Expression of Concern
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This article is currently under investigation. We strongly recommend that this article is not cited until the investigation is completed.
Research Paper Volume 12, Issue 13 pp 13502—13517
Weighted correlation gene network analysis reveals a new stemness index-related survival model for prognostic prediction in hepatocellular carcinoma
Figure 6. Expression of mRNAsi-related key genes in HCC and normal liver tissues. (A–E) The expression of ANGPT2 (A), EMCN (B), GLDN (C), USHBP1 (D) and ZNF532 (E) genes in 374 HCC and 50 non-cancer tissues from the TCGA database. (F–J) The expression of ANGPT2 (F), EMCN (G), GLDN (H), USHBP1 (I) and ZNF532 (J) genes in 243 HCC and 202 normal liver tissues from the ICGC database. (K–M) The expression of ANGPT2 (K), GLDN (L) and ZNF532 (M) genes in 268 HCC and 243 normal liver tissue samples from the GSE25097 dataset. (N–P) The expression of ANGPT2 (N), EMCN (O) and ZNF532 (P) genes in 225 HCC and 220 normal liver tissue samples from the GSE14520 dataset. The X axis is sample type (Normal or Tumor) and the Y axis is gene expression.