Expression pattern, tumor immune landscape, and prognostic value of N7‑methylguanosine regulators in bladder urothelial carcinoma DOI Open Access
Chi Zhang, Jiangnan Xia,

Simiao Zhang

и другие.

Oncology Letters, Год журнала: 2023, Номер 25(4)

Опубликована: Март 10, 2023

N7‑Methylguanosine (m7G) modification is important in post‑transcriptional regulation. dysregulation of m7G RNA has been reported to be markedly associated with cancer. However, its importance bladder urothelial carcinoma (BLCA) remains poorly characterized. The present study systematically analyzed mRNA gene expression data and clinical information from Cancer Genome Atlas further constructed robust risk signatures for the four regulators (nudix hydrolase 11, gem nuclear organelle‑associated protein 5, eukaryotic translation initiation factor 3 subunit D cytoplasmic FMR1 interacting 1). differential cell function m7G‑related genes cancer cells were verified by reverse transcription‑quantitative PCR, Cell Counting Kit‑8 colony formation assays. four‑gene‑based model could accurately predict prognosis BLCA. Nomogram‑based decisions had a higher net benefit compared that individual predictors. Through immune infiltration analysis, it was found affected patients Finally, identified potential therapeutics differ between high low‑risk groups based on genes. In summary, current findings revealed an essential role BLCA, developed as promising prognostic markers

Язык: Английский

Expression pattern, tumor immune landscape, and prognostic value of N7‑methylguanosine regulators in bladder urothelial carcinoma DOI Open Access
Chi Zhang, Jiangnan Xia,

Simiao Zhang

и другие.

Oncology Letters, Год журнала: 2023, Номер 25(4)

Опубликована: Март 10, 2023

N7‑Methylguanosine (m7G) modification is important in post‑transcriptional regulation. dysregulation of m7G RNA has been reported to be markedly associated with cancer. However, its importance bladder urothelial carcinoma (BLCA) remains poorly characterized. The present study systematically analyzed mRNA gene expression data and clinical information from Cancer Genome Atlas further constructed robust risk signatures for the four regulators (nudix hydrolase 11, gem nuclear organelle‑associated protein 5, eukaryotic translation initiation factor 3 subunit D cytoplasmic FMR1 interacting 1). differential cell function m7G‑related genes cancer cells were verified by reverse transcription‑quantitative PCR, Cell Counting Kit‑8 colony formation assays. four‑gene‑based model could accurately predict prognosis BLCA. Nomogram‑based decisions had a higher net benefit compared that individual predictors. Through immune infiltration analysis, it was found affected patients Finally, identified potential therapeutics differ between high low‑risk groups based on genes. In summary, current findings revealed an essential role BLCA, developed as promising prognostic markers

Язык: Английский

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