Neha Quatromoni1, Marielle Scherrer-Crosbie2. 1. Division of Cardiology, Department of Medicine, Hospital of the University of Pennsylvania, Philadelphia, PA, USA. 2. Cardiac Ultrasound Laboratory, Division of Cardiology, Department of Medicine, Hospital of the University of Pennsylvania, Philadelphia, PA, USA. Marielle.Scherrer-Crosbie@uphs.upenn.edu.
Abstract
PURPOSE OF REVIEW: Modern cancer therapy comes at a cost of increased risk of cardiotoxicity. The purpose of our paper is to provide an updated review highlighting research incorporating biomarkers and imaging findings for the detection of subclinical cardiac dysfunction and management of cancer treatment-related cardiotoxicity. RECENT FINDINGS: Biomarkers, particularly troponin, NTproBNP, and myeloperoxidase, have been shown to have a predictive role in the development of cancer treatment-related cardiotoxicity. Early reductions in global longitudinal strain and the more recently reported, circumferential strain, have been shown to be predictive of subsequent cardiotoxicity. Integrating troponin levels with longitudinal strain may have incremental value in predicting future cardiotoxicity. Initiating troponin-guided heart failure therapy following cancer treatment may impact the development of cardiotoxicity. Strain-guided heart failure therapy is currently under investigation. Early detection of subclinical cardiac dysfunction in high-risk cancer patients and subsequent medical intervention using biomarkers and imaging may help to alter the course of cancer treatment-induced cardiotoxicity. Current guidelines and expert consensus offer a general framework for monitoring high risk patients for cardiotoxicity. However, additional research is needed to provide a more sophisticated and structured approach in detecting and managing subclinical cardiac dysfunction with hopes of minimizing subsequent cardiotoxicity.
PURPOSE OF REVIEW: Modern cancer therapy comes at a cost of increased risk of cardiotoxicity. The purpose of our paper is to provide an updated review highlighting research incorporating biomarkers and imaging findings for the detection of subclinical cardiac dysfunction and management of cancer treatment-related cardiotoxicity. RECENT FINDINGS: Biomarkers, particularly troponin, NTproBNP, and myeloperoxidase, have been shown to have a predictive role in the development of cancer treatment-related cardiotoxicity. Early reductions in global longitudinal strain and the more recently reported, circumferential strain, have been shown to be predictive of subsequent cardiotoxicity. Integrating troponin levels with longitudinal strain may have incremental value in predicting future cardiotoxicity. Initiating troponin-guided heart failure therapy following cancer treatment may impact the development of cardiotoxicity. Strain-guided heart failure therapy is currently under investigation. Early detection of subclinical cardiac dysfunction in high-risk cancerpatients and subsequent medical intervention using biomarkers and imaging may help to alter the course of cancer treatment-induced cardiotoxicity. Current guidelines and expert consensus offer a general framework for monitoring high risk patients for cardiotoxicity. However, additional research is needed to provide a more sophisticated and structured approach in detecting and managing subclinical cardiac dysfunction with hopes of minimizing subsequent cardiotoxicity.
Authors: Emily Ho; Angela Brown; Patrick Barrett; Roisin B Morgan; Gerard King; M John Kennedy; Ross T Murphy Journal: Heart Date: 2010-05 Impact factor: 5.994
Authors: Maria T Sandri; Michela Salvatici; Daniela Cardinale; Laura Zorzino; Rita Passerini; Paola Lentati; Maria Leon; Maurizio Civelli; Giovanni Martinelli; Carlo M Cipolla Journal: Clin Chem Date: 2005-06-02 Impact factor: 8.327
Authors: Timothy C Tan; Souhila Bouras; Heloisa Sawaya; Igal A Sebag; Victor Cohen; Michael H Picard; Jonathan Passeri; Irene Kuter; Marielle Scherrer-Crosbie Journal: J Am Soc Echocardiogr Date: 2015-03-13 Impact factor: 5.251
Authors: Steven E Lipshultz; Nader Rifai; Virginia M Dalton; Donna E Levy; Lewis B Silverman; Stuart R Lipsitz; Steven D Colan; Barbara L Asselin; Ronald D Barr; Luis A Clavell; Craig A Hurwitz; Albert Moghrabi; Yvan Samson; Marshall A Schorin; Richard D Gelber; Stephen E Sallan Journal: N Engl J Med Date: 2004-07-08 Impact factor: 91.245
Authors: Sui Zhang; Xiaobing Liu; Tasneem Bawa-Khalfe; Long-Sheng Lu; Yi Lisa Lyu; Leroy F Liu; Edward T H Yeh Journal: Nat Med Date: 2012-10-28 Impact factor: 53.440
Authors: Daniel J Lenihan; Patrick L Stevens; Mona Massey; Juan Carlos Plana; Dejka M Araujo; Michelle A Fanale; Luis E Fayad; Michael J Fisch; Edward T H Yeh Journal: J Card Fail Date: 2016-04-11 Impact factor: 5.712
Authors: Gary Gintant; Paul Burridge; Lior Gepstein; Sian Harding; Todd Herron; Charles Hong; José Jalife; Joseph C Wu Journal: Circ Res Date: 2019-09-19 Impact factor: 17.367