Cancer-related mortality have been declining in the last decades. Approximately half of adults and more than two thirds of children oncological patients live longer than 5 years after diagnosis. However, this optimistic scenario has been counterbalanced by an increasing cardiovascular risk in cancer patients. Atherosclerotic damage has been underestimated in oncology practice for a long time, but recently a significant number of cancer patients with cardiovascular risk factors and serious artery disease during and after anticancer therapy has been reported. Complexity of atherosclerosis in cancer patients is challenging. Herein, we describe cardiovascular risk factors and pathophysiological mechanisms of atherosclerosis induced by selected classic chemotherapeutics, targeted cancer therapies, hormonal agents and radiotherapy and new clinical data regarding atherosclerosis, which received a particular attention in recent years (Tab. 1, Ref. 26). Keywords: cardiovascular disease, atherosclerosis, cardiotoxicity, risk factors, hypertension, hyperlipidemia.
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http://dx.doi.org/10.4149/BLL_2019_105 | DOI Listing |
Neuro Oncol
January 2025
Division of Oncology, Children's Hospital of Philadelphia, Philadelphia, PA, USA.
Background: Central nervous system (CNS) tumors lead to cancer-related mortality in children. Genetic ancestry-associated cancer prevalence and outcomes have been studied, but is limited.
Methods: We performed genetic ancestry prediction in 1,452 pediatric patients with paired normal and tumor whole genome sequencing from the Open Pediatric Cancer (OpenPedCan) project to evaluate the influence of reported race and ethnicity and ancestry-based genetic superpopulations on tumor histology, molecular subtype, survival, and treatment.
Pain
January 2025
Department of Population Health Sciences, Weill Cornell Medicine, New York, NY, United States.
Rapid declines in opioid analgesics dispensed in American communities since 2011 raise concerns about inadequate access to effective pain management among patients for whom opioid therapies are appropriate, especially for those living in racial/ethnic minority and socioeconomically deprived communities. Using 2011 to 2021 national data from the Automated Reports and Consolidated Ordering System and generalized linear models, this study examined quarterly per capita distribution of oxycodone, hydrocodone, and morphine (in oral morphine milligram equivalents [MMEs]) by communities' racial/ethnic and socioeconomic profiles. Communities (defined by 3-digit-zip codes areas) were classified as "majority White" (≥50% self-reported non-Hispanic White population) vs "majority non-White.
View Article and Find Full Text PDFJ Clin Invest
January 2025
Department of Nuclear Medicine, Peking University Cancer Hospital & Institute, Beijing, China.
Background: B7-H3 or CD276 is notably overexpressed in various malignant tumor cells in humans, with extremely high expression rates. The development of a radiotracer that targets B7-H3 may provide a universal tumor-specific imaging agent and allow the noninvasive assessment of the whole-body distribution of B7-H3-expressing lesions.
Methods: We enhanced and optimized the structure of an affibody (ABY) that targets B7-H3 to create the radiolabeled radiotracer [68Ga]Ga-B7H3-BCH, and then, we conducted both foundational experiments and clinical translational studies.
J Med Internet Res
January 2025
Macquarie University, Australian Institute of Health Innovations, Sydney, Australia.
RR2-10.2196/25056.
View Article and Find Full Text PDFAnn Med
December 2025
Department of Neurosurgery, The Affiliated Hospital of Guizhou Medical University, Guiyang, Guizhou, PR China.
Objective: This study aims to explore the role of exosome-related genes in breast cancer (BRCA) metastasis by integrating RNA-seq and single-cell RNA-seq (scRNA-seq) data from BRCA samples and to develop a reliable prognostic model.
Methods: Initially, a comprehensive analysis was conducted on exosome-related genes from the BRCA cohort in The Cancer Genome Atlas (TCGA) database. Three prognostic genes (JUP, CAPZA1 and ARVCF) were identified through univariate Cox regression and Lasso-Cox regression analyses, and a metastasis-related risk score model was established based on these genes.
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