European review for medical and pharmacological sciences · 2023
mRNA and long-noncoding RNA signatures for improving the prognosis prediction of cutaneous skin melanoma efficiently.
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Zi S-X, Xing Y-M, Wang C-Z
Аннотация
OBJECTIVE: Non-coding RNAs occupy a significant fraction of the human genome, and their biological significance during the pathological process is proved. More and more lncRNAs are reported in cancer research.
MATERIALS AND METHODS: To investigate the non-coding RNA's biological relevance with cutaneous skin melanoma, we first compared the survival analysis by combining the most differentially expressed mRNA and non-coding RNA expression values.
RESULTS: The result showed that the abundantly expressed mRNAs and lncRNAs have significant effects on the survival of patients. Compared to the mRNAs, these lncRNAs have more impact on the progress of cutaneous skin melanoma. Thus, we combined the two types of RNA factors having significant effects as risk factors to construct the diagnosis model, and the survival analysis confirmed the robustness of the diagnosis model.
CONCLUSIONS: In summary, a list of eight lncRNA and five mRNA expression signatures can be used to improve the prognosis prediction of cutaneous skin melanoma, as well as help us to understand the pathogenic mechanism and provide a hint for targeting therapy.
MATERIALS AND METHODS: To investigate the non-coding RNA's biological relevance with cutaneous skin melanoma, we first compared the survival analysis by combining the most differentially expressed mRNA and non-coding RNA expression values.
RESULTS: The result showed that the abundantly expressed mRNAs and lncRNAs have significant effects on the survival of patients. Compared to the mRNAs, these lncRNAs have more impact on the progress of cutaneous skin melanoma. Thus, we combined the two types of RNA factors having significant effects as risk factors to construct the diagnosis model, and the survival analysis confirmed the robustness of the diagnosis model.
CONCLUSIONS: In summary, a list of eight lncRNA and five mRNA expression signatures can be used to improve the prognosis prediction of cutaneous skin melanoma, as well as help us to understand the pathogenic mechanism and provide a hint for targeting therapy.