汤在祥，男，博士，www.优德88.cpm苏州医学院公共卫生学院流行病与卫生统计学系，教授，博士生导师
[学历/学位]
博士研究生
[工作简历]
2019-现今 www.优德88.cpm 医学部公共卫生学院 教授，博士生导师
2013-2019 www.优德88.cpm 医学部公共卫生学院 副教授，硕士生导师
2016-2017 美国阿拉巴马大学伯明翰分校生物统计系 访问学者
2011-2014 公共卫生与预防医学博士后流动站 博士后
2010-2013 www.优德88.cpm 医学部公共卫生学院 讲师
[学术兼职]
中国卫生信息学会卫生统计理论与方法专业委员会委员
中国医药教育协会医药统计专业委员会委员
中国统计教学学会生物医学统计分会专业委员会委员
中国医药教育协会医药统计专业委员会委员
中国肿瘤协会肿瘤人工智能专业委员会常委
江苏省健康管理学会，常务委员，特聘专家
江苏省预防医学会卫生统计方法专业委员会委员
国家自然科学基金的函审专家
中国遗传学会会员
中国生物信息学会会员
国际生物统计学会中国分会会员
《中国比较医学杂志》编委，《中国实验动物学报》通讯编委。
[研究方向]
（1）生物统计学理论与方法，包括高维数据分析，贝叶斯统计学，医疗大数据；
（2）大数据挖掘与预测模型，包括肿瘤大数据挖掘，临床预测模型；
（3）临床试验设计与统计分析。
[主要研究成果]
先后发在国际主流学术期刊《Bioinformatics》、 《Heredity》、 《Genetics》、《Oncotarget》、《Oncology report》等杂志上发表SCI论文30余篇，有关研究成果应邀在国际数量遗传学大会（2012，英国爱丁堡）、中国卫生统计年会（2015，太原）、美国泛华统计年会（2016，亚特兰大），中国卫生统计年会(2017，武汉)，泛华统计年会（2018，青岛）等学术会议报告。
[近年发表的论文]
1Bao X, Chen Y, Lou X, Du J, Li H, Liu N, Tang Z, Hua J, Guo W, Liu SB., Comprehensive analysis of ERCC3 prognosis value and ceRNA network in AML, Clin Transl Oncol. 2023 Apr;25(4):1053-1066. doi: 10.1007/s12094-022-03012-5. Epub 2022 Dec 6.
2Wang X, Lu K, Shen J, Xu S, Wang Q, Gong Y, Xia Y, Wang X, Chen L, Yan S, Tang Z, Li C., Correlation between meteorological factors and vitamin D status under different season, Sci Rep. 2023 Mar 23;13(1):4762. doi: 10.1038/s41598-023-31698-2.
3Bai L, Lu K, Dong Y, Wang X, Gong Y, Xia Y, Wang X, Chen L, Yan S, Tang Z, Li C., Predicting monthly hospital outpatient visits based on meteorological environmental factors using the ARIMA model, Sci Rep. 2023 Feb 15;13(1):2691. doi: 10.1038/s41598-023-29897-y.
4Bao X, Chi J, Zhu Y, Yang M, Du J, Tang Z, Xu X, Mao G, Wu Z, Chen J, Hua J, Xu T, Liu SB., High FAAP24 expression reveals poor prognosis and an immunosuppressive microenvironment shaping in AML, Cancer Cell Int. 2023 Jun 17;23(1):117. doi: 10.1186/s12935-023-02937-3.
5Geng R, Feng Q, Ji M, Dong Y, Xu S, Liu C, He Y, Tang Z., Sex-specific association of serum uric acid trajectories with risk of incident retinal arteriosclerosis in Chinese population: A population-based longitudinal study, Front Cardiovasc Med. 2023 Feb 28;10:1116486. doi: 10.3389/fcvm.2023.1116486. eCollection 2023.
6Shen J, Li H, Yu X, Bai L, Dong Y, Cao J, Lu K, Tang Z., Efficient feature extraction from highly sparse binary genotype data for cancer prognosis prediction using an auto-encoder, Front Oncol. 2023 Jan 10;12:1091767. doi: 10.3389/fonc.2022.1091767. eCollection 2022.
7Zhou S, Ma X, Ma C, Zhu Q, Zhao Q, Li L, Li S, Tang Z, He J, Wu D, Wu X, Qin S., Splenic irradiation combined with plasmapheresis and rituximab: a new option reducing donor-specific antibody in haploidentical hematopoietic stem cell transplantation, Bone Marrow Transplant. 2023 Feb;58(2):226-228. doi: 10.1038/s41409-022-01868-3. Epub 2022 Nov 19.
8Dong Y, Liu C, Wang J, Li H, Wang Q, Feng A, Tang Z., Association between total bilirubin and gender-specific incidence of fundus arteriosclerosis in a Chinese population: a retrospective cohort study, Sci Rep. 2023 Jul 11;13(1):11244. doi: 10.1038/s41598-023-38378-1.
9Gao R, Gu Y, Yang Y, He Y, Huang W, Sun T, Tang Z, Wang Y, Yang W., Robust radiosensitization of hemoglobin-curcumin nanoparticles suppresses hypoxic hepatocellular carcinoma, J Nanobiotechnology. 2022 Mar 5;20(1):115. doi: 10.1186/s12951-022-01316-w.
10Guo Y, Du Z, Zhou Y, Sun H, Liang R, Sun MX, Tang Z, Liu SB., FEN1 Status and Its Correlation with Clinicopathologic Characteristic in Colorectal Cancer, Comb Chem High Throughput Screen. 2022;25(6):1040-1046. doi: 10.2174/1386207324666210401113351.
11Liu Q, Tang Z, Li H, Li Y, Tian Q, Yang Z, Miao P, Yang X, Li M, Xu L, Feng X, Ding X., The development and validation of a predictive model for neonatal phototherapy outcome using admission indicators, Front Pediatr. 2022 Oct 11;10:745423. doi: 10.3389/fped.2022.745423. eCollection 2022.
12Yan D, Zhao Q, Du Z, Li H, Geng R, Yang W, Zhang X, Cao J, Yi N, Zhou J, Tang Z., Development and validation of an immune-related gene signature for predicting the radiosensitivity of lower-grade gliomas, Sci Rep. 2022 Apr 23;12(1):6698. doi: 10.1038/s41598-022-10601-5.
13Yan D, Cai S, Bai L, Du Z, Li H, Sun P, Cao J, Yi N, Liu SB, Tang Z., Integration of immune and hypoxia gene signatures improves the prediction of radiosensitivity in breast cancer, Am J Cancer Res. 2022 Mar 15;12(3):1222-1240. eCollection 2022.
14Ge J, Wei X, Gu Y, Xie Y, Li H, Zhou S, Liu C, Li S, Wu W, Xu J, Ma X, Tang Z, He J, Wu D, Wu X, Liu J., Relationship of Oropharyngeal Colonization Microorganisms to Clinical Outcomes within 100 Days after Allogeneic Hematopoietic Stem Cell Transplantation, Transplant Cell Ther. 2022 Aug;28(8):496.e1-496.e7. doi: 10.1016/j.jtct.2022.05.017. Epub 2022 May 16.
15Zheng Y, Bai L, Sun J, Zhu L, Huang R, Duan S, Dong F, Tang Z, Li Y., Diagnostic value of radiomics model based on gray-scale and contrast-enhanced ultrasound for inflammatory mass stage periductal mastitis/duct ectasia, Front Oncol. 2022 Sep 20;12:981106. doi: 10.3389/fonc.2022.981106. eCollection 2022.
16Du Z, Liu H, Bai L, Yan D, Li H, Peng S, Cao J, Liu SB, Tang Z., A Radiosensitivity Prediction Model Developed Based on Weighted Correlation Network Analysis of Hypoxia Genes for Lower-Grade Glioma, Front Oncol. 2022 Feb 25;12:757686. doi: 10.3389/fonc.2022.757686. eCollection 2022.
17Shen J, Yan D, Bai L, Geng R, Zhao X, Li H, Dong Y, Cao J, Tang Z, Liu SB., An 11-Gene Signature Based on Treatment Responsiveness Predicts Radiation Therapy Survival Benefit Among Breast Cancer Patients, Front Oncol. 2022 Jan 6;11:816053. doi: 10.3389/fonc.2021.816053. eCollection 2021.
18Li H, Liu SB, Shen J, Bai L, Zhang X, Cao J, Yi N, Lu K, Tang Z., Development and Validation of Prognostic Model for Lung Adenocarcinoma Patients Based on m6A Methylation Related Transcriptomics, Front Oncol. 2022 Jun 16;12:895148. doi: 10.3389/fonc.2022.895148. eCollection 2022.
19Wei X, Xie Y, Jiang R, Li H, Wu H, Zhang Y, Li L, Zhou S, Ma X, Tang Z, He J, Wu D, Wu X., The impact of Rituximab administered before transplantation in patients undergoing allogeneic hematopoietic stem cell transplantation: A real-world study, Front Immunol. 2022 Aug 31;13:967026. doi: 10.3389/fimmu.2022.967026. eCollection 2022.
20Du Z, Zhang X, Tang Z., More evidence for prediction model of radiosensitivity, Biosci Rep. 2021 Apr 30;41(4):BSR20210034. doi: 10.1042/BSR20210034.
21Yan D, Shen M, Du Z, Cao J, Tian Y, Zeng P, Tang Z., Developing ZNF Gene Signatures Predicting Radiosensitivity of Patients with Breast Cancer, J Oncol. 2021 Aug 31;2021:9255494. doi: 10.1155/2021/9255494. eCollection 2021.
22Du Z, Cai S, Yan D, Li H, Zhang X, Yang W, Cao J, Yi N, Tang Z., Development and Validation of a Radiosensitivity Prediction Model for Lower Grade Glioma Based on Spike-and-Slab Lasso, Front Oncol. 2021 Jul 30;11:701500. doi: 10.3389/fonc.2021.701500. eCollection 2021.
23Shen J, Wang C, Dong C, Tang Z, Sun H., Reductions in mortality resulting from COVID-19 quarantine measures in China, J Public Health (Oxf). 2021 Jun 7;43(2):254-260. doi: 10.1093/pubmed/fdaa249.
24Shen J, Liu J, Li H, Bai L, Du Z, Geng R, Cao J, Sun P, Tang Z., Explore association of genes in PDL1/PD1 pathway to radiotherapy survival benefit based on interaction model strategy, Radiat Oncol. 2021 Nov 18;16(1):223. doi: 10.1186/s13014-021-01951-x.
25Huang L, Liu Y, Li H, Huang W, Geng R, Tang Z, Jiang Y., Bullous Pemphigoid and Diabetes medications: A disproportionality analysis based on the FDA Adverse Event Reporting System, Int J Med Sci. 2021 Mar 3;18(9):1946-1952. doi: 10.7150/ijms.55421. eCollection 2021.
26Li Z, Cai S, Li H, Gu J, Tian Y, Cao J, Yu D, Tang Z., Developing a lncRNA Signature to Predict the Radiotherapy Response of Lower-Grade Gliomas Using Co-expression and ceRNA Network Analysis, Front Oncol. 2021 Mar 9;11:622880. doi: 10.3389/fonc.2021.622880. eCollection 2021.
27Xie Y, Parekh J, Tang Z, Wu D, Wu X., Donor-Specific Antibodies and Primary Graft Failure in Allogeneic Hematopoietic Stem Cell Transplantation: A Systematic Review and Meta-Analysis, Transplant Cell Ther. 2021 Aug;27(8):687.e1-687.e7. doi: 10.1016/j.jtct.2021.04.030. Epub 2021 May 12.
28Wang T, Tang Z, Yu X, Gao Y, Guan F, Li C, Huang S, Zheng J, Zeng P., Birth Weight and Stroke in Adult Life: Genetic Correlation and Causal Inference With Genome-Wide Association Data Sets, Front Neurosci. 2020 Jun 11;14:479. doi: 10.3389/fnins.2020.00479. eCollection 2020.
29Du Z, Yan D, Li Z, Gu J, Tian Y, Cao J, Tang Z., Genes Involved in the PD-L1 Pathway Might Associate with Radiosensitivity of Patients with Gastric Cancer, J Oncol. 2020 Sep 8;2020:7314195. doi: 10.1155/2020/7314195. eCollection 2020.
30Liu Q, Liu D, Yan D, Huang W, Ji X, Hui J, Tang Z., Gender-Specific Association Between Serum Uric Acid and Incident High Intraocular Pressure in Chinese Population: A Cross-Sectional Study, Invest Ophthalmol Vis Sci. 2020 Sep 1;61(11):10. doi: 10.1167/iovs.61.11.10.
31Wu Q, Liu L, Jiang X, Hu YY, Liang QS, He ZS, Xue Y, Zhu W, Tang ZX, Hou YY, Zhao Q, Wang XH., Effect of voluntary breathing exercises on stable coronary artery disease in heart rate variability and rate-pressure product: a study protocol for a single-blind, prospective, randomized controlled trial, Trials. 2020 Jul 1;21(1):602. doi: 10.1186/s13063-020-04402-2.
32Xin D, Liu J, Gu J, Ji Y, Jin J, Sun L, Tai Q, Cao J, Tian Y, Qin H, Tang Z., Low Expression of DDX60 Gene Might Associate with the Radiosensitivity for Patients with Breast Cancer, J Oncol. 2020 Jul 20;2020:8309492. doi: 10.1155/2020/8309492. eCollection 2020.
33Tang Z, Sun B, Xu B., A quick evaluation method of nosocomial infection risk for cancer hospitals during the COVID-19 pandemic, J Cancer Res Clin Oncol. 2020 Jul;146(7):1891-1892. doi: 10.1007/s00432-020-03235-5. Epub 2020 Apr 27.
34Yi N, Tang Z, Zhang X, Guo B., BhGLM: Bayesian hierarchical GLMs and survival models, with applications to genomics and epidemiology, Bioinformatics. 2019 Apr 15;35(8):1419-1421. doi: 10.1093/bioinformatics/bty803.
35Sun H, Gu J, Li Z, Liu Q, Lin J, Tian Y, Cao J, Qin H, Tang Z., Low Expression of GLIS2 Gene Might Associate with Radiosensitivity of Gastric Cancer, J Oncol. 2019 Jun 9;2019:2934925. doi: 10.1155/2019/2934925. eCollection 2019.
36Tang Z, Lei S, Zhang X, Yi Z, Guo B, Chen JY, Shen Y, Yi N., Gsslasso Cox: a Bayesian hierarchical model for predicting survival and detecting associated genes by incorporating pathway information, BMC Bioinformatics. 2019 Feb 27;20(1):94. doi: 10.1186/s12859-019-2656-1.
37Hu H, Yu X, Tang Z, Lin L., Research Capacity and Research Training Needs of Clinical Nurses in Suzhou, China, J Contin Educ Nurs. 2019 Sep 1;50(9):423-432. doi: 10.3928/00220124-20190814-09.
38Shi CL, Xu JC, Chen H, Ye ZJ, Chen XN, Tang PJ, Ma LL, Tang ZX, Wu MY, Xu P., Risk factors of latent tuberculosis infection and immune function in health care workers in Suzhou, China, J Thorac Dis. 2018 Dec;10(12):6742-6752. doi: 10.21037/jtd.2018.10.112.
39Qin H, Zhou J, Xu J, Cheng L, Tang Z, Ma H, Guo F., The nuclear transcription factor RelB functions as an oncogene in human lung adenocarcinoma SPC-A1 cells, Cancer Cell Int. 2018 Jun 26;18:88. doi: 10.1186/s12935-018-0580-5. eCollection 2018.
40Tang Z, Shen Y, Li Y, Zhang X, Wen J, Qian C, Zhuang W, Shi X, Yi N., Group spike-and-slab lasso generalized linear models for disease prediction and associated genes detection by incorporating pathway information, Bioinformatics. 2018 Mar 15;34(6):901-910. doi: 10.1093/bioinformatics/btx684.
41Tang Z, Shen Y, Zhang X, Yi N., The Spike-and-Slab Lasso Generalized Linear Models for Prediction and Associated Genes Detection, Genetics. 2017 Jan;205(1):77-88. doi: 10.1534/genetics.116.192195. Epub 2016 Oct 31.
42Zhang X, Mallick H, Tang Z, Zhang L, Cui X, Benson AK, Yi N., Negative binomial mixed models for analyzing microbiome count data, BMC Bioinformatics. 2017 Jan 3;18(1):4. doi: 10.1186/s12859-016-1441-7.
43Tang Z, Shen Y, Zhang X, Yi N., The spike-and-slab lasso Cox model for survival prediction and associated genes detection, Bioinformatics. 2017 Sep 15;33(18):2799-2807. doi: 10.1093/bioinformatics/btx300.
44Zhou J, Wu X, Li G, Gao X, Zhai M, Chen W, Hu H, Tang Z., Prediction of radiosensitive patients with gastric cancer by developing gene signature, Int J Oncol. 2017 Oct;51(4):1067-1076. doi: 10.3892/ijo.2017.4107. Epub 2017 Aug 30.
45Wang X, Zhi Q, Liu S, Xue SL, Shen C, Li Y, Wu C, Tang Z, Chen W, Song JL, Bao M, Song YH, Zhou J., Identification of specific biomarkers for gastric adenocarcinoma by ITRAQ proteomic approach, Sci Rep. 2016 Dec 12;6:38871. doi: 10.1038/srep38871.
46Qin H, Zhou J, Zhou P, Xu J, Tang Z, Ma H, Guo F., Prognostic significance of RelB overexpression in non-small cell lung cancer patients, Thorac Cancer. 2016 Jul;7(4):415-21. doi: 10.1111/1759-7714.12345. Epub 2016 Mar 24.
[获奖情况]
2011年度优秀共产党员
2012年度优秀班主任
2012年度考核优秀
2012年获教育部高等学校www.优德88.cpm 优秀成果奖（自然科学奖）二等奖
2017年度考核优秀
2018年获江苏省预防医学会2017年度优秀委员表彰1项
2018年全国高校（医学类）微课教学比赛二等奖
2018年www.优德88.cpm 第十七届青年教师课堂教学竞赛二等奖
2018年指导本科生以“皮肤那些事儿”科普图文，获中国国际科普大赛三等奖
2018年校优秀本科生毕业论文指导教师
2018年江苏省优秀本科生毕业论文指导教师
2019年度www.优德88.cpm 优秀教师
2020年度www.优德88.cpm “建设银行奖教金” 二等奖
2022年，2020-2021年度苏州市预防医学会自然科学优秀学术论文二等奖苏州市预防医学会
2022年2020-2021年度苏州市自然科学优秀学术论文三等奖苏州市人民政府
[承担与参与的课题]
1. 国家自然科学基金委员会，面上项目，82373688，基于高维组学数据的贝叶斯多水平stacking融合预测模型构建方法与应用研究，2024-01至2027-12，50万元，在研，主持
2. 国家自然科学基金委员会，面上项目，81773541，高维遗传数据预测模型构建中组群结构信息整合的新方法及其应用研究，2018-01至2021-12，55万元，结题，主持
3. 国家自然科学基金委员会，面上项目，81573253，整合遗传高维数据的贝叶斯多水平疾病风险预测模型构建方法与应用研究，2016-011至2017-12，25万元，结题，主持
4. 国家自然科学基金委员会，青年基金，31100882，基于虚拟标记插入的核质互作基因定位方法研究，2012-01至2014-12，25万元，已结题，主持
5. 2019年度省部共建放射医学与辐射防护国家重点实验室，开放课题，GZK1201919，基于泛癌症图谱的放疗敏感性基因挖掘方法与相关基因验证研究，2019-06至2020-12，3万元，结题，主持
6. 江苏省级重点实验室，开放课题，K12004，基于多群体的核质互作基因定位方法研究，2013-01至2015-12，2.0万元，已结题，主持
7. 中国博士后基金，2012M521116，基于二维扫描的核质互作基因-QTL定位方法研究，2013.1至2014.10，5.0万元，已结题，主持
8. 江苏省博士后基金，1202045C，模式动物核质互作基因-QTL定位方法研究，2012-06至2013-10，2.0万元，已结题，主持
9. 江苏省科学学技术厅，江苏省重点研发计划专项,社会发展-临床前沿技术，BE2018657，肠道菌群变化特征作为肠道核辐射损伤早期诊断生物标志物的临床研究，2018-07至2021-06，400万元，在研，主要参与（排名第2）
10. 国家自然科学基金委员会，面上项目，31271336，启动子区域遗传多态性位点与骨质疏松关联机制研究，2013-01至2016-12，81万元，已结题，参与
11. 国家自然科学基金委员会，青年项目，81202270，杀伤细胞免疫球蛋白样受体基因多态性与高血压的关系，2013-01至2015-12，23万元，已结题，参与
[专著]
1. 张明芝；李红美；吕大兵主编；汤在祥(第一副主编)；裴育芳；《实用医学统计学与SAS应用》（第九、十三、十四、十六、十七、十九、二十二、二十四章），www.优德88.cpm 出版社，960千字，2015
2. 李正奇；赵俊主编；余珊珊；程国华；郝晓花；吴建龙；王文萍，黄晓钟；汤在祥等参编，《生物等效性试验实用指南》（第十四章生物等效性试验数据统计分析），江苏凤凰科学技术出版社，400千字，2018
3. 刘理安胜利主编，欧春泉，汤在祥副主编，《医学统计学》，www.优德88.cpm 出版社，384千字，2021年
4. 潘兴强陈根浪主编，汤在祥参编，《Python医学实用统计分析》，人民卫生出版社，389千字，2023年
[专利]
1. 汤在祥；周进；胡化刚；输液贴（实用新型专利），2018-5-29，中国，CN207412449U
2. www.优德88.cpm （汤在祥）；放疗敏感性基因标签发现与验证软件V1.0（计算机软件著作权），2017-10-21，中国，2019SR1087718
3. www.优德88.cpm （汤在祥）；临床预测模型构建软件（计算机软件著作权），2020-07-24，中国，2020SR0827064
4. www.优德88.cpm （汤在祥），敏感性基因发现方法、装置及存储介质（发明专利），2023-07-05，中国，ZL201911170133
[教学工作]
主要面向医学类本科生，硕士,博士生，留学生，讲授《医学统计学》，《多元统计学》，《医学科研方法》等课程。
[联系方式]
办公室电话：0512-65883227 电子邮箱：tangzx@suda.edu.cn
欢迎预防医学，生物统计学，计算机，数学，信息科学等相关或交叉方向的同学报考硕博士研究生。
（以上内容系教师个人提供）