The University of Texas SPORE in Lung Cancer has Projects and Cores at both the University of TexasSouthwestern Medical Center (UTSW, Dallas, TX) and the University of Texas M.D. Anderson CancerCenter (UTMDACC, Houston, TX) sites that involve multiple clinical and basic investigators. These Projectsand Cores and the reagents and large datasets generated need to be analyzed by, and shared betweenSPORE investigators, Projects, and Cores and also need to be shared with investigators at other institutionsand with other Lung Cancer SPOREs. In addition, bioinformatics tools are needed to help store, extract,manipulate and interpret this data. Also this data needs to have reliable backup. Finally, there is a largeamount of new data being reported in the literature and deposited into accessible databases to which ourSPORE investigators need access. These needs led to the creation and development of thisBioinformatics Core (Core D). The goal of this Core is to develop and maintain database integration and adata sharing website of information developed in the Projects and Cores that is important to many SPOREinvestigators as well as aid in the development and use of data analysis mining tools in support of theprojects of this SPORE. This Core must deploy these enabling technologies to meet the needs of all of theSPORE Projects and Cores. After de-identification of patient information in SPORE Pathology Core B,this Core will help SPORE investigators gather complete data sets on SPORE laboratory and clinicalsamples, as well as publicly available datasets, interface these datasets with the SPORE Biostatistics Core(Core C), and then assist SPORE investigators and CORE C in the interpretation of these data using datamining techniques. This includes interaction with other Lung Cancer SPOREs and institutions. Other facilitiesinclude educational modules/classes, identification/testing of new technologies/methods of potential value toall SPORE researchers, and the large complement of computational codes and databases made availableon our servers at http://spore.swmed.edu. Software, available over the web or via downloadable modules forthe analysis of expression data, genomics experimental design, text mining and DMA sequence analysis wasproduced and is used by SPORE researchers. This Core has 4 specific aims: 1. Development of internetaccessible databases for data sharing and analysis, and development of computational biology, resources; 2.Development of a distributed computational infrastructure for integrated data management and analysis; 3.Develop and perform data quality and assurance procedures. 4. Enhance and maintain the SPORE website. This Core is led by Dr. Garner (with aid from Dr. Ahn for clinical data sharing issues) and Dr. Almeidathat are both area experts and have each developed important components for this system and have beenpioneering in data-sharing efforts at their respective institutions.

Agency
National Institute of Health (NIH)
Institute
National Cancer Institute (NCI)
Type
Specialized Center (P50)
Project #
2P50CA070907-11
Application #
7507395
Study Section
Special Emphasis Panel (ZCA1-GRB-I (M1))
Project Start
2008-09-01
Project End
2013-04-30
Budget Start
2008-09-01
Budget End
2009-04-30
Support Year
11
Fiscal Year
2008
Total Cost
$91,031
Indirect Cost
Name
University of Texas Sw Medical Center Dallas
Department
Type
DUNS #
800771545
City
Dallas
State
TX
Country
United States
Zip Code
75390
Akbay, Esra A; Kim, James (2018) Autochthonous murine models for the study of smoker and never-smoker associated lung cancers. Transl Lung Cancer Res 7:464-486
Zhang, Wei; Girard, Luc; Zhang, Yu-An et al. (2018) Small cell lung cancer tumors and preclinical models display heterogeneity of neuroendocrine phenotypes. Transl Lung Cancer Res 7:32-49
Tan, Xiaochao; Banerjee, Priyam; Liu, Xin et al. (2018) The epithelial-to-mesenchymal transition activator ZEB1 initiates a prometastatic competing endogenous RNA network. J Clin Invest 128:1267-1282
McMillan, Elizabeth A; Ryu, Myung-Jeom; Diep, Caroline H et al. (2018) Chemistry-First Approach for Nomination of Personalized Treatment in Lung Cancer. Cell 173:864-878.e29
Walser, Tonya C; Jing, Zhe; Tran, Linh M et al. (2018) Silencing the Snail-Dependent RNA Splice Regulator ESRP1 Drives Malignant Transformation of Human Pulmonary Epithelial Cells. Cancer Res 78:1986-1999
Skoulidis, Ferdinandos; Goldberg, Michael E; Greenawalt, Danielle M et al. (2018) STK11/LKB1 Mutations and PD-1 Inhibitor Resistance in KRAS-Mutant Lung Adenocarcinoma. Cancer Discov 8:822-835
Zhou, Xiaorong; Padanad, Mahesh S; Evers, Bret M et al. (2018) Modulation of Mutant KrasG12D -Driven Lung Tumorigenesis In Vivo by Gain or Loss of PCDH7 Function. Mol Cancer Res :
Ferdosi, Shadi; Rehder, Douglas S; Maranian, Paul et al. (2018) Stage Dependence, Cell-Origin Independence, and Prognostic Capacity of Serum Glycan Fucosylation, ?1-4 Branching, ?1-6 Branching, and ?2-6 Sialylation in Cancer. J Proteome Res 17:543-558
Pietanza, M Catherine; Waqar, Saiama N; Krug, Lee M et al. (2018) Randomized, Double-Blind, Phase II Study of Temozolomide in Combination With Either Veliparib or Placebo in Patients With Relapsed-Sensitive or Refractory Small-Cell Lung Cancer. J Clin Oncol 36:2386-2394
Abrams, Zachary B; Zucker, Mark; Wang, Min et al. (2018) Thirty biologically interpretable clusters of transcription factors distinguish cancer type. BMC Genomics 19:738

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