The emergence of the Coronavirus Disease 2019 (COVID-19) has caused profound upset in health systems around the world. As cancer patients seem to be at greater risk, the organization of oncological care had to be adapted. We first report the progress of the "first wave" of COVID-19 at the Institut Curie, a French comprehensive cancer center, by describing the measures implemented to limit the risk of transmission of COVID-19 while ensuring as much as possible the continuation of anticancer treatments. Then, we present the results of a prospective institutional database in which the characteristics and outcome of our patients with cancer and suffering from COVID-19 were collected. From March 13 to April 25, 2020, 141 patients followed at Institut Curie for cancer developed COVID-19, of which 26 (18%) died from it. The minimum incidence of COVID-19 in Institut Curie is estimated at 1.4% over this period. No risk factors for developing a severe form of COVID-19 related to cancer have been identified. Cancer patients do not appear to be at greater risk of developing COVID-19, nor of having a more severe form than the general population. With the current increase of COVID-19 cases, it seems essential to share the experience already acquired to minimize the impact of this crisis on the long-term outcome of patients followed for cancer.
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http://dx.doi.org/10.1016/j.bulcan.2021.02.008 | 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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