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ShareScore release 0.9.0
Dataset results
124 results for “early recurrence”
Molecular signaling distinguishes early from late recurrences in ER positive breast cancer
GEO Series GSE46222. Homo sapiens. 49 samples. Type: Expression profiling by array.
Genome-scale DNA methylome and transcriptome profiles of early prostate cancer recurrence after prostatectomy
GEO Series GSE282574. Homo sapiens. 29 samples. Type: Methylation profiling by genome tiling array; Expression profiling by high throughput sequencing.
Dataset related to article "Early Recurrence after Upfront Surgery for Pancreatic Ductal Adenocarcinoma "
<p>This record contains raw data related to article "Early Recurrence after Upfront Surgery for Pancreatic Ductal Adenocarcinoma"</p><p><strong>Background: </strong>Survival after surgery for pancreatic ductal adenocarcinoma (PDAC) remains poor, due to early recurrence (ER) of the disease. A global definition of ER is lacking and different cut-off values (6, 8, and 12 months) have been adopted. The aims of this study were to define the optimal cut-off for the definition of ER and predictive factors for ER.</p><p><strong>Methods: </strong>Recurrence was recorded for all consecutive patients undergoing upfront surgery for PDAC at our institute between 2010 and 2017. Receiver operating characteristic (ROC) curves were utilized, to estimate the optimal cut-off for the definition of ER as a predictive factor for poor post-progression survival (PPS). To identify predictive factors of ER, univariable and multivariable logistic regression models were used.</p><p><strong>Results: </strong>Three hundred and fifty one cases were retrospectively evaluated. The recurrence rate was 76.9%. ER rates were 29.0%, 37.6%, and 47.6%, when adopting 6, 8, and 12 months as cut-offs, respectively. A significant difference in median PPS was only shown between ER and late recurrence using 12 months as cut-off (<i>p</i> = 0.005). In the multivariate analysis, a pre-operative value of CA 19-9 > 70.5 UI/L (OR 3.10 (1.41-6.81); <i>p</i> = 0.005) and the omission of adjuvant treatment (OR 0.18 (0.08-0.41); <i>p</i> < 0.001) were significant predictive factors of ER.</p><p><strong>Conclusions: </strong>A twelve-months cut-off should be adopted for the definition of ER. Almost 50% of upfront-resected patients presented ER, and it significantly affected the prognosis. A high preoperative value of CA 19-9 and the omission of adjuvant treatment were the only predictive factors for ER.</p>
Three-dimensional chromatin architecture of early-stage mouse embryos reconstructed via recurrence plots
<p>We have previously developed the Recurrence Plot-Based Reconstruction (RPR) method for reconstructing three dimensional (3D) genomic structure from Hi-C data of single haploid cells and diploid cells. Here we used the RPR method to analyzing published scHi-C data of diploid cells derived from early-stage F1 hybrid embryos. As a proof-of-concept for understanding of global developmental changes in chromosomal architecture of early stage embryos. Processed single cell Hi-C (scHi-C) data of early stage mouse embryos were obtained from Collombet et al. (GSE129029). </p>
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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.