Prof. Xiangchun Li
Professor of Department of Public Laboratory
2006.9-2010.7 Bachelor of Engineering in Bioinformation Technology, Huazhong University of Science and Technology,
2012.8~2016.12 Ph.D in Medical Sciences, Chinese University of Hong Kong,
Professional Experiences:
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,
Research Focus
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.
Selected Publications
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. 2019 Feb;20(2):193-201. doi: 10.1016/S1470-2045(18)30762-9. Epub 2018 Dec 21.
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.
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.
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*. 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 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.
7. 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.
8. 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.
9. 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.
10. 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.