Gyurján István, Rosskopf Sandra, Coronell Johana A Luna, Muhr Daniela, Singer Christian, Weinhäusel Andreas
Austrian Institute of Technology AIT, Center for Health & Environment, Molecular Diagnostics Unit, Vienna, Austria.
Department of Obstetrics and Gynecology, Medical University of Vienna, Vienna, Austria.
Oncotarget. 2019 May 28;10(37):3491-3505. doi: 10.18632/oncotarget.26834.
Breast cancer is the most frequent and one of the most fatal malignancies among women. Within the concept of personalized medicine, molecular characterization of tumors is usually performed by analyzing somatic mutations, RNA gene expression signatures or the proteome by mass-spectrometry. Alternatively, the immunological fingerprint of the patients can be analyzed by protein microarrays, which is able to provide another layer of molecular pathological information without invasive intervention. We have investigated the immune signature of breast cancer patients and compared them with healthy controls, using protein microarray-based IgG profiling. The identified differentially reactive antigens (n=517) were further evaluated by means of various pathway analysis tools. Our results indicate that the immune signature of breast cancer patients shows a clear distinction from healthy individuals characterized by differentially reactive antigens involved in known disease relevant signaling pathways, such as VEGF, AKT/PI3K/mTOR or c-KIT, which is in close agreement with the findings from RNA-based expression profiles. Differential antigenic properties between breast cancer patients and healthy individual classes can be defined by serum-IgG profiling on protein microarrays. These immunome profiles provide an additional layer of molecular pathological information, which has the potential to refine and complete the systems biological map of neoplastic disease.
乳腺癌是女性中最常见且最致命的恶性肿瘤之一。在个性化医疗的概念中,肿瘤的分子特征通常通过分析体细胞突变、RNA基因表达特征或通过质谱分析蛋白质组来进行。另外,患者的免疫指纹可以通过蛋白质微阵列进行分析,这能够在无侵入性干预的情况下提供另一层面的分子病理信息。我们使用基于蛋白质微阵列的IgG分析方法,研究了乳腺癌患者的免疫特征,并将其与健康对照进行比较。通过各种通路分析工具对鉴定出的差异反应性抗原(n = 517)进行了进一步评估。我们的结果表明,乳腺癌患者的免疫特征与健康个体有明显区别,其特征在于参与已知疾病相关信号通路(如VEGF、AKT/PI3K/mTOR或c-KIT)的差异反应性抗原,这与基于RNA的表达谱结果密切一致。乳腺癌患者和健康个体类别之间的差异抗原特性可以通过蛋白质微阵列上的血清IgG分析来定义。这些免疫组图谱提供了另一层面的分子病理信息,有可能完善和完成肿瘤疾病的系统生物学图谱。