Dr WANG Xin
王鑫
Associate Professor
PhD

Research/Laboratory
xwangadd this for spam@add this for spamsurgery.cuhk.edu.hk
0000-0002-5122-2418

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Biography
Dr. Xin Wang obtained his PhD in 2014 from the University of Cambridge Department of Oncology and Cancer Research UK Cambridge Institute. From 2013 to 2015, Dr. Wang did his postdoctoral research at the Department of Biomedical Informatics, Harvard Medical School. He joined City University of Hong Kong in March 2015 and was promoted to Associate Professor and Associate Head at the Department of Biomedical Sciences. In 2021, he joined the Department of Surgery, Chinese University of Hong Kong, as an Associate Professor. He is currently also a Guest Associate Professor at the West China School of Basic Medical Sciences & Forensic Medicine, Sichuan University.

Dr. Wang’s major research field is Biomedical Informatics with a special focus on Cancer Bioinformatics. Since 2012, he has been focusing on mechanistic and translational research in major human diseases by developing novel methodologies integrating bioinformatics, systems biology, machine learning and artificial intelligence. In collaboration with molecular biologists and experimental oncologists, he is especially fascinated by the research into the mechanisms related to cancer development and metastasis. Together with clinicians, his group has also been dedicating to multi-centre preclinical and clinical studies about biomarkers for cancer early detection, prognosis, therapeutic response, and monitoring. Dr. Wang published > 70 papers in well-known journals such as Nature Medicine, Gastroenterology, Hepatology, Annals of Surgery, Science Advances, and Nature Communications. His research is currently funded by Research Grants Council of Hong Kong, Shenzhen City and Guangdong Province, as well as National Natural Science Foundation of China.

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Research Interests
Cancer Bioinformatics
Cancer Biology
Biomarker Development

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Additional Information
ORCiD: https://orcid.org/0000-0002-5122-2418
Google Scholar Webpage: https://scholar.google.com/citations?user=KJSLMFAAAAAJ
Personal Webpage: https://xinwlab.netlify.app/
Academic committee member of the Guangdong Key Laboratory of Human Disease Genomics (广东省人类疾病基因组重点实验室)
Research Topics Editor for Frontiers in Cell and Developmental Biology, and Frontiers in Molecular Biosciences
Review Editor for Frontiers in Oncology
Member of the international Colorectal Cancer Subtyping Consortium (CRCSC)
Member of the British Association for Cancer Research (BACR)
Member of the European Association for Cancer Research (EACR)

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Selected Publications
Kandimalla R^?, Wang W^?, Yu F, Zhou N, Gao F, Spillman M, Moukova L, Slaby O, Salhia B, Zhou S*, Wang X*, Goel A*, OCaMIR – A noninvasive, diagnostic signature for early stage ovarian cancer: a multi-cohort retrospective and prospective study, Clinical Cancer Research 2021, doi:10.1158/1078-0432.CCR-21-0267 (co-correspondence, IF = 12.531)
Huang H^?, Hu J^?, Maryam A, Huang Q, Zhang Y, Ramakrishnan S, Li J, Ma VW, Cheuk W, So GYK, Wang W, Cho WCS, Zhang L, Chan M, Wang X*, Chin YR*, Defining super-enhancer landscape in triple-negative breast cancer by multi-omic profiling, Nature Communications 2021, 12:1–16. (co-correspondence, IF = 14.919)
Chen Y^?, Wu T^?, Zhu Z^?, Huang H, Zhang L, Goel A, Yang M, Wang X*, An integrated workflow for biomarker development using microRNAs in extracellular vesicles for cancer precision medicine. Seminars in Cancer Biology 2021, doi:10.1016/j.semcancer.2021.03.011 (IF= 15.707)
Xie K^?, Wang Z^?, Qi L^?, Zhao X, Wang Y, Qu J, Huang L, Zhang W, Yang Y*, Wang X*, Shi P*, Profiling MicroRNAs with Associated Spatial Dynamics in Acute Tissue Slices, ACS Nano 2021. doi:10.1021/acsnano.0c09676 (co-correspondence, IF= 15.881)
Gao F, Wang W, Tan M, Zhu L, Zhang Y, Fessler E, Vermeulen L* & Wang X*, DeepCC: a novel deep learning-based framework for cancer molecular subtype classification, Oncogenesis 2019, 8:44 (IF = 6.119)
Kandimalla R^?, Gao F^?, Li Y^?, Huang H, Ke J, Deng X, Zhao L, Zhou S, Goel A*, and Wang X*, RNAMethyPro: A biologically conserved signature of N6-methyladenosine regulators for predicting survival at pan-cancer level, npj Precision Oncology 2019, 3:13. (IF= 8.254)
Kandimalla R^?, Ozawa T^?, Gao F^?, Wang X*, Goel A* and the T1 Colorectal Cancer Study Group, Gene Expression Signature in Surgical Tissues and Endoscopic Biopsies Identifies High-risk T1 Colorectal Cancers, Gastroenterology 2019, 156(8), 2338-2341.e3. (co-correspondence, IF = 22.682)
Chen H^?, Gao F^?, He M^?, Ding XF, Wong AM, Sze SC, Yu AC, Sun T, Chan AWH, Wang X*, Wong N*, Long-read RNA Sequencing identifies Novel Splice Variants in Hepatocellular Carcinoma and Tumor-specific Isoforms, Hepatology 2019, doi:10.1002/hep.30500 (co-correspondence, IF = 17.425)
Zhao L^?, Wang W^?, Xu L, Yi T, Zhao X, Wei Y, Vermeulen L, Goel A, Zhou S* and Wang X*, Integrative network biology analysis identifies miR-508-3p as the determinant for the mesenchymal identity and a strong prognostic biomarker of ovarian cancer, Oncogene 2019;38: 2305–2319, doi:10.1038/s41388-018-0577-5 (IF = 9.867)
Wang W^?, Kandimalla R^?, Huang H^?, Zhu L, Li Y, Gao F, Goel A*, Wang X*, Molecular subtyping of colorectal cancer: recent progress, new challenges and emerging opportunities, Seminars in Cancer Biology 2019, 55:37-52 (IF= 15.707)
Kandimalla R^?, Gao F^?, Matsuyama T, Ishikawa T, Uetake H, Takahashi N, Yamada Y, Becerra C, Kopetz S, Wang X* and Goel A*. Genome-wide discovery and identification of a novel miRNA signature for recurrence prediction in stage II and III colorectal cancer. Clinical Cancer Research 2018, 24(16):3867-3877 (co-correspondence, IF = 12.531)
Sonohara F^?, Gao F^?, Iwata N, Kanda M, Koike M, Takahashi N, Yamada Y, Kodera Y, Wang X*, Goel A*, Genome-wide Discovery of a Novel Gene-expression Signature for the Identification of Lymph Node Metastasis in Esophageal Squamous Cell Carcinoma, Annals of Surgery 2019, 269(5):879-886 (co-correspondence, IF = 12.969)
Guinney J^?, Dienstmann R^?, Wang X^?, de Reyniès A^?, Schlicker A^?, Soneson C^?, Marisa L^?, Roepman P^?, Nyamundanda G^?, Angelino P, Bot BM, Morris JS, Simon I, Gerster S, Fessler E, De Sousa E Mello F, Missiaglia E, Ramay H, Barras D, Homicsko K, Maru D, Manyam GC, Broom B, Boige V, Laderas T, Salazar R, Gray JW, Hanahan D, Tabernero J, Bernards R, Friend SH, Laurent-Puig P§, Medema JP§, Sadanandam A§, Wessels L§, Delorenzi M§, Kopetz S§, Vermeulen L§, Tejpar S§, The Consensus Molecular Subtypes of Colorectal Cancer, Nature Medicine 2015, 21(11):1350-6 (co-first author, IF = 53.440, commented by BMJ 2015)
Yu VWC, Yusuf RZ, Oki T, Wu J, Saez B, Wang X, Cook C, Baryawno N, Ziller MJ, Lee E, Gu H, Meissner A, Lin CP, Kharchenko PV, Scadden DT, Epigenetic Memory Underlies Cell-Autonomous Heterogeneous Behavior of Hematopoietic Stem Cells, Cell 2016, 167(5):1310 - 1322 (IF = 31.398)
Masuda T, Wang X, Maeda M, Canver MC, Sher F, Funnell APW, Fisher C, Suciu M, Martyn GE, Norton LJ, Zhu R, Kurita R, Nakamura Y, Xu J, Higgs DR, Crossley M, Bauer DE, Orkin SH, Kharchenko PV and Maeda T, The LRF/ZBTB7A transcription factor is a BCL11A-independent repressor of fetal hemoglobin, Science 2016, 351(6270):285-289 (IF = 37.205)
De Sousa E Mello, F^?, Wang X^?, Jansen M, Fessler E, Trinh A, et al., Poor prognosis colon cancer is defined by a distinct molecular subtype and develops from serrated precursor lesions, Nature Medicine 2013, 19(5):614-618 (co-first author, Faculty of 1000, commented or highlighted in Nature Rev Cancer, Nature Rev Clin Onc, Nature Rev Gastro, etc., IF = 53.440)
Wang X, Yuan K, Hellmayr C, Liu W and Markowetz F, Reconstructing evolving signaling networks by hidden Markov nested effects models, Annals of Applied Statistics 2014, 8(1):448-480 (IF = 2.083)
Wang X, Castro MA, Mulder KW and Markowetz F, Posterior association networks and functional modules inferred from rich phenotypes of gene perturbations. PLoS Computational Biology 2012, 8(6):e1002566 (IF = 4.475)
Wang X^?, Terfve C^?, Rose JC, Markowetz F, HTSanalyzeR: an R/Bioconductor package for integrated network analysis of high-throughput screens. Bioinformatics 2011, 27(6):879 (IF = 6.937)


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