Our algorithm and preliminary data preparation progress was significantly impacted by Superstorm Sandy due to loss of preliminary data and loss of staff time. The goal of this proposed grant is to restore preliminary results and research on causal network biosignature algorithm development to provide the basis for a future R01 application.

Public Health Relevance

We hypothesize that an outcome driven causal network approach will identify biomarkers that are more likely to be causal. We will then combine the identified causal biomarkers weighted by their causal effects into a more stable signature score. The goal of this proposed R21 grant is to restore preliminary results and research on causal network bio signature algorithm development.

Agency
National Institute of Health (NIH)
Institute
National Institute of General Medical Sciences (NIGMS)
Type
Exploratory/Developmental Grants (R21)
Project #
1R21GM110450-01
Application #
8686152
Study Section
Special Emphasis Panel (ZRG1-SBIB-P (50))
Program Officer
Brazhnik, Paul
Project Start
2014-01-01
Project End
2015-12-31
Budget Start
2014-01-01
Budget End
2015-12-31
Support Year
1
Fiscal Year
2014
Total Cost
$166,812
Indirect Cost
$68,398
Name
New York University
Department
Public Health & Prev Medicine
Type
Schools of Medicine
DUNS #
121911077
City
New York
State
NY
Country
United States
Zip Code
10016
Weiss, Sarah A; Han, Joseph; Darvishian, Farbod et al. (2016) Impact of aging on host immune response and survival in melanoma: an analysis of 3 patient cohorts. J Transl Med 14:299
Han, Sung Won; Zhong, Hua (2016) Estimation of sparse directed acyclic graphs for multivariate counts data. Biometrics 72:791-803
Han, Sung Won; Chen, Gong; Cheon, Myun-Seok et al. (2016) Estimation of Directed Acyclic Graphs Through Two-stage Adaptive Lasso for Gene Network Inference. J Am Stat Assoc 111:1004-1019
Hanniford, Doug; Zhong, Judy; Koetz, Lisa et al. (2015) A miRNA-Based Signature Detected in Primary Melanoma Tissue Predicts Development of Brain Metastasis. Clin Cancer Res 21:4903-12
Hanniford, Doug; Segura, Miguel F; Zhong, Judy et al. (2015) Identification of metastasis-suppressive microRNAs in primary melanoma. J Natl Cancer Inst 107:
Wengrod, Jordan; Wang, Ding; Weiss, Sarah et al. (2015) Phosphorylation of eIF2? triggered by mTORC1 inhibition and PP6C activation is required for autophagy and is aberrant in PP6C-mutated melanoma. Sci Signal 8:ra27
Chen, Gong; Zhong, Hua; Belousov, Anton et al. (2015) A PRIM approach to predictive-signature development for patient stratification. Stat Med 34:317-42
Kourtis, Nikos; Moubarak, Rana S; Aranda-Orgilles, Beatriz et al. (2015) FBXW7 modulates cellular stress response and metastatic potential through ?HSF1 post-translational modification. Nat Cell Biol 17:322-332
Zhong, Hua; Chen, Gong; Jukofsky, Lori et al. (2015) MDM2 antagonist clinical response association with a gene expression signature in acute myeloid leukaemia. Br J Haematol 171:432-5
Fleming, Nathaniel H; Zhong, Judy; da Silva, InĂªs Pires et al. (2015) Serum-based miRNAs in the prediction and detection of recurrence in melanoma patients. Cancer 121:51-9

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