Molecular characterization of serous ovarian carcinoma using a multigene next generation sequencing cancer panel approach

被引:15
|
作者
Mutalib N.-S.A. [1 ]
Syafruddin S.E. [1 ]
Zain R.R.M. [2 ]
Dali A.Z.H.M. [3 ]
Yunos R.I.M. [1 ]
Saidin S. [1 ]
Jamal R. [1 ]
Mokhtar N.M. [1 ,4 ]
机构
[1] UKM Medical Molecular Biology Institute (UMBI), Universiti Kebangsaan Malaysia, Jalan Yaacob Latif, Cheras, Kuala Lumpur
[2] Department of Pathology, Faculty of Medicine, Universiti Kebangsaan Malaysia, Jalan Yaacob Latif, Cheras, Kuala Lumpur
[3] Department of Obstetrics and Gynecology, Faculty of Medicine, Universiti Kebangsaan Malaysia, Jalan Yaacob Latif, Cheras, Kuala Lumpur
[4] Department of Physiology, Faculty of Medicine, Universiti Kebangsaan Malaysia, Jalan Raja Muda Abd Aziz, Kuala Lumpur
关键词
Ion AmpliSeq Cancer Hotspot Panel; Next generation sequencing; Personal Genome Machine (PGM™); Serous ovarian cancer;
D O I
10.1186/1756-0500-7-805
中图分类号
学科分类号
摘要
Background: High grade serous ovarian cancer is one of the poorly characterized malignancies. This study aimed to elucidate the mutational events in Malaysian patients with high grade serous ovarian cancer by performing targeted sequencing on 50 cancer hotspot genes. Results: Nine high grade serous ovarian carcinoma samples and ten normal ovarian tissues were obtained from Universiti Kebangsaan Malaysia Medical Center (UKMMC) and the Kajang Hospital. The Ion AmpliSeq Cancer Hotspot Panel v2 targeting "mutation-hotspot region" in 50 most common cancer-Associated genes was utilized. A total of 20 variants were identified in 12 genes. Eleven (55%) were silent alterations and nine (45%) were missense mutations. Six of the nine missense mutations were predicted to be deleterious while the other three have low or neutral protein impact. Eight genes were altered in both the tumor and normal groups (APC, EGFR, FGFR3, KDR, MET, PDGFRA, RET and SMO) while four genes (TP53, PIK3CA, STK11 and KIT) were exclusively altered in the tumor group. TP53 alterations were present in all the tumors but not in the normal group. Six deleterious mutations in TP53 (p.R175H, p.H193R, p.Y220C, p.Y163C, p.R282G and p.Y234H) were identified in eight serous ovarian carcinoma samples and none in the normal group. Conclusion: TP53 remains as the most frequently altered gene in high grade serous ovarian cancer and Ion Torrent Personal Genome Machine (PGM) in combination with Ion Ampliseq Cancer Hotspot Panel v2 were proven to be instrumental in identifying a wide range of genetic alterations simultaneously from a minute amount of DNA. However, larger series of validation targeting more genes are necessary in order to shed a light on the molecular events underlying pathogenesis of this cancer. © 2014 Ab Mutalib et al.
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