SPORE Core C: Biostatistics Core. The research proposed by The University of Texas SPORE in Lung Cancer encompasses a broad range of activities, including studies in cell lines, animal models, and clinical trials. These studies will generate many different types of data, including not only conventional clinical, epidemiological, biochemical, and immunohistochemical measurements, but also dose response curves, gene expression microarrays, reverse phase protein lysate arrays (RPPA), cytokine assays, and assessments of the frequency of single nucleotide polymorphisms (SNPs). The Biostatistics Core provides comprehensive biostatistics expertise to ensure the statistical integrity and to optimize data analysis of the studies by the SPORE, which are conducted at the Southwestern Medical Center (UTSW) and the M.D. Anderson Cancer Center (MDACC). The Core assists investigators with the proper planning of experiments, cooperates with Core D (Bioinformatics) to manage experimental data generated by Lung SPORE projects, and conducts statistical analyses for Lung SPORE investigators. The Core has the flexibility to match personnel to the evolving needs of existing and developmental SPORE projects. Members of the Core participate in monthly SPORE video conferences linking researchers at UTSW in Dallas, TX and M.D. Anderson Cancer Center in Houston, TX, and at times investigators at other institutions (e.g. University of Texas, Austin), ensuring that proper consideration is taken of biostatistics and data management issues during all phases of SPORE experiments. To carry out its responsibilities, the Core has the following Specific Aims:
Aim 1 : To provide valid statistical designs of laboratory research, clinical trials and translational experiments arising from the ongoing research of the SPORE.
Aim 2 : To oversee and conduct the innovative statistical modeling, simulations, and data analyses needed by the Projects, Developmental and Career Projects, and the other Cores to achieve their specific aims.
Aim 3 : To ensure that the results of all Projects are based on well-designed experiments, appropriately interpreted, and to assist in the preparation of manuscripts describing these results.
Aim 4 : To work closely with Core D (Bioinformatics) in the configuration of the integrated database application programming interface (API) to facilitate automation of statistical analysis procedures and development of computational tools, and make them available to all SPORE participants.

Agency
National Institute of Health (NIH)
Institute
National Cancer Institute (NCI)
Type
Specialized Center (P50)
Project #
3P50CA070907-15W1
Application #
8731340
Study Section
Special Emphasis Panel (ZCA1-GRB-I)
Project Start
2013-09-12
Project End
2014-08-31
Budget Start
2013-09-12
Budget End
2014-08-31
Support Year
15
Fiscal Year
2013
Total Cost
$65,909
Indirect Cost
$16,141
Name
University of Texas MD Anderson Cancer Center
Department
Type
DUNS #
800772139
City
Houston
State
TX
Country
United States
Zip Code
77030
Parra, Edwin R; Villalobos, Pamela; Mino, Barbara et al. (2018) Comparison of Different Antibody Clones for Immunohistochemistry Detection of Programmed Cell Death Ligand 1 (PD-L1) on Non-Small Cell Lung Carcinoma. Appl Immunohistochem Mol Morphol 26:83-93
Yamauchi, Mitsuo; Barker, Thomas H; Gibbons, Don L et al. (2018) The fibrotic tumor stroma. J Clin Invest 128:16-25
Ma, Junsheng; Hobbs, Brian P; Stingo, Francesco C (2018) Integrating genomic signatures for treatment selection with Bayesian predictive failure time models. Stat Methods Med Res 27:2093-2113
Yi, Faliu; Yang, Lin; Wang, Shidan et al. (2018) Microvessel prediction in H&E Stained Pathology Images using fully convolutional neural networks. BMC Bioinformatics 19:64
Song, Kai; Bi, Jia-Hao; Qiu, Zhe-Wei et al. (2018) A quantitative method for assessing smoke associated molecular damage in lung cancers. Transl Lung Cancer Res 7:439-449
Ji, Xuemei; Bossé, Yohan; Landi, Maria Teresa et al. (2018) Identification of susceptibility pathways for the role of chromosome 15q25.1 in modifying lung cancer risk. Nat Commun 9:3221
He, Min; Liu, Shanshan; Gallolu Kankanamalage, Sachith et al. (2018) The Epithelial Sodium Channel (?ENaC) Is a Downstream Therapeutic Target of ASCL1 in Pulmonary Neuroendocrine Tumors. Transl Oncol 11:292-299
Parra, Edwin R; Villalobos, Pamela; Behrens, Carmen et al. (2018) Effect of neoadjuvant chemotherapy on the immune microenvironment in non-small cell lung carcinomas as determined by multiplex immunofluorescence and image analysis approaches. J Immunother Cancer 6:48
Guo, Hou-Fu; Tsai, Chi-Lin; Terajima, Masahiko et al. (2018) Pro-metastatic collagen lysyl hydroxylase dimer assemblies stabilized by Fe2+-binding. Nat Commun 9:512
Meraz, Ismail M; Majidi, Mourad; Cao, Xiaobo et al. (2018) TUSC2 Immunogene Therapy Synergizes with Anti-PD-1 through Enhanced Proliferation and Infiltration of Natural Killer Cells in Syngeneic Kras-Mutant Mouse Lung Cancer Models. Cancer Immunol Res 6:163-177

Showing the most recent 10 out of 1059 publications