The DOI matches its Crossref record; 15 of the 15 references it cites were found in a registry or an index.
cAMP/CREB-regulated LINC00473 marks LKB1-inactivated lung cancer and mediates tumor growth
Open accessAbstract
The LKB1 tumor suppressor gene is frequently mutated and inactivated in non-small cell lung cancer (NSCLC). Loss of LKB1 promotes cancer progression and influences therapeutic responses in preclinical studies; however, specific targeted therapies for lung cancer with LKB1 inactivation are currently unavailable. Here, we have identified a long noncoding RNA (lncRNA) signature that is associated with the loss of LKB1 function. We discovered that LINC00473 is consistently the most highly induced gene in LKB1-inactivated human primary NSCLC samples and derived cell lines. Elevated LINC00473 expression correlated with poor prognosis, and sustained LINC00473 expression was required for the growth and survival of LKB1-inactivated NSCLC cells. Mechanistically, LINC00473 was induced by LKB1 inactivation and subsequent cyclic AMP-responsive element-binding protein (CREB)/CREB-regulated transcription coactivator (CRTC) activation. We determined that LINC00473 is a nuclear lncRNA and interacts with NONO, a component of the cAMP signaling pathway, thereby facilitating CRTC/CREB-mediated transcription. Collectively, our study demonstrates that LINC00473 expression potentially serves as a robust biomarker for tumor LKB1 functional status that can be integrated into clinical trials for patient selection and treatment evaluation, and implicates LINC00473 as a therapeutic target for LKB1-inactivated NSCLC.
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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
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
Self-citationThe Cancer Cell Line Encyclopedia enables predictive modelling of anticancer drug sensitivity
Barretina, J., Caponigro, G., Stransky, N., Venkatesan, K., Margolin, A. A., Kim, S., Wilson, C. J., Lehár, J., Kryukov, G. V., Sonkin, D., et al. (2012) · Nature · doi:10.1038/nature11003 · Cited by 7,950
Comprehensive molecular profiling of lung adenocarcinoma
The Cancer Genome Atlas Research Network (2014) · Nature · doi:10.1038/nature13385 · Cited by 5,732
Landscape of transcription in human cells
Djebali, S., Davis, C. A., Merkel, A., Dobin, A., Lassmann, T., Mortazavi, A., Tanzer, A., Lagarde, J., Lin, W., Schlesinger, F., et al. (2012) · Nature · doi:10.1038/nature11233 · Cited by 5,187
The landscape of somatic copy-number alteration across human cancers
Beroukhim, R., Mermel, C. H., Porter, D., Wei, G., Raychaudhuri, S., Donovan, J., Barretina, J., Boehm, J. S., Dobson, J., Urashima, M., et al. (2010) · Nature · doi:10.1038/nature08822 · Cited by 4,017
Self-citationThe landscape of long noncoding RNAs in the human transcriptome
Iyer, M. K., Niknafs, Y. S., Malik, R., Singhal, U., Sahu, A., Hosono, Y., Barrette, T. R., Prensner, J. R., Evans, J. R., Zhao, S., et al. (2015) · Nature Genetics · doi:10.1038/ng.3192 · Cited by 2,738
Somatic mutations affect key pathways in lung adenocarcinoma
Ding, L., Getz, G., Wheeler, D. A., Mardis, E. R., McLellan, M. D., Cibulskis, K., Sougnez, C., Greulich, H., Muzny, D. M., Morgan, M. B., et al. (2008) · Nature · doi:10.1038/nature07423 · Cited by 2,681
Direct multiplexed measurement of gene expression with color-coded probe pairs
Geiss, G. K., Bumgarner, R. E., Birditt, B., Dahl, T., Dowidar, N., Dunaway, D. L., Fell, H. P., Ferree, S., George, R. D., Grogan, T., et al. (2008) · Nature Biotechnology · doi:10.1038/nbt1385 · Cited by 2,066
The LKB1-AMPK pathway: metabolism and growth control in tumour suppression
Shackelford, D. B., & Shaw, R. J. (2009) · Nature Reviews Cancer · doi:10.1038/nrc2676 · Cited by 1,943
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Zhang, E., He, X., Zhang, C., Su, J., Lu, X., Si, X., Chen, J., Yin, D., Han, L., & De, W. (2018) · Genome Biology · doi:10.1186/s13059-018-1523-0 · Cited by 282
Sex-Specific Role for the Long Non-coding RNA LINC00473 in Depression
Issler, O., van der Zee, Y. Y., Ramakrishnan, A., Wang, J., Tan, C., Loh, Y.-H. E., Purushothaman, I., Walker, D. M., Lorsch, Z. S., Hamilton, P. J., et al. (2020) · Neuron · doi:10.1016/j.neuron.2020.03.023 · Cited by 156
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Wang, Z., Zhang, X., Tian, X., Yang, Y., Ma, L., Wang, J., & Yu, Y. (2021) · Oncology Reports · doi:10.3892/or.2021.8039 · Cited by 122
An LKB1–SIK Axis Suppresses Lung Tumor Growth and Controls Differentiation
Murray, C. W., Brady, J. J., Tsai, M. K., Li, C., Winters, I. P., Tang, R., Andrejka, L., Ma, R. K., Kunder, C. A., Chu, P., et al. (2019) · Cancer Discovery · doi:10.1158/2159-8290.cd-18-1237 · Cited by 111
Metadata
- Authors
- Chen, Z., Li, J.-L., Lin, S., Cao, C., Gimbrone, N. T., Yang, R., Fu, D. A., Carper, M. B., Haura, E. B., Schabath, M. B., Lu, J., Amelio, A. L., Cress, W. D., Kaye, F. J., & Wu, L.
- Venue
- Journal of Clinical Investigation
- Published
- 2016-05-03
- Volume
- 126
- Issue
- 6
- Pages
- 2267-2279
- ISSN
- 0021-9738 (ISSN-L)
- 1558-8238
- OpenAlex
- W2345961903
- Cited by
- 194
- References
- 15
- FWCI
- 8.73
- Type
- journal article
- Language
- en
- Open access
- bronze
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- Chen, Z., Li, J.-L., Lin, S., Cao, C., Gimbrone, N. T., Yang, R., Fu, D. A., Carper, M. B., Haura, E. B., Schabath, M. B., Lu, J., Amelio, A. L., Cress, W. D., Kaye, F. J., & Wu, L. (2016). cAMP/CREB-regulated LINC00473 marks LKB1-inactivated lung cancer and mediates tumor growth. Journal of Clinical Investigation. https://doi.org/10.1172/jci85250
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