As the number of cancer survivors expands, the need for cancer control and survivorship research becomes increasingly important. The National Cancer Institute (NCI) Cooperative Groups may offer a viable platform to perform such research. Observational, preventive, and behavioral research can often be performed within the cooperative group setting, especially if resources needed for evaluation are fairly simple, if protocols are easily implemented within the typical clinical setting, and if interventions are well standardized. Some protocols are better suited to cooperative groups than are others, and there are advantages and disadvantages to conducting survivorship research within the cooperative group setting. Behavioral researchers currently involved in cooperative groups, as well as program staff within the NCI, can serve as sources of information for those wishing to pursue symptom management and survivorship studies within the clinical trial setting. The structure of the cooperative groups is currently changing, but going forward, survivorship is bound to be a topic of interest and one that perhaps may be more easily addressed using the proposed more centralized structure.
Download full-text PDF |
Source |
---|---|
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC3124556 | PMC |
http://dx.doi.org/10.1158/1055-9965.EPI-11-0176 | DOI Listing |
Radiat Oncol
January 2025
German Cancer Consortium (DKTK), partner site Tübingen, and German Cancer Research Center (DKFZ), Heidelberg, Germany.
Background: For radiotherapy of head and neck cancer (HNC) magnetic resonance imaging (MRI) plays a pivotal role due to its high soft tissue contrast. Moreover, it offers the potential to acquire functional information through diffusion weighted imaging (DWI) with the potential to personalize treatment. The aim of this study was to acquire repetitive DWI during the course of online adaptive radiotherapy on an 1.
View Article and Find Full Text PDFWorld J Surg Oncol
January 2025
Department of Hematology, Huzhou Central Hospital, Affiliated Central Hospital of Huzhou University, Huzhou, Zhejiang, 313000, China.
Background: The significance of the controlling nutritional status (CONUT) score in predicting the prognostic outcomes of diffuse large B-cell lymphoma (DLBCL) has been widely explored, with conflicting results. Therefore, the present meta-analysis aimed to identify the prognostic significance of the CONUT in DLBCL by aggregating current evidence.
Methods: The Web of Science, PubMed, Embase, CNKI and Cochrane Library databases were searched for articles from inception to October 15, 2024.
Nat Commun
January 2025
Climate Finance and Policy Group, ETH Zurich, Zurich, Switzerland.
By providing guarantees and direct lending, public export credit agencies (ECAs) de-risk and thus enable energy projects worldwide. Despite their importance for global greenhouse gas emission pathways, a systematic assessment of ECAs' role and financing patterns in the low-carbon energy transition is still needed. Using commercial transaction data, here we analyze 921 energy deals backed by ECAs from 31 OECD and non-OECD countries (excluding Canada) between 2013 and 2023.
View Article and Find Full Text PDFNature
January 2025
International Union for the Conservation of Nature (IUCN) Conservation Genetics Specialist Group (CGSG), .
Mitigating loss of genetic diversity is a major global biodiversity challenge. To meet recent international commitments to maintain genetic diversity within species, we need to understand relationships between threats, conservation management and genetic diversity change. Here we conduct a global analysis of genetic diversity change via meta-analysis of all available temporal measures of genetic diversity from more than three decades of research.
View Article and Find Full Text PDFSci Rep
January 2025
School of Electronics and Information Engineering, University of Science and Technology Liaoning, Anshan, 114051, China.
Collective behavior in biological systems emerges from local interactions among individuals, enabling groups to adapt to dynamic environments. Traditional modeling approaches, such as bottom-up and top-down models, have limitations in accurately representing these complex interactions. We propose a novel potential field mechanism that integrates local interactions and environmental influences to explain collective behavior.
View Article and Find Full Text PDFEnter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!