Ab Mutalib Nurul-Syakima, Syafruddin Saiful Effendi, Md Zain Reena Rahayu, Mohd Dali Ahmad Zailani Hatta, Mohd Yunos Ryia Illani, Saidin Sazuita, Jamal Rahman, Mokhtar Norfilza M
UKM Medical Molecular Biology Institute (UMBI), Universiti Kebangsaan Malaysia, Jalan Yaacob Latif, 56000 Cheras, Kuala Lumpur, Malaysia.
BMC Res Notes. 2014 Nov 17;7:805. doi: 10.1186/1756-0500-7-805.
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.
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.
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.
高级别浆液性卵巢癌是特征描述较少的恶性肿瘤之一。本研究旨在通过对50个癌症热点基因进行靶向测序,阐明马来西亚高级别浆液性卵巢癌患者的突变事件。
从马来西亚国民大学医学中心(UKMMC)和加影医院获取了9份高级别浆液性卵巢癌样本和10份正常卵巢组织。使用了靶向50个最常见癌症相关基因中“突变热点区域”的Ion AmpliSeq™癌症热点Panel v2。在12个基因中总共鉴定出20个变体。其中11个(55%)为沉默改变,9个(45%)为错义突变。9个错义突变中有6个预计具有有害性,另外3个对蛋白质的影响较低或为中性。肿瘤组和正常组中均有8个基因发生改变(APC、EGFR、FGFR3、KDR、MET、PDGFRA、RET和SMO),而肿瘤组中仅有4个基因(TP53、PIK3CA、STK11和KIT)发生改变。所有肿瘤中均存在TP53改变,而正常组中未出现。在8份浆液性卵巢癌样本中鉴定出TP53的6个有害突变(p.R175H、p.H193R、p.Y220C、p.Y163C、p.R282G和p.Y234H),正常组中未发现。
TP53仍然是高级别浆液性卵巢癌中最常发生改变的基因,并且已证明Ion Torrent个人基因组机器(PGM)与Ion Ampliseq™癌症热点Panel v2相结合有助于从微量DNA中同时鉴定出广泛的基因改变。然而,需要进行更大规模的针对更多基因的验证研究,以便阐明该癌症发病机制背后的分子事件。