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90
datasets available to search
ShareScore release 0.9.0
Dataset results
90 results for “toxicity prediction”
Use Peripheral Blood Proteomics to Predict the Treatment Response and Toxicities in NSCLC Immunotherapy
ClinicalTrials.gov study NCT03951012. IPD Sharing: NO. Countries: 1. Publications: 2.
Plasma Biomarker in Predicting Response and Toxicity in HCC Patients Treated With Checkpoint Inhibitors With or Without SBRT
ClinicalTrials.gov study NCT06408753. IPD Sharing: UNDECIDED. Countries: 1. Publications: 25.
Predicting the Impact of Treatment Toxicities on Health During Cancer ( PATTERN )
ClinicalTrials.gov study NCT05790538. IPD Sharing: Not stated. Countries: 1. Publications: 1.
Predicting Radiotherapy Response and Toxicities in Soft Tissue Sarcoma of the Extremities - Cohort B
ClinicalTrials.gov study NCT05978024. IPD Sharing: NO. Countries: 1. Publications: 1.
Determination of Predictive Genetic Markers of Toxicity After Hypofractionated Radiotherapy in Breast Cancer Patients Post-Conservative Surgery
ClinicalTrials.gov study NCT01316328. IPD Sharing: Not stated. Countries: 1. Publications: 3.
Prediction of Excretion and Toxicity of High Dose Methotrexate in Children and Adolescents With ALL
ClinicalTrials.gov study NCT02133599. IPD Sharing: Not stated. Countries: 1. Publications: 15.
Predictive Toxicity Test Linked to Radiotherapy After Mastectomy and Immediate Implant Reconstruction
ClinicalTrials.gov study NCT04342546. IPD Sharing: NO. Countries: 1. Publications: 6.
Predictive Markers of Response and Toxicity in Patients With a Haematological Malignancy Treated With Immunotherapy.
ClinicalTrials.gov study NCT05450367. IPD Sharing: NO. Countries: 1. Publications: 1.
Geriatric Assessment in Predicting Chemotherapy Toxicity and Vulnerabilities in Older Patients With Cancer
ClinicalTrials.gov study NCT02517034. IPD Sharing: Not stated. Countries: 1. Publications: 1.
Using Microbiome to Predict Durvalumab Toxicity in Post- Concurrent Chemoradiation Therapy (CCRT) NSCLC Patients
ClinicalTrials.gov study NCT04680377. IPD Sharing: Not stated. Countries: 1. Publications: 2.
Predicting Chemo Toxicity Using Geriatric Forms
ClinicalTrials.gov study NCT07163169. IPD Sharing: UNDECIDED. Countries: 1. Publications: 12.
Data from: A systems toxicology approach for the prediction of kidney toxicity and its mechanisms in vitro
The failure to predict kidney toxicity of new chemical entities early in the development process before they reach humans remains a critical issue. Here, we used primary human kidney cells and applied a systems biology approach that combines multidimensional datasets and machine learning to identify biomarkers that not only predict nephrotoxic compounds but also provide hints towards their mechanism of toxicity. Gene expression and high content imaging phenotypical data from 46 diverse kidney toxicants were analyzed using Random Forest machine learning. Imaging features capturing changes in cell morphology and nucleus texture along with mRNA levels of HMOX1 and SQSTM1 were identified as the most powerful predictors of toxicity. These biomarkers were validated by their ability to accurately predict kidney toxicity of 4 out of 6 candidate therapeutics that exhibited toxicity only in in late stage preclinical/clinical studies. Network analysis of similarities in toxic phenotypes was performed based on live-cell high-content image analysis at seven time points. Using compounds with known mechanism as reference, we could infer potential mechanisms of toxicity of candidate therapeutics. In summary, we report an approach to generate a multidimensional biomarker panel for mechanistic de-risking and prediction of kidney toxicity in vitro for new therapeutic candidates and chemical entities.
Data from: Small RNAs in rat sperm are a predictive and sensitive biomarker of exposure to the testicular toxicant ethylene glycol monomethyl ether.
Testicular histology and semen parameters are considered the gold standards when determining male reproductive toxicity. Ethylene glycol monomethyl ether (EGME) is a testicular toxicant with well-described effects on histopathology and sperm parameters. To compare the predictivity and sensitivity of molecular biomarkers of testicular toxicity to the traditional endpoints, small RNAs in the sperm were analyzed by next generation RNA-sequencing (RNA-seq). Adult rats were exposed to 0, 50, 60, or 75 mg/kg EGME by oral gavage for 5 consecutive days. Testis histology, epididymal sperm motility and sperm small RNAs, including microRNAs (miRNAs), mRNA fragments, piwi-associated RNAs (piRNAs), and tRNA fragments (tRFs), were analyzed 5 weeks after cessation of exposure. Testicular histology showed a significant dose-dependent increase in retained spermatid heads (RSH), while sperm motility declined with increasing dose. RNA-seq of sperm small RNAs was used to identify significant dose-dependent changes in percent mRNA fragments (of total reads), percent miRNAs (of total reads), average tRF length, average piRNA length, and piRNA and tRF length-distributions. Discriminant analysis showed relatively low predictivity of treatment based on RSH or motility compared to the average read length of all aligned RNAs. Benchmark dose (BMD) modeling resulted in a BMD of 62 mg/kg using RSH, whereas average read length of all aligned RNAs resulted in a BMD of 47 mg/kg. These results showed that sperm small RNAs are sensitive and predictive biomarkers of EGME-induced male reproductive toxicity.
The use of the Prognostic Nutritional Index to predict chemotherapy toxicities in patients with ovarian cancer: Long-term experience of a tertiary center
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Paraoxonase-1 Pseudo Cholinesterase Organophosphate Toxicity Enzyme in Prediction the Severity and Outcome of Acute Organophosphate Poisoning and Its Correlation With Pseudo Cholinesterase Enzyme Leve
ClinicalTrials.gov study NCT06108557. IPD Sharing: Not stated. Countries: 0. Publications: 4.
Predicting Chemotherapy Toxicity Using FRAIL and FIND in Older Adults With Gastrointestinal Cancers
ClinicalTrials.gov study NCT07272538. IPD Sharing: NO. Countries: 1. Publications: 0.
Prediction of Chemotherapy Toxicity and Survival in Elderly Cancer Patients by CARG Score
ClinicalTrials.gov study NCT05432726. IPD Sharing: UNDECIDED. Countries: 0. Publications: 4.
Data from: Small RNAs in rat sperm are a predictive and sensitive biomarker of exposure to the testicular toxicant ethylene glycol monomethyl ether.
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Data from: A systems toxicology approach for the prediction of kidney toxicity and its mechanisms in vitro
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Drug Combination Signatures for Prediction and Mitigation of Toxicity
GEO Series GSE156384. Homo sapiens. 80 samples. Type: Expression profiling by high throughput sequencing.
ScienceDex guides
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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.