Abstract

CCSG developmental funds leveraged additional institutional support and provided an exceptionally strong return on investment. The $350,000 CCSG support of the New Investigator Award Program was supplemented by $80,000 of institutional/philanthropic funds, allocated to eight new faculty recruits, and generated a total of $9 million (total costs) in grant support. The $1.2 million CCSG support of the Pilot Project Program was supplemented by $1.5 million of institutional/philanthropic funds, generating $17.8 million (total costs) in grant support. The grand total of $26.8 million return on investment (ROI) includes over $26.6 million in peer reviewed grant support, and represents a 17.5-fold ROI of CCSG funds invested for New Investigator Awards and Pilot Projects. CCSG developmental funds further enabled shared resource evolution. The Metabolomics shared resource has matured to an established shared resource that offers unique technical expertise and ease-of-access to state-of-the-art instrumentation and current protocols that are not available in most individual investigator laboratories; this resource continues to fuel collaborative research with Princeton University and over a recent twelve-month period, served 19 investigators (17 of whom are CINJ members) across three CINJ programs. Given the continued substantial growth of the CINJ research enterprise, and the successful use of developmental funds in the current project period, we request $425,000 per year to be used in three categories: 1) recruitment of investigators in areas of strategic priority for CINJ (New Investigator Award program), 2) development of new shared resources in Immune Monitoring (responding to the Director?s initiative in Immune Oncology) and Small Molecule Screening (critical to all Basic programs and specifically responsive to a 2011 critique of the Cancer Pharmacology Program), and 3) pilot awards (Pilot Project program) to promote novel, collaborative research aligned with strategic priorities.

  Funding Agency

Agency
National Institute of Health (NIH)
Institute
National Cancer Institute (NCI)
Type
Center Core Grants (P30)
Project #
5P30CA072720-22
Application #
10112884
Study Section
Subcommittee I - Transistion to Independence (NCI)
Project Start
1997-03-01
Project End
2024-02-29
Budget Start
2021-03-01
Budget End
2022-02-28
Support Year
22
Fiscal Year
2021
Total Cost
Indirect Cost

  Institution

Name
Rbhs -Cancer Institute of New Jersey
Department
Type
DUNS #
078728091
City
New Brunswick
State
NJ
Country
United States
Zip Code
08901

  Publications

Feng, Simin; Dai, Zhuqing; Liu, Anna B et al. (2018) Intake of stigmasterol and ?-sitosterol alters lipid metabolism and alleviates NAFLD in mice fed a high-fat western-style diet. Biochim Biophys Acta Mol Cell Biol Lipids 1863:1274-1284
DeRenzo, Evan G; Moss, Joel; Singer, Eric A (2018) Implications of the Revised Common Rule for Human Participant Research. Chest :
Khiabanian, Hossein; Hirshfield, Kim M; Goldfinger, Mendel et al. (2018) Inference of Germline Mutational Status and Evaluation of Loss of Heterozygosity in High-Depth, Tumor-Only Sequencing Data. JCO Precis Oncol 2018:
Song, Mihae; Kumaran, Muthu N; Gounder, Murugesan et al. (2018) Phase I trial of selenium plus chemotherapy in gynecologic cancers. Gynecol Oncol 150:478-486
Gupta, Apar; Ohri, Nisha; Haffty, Bruce G (2018) Hypofractionated whole breast irradiation is cost-effective-but is that enough to change practice? Transl Cancer Res 7:S469-S472
Rabadan, Raul; Bhanot, Gyan; Marsilio, Sonia et al. (2018) On statistical modeling of sequencing noise in high depth data to assess tumor evolution. J Stat Phys 172:143-155
Liu, Ling; Su, Xiaoyang; Quinn 3rd, William J et al. (2018) Quantitative Analysis of NAD Synthesis-Breakdown Fluxes. Cell Metab 27:1067-1080.e5
Ding, Qiang; Nimgaonkar, Ila; Archer, Nicholas F et al. (2018) Identification of the Intragenomic Promoter Controlling Hepatitis E Virus Subgenomic RNA Transcription. MBio 9:
Liu, Anna B; Tao, Siyao; Lee, Mao-Jung et al. (2018) Effects of gut microbiota and time of treatment on tissue levels of green tea polyphenols in mice. Biofactors :
Liu, Gang; Mukherjee, Bhramar; Lee, Seunggeun et al. (2018) Robust Tests for Additive Gene-Environment Interaction in Case-Control Studies Using Gene-Environment Independence. Am J Epidemiol 187:366-377

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