The Cancer Metabolism and Growth (CMG) Program has the overall goal to determine how oncogenic alterations regulate tumor cell metabolism, growth, proliferation, survival, and tumor-host interaction to facilitate disease progression. The ultimate aim is to identify new approaches to improve cancer treatment through innovative biochemical, molecular and biological research. In vivo approaches to address metabolic, physical and immunologic functions in cancer and state-of-the-art measurement of cancer metabolism are signature Program features that span the Rutgers/Princeton consortium. CMG provides the platform for productive, collaborative, and impactful science, and interfaces with the Cancer Center for the translation of that science, both bench to bedside and bedside to bench. CMG has 59 members from 26 Departments, 10 Schools, and 3 Universities. CMG research is well funded with $14.3M annual direct peer-reviewed grant support, $9.2M of which is cancer-focused (9 multi-PI), with $3M from the NCI (21 R01-equivalent/14 PIs). In the last funding period CMG members published more than 835 papers, 31% of which are collaborative (15% intra- and 22% inter-collaborative) with 21% top-tier journals and 50% collaborative with other institutions. In comparison to the last funding period, this represents an increase in both total and collaborative publications, and seven additional multi-PI grants. Impactful CMG cancer science includes the discovery that circulating lactate is a major supplier of carbon to the tricarboxylic acid (TCA) cycle in tumors, and that the folate pathway significantly contributes to NADPH production. How glutamine metabolism is critical for MYC-driven cancers, how mTOR signaling is controlled by nutrient availability, and how protein and lipid scavenging contribute to cancer growth, proliferation and survival were also discovered by CMG research. Examination of metabolic interactions between tumor and host revealed new mechanisms of metastasis, and how tumors physically interact with their local environment and the immune system. Program members discovered that metastasis represents corruption of normal developmental processes, that cell polarity and tissue/cytoskeletal tension in the tumor microenvironment alter oncogenic signaling via the Hippo and other pathways, and that nutrient scavenging, interferons and the removal of dead cells by efferocytosis alter the immune response to tumors. Translation of CMG research has led to clinical trials targeting metabolism, promoting apoptosis and activating anti-tumor immune responses. In turn, clinical observations have informed CMG research to model treatment, resistance and exceptional responders to identify underlying mechanisms and to improve therapy.

National Institute of Health (NIH)
National Cancer Institute (NCI)
Center Core Grants (P30)
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Subcommittee I - Transistion to Independence (NCI)
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Rbhs -Cancer Institute of New Jersey
New Brunswick
United States
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Paratala, Bhavna S; Chung, Jon H; Williams, Casey B et al. (2018) RET rearrangements are actionable alterations in breast cancer. Nat Commun 9:4821
George, Blessy; Joy, Melanie S; Aleksunes, Lauren M (2018) Urinary protein biomarkers of kidney injury in patients receiving cisplatin chemotherapy. Exp Biol Med (Maywood) 243:272-282
Moloughney, Joseph G; Vega-Cotto, Nicole M; Liu, Sharon et al. (2018) mTORC2 modulates the amplitude and duration of GFAT1 Ser-243 phosphorylation to maintain flux through the hexosamine pathway during starvation. J Biol Chem 293:16464-16478
Jian-Yu E; Graber, Judith M; Lu, Shou-En et al. (2018) Effect of Metformin and Statin Use on Survival in Pancreatic Cancer Patients: a Systematic Literature Review and Meta-analysis. Curr Med Chem 25:2595-2607
Perekatt, Ansu O; Shah, Pooja P; Cheung, Shannon et al. (2018) SMAD4 Suppresses WNT-Driven Dedifferentiation and Oncogenesis in the Differentiated Gut Epithelium. Cancer Res 78:4878-4890
Zhu, Sining; Jin, Juan; Gokhale, Samantha et al. (2018) Genetic Alterations of TRAF Proteins in Human Cancers. Front Immunol 9:2111
Hadigol, Mohammad; Khiabanian, Hossein (2018) MERIT reveals the impact of genomic context on sequencing error rate in ultra-deep applications. BMC Bioinformatics 19:219
Llanos, Adana A M; Tsui, Jennifer; Rotter, David et al. (2018) Factors associated with high-risk human papillomavirus test utilization and infection: a population-based study of uninsured and underinsured women. BMC Womens Health 18:162
Shih, Weichung Joe; Lin, Yong (2018) Relative efficiency of precision medicine designs for clinical trials with predictive biomarkers. Stat Med 37:687-709
Severson, Eric A; Riedlinger, Gregory M; Connelly, Caitlin F et al. (2018) Detection of clonal hematopoiesis of indeterminate potential in clinical sequencing of solid tumor specimens. Blood 131:2501-2505

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