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2,032 results for “metastases”
Data from: MET receptor activation by stromal cells serves as promising target in melanoma brain metastases
<p>Supplementary tables to our recent manuscript: MET receptor activation by stromal cells serves as promising target in melanoma brain metastases</p>
Radiomics and machine learning analysis by computed tomography and magnetic resonance imaging in colorectal liver metastases prognostic assessment
<p>We uploaded the raw data related to extracted features of the manuscript "Granata V, Fusco R, De Muzio F, Brunese MC, Setola SV, Ottaiano A, Cardone C, Avallone A, Patrone R, Pradella S, Miele V, Tatangelo F, Cutolo C, Maggialetti N, Caruso D, Izzo F, Petrillo A. Radiomics and machine learning analysis by computed tomography and magnetic resonance imaging in colorectal liver metastases prognostic assessment. Radiol Med. 2023 Nov;128(11):1310-1332. doi: 10.1007/s11547-023-01710-w. Epub 2023 Sep 11. PMID: 37697033."</p>
Mice MR Images (lungs and pulmonary metastases)
<p>55 mice were imaged after injection on a 7T Bruker BioSpec system equipped with a gradient coil of 660 mT/m maximum strength and 110 μs rise time. 27 mice with Crispr/Cas9 il34 KO gene and 28 controls. Animals were imaged every week: from day 6 to day 32 post-implantation for control mice and from day 8 till their condition deteriorated (up to day 141 at most) for il34 mice. Two additional healthy mice were scanned 3 times, two times without repositioning and one time after waking them up in order to evaluate the reproducibility of the lungs’ segmentations.</p> <p>The balanced Steady State Free Precession (bSSFP) sequence was chosen, as it has previously been shown that high tumor contrast can be obtained in the brain and in the liver (<a href="https://doi.org/10.1002/jmri.21449">https://doi.org/10.1002/jmri.21449</a> ; <a href="https://doi.org/10.1002/jmri.22593">https://doi.org/10.1002/jmri.22593</a> ; <a href="https://doi.org/10.1002/jmri.24688">https://doi.org/10.1002/jmri.24688</a>). Combined with the Self-Gating (SG) method, it enables to delete echoes affected by motion and consequently obtain abdominal images without motion artifact (<a href="https://doi.org/10.1002/jmri.24688">https://doi.org/10.1002/jmri.24688</a>). </p> <p>Corresponding masks were manually drawn around the lungs on every slice of 185 3D images; masks were manually drawn around the pulmonary metastases on every slice of 62 3D images containing metastases. Both tasks were performed by two different investigators.</p> <p>Link to the code : https://github.com/cbib/DeepMeta</p>
CT Scans of Spine with Metastases (Lytic, Sclerotic)
<p>This dataset comprises 38 CT scans of the spine with identified and segmented metastatic lesions, focusing on two types of metastases: lytic and sclerotic. The dataset was used in the research article, "Artificial Intelligence Assisted Detection and Localization of Spinal Metastases." Each CT scan includes detailed metadata, such as:</p> <ul> <li><strong>Type of Metastasis</strong>: Classified as either lytic or sclerotic.</li> <li><strong>Primary Site of Metastasis</strong>: The original location of the cancer that metastasized to the spine, including sites such as melanoma, lungs, ovary, breast, prostate, kidney, blader, large intestine, multiple myeloma, stomach.</li> <li><strong>Sex</strong>: Patient gender (male or female).</li> </ul> <p>This dataset was collected for research purposes and can serve as a valuable resource for further studies in oncology, radiology, and artificial intelligence-assisted diagnostics. The dataset is anonymized to ensure patient confidentiality.</p> <p>Edelmers, E.; Ņikuļins, A.; Sprūdža, K.L.; Stapulone, P.; Pūce, N.S.; Skrebele, E.; Siņicina, E.E.; Cīrule, V.; Kazuša, A.; Boločko, K. AI-Assisted Detection and Localization of Spinal Metastatic Lesions. <em>Diagnostics</em> <strong>2024</strong>, <em>14</em>, 2458. https://doi.org/10.3390/diagnostics14212458</p>
Spatially Resolved Transcriptomics Deconvolutes Prognostic Histological Subgroups in Patients with Colorectal Cancer and Synchronous Liver Metastases
<p>Spatial transcriptomic data (counts.csv) derived using the Nanostring GeoMx digital spatial profiler platform to analyse matched colonic primary and liver metastases from 4 patients with metastatic colorectal cancer. 48 AOIs of cancer transcriptome atlas data. Normalised using Q3 normalisation. In addition, normalised data (Counts - ncounter.csv) from ncounter bulk experiment comparing matched colonic primary and liver metastases</p>
Lapatinib for Brain Metastases In ErbB2-Positive Breast Cancer
ClinicalTrials.gov study NCT00263588. IPD Sharing: UNDECIDED. Countries: 17. Publications: 1.
Deciphering genomic evolution of metastatic organotropism with 535 paired primary lung cancers and metastases
<p>Scripts and processed data used in the analyses of the manuscript:</p> <p><em>Deciphering genomic evolution of metastatic organotropism with 535 paired primary lung cancers and metastases.</em></p>
Data from: Combined analysis of micro RNA and proteomic profiles and interactions in patients with primary lung adenocarcinoma and lung adenocarcinoma brain metastases
<p>We carried out an analysis of miRNAs expression profiles and protein spectrums of non-metastatic primary lung adenocarcinoma (LP) and patients with brain metastases (BM) to better explore the molecular basis of BM. Files containing raw data of miRNA expression and proteomic profiles in the manuscript "Combined analysis of micro RNA and proteomic profiles and interactions in patients with primary lung adenocarcinoma and lung adenocarcinoma brain metastases".</p>
BIOMETSCO progress presentation 2022: Identification of Novel Biomarkers and Drug Targets for the Detection and Elimination of Occult Metastases in Colon Cancer
<p>This is a recorded talk with head of the BIOMETSCO project - Lasse Sommer Kristensen - where he presents the latest project progress.</p> <p>The talk was given at one of ODIN's (the Open Discovery Innovation Network) Knowledge Sharing Events in May 2022.</p> <p> </p> <p> </p>
Raw data for the article: A commentary on "Simultaneous versus staged resection for synchronous colorectal liver metastases: A population-based cohort study". Importance of avoiding any other additional risk in selected patients with synchronous colorectal liver metastases
<p>We read with great interest the article of Dr. Bogach and Colleagues, in which they have evaluated trends of resection for synchronous colorectal cancer liver metastases (CRLM) and associated patient outcomes with a retrospective cohort study from 2006 to 2015 in the province of Ontario, Canada.</p>
Multiplex imaging of breast cancer lymph node metastases identifies prognostic single-cell populations independent of clinical classifiers
<p>This repository contains the raw IMC data of ZTMA 26 as continuation of dataset <strong>10.5281/zenodo.7494413.</strong> The zip files starting with ZTMA contain the raw IMC measurements (mcd and txt) of those parts of the TMA. The TMA measurements are split up into parts in order to avoid huge files.</p> <p>Additionally, this repository contains the metadata of the patients analyzed in this study, the panel information and the single-cell data that was extracted from the multiplexed images together with the associated metadata in SingleCellExperiment format for analysis in R.</p> <p>The analysis.zip folder contains files that were written out during the analysis according to the scripts in https://github.com/BodenmillerGroup/BC_LN_metastses.</p> <p>The single-cell and other data outputs from CellProfiler can be found in the cpout.zip file.</p> <p>The IF_whole_sections.zip file contains the IF images of the primary breast cancer sections (czi files) and the extracted single-cell data.</p>
Multiplex imaging of breast cancer lymph node metastases identifies prognostic single-cell populations independent of clinical classifiers
<p>This repository contains the raw IMC data of ZTMA 21 and 25 of the matched primary breast cancer and lymph node metastasis study presented in Fischer and Jackson et al., 2023. The code that was used to process and analyze this data can be found at https://github.com/BodenmillerGroup/BC_LN_metastses.</p> <p>The zip files starting with ZTMA contain the raw IMC measurements (mcd and txt) of the respective parts of the TMA. The TMA measurements are split up into parts in order to avoid huge files.</p>
Transcriptomics and proteomics reveal distinct biology for lymph node metastases and tumor deposits in colorectal cancer
<p>Spatial transcriptomic data (counts_DSP_afterQC_normalisation.csv) derived using the Nanostring GeoMx digital spatial profiler platform to analyse tumor deposits and lymph node metastases from 10 patients with colorectal cancer. 264 AOIs of cancer transcriptome atlas data. Normalised using Q3 normalisation, for further information on methods see associated publication. </p>
Individualized Stereotactic Body Radiotherapy of Liver Metastases
ClinicalTrials.gov study NCT01239381. IPD Sharing: Not stated. Countries: 1. Publications: 1.
Single vs Multiple-Fraction Therapy in Treating Patients With Previously Irradiated Painful Bone Metastases
ClinicalTrials.gov study NCT00080912. IPD Sharing: NO. Countries: 1. Publications: 4.
Radiotherapy for Solid Tumor Spine Metastases
ClinicalTrials.gov study NCT01752036. IPD Sharing: Not stated. Countries: 1. Publications: 1.
Stereotactic Radiation Therapy With or Without Whole-Brain Radiation Therapy in Treating Patients With Brain Metastases
ClinicalTrials.gov study NCT00377156. IPD Sharing: Not stated. Countries: 2. Publications: 2.
Ipilimumab and Nivolumab in Leptomeningeal Metastases
ClinicalTrials.gov study NCT02939300. IPD Sharing: NO. Countries: 1. Publications: 1.
Can HER2 Targeted PET/CT Imaging Identify Unsuspected HER2 Positive Breast Cancer Metastases, Which Are Amenable to HER2 Targeted Therapy?
ClinicalTrials.gov study NCT02286843. IPD Sharing: Not stated. Countries: 1. Publications: 2.
Imiquimod for Breast Cancer Patients With Chest Wall Recurrence or Skin Metastases
ClinicalTrials.gov study NCT00899574. IPD Sharing: Not stated. Countries: 1. Publications: 1.
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.