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ABSTRACT: Background
Fusion genes may play an important role in tumorigenesis, prognosis, and drug resistance; however, studies on fusion genes in endometrial cancer (EC) are rare. This study aimed to identify new fusion genes and to explore their clinical significance in EC.Methods
A total of 28 patients diagnosed with EC were enrolled in this study. RNA sequencing was used to obtain entire genomes and transcriptomes. STAR-comparison and STAR-fusion prediction were applied to predict the fusion genes. Chi-square tests and Student t tests were used to verify the clinical significance with SPSS 13.0 software.Results
New fusion genes were found, and the number of fusion genes varied from 3 to 110 among all patients with EC. The type of fusion genes varied and included messenger RNA (mRNA)-mRNA, long non-coding RNA (lncRNA)-lncRNA, and lncRNA-mRNA. There were six fusion genes with high fusion rates, namely, RP11-123O10.4-GRIP1, RP11-444D3.1-SOX5, RP11-680G10.1-GSE1, NRIP1-AF127936.7, RP11-96H19.1-RP11-446N19.1, and DPH7-PTP4A3. Further studies showed that these fusion genes are related to stage, grade, and recurrence, in which NRIP1-AF127936.7 and DPH7-PTP4A3 were found only in stage III patients with EC. DPH7-PTP4A3 was found in grades 2 and 3, and recurrent patients with EC.Conclusion
Fusion genes play an essential role in EC. Six genes that are overexpressed with high fusion rates are identified. NRIP1-AF127936.7 and DPH7-PTP4A3 might be related to stage, and DPH7-PTP4A3 be related to grade and recurrence.
SUBMITTER: Yao T
PROVIDER: S-EPMC6629362 | biostudies-literature | 2019 Jun
REPOSITORIES: biostudies-literature
Yao Tian T Liu Jin-Jin JJ Zhao Li-Jun LJ Zhou Jing-Yi JY Wang Jia-Qi JQ Wang Yue Y Wang Zhi-Qi ZQ Wei Li-Hui LH Wang Jian-Liu JL Li Xiao-Ping XP
Chinese medical journal 20190601 11
<h4>Background</h4>Fusion genes may play an important role in tumorigenesis, prognosis, and drug resistance; however, studies on fusion genes in endometrial cancer (EC) are rare. This study aimed to identify new fusion genes and to explore their clinical significance in EC.<h4>Methods</h4>A total of 28 patients diagnosed with EC were enrolled in this study. RNA sequencing was used to obtain entire genomes and transcriptomes. STAR-comparison and STAR-fusion prediction were applied to predict the ...[more]