Feixiong Cheng, PhD

Appointed
2018

Education & Fellowships

Graduate School - East China University of Science and Technology
Shangai, China
2013

Undergraduate - Shanxi University of Science and Technology
Xi'an Shanix, China
2008

Specialty Interests

Building an Individualized Network Medicine Infrastructure for Precision Cardio-Oncology.Currently, there are over 15.5 million cancer survivors in the United States (U.S.) alone, and this number will reach more than 20 million by 2026. Furthermore, cardiovascular disease is a leading cause of death and the second leading cause of mortality and morbidity in cancer survivors after recurrent malignancy in the U.S. Comorbidity between cardiovascular disease and cancer suggests an underlying shared disease etiology, which can be both genetic and environmental. 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. Recently, we evaluated an integrated, network-based, systems pharmacology approach that incorporates disease-associated genes, drug-target networks, and the human protein-protein interactome, along with large-scale patient longitudinal data as a means for efficient screening of potentially new indications for old drugs or previously unidentified adverse events. Supported by NIH Career Development Award (K99/R00), I am working on developing 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. The central, unifying hypothesis 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 targeted therapies (e.g., multitargeted kinase inhibitors) and immunotherapies (i.e., PD-1 and CTLA4 inhibitors).

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