Purpose: An open-label, noninferiority study to evaluate the impact of epoetin alfa (EPO) on tumor outcomes when used to treat anemia in patients receiving chemotherapy for metastatic breast cancer.
Methods: Women with hemoglobin ≤ 11.0 g/dL, receiving first- or second-line chemotherapy for metastatic breast cancer, were randomly assigned to EPO 40,000 IU subcutaneously once a week or best standard of care. The primary end point was progression-free survival (PFS). Secondary end points included overall survival, time to tumor progression, overall response rate, RBC transfusions, and thrombotic vascular events.
Results: In 2,098 patients randomly assigned, median PFS (based on investigator-determined disease progression [PD]) was 7.4 months in both groups (hazard ratio [HR], 1.089; 95% CI, 0.988 to 1.200); upper bound exceeded prespecified noninferiority margin of 1.15. Median PFS per independent review committee-determined PD was 7.6 months in both groups (HR, 1.028; 95% CI, 0.922 to 1.146); upper bound did not exceed prespecified noninferiority margin. Median overall survival at clinical cutoff (1,337 deaths) was 17.2 months in the EPO and 17.4 months in the best standard of care group (HR, 1.057; 95% CI, 0.949 to 1.177), median time to tumor progression was 7.5 months in both groups (HR, 1.094; 95% CI, 0.991 to 1.209), and overall response rate was 50% versus 51% (odds ratio, 0.950; 95% CI, 0.799 to 1.130). RBC transfusions were 5.8% versus 11.4% (P < .001), and thrombotic vascular events were 2.8% versus 1.4% (P = .038), respectively.
Conclusion: The primary end point, PFS based on investigator-determined PD, did not meet noninferiority criteria. As a consistency assessment with the primary finding, PFS based on independent review committee-determined PD met noninferiority criteria. Overall, this study did not achieve noninferiority objective in ruling out a 15% increased risk in PD/death. RBC transfusion should be the preferred approach for the management of anemia in this population.
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http://dx.doi.org/10.1200/JCO.2015.63.5649 | DOI Listing |
Am J Hum Genet
December 2024
Department of Molecular and Human Genetics, Baylor College of Medicine, Houston, TX 77030, USA; The Jan and Dan Duncan Neurological Research Institute, Texas Children's Hospital, Houston, TX 77030, USA. Electronic address:
In recent years, significant efforts have been made to improve methods for genomic studies of admixed populations using local ancestry inference (LAI). Accurate LAI is crucial to ensure that downstream analyses accurately reflect the genetic ancestry of research participants. Here, we test analytic strategies for LAI to provide guidelines for optimal accuracy, focusing on admixed populations reflective of Latin America's primary continental ancestries-African (AFR), Amerindigenous (AMR), and European (EUR).
View Article and Find Full Text PDFEarly Hum Dev
December 2024
Department of Neonatology, Wilhelmina Children's Hospital, University Medical Center Utrecht, Lundlaan 6, 3584 EA Utrecht, the Netherlands.
Introduction: Non-invasive respiratory support strategies have evolved to avoid bronchopulmonary dysplasia (BPD) in preterm infants. However, consensus on the best treatment strategy remains lacking. This study aims to investigate current practices and variations in primary respiratory support for extremely preterm neonates across neonatal intensive care units (NICUs) in the Netherlands.
View Article and Find Full Text PDFLung Cancer
December 2024
Università Vita-Salute San Raffaele, Milan, Italy; Department of Medical Oncology, IRCCS Ospedale San Raffaele, Milan, Italy.
Background: Artificial intelligence (AI) models are emerging as promising tools to identify predictive features among data coming from health records. Their application in clinical routine is still challenging, due to technical limits and to explainability issues in this specific setting. Response to standard first-line immunotherapy (ICI) in metastatic Non-Small-Cell Lung Cancer (NSCLC) is an interesting population for machine learning (ML), since up to 30% of patients do not benefit.
View Article and Find Full Text PDFPhys Rev Lett
December 2024
Departement de Physique Theorique, Universite de Geneve, 24 quai Ernest Ansermet, 1211 Geneve 4, Switzerland.
We consider resonant wavelike dark matter conversion into low-frequency radio waves in the Earth's ionosphere. Resonant conversion occurs when the dark matter mass and the plasma frequency coincide, defining a range m_{DM}∼10^{-9}-10^{-8} eV where this approach is best suited. Owing to the nonrelativistic nature of dark matter and the typical variational scale of the Earth's ionosphere, the standard linearized approach to computing dark matter conversion is not suitable.
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