Abstract

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.

  Funding Agency

Agency
National Institute of Health (NIH)
Institute
National Cancer Institute (NCI)
Type
Specialized Center (P50)
Project #
3P50CA070907-03S1
Application #
6296130
Study Section
Project Start
1998-09-01
Project End
1999-08-31
Budget Start
1998-10-01
Budget End
1999-09-30
Support Year
3
Fiscal Year
1998
Total Cost
Indirect Cost

  Institution

Name
University of Texas Sw Medical Center Dallas
Department
Type
DUNS #
City
Dallas
State
TX
Country
United States
Zip Code
75390

  Publications

Abrams, Zachary B; Zucker, Mark; Wang, Min et al. (2018) Thirty biologically interpretable clusters of transcription factors distinguish cancer type. BMC Genomics 19:738
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
Huang, Fang; Ni, Min; Chalishazar, Milind D et al. (2018) Inosine Monophosphate Dehydrogenase Dependence in a Subset of Small Cell Lung Cancers. Cell Metab 28:369-382.e5
Tanaka, Ichidai; Sato, Mitsuo; Kato, Toshio et al. (2018) eIF2?, a subunit of translation-initiation factor EIF2, is a potential therapeutic target for non-small cell lung cancer. Cancer Sci 109:1843-1852
Pozo, Karine; Minna, John D; Johnson, Jane E (2018) Identifying a missing lineage driver in a subset of lung neuroendocrine tumors. Genes Dev 32:865-867
Robichaux, Jacqulyne P; Elamin, Yasir Y; Tan, Zhi et al. (2018) Mechanisms and clinical activity of an EGFR and HER2 exon 20-selective kinase inhibitor in non-small cell lung cancer. Nat Med 24:638-646
Cascone, Tina; McKenzie, Jodi A; Mbofung, Rina M et al. (2018) Increased Tumor Glycolysis Characterizes Immune Resistance to Adoptive T Cell Therapy. Cell Metab 27:977-987.e4
Fan, C-W; Yarravarapu, N; Shi, H et al. (2018) A synthetic combinatorial approach to disabling deviant Hedgehog signaling. Sci Rep 8:1133
Ng, Patrick Kwok-Shing; Li, Jun; Jeong, Kang Jin et al. (2018) Systematic Functional Annotation of Somatic Mutations in Cancer. Cancer Cell 33:450-462.e10
Cascone, Tina; Gold, Kathryn A; Swisher, Stephen G et al. (2018) Induction Cisplatin Docetaxel Followed by Surgery and Erlotinib in Non-Small Cell Lung Cancer. Ann Thorac Surg 105:418-424

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