Dean Billheimer

Dean Billheimer

Professor, Public Health
Director, Statistical Consulting
Professor, Statistics-GIDP
Professor, BIO5 Institute
Member of the General Faculty
Member of the Graduate Faculty
Primary Department
Contact
(520) 626-9902

Work Summary

My research develops new clinical trial and experimental study designs to allow 'learning from data' more efficiently. My research also develops new analysis methods to understand latent structure in data. This allows better understanding of disease processes, better targeting of existing treatments, and development of more effective new treatments. Finally, I am developing new statistical methods based on prediction of future events.

Research Interest

Dean Billheimer, PhD, works with the Arizona Statistics Consulting Laboratory (StatLab) to partner with scientists and physicians to advance discovery and understanding. The 'Stat Lab' provides statistical expertise, personnel and computing resources to facilitate study design and conduct, data acquisition protocols, data analysis, and the preparation of grants and manuscripts. Dr. Billheimer also works to adapt and develop new statistical methods to address emerging problems in science and medicine. Dr. Billheimer facilitates discovery translation and economic development by consulting with public and private organizations external to the University of Arizona. Keywords: Biostatistics, Bioinformatics, Study Design, Bayesian Analysis

Publications

Yassine, H., Borges, C. R., Schaab, M. R., Billheimer, D., Stump, C., Reaven, P., Lau, S. S., & Nelson, R. (2013). Mass spectrometric immunoassay and MRM as targeted MS-based quantitative approaches in biomarker development: potential applications to cardiovascular disease and diabetes. Proteomics. Clinical applications, 7(7-8).

Type 2 diabetes mellitus (T2DM) is an important risk factor for cardiovascular disease (CVD)--the leading cause of death in the United States. Yet not all subjects with T2DM are at equal risk for CVD complications; the challenge lies in identifying those at greatest risk. Therapies directed toward treating conventional risk factors have failed to significantly reduce this residual risk in T2DM patients. Thus newer targets and markers are needed for the development and testing of novel therapies. Herein we review two complementary MS-based approaches--mass spectrometric immunoassay (MSIA) and MS/MS as MRM--for the analysis of plasma proteins and PTMs of relevance to T2DM and CVD. Together, these complementary approaches allow for high-throughput monitoring of many PTMs and the absolute quantification of proteins near the low picomolar range. In this review article, we discuss the clinical relevance of the high density lipoprotein (HDL) proteome and Apolipoprotein A-I PTMs to T2DM and CVD as well as provide illustrative MSIA and MRM data on HDL proteins from T2DM patients to provide examples of how these MS approaches can be applied to gain new insight regarding cardiovascular risk factors. Also discussed are the reproducibility, interpretation, and limitations of each technique with an emphasis on their capacities to facilitate the translation of new biomarkers into clinical practice.

Ming, L. i., Gray, W., Zhang, H., Chung, C. H., Billheimer, D., Yarbrough, W. G., Liebler, D. C., Shyr, Y., & J., R. (2010). Erratum: Comparative shotgun proteomics using spectral count data and quasi-likelihood modeling (Journal of Proteome Research (2010) 9 (4295-4305)). Journal of Proteome Research, 9(11), 6090-.
Johnson, J. C., Schmidt, C. R., Shrubsole, M. J., Billheimer, D. D., Joshi, P. R., Morrow, J. D., Heslin, M. J., Washington, M. K., Ness, R. M., Zheng, W., Schwartz, D. A., Coffey, R. J., Beauchamp, R. D., & Merchant, N. B. (2006). Urine PGE-M: A Metabolite of Prostaglandin E2 as a Potential Biomarker of Advanced Colorectal Neoplasia. Clinical Gastroenterology and Hepatology, 4(11), 1358-1365.

PMID: 16996805;Abstract:

Background & Aims The enzyme cyclooxygenase-2 is expressed in a majority of colorectal carcinomas (CRCs) and is important in prostaglandin production. We have developed an accurate method to measure the urinary metabolite of prostaglandin E2 (PGE-M) using recently developed mass spectrometric techniques. The purpose of this pre-validation study was to determine if urinary PGE-M levels can be used as a biomarker to discriminate between healthy patients and those with colorectal disease. Methods Urine PGE-M was assessed in a total of 228 patients with CRC, colonic adenomatous polyps, Crohn's disease, and in subjects with no endoscopically detectable disease. Thirteen rectal carcinoma patients were treated with celecoxib and urinary PGE-M was measured before and after treatment. Results Urine PGE-M levels were increased among healthy men compared with healthy women (median, 8.59 [interquartile range (IQR), 5.67-22.3] vs 4.25 [IQR, 2.35-6.03], P = .0027). Urine PGE-M levels among patients with Crohn's disease (median, 19.85 [IQR, 6.89-90.2]), CRC (median, 14.65 [IQR, 5.94-92.1]), or large adenomas greater than 1 cm in size (median, 18.85 [IQR, 11.9-25.6]) were significantly increased when compared with patients who had either small polyps less than 1 cm in size (median, 9.69 [IQR, 6.41-22.2]), or no polyps (median, 7.05 [IQR, 2.35-24.7]) (P = .0001). PGE-M levels decreased significantly after celecoxib treatment in patients with rectal cancer (median, 21.7 [IQR, 16.2-29.9] vs 9.14 [IQR, 7.14-13.2], P = .009). Conclusions The increase in urinary PGE-M in patients with colorectal cancers and large adenomas suggests that urinary PGE-M is a potentially useful biomarker for the detection of advanced colorectal neoplasia. © 2006 AGA Institute.

Chakravarthy, A. B., Kelley, M. C., McLaren, B., Truica, C. I., Billheimer, D., Mayer, I. A., Grau, A. M., Johnson, D. H., Simpson, J. F., Beauchamp, R. D., Jones, C., & Pietenpol, J. A. (2006). Neoadjuvant concurrent paclitaxel and radiation in stage II/III breast cancer. Clinical Cancer Research, 12(5), 1570-1576.

PMID: 16533783;Abstract:

Purpose: The aim of this study was to determine the safety and pathologic response rates following neoadjuvant paclitaxel and radiation in patients with stage II/III breast cancer and to evaluate the use of sequential biopsies to allow an in vivo assessment of biological markers as potential predictive markers of response to this regimen. Patients and Methods: Patients with high-risk, operable breast cancer were treated with three cycles of paclitaxel 175 mg/m2 every 3 weeks, followed by twice-weekly paclitaxel 30 mg/m2 and concurrent radiation. Core biopsies were obtained at baseline and 24 to 72 hours after the first cycle of paclitaxel. After completing neoadjuvant treatment, patients underwent definitive surgery. The primary end point was pathologic complete response, which is defined as the absence of any invasive cancer at surgery. Potential markers of therapeutic response were evaluated including markers of proliferation, apoptosis, p21, HER2, estrogen receptor, and progesterone receptor status. Results: Of the 38 patients enrolled, 13 (34%) had a pathologic complete response. There was no significant difference in baseline Ki-67 between responders (35%) and nonresponders (28%; P = 0.45). There was also no significant change in Ki-67 following paclitaxel administration. Despite this lack of immunohistologic change in proliferative activity, baseline mitotic index was higher for patients with pathologic complete response over nonresponders (27 versus 10, P = 0.003). Moreover, the increase in mitotic index following paclitaxel administration was associated with pathologic complete response. Conclusions: Neoadjuvant paclitaxel/radiation is effective and well tolerated. Tumor proliferation at baseline and response to chemotherapy as measured by mitotic activity may serve as an important indicator of pathologic response to neoadjuvant paclitaxel/radiation. ©2006 American Association for Cancer Research.

Ware, L. B., Koyama, T., Billheimer, D. D., Wu, W., Bernard, G. R., Thompson, B. T., Brower, R. G., Standiford, T. J., Martin, T. R., Matthay, M. A., & , N. A. (2010). Prognostic and pathogenetic value of combining clinical and biochemical indices in patients with acute lung injury. Chest, 137(2), 288-96.

No single clinical or biologic marker reliably predicts clinical outcomes in acute lung injury (ALI)/ARDS. We hypothesized that a combination of biologic and clinical markers would be superior to either biomarkers or clinical factors alone in predicting ALI/ARDS mortality and would provide insight into the pathogenesis of clinical ALI/ARDS.