The purposes of the Informatics Core are: 1.To provide assistance to each project in the gathering, and maintenance of data; 2. To facilitate the sharing of data and results between projects; 3. To provide assistance to individual projects in the analysis including biostatistical analysis of data and the planning of experiments and studies; 4. To assist in the design and analysis studies from collaboration between the individual projects.
The specific aims of the Informatics Core are as follows: 1. To provide the statistical analysis required to achieve the specific aims of each project; 2. To assist in the design of new research arising from individuals projects; 3. To assist in the exchange of information and results between projects; 4. To aid in the design and analysis of new studies arising from such collaborations; 5. To supervise and coordinate the collection of data for each project; 6. To assist in the collection, entry, and maintenance of data specific to each project; 7. To facilitate the transfer of data between projects; 8. To maintain connectedness of data bases through the use of a central data base containing minimal information on all patients enrolled in any project; 9. For all clinical trials to provide for rigorous data management, quality assurance, auditing procedures, and confidentiality of clinical data.

Agency
National Institute of Health (NIH)
Institute
National Cancer Institute (NCI)
Type
Specialized Center (P50)
Project #
5P50CA070907-03
Application #
6269757
Study Section
Project Start
1998-09-01
Project End
1999-08-31
Budget Start
1997-10-01
Budget End
1998-09-30
Support Year
3
Fiscal Year
1998
Total Cost
Indirect Cost
City
Dallas
State
TX
Country
United States
Zip Code
75390
Wang, Shidan; Chen, Alyssa; Yang, Lin et al. (2018) Comprehensive analysis of lung cancer pathology images to discover tumor shape and boundary features that predict survival outcome. Sci Rep 8:10393
Gomez, Daniel Richard; Byers, Lauren Averett; Nilsson, Monique et al. (2018) Integrative proteomic and transcriptomic analysis provides evidence for TrkB (NTRK2) as a therapeutic target in combination with tyrosine kinase inhibitors for non-small cell lung cancer. Oncotarget 9:14268-14284
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

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