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                Tianjin Cancer Institute<span>></span>Research<span>></span>Our Researchers
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                            Prof. Xiangchun Li
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                            Professor of Department of Public Laboratory
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                    <h3>Educaiton</h3> 2006.9-2010.7 Bachelor of Engineering in Bioinformation Technology, Huazhong University of Science and Technology, <br> 2012.8~2016.12 Ph.D in Medical Sciences, Chinese University of Hong Kong, Professional Experiences:
                    <br> 2010.7~2012.8 NGS data analyst, Beijing Genomics Institute, Shenzhen, 2017.2~present Professor, Tianjin Cancer Institute, Tianjin Medical University Cancer Institute and Hospital,
                    <h3>Research Focus</h3>
                    Our research focuses on characterizing mutational landscape of human gastrointestinal cancer, elucidating the association between mutational footprints and environmental factors, identifying biomarkers with translational significance in immunotherapy
                    and early cancer diagnosis, and interpreting medical imaging data using deep learning algorithms. Through bioinformatics analyses, we identified new driver genes underlying the development of gastrointestinal cancer, and shed new lights
                    on genetic markers that are potentially clinically actionable. By applying deep learning algorithm to analyze large-scale sonographic imaging data, we developed a deep learning model that could augment radiologists’ ability in thyroid
                    cancer diagnosis. We have published more than 20 peer-reviewed articles in international journals, including Lancet Oncology, JAMA Oncology, and Annals of Oncology etc. <br>
                    <h3>Selected Publications</h3>
                    1. Li X#, Zhang S#, Zhang Q#, Wei X#, Pan Y, Zhao J, Xin X, Qin C, Wang X, Li J, Yang F, Zhao Y, Yang M, Wang Q, Zheng Z, Zheng X, Yang X, Whitlow CT, Gurcan MN, Zhang L, Wang X, Pasche BC, Gao M, Zhang W*, Chen K*. Diagnosis of thyroid cancer using deep
                    convolutional neural network models applied to sonographic images: a retrospective, multicohort, diagnostic study. Lancet Oncol. 2018 Dec 21;. doi: 10.1016/S1470-2045(18)30762-9. [Epub ahead of print] PubMed PMID: 30583848. <br>                    2. Li X#, Pasche B, Zhang W*, Chen K*. Association of MUC16 Mutation With Tumor Mutation Load and Outcomes in Patients With Gastric Cancer. JAMA Oncol. 2018 Dec 1;4(12):1691-1698. doi: 10.1001/jamaoncol.2018.2805. PubMed PMID: 30098163.
                    3. Li X#, Wang MY, Yang M, Dai HJ, Zhang BF, Wang W, Chu XL, Wang X, Zheng H, Niu RF, Zhang W*, Chen KX*. A mutational signature associated with alcohol consumption and prognostically significantly mutated driver genes in esophageal
                    squamous cell carcinoma. Ann Oncol. 2018 Apr 1;29(4):938-944. doi: 10.1093/annonc/mdy011. PubMed PMID: 29351612; PubMed Central PMCID: PMC5913594. <br> 4. Chen K#, Yang D#, Li X#, Sun B, Song F, Cao W, Brat DJ, Gao Z, Li H, Liang H,
                    Zhao Y, Zheng H, Li M, Buckner J, Patterson SD, Ye X, Reinhard C, Bhathena A, Joshi D, Mischel PS, Croce CM, Wang YM, Raghavakaimal S, Li H, Lu X, Pan Y, Chang H, Ba S, Luo L, Cavenee WK*, Zhang W*, Hao X*. Mutational landscape of
                    gastric adenocarcinoma in Chinese: implications for prognosis and therapy. Proc Natl Acad Sci U S A. 2015 Jan 27;112(4):1107-12. doi: 10.1073/pnas.1422640112. Epub 2015 Jan 12. PubMed PMID: 25583476; PubMed Central PMCID: PMC4313862.
                    <br> 5. Song Y#, Li L#, Ou Y#, Gao Z#, Li E#, Li X#, Zhang W, Wang J, Xu L, Zhou Y, Ma X, Liu L, Zhao Z, Huang X, Fan J, Dong L, Chen G, Ma L, Yang J, Chen L, He M, Li M, Zhuang X, Huang K, Qiu K, Yin G, Guo G, Feng Q, Chen P, Wu Z,
                    Wu J, Ma L, Zhao J, Luo L, Fu M, Xu B, Chen B, Li Y, Tong T, Wang M, Liu Z, Lin D, Zhang X, Yang H, Wang J, Zhan Q*. <br> Identification of genomic alterations in oesophageal squamous cell cancer. Nature. 2014 May 1;509(7498):91-5.
                    doi: 10.1038/nature13176. Epub 2014 Mar 16. PubMed PMID: 24670651. 6. Wang M#, Yang C#, Zhang X, Li X*. Characterizing genomic differences of human cancer stratified by the TP53 mutation status. Mol Genet Genomics. 2018 Jun;293(3):737-746.
                    doi: 10.1007/s00438-018-1416-7. Epub 2018 Jan 12. PubMed PMID: 29330617.
                    <br> 7. Ho J#, Li X#, Zhang L#, Liang Y, Hu W, Yau JCW, Chan H, Gin T, Chan MTV*, Tse G*, Wu WKK*. Translational genomics in pancreatic ductal adenocarcinoma: A review with re-analysis of TCGA dataset. Semin Cancer Biol. 2018 Apr 25;.
                    doi: 10.1016/j.semcancer.2018.04.004. [Epub ahead of print] Review. PubMed PMID: 29705685. 8. Wang X#, Li X#, Zhang L#, Wong SH, Wang MHT, Tse G, Dai RZW, Nakatsu G, Coker OO, Chen Z, Ko H, Chan JYK, Liu T, Cheng CHK, Cheng ASL, To
                    KF, Plewczynski D, Sung JJY, Yu J, Gin T*, Chan MTV*, Wu WKK*. Oncogenes expand during evolution to withstand somatic amplification. Ann Oncol. 2018 Nov 1;29(11):2254-2260. doi: 10.1093/annonc/mdy397. PubMed PMID: 30204835. <br> 9.
                    Li X#, Xu W#, Kang W, Wong SH, Wang M, Zhou Y, Fang X, Zhang X, Yang H, Wong CH, To KF, Chan SL, Chan MTV, Sung JJY, Wu WKK*, Yu J*. Genomic analysis of liver cancer unveils novel driver genes and distinct prognostic features. Theranostics.
                    2018;8(6):1740-1751. doi: 10.7150/thno.22010. eCollection 2018. PubMed PMID: 29556353; PubMed Central PMCID: PMC5858179. <br> 10. Wu WK#, Li X#, Wang X#, Dai RZ, Cheng AS, Wang MH, Kwong T, Chow TC, Yu J*, Chan MT*, Wong SH*. Oncogenes
                    without a Neighboring Tumor-Suppressor Gene Are More Prone to Amplification. Mol Biol Evol. 2017 Apr 1;34(4):903-907. doi: 10.1093/molbev/msw295. PubMed PMID: 28087780; PubMed Central PMCID: PMC5400371. <br> 11. Li X#, Wu WK*, Xing
                    R, Wong SH, Liu Y, Fang X, Zhang Y, Wang M, Wang J, Li L, Zhou Y, Tang S, Peng S, Qiu K, Chen L, Chen K, Yang H, Zhang W, Chan MT, Lu Y, Sung JJ, Yu J*. Distinct Subtypes of Gastric Cancer Defined by Molecular Characterization Include
                    Novel Mutational Signatures with Prognostic Capability. Cancer Res. 2016 Apr 1;76(7):1724-32. doi: 10.1158/0008-5472.CAN-15-2443. Epub 2016 Feb 8. PubMed PMID: 26857262. <br> 12. Nakatsu G#, Li X#, Zhou H#, Sheng J#, Wong SH#, Wu WK#,
                    Ng SC, Tsoi H, Dong Y, Zhang N, He Y, Kang Q, Cao L, Wang K, Zhang J, Liang Q, Yu J*, Sung JJ*. Gut mucosal microbiome across stages of colorectal carcinogenesis. Nat Commun. 2015 Oct 30;6:8727. doi: 10.1038/ncomms9727. PubMed PMID:
                    26515465; PubMed Central PMCID: PMC4640069. <br> 13. Li C#, Gao Z#, Li F#, Li X#, Sun Y, Wang M, Li D, Wang R, Li F, Fang R, Pan Y, Luo X, He J, Zheng L, Xia J, Qiu L, He J, Ye T, Zhang R, He M, Zhu M, Hu H, Shi T, Zhou X, Sun M, Tian
                    S, Zhou Y, Wang Q, Chen L, Yin G, Lu J, Wu R, Guo G, Li Y, Hu X, Li L, Asan, Wang Q, Yin Y, Feng Q, Wang B, Wang H, Wang M, Yang X, Zhang X, Yang H, Jin L, Wang CY, Ji H*, Chen H*, Wang J , Wei Q*. Whole Exome Sequencing Identifies
                    Frequent Somatic Mutations in Cell-Cell Adhesion Genes in Chinese Patients with Lung Squamous Cell Carcinoma. Sci Rep. 2015 Oct 27;5:14237. doi: 10.1038/srep14237. PubMed PMID: 26503331; PubMed Central PMCID: PMC4621504. <br> 14. Yu
                    J#*, Wu WK# Li X#, He J, Li XX, Ng SS, Yu C, Gao Z, Yang J, Li M, Wang Q, Liang Q, Pan Y, Tong JH, To KF, Wong N, Zhang N, Chen J, Lu Y, Lai PB, Chan FK, Li Y, Kung HF, Yang H, Wang J*, Sung JJ*. Novel recurrently mutated genes and
                    a prognostic mutation signature in colorectal cancer. Gut. 2015 Apr;64(4):636-45. doi: 10.1136/gutjnl-2013-306620. Epub 2014 Jun 20. PubMed PMID: 24951259; PubMed Central PMCID: PMC4392212.
                    <h3>Selected Research
                    </h3> ProjectsDiagnosis of thyroid cancer using deep convolutional neural network models applied to sonographic images: a retrospective, multicolor, diagnostic study
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