The Cancer Biology Program is focused on investigating the mechanisms and signaling pathways involved in malignant transformation. The goals are to advance basic understanding of cancer pathogenesis and to facilitate the translation of basic science discoveries into the clinical arena through collaborations to improve the outcome of patients with cancer. Program research centers on three major scientific themes: Theme 1: Mechanisms and Pathways of Oncogenesis. Investigations are focused on mechanistic analyses of oncogenes and tumor suppressor genes, as well as the control of cell division, genomic stability and DNA damage checkpoints that underlie and drive cancer pathogenesis. Theme 2: Epigenetics. Diverse approaches are being employed to investigate the epigenetic factors and perturbations that are increasingly associated with a wide spectrum of malignancies, with a particular focus on factors that maintain and read the histone code, as well as the chromatin remodeling machinery and IncRNAs that have epigenetic relevance. Theme 3: Epithelial Neoplasia. The molecular and cellular biology of solid tumors, including lung, GI, skin and GU neoplasias, are being investigated using a variety of in vitro and in vivo model systems. Major achievements in this funding period include characterization of oncogenic BAF fusion proteins in synovial sarcomas, derivation of novel techniques for assessing genome-wide chromatin accessibility, discovery and characterization of epigenetic lncRNAs, validation of novel oncogenes in organoid cultures, scaffold targeting of the MAPK pathway, and identification of new downstream targets in the Hedgehog (Hh) signaling pathway. Co-led by Michael Cleary, MD, and Calvin Kuo, MD, PhD, the 40 program members represent three schools (the School of Medicine, the School of Humanities & Sciences and the School of Engineering), 14 Departments, and five Divisions within the Department of Medicine. The research activities of the 40 investigators are supported by 80 peer-reviewed, investigator-initiated grants and 3 T32 training awards. Peer-reviewed funding consists of $28.1M in total costs/year of which $9.5M is from the NCI. Other NIH support amounts to $16.5M and other peer-reviewed support to $2.1M. Since 2009, program investigators have published over 280 manuscripts relevant to cancer biology in peer-reviewed journals of which 15% are intra-programmatic and 48% inter-programmatic, with numerous externally collaborative manuscripts. The SCI will continue to be invaluable in seeding innovative projects and in assisting with the translation of the basic science findings from this program into new approaches to the diagnosis and treatment of patients with cancer.

Public Health Relevance

? OVERALL The Stanford Cancer Institute (SCI) brings together researchers from across Stanford University and from the Cancer Prevention Institute of California with the goals of improving cancer prevention, detection, diagnosis, treatment, and outcomes for individuals and for populations, both within our region and in the world at large. The SCI has a compelling history of cancer discovery that has accelerated with the development of innovative new technologies, a strong focus on understanding the etiologies of cancers in individuals and in populations, and a mission to translate findings to improve the care of cancer patients. With the support of the Cancer Center Support Grant, the SCI will make major contributions across the spectrum of research from basic discovery through clinical application to the population sciences that will enhance our understanding of disease processes, bring new diagnostic and therapeutic modalities to patients, facilitate risk assessment and prevention, and improve the overall outlook for individuals afflicted with or at risk for cancer.

National Institute of Health (NIH)
National Cancer Institute (NCI)
Center Core Grants (P30)
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Special Emphasis Panel (ZCA1-RTRB-0 (P1))
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Marino, Michael A
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Stanford University
Internal Medicine/Medicine
Schools of Medicine
United States
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Lee, Bee L; Fan, Shenghua K; Lu, Ying (2017) A curve-free Bayesian decision-theoretic design for two-agent Phase I trials. J Biopharm Stat 27:34-43
Mohanty, Suchismita; Chen, Zixin; Li, Kai et al. (2017) A Novel Theranostic Strategy for MMP-14-Expressing Glioblastomas Impacts Survival. Mol Cancer Ther 16:1909-1921
Alcántara-Hernández, Marcela; Leylek, Rebecca; Wagar, Lisa E et al. (2017) High-Dimensional Phenotypic Mapping of Human Dendritic Cells Reveals Interindividual Variation and Tissue Specialization. Immunity 47:1037-1050.e6
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Clarke, Christina A; Glaser, Sally L; Leung, Rita et al. (2017) Prevalence and characteristics of cancer patients receiving care from single vs. multiple institutions. Cancer Epidemiol 46:27-33
Han, Summer S; Ten Haaf, Kevin; Hazelton, William D et al. (2017) The impact of overdiagnosis on the selection of efficient lung cancer screening strategies. Int J Cancer 140:2436-2443
Wender, Paul A; Hardman, Clayton T; Ho, Stephen et al. (2017) Scalable synthesis of bryostatin 1 and analogs, adjuvant leads against latent HIV. Science 358:218-223

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