西亚试剂：An Integrated Genome-Wide Approach to Discover Tumor-Specif

An Integrated Genome-Wide Approach to Discover Tumor-Specific Antigens as Potential Immunologic and Clinical Targets in Cancer

Qing-Wen Xu1, Wei Zhao1, Yue Wang8,9, Maureen A. Sartor11, Dong-Mei Han2, Jixin Deng10, Rakesh Ponnala8,9, Jiang-Ying Yang3, Qing-Yun Zhang3, Guo-Qing Liao4, Yi-Mei Qu4, Lu Li5, Fang-Fang Liu6, Hong-Mei Zhao7, Yan-Hui Yin1, Wei-Feng Chen1,†, Yu Zhang1, and Xiao-Song Wang8,9

Tumor-specific antigens (TSA) are central elements in the immune control of cancers. To systematically explore the TSA genome, we developed a computational technology called heterogeneous expression profile analysis (HEPA), which can identify genes relatively uniquely expressed in cancer cells in contrast to normal somatic tissues. Rating human genes by their HEPA score enriched for clinically useful TSA genes, nominating candidate targets whose tumor-specific expression was verified by reverse transcription PCR (RT-PCR). Coupled with HEPA, we designed a novel assay termed protein A/G–based reverse serological evaluation (PARSE) for quick detection of serum autoantibodies against an array of putative TSA genes. Remarkably, highly tumor-specific autoantibody responses against seven candidate targets were detected in 4% to 11% of patients, resulting in distinctive autoantibody signatures in lung and stomach cancers. Interrogation of a larger cohort of 149 patients and 123 healthy individuals validated the predictive value of the autoantibody signature for lung cancer. Together, our results establish an integrated technology to uncover a cancer-specific antigen genome offering a reservoir of novel immunologic and clinical targets.

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