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利用全转录组测序和单核苷酸多态性阵列进行拷贝数分析对胰腺导管腺癌进行特征分析。

Characterization of pancreatic ductal adenocarcinoma using whole transcriptome sequencing and copy number analysis by single-nucleotide polymorphism array.

作者信息

Di Marco Mariacristina, Astolfi Annalisa, Grassi Elisa, Vecchiarelli Silvia, Macchini Marina, Indio Valentina, Casadei Riccardo, Ricci Claudio, D'Ambra Marielda, Taffurelli Giovanni, Serra Carla, Ercolani Giorgio, Santini Donatella, D'Errico Antonia, Pinna Antonio Daniele, Minni Francesco, Durante Sandra, Martella Laura Raffaella, Biasco Guido

机构信息

Department of Experimental, Diagnostic and Specialty Medicine, Sant'Orsola‑Malpighi Hospital, Bologna I‑40100, Italy.

Interdepartmental Center of Cancer Research, Sant'Orsola‑Malpighi Hospital, Bologna I‑40100, Italy.

出版信息

Mol Med Rep. 2015 Nov;12(5):7479-84. doi: 10.3892/mmr.2015.4344. Epub 2015 Sep 22.

DOI:10.3892/mmr.2015.4344
PMID:26397140
Abstract

The aim of the current study was to implement whole transcriptome massively parallel sequencing (RNASeq) and copy number analysis to investigate the molecular biology of pancreatic ductal adenocarcinoma (PDAC). Samples from 16 patients with PDAC were collected by ultrasound‑guided biopsy or from surgical specimens for DNA and RNA extraction. All samples were analyzed by RNASeq performed at 75x2 base pairs on a HiScanSQ Illumina platform. Single‑nucleotide variants (SNVs) were detected with SNVMix and filtered on dbSNP, 1000 Genomes and Cosmic. Non‑synonymous SNVs were analyzed with SNPs&GO and PROVEAN. A total of 13 samples were analyzed by high resolution copy number analysis on an Affymetrix SNP array 6.0. RNAseq resulted in an average of 264 coding non‑synonymous novel SNVs (ranging from 146‑374) and 16 novel insertions or deletions (In/Dels) (ranging from 6‑24) for each sample, of which a mean of 11.2% were disease‑associated and somatic events, while 34.7% were frameshift somatic In/Dels. From this analysis, alterations in the known oncogenes associated with PDAC were observed, including Kirsten rat sarcoma viral oncogene homolog (KRAS) mutations (93.7%) and inactivation of cyclin‑dependent kinase inhibitor 2A (CDKN2A) (50%), mothers against decapentaplegic homolog 4 (SMAD4) (50%), and tumor protein 53 (TP53) (56%). One case that was negative for KRAS exhibited a G13D neuroblastoma RAS viral oncogene homolog mutation. In addition, gene fusions were detected in 10 samples for a total of 23 different intra‑ or inter‑chromosomal rearrangements, however, a recurrent fusion transcript remains to be identified. SNP arrays identified macroscopic and cryptic cytogenetic alterations in 85% of patients. Gains were observed in the chromosome arms 6p, 12p, 18q and 19q which contain KRAS, GATA binding protein 6, protein kinase B and cyclin D3. Deletions were identified on chromosome arms 1p, 9p, 6p, 18q, 10q, 15q, 17p, 21q and 19q which involve TP53, CDKN2A/B, SMAD4, runt‑related transcription factor 2, AT‑rich interactive domain‑containing protein 1A, phosphatase and tensin homolog and serine/threonine kinase 11. In conclusion, genetic alterations in PDCA were observed to involve numerous pathways including cell migration, transforming growth factor‑β signaling, apoptosis, cell proliferation and DNA damage repair. However, signaling alterations were not observed in all tumors and key mutations appeared to differ between PDAC cases.

摘要

本研究的目的是实施全转录组大规模平行测序(RNA测序)和拷贝数分析,以研究胰腺导管腺癌(PDAC)的分子生物学。通过超声引导活检或手术标本收集16例PDAC患者的样本,用于DNA和RNA提取。所有样本在Illumina HiScanSQ平台上进行75×2碱基对的RNA测序分析。使用SNVMix检测单核苷酸变异(SNV),并在dbSNP、千人基因组计划和宇宙数据库中进行筛选。使用SNPs&GO和PROVEAN分析非同义SNV。对13个样本在Affymetrix SNP 6.0芯片上进行高分辨率拷贝数分析。RNA测序结果显示,每个样本平均有264个编码非同义新SNV(范围为146 - 374个)和16个新插入或缺失(In/Dels)(范围为6 - 24个),其中平均11.2%为疾病相关的体细胞事件,而34.7%为移码体细胞In/Dels。通过该分析,观察到与PDAC相关的已知致癌基因的改变,包括 Kirsten大鼠肉瘤病毒癌基因同源物(KRAS)突变(93.7%)以及细胞周期蛋白依赖性激酶抑制剂2A(CDKN2A)失活(50%)、母亲对五肢瘫同源物4(SMAD4)(50%)和肿瘤蛋白53(TP53)(56%)。1例KRAS阴性病例表现出G13D神经母细胞瘤RAS病毒癌基因同源物突变。此外,在10个样本中检测到基因融合,共有23种不同的染色体内或染色体间重排,然而,仍有待鉴定出复发性融合转录本。SNP芯片在85%的患者中鉴定出宏观和隐匿性细胞遗传学改变。在包含KRAS、GATA结合蛋白6、蛋白激酶B和细胞周期蛋白D3的6p、12p、18q和19q染色体臂上观察到增益。在涉及TP53、CDKN2A/B、SMAD4、 runt相关转录因子2、富含AT交互结构域蛋白1A、磷酸酶和张力蛋白同源物以及丝氨酸/苏氨酸激酶11的1p、9p、6p、18q、10q、15q、17p、21q和19q染色体臂上鉴定出缺失。总之,观察到PDCA中的基因改变涉及众多途径,包括细胞迁移、转化生长因子-β信号传导、细胞凋亡、细胞增殖和DNA损伤修复。然而,并非所有肿瘤都观察到信号改变,并且关键突变在PDAC病例之间似乎有所不同。

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