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 #
1P50CA070907-01
Application #
5209553
Study Section
Project Start
Project End
Budget Start
Budget End
Support Year
1
Fiscal Year
1996
Total Cost
Indirect Cost
Mender, Ilgen; LaRanger, Ryan; Luitel, Krishna et al. (2018) Telomerase-Mediated Strategy for Overcoming Non-Small Cell Lung Cancer Targeted Therapy and Chemotherapy Resistance. Neoplasia 20:826-837
Gong, Ke; Guo, Gao; Gerber, David E et al. (2018) TNF-driven adaptive response mediates resistance to EGFR inhibition in lung cancer. J Clin Invest 128:2500-2518
Wang, Jacqueline F; Pu, Xingxiang; Zhang, Xiaoshan et al. (2018) Variants with a low allele frequency detected in genomic DNA affect the accuracy of mutation detection in cell-free DNA by next-generation sequencing. Cancer 124:1061-1069
Pierzynski, Jeanne A; Ye, Yuanqing; Lippman, Scott M et al. (2018) Socio-demographic, Clinical, and Genetic Determinants of Quality of Life in Lung Cancer Patients. Sci Rep 8:10640
Rashdan, Sawsan; Minna, John D; Gerber, David E (2018) Diagnosis and management of pulmonary toxicity associated with cancer immunotherapy. Lancet Respir Med 6:472-478
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
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
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
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
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

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