Extended Data Fig. 8: SNHG6 promotes proliferation in hepatoma.

(A) In vivo generated tumors are shown. (B) IHC analyses of tumors were performed with the Ki67 and CD31 antibodies. Scale bar, 100 μm. (C,D) qRT-PCR analysis of SNHG6 expression in PDX tumors. Data are mean values ± S.D. n = 5 mice / group. Two-way ANOVA. (E) IHC analyses of PDX tumors were performed with the Ki67 and CyclinD1 antibodies. Scale bar, 100 μm. (F) IB detection of tumors was performed with indicated antibodies (n = 5 mice / group). (G) The amount of SNHG6 was associated with expression of Ki67 or CCNB1 in the dataset (TCGA-LIHC). Data are presented as individual data and mean, statistics by Kruskal-Wallis test. Bounds of box show the 25th and 75th percentiles, and the horizontal lines inside the box represent the median. The whiskers show 2.5th to 97.5th percentiles. (H) the expressional correlation between SQLE and SNHG6 in the dataset. The r values and P values from Spearman’s correlation analysis. (I-K) The expression of FAF2 in carcinoma and adjacent tissues in several datasets. The horizontal line inside the box is the median; the top is the upper quartile; the bottom is the lower quartile; the upper whiskers extend from the upper quartile to the highest actual value; the lower whiskers extend from the lower quartile The number is extended to the lowest actual value. Two-sided Student’s t test. (L) qRT-PCR detection of FAF2 expression in carcinoma and adjacent tissue. Data are presented as mean values ± S.D. SYSUCC, n = 48 biologically independent samples. Data are presented as mean values ± S.D. Two-sided Wilcoxon test. (M) Overall Survival was compared between samples with low and high amount of FAF2 in the liver cancer dataset (TCGA-LIHC). Kaplan-Meier analysis. (N) Overall survival analysis of FAF2 status in hepatic carcinoma detected by qRT-PCR (SYSUCC, n = 80 biologically independent samples; Kaplan-Meier analysis). (O) Correlation between FAF2 levels and MKi67 in the datasets (TCGA-LIHC). The r values and P values from Spearman’s correlation analysis.