GENOMIC INSTABILITY AND CANCER GENETICS PROGRAM PROJECT SUMMARY/ABSTRACT The Genomic Instability and Cancer Genetics (GICG) Program is organized around the central concepts that cancer results from the accumulation of genomic alterations, and that well-defined descriptions of DNA repair mechanisms, cancer genomes, and gene expression landscapes can reveal the vulnerability of cancer to interventions. The overall goal is to determine how cells maintain the integrity of their genomes, define the landscapes of cancer genomes, and facilitate identification of biomarkers and therapeutic targets. The GICG Program is composed of a highly qualified team of 44 members of diverse and complementary expertise from 19 Departments, 7 Schools, and 2 Universities. Our research is funded by a total of $11.2 million annual direct funding, including $8.6 million cancer-relevant funding ($3 million annual direct funds from NCI), 22 fully-cancer focused and NIH R01 equivalent research grants from 17 different and independent PD/PIs, and 11 multi-PI awards. Productivity and collaboration within GICG is evident from the significantly increased cancer-focused publications (586, up from 388 in 2004-2010), 30% collaborative publications (up from 25% in 2004-2010) including those that are 17% intra- and 24% inter-programmatic (up from 9.3% and 20% in 2004-2010), 54% inter-institutional collaborative publications, and 28% of the publications are in top tier journals. Achievements toward the scientific goals are exemplified by the demonstration of a distinct role of BRCA1- PALB2 interaction in supporting conserved homologous combinational DNA repair and suppressing mutagenic DNA single strand annealing, identification that the Pif1 DNA helicase overcomes replication fork blocks at G4-rich regions, mechanistic elucidation of the gain-of-function p53 mutations in the regulation of cancer metabolism and metastasis, discovery of two subtypes of oncocytomas with distinct mutational signatures, and the discovery of increased mutation burden at the nuclear peripheral lamina chromosome domains due to genome wide DNA repair heterogeneity. Translation and inter-programmatic interaction are reflected by the contribution of GICG to the genomic analysis of tumors with the application of state-of-the- art cancer genomic approaches as an integrated part of our clinical practice of Precision Medicine, new clinical trials based on the understanding of genomic instability and cancer mutation burden, and laboratory inquiries of new hypotheses emanating from the Clinical Investigations and Precision Therapeutics (CIPT) Program.

Agency
National Institute of Health (NIH)
Institute
National Cancer Institute (NCI)
Type
Center Core Grants (P30)
Project #
5P30CA072720-22
Application #
10112874
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
Name
Rbhs -Cancer Institute of New Jersey
Department
Type
DUNS #
078728091
City
New Brunswick
State
NJ
Country
United States
Zip Code
08901
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
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
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, Ling; Su, Xiaoyang; Quinn 3rd, William J et al. (2018) Quantitative Analysis of NAD Synthesis-Breakdown Fluxes. Cell Metab 27:1067-1080.e5
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
Shivappa, Nitin; Hébert, James R; Paddock, Lisa E et al. (2018) Dietary inflammatory index and ovarian cancer risk in a New Jersey case-control study. Nutrition 46:78-82
Kim, Dae Keun; Parihar, Jaspreet Singh; Kwon, Young Suk et al. (2018) Risk of complications and urinary incontinence following cytoreductive prostatectomy: a multi-institutional study. Asian J Androl 20:9-14
Harris, Holly R; Babic, Ana; Webb, Penelope M et al. (2018) Polycystic Ovary Syndrome, Oligomenorrhea, and Risk of Ovarian Cancer Histotypes: Evidence from the Ovarian Cancer Association Consortium. Cancer Epidemiol Biomarkers Prev 27:174-182
Ong, Jue-Sheng; Hwang, Liang-Dar; Cuellar-Partida, Gabriel et al. (2018) Assessment of moderate coffee consumption and risk of epithelial ovarian cancer: a Mendelian randomization study. Int J Epidemiol 47:450-459

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