ArticleGenome medicine2021
A global cancer data integrator reveals principles of synthetic lethality, sex disparity and immunotherapy.
Article in Genome medicine, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.
What it found
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
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Who cites it
4 citing papers in PubMed.
- A multiomics approach reveals RNA dynamics promote cellular sensitivity to DNA hypomethylation.Scientific reports · 2024Article
- A new era in functional genomics screens.Nature reviews. Genetics · 2022Review
- A global cancer data integrator reveals principles of synthetic lethality, sex disparity and immunotherapy.Genome medicine · 2021Article
- An integrated functional and clinical genomics approach reveals genes driving aggressive metastatic prostate cancer.Nature communications · 2021Article
Corrections and comments
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Authors and funding
5 authors.
Funding
Abstract
backgroundAdvances in cancer biology are increasingly dependent on integration of heterogeneous datasets. Large-scale efforts have systematically mapped many aspects of cancer cell biology; however, it remains challenging for individual scientists to effectively integrate and understand this data.
resultsWe have developed a new data retrieval and indexing framework that allows us to integrate publicly available data from different sources and to combine publicly available data with new or bespoke datasets. Our approach, which we have named the cancer data integrator (CanDI), is straightforward to implement, is well documented, and is continuously updated which should enable individual users to take full advantage of efforts to map cancer cell biology. We show that CanDI empowered testable hypotheses of new synthetic lethal gene pairs, genes associated with sex disparity, and immunotherapy targets in cancer.
conclusionsCanDI provides a flexible approach for large-scale data integration in cancer research enabling rapid generation of hypotheses. The CanDI data integrator is available at https://github.com/GilbertLabUCSF/CanDI .
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.