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The burden of cancer and access to effective treatment are not experienced equally by all in the United States. For underserved populations that often access the health-care system when their cancers are in advanced disease stages, radiation oncology services are essential. In 2001, the National Cancer Institute's (NCI's) Radiation Research Program created and implemented the Cancer Disparities Research Partnership Program (CDRP). CDRP was a pioneering funding model whose goal was to increase participation of medically underserved populations in NCI clinical trials. CDRP's Cooperative Agreement funding supported for awardees the planning, development, and conduct of radiation oncology clinical research in institutions not traditionally involved in NCI-sponsored research and cared for a disproportionate number of medically underserved, health-disparities populations. The awardee secured and provided support for mentorship from 1 of 2 NCI comprehensive cancer centers named in its application. Six CDRP awards were made over two 5-year funding periods ending in 2013, with the end-of-program accomplishments previously reported. With the current focus on addressing equity, diversity, and inclusion, the 6 principal investigators were surveyed, 5 of whom responded about the impact of CDRP on their institutions, communities, and personal career paths. The survey that was emailed included 10 questions on a 5-point Likert scale. It was not possible to collect patient data this long after completion of the program. This article provides a 20-year retrospective of the experiences and observations from those principal investigators that can inform those now planning, building, and implementing equity, diversity, and inclusion programs.
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http://dx.doi.org/10.1093/jnci/djad173 | DOI Listing |
Lab Anim Res
September 2025
Korea Model Animal Priority Center (KMPC), Seoul, Republic of Korea.
Background: Laboratory animal veterinarians play a crucial role as a bridge between the ethical use of laboratory animals and the advancement of scientific and medical knowledge in biomedical research. They alleviate pain and reduce distress through veterinary care of laboratory animals. Additionally, they enhance animal welfare by creating environments that mimic natural habitats through environmental enrichment and social associations.
View Article and Find Full Text PDFNutr J
September 2025
Department of Gastroenterology and Hepatology, Hangzhou Red Cross Hospital, 208 Huancheng Dong Road, Hangzhou, 310003, Zhejiang Province, China.
Background: The potential association between dietary inflammatory index (DII) and colorectal cancer (CRC) risk, as well as colorectal adenomas (CRA) risk, has been extensively studied, but the findings remain inconclusive. We conducted this systematic review and dose-response meta-analysis to investigate the relationship between the DII and CRC and CRA.
Methods: We comprehensively searched the PubMed, Embase, Cochrane Library, and Web of Science databases for cohort and case-control studies reporting the relationship between DII and CRA, or between DII and CRC, as of 15 July 2025.
Genome Biol
September 2025
Department of Clinical Pharmacy, Alfred E. Mann School of Pharmacy and Pharmaceutical Sciences, University of Southern California, Los Angeles, CA, 90089, USA.
Background: Recent advances in high-throughput sequencing technologies have enabled the collection and sharing of a massive amount of omics data, along with its associated metadata-descriptive information that contextualizes the data, including phenotypic traits and experimental design. Enhancing metadata availability is critical to ensure data reusability and reproducibility and to facilitate novel biomedical discoveries through effective data reuse. Yet, incomplete metadata accompanying public omics data may hinder reproducibility and reusability and limit secondary analyses.
View Article and Find Full Text PDFGenome Biol
September 2025
Department of Evolutionary Genetics, Max-Planck Institute for Evolutionary Biology, Plön, Germany.
Background: Most RNA-seq datasets harbor genes with extreme expression levels in some samples. Such extreme outliers are usually treated as technical errors and are removed from the data before further statistical analysis. Here we focus on the patterns of such outlier gene expression to investigate whether they provide insights into the underlying biology.
View Article and Find Full Text PDFGenome Biol
September 2025
Center for Genomic Medicine, Cardiovascular Research Center, , Massachusetts General Hospital Simches Research Center, 185 Cambridge Street, CPZN 5.238,, Boston, MA, 02114, USA.
Background: Rare genetic variation provided by whole genome sequence datasets has been relatively less explored for its contributions to human traits. Meta-analysis of sequencing data offers advantages by integrating larger sample sizes from diverse cohorts, thereby increasing the likelihood of discovering novel insights into complex traits. Furthermore, emerging methods in genome-wide rare variant association testing further improve power and interpretability.
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