Xiao Ting, Ying Wantao, Li Lei, Hu Zhi, Ma Ying, Jiao Liyan, Ma Jinfang, Cai Yun, Lin Dongmei, Guo Suping, Han Naijun, Di Xuebing, Li Min, Zhang Dechao, Su Kai, Yuan Jinsong, Zheng Hongwei, Gao Meixia, He Jie, Shi Susheng, Li Wuju, Xu Ningzhi, Zhang Husheng, Liu Yan, Zhang Kaitai, Gao Yanning, Qian Xiaohong, Cheng Shujun
Department of Etiology and Carcinogenesis, Cancer Institute (Hospital), Peking Union Medical College and Chinese Academy of Medical Sciences, Beijing, China.
Mol Cell Proteomics. 2005 Oct;4(10):1480-6. doi: 10.1074/mcp.M500055-MCP200. Epub 2005 Jun 20.
Early stage lung cancer detection is the first step toward successful clinical therapy and increased patient survival. Clinicians monitor cancer progression by profiling tumor cell proteins in the blood plasma of afflicted patients. Blood plasma, however, is a difficult cancer protein assessment medium because it is rich in albumins and heterogeneous protein species. We report herein a method to detect the proteins released into the circulatory system by tumor cells. Initially we analyzed the protein components in the conditioned medium (CM) of lung cancer primary cell or organ cultures and in the adjacent normal bronchus using one-dimensional PAGE and nano-ESI-MS/MS. We identified 299 proteins involved in key cellular process such as cell growth, organogenesis, and signal transduction. We selected 13 interesting proteins from this list and analyzed them in 628 blood plasma samples using ELISA. We detected 11 of these 13 proteins in the plasma of lung cancer patients and non-patient controls. Our results showed that plasma matrix metalloproteinase 1 levels were elevated significantly in late stage lung cancer patients and that the plasma levels of 14-3-3 sigma, beta, and eta in the lung cancer patients were significantly lower than those in the control subjects. To our knowledge, this is the first time that fascin, ezrin, CD98, annexin A4, 14-3-3 sigma, 14-3-3 beta, and 14-3-3 eta proteins have been detected in human plasma by ELISA. The preliminary results showed that a combination of CD98, fascin, polymeric immunoglobulin receptor/secretory component and 14-3-3 eta had a higher sensitivity and specificity than any single marker. In conclusion, we report a method to detect proteins released into blood by lung cancer. This pilot approach may lead to the identification of novel protein markers in blood and provide a new method of identifying tumor biomarker profiles for guiding both early detection and therapy of human cancer.
早期肺癌检测是成功进行临床治疗并提高患者生存率的第一步。临床医生通过分析患病患者血浆中的肿瘤细胞蛋白来监测癌症进展。然而,血浆是一种难以用于癌症蛋白评估的介质,因为它富含白蛋白且蛋白质种类多样。我们在此报告一种检测肿瘤细胞释放到循环系统中的蛋白质的方法。最初,我们使用一维聚丙烯酰胺凝胶电泳(PAGE)和纳升电喷雾电离串联质谱(nano-ESI-MS/MS)分析了肺癌原代细胞或器官培养物的条件培养基(CM)以及相邻正常支气管中的蛋白质成分。我们鉴定出了299种参与细胞生长、器官发生和信号转导等关键细胞过程的蛋白质。我们从该列表中选择了13种有趣的蛋白质,并使用酶联免疫吸附测定(ELISA)在628份血浆样本中对其进行分析。我们在肺癌患者和非患者对照的血浆中检测到了这13种蛋白质中的11种。我们的结果表明,晚期肺癌患者血浆中的基质金属蛋白酶1水平显著升高,且肺癌患者血浆中14-3-3σ、β和η的水平显著低于对照组。据我们所知,这是首次通过ELISA在人血浆中检测到丝状肌动蛋白、埃兹蛋白、CD98、膜联蛋白A4、14-3-3σ、14-3-3β和14-3-3η蛋白。初步结果表明,CD98、丝状肌动蛋白、多聚免疫球蛋白受体/分泌成分和14-3-3η的组合比任何单一标志物具有更高的敏感性和特异性。总之,我们报告了一种检测肺癌释放到血液中的蛋白质的方法。这种初步方法可能会导致在血液中鉴定出新的蛋白质标志物,并提供一种识别肿瘤生物标志物谱的新方法,以指导人类癌症的早期检测和治疗。