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首页> 外文期刊>The American journal of pathology. >MALDI Imaging Identifies Prognostic Seven-Protein Signature of Novel Tissue Markers in Intestinal-Type Gastric Cancer
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MALDI Imaging Identifies Prognostic Seven-Protein Signature of Novel Tissue Markers in Intestinal-Type Gastric Cancer

机译:MALDI成像可识别肠型胃癌中新型组织标志物的预后七蛋白特征。

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Proteomics-based approaches allow us to investigate the biology of cancer beyond genomic initiatives. We used histology-based matrix-assisted laser desorption/ionization (MALDI) imaging mass spectrometry to identify proteins that predict disease outcome in gastric cancer after surgical resection. A total of 181 intestinal-type primary resected gastric cancer tissues from two independent patient cohorts were analyzed. Protein profiles of the discovery cohort (n = 63) were directly obtained from tumor tissue sections by MALDI imaging. A seven-protein signature was associated with an unfavorable overall survival independent of major clinical covariates. The prognostic significance of three individual proteins identified (CRIP1, HNP-1, and S100-A6) was validated immunohistochemically on tissue microarrays of an independent validation cohort (n = 118). Whereas HNP-1 and S100-A6 were found to further subdivide early-stage (Union Internationale Contre le Cancer [UICC]–I) and late-stage (UICC II and III) cancer patients into different prognostic groups, CRIP1, a protein previously unknown in gastric cancer, was confirmed as a novel and independent prognostic factor for all patients in the validation cohort. The protein pattern described here serves as a new independent indicator of patient survival complementing the previously known clinical parameters in terms of prognostic relevance. These results show that this tissue-based proteomic approach may provide clinically relevant information that might be beneficial in improving risk stratification for gastric cancer patients.
机译:基于蛋白质组学的方法使我们能够研究基因组计划之外的癌症生物学。我们使用基于组织学的基质辅助激光解吸/电离(MALDI)成像质谱法来鉴定可预测手术切除后胃癌疾病预后的蛋白质。分析了来自两个独立患者队列的总共181例肠型原发性切除的胃癌组织。通过MALDI成像直接从肿瘤组织切片获得发现队列的蛋白质图谱(n = 63)。独立于主要临床协变量的七蛋白信号特征与总体生存不良相关。在独立验证队列的组织微阵列上以免疫组织化学方法验证了鉴定出的三种蛋白质(CRIP1,HNP-1和S100-A6)的预后意义(n = 118)。而发现HNP-1和S100-A6可以进一步将早期癌症(UICC)-I和晚期癌症(UICC II和III)细分为不同的预后组,CRIP1是一种先前的蛋白在验证队列中,所有患者均被证实是一种新颖且独立的预后因素,在胃癌中未知。在预后相关性方面,此处描述的蛋白质模式可作为患者生存的新独立指标,与先前已知的临床参数相辅相成。这些结果表明,这种基于组织的蛋白质组学方法可提供临床相关信息,可能有助于改善胃癌患者的风险分层。

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