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Protein Profiling Gastric Cancer and Neighboring Control Tissues Using High-Content Antibody Microarrays

机译:使用高内涵抗体微阵列分析胃癌和邻近组织的蛋白质

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摘要

In this study, protein profiling was performed on gastric cancer tissue samples in order to identify proteins that could be utilized for an effective diagnosis of this highly heterogeneous disease and as targets for therapeutic approaches. To this end, 16 pairs of postoperative gastric adenocarcinomas and adjacent non-cancerous control tissues were analyzed on microarrays that contain 813 antibodies targeting 724 proteins. Only 17 proteins were found to be differentially regulated, with much fewer molecules than the numbers usually identified in studies comparing tumor to healthy control tissues. Insulin-like growth factor-binding protein 7 (IGFBP7), S100 calcium binding protein A9 (S100A9), interleukin-10 (IL‐10) and mucin 6 (MUC6) exhibited the most profound variations. For an evaluation of the proteins’ capacity for discriminating gastric cancer, a Receiver Operating Characteristic curve analysis was performed, yielding an accuracy (area under the curve) value of 89.2% for distinguishing tumor from non-tumorous tissue. For confirmation, immunohistological analyses were done on tissue slices prepared from another cohort of patients with gastric cancer. The utility of the 17 marker proteins, and particularly the four molecules with the highest specificity for gastric adenocarcinoma, is discussed for them to act as candidates for diagnosis, even in serum, and targets for therapeutic approaches.
机译:在这项研究中,对胃癌组织样品进行了蛋白质谱分析,以鉴定可用于有效诊断这种高度异质性疾病并作为治疗方法靶点的蛋白质。为此,在微阵列上分析了16对术后胃腺癌和相邻的非癌性对照组织,这些微阵列包含针对724种蛋白质的813种抗体。发现只有17种蛋白质受到差异调节,其分子比将肿瘤与健康对照组织进行比较的研究中通常鉴定的数量少得多。胰岛素样生长因子结合蛋白7(IGFBP7),S100钙结合蛋白A9(S100A9),白介素10(IL-10)和粘蛋白6(MUC6)表现出最深刻的变化。为了评估蛋白质区分胃癌的能力,进行了受试者工作特征曲线分析,得出区分​​肿瘤和非肿瘤组织的准确性(曲线下面积)值为89.2%。为了证实这一点,对另一组胃癌患者制备的组织切片进行了免疫组织学分析。讨论了17种标记蛋白,尤其是对胃腺癌具有最高特异性的4种分子的实用性,以使其用作诊断的候选物(甚至在血清中)和治疗方法的靶标。

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