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Han Y, Liu X, Wang Y, Wu X, Guan Y, Li H, Chen X, Zhou B, Yuan Q, Ou Y, Wu R, Huang W, Wang Y, Zhang M, Zhang Y, Zhu D, Zhu H, Yang L, Yi X, Huang C, Huang J. Identification of characteristic TRB V usage in HBV-associated HCC by using differential expression profiling analysis. Oncoimmunology 2015; 4:e1021537. [PMID: 26405574 DOI: 10.1080/2162402x.2015.1021537] [Citation(s) in RCA: 27] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/05/2015] [Revised: 02/13/2015] [Accepted: 02/14/2015] [Indexed: 12/14/2022] Open
Abstract
Liver cancer is one of the most common cancers worldwide. CDR3 sequencing-based immune repertoire can be closely associated with cancer prognosis and development. Identifying the specific interaction between the TCR and cellular antigens is important for developing novel immunotherapeutic approaches for the treatment of cancer. The rearranged TCRβ loci amplified using Vβ- and Jβ-specific primers by multi-PCR and sequenced using high-throughput sequencing (HTS) in liver cancers were compared with those of T cells from healthy adult peripheral blood and from adjacent liver tissue. The T-cell repertoires within each tumor show strong similarity to one another but are distinct from those of the circulating T-cell repertoire. In addition, our results demonstrate that there are significant differences in the T-cell repertoires of HCC (hepatocellular carcinoma), ICC (intrahepatic cholangiocarcinoma), and MHC (mixed hepatocellular and cholangiocellular carcinoma). Furthermore, we found that the highly expanded clone (HEC) ratio in blood samples from liver cancer patients differed significantly from those in the blood of healthy adults and hepatitis patients (p < 0.001). The above results suggest that comparison of the T-cell repertoires of tissue and blood could be used to distinguish liver cancer patients from healthy adults and from hepatitis patients. In the future, the diversity of CDR3 sequences in liver cancer may prove to be a useful and novel biomarker for detecting aggressive tumors with high invasive or metastatic capacity.
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Affiliation(s)
- Yingxin Han
- Key Laboratory of Systems Biomedicine (Ministry of Education) and Collaborative Innovation Center of Systems Biomedicine; Shanghai Center for Systems Biomedicine; Shanghai Jiao Tong University; Shanghai, China ; Binhai Genomics Institute; BGI-Tianjin ; Tianjin, China ; Tianjin Translational Genomics Center; BGI-Tianjin ; Tianjin, China
| | - Xing Liu
- Key Laboratory of Systems Biomedicine (Ministry of Education) and Collaborative Innovation Center of Systems Biomedicine; Shanghai Center for Systems Biomedicine; Shanghai Jiao Tong University; Shanghai, China
| | - Yuqi Wang
- Binhai Genomics Institute; BGI-Tianjin ; Tianjin, China ; Tianjin Translational Genomics Center; BGI-Tianjin ; Tianjin, China
| | - Xiaolei Wu
- Binhai Genomics Institute; BGI-Tianjin ; Tianjin, China ; Tianjin Translational Genomics Center; BGI-Tianjin ; Tianjin, China
| | - Yanfang Guan
- Binhai Genomics Institute; BGI-Tianjin ; Tianjin, China ; Tianjin Translational Genomics Center; BGI-Tianjin ; Tianjin, China
| | - Hongmei Li
- Binhai Genomics Institute; BGI-Tianjin ; Tianjin, China ; Tianjin Translational Genomics Center; BGI-Tianjin ; Tianjin, China
| | - Xinchun Chen
- Shenzhen Key Lab. of Infection and Immunity; Shenzhen Third People's Hospital; Guangdong Medical college ; Shenzhen, China
| | - Boping Zhou
- Shenzhen Key Lab. of Infection and Immunity; Shenzhen Third People's Hospital; Guangdong Medical college ; Shenzhen, China
| | - Qing Yuan
- Key Laboratory of Systems Biomedicine (Ministry of Education) and Collaborative Innovation Center of Systems Biomedicine; Shanghai Center for Systems Biomedicine; Shanghai Jiao Tong University; Shanghai, China
| | - Ying Ou
- Key Laboratory of Systems Biomedicine (Ministry of Education) and Collaborative Innovation Center of Systems Biomedicine; Shanghai Center for Systems Biomedicine; Shanghai Jiao Tong University; Shanghai, China
| | - Renhua Wu
- Binhai Genomics Institute; BGI-Tianjin ; Tianjin, China ; Tianjin Translational Genomics Center; BGI-Tianjin ; Tianjin, China
| | - Wanqiu Huang
- Tongji Medical College; Huazhong University of Science and Technology ; Wuhan, China
| | - Yun Wang
- Key Laboratory of Systems Biomedicine (Ministry of Education) and Collaborative Innovation Center of Systems Biomedicine; Shanghai Center for Systems Biomedicine; Shanghai Jiao Tong University; Shanghai, China
| | - Ming Zhang
- Binhai Genomics Institute; BGI-Tianjin ; Tianjin, China ; Tianjin Translational Genomics Center; BGI-Tianjin ; Tianjin, China
| | - Yinxin Zhang
- Binhai Genomics Institute; BGI-Tianjin ; Tianjin, China ; Tianjin Translational Genomics Center; BGI-Tianjin ; Tianjin, China
| | - Dongxing Zhu
- Binhai Genomics Institute; BGI-Tianjin ; Tianjin, China ; Tianjin Translational Genomics Center; BGI-Tianjin ; Tianjin, China
| | - Hongmei Zhu
- Binhai Genomics Institute; BGI-Tianjin ; Tianjin, China ; Tianjin Translational Genomics Center; BGI-Tianjin ; Tianjin, China
| | - Ling Yang
- Binhai Genomics Institute; BGI-Tianjin ; Tianjin, China ; Tianjin Translational Genomics Center; BGI-Tianjin ; Tianjin, China
| | - Xin Yi
- Binhai Genomics Institute; BGI-Tianjin ; Tianjin, China ; Tianjin Translational Genomics Center; BGI-Tianjin ; Tianjin, China ; BGI-Shenzhen ; Shenzhen, China ; Guangzhou Key Laboratory of Cancer Trans-Omics Research (GZ2012, NO348); BGI-Guangzhou , Guangzhou, China
| | - Chen Huang
- Department of Nephrology; Xijing Hospital; Fourth Military Medical University ; Xi An, China
| | - Jian Huang
- Key Laboratory of Systems Biomedicine (Ministry of Education) and Collaborative Innovation Center of Systems Biomedicine; Shanghai Center for Systems Biomedicine; Shanghai Jiao Tong University; Shanghai, China
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Seyedin SN, Tang C, Welsh JW. Author's view: radiation and immunotherapy as systemic therapy for solid tumors. Oncoimmunology 2015; 4:e986402. [PMID: 25949899 DOI: 10.4161/2162402x.2014.986402] [Citation(s) in RCA: 8] [Impact Index Per Article: 0.9] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/05/2014] [Accepted: 11/07/2014] [Indexed: 12/28/2022] Open
Abstract
The ability of tumors to evade detection by the immune system via inducing immunosuppression prompted the therapeutic development of immune checkpoint inhibitors. In our recent review, we discussed findings from preclinical and clinical investigations of these agents utilized in combination with radiation inducing abscopal (systemic) antitumor effects.
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Affiliation(s)
- Steven N Seyedin
- Department of Radiation Oncology; The University of Texas MD Anderson Cancer Center; Houston, TX USA
| | - Chad Tang
- Department of Radiation Oncology; The University of Texas MD Anderson Cancer Center; Houston, TX USA
| | - James W Welsh
- Department of Radiation Oncology; The University of Texas MD Anderson Cancer Center; Houston, TX USA
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Richer J, Johnston SA, Stafford P. Epitope identification from fixed-complexity random-sequence peptide microarrays. Mol Cell Proteomics 2014; 14:136-47. [PMID: 25368412 DOI: 10.1074/mcp.m114.043513] [Citation(s) in RCA: 21] [Impact Index Per Article: 2.1] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/25/2022] Open
Abstract
Antibodies play an important role in modern science and medicine. They are essential in many biological assays and have emerged as an important class of therapeutics. Unfortunately, current methods for mapping antibody epitopes require costly synthesis or enrichment steps, and no low-cost universal platform exists. In order to address this, we tested a random-sequence peptide microarray consisting of over 330,000 unique peptide sequences sampling 83% of all possible tetramers and 27% of pentamers. It is a single, unbiased platform that can be used in many different types of tests, it does not rely on informatic selection of peptides for a particular proteome, and it does not require iterative rounds of selection. In order to optimize the platform, we developed an algorithm that considers the significance of k-length peptide subsequences (k-mers) within selected peptides that come from the microarray. We tested eight monoclonal antibodies and seven infectious disease cohorts. The method correctly identified five of the eight monoclonal epitopes and identified both reported and unreported epitope candidates in the infectious disease cohorts. This algorithm could greatly enhance the utility of random-sequence peptide microarrays by enabling rapid epitope mapping and antigen identification.
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Affiliation(s)
- Josh Richer
- From *Arizona State University, Tempe, Arizona 85287
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Sheinerman KS, Umansky S. Universal screening test based on analysis of circulating organ-enriched microRNAs: a novel approach to diagnostic screening. Expert Rev Mol Diagn 2014; 15:329-38. [PMID: 25354444 DOI: 10.1586/14737159.2014.973858] [Citation(s) in RCA: 5] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/24/2022]
Abstract
Early disease detection leads to more effective and cost-efficient treatment. It is especially important for cancer and neurodegenerative diseases, because progression of these pathologies leads to significant and frequently irreversible changes in underlying pathophysiological processes. At the same time, the development of specific screening tests for detection of each of the hundreds of human pathologies in asymptomatic stage may be impractical. Here, we discuss a recently proposed concept: the development of minimally invasive Universal Screening Test (UST) based on analysis of organ-enriched microRNAs in plasma and other bodily fluids. The UST is designed to detect the presence of a pathology in particular organ systems, organs, tissues or cell types without diagnosing a specific disease. Once the pathology is detected, more specific, and if necessary invasive and expensive, tests can be administered to precisely define the nature of the disease. Here, we discuss recent studies and analyze the data supporting the UST approach.
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