The growing awareness of cardiac dysfunction by cancer treatment has led to the emerging field of cardio- oncology. However, there are no guidelines in terms of how to prevent and treat the new cardiotoxicity in cancer survivors due to the limited experimental assays. Network medicine ? a discipline that seeks to redefine disease and therapeutics from an integrated perspective using systems biology and network science ? offers a non-invasive way to identify actionable biomarkers for cardio-oncology. This five-year career development program will develop state-of-the-art systems pharmacology and network medicine approaches in cardio- oncology that focuses on screening, monitoring, and treating cancer survivors with cardiac dysfunction resulting from cancer treatment for facilitating the career goals to the principal investigator (PI), Dr. Feixiong Cheng. With this application, the PI will adhere to a rigorous mentored training curriculum in Northeastern University, Dana-Farber Cancer Institute, and Harvard?s Brigham and Women's Hospital (BWH). The PI?s mentor, Dr. Albert-Laszlo Barabasi, one of the world?s leading experts in the field of network science, has strong collaborative relations with his co-mentors, Drs. Joseph Loscalzo and Sebastian Schneeweiss, in BWH. Dr. Loscalzo, an influential cardiologist, will provide the PI with cardiovascular biology training, career guidance, and scientific advice on the execution of the proposed research plan. Dr. Schneeweiss, a premier pharmacoepidemiologist, will provide the PI with training on applying computationally intensive algorithms for analyzing patient longitudinal big data. This program proposes two specific aims: 1) Development of a state-of- the-art systems pharmacology approach, namely genome-wide positioning systems drug network (GPSDnet) algorithm, to illuminate the landscape of cardiotoxicity to various cancer agents (K99) - The central, unifying hypothesis of GPSDnet is that an integrated, mechanism-based, network approach which incorporates next- generation sequencing data, drug-target networks, drug-induced transcriptome, the human interactome, along with adverse event reports from the FDA?s Adverse Event Reporting System and patient longitudinal data, will prove a novel and effective way for evaluation of cardiotoxicity for current cancer therapies (e.g., multitargeted kinase inhibitors) and new therapies (e.g., immune checkpoint inhibitors); 2) Cardio-oncology perturbation, diagnosis, prevention, and patient care (R00) - The Aim 2 will emphasize the use of network medicine techniques to identify actionable biomarkers (e.g., comorbidity network modules shared by cancer cells and cardiovascular cells/systems) for advancing the characterization of cardio-oncology heterogeneity, thereby achieving the goal of coordinated, patient-centered strategies for treatment and long-term cardiovascular care (e.g., heart failure and coronary artery disease) for cancer survivors. In summary, approval of this K99 award will be invaluable in establishing Dr. Cheng as an independent investigator by exploiting the promise of precision medicine that is in need of experts specializing in network medicine for cardio-oncology.

Public Health Relevance

The growing awareness of cardiotoxicity caused by cancer treatment has led to the emerging field of cardio- oncology, playing an important role in offering ways to prevent and treat new cardiotoxicity in over 15.5 million cancer survivors in the United States. The proposed research will develop state-of-the-art network medicine strategies for evaluating cardiotoxicity of various cancer agents and advancing the characterization of cardio- oncology. The network medicine infrastructure developed here could be used to tackle the problem of heterogeneity of cardio-oncology and enable searching, sharing, visualizing, querying, and analyzing big biomedical data for treatment and long-term cardiovascular care for cancer survivors.

Agency
National Institute of Health (NIH)
Institute
National Heart, Lung, and Blood Institute (NHLBI)
Type
Career Transition Award (K99)
Project #
1K99HL138272-01
Application #
9371272
Study Section
NHLBI Mentored Transition to Independence Review Committee (MTI)
Program Officer
Hsu, Lucy L
Project Start
2017-07-01
Project End
2018-06-30
Budget Start
2017-07-01
Budget End
2018-06-30
Support Year
1
Fiscal Year
2017
Total Cost
Indirect Cost
Name
Northeastern University
Department
Physics
Type
Schools of Arts and Sciences
DUNS #
001423631
City
Boston
State
MA
Country
United States
Zip Code
02115
Wu, Zengrui; Lu, Weiqiang; Yu, Weiwei et al. (2018) Quantitative and systems pharmacology 2. In silico polypharmacology of G protein-coupled receptor ligands via network-based approaches. Pharmacol Res 129:400-413
Cheng, Feixiong; Desai, Rishi J; Handy, Diane E et al. (2018) Network-based approach to prediction and population-based validation of in silico drug repurposing. Nat Commun 9:2691
Wu, Dang; Wang, Wanyan; Chen, Wuyan et al. (2018) Pharmacological inhibition of dihydroorotate dehydrogenase induces apoptosis and differentiation in acute myeloid leukemia cells. Haematologica 103:1472-1483
Cheng, Feixiong; Nussinov, Ruth (2018) KRAS Activating Signaling Triggers Arteriovenous Malformations. Trends Biochem Sci 43:481-483
Jiang, Xingwu; Lu, Weiqiang; Shen, Xiaoyang et al. (2018) Repurposing sertraline sensitizes non-small cell lung cancer cells to erlotinib by inducing autophagy. JCI Insight 3:
Cheng, Feixiong; Loscalzo, Joseph (2018) Pulmonary Comorbidity in Lung Cancer. Trends Mol Med 24:239-241
Cai, Chuipu; Fang, Jiansong; Guo, Pengfei et al. (2018) In Silico Pharmacoepidemiologic Evaluation of Drug-Induced Cardiovascular Complications Using Combined Classifiers. J Chem Inf Model 58:943-956
Fang, Jiansong; Wu, Zengrui; Cai, Chuipu et al. (2017) Quantitative and Systems Pharmacology. 1. In Silico Prediction of Drug-Target Interactions of Natural Products Enables New Targeted Cancer Therapy. J Chem Inf Model 57:2657-2671
Fang, Jiansong; Gao, Li; Ma, Huili et al. (2017) Quantitative and Systems Pharmacology 3. Network-Based Identification of New Targets for Natural Products Enables Potential Uses in Aging-Associated Disorders. Front Pharmacol 8:747