Identification of a novel FOXO3‑associated prognostic model in hepatocellular carcinoma

Oncology Letters, Год журнала: 2025, Номер 29(5), С. 1 - 12

Опубликована: Март 13, 2025

Although numerous molecular classifications are available to predict the prognosis of patients with hepatocellular carcinoma (HCC), they still unsatisfactory. Forkhead box O3 (FOXO3) has been widely reported as a transcription factor involved in human cancers, but its role HCC remains controversial. The present study aimed explore FOXO3 HCC, well identify biomarkers and construct prognostic models based on FOXO3. was highly expressed closely associated poor Cancer Genome Atlas (the training set) International Consortium validation set). Subsequently, co-expression network indicated that red modules were related Five key FOXO3-related genes [DEAD-box helicase 55 (DDX55), RAB10, member RAS oncogene family (RAB10), RAB7A, TATA-box binding protein factor, RNA polymerase I subunit B (TAF1B) TAF3] obtained using Cox-least absolute shrinkage selection operator analyses. 5-gene signature successfully predicted both sets. Enrichment analysis suggested marked differences AKT cell cycle-related (E2F targets G2/M checkpoints) pathways between subgroups. Furthermore, tumor microenvironment difference distribution M2 macrophages among various subgroups may contribute CIBERSORTx framework. mRNA expressions DDX55, TAF1B TAF3 found be higher tissues compared paracancerous RT-qPCR western blotting. Additionally, knockdown RAB7A inhibited proliferation Huh7 cells, assessed by Cell Counting Kit-8 assay. In conclusion, novel model constructed revealed potential or for HCC.

Язык: Английский

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Integrating single-cell RNA sequencing, WGCNA, and machine learning to identify key biomarkers in hepatocellular carcinoma

Scientific Reports, Год журнала: 2025, Номер 15(1)

Опубликована: Апрель 1, 2025

Язык: Английский

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A novel biomarker GATM suppresses proliferation and malignancy of cholangiocarcinoma cells by modulating the JNK/c-Jun signalling pathways

Heliyon, Год журнала: 2024, Номер 10(17), С. e37344 - e37344

Опубликована: Сен. 1, 2024

Язык: Английский

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Integrated explainable machine learning and multi-omics analysis for survival prediction in cancer with immunotherapy response

APOPTOSIS, Год журнала: 2024, Номер unknown

Опубликована: Дек. 4, 2024

Язык: Английский

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Therapeutic Potential of lncRNAs in Regulating Disulfidptosis for Cancer Treatment

Pathology - Research and Practice, Год журнала: 2024, Номер 263, С. 155657 - 155657

Опубликована: Окт. 16, 2024

Язык: Английский

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