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

Vasquez, M. M., Hu, C., Roe, D. J., Halonen, M., & Guerra, S. (2017). Measurement error correction in the least absolute shrinkage and selection operator model when validation data are available. Statistical methods in medical research, 962280217734241.
BIO5 Collaborators
Stefano Guerra, Chengcheng Hu

Measurement of serum biomarkers by multiplex assays may be more variable as compared to single biomarker assays. Measurement error in these data may bias parameter estimates in regression analysis, which could mask true associations of serum biomarkers with an outcome. The Least Absolute Shrinkage and Selection Operator (LASSO) can be used for variable selection in these high-dimensional data. Furthermore, when the distribution of measurement error is assumed to be known or estimated with replication data, a simple measurement error correction method can be applied to the LASSO method. However, in practice the distribution of the measurement error is unknown and is expensive to estimate through replication both in monetary cost and need for greater amount of sample which is often limited in quantity. We adapt an existing bias correction approach by estimating the measurement error using validation data in which a subset of serum biomarkers are re-measured on a random subset of the study sample. We evaluate this method using simulated data and data from the Tucson Epidemiological Study of Airway Obstructive Disease (TESAOD). We show that the bias in parameter estimation is reduced and variable selection is improved.

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.

Bermudez, Y., Stratton, S. P., Curiel-Lewandrowski, C., Warneke, J., Hu, C., Bowden, G. T., Dickinson, S. E., Dong, Z., Bode, A. M., Saboda, K., Brooks, C. A., Petricoin, E. F., Hurst, C. A., Alberts, D. S., & Einspahr, J. G. (2015). Activation of the PI3K/Akt/mTOR and MAPK Signaling Pathways in Response to Acute Solar-Simulated Light Exposure of Human Skin. Cancer prevention research (Philadelphia, Pa.), 8(8), 720-8.
BIO5 Collaborators
Clara N Curiel, Chengcheng Hu

The incidence of skin cancer is higher than all other cancers and continues to increase, with an average annual cost over $8 billion in the United States. As a result, identifying molecular pathway alterations that occur with UV exposure to strategize more effective preventive and therapeutic approaches is essential. To that end, we evaluated phosphorylation of proteins within the PI3K/Akt and MAPK pathways by immunohistochemistry in sun-protected skin after acute doses of physiologically relevant solar-simulated ultraviolet light (SSL) in 24 volunteers. Biopsies were performed at baseline, 5 minutes, 1, 5, and 24 hours after SSL irradiation. Within the PI3K/Akt pathway, we found activation of Akt (serine 473) to be significantly increased at 5 hours while mTOR (serine 2448) was strongly activated early and was sustained over 24 hours after SSL. Downstream, we observed a marked and sustained increase in phospho-S6 (serine 235/S236), whereas phospho-4E-BP1 (threonines 37/46) was increased only at 24 hours. Within the MAPK pathway, SSL-induced expression of phospho-p38 (threonine 180/tyrosine 182) peaked at 1 to 5 hours. ERK 1/2 was observed to be immediate and sustained after SSL irradiation. Phosphorylation of histone H3 (serine 10), a core structural protein of the nucleosome, peaked at 5 hours after SSL irradiation. The expression of both p53 and COX-2 was increased at 5 hours and was maximal at 24 hours after SSL irradiation. Apoptosis was significantly increased at 24 hours as expected and indicative of a sunburn-type response to SSL. Understanding the timing of key protein expression changes in response to SSL will aid in development of mechanistic-based approaches for the prevention and control of skin cancers.