The goal of the Cancer Imaging and Early Detection Program is to advance cancer research, diagnosis, and management by carrying out novel research using multimodality anatomical and molecular imaging (MI) strategies. This goal will be achieved through the development and application of multimodality imaging strategies to reveal the molecular basis of disease, to develop multiparametric diagnostic tools and to advance effective treatment for cancer. The program comprises of investigators from seven specialty areas: imaging instrumentation/engineering;modeling/biostatistics;chemistry;molecular imaging; cancer biology/proteomics;mouse models/small animal imaging applications in cancer therapy;and clinical oncology. Research by program members has resulted in both new tools for imaging and new insights in cancer biology and responses to therapy. These exciting findings include new methods to image cancer gene therapy;imaging of immune cell trafficking and effective immunotherapies;next-generation of probes for imaging apoptosis/angiogenesis;innovative endoscopic optical imaging strategies;proteomic nanosensors for in vitro diagnostics;advances in instrumentation for small animal imaging;and translation of clinical cancer imaging strategies. The significant expansion of the program in this last two-year period is the foundation for continued growth, in part, through the addition of a new center for early cancer detection, which brings together scientists focused on both in vitro and in vivo diagnostics. The Program adds value to the Center by bringing biologists, chemists, engineers, radiologists, computational scientists and clinical and translational researchers together to solve the hard problems In imaging and address unmet needs in oncology. The 43 program members come from 12 departments in the Schools of Medicine, Engineering and Humanities &Sciences. Members are major participants in one P50 program project, four U54 projects, and two NCI T32 funded postdoctoral training grants. The members are also actively engaged with other cancer centers around the country including the Fred Hutchinson Cancer Research Center and are extending to clinical trials that involve centers beyond the U.S.A (eg. South Africa and India). The leadership is united in its goals for program development to advance cancer imaging. The program currently receives $8.7 million in extramural funding from the NCI and $6.3 million in other NIH research support.

Agency
National Institute of Health (NIH)
Institute
National Cancer Institute (NCI)
Type
Center Core Grants (P30)
Project #
2P30CA124435-04
Application #
8180975
Study Section
Subcommittee G - Education (NCI)
Project Start
2010-09-15
Project End
2015-05-31
Budget Start
2010-09-15
Budget End
2011-05-31
Support Year
4
Fiscal Year
2010
Total Cost
$15,722
Indirect Cost
Name
Stanford University
Department
Type
DUNS #
009214214
City
Stanford
State
CA
Country
United States
Zip Code
94305
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
Pollom, Erqi L; Fujimoto, Dylann K; Han, Summer S et al. (2018) Newly diagnosed glioblastoma: adverse socioeconomic factors correlate with delay in radiotherapy initiation and worse overall survival. J Radiat Res 59:i11-i18
Nørgaard, Caroline Holm; Jakobsen, Lasse Hjort; Gentles, Andrew J et al. (2018) Subtype assignment of CLL based on B-cell subset associated gene signatures from normal bone marrow - A proof of concept study. PLoS One 13:e0193249
Im, Hogune; Rao, Varsha; Sridhar, Kunju et al. (2018) Distinct transcriptomic and exomic abnormalities within myelodysplastic syndrome marrow cells. Leuk Lymphoma 59:2952-2962
Huang, Min; Zhu, Li; Garcia, Jacqueline S et al. (2018) Brd4 regulates the expression of essential autophagy genes and Keap1 in AML cells. Oncotarget 9:11665-11676
Chiou, Shin-Heng; Dorsch, Madeleine; Kusch, Eva et al. (2018) Hmga2 is dispensable for pancreatic cancer development, metastasis, and therapy resistance. Sci Rep 8:14008
Breslow, David K; Hoogendoorn, Sascha; Kopp, Adam R et al. (2018) A CRISPR-based screen for Hedgehog signaling provides insights into ciliary function and ciliopathies. Nat Genet 50:460-471

Showing the most recent 10 out of 322 publications