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1/ Hot-off-the-press 🔥✍🏽🗣

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
2/ 🔥✍🏽🗣

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
3/ 🔥✍🏽🗣

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
4/ 🔥✍🏽🗣

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
5/ 🔥✍🏽🗣

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
6/ 🔥✍🏽🗣

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
7/ 🔥✍🏽🗣

Such an approach may optimize translating the complexity of #cardiooncology to the reality of #patientcare; but how?

#HeartHealth
8/ 🔥✍🏽🗣

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
9/ 🔥✍🏽🗣

#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
10/ 🔥✍🏽🗣

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
11/ 🔥✍🏽🗣

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
12/ 🔥✍🏽🗣

P2: stratification mechanisms for risk prediction, including clinical factors & #precisionmedicine data

Individual placed into 3 risk categories: high, intermediate & low

#CardioOnc #PrevCardioOnc
13/ 🔥✍🏽🗣

P3: personalized #CVD prevention strategies that simultaneously optimize therapeutic efficacy & safety for the individual patient

#PrecisionMedicine #CardioOncology

@SpringerNature @MayoClinicCV @PrevCardioOnc
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