ArticleiMetaOmics2025
TBCancer: A database for exploring characteristics and functions of tissue-biased genes in cancer.
Article in iMetaOmics, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.
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
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
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Authors and funding
8 authors.
Funding
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Abstract
This study defined 10,921 tissue-biased genes across 54 normal tissues and 41 cancer types. Tumor-associated tissue-biased genes exhibit downregulation, mutations, and epigenetic modifications, correlating with poor clinical outcomes. Their inactivation promotes tumorigenesis by enhancing stemness and immune evasion, highlighting their value as prognostic biomarkers and therapeutic targets. To facilitate research, we developed a database integrating multi-omics data on these genes for mechanistic and therapeutic exploration.
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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.