Cancer Genetics and Epigenetics 2024, Vol.12, No.3, 125-136 http://medscipublisher.com/index.php/cge 130 Figure 3 Comparison between LIMORE and primary liver cancers (Adopted from Qiu et al., 2019) Image caption: (A) Numbers of cell models in LIMORE and other panels, (B) Population and virus status of patients whose tumors were used to generate LIMORE models. NBNC, non-HBV and non-HCV, (C) Representative hematoxylin and eosin stainings of subcutaneous tumors from LIMORE models and matched original cancers. Scale bars, 100 μm, (D) CNA frequencies in LIMORE and TCGA HCCs. Spearman correlation of CNA frequencies is shown. Chr, chromosome, (E) Circos plot shows HBV integration breakpoints in LIMORE and primary liver cancers (left) and box plot shows the number of HBV integrations in each LIMORE model and patient sample (right). For box-and-whisker plot, the box indicates interquartile range (IQR), the line in the box indicates the median, the whiskers indicate points within Q3 + 1.5 × IQR and Q1 – 1.5 × IQR, and the points beyond whiskers indicate outliers. Q1 and Q3 denote the first and third quartiles, respectively, (F) Comparison of gene expressions between LIMORE and TCGA HCCs. Principal component analysis using top 3,000 variable genes (left) and bar plot showing the percentage of TCGA HCCs highly correlated with at least one LIMORE model (right) (Adapted from Qiu et al., 2019) Qiu et al. (2019) found that the LIMORE panel provides a comprehensive representation of liver cancer heterogeneity and its comparison with primary liver cancers. The study highlights the significant overlap between the LIMORE models and other established panels, indicating robust model coverage. Analysis of patient
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