Herrmann, Joerg

Abstract Background Current oncological treatments improved survival but also increased awareness of cardiovascular side-effects following cancer therapy. Anthracyclines are a class of highly effective chemotherapeutics, yet their use is regularly complicated by anthracycline-induced cardiotoxicity (AIC). The advent of induced pluripotent stem cell-derived cardiac myocytes (iPSC-CMs) offers the potential for disease modeling and prediction of genetic cardiomyopathies. Purpose We aim to use iPSC-CMs to assess susceptibility to cardiotoxicity induced by anti-cancer treatments on an individual patient level. Furthermore, the assay could be exploited to unravel cellular processes and pathways involved in AIC. Methods Five heart transplant patients following AIC and five anthracycline treated patients without AIC were included in our study. We reprogrammed patient-derived lymphocytes from both groups toward iPSCs using Sendai Virus; afterwards, patient derived iPSCs were differentiated into CM-like cells. Cytotoxicity following chemotherapy exposure was assessed using flow cytometry (FC), in which iPSC-CM-specific cells were first selected based on the expression of signal-regulatory protein alpha (SIRPA) surface marker; thereafter the percentage of apoptotic versus viable cells following doxorubicin exposure was quantitatively assessed. Ultrastructural changes were evaluated using electron microscopy (EM) images, comparing doxorubicin treated and untreated iPSC-CMs. Reactive Oxygen Species (ROS) generation following doxorubicin exposure was assessed using a luciferin precursor-based plate reader assay (ROS-GLO) and FC. Furthermore, whole genome sequencing (WGS) was performed and variants were filtered based on allele frequency, pathogenicity using HumVar trained variant effect predictors and presence in patients versus controls. Results The cytotoxic effect of increasing concentrations of doxorubicin was quantifiable using FC on SIRPA positive iPSC-CMs (Figure 1 panel A). On the ultrastructural level, doxorubicin treated iPSC-CMs manifested darker and more condensed mitochondria as seen with EM (Figure 1 panel B). Increased ROS production was observed following doxorubicin exposure as assessed using ROS-GLO plate reader assay and FC (Figure 1 panel C). We used iPSC-CMs of transplant patients and matched controls to assess inter-individual susceptibility to anthracycline-induced cardiotoxicity. Included patient profiles can be found in Figure 2 panel A. There was a higher rate of cell death at any concentration of doxorubicin in patients with proven AIC as opposed to controls (Figure 2 panel B). WGS analysis showed 2 pathogenic variants in the PRAMEF6 gene present in cases and not in controls (Figure 3 panel C). Conclusion iPSC-CMs represent a robust disease model to study cancer therapy-induced cardiotoxicity. Furthermore, iPSC-CMs allow to study inter-individual differences in susceptibility to cancer therapy-induced cardiotoxicity.Mechanism of AICSusceptibility to AIC

Abstract Aims Cardiotoxicity is a serious side effect of anthracycline treatment, most commonly manifesting as a reduction in left ventricular ejection fraction (EF). Early recognition and treatment have been advocated, but robust, convenient, and cost-effective alternatives to cardiac imaging are missing. Recent developments in artificial intelligence (AI) techniques applied to electrocardiograms (ECGs) may fill this gap, but no study so far has demonstrated its merit for the detection of an abnormal EF after anthracycline therapy. Methods and results Single centre consecutive cohort study of all breast cancer patients with ECG and transthoracic echocardiography (TTE) evaluation before and after (neo)adjuvant anthracycline chemotherapy. Patients with HER2-directed therapy, metastatic disease, second primary malignancy, or pre-existing cardiovascular disease were excluded from the analyses as were patients with EF decline for reasons other than anthracycline-induced cardiotoxicity. Primary readout was the diagnostic performance of AI-ECG by area under the curve (AUC) for EFs < 50%. Of 989 consecutive female breast cancer patients, 22 developed a decline in EF attributed to anthracycline therapy over a follow-up time of 9.8 ± 4.2 years. After exclusion of patients who did not have ECGs within 90 days of a TTE, 20 cases and 683 controls remained. The AI-ECG model detected an EF < 50% and ≤ 35% after anthracycline therapy with an AUC of 0.93 and 0.94, respectively. Conclusion These data support the use of AI-ECG for cardiotoxicity screening after anthracycline-based chemotherapy. This technology could serve as a gatekeeper to more costly cardiac imaging and could enable patients to monitor themselves over long periods of time.

Background: Anthracyclines are highly effective chemotherapeutics, but their use is limited by Anthracycline-Induced Cardiotoxicity (AIC) with notable decline in ejection fraction (EF). Recovery of cardiac function is slow and often only partial, mandating novel and more efficacious treatment approaches to AIC. Hypothesis: Based on high throughput genetic screening in zebrafish we identified autophagy activation, e.g. via Atg7, a key protein in the induction of autophagy, as a potential novel translational therapeutic approach to AIC. Methods: In a mouse model of cardiotoxicity (4 x weekly 5 mg/kg intravenous doxorubicin treatment) two approaches were tested starting one week after the last treatment: 1) AdenoAssociated Viral vector 9-mediated overexpression of Atg7 in the myocardium (AAV9-ATG7, one time injection) and 2) 3 FDA approved autophagy activating (FAA) drugs (pravastatin (40 mg/kg), spironolactone (20 mg/kg) and empagliflozin (10 mg/kg), by daily gavage). Echocardiograms were performed at baseline, before start of therapy and after 28 days before sacrifice. Results: All three FAA drugs were able to rescue AIC and Atg7 overexpression by AAV9 alone sufficed to rescue from AIC (Figure 1). All three FAA drugs were able to either restore Atg7 levels to baseline (pravastatin and empagliflozin) or 2.5 times above baseline levels (spironolactone) versus more than 60fold above baseline by an AAV9-based approach. Conclusion: Atg7 overexpression and autophagy activation suffices to rescue from AIC and can be recapitulated to different levels by pravastatin, empaglifozin and spironolactone.

Background: Anthracyclines are a class of highly effective chemotherapeutics, yet their use is regularly complicated by anthracycline-induced cardiotoxicity (AIC). The advent of induced pluripotent stem cell-derived cardiac myocytes (iPSC-CMs) offers the potential for disease modeling and prediction of genetic cardiomyopathies. Purpose: We aim to use iPSC-CMs to assess susceptibility to AIC. Methods: Five AIC heart transplant patients and five anthracycline treated patients without AIC were included in our study. We reprogrammed lymphocytes from both groups toward iPSCs using Sendai Virus, followed by differentiation into CM-like cells. Cytotoxicity following chemotherapy exposure was assessed using flow cytometry (FC), electron microscopy (EM) and reactive oxygen species generation (ROS). Furthermore, whole genome sequencing (WGS) was performed and variants were filtered based on allele frequency, pathogenicity using HumVar trained variant effect predictors and presence in patients versus controls. Results: The cytotoxic effect of increasing concentrations of doxorubicin was quantifiable using FC on SIRPA positive iPSC-CMs ( A ). There was a higher rate of cell death at any concentration of doxorubicin in patients with AIC as opposed to controls ( B ). On the ultrastructural level, doxorubicin treated iPSC-CMs manifested darker and more condensed mitochondria as seen with EM ( C ). Increased ROS production was observed following doxorubicin exposure ( D ). WGS analysis showed 2 pathogenic variants in the PRAMEF6 gene present in cases and not in controls ( E ). Conclusion: iPSC-CMs represent a robust disease model to study mechanisms of and susceptibility to AIC.

BACKGROUND: Global collaboration in cardio-oncology is needed to understand the prevalence of cancer therapy-related cardiovascular toxicity in different risk groups, practice settings, and geographic locations. There are limited data on the socioeconomic and racial/ethnic disparities that may impact access to care and outcomes. To address these gaps, we established the Global Cardio-Oncology Registry, a multinational, multicenter prospective registry. METHODS: We assembled cardiologists and oncologists from academic and community settings to collaborate in the first Global Cardio-Oncology Registry. Subsequently, a survey for site resources, demographics, and intention to participate was conducted. We designed an online data platform to facilitate this global initiative. RESULTS: A total of 119 sites responded to an online questionnaire on their practices and main goals of the registry: 49 US sites from 23 states and 70 international sites from 5 continents indicated a willingness to participate in the Global Cardio-Oncology Registry. Sites were more commonly led by cardiologists (85/119; 72%) and were more often university/teaching (81/119; 68%) than community based (38/119; 32%). The average number of cardio-oncology patients treated per month was 80 per site. The top 3 Global Cardio-Oncology Registry priorities in cardio-oncology care were breast cancer, hematologic malignancies, and patients treated with immune checkpoint inhibitors. Executive and scientific committees and specific committees were established. A pilot phase for breast cancer using Research Electronic Data Capture Cloud platform recently started patient enrollment. CONCLUSIONS: We present the structure for a global collaboration. Information derived from the Global Cardio-Oncology Registry will help understand the risk factors impacting cancer therapy-related cardiovascular toxicity in different geographic locations and therefore contribute to reduce access gaps in cardio-oncology care. Risk calculators will be prospectively derived and validated.

Abstract Background Physical activity is associated with decreased breast cancer recurrence and mortality, as well as fewer treatment-related symptoms. Nevertheless, most breast cancer survivors do not meet physical activity guidelines. The purpose of this manuscript is to characterize physical activity trends over time in breast cancer survivors. Methods Mayo Clinic Breast Disease Registry participants received surveys at baseline and at 1 and 4 years after diagnosis; breast cancer recurrence and/or metastatic disease were exclusion criteria. Participants were considered to be meeting guidelines if they self-reported at least 150 minutes of moderate-intensity (eg, fast walking) and/or strenuous (eg, jogging) physical activity per week. Statistical analyses include analysis of covariance methods, paired t tests, conditional logistic regression models, and McNemar tests of homogeneity. Results A total of 171 participants were included in the analysis. The amount of total physical activity decreased over time (P = .07). Mild-intensity physical activity (eg, easy walking) decreased most over time (P = .05). Among participants aged 18-49 years, mild-intensity (P = .05) and moderate-intensity (P = .02) physical activity decreased over time. Strenuous-intensity physical activity levels decreased over time among participants with a normal body mass index (P = .002) and with obesity (P = .01). Conclusions We found a trend-level decrease in total physical activity over time, driven mostly by a decrease in mild-intensity physical activity. Young breast cancer survivors are especially likely to reduce their physical activity over time. Further research on implementing physical activity guidelines in clinical practice is warranted.

Senescence induced by various stresses reprograms cancer cells to acquire senescence-associated (SA) cell growth (SACG), which allows them to escape senescence-induced cell cycle arrest with enhanced growth potential. ERK5 is a dual kinase-transcription factor, containing an N-terminal kinase domain and transactivation domains in the C-terminal half. Recent data have raised questions regarding the functional role of ERK5 kinase inhibitors in cancer and inflammatory diseases. We aimed to investigate how ERK5 reprograms myeloid cells (MC) to the SA secretory phenotype (SASP) and SACG, consequently leading to atherosclerosis (AthS). AthS was inhibited in ERK5 S496A knock-in (KI) mice. Single-cell analysis of p53 and Ki67 with imaging mass cytometry revealed three groups of MCs with different p53 and Ki67 expression patterns in the plaque. One group showed that p53 and Ki67 were co-expressed lineally, suggesting that this group of cells escaped from the growth-suppression effects of p53, which is also known as a senescence marker. The % of ERK5 S496A KI cells in this group was significantly lower than in wild-type (WT). Also, we found an increase of SA β-gal (SAβ-gal) + Ki67 + and 53BP1 + Ki67 + cells in bone narrow-derived macrophage (BMDMs) isolated from hypercholesterolemia (H-chol) WT mice, suggesting H-chol-induced MC SACG. MC SACG were significantly inhibited in ERK5 S496A KI mice, supporting the role of ERK5 S496 phosphorylation on SACG. RNA sequencing analysis identified the ERK5 S496 phosphorylation-dependent AHR induction by H-chol, and AHR depletion significantly inhibited SACG. We also discovered a critical effect of ERK5 S496 phosphorylation on SUMOylation at a novel site of NRF2 (i.e., K518), which inhibited NRF2 transcriptional activity without affecting ERK5 kinase activity and antagonized oxidized LDL (oxLDL)-induced SASP. Specific ERK5 kinase inhibitors (AX15836 and XMD8-92) inhibited oxLDL-induced ERK5 S496 phosphorylation, suggesting that ERK5 S496 phosphorylation was involved at least in part of the effects of these inhibitors. We have discovered a novel mechanism in which ERK5 S496 phosphorylation directly inhibits NRF2 activity by upregulating NRF2 K518 SUMOylation and AHR induction, subsequently inducing SACG and AthS.

e19517 Background: Anthracycline-induced cardiotoxicity (AIC) is a well-known phenomenon, but event rates and predictors may not be as robust as commonly perceived. We performed a systematic review and meta-analysis to elucidate AIC definitions, incidence rates and predictors. Methods: 5323 reports were identified via searching Medline, Embase, and Scopus. Inclusion criteria for full text review included minimum of 100 lymphoma patients receiving ACs; median/mean follow up of at least 12 months; and specified evaluation of left ventricular ejection fraction. We investigated the definition, reported incidence, and predictors of AIC including subclinical AIC as detected by decrease in left ventricular systolic dysfunction. Meta-analysis was performed with Meta-analyst software with random effects model. Results: A total of 19 studies were included in the analysis. The overall incidence of AIC in 13926 patients was 13.8% (95% CI 4.8-22.8, I2 99.6% p < 0.001) at a mean/median follow-up ranging from 1 to 8 years. Subclinical AIC was seen in 8.2% of 5464 patients (95% CI 6.4 to 10%, I2 78.9%, p < 0.001) at a mean/median follow-up ranging from 1 to 20 years. Subclinical AIC is defined in most studies as asymptomatic decrease in LVEF by 10-15% from baseline of 50-55%. Older age, increasing AC dose or number of cycles, GLS (global longitudinal strain), and prior comorbidities such as CAD, HTN, DM and dyslipidemia were found to predict AIC. However, Heterogeneity was seen in definition of AIC, risk factor assessment and follow-up protocol, which limited the extent of correlative analyses for cardiotoxicity predictors. Conclusions: The overall incidence of clinical HF and subclinical AIC among lymphoma patients was 13.8% and 8.2% respectively. Older age, increasing AC dose or number of cycles, GLS, and prior comorbidities such as CAD, HTN, DM and dyslipidemia were found to predict AIC.

Background: ERK5 (extracellular signal-regulated kinase 5) is a dual kinase transcription factor containing an N-terminal kinase domain and a C-terminal transcriptional activation domain. Many ERK5 kinase inhibitors have been developed and tested to treat cancer and inflammatory diseases. However, recent data have raised questions about the role of the catalytic activity of ERK5 in proliferation and inflammation. We aimed to investigate how ERK5 reprograms myeloid cells to the proinflammatory senescent phenotype, subsequently leading to atherosclerosis. Methods: A ERK5 S496A (dephosphorylation mimic) knock in (KI) mouse model was generated using CRISPR/Cas9 (clustered regularly interspaced short palindromic repeats/clustered regularly interspaced short palindromic repeat–associated 9), and atherosclerosis was characterized by hypercholesterolemia induction. The plaque phenotyping in homozygous ERK5 S496A KI and wild type (WT) mice was studied using imaging mass cytometry. Bone marrow–derived macrophages were isolated from hypercholesterolemic mice and characterized using RNA sequencing and functional in vitro approaches, including senescence, mitochondria reactive oxygen species, and inflammation assays, as well as by metabolic extracellular flux analysis. Results: We show that atherosclerosis was inhibited in ERK5 S496A KI mice. Furthermore, ERK5 S496 phosphorylation mediates both senescence-associated secretory phenotype and senescence-associated stemness by upregulating AHR (aryl hydrocarbon receptor) in plaque and bone marrow–derived macrophages isolated from hypercholesterolemic mice. We also discovered that ERK5 S496 phosphorylation could induce NRF2 (NFE2-related factor 2) SUMOylation at a novel K518 site to inhibit NRF2 transcriptional activity without altering ERK5 catalytic activity and mediates oxidized LDL (low-density lipoprotein)–induced senescence-associated secretory phenotype. Specific ERK5 kinase inhibitors (AX15836 and XMD8-92) also inhibited ERK5 S496 phosphorylation, suggesting the involvement of ERK5 S496 phosphorylation in the anti-inflammatory effects of these ERK5 kinase inhibitors. Conclusions: We discovered a novel mechanism by which the macrophage ERK5-NRF2 axis develops a unique senescence-associated secretory phenotype/stemness phenotype by upregulating AHR to engender atherogenesis. The finding of senescence-associated stemness phenotype provides a molecular explanation to resolve the paradox of senescence in proliferative plaque by permitting myeloid cells to escape the senescence-induced cell cycle arrest during atherosclerosis formation.

Background Treatment for breast cancer (BC) frequently involves radiotherapy. Guidelines recommend screening for cardiac adverse events starting 10 years after radiotherapy. The rationale for this interval is unclear. Methods and Results We aimed to study cardiovascular event rates in the first decade following curative radiotherapy for BC. We compared mortality and cardiovascular event rates with an age‐ and risk factor‐matched control population. We included 1095 patients with BC (mean age 56±12 years). Two hundred and eighteen (19.9%) women died. Cancer and cardiovascular mortality caused 107 (49.1%) and 22 (10.1%) deaths, respectively. A total of 904 cases were matched to female FLEMENGHO (Flemish Study on Environment, Genes and Health Outcomes) participants. Coronary artery disease incidence was similar (risk ratio [RR], 0.75 [95% CI, 0.48–1.18]), yet heart failure (RR, 1.97 [95% CI, 1.19–3.25]) and atrial fibrillation/flutter (RR, 1.82 [95% CI, 1.07–3.08]) occurred more often in patients with BC. Age (hazard ratio [HR], 1.033 [95% CI, 1.006–1.061], P =0.016), tumor grade (HR, 1.739 [95% CI, 1.166–2.591], P =0.007), and neoadjuvant treatment setting (HR, 2.782 [95% CI, 1.304–5.936], P =0.008) were risk factors for mortality. Risk factors for major adverse cardiac events were age (HR, 1.053 [95% CI, 1.013–1.093]; P =0.008), mean heart dose (HR, 1.093 [95% CI, 1.025–1.167]; P =0.007), history of cardiovascular disease (HR, 2.386 [95% CI, 1.096–6.197]; P =0.029) and Mayo Clinic Cardiotoxicity Risk Score (HR, 2.664 [95% CI, 1.625–4.367]; P <0.001). Conclusions Ten‐year mortality following curative treatment for unilateral BC was mainly cancer related, but heart failure and atrial fibrillation/flutter were already common in the first decade following irradiation. Mean heart dose, pre‐existing cardiovascular diseases, and Mayo Clinic Cardiotoxicity Risk Score were risk factors for cardiac adverse events. These results suggest a need for early dedicated cardio‐oncological follow‐up after radiotherapy.