Browse
Submit Data
Databases
API
Help

Dataset Information

0 Views

0 Connections

0 Citations

0 Reanalyses

0 Downloads

Omics score: 0

Measurement of quality of life(QOL) in patients with solid cancer -The QOL research for developing a mapping algorithm -

ABSTRACT: Primary outcome(s): this study collects data with the aim of developing a mapping algorithm for converting QOL scores obtained from profiled QOL scales into QOL values.

DISEASE(S): Patients With Lung, Stomach, Colorectal, Breast, Or Other Solid Cancers

PROVIDER: 2649739 | ecrin-mdr-crc |

REPOSITORIES: ECRIN MDR

ACCESS DATA

Json Xml

Similar Datasets

In-situ cell-type specific chromatin topologies in the brain revealed by genome architecture mapping

Project description:We report the application of genome architecture mapping in specific cell types in mouse brain. We generated cell-type specific chromatin contact maps in mouse dopaminergic neurons from the midbrain ventral tegmental area (VTA DN), pyramidal glutamatergic neurons from the cornus ammonis 1 region of the hippocampus (CA1 PGN), and non-neuronal post-mitotic oligodendrocytes from the somatosensory cortex (SSC_Olig). We explored cell-type specific chromatin topologies genome-wide at multiple genomic scales. Our data demonstrates that chromatin organization is cell type specific and reflects cell specialization at all genomic scales.

2021-08-27 | GSE148792 | GEO

In-situ cell-type specific chromatin topologies in the brain revealed by genome architecture mapping [ATAC-seq]

2021-08-27 | GSE174024 | GEO

Mapping cell structure across scales by fusing protein images and interactions

Project description:Mapping cell structure across scales by fusing protein images and interactions

| PRJNA720057 | ENA

Systems Support Mapping in Guiding Self-Management in Stage I-III Colorectal Cancer Survivors

Project description:This pilot trial studies how well systems support mapping works in guiding self-management in stage I-III colorectal cancer survivors. Systems support mapping helps participants to see complex self-management activities on paper, which makes them more actionable. Behavioral interventions, such as systems support mapping, may help colorectal cancer survivors facilitate self-awareness, create motivation for behavior change, and guide self-management.

| 2272554 | ecrin-mdr-crc

Low-pass sequencing increases the power of GWAS and decreases measurement error of polygenic risk scores compared to genotyping arrays

Project description:Low-pass sequencing (sequencing a genome to an average depth less than 1× coverage) combined with genotype imputation has been proposed as an alternative to genotyping arrays for trait mapping and calculation of polygenic scores. To empirically assess the relative performance of these technologies for different applications, we performed low-pass sequencing (targeting coverage levels of 0.5× and 1×) and array genotyping (using the Illumina Global Screening Array (GSA)) on 120 DNA samples derived from African and European-ancestry individuals that are part of the 1000 Genomes Project. We then imputed both the sequencing data and the genotyping array data to the 1000 Genomes Phase 3 haplotype reference panel using a leave- one-out design. We evaluated overall imputation accuracy from these different assays as well as overall power for GWAS from imputed data, and computed polygenic risk scores for coronary artery disease and breast cancer using previously derived weights. We conclude that low-pass sequencing plus imputation, in addition to providing a substantial increase in statistical power for genome wide association studies, provides increased accuracy for polygenic risk prediction at effective coverages of ∼ 0.5× and higher compared to the Illumina GSA.

2021-01-31 | GSE165845 | GEO

Lymphatic Mapping and Sentinel Lymph Node Biopsy in the Treatment of Colorectal Cancer

Project description:RATIONALE: Diagnostic procedures, such as lymph node mapping and biopsy, may improve the ability to detect the extent of colorectal cancer. PURPOSE: Diagnostic trial to study the feasibility of lymph node mapping and sentinel lymph node biopsy in patients who have stage I, stage II, or stage III colorectal cancer.

| 2004727 | ecrin-mdr-crc

SEACells: Inference of transcriptional and epigenomic cellular states from single-cell genomics data

Project description:Metacells are cell groupings derived from single-cell sequencing data that represent highly granular, distinct cell states. Here, we present single-cell aggregation of cell-states (SEACells), an algorithm for identifying metacells; overcoming the sparsity of single-cell data, while retaining heterogeneity obscured by traditional cell clustering. SEACells outperforms existing algorithms in identifying accurate, compact, and well-separated metacells in both RNA and ATAC modalities across datasets with discrete cell types and continuous trajectories. We demonstrate the use of SEACells to improve gene-peak associations, compute ATAC gene scores and measure gene accessibility in each metacell. Metacell-level analysis scales to large datasets and are particularly well suited for patient cohorts, including facilitation of data integration. We use our metacells to reveal expression dynamics and gradual reconfiguration of the chromatin landscape during hematopoietic differentiation, and to uniquely identify CD4 T cell differentiation and activation states associated with disease onset and severity in a COVID-19 patient cohort.

2023-02-05 | GSE200046 | GEO

Magnetic Sentinel Lymph Node Mapping in Upper Gastro-Intestinal Cancer: A Feasibility Clinical Investigation

Project description:This is a multi-centre, partially blinded, side-by-side comparator study to assess the safety and tolerability, feasibility, and potential added diagnostic and clinical value of using the FerroTrace and FerroMag Sentinel Lymph Node Mapping (SLNM) System for mapping sentinel lymph nodes (SLNs) in subjects with gastric, gastric-oesophageal junction, and oesophageal cancers, consisting of a safety lead-in phase and an expansion phase.

| 63127 | ecrin-mdr-crc

The measurement of health-related quality of life (QOL) in paediatric clinical trials: a systematic review.

Project description:BackgroundThe goal of much care in chronic childhood illness is to improve quality of life (QOL). However, surveys suggest QOL measures are not routinely included. In addition, there is little consensus about the quality of many QOL measures.ObjectivesTo determine the extent to which quality of life (QOL) measures are used in paediatric clinical trials and evaluate the quality of measures used.DesignSystematic literature review.Review methodsIncluded paediatric trials published in English between 1994 and 2003 involving children and adolescents up to the age of 20 years, and use of a standardised QOL measure. Data Sources included MEDLINE, CINAHL, EMB Reviews, AMED, BNI, PSYCHINFO, the Cochrane library, Internet, and reference lists from review articles.ResultsWe identified 18 trials including assessment of QOL (4 Asthma, 4 Rhinitis, 2 Dermatitis, and single studies of Eczema, Cystic fibrosis, Otis media, Amblyopia, Diabetes, Obesity associated with a brain tumour, Idiopathic short stature, and Congenital agranulocytosis). In three trials, parents rated their own QOL but not their child's. Fourteen different QOL measures were used but only two fulfilled our minimal defined criteria for quality.ConclusionsThis review confirms previous reports of limited use of QOL measures in paediatric clinical trials. Our review provides information about availability and quality of measures which will be of especial value to trial developers.

| S-EPMC534785 | biostudies-literature

Transcriptome mapping of alveolar macrophages developing under Scgb1a1 deficiency.

Project description:Transcriptome mapping of alveolar macrophages developing under Scgb1a1 deficiency.

| PRJNA625292 | ENA