Open medicine (Warsaw, Poland) · 2026
Systematic pan-cancer analysis identifies PIK3R3 as a lipid metabolism and immune regulation prognostic biomarker.
СтатьяНазвание и аннотация: Перевод в очереди
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Ding Zhixun, Li Duandan
Аннотация
OBJECTIVES: We aimed to explore the critical role of PIK3R3 in pan-cancer, which to facilitate the development of more targeted prognostic markers and therapeutic strategies for these malignancies.
METHODS: In our study, pan-cancer transcriptome datasets were retrieved from Xena database. Subsequently, utilizing the Wilcoxon test, univariate Cox regression analysis as well as Kaplan-Meier (K-M) survival analysis to identify cancer types with high relevance to PIK3R3. Clinical metadata were stratified for correlation analysis, followed by differential expression gene (DEG) identification, overrepresentation analysis, and various functional analysis methods.
RESULTS: Lower-grade glioma (LGG), kidney renal clear cell carcinoma (KIRC), liver hepatocellular carcinoma (LIHC), lung adenocarcinoma (LUAD), and uterine corpus endometrial carcinoma (UCEC) exhibited strong associations with PIK3R3. PIK3R3 was closely linked to tumor grade stratification in LGG and UCEC and likely regulated these cancers via pathways such as lipid metabolism. Notably, UCEC showed high-level PIK3R3 mutations, mainly involving mutation and amplification. Compounds including Tetrachlorodibenzodioxin (TCDD), 1-Methyl-4-phenylpyridinium (MPP+), Estradiol, and Valproic Acid were predicted to target PIK3R3.
CONCLUSIONS: Our results provide novel insights into the molecular mechanisms underlying PIK3R3-associated tumorigenesis and progression, which may contribute to the development of more targeted prognosis markers and therapeutic strategies for these malignancies.
METHODS: In our study, pan-cancer transcriptome datasets were retrieved from Xena database. Subsequently, utilizing the Wilcoxon test, univariate Cox regression analysis as well as Kaplan-Meier (K-M) survival analysis to identify cancer types with high relevance to PIK3R3. Clinical metadata were stratified for correlation analysis, followed by differential expression gene (DEG) identification, overrepresentation analysis, and various functional analysis methods.
RESULTS: Lower-grade glioma (LGG), kidney renal clear cell carcinoma (KIRC), liver hepatocellular carcinoma (LIHC), lung adenocarcinoma (LUAD), and uterine corpus endometrial carcinoma (UCEC) exhibited strong associations with PIK3R3. PIK3R3 was closely linked to tumor grade stratification in LGG and UCEC and likely regulated these cancers via pathways such as lipid metabolism. Notably, UCEC showed high-level PIK3R3 mutations, mainly involving mutation and amplification. Compounds including Tetrachlorodibenzodioxin (TCDD), 1-Methyl-4-phenylpyridinium (MPP+), Estradiol, and Valproic Acid were predicted to target PIK3R3.
CONCLUSIONS: Our results provide novel insights into the molecular mechanisms underlying PIK3R3-associated tumorigenesis and progression, which may contribute to the development of more targeted prognosis markers and therapeutic strategies for these malignancies.