The invention discloses a prediction method of a
protein biomarker based on SKCM prognosis and
immunotherapy response. The prediction method comprises the following steps: S1, performing
gene expression profile interaction analysis: S1, comparing expression levels of METTLs in SKCM and
normal skin tissue by using
online database gene expression profile interaction analysis; s2, analyzing prognosis by adopting a Kaplan-Meier curve; the invention relates to the technical field of biological detection. According to the prediction method of the
protein biomarker based on SKCM prognosis and
immunotherapy response, METTL9 expression up-regulation in SKCM tissue prompts
poor prognosis, is closely related to tumor development and
patient survival, and is expected to become a new therapeutic target; meanwhile, after
immunotherapy, a patient with high expression of METTL9 has
poor prognosis and poor reactivity to immunotherapy, so that a new method is provided for selecting a
prognosis biomarker to predict the reactivity of SKCM to immunotherapy, and the survival condition of the SKCM patient can be predicted more accurately.