Additional file 12 of Mapping in silico genetic networks of the KMT2D tumour suppressor gene to uncover novel functional associations and cancer cell vulnerabilities
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Additional file 12: Table S10. Profiles of KMT2D mutations and immune markers in POG and MSK-IMPACT cases. A. POG solid cancer clinical data and immune marker profiles. OS: overall survival. censor_status: 1-living, 2-deceased. Fpkm: fragments per kilobase of transcript per million mapped reads. B_cells_naive to absolute_score_sig_score columns are immune cell composition score outputs from Cibersort. PredictIO_score: immune checkpoint response score (see Methods section). B. MSK-IMPACT cohort overall survival and TMB obtained from Samstein et al. (13), and MSI and KMT2D status (see Methods section).
附加文件12:表S10。POG与MSK-IMPACT队列中组蛋白赖氨酸甲基转移酶2D(KMT2D)突变及免疫标志物特征。A. POG实体瘤临床数据及免疫标志物特征:总生存期(overall survival, OS);删失状态:1为存活,2为死亡;FPKM(每百万映射读数的每千碱基转录本片段数,Fragments Per Kilobase of transcript per Million mapped reads):从初始B细胞(B_cells_naive)至特征绝对评分(absolute_score_sig_score)的列均为Cibersort输出的免疫细胞组成评分;PredictIO评分:免疫检查点应答评分(详见方法部分)。B. MSK-IMPACT队列的总生存期、取自Samstein等(13)的肿瘤突变负荷(Tumor Mutational Burden, TMB),以及微卫星不稳定性(Microsatellite Instability, MSI)与KMT2D状态(详见方法部分)
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figshare
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2024-11-23



