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. Author manuscript; available in PMC: 2018 Aug 17.
Published in final edited form as: Nature. 2018 Jan 24;554(7690):62–68. doi: 10.1038/nature25459

Figure 5. Integrative analyses of PDAC genomics, transcriptomics, cellular phenotypes and histopathologies link molecular, morphologic and clinical disease characteristics.

Figure 5

a, Unbiased hierarchical clustering of primary mPDAC culture transcriptomes (PK mice). Cell morphology, histopathological grading, KrasG12D mRNA expression, genetic KrasG12D status and presence/absence of metastasis integrated below. b, Selected gene sets from gene-set enrichment analysis of clusters C2 vs. C1. (full list in Supplementary Table 13,14). c, mPDAC cultures with mesenchymal/epithelial morphology from clusters C1/C2, respectively. 100x magnification; squares, zoom-in area. d, KrasG12D-allele-specific mRNA levels in mPDAC transcriptional clusters, combined amplicon-based RNA-Seq and qRT-PCR (C2a/b/c/C1, n=5/7/6/15 mice). P=1.9*10-6, two-sided Pearson correlation; bars, median. e, CRISPR/Cas9-mediated multiplexed somatic inactivation of PDAC-relevant tumor suppressors by electroporation-based transfection to achieve low-frequency mosaicism and clonal tumor outgrowth. Differential trypsinization separates epithelial/mesenchymal cells in mPDACs with mixed morphologies (100x magnification; squares, zoom-in area). CRISPR/Cas9-induced indel signatures are identical in epithelial/mesenchymal pairs (Extended data Fig. 8), indicating common cell of origin. Total Kras mRNA levels in epithelial/mesenchymal pairs (qRT-PCR, normalized to Gapdh, n=2 technical replicates). Bars, mean; error bars, SEM. f, mPDAC histophathological grading in transcriptional clusters (C2a/b/c/C1, n=4/7/6/15, single section per mPDAC). Representative sections (H&E) shown. *Benjamini-Hochberg-adj. P≤0.05, **P=0.005; two-sided Fisher’s exact test; scale bars, 150µm. g, Simplified model of PDAC evolution reconciling molecular, morphologic and clinical disease characteristics. KRASG12D-iGD gain or alternative oncogenic amplifications (Myc/Yap1/Nfkb2) are critical for early disease progression. Different oncogenic gains and dosages evolve along distinct evolutionary routes, licensed by defined allelic states (heterozygous/homozygous) and/or combinations of hallmark tumor-suppressor alterations. For simplicity, only the prototype tumor suppressor gene CDKN2A is shown. Not visualized: TP53ΔHOM loss, also promoting KRASMUT-iGD, or TGFBR2ΔHET/HOM inactivation, supporting evolution through CDKN2AHET/KRASMUT-HET trajectories. Depicted alternative trajectories are typical, but not completely exclusive, e.g. MYC or NFKB2 amplifications, which drive KRASMUT-HET cancers, can also cooperate with KRASMUT-iGD. Major aspects of a cancer´s biology/phenotype are linked to differential evolution.