IgG responses to tissue-associated antigens as biomarkers of immunological treatment efficacy.

IgG responses to tissue-associated antigens as biomarkers of immunological treatment efficacy.
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IgG 对组织相关抗原的反应作为免疫治疗功效的生物标志物。

DOI:
10.1155/2011/454861
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发表时间:
2011
影响因子:
--
通讯作者:
McNeel,DouglasG
McNeel,DouglasG
中科院分区:
--
文献类型:
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作者:
Smith,HeathA;Maricque,BrettB;Eberhardt,John;Petersen,Benjamin;Gulley,JamesL;Schlom,Jeffrey;McNeel,DouglasG

文献摘要

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我们先前证明,对126种前列腺组织相关抗原的免疫球蛋白反应在前列腺癌患者中是常见的。在目前的报告中,我们质疑在前列腺癌定向免疫活性治疗后,对这个小组的免疫应答的变化是否可以用来衡量免疫反应和潜在的抗原扩散。前列腺癌患者的血清分别在雄激素剥夺疗法(n=34)、痘病毒疫苗(n=31)和DNA疫苗(n=21)治疗前和治疗后3个月获得。用噬菌体免疫印迹法检测对单个抗原的免疫应答的变化。使用机器学习的贝叶斯信念网络(ML-BBN)评估治疗3个月后的免疫球蛋白识别模式。我们发现,与疫苗疗法相比,雄激素剥夺后识别的抗原不同。虽然在接种疫苗的人群中临床应答者的数量很少,但我们证明了ML-BBN可以用于开发潜在的预测性模型。
We previously demonstrated that IgG responses to a panel of 126 prostate tissue‐associated antigens are common in patients with prostate cancer. In the current report we questioned whether changes in IgG responses to this panel might be used as a measure of immune response, and potentially antigen spread, following prostate cancer‐directed immune‐active therapies. Sera were obtained from prostate cancer patients prior to and three months following treatment with androgen deprivation therapy (n= 34), a poxviral vaccine (n= 31), and a DNA vaccine (n= 21). Changes in IgG responses to individual antigens were identified by phage immunoblot. Patterns of IgG recognition following three months of treatment were evaluated using a machine‐learned Bayesian Belief Network (ML‐BBN). We found that different antigens were recognized following androgen deprivation compared with vaccine therapies. While the number of clinical responders was low in the vaccine‐treated populations, we demonstrate that ML‐BBN can be used to develop potentially predictive models.