Download full-text PDF |
Source |
---|
Randomized controlled trials (RCTs) evaluating anti-cancer agents often lack generalizability to real-world oncology patients. Although restrictive eligibility criteria contribute to this issue, the role of selection bias related to prognostic risk remains unclear. In this study, we developed TrialTranslator, a framework designed to systematically evaluate the generalizability of RCTs for oncology therapies.
View Article and Find Full Text PDFJ Natl Compr Canc Netw
January 2025
1Division of Hematology, Medical Oncology, and Palliative Care, Department of Medicine, University of Wisconsin School of Medicine and Public Health, University of Wisconsin-Madison, Madison, WI.
Colorectal cancer (CRC) is a heterogeneous group of diseases comprising several molecular subtypes. Comprehensive DNA sequencing is now standard practice to identify these subtype. Until recently, KRAS mutation status in metastatic CRC was primarily used as a biomarker to predict resistance to EGFR inhibition.
View Article and Find Full Text PDFJCO Clin Cancer Inform
January 2025
School of Nursing, University of Alabama at Birmingham, Birmingham, AL.
Purpose: Modeling passively collected smartphone sensor data (called digital phenotyping) has the potential to detect distress among family caregivers and patients with advanced cancer and could lead to novel clinical models of cancer care. The purpose of this study was to assess the feasibility and acceptability of collecting passive smartphone data from family caregivers and their care recipients with advanced cancer over 24 weeks.
Methods: This was an observational feasibility study.
Cancer Res Treat
December 2024
Department of Preventive Medicine, Korea University College of Medicine, Seoul, Korea.
Purpose: Although South Korea's health insurance has a co-payment-decreasing policy for cancer survivors, information on the extent of financial toxicity and its related factors is limited. We assessed the level of financial toxicity and the association of high levels of financial toxicity with employment concerns after diagnosis and cancer-related distress in working-age cancer survivors.
Materials And Methods: A cross-sectional study was conducted.
NPJ Precis Oncol
October 2024
Division of Health Policy, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA.
Deep learning models for predicting variant pathogenicity have not been thoroughly evaluated on real-world clinical phenotypes. Here, we apply state-of-the-art pathogenicity prediction models to hereditary breast cancer gene variants in UK Biobank participants. Model predictions for missense variants in BRCA1, BRCA2 and PALB2, but not ATM and CHEK2, were associated with breast cancer risk.
View Article and Find Full Text PDFEnter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!