ArticleDiscover oncology2024
Nuclear receptor profiling for subtype classification and as prognostic markers in 33 cancer types.
Article in Discover oncology, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.
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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.
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5 authors.
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Abstract
Nuclear receptors, a group of 48 transcription factors that regulate a multitude of processes within our body, have long been employed as diagnostic markers or therapeutic targets in breast cancer, prostate cancer, and acute promyelocytic leukemia. Unfortunately, no comprehensive investigation has been conducted on their significance in other cancer types. The current study aimed to explore novel diagnostic markers by classifying nuclear receptors according to their expression patterns based on transcriptome data from The Cancer Genome Atlas on 10,071 tumor samples across 33 cancer types and investigating their association with genetic mutations, histological types, and prognosis. Our analysis showed that 21 cancers, including breast cancer, can be classified into distinct clusters based on their nuclear receptor expression profiles. Moreover, significant differences in overall survival were observed in 9 of the 21 cancer types. Overall, the results of this study indicate that previously overlooked nuclear receptors, such as NR0B1 in lung adenocarcinoma, may prove beneficial in the diagnosis of several cancers.
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