Barnholtz-Sloan

Jill S. Barnholtz-Sloan, PhD

Professor and Associate Director for Data Sciences/Translational Informatics

jsb42@case.edu | 216.368.1506 | Wolstein Research Bldg. 2526

 

Sally S. Morley Designated Professor in Brain Tumor Research, Department of Population and Quantitative Health Sciences
Associate Director for Data Sciences/Translational Informatics, Case Comprehensive Cancer Center and Cleveland Institute for Computational Biology
Case Western Reserve University School of Medicine

Director, Research Health Analytics and Informatics
University Hospitals Health System (UHHS)

Director, Cleveland Center for Health Outcomes Research (CCHOR)
Case Western Reserve University School of Medicine
Cleveland, Ohio

 

Education

Ph.D., 2000, Biostatistics, University of Texas Health Science Center at Houston (UTHealth) School of Public Health
M.S., 1995, Statistics, University of Texas at Austin
B.S., 1994, Mathematics, University of Florida

Research Interests

Dr. Barnholtz-Sloan is multi-disciplinary researcher trained in biostatistics, population genetics, and human genetics. Her role in team science has been essential for multiple, successful multi-disciplinary research projects. She is the PI of the Ohio Brain Tumor Study (OBTS), which has served as a multi-site tissue source site for The Cancer Genome Atlas (TCGA). She is also the scientific PI of the Central Brain Tumor Registry for the United States (CBTRUS). She has extensive experience with multi-site, brain tumor, patient recruitment and bio specimen collection, storage, and clinical annotation. She has multiple roles in the Case Western (CWRU) School of Medicine and the University Hospitals Health System (UHHS), which all focus on optimizing the use of data and analytics to advance health care.

At CWRU she is the Associate Director for Data Sciences at the Case Comprehensive Cancer Center and the Associate Director for Translational Informatics for the Cleveland Institute of Computational Biology. In these roles, she advances research endeavors by advocating for and assisting researchers in obtaining access to and using large health datasets (publicly available or controlled access) to answer research questions. Dr. Barnholtz-Sloan also aids investigators in the use of secure database infrastructure needed for human subjects’ research, the implementation of robust study designs, as well as the interpretation of results. These efforts aim to reduce the burden and barriers researchers may encounter in gaining access to and analyzing “big data”, enabling them to think about and perform research that has previously not been pursued.

As the Director for Research Health Analytics and Informatics at UHHS, she facilitates access to and analysis of UHHS data. Dr. Barnholtz-Sloan’s efforts focus on aiding clinicians in utilizing “big data” to impact clinical outcomes modeling that can drive both health operations and clinical decision making.

Dr. Barnholtz-Sloan is also Director of the Cleveland Center for Health Outcomes Research (CCHOR), which was established in the summer of 2018. The goal of the CCHOR is to integrate, innovate, and optimize the use of “big data”. CCHOR facilitates access to datasets and helps support analysis to test hypotheses and drive discoveries, facilitating understanding and impact on health.

Together, all of these roles draw upon her extensive experience in hypothesis development, study design and statistical analysis for studies of various phenotypes in humans and animals, and analysis of all types of high throughput “omics” and clinical outcomes data.

Professional Memberships

American Association of Cancer Research
North American Association for Cancer Registries
Society for Neuro Oncology

Recent Publications

  1. Fathi Kazerooni, A, Akbari, H, Shukla, G, Badve, C, Rudie, JD, Sako, C, Rathore, S, Bakas, S, Pati, S, Singh, A, Bergman, M, Ha, SM, Kontos, D, Nasrallah, M, Bagley, SJ, Lustig, RA, O'Rourke, DM, Sloan, AE, Barnholtz-Sloan, JS, Mohan, S, Bilello, M, Davatzikos, C. Cancer Imaging Phenomics via CaPTk: Multi-Institutional Prediction of Progression-Free Survival and Pattern of Recurrence in Glioblastoma. JCO Clin Cancer Inform 2020; 4 : 234-244. PubMed PMID:32191542 .
  2. Davatzikos, C, Barnholtz-Sloan, JS, Bakas, S, Colen, R, Mahajan, A, Quintero, CB, Font, JC, Puig, J, Jain, R, Sloan, AE, Badve, C, Marcus, DS, Choi, YS, Lee, SK, Chang, JH, Poisson, LM, Griffith, B, Dicker, AP, Flanders, AE, Booth, TC, Rathore, S, Akbari, H, Sako, C, Bilello, M, Shukla, G, Kazerooni, AF, Brem, S, Lustig, R, Mohan, S, Bagley, S, Nasrallah, M, O'Rourke, DM. AI-based Prognostic Imaging Biomarkers for Precision Neurooncology: the ReSPOND Consortium. Neuro-oncology 2020; : . PubMed PMID:32152622 .
  3. Barnholtz-Sloan, JS, Rollison, DE, Basu, A, Borowsky, AD, Bui, A, DiGiovanna, J, Garcia-Closas, M, Genkinger, JM, Gerke, T, Induni, M, Lacey, JV Jr, Mirel, L, Permuth, JB, Saltz, J, Shenkman, EA, Ulrich, CM, Zheng, WJ, Nadaf, S, Kibbe, WA. Cancer Informatics for Cancer Centers (CI4CC): Building a Community Focused on Sharing Ideas and Best Practices to Improve Cancer Care and Patient Outcomes. JCO Clin Cancer Inform 2020; 4 : 108-116. PubMed PMID:32078367 .
  4. Molinaro, AM, Hervey-Jumper, S, Morshed, RA, Young, J, Han, SJ, Chunduru, P, Zhang, Y, Phillips, JJ, Shai, A, Lafontaine, M, Crane, J, Chandra, A, Flanigan, P, Jahangiri, A, Cioffi, G, Ostrom, Q, Anderson, JE, Badve, C, Barnholtz-Sloan, J, Sloan, AE, Erickson, BJ, Decker, PA, Kosel, ML, LaChance, D, Eckel-Passow, J, Jenkins, R, Villanueva-Meyer, J, Rice, T, Wrensch, M, Wiencke, JK, Oberheim Bush, NA, Taylor, J, Butowski, N, Prados, M, Clarke, J, Chang, S, Chang, E, Aghi, M, Theodosopoulos, P, McDermott, M, Berger, MS. Association of Maximal Extent of Resection of Contrast-Enhanced and Non-Contrast-Enhanced Tumor With Survival Within Molecular Subgroups of Patients With Newly Diagnosed Glioblastoma. JAMA Oncol 2020; : . PubMed PMID:32027343 PubMed Central PMC7042822.
  5. ICGC/TCGA Pan-Cancer Analysis of Whole Genomes Consortium. Pan-cancer analysis of whole genomes. Nature 2020; 578 (7793): 82-93. PubMed PMID:32025007 PubMed Central PMC7025898.
  6. Tian, YD, Menegay, H, Waite, KA, Saroufim, PG, Beno, MF, Barnholtz-Sloan, JS. Facilitating cancer epidemiologic efforts in Cleveland via creation of longitudinal de-duplicated patient data sets. Cancer Epidemiol. Biomarkers Prev. 2020; : . PubMed PMID:31988074 .
  7. Tish, S, Habboub, G, Lang, M, Ostrom, QT, Kruchko, C, Barnholtz-Sloan, JS, Recinos, PF, Kshettry, VR. The epidemiology of spinal schwannoma in the United States between 2006 and 2014. J Neurosurg Spine 2019; : 1-6. PubMed PMID:31881538 .
  8. Berens, ME, Sood, A, Barnholtz-Sloan, JS, Graf, JF, Cho, S, Kim, S, Kiefer, J, Byron, SA, Halperin, RF, Nasser, S, Adkins, J, Cuyugan, L, Devine, K, Ostrom, Q, Couce, M, Wolansky, L, McDonough, E, Schyberg, S, Dinn, S, Sloan, AE, Prados, M, Phillips, JJ, Nelson, SJ, Liang, WS, Al-Kofahi, Y, Rusu, M, Zavodszky, MI, Ginty, F. Multiscale, multimodal analysis of tumor heterogeneity in IDH1 mutant vs wild-type diffuse gliomas. PLoS ONE 2019; 14 (12): e0219724. PubMed PMID:31881020 PubMed Central PMC6934292.
  9. Gittleman, H, Ostrom, QT, Stetson, LC, Waite, K, Hodges, TR, Wright, CH, Wright, J, Rubin, JB, Berens, ME, Lathia, J, Connor, JR, Kruchko, C, Sloan, AE, Barnholtz-Sloan, JS. Sex is an important prognostic factor for glioblastoma but not for nonglioblastoma. Neurooncol Pract 2019; 6 (6): 451-462. PubMed PMID:31832215 PubMed Central PMC6899055.
  10. Davis, FG, Smith, TR, Gittleman, HR, Ostrom, QT, Kruchko, C, Barnholtz-Sloan, JS. Glioblastoma incidence rate trends in Canada and the United States compared with England, 1995-2015. Neuro-oncology 2020; 22 (2): 301-302. PubMed PMID:31786602 PubMed Central PMC7032629.
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