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DOI 10.1093/jb/mvaf004

Медицинская библиотека · Journal of biochemistry · 2025

High GRWD1 expression may predict clinically aggressive lower grade glioma, skin cutaneous melanoma, and kidney renal clear cell carcinoma carrying wild-type p53: a systematic study based on TCGA data analysis.

Kayama Kota, Ooga Akihiro, Hasetsu Kouji, Kokubo Ryoma, Sugimoto Nozomi, Fujita Masatoshi

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Аннотация

Glutamate-rich WD40 repeat-containing 1 (GRWD1) is a novel oncogene/oncoprotein that downregulates the p53 tumour suppressor protein through several mechanisms. One important mechanism involves binding of GRWD1 to RPL11, which competitively inhibits the RPL11-MDM2 interaction and releases RPL11-mediated suppression of MDM2 ubiquitin ligase activity towards p53. Here, we mined the TCGA (The Cancer Genome Atlas) database to gain in-depth insight into the clinical relevance of GRWD1. We found that high expression of GRWD1 is associated with a poor prognosis for lower grade glioma (LGG) of the brain, skin cutaneous melanoma (SKCM), and kidney renal clear cell carcinoma (KIRC) carrying wild-type p53. Further investigations revealed that copy number alterations in the GRWD1 gene are one determinant of GRWD1 expression level. By contrast, even in patients with a diploid GRWD1 gene, high GRWD1 expression was associated with a poor prognosis for LGG, SKCM, and KIRC carrying wild-type p53. Additional studies suggest that some transcriptional factors may be involved in regulation of GRWD1 in cancers with a diploid GRWD1 gene. Taken together, the data presented herein suggest that high expression of GRWD1 may contribute to malignant behaviour, and predict a clinically unfavourable prognosis for LGG, SKCM, and KIRC carrying wild-type p53.

Для цитирования: Kayama Kota, Ooga Akihiro, Hasetsu Kouji, Kokubo Ryoma, Sugimoto Nozomi, Fujita Masatoshi. High GRWD1 expression may predict clinically aggressive lower grade glioma, skin cutaneous melanoma, and kidney renal clear cell carcinoma carrying wild-type p53: a systematic study based on TCGA data analysis.. Journal of biochemistry. 2025. DOI: 10.1093/jb/mvaf004.

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