Prognostic and putative predictive biomarkers of gastric cancer for personalized medicine.

Viktoria S Warneke, Hans-Michael Behrens, Jochen Haag, Katharina Balschun, Christine Böger, Thomas Becker, Matthias P A Ebert, Florian Lordick, Christoph Röcken
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引用次数: 50

Abstract

We investigated various phenotypic and genotypic biomarkers of gastric cancer (GC) testing the following hypotheses: are these biomarkers suitable for the identification of GC subtypes, are they of prognostic significance, and should any of these biomarkers be considered to tailor patient treatment in the future. The study cohort consisted of 482 patients. pTNM-stage was based on surgical pathologic examination. The Laurén and mucin phenotype was assessed. Helicobacter pylori and Epstein-Barr virus infections were documented. The following biomarkers were determined: BRAF, KRAS, NRAS, and PIK3CA genotype, microsatellite instability, mucin 1, mucin 2, mucin 5, and mucin 6, CD10, E-cadherin, β-catenin, and lysozyme. The histologic phenotype correlated with 10/13 (77%) clinicopathologic patient characteristics and 6/13 (46%) immunohistochemical/molecular biological biomarkers. Inversely, immunohistochemical biomarkers (mucin phenotype, E-cadherin, β-catenin, and lysozyme) were unsuitable for subclassification of GC. It showed too much overlap between the different subtypes. Among the genotypes, only microsatellite instability correlated with tumor type being more prevalent in intestinal and unclassified GCs. Patient survival correlated significantly with 8 (62%) clinicopathologic and 5 (36%) immunohistochemical/molecular biomarkers. Interestingly, in proximal GCs, KRAS mutation was associated with worse prognosis, as was persistent H. pylori infection in unclassified GCs. Mucin 2 (all patients, proximal GCs) and PIK3CA (exon 20; intestinal type GC) prognosticated independently patient survival. The biomarkers examined herein are unsuitable to aid histologic classification of GC. However, several of them show a correlation with either phenotype and/or prognosis and may be considered to tailor patient treatment in the future, such as KRAS, PIK3CA, MSI, and H. pylori status.

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胃癌个体化治疗的预后和推测的预测性生物标志物。
我们研究了胃癌(GC)的各种表型和基因型生物标志物,测试了以下假设:这些生物标志物是否适合胃癌亚型的鉴定,它们是否具有预后意义,以及将来是否应该考虑使用这些生物标志物来定制患者的治疗。该研究队列包括482名患者。ptnm分期以手术病理检查为依据。评估lauracimn和mucin表型。记录了幽门螺杆菌和eb病毒感染。检测以下生物标志物:BRAF、KRAS、NRAS和PIK3CA基因型、微卫星不稳定性、粘蛋白1、粘蛋白2、粘蛋白5和粘蛋白6、CD10、E-cadherin、β-catenin和溶菌酶。组织学表型与10/13(77%)患者临床病理特征和6/13(46%)免疫组织化学/分子生物学生物标志物相关。相反,免疫组织化学生物标志物(粘蛋白表型、E-cadherin、β-catenin和溶菌酶)不适合用于GC的亚分类。它显示不同亚型之间有太多的重叠。在基因型中,只有微卫星不稳定性与肿瘤类型相关,在肠道和未分类的GCs中更为普遍。患者生存与8项(62%)临床病理标志物和5项(36%)免疫组织化学/分子生物标志物显著相关。有趣的是,在近端GCs中,KRAS突变与较差的预后相关,在未分类的GCs中持续幽门螺杆菌感染也是如此。粘蛋白2(所有患者,近端GCs)和PIK3CA(外显子20;肠型GC)独立预测患者生存。本文所检查的生物标志物不适合用于帮助GC的组织学分类。然而,其中一些显示与表型和/或预后相关,并且可能被认为是未来患者治疗的量身定制,例如KRAS, PIK3CA, MSI和幽门螺杆菌状态。
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期刊介绍: Diagnostic Molecular Pathology focuses on providing clinical and academic pathologists with coverage of the latest molecular technologies, timely reviews of established techniques, and papers on the applications of these methods to all aspects of surgical pathology and laboratory medicine. It publishes original, peer-reviewed contributions on molecular probes for diagnosis, such as tumor suppressor genes, oncogenes, the polymerase chain reaction (PCR), and in situ hybridization. Articles demonstrate how these highly sensitive techniques can be applied for more accurate diagnosis.
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