ABSTRACT
Characterization of the colon cancer immunome and its autoantibody signature from differentially-reactive antigens (DIRAGs) could provide insights into aberrant cellular mechanisms or enriched networks associated with diseases. The purpose of this study was to characterize the antibody profile of plasma samples from 32 colorectal cancer (CRC) patients and 32 controls using proteins isolated from 15,417 human cDNA expression clones on microarrays. 671 unique DIRAGs were identified and 632 were more highly reactive in CRC samples. Bioinformatics analyses reveal that compared to control samples, the immunoproteomic IgG profiling of CRC samples is mainly associated with cell death, survival, and proliferation pathways, especially proteins involved in EIF2 and mTOR signaling. Ribosomal proteins (e.g., RPL7, RPL22, and RPL27A) and CRC-related genes such as APC, AXIN1, E2F4, MSH2, PMS2, and TP53 were highly enriched. In addition, differential pathways were observed between the CRC and control samples. Furthermore, 103 DIRAGs were reported in the SEREX antigen database, demonstrating our ability to identify known and new reactive antigens. We also found an overlap of 7 antigens with 48 "CRC genes." These data indicate that immunomics profiling on protein microarrays is able to reveal the complexity of immune responses in cancerous diseases and faithfully reflects the underlying pathology.
Subject(s)
Adult , Aged , Aged, 80 and over , Female , Humans , Male , Middle Aged , Biomarkers, Tumor , Genetics , Allergy and Immunology , Metabolism , Case-Control Studies , Colonic Neoplasms , Allergy and Immunology , Metabolism , Computational Biology , Methods , Computer Simulation , Gene Expression Profiling , Gene Expression Regulation, Neoplastic , Immunoglobulin G , Allergy and Immunology , Protein Array Analysis , MethodsABSTRACT
For the basic research on the traditional Chinese medicine(TCM), objective syndrome of traditional Chinese medicine and evaluation criteria of traditional Chinese medicine compounds are hardly to break though. While, the modern immunology points out that the body is a counterbalance state and immune imbalance is the root of sickness. The thinking mode of treating diseases in traditional Chinese medicine is also "balance", considering disease is the result of bias which present the imbalance of "Yin counters Yang", "exterior counters interior", "cold counters heat" and "weak counters strong". The Chinese herbal compound formula preparation was applied on disease therapy based on theory of Chinese medicine, which was confirmed by long period clinical application. It is composed of multi-compounds and has the characteristic of multi-targeting. Integrative medicine has spawned pan-immunomics, and the evaluation of immune function (immune balance) has become an important basis for diagnosis and treatment models of integrative medicine. In addition, balance is the core idea of whole-systemic conception of traditional Chinese medicine. Therefore, we speculate that immune balance under pan-immunomic can bridge the traditional Chinese medicine and modern integrative medicine and is the important basis for objective syndrome of traditional Chinese medicine and evaluation criteria of traditional Chinese medicine compounds. According to the bridging theory, we attempt to utilize informatics and statistical methods to construct an evaluation system for pharmacodynamics of traditional Chinese medicine based on its moderate regulation and the balanced adjustment of immunity under pan-immunomic, which further reveal the scientific essence of the whole-systemic view of traditional Chinese medicine. This research brings out a new valuable strategy and provides a theoretical basis for accelerating the transformation of traditional Chinese medicine, especially the exploitation of Chinese herbal compound formula, and constructing the new drug innovation and review system for traditional Chinese medicine. Besides as a reference for traditional Chinese medicine objective syndrome and pharmacodynamics of traditional Chinese medicine compounds, the evaluation system can screen the immunity of sub-health population also. With the continuous accumulation of clinical sample and data, the evaluation system will be more accurate and intelligent.