Precision #CardioOncology: Systems-based Perspective on Tyrosine Kinase Inhibitors & Immune Checkpoint Inhibitors
#PrecisionCardioOnc @SpringerNature
Latest manuscript w/ @MayoClinicCV @mayocvonc & edited by @AnaBaracCardio
rdcu.be/b3q0Y
A broad spectrum of #CVD toxicities can be seen with targeted therapies or #ICIs
Toxicities of one or the other can include cardiomyopathy, HF, myocarditis, venous or arterial thrombosis, progression of atherosclerosis, QTc prolongation, or arrhythmias
#CardioOnc
An eminent need is optimal risk management, surveillance, detection, and prevention
The heterogeneities of patient populations, risks, and disease spectra have complicated clinical and translation efforts
#cvPrev #PrevCardioOnc #CardioOnc
Systems-based approach may offer solution
Integrating data from various angles of view (e.g. genomics, proteomics, kinomics, & metabolomics) can provide mechanistic insight, reveal key risk factors, & indicate new therapeutic avenues
@CardioOncCOIN
This review focuses on such an approach for cardiomyopathy, considering the response of the CV system to perturbation by tyrosine kinase inhibitors (TKIs) & immune checkpoint inhibitors (#ICIs)
#PrecisionCardioOnc #CardioOncology
Utilizing #systemsbiology approach to integrate personalized tools may facilitate development of new insight into mechanisms & #riskprediction, to allow for creation of more precise & cost-effective risk prediction tools, improved tx decisions & #cvPrev
@PrevCardioOnc
Such an approach may optimize translating the complexity of #cardiooncology to the reality of #patientcare; but how?
#HeartHealth
With preclinical & clinical investigation & innovation, & subsequently clinical implementation, we may approach an era in which inter-drug & inter-individual variability can be cheaply, reliably, effectively predicted, to facilitate ca tx, remission, cure w/out ⬆️ #CVD
#PrecisionMedicine nomogram, fingerprint or signature consisting of various ‘omic’ factors could be determined for each pt, w/ assessment of variants associated w/ cardiotoxicity, potentially utilizing #networkmedicine & computational analyses in integrative algorithms
Output of such algorithms would be prediction of whether a pt w/ ca, based on unique characteristics, might be at ⬇️ or ⬆️ risk for developing cardiotoxicity, & whether they may be more or less likely to respond to specific ca therapies
#CardioOnc @PrevCardioOnc
Clinical Implementation of #PrecisionCardioOncology: P*3 Pathway
P1: #precisionmedicine data integrated into #EHR along w/ clinical information & other demographics such as family hx & environmental or lifestyle contributors, after #precisionmedicine counseling
P2: stratification mechanisms for risk prediction, including clinical factors & #precisionmedicine data
Individual placed into 3 risk categories: high, intermediate & low
#CardioOnc #PrevCardioOnc
P3: personalized #CVD prevention strategies that simultaneously optimize therapeutic efficacy & safety for the individual patient
#PrecisionMedicine #CardioOncology
@SpringerNature @MayoClinicCV @PrevCardioOnc