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Rassaf, Tienush

0000-0001-8001-0265

Mayo Clinic

Essen University Hospital

Citations 5

An explainable transformer model learning from entire treatment timelines for pan-cancer risk profiling across healthcare systems
Keyl, Philipp , Kiermeyer, Niklas , Bosserhoff, Jonah, Lenfers, Tim , Niederhauser, Thibault , Fan, Bowen , Schnake, Thomas , Aubele, Fabio, Kuss, Solveig, Jurmeister, Philipp, Kim, Moon, Bauer, Sebastian , Bechrakis, Nikolaos, Forsting, Michael, Fuehrer-Sakel, Dagmar, Glas, Martin , Gruenwald, Viktor, Hadaschik, Boris, Herrmann, Ken, Kasper, Stefan, Kimmig, Rainer, Lang, Stephan, Pretzell, Ina , Rassaf, Tienush, Roesch, Alexander , Sure, Ulrich, Wichert, Marc, Unger, K, Behr, Juergen, Teupser, Daniel, Stief, Christian G., Mayerle, J, Tufman, Amanda, Ricke, Jens , Lindner, Lars H., Priglinger, Siegfried, Hoeglinger, Guenter, Mahner, Sven, Canis, Martin , Heinzerling, Lucie, Spitzweg, Christine , Tasdogan, Alpaslan , Totzeck, Matthias , Welt, Anja , Wiesweg, Marcel, Westphalen, C. Benedikt, Thasler, Reinhard, Albashiti, Fady , Montavon, Grégoire , Miglino, Nicola, Bergwelt‐Baildon, Michael von , Heinemann, Volker , Belka, Claus , Hartmann, Sylvia, Wicki, A., Nensa, Felix, Teupser, Daniel , Mueller, Klaus-Robert, Kleesiek, Jens , Wicki, Andreas , Wicki, Andreas , Bauer, Sebastian , Bosserhoff, Jonah, Schallenberg, Simon , Aubele, Fabio Paul , Kuss, Solveig , Idaji, Mina Jamshidi , Bechrakis, Nikolaos Emmanouel , Forsting, Michael, Hadaschik, Boris Alexander , Lang, Stephan , Rassaf, Tienush , Siveke, Jens , Guberina, Maja , Sure, Ulrich, Wichert, Marc, Ingrisch, Michael , Behr, Juergen, Mayerle, Julia V. , Harbeck, Nadia , Tufman, Amanda , Lindner, Lars Hartwin , Höglinger, Günter U. , Wiesweg, Marcel , Westphalen, C. Benedikt , Thasler, Reinhard, Miglino, Nicola, Balázs, Zsolt , Hartmann, Sylvia , Nensa, Felix , Schadendorf, Dirk , Schüler, Martin , Klauschen, Frederick , Keyl, Julius

No container title available | July 27, 2026 | Volume: No volume available | Issue: No issue available | Pages: No page available

10.64898/2026.07.24.26358838 Get It

Abstract Cancer outcomes vary widely between individual patients, each accumulating an irregular record of treatments, diagnoses, measurements, and complications. Current prognostic models reduce this complexity into a single snapshot, focus on narrow clinical settings, and rarely generalize across hospitals. Here we introduce Chronicle , an explainable transformer that learns from entire patient trajectories to predict diverse clinical outcomes throughout the disease course while capturing both short- and long-term temporal dependencies. Trained on 53.7 million longitudinal data points from 51,711 patients spanning 67 cancer types, Chronicle operates natively on irregular data without imputation and jointly predicts eight endpoints within a flexible framework adaptable to additional outcomes. Chronicle outperformed cross-sectional models for overall survival prediction (C-index 0.84 vs 0.76-0.79), stratified patients more accurately than established prognostic systems, including TNM stage, and predicted seven adverse event and transfusion endpoints (AUC 0.80-0.92). Applied without retraining to 69,341 patients in Germany, Switzerland, and the United States, Chronicle generalized across healthcare systems and improved further with local fine-tuning. Integrated explainability traced each risk update to patient-specific clinical factors, revealing distinct temporal persistence of prognostic information, with relevance half-lives ranging from weeks for therapies to nearly one year for baseline characteristics. These findings demonstrate that learning from hospital-wide patient trajectories enables interpretable and continuously updated predictions, providing a scalable framework to support individualized treatment decisions.
Immune Checkpoint Inhibitor–Associated Cardiovascular Toxic Effects
Herrmann, Joerg , Carver, Joseph R. , Cheng, Richard K. , Daniele, Andrés J., Deych, Elena , Lee, Dae Hyun , Lyon, Alexander R, Fradley, Michael G. , Macedo, Ariane Vieira Scarlatelli , Mooradian, Meghan J. , Nohria, Anju, Porter, Charles , Rassaf, Tienush, Sverdlov, Aaron L. , Thavendiranathan, Paaladinesh, Neilan, Tomas G. , Mitchell, Joshua D. , Mitchell, Joshua D , Sverdlov, Aaron L , Cheng, Richard , Lee, Dae H , Barac, Ana , Dent, Susan , Lenihan, Daniel , Leong, Darryl P. , Liu, Jennifer , López‐Fernández, Teresa , Lyon, Alexander R. , Nohria, Anju , Rassaf, Tienush , Suero‐Abreu, Giselle Alexandra

JAMA Oncology | November 13, 2025 | Volume: 12 | Issue: 1 | Pages: 90

10.1001/jamaoncol.2025.4543 Get It

Importance The introduction of immune checkpoint inhibitor (ICI) therapy has improved cancer outcomes but at the cost of adverse events, mainly related to the immune system. Cardiovascular (CV) toxic effects, and especially myocarditis, are of particular concern and are the subject of this position statement by the International Cardio-Oncology Society with representation of experts from oncology, hematology, and cardiology. Observations CV toxic effects of ICI therapies include inflammation-associated diseases, such as myocarditis, pericarditis, and vasculitis, as well as the aggravation of chronic inflammatory conditions, such as atherosclerosis with acute ischemic complications (myocardial infarction and stroke). Patients taking ICI therapies can also develop cardiac dysfunction, stress-induced cardiomyopathy (Takotsubo or apical ballooning syndrome), and heart failure without inflammatory cell infiltration of the myocardium. Atrial and ventricular arrhythmias can emerge in the setting of a systemic inflammatory milieu, myocarditis, or ischemia. Of all potential CV adverse effects, myocarditis remains of highest concern, although fatality rates have declined over time with a broadening spectrum of presentations ranging from troponin elevation of uncertain significance to smoldering, nonsevere, and severe or fulminant myocarditis. Conclusions and Relevance Concerns for myocarditis continue to dominate the spectrum of CV toxic effects in patients receiving ICI therapy. Recommendations for management vary according to severity. Multidisciplinary collaborations remain key for managing acute toxic effects and future cancer treatment decisions, including ICI rechallenge. Ischemic heart disease constitutes the main differential diagnosis in these patients, while pericarditis can be concomitantly present, and atrial and ventricular arrhythmias can also complicate the clinical picture. Several gaps in knowledge are identified and require further research.
Prognostic Impact of SCAI Shock Severity Classes in AMI-Related Cardiogenic Shock: A Sub-Study of the ECLS-SHOCK Trial
Pöss, Janine, Desch, Steffen , Feistritzer, Hans‐Josef , Freund, Anne, Roßberg, Michelle , Jung, Christian , Ouarrak, Taoufik , Thevathasan, Tharusan , Zeymer, Uwe , Thiele, Holger , Jentzer, Jacob, Jung, Christian , Jentzer, Jacob C. , Freund, Anne , Schneider, Steffen, Akin, Ibrahim , Rassaf, Tienush

ESC Heart Failure | October 14, 2025 | Volume: 12 | Issue: 6 | Pages: 4359-4368

10.1002/ehf2.15446 Get It

Abstract Aims The Society for Cardiovascular Angiography and Interventions (SCAI) Classification provides risk stratification of patients with acute myocardial infarction complicated by cardiogenic shock (AMI-CS). This sub-study of the ECLS-SHOCK trial investigates the prognostic impact of SCAI stages in AMI-CS and the influence of SCAI stages on the effect of extracorporeal life support (ECLS) therapy in AMI-CS patients. Methods Patients with AMI-CS enrolled in the multicentre, randomized ECLS-SHOCK trial were included. The outcomes, treatment effect and safety of ECLS were stratified according to SCAI stage at admission using a post-hoc classification. Results From a total of 417 patients enrolled in the ECLS-SHOCK trial between June 2019 and November 2022, 51.6% (n = 215), 13.4% (n = 56) and 35.0% (n = 146) presented in SCAI Stages C, D and E, respectively. SCAI stages were associated with the risk of 30 day all-cause mortality (C vs. D vs. E: 32.6% vs. 67.9% vs. 64.4%, P < 0.001), with rates of renal replacement therapy at 30 days (C vs. D vs. E: 7.0% vs. 19.6% vs. 13.7%, P = 0.03) and with poor neurological outcomes (C vs. D vs. E: 17.2% vs. 44.4% vs. 36.5%, P < 0.001). No interaction was observed between SCAI stage and the treatment effect of ELCS on 30 day all-cause mortality (ELCS vs. control SCAI C: 32.7% vs. 32.4%; SCAI D: 68.4% vs. 66.7%; SCAI E: 59.7% vs. 68.4%, P for interaction = 0.65). Conclusions In AMI-CS patients included in the ECLS-SHOCK trial, SCAI stages at admission were predictive for mortality and for the incidence of safety events. The efficacy of ECLS treatment was not affected by SCAI stage.
Cardiovascular Toxicities of Immune Therapies for Cancer – A Scientific Statement of the Heart Failure Association (HFA) of the ESC and the ESC Council of Cardio-Oncology
Tocchetti, Carlo G. , Farmakis, Dimitrios , Koop, Yvonne , Andrés, María Sol , Formisano, Luigi , Ciardiello, Fortunato, Emmerich, Max , Plummer, Chris , Gulati, Geeta , Ramalingam, Sivatharshini , Brezden‐Masley, Christine , Iakobishvili, Zaza , Bergler‐Klein, Jutta , Boer, Rudolf A. de , Rassaf, Tienush, Fradley, Michael G. , Moslehi, Javid J. , Yang, Eric H., Neilan, Tomas G. , Herrmann, Joerg , Mirabel, Mariana , Skouri, Hadi , Cohen‐Solal, Alain , Sverdlov, Aaron L. , Meer, Peter van der, Asteggiano, Riccardo , Ky, Bonnie , Seferović, Petar , Metra, Marco , Rosano, Giuseppe, Suter, Thomas, Tocchetti, Carlo Gabriele , López-Fernández, Teresa , de Boer, Rudolf A , Ky, Bonnie , Sverdlov, Aaron L , Metra, Marco , Couch, Liam Steven , Ciardiello, Fortunato , Pane, Fabrizio , Au, Lewis , Cardinale, Daniela , Thavendiranathan, Paaladinesh , Santoro, Ciro , Keramida, Kalliopi , Maack, Christoph , Lutgens, Esther , Rassaf, Tienush , Yang, Eric H., Keulenaer, Gilles W. De , Ameri, Pietro , Bax, Jeroen J. , Mbakwem, Amam , Hirsch, Emilio , Meer, Peter van der , Barac, Ana , Lenihan, Daniel , Dent, Susan , Coats, Andrew J.S. , López‐Fernández, Teresa , Lyon, Alexander R.

European Journal of Heart Failure | August 1, 2024 | Volume: 26 | Issue: 10 | Pages: 2055-2076

10.1002/ejhf.3340 Get It

ABSTRACT The advent of immunological therapies has revolutionized the treatment of solid and haematological cancers over the last decade. Licensed therapies which activate the immune system to target cancer cells can be broadly divided into two classes. The first class are antibodies that inhibit immune checkpoint signalling, known as immune checkpoint inhibitors (ICIs). The second class are cell-based immune therapies including chimeric antigen receptor T lymphocyte (CAR-T) cell therapies, natural killer (NK) cell therapies, and tumour infiltrating lymphocyte (TIL) therapies. The clinical efficacy of all these treatments generally outweighs the risks, but there is a high rate of immune-related adverse events (irAEs), which are often unpredictable in timing with clinical sequalae ranging from mild (e.g. rash) to severe or even fatal (e.g. myocarditis, cytokine release syndrome) and reversible to permanent (e.g. endocrinopathies).The mechanisms underpinning irAE pathology vary across different irAE complications and syndromes, reflecting the broad clinical phenotypes observed and the variability of different individual immune responses, and are poorly understood overall. Immune-related cardiovascular toxicities have emerged, and our understanding has evolved from focussing initially on rare but fatal ICI-related myocarditis with cardiogenic shock to more common complications including less severe ICI-related myocarditis, pericarditis, arrhythmias, including conduction system disease and heart block, non-inflammatory heart failure, takotsubo syndrome and coronary artery disease. In this scientific statement on the cardiovascular toxicities of immune therapies for cancer, we summarize the pathophysiology, epidemiology, diagnosis, and management of ICI, CAR-T, NK, and TIL therapies. We also highlight gaps in the literature and where future research should focus.
Cardiotoxicity from chimeric antigen receptor-T cell therapy for advanced malignancies
Totzeck, Matthias , Michel, Lars , Lin, Yi , Herrmann, Joerg , Lin, Yi , Rassaf, Tienush

European Heart Journal | February 23, 2022 | Volume: 43 | Issue: 20 | Pages: 1928-1940

10.1093/eurheartj/ehac106 Get It

Abstract Chimeric antigen receptor (CAR)-T cell therapy is the next revolutionary advance in cancer therapy. By using ex vivo engineered T cells to specifically target antigens, a targeted immune reaction is induced. Chimeric antigen receptor-T cell therapy is approved for patients suffering from advanced and refractory B cell and plasma cell malignancies and is undergoing testing for various other haematologic and solid malignancies. In the process of triggering an anticancer immune reaction, a systemic inflammatory response can emerge as cytokine release syndrome (CRS). The severity of CRS is highly variable across patients, ranging from mild flu-like symptoms to fulminant hyperinflammatory states with excessive immune activation, associated multiorgan failure and high mortality risk. Cytokine release syndrome is also an important factor for adverse cardiovascular (CV) events. Sinus tachycardia and hypotension are the most common reflections, similar to what is seen with other systemic inflammatory response syndromes. Corrected QT interval prolongation and tachyarrhythmias, including ventricular arrhythmias and atrial fibrillation, also show a close link with CRS. Events of myocardial ischaemia and venous thromboembolism can be provoked during CAR-T cell therapy. Although not as closely related to CRS, changes in cardiac function can be observed to the point of heart failure and cardiogenic shock. This may also be encountered in patients with severe valvular heart disease in the setting of CRS. This review will discuss the pertinent CV risks of the growing field of CAR-T cell therapy for today’s cardiologists, including incidence, characteristics, and treatment options, and will conclude with an integrated management algorithm.