Background: Patients with testicular cancer treated with chemotherapy have an increased risk of developing early cardiovascular events. Identification of patients with testicular cancer at a high risk of these events enables the development of preventative strategies. This study validates the vascular fingerprint tool to identify these patients.
Patients And Methods: We carried out a multicenter prospective study in patients with metastatic testicular cancer [International Germ Cell Cancer Collaborative Group (IGCCCG) good or intermediate risk; retroperitoneal mass <5 cm]. In eligible patients, the vascular fingerprint was assessed before the start of cisplatin-based chemotherapy, which consists of five risk factors, namely, smoking, overweight (body mass index >25 kg/m), hypertension (blood pressure >140/90 mmHg), dyslipidemia (fasting cholesterol >5.1 mmol/l or low-density lipoprotein-cholesterol >2.5 mmol/l), and diabetes mellitus (fasting glucose ≥7.0 mmol/l). The presence of three or more risk factors was defined as high-risk vascular fingerprints. A log-rank test was carried out with a cardiovascular event within 1 year after the start of chemotherapy as the primary endpoint.
Results: A total of 196 patients with metastatic testicular cancer were included; 15 patients (8%) developed a cardiovascular event: 4 (2%) arterial events and 11 (6%) venous thrombotic events. Overall, 189 vascular fingerprint scores were available. Patients with a high-risk vascular fingerprint (62/189) had a higher risk of developing a cardiovascular event (hazard ratio 3.27, 95% confidence interval 1.16-9.18; log-rank: P = 0.017). Histological diagnosis, prognosis group, cumulative chemotherapy dose, and retroperitoneal mass size did not differ between patients with or without a cardiovascular event. All patients with an arterial event had a high-risk vascular fingerprint compared with 5/11 patients with a venous event. Overweight was more prevalent in patients with cardiovascular events (87% versus 59%; P = 0.037).
Conclusions: The vascular fingerprint is a validated tool to identify patients with testicular cancer at a high risk of developing early cardiovascular events. This tool can be used to develop preventative strategies with anticoagulant treatment.
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http://dx.doi.org/10.1016/j.esmoop.2024.103631 | DOI Listing |
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Cardiovascular Theranostics, Istituto Cardiocentro Ticino, Laboratories for Translational Research, Ente Ospedaliero Cantonale, Bellinzona, Switzerland.
Extracellular vesicles (EVs) offer valuable diagnostic and prognostic insights for cardiovascular (CV) diseases, but the influence of age-related chronic inflammation ("inflammaging") and sex differences on EV profiles linked to CV risk remains unclear. This study aimed to use EV profiling to predict age and stratify patients by CV risk. We developed an EVaging index by analyzing surface antigen profiles of serum EVs from 625 participants, aged 20 to 94 years, across varying CV risk groups.
View Article and Find Full Text PDFPlants (Basel)
November 2024
Botanical Garden, University of Osnabrück, 29 Albrechtstrasse, 49076 Osnabrück, Germany.
(B. Fedtsch.) Grierson is listed in the Red Data Book of Kazakhstan as a rare relic, narrowly endemic species of the Shu-Ile low mountains (Kazakhstan).
View Article and Find Full Text PDFNucl Med Mol Imaging
December 2024
Department of Radiology and Center for Imaging Science, Heart Vascular Stroke Institute, Samsung Medical Center, Sungkyunkwan University School of Medicine, 81 Irwonro, Gangnam-Gu, Seoul, 06351 South Korea.
Cancer Med
December 2024
Department of Anesthesia and Intensive Care, Clinical Sensoring and Monitoring, University Hospital and Faculty of Medicine Carl Gustav Carus, Technische Universität Dresden, Dresden, Germany.
Background: Pancreatic ductal adenocarcinoma (PDAC) continues to pose profound challenges within the field of oncology due to its notorious resistance to existing therapies and constant high mortality rates. The recent emergence of three-dimensional patient-derived organoid (PDO) models marks a significant advancement, opening new avenues for exploring cancer biology and assessing therapeutic approaches.
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J Transl Med
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Department of Pharmacy, Honghui Hospital, Xi'an Jiaotong University, Xi'an, 710054, China.
Despite the proven inhibitory effects of drugs targeting vascular endothelial growth factor receptor 2 (VEGFR2) on solid tumors, including non-small cell lung cancer (NSCLC), the development of anti-NSCLC drugs solely targeting VEGFR2 still faces risks such as off-target effects and limited efficacy. This study aims to develop a novel fingerprint-enhanced graph attention convolutional network (FnGATGCN) model for predicting the activity of anti-NSCLC drugs. Employing a multimodal fusion strategy, the model integrates a feature extraction layer that comprises molecular graph feature extraction and molecular fingerprint feature extraction.
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