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                             Prof. Xiangchun Li
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                             <p style="font-size: 18px">
                               <h3>Educaiton</h3> <br>
                               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>
                                <br>
                               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>
                                <br>
                               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. <br>
                               <h3 style="color: #565656;font-size: 22px">1.  Selected Research ProjectsDiagnosis of thyroid cancer using
                                   deep convolutional neural
                                   network models applied to sonographic images: a retrospective, multicolor, diagnostic
                                   study</h3>
                                
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         // 
     </script>
 </body>

 </html>