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1,035
datasets available to search
ShareScore release 0.9.0
Dataset results
1,035 results for “cancer invasion”
Analysis of Circulating Biomarkers for Minimally Invasive Early Detection of Breast Cancer
<p>A nested case–control study was conducted on plasma samples of 65 cases and 66 controls (discovery set) and 32 cases and 127 controls (validation set). 10 circulating microRNAs have been analyzed by RT-qPCR and 7 microRNA ratios (as the difference between their threshold cycles) have been included in a model to predict the presence of breast cancer. Together with the women identifier (andromeda_id) and the seven microRNA ratios, menopause staus (menopause), body mass index (bmi_di), the interaction term between menopause and BMI (bmi_men), the life-style score according to the World Cancer Research Fund (score_wcrf), the breast density classification (tabar), the cancer diagnosis (status) and the type of control (class2 - only for the validation cohort where there were two types of controls: mammography negatives (N) and mammography false-positives(N2)) are reported in the first sheet (validation set) and in the third sheet (discovery set). The second sheet contains the time intervals between enrollment with blood sampling and breast cancer diagnosis. This information was used only for the validation set, where these intervals were much higher than in the discovery set.</p> <p>Raw threshold cycles (Ct) are available upon request.</p>
AEG-1 inhibits proliferation and invasion of colorectal cancer HCT116 cells via the PI3K/AKT/mTOR pathway
Open the record for dataset details and reuse information.
AEG-1 inhibits proliferation and invasion of colorectal cancer HCT116 cells via the PI3K/AKT/mTOR pathway
Open the record for dataset details and reuse information.
CircRPPH1 promotes cell proliferation, migration and invasion of non-small cell lung cancer (NSCLC) via the PI3K/AKT and JAK2/STAT3 signaling axes
<p>original numerical data before creating graphs</p>
Robust model training strategy via hard negative mining in the weakly labeled dataset for lymphatic invasion in gastric cancer
<p>Gastric cancer poses a significant public health concern, emphasizing the need for accurate evaluation of lymphatic invasion (LI) for determining prognosis and treatment options. However, this task is time-consuming, labor-intensive, and prone to intra- and inter-observer variability. Furthermore, the scarcity of annotated data presents a challenge, particularly in the field of digital pathology. Therefore, there is a demand for an accurate and objective method to detect LI using a small dataset, benefiting pathologists. In this study, we trained convolutional neural networks (CNNs) to classify LI using a four-step training process: (1) weak model training; (2) identification of false positives; (3) hard negative mining in a weakly labeled dataset; and (4) strong model training. To overcome the lack of annotated datasets, we applied a hard negative mining approach in a weakly labeled dataset, which contained only final diagnostic information, resembling the typical data found in hospital databases, and improved classification performance. Ablation studies were performed to simulate the lack of datasets and severely unbalanced datasets, further confirming the effectiveness of our proposed approach. Notably, our results demonstrated that despite the small number of annotated datasets, efficient training was achievable, with the potential to extend to other image classification approaches used in the field of medicine.</p><p> </p><p><strong>Key words: Artificial intelligence, Computational pathology, Gastric cancer, Lymphatic invasion, Hard negative mining</strong></p>
Cutting-edge IMAGING Technologies to Improve the SAFEty and the Sustainability of LUNG Cancer Screening and the Accuracy of Non-invasive Lung Nodules Characterization
ClinicalTrials.gov study NCT06963515. IPD Sharing: NO. Countries: 0. Publications: 9.
Effect of Vandetanib on Cellular Markers in Invasive Breast Cancer
ClinicalTrials.gov study NCT01934335. IPD Sharing: NO. Countries: 1. Publications: 0.
Efficacy of Fluorescein Visualization of the Uterus in Detecting Endometrial Cancer Invasion
ClinicalTrials.gov study NCT01979003. IPD Sharing: Not stated. Countries: 1. Publications: 0.
A Phase 1/2 Study of HS-410 in Patients With Non-Muscle Invasive Bladder Cancer After TURBT
ClinicalTrials.gov study NCT02010203. IPD Sharing: Not stated. Countries: 1. Publications: 0.
Intravesical Gemcitabine and Docetaxel for BCG naïve Non-muscle Invasive Bladder Cancer
ClinicalTrials.gov study NCT04386746. IPD Sharing: NO. Countries: 1. Publications: 0.
Erlotinib Hydrochloride in Treating Participants With Muscle Invasive or Recurrent Urothelial Cancer
ClinicalTrials.gov study NCT00749892. IPD Sharing: Not stated. Countries: 1. Publications: 0.
Gemcitabine, Cisplatin, Plus Nivolumab in Patients With Muscle-invasive Bladder Cancer With Selective Bladder Sparing
ClinicalTrials.gov study NCT03558087. IPD Sharing: NO. Countries: 1. Publications: 0.
A Study Comparing Standard Treatments in People With Non-Muscle Invasive Bladder Cancer (NMIBC)
ClinicalTrials.gov study NCT06929286. IPD Sharing: YES. Countries: 1. Publications: 0.
FFNP-PET/MR Imaging of Progesterone Receptor Expression in Invasive Breast Cancer
ClinicalTrials.gov study NCT03212170. IPD Sharing: NO. Countries: 1. Publications: 0.
A Non-Interventional Study With Aromasin® As Adjuvant Treatment Of Invasive Early Breast Cancer
ClinicalTrials.gov study NCT01121549. IPD Sharing: Not stated. Countries: 1. Publications: 0.
Non-invasive Methods for Oral Cancer Screening
ClinicalTrials.gov study NCT07249437. IPD Sharing: YES. Countries: 1. Publications: 0.
Guiding Value of Urinary Tumor DNA Testing in Cystoscopy for High-Risk/Very High-Risk Non-Muscle-Invasive Bladder Cancer
ClinicalTrials.gov study NCT07180212. IPD Sharing: NO. Countries: 1. Publications: 0.
A Study of ALT-801 in Combination With Cisplatin and Gemcitabine in Muscle Invasive or Metastatic Urothelial Cancer
ClinicalTrials.gov study NCT01326871. IPD Sharing: Not stated. Countries: 1. Publications: 0.
AGEN1884 Plus AGEN2034 Combined With Cisplatin-Gemcitabine for Muscle-Invasive Bladder Cancer
ClinicalTrials.gov study NCT04430036. IPD Sharing: NO. Countries: 1. Publications: 0.
A Study of Oral Erdafitinib in People With Recurrent Non-Invasive Bladder Cancer
ClinicalTrials.gov study NCT04917809. IPD Sharing: YES. Countries: 1. Publications: 0.
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.