In this Program Project """"""""Systems Biochemistry in Lung Cancer: toward a mechanistic understanding of NSCLC"""""""" we aim to achieve a better understanding of the basic biochemistry of lung cancers as a prerequisite to mechanism-based reliable early detection of the disease, and to improved approaches to treatment. The role of the Administrative, Bioinformatics and Biostatistics Core is to provide overall administration and oversight to the project directors and core leaders (T. W-M. Fan, Ph.D., Project 1;J. Yan, M.D., Ph.D., Project 2;A. N. Lane, Ph.D., Project 3;R. M, Higashi, Ph.D., Core B, Analytical) on this Program Project. In addition, Biostatistics and Informatics support (leaders S. N. Rai, Ph.D. and H. N. B Moseley, Ph.D.) for the Projects will be provided through this Core. To ensure smooth interoperability of the program, the administrative core will be responsible for maintaining the budgets and cost reporting of the projects and cores as well as coordinating annual reports, regular meetings among the project personnel and the internal and external advisory committees. The primary objective of the Bioinformatics / Biostatistics portion of this core is to provide support for investigators performing translational research and Informatics for biochemical pathway reconstruction and flux modeling. The core services are matched to the needs of each project and cover a full range of services from collaboration and routine service;protocol preparation and review;development of informatics approaches to ensure interoperability;and biochemical network analysis.

Public Health Relevance

Deaths from lung cancer are the highest among all cancers in North America and cure rates remain low. We seek to gain a deeper understanding of lung cancer biochemistry using a novel approach we developed. Improved knowledge will have direct impact on early diagnosis and prognosis. The biochemical differences between lung cancer subtypes can be related to appropriate treatments.

Agency
National Institute of Health (NIH)
Institute
National Cancer Institute (NCI)
Type
Research Program Projects (P01)
Project #
7P01CA163223-02
Application #
8744925
Study Section
Special Emphasis Panel (ZCA1-RPRB-0)
Project Start
2014-08-19
Project End
Budget Start
2014-03-01
Budget End
2015-02-28
Support Year
2
Fiscal Year
2014
Total Cost
$136,099
Indirect Cost
$34,473
Name
University of Kentucky
Department
Type
DUNS #
939017877
City
Lexington
State
KY
Country
United States
Zip Code
40506
Yang, Ye; Fan, Teresa W-M; Lane, Andrew N et al. (2017) Chloroformate derivatization for tracing the fate of Amino acids in cells and tissues by multiple stable isotope resolved metabolomics (mSIRM). Anal Chim Acta 976:63-73
Lane, Andrew N; Fan, Teresa W-M (2017) NMR-based Stable Isotope Resolved Metabolomics in systems biochemistry. Arch Biochem Biophys 628:123-131
Yan, J (2017) Identifying biomarkers in human psoriasis: revealed by a systems metabolomics approach. Br J Dermatol 176:555-557
Zhao, Jiangsha; Li, Jieran; Fan, Teresa W M et al. (2017) Glycolytic reprogramming through PCK2 regulates tumor initiation of prostate cancer cells. Oncotarget 8:83602-83618
Sun, Ramon C; Fan, Teresa W-M; Deng, Pan et al. (2017) Noninvasive liquid diet delivery of stable isotopes into mouse models for deep metabolic network tracing. Nat Commun 8:1646
Bruntz, Ronald C; Lane, Andrew N; Higashi, Richard M et al. (2017) Exploring cancer metabolism using stable isotope-resolved metabolomics (SIRM). J Biol Chem 292:11601-11609
Fan, Teresa W-M; Warmoes, Marc O; Sun, Qiushi et al. (2016) Distinctly perturbed metabolic networks underlie differential tumor tissue damages induced by immune modulator ?-glucan in a two-case ex vivo non-small-cell lung cancer study. Cold Spring Harb Mol Case Stud 2:a000893
Lane, Andrew N; Higashi, Richard M; Fan, Teresa W-M (2016) Preclinical models for interrogating drug action in human cancers using Stable Isotope Resolved Metabolomics (SIRM). Metabolomics 12:
Li, Jing; Song, Jun; Zaytseva, Yekaterina Y et al. (2016) An obligatory role for neurotensin in high-fat-diet-induced obesity. Nature 533:411-5
Albeituni, Sabrin H; Ding, Chuanlin; Liu, Min et al. (2016) Yeast-Derived Particulate ?-Glucan Treatment Subverts the Suppression of Myeloid-Derived Suppressor Cells (MDSC) by Inducing Polymorphonuclear MDSC Apoptosis and Monocytic MDSC Differentiation to APC in Cancer. J Immunol 196:2167-80

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