J., Zaleski, C., Jha, S., Batut, P., Chaisson, M., & Gingeras, T. R. (2013) · Bioinformatics · doi:10.1093/bioinformatics/bts635 · Cited by 51,709
Cutadapt removes adapter sequences from high-throughput sequencing reads
Martin, M. (2011) · EMBnet.journal · doi:10.14806/ej.17.1.200 · Cited by 33,889
featureCounts: an efficient general purpose program for assigning sequence reads to genomic features
Liao, Y., Smyth, G. K., & Shi, W. (2014) · Bioinformatics · doi:10.1093/bioinformatics/btt656 · Cited by 27,219
Comprehensive Integration of Single-Cell Data
Stuart, T., Butler, A., Hoffman, P., Hafemeister, C., Papalexi, E., Mauck, W. M., Hao, Y., Stoeckius, M., Smibert, P., & Satija, R. (2019) · Cell · doi:10.1016/j.cell.2019.05.031 · Cited by 15,453
Robust enumeration of cell subsets from tissue expression profiles
Newman, A. M., Liu, C. L., Green, M. R., Gentles, A. J., Feng, W., Xu, Y., Hoang, C. D., Diehn, M., & Alizadeh, A. A. (2015) · Nature Methods · doi:10.1038/nmeth.3337 · Cited by 13,224
Integrating single-cell transcriptomic data across different conditions, technologies, and species
Butler, A., Hoffman, P., Smibert, P., Papalexi, E., & Satija, R. (2018) · Nature Biotechnology · doi:10.1038/nbt.4096 · Cited by 13,174
Cingolani, P., Platts, A., Wang, L. L., Coon, M., Nguyen, T., Wang, L., Land, S. J., Lu, X., & Ruden, D. M. (2012) · Fly · doi:10.4161/fly.19695 · Cited by 11,816
Enrichr: a comprehensive gene set enrichment analysis web server 2016 update
Kuleshov, M. V., Jones, M. R., Rouillard, A. D., Fernandez, N. F., Duan, Q., Wang, Z., Koplev, S., Jenkins, S. L., Jagodnik, K. M., Lachmann, A., et al. (2016) · Nucleic Acids Research · doi:10.1093/nar/gkw377 · Cited by 10,799
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Targeting MYC-enhanced glycolysis for the treatment of small cell lung cancer
Cargill, K. R., Stewart, C. A., Park, E. M., Ramkumar, K., Gay, C. M., Cardnell, R. J., Wang, Q., Diao, L., Shen, L., Fan, Y.-H., et al. (2021) · Cancer & Metabolism · doi:10.1186/s40170-021-00270-9 · Cited by 62
Self-citationMontuori, G., Tu, F., Qin, D., Schmargon, R., Rodriguez-Fos, E., Helmsauer, K., Hui, H., Mandal, S., Purshouse, K., Fankhänel, L., et al. (2025) · Cancer Discovery · doi:10.1158/2159-8290.cd-24-1738 · Cited by 15
Metadata
- Authors
- Ireland, A. S., Micinski, A. M., Kastner, D. W., Guo, B., Wait, S. J., Spainhower, K. B., Conley, C. C., Chen, O. S., Guthrie, M. R., Soltero, D., Qiao, Y., Huang, X., Tarapcsák, S., Devarakonda, S., Chalishazar, M. D., Gertz, J., Moser, J. C., Marth, G., Puri, S., Witt, B. L., Spike, B. T., & Oliver, T. G.
- Venue
- Cancer Cell
- Publisher
- Elsevier BV
- Published
- 2020-07
- Volume
- 38
- Issue
- 1
- Pages
- 60-78.e12
- ISSN
- 1535-6108 (ISSN-L)
- OpenAlex
- W3028669282
- Cited by
- 508
- References
- 82
- FWCI
- 20.21
- Type
- journal article
- Language
- en
- Open access
- bronze
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- Ireland, A. S., Micinski, A. M., Kastner, D. W., Guo, B., Wait, S. J., Spainhower, K. B., Conley, C. C., Chen, O. S., Guthrie, M. R., Soltero, D., Qiao, Y., Huang, X., Tarapcsák, S., Devarakonda, S., Chalishazar, M. D., Gertz, J., Moser, J. C., Marth, G., Puri, S., . . . Oliver, T. G. (2020). MYC Drives Temporal Evolution of Small Cell Lung Cancer Subtypes by Reprogramming Neuroendocrine Fate. Cancer Cell. https://doi.org/10.1016/j.ccell.2020.05.001
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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
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