PROGRAM PLANNING AND EVALUATION The Cancer Center has benefited from broad participation of the membership in its planning and implementation process. In addition, it has taken advantage of formal and ad hoc consultations that have had a major impact on program development. The leadership intends to continue to receive outside consultation, as well as advice from within the institution as it goes forward. External Scientific Advisory Board The development of the Cancer Center has been to a large extent guided by the advice of the External Scientific Advisory Board, which has convened on two occasions (March, 2004 and May, 2005) on the Stanford campus to comment on progress in the recruitment of the senior leadership and to evaluate the research programs and shared resources. This Board is constituted of highly experienced scientists, administrators and leaders from the cancer research community, all of whom have considerable expertise in the planning and evaluation of NCI-designated Comprehensive Cancer Centers. Their input has been invaluable and has continued to the time of submission of this proposal with consultations through telephone and e-mail. This Board will provide an ongoing source of consultation to the leadership as it evaluates its current activities and develops new initiatives.

Agency
National Institute of Health (NIH)
Institute
National Cancer Institute (NCI)
Type
Center Core Grants (P30)
Project #
5P30CA124435-03
Application #
7826887
Study Section
Subcommittee G - Education (NCI)
Project Start
Project End
Budget Start
2009-06-01
Budget End
2010-05-31
Support Year
3
Fiscal Year
2009
Total Cost
$146,326
Indirect Cost
Name
Stanford University
Department
Type
DUNS #
009214214
City
Stanford
State
CA
Country
United States
Zip Code
94305
Kuonen, François; Surbeck, Isabelle; Sarin, Kavita Y et al. (2018) TGF?, Fibronectin and Integrin ?5?1 Promote Invasion in Basal Cell Carcinoma. J Invest Dermatol 138:2432-2442
Gee, Marvin H; Han, Arnold; Lofgren, Shane M et al. (2018) Antigen Identification for Orphan T Cell Receptors Expressed on Tumor-Infiltrating Lymphocytes. Cell 172:549-563.e16
Malta, Tathiane M; Sokolov, Artem; Gentles, Andrew J et al. (2018) Machine Learning Identifies Stemness Features Associated with Oncogenic Dedifferentiation. Cell 173:338-354.e15
Banerjee, Imon; Gensheimer, Michael Francis; Wood, Douglas J et al. (2018) Probabilistic Prognostic Estimates of Survival in Metastatic Cancer Patients (PPES-Met) Utilizing Free-Text Clinical Narratives. Sci Rep 8:10037
Thorsson, Vésteinn; Gibbs, David L; Brown, Scott D et al. (2018) The Immune Landscape of Cancer. Immunity 48:812-830.e14
Rogers, Zoë N; McFarland, Christopher D; Winters, Ian P et al. (2018) Mapping the in vivo fitness landscape of lung adenocarcinoma tumor suppression in mice. Nat Genet 50:483-486
Nair, Viswam S; Sundaram, Vandana; Desai, Manisha et al. (2018) Accuracy of Models to Identify Lung Nodule Cancer Risk in the National Lung Screening Trial. Am J Respir Crit Care Med 197:1220-1223
She, Richard; Jarosz, Daniel F (2018) Mapping Causal Variants with Single-Nucleotide Resolution Reveals Biochemical Drivers of Phenotypic Change. Cell 172:478-490.e15
Champion, Magali; Brennan, Kevin; Croonenborghs, Tom et al. (2018) Module Analysis Captures Pancancer Genetically and Epigenetically Deregulated Cancer Driver Genes for Smoking and Antiviral Response. EBioMedicine 27:156-166
Zhou, Mu; Leung, Ann; Echegaray, Sebastian et al. (2018) Non-Small Cell Lung Cancer Radiogenomics Map Identifies Relationships between Molecular and Imaging Phenotypes with Prognostic Implications. Radiology 286:307-315

Showing the most recent 10 out of 322 publications