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临床下一代测序成功应用于肺和胰腺肿瘤的细针抽吸。

Clinical next-generation sequencing successfully applied to fine-needle aspirations of pulmonary and pancreatic neoplasms.

机构信息

Foundation Medicine, Inc., Cambridge, Massachusetts.

出版信息

Cancer Cytopathol. 2013 Dec;121(12):688-94. doi: 10.1002/cncy.21338. Epub 2013 Jul 24.

Abstract

BACKGROUND

Next-generation sequencing was performed on pulmonary and pancreatic fine-needle aspirations (FNAs) and on paired FNAs and resected primary tumors from the same patient.

METHODS

DNA was isolated in formalin-fixed, paraffin-embedded cell blocks from 16 pulmonary FNAs, 23 pancreatic FNAs, and 5 resected pancreatic primary tumors. Next-generation sequencing was performed for 4561 exons of 287 cancer-related genes and for 47 introns of 19 genes on indexed, adaptor-ligated, hybridization-captured libraries using a proprietary sequencing system (the Illumina HiSeq 2000).

RESULTS

Genomic profiles were generated successfully from 16 of 16 (100%) pulmonary FNAs, which included 14 nonsmall cell lung cancers (NSCLCs) and 2 small cell lung cancers (SCLCs). The NSCLC group included 6 adenocarcinomas, 5 squamous cell carcinomas, and 3 NSCLCs not otherwise specified. Genomic profiles were successfully obtained from 23 of 23 (100%) pancreatic FNAs and from 5 of 5 (100%) matched pancreatic primary tumors, which included 17 ductal adenocarcinomas, 3 mucinous adenocarcinomas, 2 adenocarcinomas NOS, and 1 neuroendocrine tumor. Eighty-one genomic alterations were identified in the 16 pulmonary FNAs (average, 5.1 genomic alterations per patient); and the most common genomic alterations were TP53, RB1, SOX2, PIK3CA, and KRAS. Eighty-seven genomic alterations were identified in the 23 pancreatic tumor FNAs (average, 3.8 genomic alterations per patient); and the most common genomic alterations were KRAS, TP53, CDKN2A/B, SMAD4, and PTEN. Among the pancreatic tumors, there was 100% concordance of 20 genomic alterations that were identified in 5 patient-matched FNA and surgical primary tumor pairs.

CONCLUSIONS

The authors were able to perform next-generation sequencing reliably on FNAs of pulmonary and pancreatic tumors, and the genomic alterations discovered correlated well with those identified in matched resected pancreatic tumors.

摘要

背景

对来自同一患者的肺部和胰腺细针抽吸物(FNA)以及配对的 FNA 和切除的原发性肿瘤进行了下一代测序。

方法

从 16 例肺部 FNA、23 例胰腺 FNA 和 5 例切除的胰腺原发性肿瘤的福尔马林固定、石蜡包埋细胞块中分离 DNA。对 287 个癌症相关基因的 4561 个外显子和 19 个基因的 47 个内含子进行了下一代测序,使用专有的测序系统(Illumina HiSeq 2000)对索引、衔接子连接、杂交捕获文库进行了测序。

结果

成功地从 16 例(100%)肺部 FNA 中生成了基因组图谱,其中包括 14 例非小细胞肺癌(NSCLC)和 2 例小细胞肺癌(SCLC)。NSCLC 组包括 6 例腺癌、5 例鳞状细胞癌和 3 例非特异性 NSCLC。成功地从 23 例(100%)胰腺 FNA 和 5 例(100%)匹配的胰腺原发性肿瘤中获得了基因组图谱,其中包括 17 例导管腺癌、3 例黏液腺癌、2 例非特异性腺癌和 1 例神经内分泌肿瘤。在 16 例肺部 FNA 中发现了 81 个基因组改变(平均每位患者 5.1 个基因组改变);最常见的基因组改变是 TP53、RB1、SOX2、PIK3CA 和 KRAS。在 23 例胰腺肿瘤 FNA 中发现了 87 个基因组改变(平均每位患者 3.8 个基因组改变);最常见的基因组改变是 KRAS、TP53、CDKN2A/B、SMAD4 和 PTEN。在胰腺肿瘤中,在 5 例患者匹配的 FNA 和手术原发性肿瘤对中发现了 100%一致性的 20 个基因组改变。

结论

作者能够可靠地对肺部和胰腺肿瘤的 FNA 进行下一代测序,并且发现的基因组改变与匹配的切除胰腺肿瘤中发现的改变很好地相关。

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