Jiaheng Xie1, Haobo Li2, Liang Chen3, Yuan Cao4, Yiming Hu5, Zhechen Zhu1, Ming Wang1, Jingping Shi1. 1. Department of Burn and Plastic Surgery, The First Affiliated Hospital of Nanjing Medical University, Nanjing, Jiangsu, People's Republic of China. 2. Department of Pulmonary and Critical Care Medicine, China-Japan Friendship Hospital; Graduate School of Peking Union Medical College, Chinese Academy of Medical Sciences, Beijing, People's Republic of China. 3. Department of General Surgery, Fuyang Hospital Affiliated to Anhui Medical University, Fuyang, Anhui, People's Republic of China. 4. Fourth School of Clinical Medicine, Nanjing Medical University, Nanjing, Jiangsu, People's Republic of China. 5. College of Pharmacy, Jiangsu Ocean University, Lianyungang, Jiangsu, People's Republic of China.
Abstract
PURPOSE: To construct a prognosis model of melanoma based on pyroptosis related genes. METHODS: Melanoma RNA-sequencing data was downloaded from TCGA. First, the lnRNAs related to pyroptosis were obtained through Pearson correlation analysis. Then, the prognosis model of pyroptosis related genes was constructed by Cox regression and Lasso regression. Melanoma patients were divided into high-risk and low-risk groups by risk score, and the differences in prognosis and immune microenvironment between the two groups were explored. RESULTS: We found that the high-risk group had a significantly poorer prognosis, and different groups differed in immune infiltration, m6A methylation, and immune checkpoint. CONCLUSION: Our prognostic model can provide a reference for the study of pyroptosis in melanoma cells and provide a new idea for melanoma treatment.
PURPOSE: To construct a prognosis model of melanoma based on pyroptosis related genes. METHODS: Melanoma RNA-sequencing data was downloaded from TCGA. First, the lnRNAs related to pyroptosis were obtained through Pearson correlation analysis. Then, the prognosis model of pyroptosis related genes was constructed by Cox regression and Lasso regression. Melanoma patients were divided into high-risk and low-risk groups by risk score, and the differences in prognosis and immune microenvironment between the two groups were explored. RESULTS: We found that the high-risk group had a significantly poorer prognosis, and different groups differed in immune infiltration, m6A methylation, and immune checkpoint. CONCLUSION: Our prognostic model can provide a reference for the study of pyroptosis in melanoma cells and provide a new idea for melanoma treatment.
Authors: Dan A Erkes; Weijia Cai; Ileine M Sanchez; Timothy J Purwin; Corey Rogers; Conroy O Field; Adam C Berger; Edward J Hartsough; Ulrich Rodeck; Emad S Alnemri; Andrew E Aplin Journal: Cancer Discov Date: 2019-12-03 Impact factor: 38.272