This study was designed to observe whether disparities exist between ethnicities in reporting a family history of cancer in a cancer genetic counseling clinic. Four hundred sixty-nine pedigrees collected between 2015 to 2017 from a cancer clinic at the University of California, Irvine, were analyzed. Pedigrees were separated by ethnicity into the following categories: non-Hispanic White, Hispanic, Asian, or Ashkenazi Jewish. The number of first- and second-degree relatives was calculated for each pedigree, and the total number of relatives reported with cancer. The total reported with cancer was divided by total number of relatives to derive a percentage of cancer reporting for each pedigree. The percentages of cancer reporting were analyzed using column proportions, nonparametric tests, and a Poisson regression. Cancer reporting in first- and second-degree relatives was highest among non-Hispanic Whites and Ashkenazi Jewish individuals, with median percentages of 22% and 27%, respectively. The median percentage of cancer reporting in first- and second-degree relatives in both Hispanics and Asians was 10%. Cancer reporting medians were significantly lower in Hispanics and Asians when compared to non-Hispanic Whites and Ashkenazi Jewish individuals (p < .001). Ethnicity was a significant factor for predicting the number of relatives reported to have cancer when analyzed with a Poisson regression. This study concluded that cancer is reported less frequently in families when the proband and their families are Hispanic or Asian. Hispanics and Asians have lower cancer incidence rates; however, incidence rates alone may not explain the reporting disparity observed. Hence, family cancer histories in minority populations may be truncated. Healthcare professionals should be aware of this disparity when assessing cancer risks so appropriate modifications can be made accordingly for recommended cancer screening and/or cancer genetic testing. Further efforts are warranted to disseminate information to minority populations about the value of family health history regarding cancer risk assessment.
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http://dx.doi.org/10.1002/jgc4.1264 | DOI Listing |
JACS Au
December 2024
State Key Laboratory of Chemical Biology, Shanghai Institute of Organic Chemistry, Chinese Academy of Sciences, No. 345 Lingling Road, Shanghai 200032, China.
Macrocyclization is a compelling strategy for conventional drug design for improving biological activity, target specificity, and metabolic stability, but it was rarely applied to the design of PROTACs possibly due to the mechanism and structural complexity. Herein, we report the rational design of the first series of "Head-to-Tail" macrocyclic PROTACs. The resulting molecule exhibited pronounced Brd4 protein degradation with low nM DC values while almost totally dismissing the "hook effect", which is a general character and common concern of a PROTAC, in multiple cancer cell lines.
View Article and Find Full Text PDFJTO Clin Res Rep
December 2024
Department of Pulmonary Diseases, GROW Research Institute for Oncology and Reproduction, Maastricht University Medical Center+, Maastricht, The Netherlands.
This review discusses the current data on predictive and prognostic biomarkers in oligometastatic NSCLC and discusses whether biomarkers identified in other stages and widespread metastatic disease can be extrapolated to the oligometastatic disease (OMD) setting. Research is underway to explore the prognostic and predictive value of biological attributes of tumor tissue, circulating cells, the tumor microenvironment, and imaging findings as biomarkers of oligometastatic NSCLC. Biomarkers that help define true OMD and predict outcomes are needed for patient selection for oligometastatic treatment, and to avoid futile treatments in patients that will not benefit from locoregional treatment.
View Article and Find Full Text PDFJTO Clin Res Rep
December 2024
Department of Pathology and Medical Biology, University of Groningen, University Medical Center Groningen, Groningen, The Netherlands.
Introduction: Programmed death-ligand 1 (PD-L1) is the main predictive biomarker used to identify patients with NSCLC who are eligible for treatment with immune checkpoint inhibitors. Despite its utility, the predictive capacity of PD-L1 is limited, necessitating the exploration of supplementary predictive biomarkers. In this report, we describe the prognostic value of / mutation status for overall survival (OS) in patients with NSCLC treated with first-line immunotherapy or combined chemoimmunotherapy.
View Article and Find Full Text PDFIran J Parasitol
January 2024
Department of Chest Diseases, School of Medicine, Hacettepe University, Ankara, Turkey.
remains a global public health issue. Although predominantly affecting the liver, the lungs are the second most affected organ and often undergo surgical intervention. Here, a case managed by bronchoscopy and medical therapy is presented.
View Article and Find Full Text PDFChem Biomed Imaging
December 2024
Key Laboratory of Analytical Chemistry for Life Science of Shaanxi Province, School of Chemistry and Chemical Engineering, Shaanxi Normal University, Xi'an, 710062, P. R. China.
Photodynamic therapy (PDT) has long been receiving increasing attention for the minimally invasive treatment of cancer. The performance of PDT depends on the photophysical and biological properties of photosensitizers (PSs). The always-on fluorescence signal of conventional PSs makes it difficult to real-time monitor phototherapeutic efficacy in the PDT process.
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