Chengcheng Hu

Chengcheng Hu

Director, Biostatistics - Phoenix Campus
Professor, Public Health
Professor, Statistics-GIDP
Professor, BIO5 Institute
Primary Department
Department Affiliations
Contact
(520) 626-9308

Work Summary

Chengcheng Hu has worked on a broad range of areas including cancer, occupational health, HIV/AIDS, and aging. He has extensive collaborative research in conducting methodological research in the areas of survival analysis, longitudinal data, high-dimensional data, and measurement error. His current methodological interest, arising from studies of viral and human genetics and biomarkers, is to develop innovative methods to investigate the relationship between high-dimensional information and longitudinal outcomes or survival endpoints.

Research Interest

Chengcheng Hu, Ph.D., is an Associate Professor, Public Health and Director, Biostatistics, Phoenix campus at the Mel and Enid Zuckerman College of Public Health, University of Arizona. He is also Director of the Biometry Core on the Chemoprevention of Skin Cancer Project at the University of Arizona Cancer Center. Hu has worked on multiple federal grants in a broad range of areas including cancer, occupational health, HIV/AIDS, and aging. In addition to extensive experience in collaborative research, he has conducted methodological research in the areas of survival analysis, longitudinal data, high-dimensional data, and measurement error. His current methodological interest, arising from studies of viral and human genetics and biomarkers, is to develop innovative methods to investigate the relationship between high-dimensional information and longitudinal outcomes or survival endpoints. Hu joined the UA Mel and Enid Zuckerman College of Public Health in 2008. Prior to this he was an assistant professor of Biostatistics at the Harvard School of Public Health from 2002 to 2008. While at Harvard, he also served as senior statistician in the Pediatric AIDS Clinical Trials Group (PACTG) and the International Maternal Pediatric Adolescent AIDS Clinical Trials Group (IMPAACT). Hu received his Ph.D. and M.S. in Biostatistics from the University of Washington and a M.A. in Mathematics from the Johns Hopkins University.

Publications

Huang, S., Chengcheng, H., Bell, M., Billheimer, D., Guerra, S., Roe, D., Monica, V., & Bedrick, E. (2018). Regularized Continuous-Time Markov Model via Elastic Net. Biometrics.
BIO5 Collaborators
Dean Billheimer, Stefano Guerra, Chengcheng Hu
Vasquez, M. M., Hu, C., Roe, D. J., Chen, Z., Halonen, M., & Guerra, S. (2016). Least absolute shrinkage and selection operator type methods for the identification of serum biomarkers of overweight and obesity: simulation and application. BMC medical research methodology, 16(1), 154.
BIO5 Collaborators
Zhao Chen, Stefano Guerra, Chengcheng Hu

The study of circulating biomarkers and their association with disease outcomes has become progressively complex due to advances in the measurement of these biomarkers through multiplex technologies. The Least Absolute Shrinkage and Selection Operator (LASSO) is a data analysis method that may be utilized for biomarker selection in these high dimensional data. However, it is unclear which LASSO-type method is preferable when considering data scenarios that may be present in serum biomarker research, such as high correlation between biomarkers, weak associations with the outcome, and sparse number of true signals. The goal of this study was to compare the LASSO to five LASSO-type methods given these scenarios.

Klimentidis, Y. C., Bea, J. W., Thompson, P., Klimecki, W. T., Hu, C., Wu, G., Nicholas, S., Ryckman, K. K., & Chen, Z. (2016). Genetic Variant in ACVR2B Is Associated with Lean Mass. Medicine and science in sports and exercise.
BIO5 Collaborators
Zhao Chen, Chengcheng Hu, Walter Klimecki, Yann C Klimentidis

Low lean mass (LM) is a risk factor for chronic disease, a major cause of disability and diminished quality of life, and is a heritable trait. However, relatively few specific genetic factors have been identified as potentially influencing this trait.

Vasquez, M., others, ., & Guerra, S. (2016). Low lung function in young adult life is associated with early mortality. The American Journal of Respiratory and Critical Care Medicine.
BIO5 Collaborators
Stefano Guerra, Chengcheng Hu
Jeter, J. M., Curiel-Lewandrowski, C., Stratton, S. P., Myrdal, P. B., Warneke, J. A., Einspahr, J. G., Bartels, H., Yozwiak, M., Bermudez, Y., Hu, C., Bartels, P., & Alberts, D. S. (2015). Phase IIB Randomized Study of Topical Difluoromethylornithine and Topical Diclofenac on Sun-Damaged Skin of the Forearm. Cancer prevention research (Philadelphia, Pa.).
BIO5 Collaborators
Clara N Curiel, Chengcheng Hu

Prevention of nonmelanoma skin cancers remains a health priority due to high costs associated with this disease. Diclofenac and difluoromethylornithine (DFMO) have demonstrated chemopreventative efficacy for cutaneous squamous cell carcinomas. We designed a randomized study of the combination of DFMO and diclofenac in the treatment of sun-damaged skin. Individuals with visible cutaneous sun damage were eligible. Subjects were randomized to one of three groups: topical DFMO applied twice daily, topical diclofenac applied daily, or DFMO plus diclofenac. The treatment was limited to an area on the left forearm, and the duration of use was 90 days. We hypothesized that combination therapy would have increased efficacy compared to single-agent therapy. The primary outcome was change in karyometric average nuclear abnormality (ANA) in the treated skin. Individuals assessing the biomarkers were blinded regarding the treatment for each subject. A total of 156 subjects were randomized; 144 had baseline and end-of-study biopsies, and 136 subjects completed the study. The ANA unexpectedly increased for all groups, with higher values correlating with clinical cutaneous inflammation. Nearly all of the adverse events were local cutaneous effects. One subject had cutaneous toxicity that required treatment discontinuation. Significantly more adverse events were seen in the groups taking diclofenac. Overall, the study indicated that the addition of topical DFMO to topical diclofenac did not enhance its activity. Both agents caused inflammation on a cellular and clinical level, which may have confounded the measurement of chemopreventative effects. More significant effects may be observed in subjects with greater baseline cutaneous damage.