Fig. 3

CRC Subtypes and mutation rate in PDOX-LM models and Corresponding Biopsy liver metastases Specimens. a Lego plots of sequencing data across donor liver metastases (LM) and xenografted liver metastases (PDOX-LM) samples indicates the potential structural changes of transitions. Lego plot of sequencing data derived from CRC samples shows preponderance of CpG transitions, C > T and A > G, accompanied by sporadic transversions, such as C > G, C > A are observed in either selected top variants or the variants identified by the sequencing. b, c Venn diagram showing the concordance of driver mutations found in colorectal liver metastases biopsy and PDOX-LM model in Patient #1 (B) and #2 (C). Somatic variants within the coding regions in xenografted liver metastases showed 0.96 and 0.90 frequency of concordance in the corresponding donor liver metastases in Patient #1 and #2, respectively. d Heatmap of 356 exonic SNV in donor or xenografted liver metastases sample matched with TCGA-COAD on dbSNP Ids. 158 recurrence star mutations from the publication by van de Wetering et al., 2015, Cell 161, 933–945, May 7, 2015 were matched against CRC data set, 36 matched variants were found. The clustering heatmap was generated for these 36 star mutations on 4 donor or xenografted liver metastases samples. The differential patterns are not obvious. 2361 variants from TCGA-COAD tumor data set (no normal data presented) with averaged alternate allele frequency above 0.4 were selected to generate the clustering heatmap with 4 donor or xenografted liver metastases samples. Again, the differential patterns are not obvious. The heatmap was based on 356 exonic SNV (Synonymous and Non-synonymous) in TCGA samples