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NTRK1 fusions for the therapeutic intervention of Korean patients with colon cancer

Cited 22 time in Web of Science Cited 24 time in Scopus
Authors

Park, Do Youn; Choi, Chan; Shin, Eunji; Lee, Jae Hyuk; Kwon, Chae Hwa; Jo, Hong-Jae; Kim, Hyeong-Rok; Kim, Hyun Sung; Oh, Nahmgun; Lee, Ji Shin; Park, Ok Ku; Park, Eok; Park, Jonghoon; Shin, Jong-Yeon; Kim, Jong-Il; Seo, Jeong-Sun; Park, Hee Dong; Park, Joonghoon

Issue Date
2016-02
Publisher
Impact Journals
Citation
Oncotarget, Vol.7 No.7, pp.8399-8412
Abstract
The identification and clinical validation of cancer driver genes are essential to accelerate the translational transition of cancer genomics, as well as to find clinically confident targets for the therapeutic intervention of cancers. Here we identified recurrent LMNA-NTRK1 and TPM3-NTRK1 fusions in Korean patients with colon cancer (3 out of 147, 2%) through next-generation RNA sequencing (RNA-seq). NTRK1 fusions were mutually exclusive oncogenic drivers of colon cancer that were accompanied with in vitro potential of colony formation and in vivo tumorigenicity comparable to KM12, a human colon cancer cell line harboring TPM3-NTRK1 fusion. NTRK1-encoded TrkA protein was prevalent in 11 out of 216 Korean (5.1%) and 28 out of 472 Chinese patients (5.9%) from independent cohorts, respectively. The expression level of TrkA was significantly correlated with NTRK1 fusion (p = 0.0192), which was verified by a fluorescence in situ hybridization (FISH). Korean patients with TrkA-positive colon cancer had a marginal but significant shorter overall survival time than TrkA-negative colon cancer [ hazard ratio (HR) = 0.5346, 95% confidential interval (CI) = 0.2548-0.9722, p = 0.0411]. In addition, KM12 cell line was sensitive to selective TrkA inhibitors. These results demonstrate that NTRK1 fusion is granted as a clinically relevant target for therapeutic intervention of colon cancer.
ISSN
1949-2553
URI
https://hdl.handle.net/10371/207007
DOI
https://doi.org/10.18632/oncotarget.6724
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  • Graduate School of International Agricultural Technology
  • Department of International Agricultural Technology
Research Area Epigenomic dynamics in stem cell differentiation, Knowledge-based target identification and validation of disease and economic traits, Nonclinical development of biopharmaceuticals

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