Find research datasets worth reusing
Search datasets from major research repositories and use ShareScore to quickly assess how well each record supports discovery, access, and reuse.
272
datasets available to search
ShareScore release 0.9.0
Dataset results
272 results for “childhood cancer”
Socioeconomic status and adiposity in childhood cancer survivors: A cross-sectional retrospective study
<p>This dataset contains information on selected indicators of socioeconomic status and anthropometric indicators of adiposity in a population of childhood cancer survivors from the Late Effect Outpatient Clinic at St. Anne's Hospital in Brno, Czech Republic. </p>
Title: Health-Related Quality of Life and DNA Methylation-Based Aging Biomarkers among Survivors of Childhood Cancer
<p><strong><span>Abstract</span></strong></p> <p><strong><span>Background: </span></strong><span>Childhood cancer survivors are at high risk for morbidity and mortality and poor patient-reported outcomes, typically health-related-quality-of-life (HRQOL). However, </span><span>associations between DNA methylation (DNAm)-based aging biomarkers and HRQOL have not been evaluated.</span></p> <p><strong><span>Methods: </span></strong><span>DNAm was generated with Infinium EPIC BeadChip on blood-derived DNA (median[range] for age at blood draw=34.5[18.5-66.6] years) and HRQOL was assessed with age at survey (32.3[18.4-64.5] years) from 2,206 survivors in the St. Jude Lifetime Cohort. DNAm-based aging biomarkers, including epigenetic age using multiple clocks (e.g., <span>GrimAge</span>) and others (e.g., DNAmB2M: beta-2-microglobulin; DNAmADM: adrenomedullin), were derived from the DNAm Age Calculator (https://dnamage.genetics.ucla.edu). HRQOL was assessed using the Medical Outcomes Study 36-Item Short-Form Health Survey to capture eight domains, and physical and mental component summaries (PCS and MCS). General linear models evaluated associations between HRQOL and epigenetic age acceleration (EAA, e.g., EAA_GrimAge) or other age-adjusted DNAm-based biomarkers (e.g., ageadj_DNAmB2M) after adjusting for age at blood draw, sex, cancer treatments, and DNAm-based surrogate for smoking pack-years. All P values were 2-sided.</span></p> <p><strong><span>Results: </span></strong><span>Worse HRQOL was associated with greater EAA_GrimAge (</span><span>PCS: β[95%CI]=-0.18[-0.251,-0.11] years, P=1.85×10<sup>-5</sup>; and four individual HRQOL domains), followed by ageadj_DNAmB2M (PCS: -0.08[-0.124,-0.037], P=0.003; and three individual HRQOL domains), and ageadj_DNAmADM (PCS: -0.082[-0.125,-0.039], P=0.002; and two HRQOL domains). EAA_Hannum (Hannum clock) was not associated with any HRQOL.</span></p> <p><strong>Conclustion: </strong>Overall and domain-specific measures of HRQOL are associated with DNAm measures of biological aging. Future longitudinal studies should test biological aging as a potential mechanism.</p>
Associations between Perceived Cancer Impact and Measures of Health Behavior in Survivors of Childhood Cancer
<p>This dataset corresponds to a manuscript titled "Associations between Perceived Cancer Impact and Measures of Health Behavior in Survivors of Childhood Cancer" which can be found in the Journal of Cancer Survivorship. https://doi.org/10.1007/s11764-024-01667-3</p>
Developing a Health Insurance Navigation Program for Survivors of Childhood Cancer
ClinicalTrials.gov study NCT04520061. IPD Sharing: NO. Countries: 1. Publications: 10.
Characterization of Patient Activation Among Childhood Cancer Survivors in the St. Jude Lifetime Cohort (SJLIFE)
<p>This dataset corresponds to a manuscript titled "Characterization of Patient Activation Among Childhood Cancer Survivors in the St. Jude Lifetime Cohort (SJLIFE) which can be found in the journal <em>Cancers.</em></p>
Factors for poor oral health in long-term childhood cancer survivors
<p>The first dataset "survivors+controls" contains data which was used in the analysis for table2, table4, table5 and table6. </p> <p>The second dataset "survivors" contains data which was used in the analysis for table3, and table7. </p>
Statin Therapy in Young Adult Survivors of Childhood Cancer
ClinicalTrials.gov study NCT01733953. IPD Sharing: NO. Countries: 1. Publications: 1.
A Multilevel Intervention to Improve Adherence to Childhood Cancer Survivorship
ClinicalTrials.gov study NCT05448560. IPD Sharing: YES. Countries: 1. Publications: 1.
Carvedilol in Preventing Heart Failure in Childhood Cancer Survivors
ClinicalTrials.gov study NCT02717507. IPD Sharing: Not stated. Countries: 4. Publications: 1.
Learning Impairments Among Survivors of Childhood Cancer
ClinicalTrials.gov study NCT00576472. IPD Sharing: Not stated. Countries: 1. Publications: 5.
Preparing for Life and Academics for Young Childhood Cancer Survivors
ClinicalTrials.gov study NCT06769334. IPD Sharing: YES. Countries: 1. Publications: 60.
Vibration Intervention For Bone Enhancement In Childhood Cancer Survivors
ClinicalTrials.gov study NCT01010230. IPD Sharing: Not stated. Countries: 1. Publications: 1.
Molecular-Guided Therapy for Childhood Cancer
ClinicalTrials.gov study NCT02162732. IPD Sharing: Not stated. Countries: 2. Publications: 1.
Telehealth Based Intervention to Improve Functional Capacity in Survivors of Childhood Cancer With Significantly Limited Exercise Tolerance
ClinicalTrials.gov study NCT04714840. IPD Sharing: YES. Countries: 1. Publications: 1.
Supplementary tables from: Long-term outcomes of patients diagnosed with differentiated thyroid cancer in childhood and young adulthood
Open the record for dataset details and reuse information.
St. Jude Lifetime Study Cohort dataset for multilevel characteristics of cumulative symptom burden in young survivors of childhood cancer
<p>The dataset contains variables from the St. Jude Lifetime Cohort Study used in the study of multilevel characteristics of cumulative symptom burden in young survivors of childhood cancer in Horan et al., 2024 (DOI:<a href="https://jamanetwork.com/journals/jamanetworkopen/fullarticle/2818384" target="_blank" rel="noopener">10.1001/jamanetworkopen.2024.10145</a>). </p> <p><strong>When using downloaded data, please cite corresponding paper and this repository:</strong></p> <ol> <li>Horan MR, Srivastava DK, Choi J, et al. Multilevel characteristics of cumulative symptom burden in young survivors of childhood cancer. <em>JAMA Netw Open.</em> 2024;7(5):e2410145. doi:10.1001/jamanetworkopen.2024.10145</li> <li>Horan MR, Srivastava DK, Choi J, et al. (2018). St. Jude Lifetime Study Cohort Dataset for multilevel characteristics of cumulative symptom burden in young survivors of childhood cancer (Version 1) [Data set]. 2024. Zenodo. http://doi.org/10.5281/zenodo.11474180</li> </ol> <p><strong>Funding:</strong></p> <p>The research reported in the manuscript was supported by the US National Cancer Institute under award numbers U01CA195547, R01CA238368, T32CA225590, and P30CA021765. The content is solely the responsibility of the authors and does not necessarily represent the official views of the funding agencies.</p>
Childhood cancer survivors' NMSC study
<div> <p>Childhood cancer survivors (CCS) are at increased risk for keratinocyte carcinomas (KC) however, the long-term incidence of single and multiple KC is not well established. This project is to identify risk factors and quantify KC cumulative incidence and multiple-incidence burden in CCS.</p> </div>
St. Jude Lifetime Study Cohort variables of determinants of health-related quality-of-life in adult survivors of childhood cancer
<p>The dataset contains variables from the St. Jude Lifetime Cohort Study used in the study of determinants of utility-based health-related quality-of-life in adult survivors of childhood cancer reported in Horan et al., 2023 (DOI:<a href="https://doi.org/10.1016/j.eclinm.2023.101921">https://doi.org/10.1016/j.eclinm.2023.101921</a>). Please cite the appropriate publications (this repository and corresponding publication above) in any communications or publications arising directly or indirectly from these data. </p> <p><strong>Funding:</strong></p> <p>The research reported in the manuscript was supported by the U.S. National Cancer Institute under award numbers U01CA195547 (Hudson/Ness), R01CA238368 (Huang/Baker), R01CA258193 (Huang/Yasui), R01CA270157 (Bhakta/Yasui), and T32CA225590 (Krull). The content is solely the responsibility of the authors and does not necessarily represent the official views of the funding agencies.</p>
Association of modifiable health conditions and social determinants of health with late mortality in survivors of childhood cancer
<p>The datasets were used for this publication "Association of Modifiable Health Conditions and Social Determinants of Health With Late Mortality in Survivors of Childhood Cancer", JAMA Netw Open. 2023 Feb 1;6(2):e2255395. doi: 10.1001/jamanetworkopen.2022.55395.</p> <p>The first dataset "data_eligible" contains "Individuals who survived ≥5 years from childhood cancer, diagnosed between 1962-2012, and treated at SJCRH were included in mortality estimates (n=9,440)." The dataset "data_life" contains "SJLIFE participants (n=3,407) who completed an on-campus assessment were included in risk factor analyses." The data "cdcrate" contains mortality rates that were used in the calculation of standardized mortality ratios.</p>
Dataset and Code: Associations of Seven Measures of Biological Age Acceleration with Frailty and All-Cause Mortality Among Adult Survivors of Childhood Cancer in the St. Jude Lifetime Cohort
Open the record for dataset details and reuse information.
ScienceDex guides
Understand access before you commit
These curated guides explain access requirements, typical timelines, costs, and reuse considerations for widely used research datasets.
Allen Brain Atlas
Allen Brain Atlas is an Allen Institute collection of brain map atlases, datasets, APIs, and analysis tools covering mouse, human, and non-human primate brain resources.
Annotated Behaviour and Observability Dataset (ABODe)
ABODe is a University of Edinburgh DataShare dataset for behavior classification in group-housed mice using home-cage video, identities, bounding boxes, ground-plate positions, and annotator labels.
DANDI Archive for NWB datasets
DANDI is a BRAIN Initiative archive for publishing and sharing neurophysiology data, including electrophysiology, optophysiology, and behavioral data packaged as NWB and related standards.
International Brain Laboratory public data
The International Brain Laboratory public data releases expose standardized mouse decision-making experiments, including Neuropixels recordings, widefield calcium imaging, behavior, and session metadata accessed through the ONE API.
OpenNeuro
OpenNeuro is a free, open platform for sharing neuroimaging datasets, with public search, dataset pages, and download paths for web, S3, DataLad, and the OpenNeuro CLI.