The DOI matches its Crossref record; 7 of the 7 references it cites were found in a registry or an index.
Amplification of PVT-1 is involved in poor prognosis via apoptosis inhibition in colorectal cancers
Open accessAbstract
BACKGROUND: We previously conducted gene expression microarray analyses to identify novel indicators for colorectal cancer (CRC) metastasis and prognosis from which we identified PVT-1 as a candidate gene. PVT-1, which encodes a long noncoding RNA, mapped to chromosome 8q24 whose copy-number amplification is one of the most frequent events in a wide variety of malignant diseases. However, PVT-1 molecular mechanism of action remains unclear. METHODS: We conducted cell proliferation and invasion assays using colorectal cancer cell lines transfected with PVT-1siRNA or negative control siRNA. Gene expression microarray analyses on these cell lines were also carried out to investigate the molecular function of PVT-1. Further, we investigated the impact of PVT-1 expression on the prognosis of 164 colorectal cancer patients by qRT-PCR. RESULTS: CRC cells transfected with PVT-1 siRNA exhibited significant loss of their proliferation and invasion capabilities. In these cells, the TGF-β signalling pathway and apoptotic signals were significantly activated. In addition, univariate and multivariate analysis revealed that PVT-1 expression level was an independent risk factor for overall survival of colorectal cancer patients. CONCLUSION: PVT-1, which maps to 8q24, generates antiapoptotic activity in CRC, and abnormal expression of PVT-1 was a prognostic indicator for CRC patients.
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Subramanian, A., Tamayo, P., Mootha, V. K., Mukherjee, S., Ebert, B. L., Gillette, M. A., Paulovich, A., Pomeroy, S. L., Golub, T. R., Lander, E. S., et al. (2005) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.0506580102 · Cited by 53,625
Adjusting batch effects in microarray expression data using empirical Bayes methods
Johnson, W. E., Li, C., & Rabinovic, A. (2007) · Biostatistics · doi:10.1093/biostatistics/kxj037 · Cited by 8,658
The 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
Long non-coding RNAs: insights into functions
Mercer, T. R., Dinger, M. E., & Mattick, J. S. (2009) · Nature Reviews Genetics · doi:10.1038/nrg2521 · Cited by 5,654
Chromatin signature reveals over a thousand highly conserved large non-coding RNAs in mammals
Guttman, M., Amit, I., Garber, M., French, C., Lin, M. F., Feldser, D., Huarte, M., Zuk, O., Carey, B. W., Cassady, J. P., et al. (2009) · Nature · doi:10.1038/nature07672 · Cited by 4,098
Specific expression of long noncoding RNAs in the mouse brain
Mercer, T. R., Dinger, M. E., Sunkin, S. M., Mehler, M. F., & Mattick, J. S. (2008) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.0706729105 · Cited by 1,103
Tolstorukov, M. Y., Sansam, C. G., Lu, P., Koellhoffer, E. C., Helming, K. C., Alver, B. H., Tillman, E. J., Evans, J. A., Wilson, B. G., Park, P. J., et al. (2013) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.1302209110 · Cited by 190
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Colorectal Carcinoma: A General Overview and Future Perspectives in Colorectal Cancer
Mármol, I., Sánchez-de-Diego, C., Pradilla Dieste, A., Cerrada, E., & Rodriguez Yoldi, M. (2017) · International Journal of Molecular Sciences · doi:10.3390/ijms18010197 · Cited by 1,525
Epigenetic Alterations in Colorectal Cancer: Emerging Biomarkers
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Long non-coding RNAs and complex diseases: from experimental results to computational models
Chen, X., Yan, C. C., Zhang, X., & You, Z.-H. (2016) · Briefings in Bioinformatics · doi:10.1093/bib/bbw060 · Cited by 567
Chen, J., Yu, Y., Li, H., Hu, Q., Chen, X., He, Y., Xue, C., Ren, F., Ren, Z., Li, J., et al. (2019) · Molecular Cancer · doi:10.1186/s12943-019-0947-9 · Cited by 389
RetractedLong Noncoding RNAs as Biomarkers in Cancer
Bolha, L., Ravnik-Glavač, M., & Glavač, D. (2017) · Disease Markers · doi:10.1155/2017/7243968 · Cited by 365
Metadata
- Authors
- Takahashi, Y., Sawada, G., Kurashige, J., Uchi, R., Matsumura, T., Ueo, H., Takano, Y., Eguchi, H., Sudo, T., Sugimachi, K., Yamamoto, H., Doki, Y., Mori, M., & Mimori, K.
- Venue
- British Journal of Cancer
- Published
- 2013-11-05
- Volume
- 110
- Issue
- 1
- Pages
- 164-171
- ISSN
- 0007-0920 (ISSN-L)
- 1532-1827
- OpenAlex
- W1989519457
- Cited by
- 287
- References
- 7
- FWCI
- 6.83
- Type
- journal article
- Language
- en
- Open access
- hybrid
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- Takahashi, Y., Sawada, G., Kurashige, J., Uchi, R., Matsumura, T., Ueo, H., Takano, Y., Eguchi, H., Sudo, T., Sugimachi, K., Yamamoto, H., Doki, Y., Mori, M., & Mimori, K. (2014). Amplification of PVT-1 is involved in poor prognosis via apoptosis inhibition in colorectal cancers. British Journal of Cancer. https://doi.org/10.1038/bjc.2013.698
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