The DOI matches its Crossref record; 9 of the 9 references it cites were found in a registry or an index.
Proteomic Profiling Identifies Dysregulated Pathways in Small Cell Lung Cancer and Novel Therapeutic Targets Including PARP1
Open accessAbstract
Small cell lung cancer (SCLC) is an aggressive malignancy distinct from non–small cell lung cancer (NSCLC) in its metastatic potential and treatment response. Using an integrative proteomic and transcriptomic analysis, we investigated molecular differences contributing to the distinct clinical behavior of SCLCs and NSCLCs. SCLCs showed lower levels of several receptor tyrosine kinases and decreased activation of phosphoinositide 3-kinase (PI3K) and Ras/mitogen-activated protein (MAP)/extracellular signal–regulated kinase (ERK) kinase (MEK) pathways but significantly increased levels of E2F1-regulated factors including enhancer of zeste homolog 2 (EZH2), thymidylate synthase, apoptosis mediators, and DNA repair proteins. In addition, PARP1, a DNA repair protein and E2F1 co-activator, was highly expressed at the mRNA and protein levels in SCLCs. SCLC growth was inhibited by PARP1 and EZH2 knockdown. Furthermore, SCLC was significantly more sensitive to PARP inhibitors than were NSCLCs, and PARP inhibition downregulated key components of the DNA repair machinery and enhanced the efficacy of chemotherapy. Significance: SCLC is a highly lethal cancer with a 5-year survival rate of less than 10%. To date, no molecularly targeted agents have prolonged survival in patients with SCLCs. As a step toward identifying new targets, we systematically profiled SCLCs with a focus on therapeutically relevant signaling pathways. Our data reveal fundamental differences in the patterns of pathway activation in SCLCs and NSCLCs and identify several potential therapeutic targets for SCLCs, including PARP1 and EZH2. On the basis of these results, clinical studies evaluating PARP and EZH2 inhibition, together with chemotherapy or other agents, warrant further investigation. Cancer Discov; 2(9); 798–811. ©2012 AACR. Read the Commentary on this article by Rosell and Wannesson, p. 769. This article is highlighted in the In This Issue feature, p. 753.
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Gene Expression Omnibus: NCBI gene expression and hybridization array data repository
Edgar, R. (2002) · Nucleic Acids Research · doi:10.1093/nar/30.1.207 · Cited by 13,288
Lynch, T. J., Bell, D. W., Sordella, R., Gurubhagavatula, S., Okimoto, R. A., Brannigan, B. W., Harris, P. L., Haserlat, S. M., Supko, J. G., Haluska, F. G., et al. (2004) · New England Journal of Medicine · doi:10.1056/nejmoa040938 · Cited by 11,486
EGFR Mutations in Lung Cancer: Correlation with Clinical Response to Gefitinib Therapy
Paez, J. G., Jänne, P. A., Lee, J. C., Tracy, S., Greulich, H., Gabriel, S., Herman, P., Kaye, F. J., Lindeman, N., Boggon, T. J., et al. (2004) · Science · doi:10.1126/science.1099314 · Cited by 9,368
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
Inhibition of Poly(ADP-Ribose) Polymerase in Tumors from BRCA Mutation Carriers
Fong, P. C., Boss, D. S., Yap, T. A., Tutt, A., Wu, P., Mergui-Roelvink, M., Mortimer, P., Swaisland, H., Lau, A., O'Connor, M. J., et al. (2009) · New England Journal of Medicine · doi:10.1056/nejmoa0900212 · Cited by 3,634
Systematic identification of genomic markers of drug sensitivity in cancer cells
Garnett, M. J., Edelman, E. J., Heidorn, S. J., Greenman, C. D., Dastur, A., Lau, K. W., Greninger, P., Thompson, I. R., Luo, X., Soares, J., et al. (2012) · Nature · doi:10.1038/nature11005 · Cited by 2,456
EZH2 is downstream of the pRB-E2F pathway, essential for proliferation and amplified in cancer.
Bracken, A. P., Pasini, D., Capra, M., Prosperini, E., Colli, E., & Helin, K. (2003) · The EMBO Journal · doi:10.1093/emboj/cdg542 · Cited by 1,196
Calabrese, C. R., Almassy, R., Barton, S., Batey, M. A., Calvert, A. H., Canan-Koch, S., Durkacz, B. W., Hostomsky, Z., Kumpf, R. A., Kyle, S., et al. (2004) · JNCI Journal of the National Cancer Institute · doi:10.1093/jnci/djh005 · Cited by 487
Kaye, F. J. (2002) · Oncogene · doi:10.1038/sj.onc.1205834 · Cited by 153
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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
Self-citationPARPs and ADP-ribosylation: recent advances linking molecular functions to biological outcomes
Gupte, R., Liu, Z., & Kraus, W. L. (2017) · Genes & Development · doi:10.1101/gad.291518.116 · Cited by 681
“Moreover, targeting PARP-1 with talazoparib reduces the growth of SCLC cell lines and tumor growth in preclinical models (Cardnell et al. 2013).”
InfluentialRB loss in resistant EGFR mutant lung adenocarcinomas that transform to small-cell lung cancer
Niederst, M. J., Sequist, L. V., Poirier, J. T., Mermel, C. H., Lockerman, E. L., Garcia, A. R., Katayama, R., Costa, C., Ross, K. N., Moran, T., et al. (2015) · Nature Communications · doi:10.1038/ncomms7377 · Cited by 647
Pietanza, M. C., Waqar, S. N., Krug, L. M., Dowlati, A., Hann, C. L., Chiappori, A., Owonikoko, T. K., Woo, K. M., Cardnell, R. J., Fujimoto, J., et al. (2018) · Journal of Clinical Oncology · doi:10.1200/jco.2018.77.7672 · Cited by 399
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Metadata
- Authors
- Byers, L. A., Wang, J., Nilsson, M. B., Fujimoto, J., Saintigny, P., Yordy, J., Giri, U., Peyton, M., Fan, Y. H., Diao, L., Masrorpour, F., Shen, L., Liu, W., Duchemann, B., Tumula, P., Bhardwaj, V., Welsh, J., Weber, S., Glisson, B. S., Kalhor, N., Wistuba, I. I., Girard, L., Lippman, S. M., Mills, G. B., Coombes, K. R., Weinstein, J. N., Minna, J. D., & Heymach, J. V.
- Venue
- Cancer Discovery
- Published
- 2012-09-01
- Volume
- 2
- Issue
- 9
- Pages
- 798-811
- ISSN
- 2159-8274 (ISSN-L)
- 2159-8290
- OpenAlex
- W2098161852
- Cited by
- 557
- References
- 9
- FWCI
- 11.79
- Type
- journal article
- Language
- en
- Open access
- green
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- Byers, L. A., Wang, J., Nilsson, M. B., Fujimoto, J., Saintigny, P., Yordy, J., Giri, U., Peyton, M., Fan, Y. H., Diao, L., Masrorpour, F., Shen, L., Liu, W., Duchemann, B., Tumula, P., Bhardwaj, V., Welsh, J., Weber, S., Glisson, B. S., . . . Heymach, J. V. (2012). Proteomic Profiling Identifies Dysregulated Pathways in Small Cell Lung Cancer and Novel Therapeutic Targets Including PARP1. Cancer Discovery. https://doi.org/10.1158/2159-8290.cd-12-0112
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