The DOI matches its Crossref record; 4 of the 4 references it cites were found in a registry or an index.
Recurrent mutations in epigenetic regulators, RHOA and FYN kinase in peripheral T cell lymphomas
Open accessAbstract
Peripheral T cell lymphomas (PTCLs) are a heterogeneous and poorly understood group of non-Hodgkin lymphomas. Here we combined whole-exome sequencing of 12 tumor-normal DNA pairs, RNA sequencing analysis and targeted deep sequencing to identify new genetic alterations in PTCL transformation. These analyses identified highly recurrent epigenetic factor mutations in TET2, DNMT3A and IDH2 as well as a new highly prevalent RHOA mutation encoding a p.Gly17Val alteration present in 22 of 35 (67%) angioimmunoblastic T cell lymphoma (AITL) samples and in 8 of 44 (18%) PTCL, not otherwise specified (PTCL-NOS) samples. Mechanistically, the RHOA Gly17Val protein interferes with RHOA signaling in biochemical and cellular assays, an effect potentially mediated by the sequestration of activated guanine-exchange factor (GEF) proteins. In addition, we describe new and recurrent, albeit less frequent, genetic defects including mutations in FYN, ATM, B2M and CD58 implicating SRC signaling, impaired DNA damage response and escape from immune surveillance mechanisms in the pathogenesis of PTCL.
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Gapped BLAST and PSI-BLAST: a new generation of protein database search programs
Altschul, S. (1997) · Nucleic Acids Research · doi:10.1093/nar/25.17.3389 · Cited by 73,302
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
deFuse: An Algorithm for Gene Fusion Discovery in Tumor RNA-Seq Data
McPherson, A., Hormozdiari, F., Zayed, A., Giuliany, R., Ha, G., Sun, M. G. F., Griffith, M., Heravi Moussavi, A., Senz, J., Melnyk, N., et al. (2011) · PLoS Computational Biology · doi:10.1371/journal.pcbi.1001138 · Cited by 557
Sirt1 enhances skeletal muscle insulin sensitivity in mice during caloric restriction
Schenk, S., McCurdy, C. E., Philp, A., Chen, M. Z., Holliday, M. J., Bandyopadhyay, G. K., Osborn, O., Baar, K., & Olefsky, J. M. (2011) · Journal of Clinical Investigation · doi:10.1172/jci58554 · Cited by 197
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The 2016 revision of the World Health Organization classification of lymphoid neoplasms
Swerdlow, S. H., Campo, E., Pileri, S. A., Harris, N. L., Stein, H., Siebert, R., Advani, R., Ghielmini, M., Salles, G. A., Zelenetz, A. D., et al. (2016) · Blood · doi:10.1182/blood-2016-01-643569 · Cited by 7,831
Self-citationComprehensive molecular characterization of gastric adenocarcinoma
The Cancer Genome Atlas Research Network (2014) · Nature · doi:10.1038/nature13480 · Cited by 6,498
Role of TET enzymes in DNA methylation, development, and cancer
Rasmussen, K. D., & Helin, K. (2016) · Genes & Development · doi:10.1101/gad.276568.115 · Cited by 1,040
“2014); STAG2, DNAH9, and serine–threonine kinasemutations inAML patients (CancerGenome Atlas Research Network 2013); and RHOA, IDH2, and DNMT3A mutations in AITL patients (Palomero et al. 2014; Sakata-Yanagimoto et al. 2014).”
BackgroundWang, K., Yuen, S. T., Xu, J., Lee, S. P., Yan, H. H. N., Shi, S. T., Siu, H. C., Deng, S., Chu, K. M., Law, S., et al. (2014) · Nature Genetics · doi:10.1038/ng.2983 · Cited by 1,045
Crescenzo, R., Abate, F., Lasorsa, E., Tabbo’, F., Gaudiano, M., Chiesa, N., Di Giacomo, F., Spaccarotella, E., Barbarossa, L., Ercole, E., et al. (2015) · Cancer Cell · doi:10.1016/j.ccell.2015.03.006 · Cited by 443
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Metadata
- Authors
- Palomero, T., Couronné, L., Khiabanian, H., Kim, M.-Y., Ambesi-Impiombato, A., Perez-Garcia, A., Carpenter, Z., Abate, F., Allegretta, M., Haydu, J. E., Jiang, X., Lossos, I. S., Nicolas, C., Balbin, M., Bastard, C., Bhagat, G., Piris, M. A., Campo, E., Bernard, O. A., Rabadan, R., & Ferrando, A. A.
- Venue
- Nature Genetics
- Published
- 2014-01-12
- Volume
- 46
- Issue
- 2
- Pages
- 166-170
- ISSN
- 1061-4036 (ISSN-L)
- 1546-1718
- OpenAlex
- W4233431843
- Cited by
- 619
- References
- 4
- FWCI
- 44.05
- Type
- journal article
- Language
- en
- Open access
- green
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