Analysis Of Prognostic Factors For Cutaneous Malignant Melanoma

Objective: To provide a basis for the clinical treatment and prognosis prediction by analyzing the prognostic factors and comprehensive analysis of independent prognostic risk prognosis through collecting the clinical data and follow-up data of 153 cases of cutaneous maligant melanoma treated in Third Medical College of Xinjiang Medical University.Methods: The study retrospectively analyzed the clinical data and follow-up data of 153 patients in Third Medical College of Xinjiang Medical University from January 2009 to December 2015.The analysis index which affected the prognosis of patients with cutaneous maligant melanoma included patients’ gender,age,tumor ulcer,tumor site,tumor thickness,tumor staging,BRAF V600 E mutation,lactate dehydrogenase(LDH),neutrophil and lymphocyte ratio(NLR),radiotherapy,interferon therapy.The effects of these indicators on prognosis were observed and statistically analyzed,and a prognostic model was constructed based on multivariate analysis.Results: At the last of the following-up,98 patients died in this group,and a total mortality rate was64.1%.Univariate analysis showed that tumor ulceration,tumor site,tumor thickness,tumor stage,LDH,BRAF V600 E mutation and NLR were the factors affecting the prognosis of patients with cutaneous malignant melanoma,which had significant difference in survival between the groups(P <0.05).Multivariate analysis showed that tumor ulceration,tumor thickness,tumor stage,NLR were the independent risk factors which affecting the survival of patients with cutaneous malignant melanoma.The prognosis of the patients was analyzed comprehensively based on independent prognostic risk factors,and there was a significant difference in the difference of survival between the various risk groups(P <0.05).Conclusion:Tumor ulceration,tumor thickness,tumor staging,NLR were important factors affecting the prognosis of patients with cutaneous malignant melanoma.The patients’ prognosis can be judged simply and comprehensively by comprehensively analyzing the patient’s independent prognostic risk factors.