Identifications of tentative pancreatic cancer-related antigens of expressed proteins derived from membrane and nuclei components of 4 pancreatic cancer cell lines by autoantibodiomics

胰腺癌是所有肿瘤中预后最差的肿瘤之一，5年生存率低于10%，占癌症死亡人数的第五位。在胰腺癌中，自身免疫也被证实可以对抗几种蛋白质，但尚不清楚为什么只有浸润性肿瘤类型的患者才会对癌症相关抗原产生体液反应。此时，我们应用自身抗体组学方法对胰腺癌相关抗原和抗体进行了鉴定，并检测了33份胰腺癌患者的血清样本，以鉴定针对四个典型的人胰腺癌细胞株表达的胞浆蛋白、核蛋白和膜蛋白的自身抗体。我们确定了6个候选生物标志物，包括MAP7结构域2、碳酸氢酶1、泛素样蛋白、丙酮酸激酶M1/M2、含有蛋白2的快激酶域和中心周围物质1。癌症患者血浆中抗上述6种蛋白抗体阳性率较高。我们应该建立检测这6个候选生物标志物的酶联免疫吸附试验系统，用于胰腺癌的筛查。

Pancreatic cancer has one of the poor prognoses of all neoplasm, with a 5-year survival rate of below 10%, accounting fifth largest number of cancer deaths. In pancreatic cancer, autoimmunity has been also identified against several proteins but it is not clear why only patients infiltrated with a particular tumor type develop a humoral response to cancer-associated antigens. At this time, we applied the autoantibodiomics to identify pancreatic cancer-related antigens and antibodies, and examined 33 sera samples of patients with pancreatic cancer to identify the autoantibodies against expressed cytosolic, nuclear and membrane proteins derived from four typical human pancreatic cancer cell lines. We identified 6 candidate biomarkers, such as MAP7 domain conaining 2, carbonic anhydrase 1, ubiquilin-like protein, pyruvate kinase M1/M2, FAST kinase domain containg protein2 and pericentriolar material 1 to detect the pancreatic cancer. The antibodies against to these 6 proteins were highly detected in plasma of the cancer patients. We should develop the ELISA system to detect these 6 candidate biomarkers for the screening of the pancreatic cancer.