The Biostatistics, Data Management, and Bioinformatics Core forthe University of Texas M.D. Anderson Cancer Center Leukemia SPORE will be a comprehensive, multilateral resource for data acquisition and management, design of laboratory experiments and clinical trials, development of innovative statistical methodology, statistical analysis, and publishing translational research generated through the Leukemia SPORE program. The Biostatistics, Data Management, and Bioinformatics Core will incorporate sound experimental design principles within all Projects, will carry out data analyses using appropriate statistical methodology, and will contribute to interpretation of results through written reports and frequent interaction with Project investigators. The Biostatistics, Data Management, and Bioinformatics Core will provide an integrated data management system to facilitate communication among all Projects and Cores, which will be customized to meet the needs of the Department of Leukemia. This process includes prospective data collection, data quality control, data security, and patient confidentiality. Thus, from inception to reporting, translational experiments will benefit from SPORE resources that will be used to augment existing M. D. Anderson biostatistics resources.
Effective biostatistical consultation and collaboration on the design, conduct, analysis, and interpretation of research studies increases the likelihood that such studies will achieve their objectives, and that valid conclusions will be drawn. Utilization of appropriate biostatistical models and methods in the preparation of reports and interpretation of studies is essential to reaching correct conclusions and to ensure the publication of results in appropriate journals.
|St John, Lisa S; Wan, Liping; He, Hong et al. (2016) PR1-specific cytotoxic T lymphocytes are relatively frequent in umbilical cord blood and can be effectively expanded to target myeloid leukemia. Cytotherapy 18:995-1001|
|Lee, H J; Gallardo, M; Ma, H et al. (2016) p53-independent ibrutinib responses in an EÎ¼-TCL1 mouse model demonstrates efficacy in high-risk CLL. Blood Cancer J 6:e434|
|Pemmaraju, Naveen; Kantarjian, Hagop; Ravandi, Farhad et al. (2016) Patient Characteristics and Outcomes in Adolescents and Young Adults (AYA) With Acute Myeloid Leukemia (AML). Clin Lymphoma Myeloma Leuk 16:213-222.e2|
|Van Roosbroeck, Katrien; Fanini, Francesca; Setoyama, Tetsuro et al. (2016) Combining anti-miR-155 with chemotherapy for the treatment of lung cancers. Clin Cancer Res :|
|Ravandi, Farhad; Jorgensen, Jeffrey L; O'Brien, Susan M et al. (2016) Minimal residual disease assessed by multi-parameter flow cytometry is highly prognostic in adult patients with acute lymphoblastic leukaemia. Br J Haematol 172:392-400|
|Chawla, Akhil; Alatrash, Gheath; Philips, Anne V et al. (2016) Neutrophil elastase enhances antigen presentation by upregulating human leukocyte antigen class I expression on tumor cells. Cancer Immunol Immunother 65:741-51|
|Wen, Sijin; Huang, Xuelin; Frankowski, Ralph F et al. (2016) A Bayesian multivariate joint frailty model for disease recurrences and survival. Stat Med 35:4794-4812|
|Kanagal-Shamanna, Rashmi; Luthra, Rajyalakshmi; Yin, Cameron C et al. (2016) Myeloid neoplasms with isolated isochromosome 17q demonstrate a high frequency of mutations in SETBP1, SRSF2, ASXL1 and NRAS. Oncotarget 7:14251-8|
|Pan, D; Jiang, C; Ma, Z et al. (2016) MALT1 is required for EGFR-induced NF-ÎºB activation and contributes to EGFR-driven lung cancer progression. Oncogene 35:919-28|
|Leiva-JuÃ¡rez, Miguel M; Ware, Hayden H; Kulkarni, Vikram V et al. (2016) Inducible epithelial resistance protects mice against leukemia-associated pneumonia. Blood 128:982-92|
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