Comprehensive genomic characterization of programmed cell death-related genes to predict drug resistance and prognosis for patients with multiple myeloma

Yan Li; Fuxu Wang; Hongbo Zhao; Zhenwei Jia; Xiaoyan Liu; Guirong Cui; Tiejun Qin; Xiaoyang Kong

doi:doi:10.18632/aging.206234

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Research Paper Advance Articles

Comprehensive genomic characterization of programmed cell death-related genes to predict drug resistance and prognosis for patients with multiple myeloma

Figure 2. Immunotherapy analysis. (A) Heatmap of expression of immune checkpoint genes between different molecular subtypes. (B) Differential expression of common immune checkpoint genes TIGIT, CTLA4, CD274 and BTLA between different molecular subtypes. (C) Results predicted by TIDE software. ***p < 0.001, ****p < 0.0001.