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Dataset results
14 results for “molecular oncology”
Replication Data for: Precision Oncology, Cell Signaling and Targeted Therapy: A Holistic Approach to Molecular Cancer Therapeutics
<p>In recent decades, there has been a deluge in the large-scale production of anticancer agents, primarily due to advances in genomic technologies enabling precise targeting of oncogenic pathways involved in disease progression. This initiated a paradigm shift in cancer research and therapeutics based on the ability to study molecular changes throughout the genome. It provided a unique opportunity in the field of translational cancer research and have led to the concept of precision medicine in cancer therapy, raising hopes of developing better diagnostic and therapeutic means for the management of cancer. The purpose of this article is to briefly review the tools and techniques involved in precision oncology research and their applications in the field of cancer treatment. </p>
Molecular Oncology Almanac GK-Pilot Dataset
<p>An export of the <a href="https://moalmanac.org/">Molecular Oncology Almanac (MOA) knowledgebase</a> represented under the <a href="http://gk-pilot.readthedocs.io">pilot GA4GH Genomic Knowledge framework</a> championed by the VICC and ClinGen Driver Projects.</p> <p>Data files include:</p> <ul> <li>moa_gk_pilot_statements.ndjson: MOA evidence represented as genomic knowledge statements</li> <li>moa_gk_pilot_variation_descriptors.ndjson: MOA variation records represented as VRSATILE variation descriptors</li> <li>moa_gk_pilot_methods.ndjson: MOA curation methodology represented as a Method object</li> </ul>
Description of Individual Radiosensitivity With Molecular Biomarkers in a Pediatric Oncology Population
ClinicalTrials.gov study NCT02827552. IPD Sharing: NO. Countries: 1. Publications: 1.
Data from: A virtual molecular tumor board platform to improve efficiency and scalability of delivering precision oncology to physicians and their patients
OBJECTIVES: Scalable informatics solutions that provide molecularly-tailored treatment recommendations to clinicians are needed to streamline Precision Oncology in care settings. MATERIALS AND METHODS: We developed a cloud-based virtual molecular tumor board (VMTB) platform that included a knowledgebase, scoring model, rules engine, an asynchronous virtual chat room and a reporting tool that generated a treatment plan for each of the 1725 patients based on their molecular profile, previous treatment history, structured trial eligibility criteria, clinically relevant cancer gene-variant assertions, biomarker-treatment associations, and current treatment guidelines. The VMTB systematically allows clinician users to combine expert-curated data and structured data from clinical charts along with molecular testing data to develop consensus on treatments, especially those that require off-label and clinical trial considerations. RESULTS: The VMTB was used as part of the cancer care process for a focused subset of 1725 patients referred by advocacy organizations wherein resultant personalized reports were successfully delivered to treating oncologists. Median turnaround time from data receipt to report delivery decreased from 14 days to 4 days over 4 years while the volume of cases increased nearly twofold each year. Using a novel scoring model for ranking therapy options, oncologists chose to implement the VMTB-derived therapies over others, except when pursuing immunotherapy options without molecular support. DISCUSSION: VMTBs will play an increasingly critical role in precision oncology as the compendium of biomarkers and associated therapy options available to a patient continues to expand. CONCLUSION: Further development of such clinical augmentation tools that systematically combine patient-derived molecular data, real world evidence from electronic health records, and expert curated knowledgebases on biomarkers with computational tools for ranking best treatments can support care pathways at point of care.
Molecular Imaging and Spectroscopy With Stable Isotopes in Oncology and Neurology
ClinicalTrials.gov study NCT03526809. IPD Sharing: UNDECIDED. Countries: 1. Publications: 0.
Data from: A virtual molecular tumor board platform to improve efficiency and scalability of delivering precision oncology to physicians and their patients
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Molecular and functional landscape of malignant serous effusions for precision oncology [MSE_baseline]
GEO Series GSE240952. Homo sapiens. 6 samples. Type: Expression profiling by high throughput sequencing.
Molecular and functional landscape of malignant serous effusions for precision oncology [MSE_drug_treated]
GEO Series GSE240951. Homo sapiens. 11 samples. Type: Expression profiling by high throughput sequencing.
Molecular and functional landscape of malignant serous effusions for precision oncology
GEO Series GSE240953. Homo sapiens. 17 samples. Type: Expression profiling by high throughput sequencing.
The Radiation Oncology-Biology Integration Network (ROBIN) Molecular Characterization Trial (MCT) of Standard Short Course Radiotherapy for Rectal Cancer
ClinicalTrials.gov study NCT05943210. IPD Sharing: NO. Countries: 1. Publications: 0.
Hodgkin Lymphoma Molecular Profiling and Clinical Outcomes in U.S. Community Oncology Practices
ClinicalTrials.gov study NCT02856646. IPD Sharing: Not stated. Countries: 1. Publications: 0.
Improving Risk Assessment for Metastatic Disease in Endometrioid Endometrial Cancer Patients Using Molecular and Clinical Features: an NRG Oncology / Gynecologic Oncology Group Study
GEO Series GSE120490. Homo sapiens. 145 samples. Type: Expression profiling by array.
Integrative Molecular Analysis of Individual Radiosensitivity in Pediatric Oncology
ClinicalTrials.gov study NCT06033183. IPD Sharing: Not stated. Countries: 1. Publications: 0.
AVA-ADR-001- a small molecular inhibitor of ADAR1 (Immuno-oncology target)
GEO Series GSE229503. Homo sapiens. 12 samples. Type: Expression profiling by high throughput sequencing.
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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.