Significance
The PIK3CAH1047R mutation is a common cancer “driver” and also causes an array of benign but highly disfiguring overgrowth disorders. Human induced pluripotent stem cells engineered to express two copies of PIK3CAH1047R undergo cancer-like transcriptional remodeling and lose their ability to exit the stem cell state. A single mutant copy of PIK3CAH1047R, as observed in noncancerous overgrowth, had minimal effect on the stem cells and was fully compatible with normal differentiation. Combined with the finding of multiple PIK3CA mutant copies in human cancers, this suggests that a signaling threshold determines the disease consequences of PIK3CAH1047R, one of the commonest human oncogenic mutations.
Keywords: PI3K, cancer, genetics, pluripotent stem cells, PROS
Abstract
The PIK3CA gene, which encodes the p110α catalytic subunit of PI3 kinase (PI3K), is mutationally activated in cancer and in overgrowth disorders known as PIK3CA-related overgrowth spectrum (PROS). To determine the consequences of genetic PIK3CA activation in a developmental context of relevance to both PROS and cancer, we engineered isogenic human induced pluripotent stem cells (iPSCs) with heterozygous or homozygous knockin of PIK3CAH1047R. While heterozygous iPSCs remained largely similar to wild-type cells, homozygosity for PIK3CAH1047R caused widespread, cancer-like transcriptional remodeling, partial loss of epithelial morphology, up-regulation of stemness markers, and impaired differentiation to all three germ layers in vitro and in vivo. Genetic analysis of PIK3CA-associated cancers revealed that 64% had multiple oncogenic PIK3CA copies (39%) or additional PI3K signaling pathway-activating “hits” (25%). This contrasts with the prevailing view that PIK3CA mutations occur heterozygously in cancer. Our findings suggest that a PI3K activity threshold determines pathological consequences of oncogenic PIK3CA activation and provide insight into the specific role of this pathway in human pluripotent stem cells.
Class IA phosphoinositide 3-kinases (PI3Ks) are essential components of the intracellular signaling cascades triggered by multiple growth factors, especially those acting via cell membrane receptor tyrosine kinases. Prominent among these are the insulin and insulin-like growth factor receptors. PI3K signaling is coupled to downstream activation of AKT and mammalian target of rapamycin complex 1 (mTORC1), which play key roles in organismal growth and development (1–3).
Strongly kinase-activating mutations in PIK3CA, the gene encoding the catalytic p110α subunit of PI3K, are among the most frequently observed oncogenic events in a range of human tumors (4). Although widely referred to as cancer “drivers,” the same mutations have also been identified in nonmalignant, albeit often severe, overgrowth disorders (5). These disorders are caused by postzygotic mosaic PIK3CA mutations and are phenotypically diverse, reflecting different patterns of mutation distribution and likely also different strengths of PI3K activation.
The commonest PIK3CA “hot-spot” variant, H1047R, has been studied extensively in cancer models, both in cells and in vivo. Endogenous, heterozygous expression in mice seemingly only results in cancer development in combination with additional oncogenic drivers (6–11), while transgenic overexpression of this PIK3CA mutant does lead to early malignancy (12–17). In cultured cells, PIK3CAH1047R overexpression, but not heterozygous expression from the endogenous locus, leads to cellular transformation (18, 19). In human tumors, PIK3CA mutations are not mutually exclusive with other oncogenic alterations within the PI3K pathway (20), suggesting that stronger pathway activation may be required for malignant progression. This is supported by the benign nature of the overgrowth in PIK3CA-related overgrowth spectrum (PROS) where PIK3CAH1047R heterozygosity is not sufficient to cause cancer. Despite this circumstantial evidence of dose-dependent effects of genetic PI3K activation, this has not been examined directly owing to the paucity of isogenic experimental models with endogenous expression of a defined number of oncogenic variants.
Disorders such as PROS illustrate that understanding aberrant development may hold lessons for cancer (21). Malignant transformation of cells typically involves dedifferentiation, reactivation of developmental pathways, and phenotypic plasticity. PIK3CAH1047R was recently linked to induction of multipotency and cellular dedifferentiation in two mouse models of breast cancer (8, 16). Overexpression of wild-type (WT) PIK3CA in the head and neck epithelium of a mouse model of oral carcinogenesis has also been associated with dedifferentiation and epithelial-to-mesenchymal transition, increased transforming growth factor β (TGFβ) signaling, and up-regulated expression of the pluripotency factors Nanog and Pou5f1 (Oct3/4) (22). Despite the insights gained from these and other mouse models of oncogenic PIK3CA, efforts to establish in vivo models of PROS have highlighted that species differences may constrain extrapolation from model organisms to the mechanisms of pathological PI3K activation in human disease (5).
Due to their unlimited self-renewal and differentiation capacity, human pluripotent stem cells (hPSCs) are increasingly used as tools to develop more relevant human disease models (23). Their inherent similarities to cancer cells also make them an attractive system in which to study oncogenic processes (24). Thus, to study dose-dependent effects of pathological PI3K hyperactivation in a developmental system of relevance to cancer and PROS, we engineered isogenic human induced pluripotent stem cells (iPSCs) to express PIK3CAH1047R from one or both endogenous loci. Our data reveal clear dose-dependent developmental phenotypes downstream of p110α activation, with homozygosity but not heterozygosity for PIK3CAH1047R promoting self-sustained stemness in vitro and in vivo. These findings emphasize the importance of using precisely engineered models of cancer-associated PIK3CA variants to obtain a faithful representation of their biological effects and have implications for our understanding of PI3K activation in human disease.
Results
Generation of Human iPSCs with Endogenous Expression of PIK3CAH1047R.
To establish a cell model suitable for interrogation of allele dose-dependent consequences of p110α activation in human development and disease, we used CRISPR/Cas9 genome editing of well-characterized, karyotypically normal WT iPSCs to generate multiple isogenic clones either heterozygous (n = 3) or homozygous (n = 10) for the activating PIK3CAH1047R allele (SI Appendix, Fig. S1 A–C). To control for nonspecific effects caused by genetic drift following so-called bottleneck selection (25, 26), we expanded six WT clones exposed to the gene-targeting process. Sequencing of multiple clones of each genotype showed no evidence of mutagenesis of 17 computationally predicted CRISPR off-target sites (SI Appendix, Fig. S1D), and a normal karyotype was confirmed in three homozygous and two heterozygous clones more than 10 passages after targeting (SI Appendix, Fig. S1E).
WT and PIK3CAWT/H1047R colonies had a similar microscopic appearance, whereas PIK3CAH1047R/H1047R clones exhibited aberrant colony morphology, characterized by disorganization of the normal epithelial appearance, including pronounced F-Actin-rich protrusions visible on colony margins (Fig. 1). Homozygous cells also proved more adherent in routine passaging, requiring longer dissociation time than WT and heterozygous cultures. Nevertheless, PIK3CAH1047R/H1047R clones remained positive for the pluripotent stem cell markers NANOG, OCT3/4, and TRA-1-60 (Fig. 1), consistent with preserved stem cell identity.
Allele Dose-Dependent Signaling Effects of PIK3CAH1047R.
We next assessed PI3K signaling in PIK3CAWT/H1047R and PIK3CAH1047R/H1047R iPSCs. p110α protein expression was reduced in both mutant genotypes and sometimes barely detectable in PIK3CAH1047R/H1047R cells. Despite this, immunoblotting revealed graded increases in AKT phosphorylation across PIK3CAWT/H1047R and PIK3CAH1047R/H1047R lines, both in growth factor-replete conditions (Fig. 2A) and upon growth factor removal (Fig. 2B). Consistent with previous findings in breast epithelial cells heterozygous for PIK3CAH1047R (19), both PIK3CAWT/H1047R and PIK3CAH1047R/H1047R cells also showed modest and graded increases in ERK phosphorylation.
Baseline PI3K pathway hyperactivation was inhibited in a dose-dependent manner by the p110α-specific inhibitor BYL719, while the p110β-specific inhibitor TGX221 had no effect (Fig. 2C). BYL719 did not reverse the allele dose-dependent down-regulation of the p110α protein, suggesting that it is not caused by acute negative-feedback mechanisms. In both mutant genotypes, low-dose BYL719 (100 nM) reduced AKT phosphorylation to the level in untreated WT cells (Fig. 2C), without inhibiting growth (SI Appendix, Fig. S2A). Relative to WT controls, mutant stem cells exhibited increased survival upon prolonged growth factor depletion, and this was also reversed by low-dose BYL719 (SI Appendix, Fig. S2B). A higher concentration of BYL719 (500 nM) was cytotoxic to both WT and PIK3CAWT/H1047R cells (SI Appendix, Fig. S2A), but not PIK3CAH1047R/H1047R cells, in which it reversed the aberrant colony morphology (SI Appendix, Fig. S2 A and C).
We also examined responses to acute stimulation with insulin, insulin-like growth factor 1 (IGF1), or epidermal growth factor (EGF) (Fig. 2D). PIK3CAWT/H1047R and PIK3CAH1047R/H1047R cells had high baseline AKT phosphorylation. This exceeded the level in IGF1-stimulated WT cells, but no consistent increase in the response to IGF1 was seen in mutant cells compared with WT (Fig. 2D). Insulin did not elicit discernible AKT phosphorylation in any of the iPSC cells used. This apparent insulin resistance may be caused by the high concentration of insulin (3 µM) used in the maintenance medium (27), resulting in down-regulation of insulin receptor expression at the plasma membrane (28). A modest increase in AKT phosphorylation in response to EGF was only observed in homozygous mutant cells. In contrast, EGF stimulation enhanced ERK phosphorylation above baseline in all iPSC lines, and this was progressively enhanced across heterozygous and homozygous mutant cells (Fig. 2D). These findings suggest that the MAPK/ERK pathway is primed to hyperrespond to growth factor stimulation in PIK3CAH1047R stem cells, in an allele dose-dependent manner.
Transcriptomic Effects of PIK3CAH1047R in Pluripotent Stem Cells.
To determine the wider dose-dependent consequences of genetic p110α activation, we profiled the protein-coding transcriptome of WT, PIK3CAWT/H1047R, and PIK3CAH1047R/H1047R iPSCs, cultured in growth factor-replete conditions to mimic the in vivo milieu of the pluripotent epiblast. Multidimensional scaling demonstrated distinct transcriptomic signatures of WT, heterozygous, and homozygous cells (Fig. 3A). The transcriptome of PIK3CAWT/H1047R cells was nearly identical to WT controls, with only 131 differentially expressed transcripts [false-discovery rate (FDR), 0.05]. In contrast, homozygosity for PIK3CAH1047R led to differential expression of 1,914 genes (Fig. 3A). This indicates widespread transcriptional remodeling with a sharp allele dose dependency, suggestive of a threshold effect.
Kyoto Encyclopedia of Genes and Genomes annotation-based pathway analysis using all 1,914 differentially expressed genes in PIK3CAH1047R/H1047R cells demonstrated significant changes to PI3K/AKT signaling, as expected. “Pathways in cancer” was identified as a common central node, highlighting the power of our isolated genetic activation of PI3K to recapitulate signatures identified in the genetically far more chaotic context of tumors (SI Appendix, Fig. S3). Other pathways identified as showing coherent perturbations were “Extracellular matrix-receptor interaction” and “Focal adhesion,” in keeping with the altered morphology and adhesion properties of homozygous mutants. Several genes involved in pluripotency regulation and WNT signaling were also differentially expressed. Finally, the TP53 pathway was found to be significantly altered (SI Appendix, Fig. S3). This is consistent with prior evidence of TP53 activation in cell lines with hyperactivation of PI3K/AKT (29–32). However, given the recent report that a substantial proportion of iPSC lines have TP53 mutations (33), we sequenced the TP53 gene of all clones. We found that two of the WT lines were indeed heterozygous for TP53 C135F (SI Appendix, Fig. S4A), a mild loss-of-function allele based on biochemical assays in yeast (34). Despite this, inspection of each iPSC clone’s RNA-seq data for the differentially expressed TP53 signaling genes showed that the signature difference in PIK3CAH1047R/H1047R cells was not attributable to these two WT lines.
To identify potential drivers of the transcriptional changes in PIK3CAH1047R/H1047R cells, we also undertook Ingenuity pathway analysis of upstream regulators. This again revealed the expected activation of PI3K/AKT signaling. It also implicated factors important in stem cell regulation, including TGFβ, FGF2, TP53, β-catenin, and MYC (Fig. 3B). TGFβ was the most significant prediction, and supporting increased signaling within this pathway, we found increased phosphorylation of SMAD2 in homozygous mutants (SI Appendix, Fig. S4B). These cells also had up-regulated expression of NODAL (Fig. 3C and SI Appendix, Fig. S3), a member of the TGFβ superfamily that maintains the pluripotent epiblast at early developmental stages and later induces primitive streak formation during gastrulation (35). Consistent with NODAL’s dual function, PIK3CAH1047R/H1047R cells exhibited a stemness signature (36) including up-regulation of NANOG, POU5F1 (OCT3/4), MYC, KDR, IGF1R, as well as up-regulation of primitive streak markers such as FGF4, GDF3, and FOXA2 (Fig. 3C and SI Appendix, Fig. S3). Up-regulation of NODAL in WT and mutant cells was abolished by p110α-specific inhibition with BYL719 (SI Appendix, Fig. S4C). In comparison, NANOG expression remained mostly unaffected by BYL719, with a trend toward down-regulation after 48 h of p110α inhibition (SI Appendix, Fig. S4C). These findings suggest up-regulation of NODAL and enhanced TGFβ/SMAD2 signaling as a candidate mechanism whereby p110α activation may exert effects on stemness in hPSCs.
Homozygosity for PIK3CAH1047R Confers Self-Sustained Stemness upon Embryoid Bodies.
Embryoid bodies (EBs) are widely used to model lineage specification during gastrulation (37, 38). Previous studies have shown that NODAL overexpression in hPSC-derived EBs blocks differentiation to all three germ layers (39). Given the evidence for up-regulated NODAL and TGFβ signaling in PIK3CAH1047R/H1047R cells, we tested whether the resulting EBs would behave similarly to NODAL-overexpressing EBs. EBs were established without TGFβ and FGF2, cultured in suspension for 4 d, and allowed to generate adherent outgrowths for 6 d (Fig. 4A). PIK3CAH1047R/H1047R stem cells consistently generated compact, cystic EBs that failed to bud and undergo internal reorganization (Fig. 4B), with notable resemblance to mouse EBs overexpressing constitutively active PDK1 or AKT1 (40). In adherent culture, PIK3CAH1047R/H1047R EB outgrowths resembled stem cell colonies (Fig. 4B). Confirming this, PIK3CAH1047R/H1047R EB outgrowths stained positive for the stemness markers OCT3/4, NANOG, and TRA-1-60 (Fig. 4C). WT and PIK3CAWT/H1047R EBs, in contrast, exhibited complex morphologies in suspension and yielded heterogeneous outgrowths of differentiated cells, which continued to mature during the experiment (Fig. 4 B and C).
The apparent differentiation block of PIK3CAH1047R/H1047R EBs was assessed transcriptionally using lineage-specific arrays and candidate gene quantitative PCR. Unlike WT and PIK3CAWT/H1047R EBs, homozygous mutants exhibited sustained expression of stemness genes and failed to up-regulate germ layer-specific markers, both in adherent cultures and in suspension (Fig. 4D and SI Appendix, Fig. S5 A–D). This phenotype persisted in the presence of serum, which is used to induce EB differentiation (Fig. 4D and SI Appendix, Fig. S5A). Attempts to reverse the PIK3CAH1047R/H1047R EB phenotype with the p110α inhibitor BYL719 were unsuccessful due to poor EB survival in the presence of the drug, consistent with previous studies demonstrating high EB sensitivity to PI3K/mTOR inhibition (40–42).
Heterozygosity for PIK3CAH1047R Is Compatible with Directed Definitive Endoderm Formation.
Heterozygosity for PIK3CAH1047R did not produce major perturbations in the transcriptome of iPSCs nor in EB differentiation. Nevertheless, observation of PIK3CA-driven overgrowth in PROS suggests that mesodermal and neuroectodermal tissues are widely involved, while tissues of endodermal origin are only rarely affected by strong activating mutations, raising the possibility of negative selection during endodermal development (5). We thus sought to undertake more systematic analysis of early differentiation in our human developmental models of PIK3CAH1047R. To overcome the high variability seen in self-aggregating, spontaneously differentiating EBs, the protocol was modified, incorporating use of microwell plates to ensure homogeneous EB size (SI Appendix, Fig. S6A). EB formation was followed by 3 d of exposure to different concentrations of Activin A, BMP4, and FGF2 to promote mesoderm or definitive endoderm formation (43, 44). Lineage-specific gene expression arrays, candidate gene quantitative PCR, and immunostaining assays were used to assess expression of multiple differentiation markers. Mesoderm or endoderm induction led to increased expression of the expected lineage-specific markers (SI Appendix, Fig. S6 B and C). The temporal pattern and relative expression levels of the analyzed genes were similar for PIK3CAWT/H1047R and WT EBs (SI Appendix, Fig. S6 B and C), and adherent outgrowths from both stained positive for mesoderm and endoderm markers at the end of the 10-d protocol (Fig. 5). The results of this assay argue against an inability of PIK3CAWT/H1047R iPSCs to yield definitive endoderm.
We also subjected WT and PIK3CAH1047R-harboring cell lines to monolayer-based directed differentiation using a combination of low serum, inhibition of GSK3, and high levels of Activin A (45) (Fig. 6A). The differentiation medium was also supplemented with DMSO (control) or BYL719 (100 nM), in anticipation that high PI3K signaling would be incompatible with 2D definitive endoderm formation, as reported previously (46, 47). Unexpectedly, both PIK3CAWT/H1047R and PIK3CAH1047R/H1047R iPSCs differentiated successfully to definitive endoderm under these directed conditions, as evidenced by gene expression analysis and immunostaining (Fig. 6B and SI Appendix, Fig. S7A). The dynamics of gene expression were closely similar across the three genotypes and were unaffected by p110α inhibition (Fig. 6B). Confirming that this was not a donor-specific effect, similar results were obtained with isogenic WT and mutant iPSCs derived from a PROS patient with mosaic, heterozygous expression of the rare PIK3CAE418K allele (SI Appendix, Fig. S7B).
Overall, these findings suggest that PI3K activation is compatible with definitive endoderm formation in vitro, contrary to previous conclusions based on the use of nonspecific pan-PI3K inhibitors with known off-target effects (46, 47), and do not support cell-autonomous negative selection in early endoderm specification in PROS.
Allele Dose-Dependent Effects of PIK3CAH1047R in Vivo.
To confirm that allele dose-dependent effects of PIK3CAH1047R were not artifacts of in vitro culture, we injected immunodeficient mice with WT or mutant iPSCs, and allowed them to form tumors over 5–8 wk before histopathological assessment. WT and PIK3CAWT/H1047R tumors contained differentiated components of the three germ layers, including bone, cartilage, pigmented epithelium, nervous tissue, and tubular endodermal structures (Fig. 7A and SI Appendix, Table S1). All PIK3CAWT/H1047R tumors exhibited better differentiated endoderm-derived tissues including respiratory (all lines) and gastrointestinal (one line) epithelium, corroborating the in vitro finding that heterozygosity for PIK3CAH1047R does not impair definitive endoderm formation. In contrast, differentiated components were either completely absent or very immature in the two PIK3CAH1047R/H1047R tumors (Fig. 7A and SI Appendix, Table S1), consistent with the inability of the parental cells to yield spontaneously differentiated EBs. The least mature of the PIK3CAH1047R/H1047R tumors showed extensive recruitment of mouse stromal cells, forming septae separating lobules of immature human tissue (SI Appendix, Fig. S8A). Homozygous tumors also contained multiple foci positive for T BRACHYURY (immature mesoderm) and nuclear OCT3/4 (embryonal carcinoma marker in germ cell tumors) (SI Appendix, Fig. S8 C and D). This was further confirmed by immunohistochemistry for another embryonal carcinoma marker, CD30, which overlapped with OCT3/4-positive regions (SI Appendix, Fig. S8E). Additionally, PIK3CAH1047R/H1047R tumors exhibited extensive necrosis and yolk sac-like tissue formation (Fig. 7A and SI Appendix, Fig. S8 D and E and Table S1), the latter suggested to be an in vivo characteristic of injected pluripotent stem cells with malignant potential (48). These results are in line with our in vitro studies and demonstrate that homozygosity but not heterozygosity for PIK3CAH1047R promotes stemness of hPSCs.
Stem cells share many similarities with cancer cells, and phenotypes such as dedifferentiation and reactivation of developmental pathways have been linked to epithelial-to-mesenchymal transition and aggressive tumor behavior in vivo (49). PIK3CA mutations in human tumors are not mutually exclusive with other oncogenic alterations promoting PI3K pathway activation, suggesting that further activation is positively selected for (50). This raises the possibility that our findings may be relevant to understanding the behavior of human cancer. We thus analyzed the prevalence of multiple oncogenic “hits” within the PI3K pathway using data from The Cancer Genome Atlas (TCGA) on cancer types with >10% prevalence of PIK3CA mutations. In aggregate, 21% of these cancers had PIK3CA mutations. Nearly 40% of this subset had more than one copy of the mutation, and 25% also had a mutation in other selected PI3K pathway components (PTEN, PIK3R1, AKT1/2/3) or harbored a second PIK3CA variant (Fig. 7 B and C). This high frequency of additional mechanisms activating PI3K signaling in cancers provides circumstantial support for the notion that the strength of PI3K hyperactivation may be important for tumor progression in vivo.
Discussion
We present a pluripotent stem cell model permitting assessment of the consequences of selective genetic p110α activation specifically in a human developmental context. By using CRISPR-mediated knockin of PIK3CAH1047R into one or both endogenous PIK3CA alleles, we were able to examine the importance of mutant PIK3CA allele dosage for pathway activation and downstream cellular responses in human iPSCs. hPSCs are useful not only for study of human embryogenesis but also of the effects of pathological PI3K signaling, as seen in PROS and cancer cells (51). The model we have generated may thus be useful for understanding oncogenic actions of PIK3CAH1047R in different contexts. By using expression from endogenous loci, by studying multiple clones of each genotype, and by controlling for nonspecific variation introduced during the targeting process, we have minimized analytic problems arising from overexpression of the gene of interest and from nonspecific genetic and chromosomal abnormalities.
PIK3CAH1047R increased PI3K signaling “tone” both in growth factor-replete and growth factor-depleted medium. Most strikingly, we report distinct allele dose-dependent effects of mutant PIK3CA on stemness and pluripotency in vitro and in vivo, with a corresponding major alteration of the transcriptome triggered at a threshold between heterozygous and homozygous p110α activation. At odds with our finding in human stem cells, heterozygous expression of PIK3CAH1047R in a human MCF10A breast epithelial cell line has previously been shown to cause widespread transcriptional changes, illustrating the notion that small changes in a nonlinear system can have extensive consequences (52, 53). However, the mutant cells in these studies also had amplification of chromosome 5p13-15 (53), a region harboring the gene encoding the catalytic subunit of telomerase. This could have contributed to the observed discrepancy to our study. Alternatively, thresholds at which p110α signaling triggers its transcriptional effects may differ among cell types. Exemplifying this, either overexpression or endogenous expression of PIK3CAH1047R induces multipotency in mammary tumors (8, 16), with the tumor cell of origin dictating phenotypic severity.
The generation of human developmental cell models of PIK3CAH1047R is also important given the well-documented differences between the pathways regulating mouse and human stem cell pluripotency and differentiation (54). Although we describe a stem cell-based study focusing on endogenous expression of the commonest pathogenic PIK3CA allele, several other studies have adopted different strategies to activate other components of the PI3K/AKT signaling cascade in this cell type (40, 55–58). Self-sustained stemness is a common motif in the phenotypes reported, and some studies, like ours, argue for discernible PI3K dose dependency. For example, mouse pluripotent stem cells with homozygous knockout of the isoform-agnostic type IA PI3K negative regulator Pten exhibit impaired differentiation in vitro and in vivo, but this is not seen in heterozygous knockout cells (57). How strong PI3K activation sustains stemness remains to be determined; however, our data suggest that induction of TGFβ signaling via NODAL is likely to be important. Supporting this, several transcriptional changes observed in PIK3CAH1047R/H1047R cells were reciprocal to those in hPSCs exposed to pharmacological inhibition of TGFβ signaling (59). It is also possible that the direct link between PI3K activation and NODAL expression underlies the previously reported association between PI3K/AKT activation and expression of NANOG (56, 60), a key pluripotency gene controlled by SMAD2/3 (61).
In contrast to the complex genetics of cancer, activating PIK3CA mutations arise heterozygously and in isolation in the severe overgrowth disorders known as PROS. An excess risk of adult cancer has not been reported in these mosaic disorders, in line with accumulating evidence that heterozygosity for PIK3CAH1047R alone is not sufficient to cause cellular transformation (5). PROS also illustrates the importance of controlled p110α signaling in early human development. Overgrowth in PROS commonly affects mesodermal and neuroectodermal lineages but rarely endoderm-derived tissues, prompting speculation that a sustained increase in PI3K activation impairs endoderm development (5). It has also been reported that class IA PI3K signaling is incompatible with directed definitive endoderm formation from hPSCs, although this assertion is largely based on use of nonspecific pan-PI3K inhibitors (46, 47). In our study, we found no evidence that genetic PI3K activation impairs guided definitive endoderm formation in culture. Moreover, PIK3CAWT/H1047R pluripotent stem cells gave rise to teratomas featuring well-differentiated endodermal components, arguing against a cell-autonomous defect in endoderm specification as an explanation for overall lack of endodermal overgrowth in PROS. The relatively mild biochemical and transcriptional consequences of heterozygous PIK3CA activation in stem cells, and their grossly normal early differentiation in several different experimental contexts, suggest that any negative selection in certain lineages may be exerted only at later stages of differentiation. In contrast, homozygosity for PIK3CAH1047R in early development will likely be selected against due to impaired differentiation and embryonic lethality.
For all of the modesty of the cellular effects and lack of increased adult cancer risk in PROS, we emphasize that heterozygosity for PIK3CAH1047R is unequivocally causal in PROS, reflecting the cumulative effects of sustained low-grade growth promotion over an individual’s lifetime. The relatively small signaling perturbation conferred by PIK3CAH1047R heterozygosity, and the lack of cooperating lesions, makes treatment with a low-dose p110α inhibitor a particularly promising option in this setting. Consistent with this, low-dose BYL719 was shown recently to produce highly clinically significant regression of overgrowth in adults and children with PROS, without the side effects associated with PI3K inhibition in cancer trials (62).
Our report of marked allele dose-dependent effects of PIK3CAH1047R may also have implications for understanding of PI3K-associated cancers. Many human cancers feature oncogenic alterations in PIK3CA, and not only do these often occur with mutations in other pathway components, but our data demonstrate the frequent presence of more than one mutant PIK3CA copy, suggesting that cancer cells benefit from additional PI3K pathway activation. Future studies of the role of the PI3K pathway in cancer progression should incorporate consideration of PI3K signaling “dose” and the possibility of clear thresholds for biological consequences. Such considerations echo recent reports that an increased dosage of mutant KRAS influences clinical outcome and therapeutic targeting (63, 64). Supporting this notion, Bielski et al. (65) also found that oncogene allelic imbalances in human cancers were selected for through modest dosage increases of gain-of-function variants, with consequences for sensitivity to targeted therapy. Their study provides systematic evidence from human cancers against the commonly held view that gain-of-function mutations in cellular oncogenes are typically heterozygous, where a dominant mechanism of action is thought sufficient to promote oncogenesis. Our genomic analyses focusing on PIK3CA-associated cancers and oncogenic “hits” within the PI3K pathway, combined with direct cellular evidence of allele dose-dependent effects of PIK3CAH1047R, adds further support to a revised oncogene model that takes into account the functional implications of allelic imbalances. Based on these observations, it will be interesting to determine whether cancers with stronger activation of PI3K exhibit more aggressive features such as a higher degree of dedifferentiation and metastatic potential. Conversely, therapeutic sensitivity may also be higher in tumors with increased PI3K signaling dose. Of note, a recent clinical study evaluating the efficacy of AKT inhibition in patients with the AKT1E17K mutation found frequent homozygosity for this variant, and this was associated with a statistically and clinically significant improvement in therapeutic response (66). As the authors note, this may suggest that future patient stratification for targeted cancer therapy should take into account the tumor’s genomic configuration (66), including differences in oncogene dosage and coincident oncogenic “hits” within the same pathway.
In summary, our study demonstrates that the cellular consequences of the most common oncogenic PIK3CA mutation are allele dose dependent. The observed near binary differences between PIK3CAH1047R heterozygosity and homozygosity suggest that cells may have a PI3K signaling threshold that determines the pathological consequences of this variant in development and cancer. Prospective clinical studies are needed to determine whether differences in the allele dosage of activating PIK3CA mutations influence therapeutic outcomes in cancer.
Methods
Additional information, including reagent catalog numbers and nucleic acid sequences, are provided in SI Appendix.
Experimental Models.
CRISPR/Cas9 targeting was performed on the male WTC11 iPSC line line, a kind gift from Bruce Conklin (Gladstone Institutes and University of California, San Francisco). The derivation of this line has been described (67), and publicly available RNA, whole-exome, and whole-genome sequencing data are available via the Conklin laboratory’s website (https://labs.gladstone.org/conklin/wtc-information.html) or via the Coriell Institute (GM25256). In the current work, the parental line was used for gene editing at passage numbers P37 and P38. The derived iPSCs were used for experiments between P45 and P60.
The PROS patient-derived iPSC lines M98-WT and M98-E418K were obtained from a female, 18-y-old PROS patient by episomal reprogramming of a dermal fibroblast culture with 32% mosaicism for PIK3CAE418K. All clones used for experimental studies were confirmed transgene-free and expressed high levels of PSC-specific markers, comparable to those of a reference hPSC line. Karyotyping on a single line from each genotype confirmed lack of microscopic genetic rearrangements. The original patient-derived dermal fibroblasts were obtained with full informed consent in accord with the Declaration of Helsinki. The study was approved by The Cambridge South Ethics Committee (study reference no. 12/EE/0405).
CRISPR/Cas9 Targeting of Human iPSCs.
The WTC11 iPSC line was targeted with plasmid-delivered WT Cas9 (pX459; Addgene; 48139) and gBlock-encoded FE-modified single guide RNAs (sgRNAs) (68). Targeting was performed by nucleofection of 5 μg of pX459 plasmid (Cas9 WT), 3 μg of sgRNA-encoding gBlock, and either 200-pmol targeting template (for homozygous targeting) or a combination of 100-pmol targeting and “mock” templates (for heterozygous targeting). The nucleofected cells were seeded into Geltrex-coated 96-well plates and processed for sib-selection when ready for passaging. Sib-selection was performed as described previously (69), using 25–100 cells per well in each subcloning round. WT iPSC lines obtained in the process of subcloning were banked as genetically matched controls. Genotyping, including off-target assessment, by Sanger sequencing and restriction fragment length polymorphism assays are described in SI Appendix.
Differentiation Assays.
EBs.
EBs were established either by spontaneous self-aggregation of hPSCs or by forced aggregation into AggreWell plates. For self-aggregation, 50–70% confluent hPSCs were dissociated into aggregates with ReLeSR, and the entire cell suspension from a six-well transferred to one 60-mm Nunclon Sphera ultra-low attachment dish in Essential 6 (E6) medium supplemented with 0.4% (wt/vol) polyvinyl alcohol (PVA) and RevitaCell (E6/PVA+R). EBs formed within 24 h, after which the medium was exchanged with E6 (without PVA and RevitaCell). The medium was exchanged again on day 3 of EB formation. For adherent outgrowths, the EBs were transferred to Geltrex-coated six-well plates on day 4, either in regular E6 or in E6 supplemented with 10% (vol/vol) FBS, 100 nM BYL719, or 0.01% (vol/vol) DMSO. The EBs from a single Nunclon Sphera dish were used to seed four wells of a 6-well plate or eight wells of a 12-well plate. EB outgrowths were collected for RNA extraction on day 10 of EB formation. In one experiment, suspension EBs were also collected on day 4 and day 13.
EB set-up in AggreWell plates followed the manufacturer’s instructions, with E6/PVA+R as medium for cell seeding. A total of 2.4 × 105 cells was seeded in each well, for a final density of 200 cells per microwell. EBs formed within 24 h, and the contents of four to five individual wells were transferred to a single Nunclon Sphera ultra-low attachment dish for culturing in either mesoderm (10 ng/mL BMP4, 5 ng/mL Activin A, 5 ng/mL FGF2) or endoderm (0.25 ng/mL BMP4, 100 ng/mL Activin A, 2.5 ng/mL FGF2) induction medium. After 3 d of induction, the EBs were transferred to Geltrex-coated six-well plates for adherent growth and maintained in E6 until day 10. Cells were collected for RNA extraction on day 0 (iPSC stage), day 4, day 7, and day 10 of EB formation. For immunocytochemistry, day 4 EBs were also seeded for adherent growth in Geltrex-coated four-well or 35-mm Ibidi imaging dishes and processed for staining on day 10.
Definitive endoderm differentiation.
Definitive endoderm differentiation of iPSCs was carried out according to a modified version of the protocol described in ref. 45. Further details are provided in SI Appendix.
Tumor Xenograft Assays.
Tumor xenografts were generated from a total of 10 iPSC cultures (6 WT, 3 PIK3CAWT/H1047R, 2 PIK3CAH1047R/H1047R) by s.c. injection into immunodeficient, male NSG mice (005557; The Jackson Laboratory) at 12 wk of age. Individual animals were culled when tumors reached ∼1.4 cm3 in size, or if they became ill suddenly. All animal procedures were performed with approval from the local Animal Welfare Ethical Review Body and in accordance with Home Office regulations [The Animal (Scientific Procedures) Act 1986].
Each tumor was processed for formalin fixation, paraffin embedding, microtome sectioning, and hematoxylin and eosin (H&E) staining as described in ref. 70. The slides were analyzed blindly by a human pathologist and processed for automated bright-field imaging on an AxioScan Z1 (Zeiss) slide scanner.
RNA Sequencing.
A total of 1 µg of RNA per sample was used to synthesize 50-bp-long single-end mRNA libraries with an Illumina TruSeq Stranded mRNA Library Prep Kit. The integrity and quantity of the libraries were determined on the Bioanalyzer using the DNA 12000 Kit (Agilent). The barcoded libraries were pooled and sequenced on an Illumina HiSeq 4000, with an average depth of 20 million reads per sample. The raw reads were mapped to the human genome build GRCh38, and gene level counts were determined using Spliced Transcripts Alignment to a Reference, version 2.5 (71). Subsequent data processing followed the method outlined in ref. 72.
TCGA Data Analysis.
The cancer genome analyses presented in this work are based upon data generated by the TCGA Research Network: https://cancergenome.nih.gov/. Somatic mutation tables (minor allele frequencies) from whole-exome sequencing data across 11 cancer types (BLCA, BRCA, CESC, CRC, ESCA, GMB, HNSC, LUSC, STAD, UCEC, and UCS) were downloaded from the TCGA portal through the Genomic Data Commons Data Transfer Tool. Mutation calls generated by Varscan2 (73) were used. To limit false positives, for those variants with a VAF (t_alt_count/t_depth) < 0.05, we retained those that were also identified by the MuTect2 algorithm (74). Functional annotation of genomic variants was performed with ANNOVAR (75). Purity, ploidy, and copy number profiles of tumor cells were obtained with ASCAT (76) run using default parameters on SNP6.0 data. For additional details, see SI Appendix.
Supplementary Material
Acknowledgments
We thank the National Institute for Health Research (NIHR) Cambridge Biomedical Research Centre Human Induced Pluripotent Stem Cells Core Facility for reprogramming patient-derived dermal fibroblasts. We thank Dr. Anne-Claire Guenantin and Dr. Mo Mandegar for technical advice on stem cell culture. R.R.M. and R.K.S. are supported by the Wellcome Trust (105371/Z/14/Z, 210752/Z/18/Z) and United Kingdom (UK) NIHR Cambridge Biomedical Research Centre, and R.R.M. by a Boak Student Award from Clare Hall. B.V. is supported by Cancer Research UK (C23338/A25722), PTEN Research, and the UK NIHR University College London Hospitals Biomedical Research Centre. Metabolic Research Laboratories Core facilities are supported by the Medical Research Council Metabolic Diseases Unit (MC_UU_12012/5) and a Wellcome Major Award (208363/Z/17/Z). The University College London Cancer Institute Pathology Core Facility is supported by Cancer Research UK (C416-A25145). N.M. is Sir Henry Dale Fellow funded by the Wellcome Trust and the Royal Society (211179/Z/18/Z). N.M. receives funding from Cancer Research UK, and Rosetrees Trust. S.L. received funding from the Rosetrees Trust.
Footnotes
Conflict of interest statement: B.V. is a consultant for Venthera (Palo Alto, CA), iOnctura (Geneva, Switzerland), and Karus Therapeutics (Oxford, United Kingdom). N.M. has received consultancy fees from Achilles Therapeutics.
This article is a PNAS Direct Submission.
Data deposition: The RNA-seq data reported in this paper have been deposited in the Gene Expression Omnibus (GEO) database, https://www.ncbi.nlm.nih.gov/geo (accession no. GSE126562). All raw data and bespoke RNotebooks containing guided scripts used to analyze larger datasets have been deposited with the Open Science Framework (OSF) (doi: 10.17605/OSF.IO/DVJNT). All uncropped Western blots are also provided via OSF; these include both blots that are displayed in the paper as well as additional replicates.
This article contains supporting information online at www.pnas.org/lookup/suppl/doi:10.1073/pnas.1821093116/-/DCSupplemental.
References
- 1.Fruman DA, et al. The PI3K pathway in human disease. Cell. 2017;170:605–635. doi: 10.1016/j.cell.2017.07.029. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 2.Manning BD, Toker A. AKT/PKB signaling: Navigating the network. Cell. 2017;169:381–405. doi: 10.1016/j.cell.2017.04.001. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 3.Saxton RA, Sabatini DM. mTOR signaling in growth, metabolism, and disease. Cell. 2017;168:960–976. doi: 10.1016/j.cell.2017.02.004. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 4.Zhang Y, et al. A pan-cancer proteogenomic atlas of PI3K/AKT/mTOR pathway alterations. Cancer Cell. 2017;31:820–832.e3. doi: 10.1016/j.ccell.2017.04.013. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 5.Madsen RR, Vanhaesebroeck B, Semple RK. Cancer-associated PIK3CA mutations in overgrowth disorders. Trends Mol Med. 2018;24:856–870. doi: 10.1016/j.molmed.2018.08.003. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 6.Yuan W, et al. Conditional activation of Pik3ca(H1047R) in a knock-in mouse model promotes mammary tumorigenesis and emergence of mutations. Oncogene. 2013;32:318–326. doi: 10.1038/onc.2012.53. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 7.Tikoo A, et al. Physiological levels of Pik3ca(H1047R) mutation in the mouse mammary gland results in ductal hyperplasia and formation of ERα-positive tumors. PLoS One. 2012;7:e36924. doi: 10.1371/journal.pone.0036924. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 8.Van Keymeulen A, et al. Reactivation of multipotency by oncogenic PIK3CA induces breast tumour heterogeneity. Nature. 2015;525:119–123. doi: 10.1038/nature14665. [DOI] [PubMed] [Google Scholar]
- 9.Green S, Trejo CL, McMahon M. PIK3CA(H1047R) accelerates and enhances KRAS(G12D)-driven lung tumorigenesis. Cancer Res. 2015;75:5378–5391. doi: 10.1158/0008-5472.CAN-15-1249. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 10.Berenjeno IM, et al. Oncogenic PIK3CA induces centrosome amplification and tolerance to genome doubling. Nat Commun. 2017;8:1773. doi: 10.1038/s41467-017-02002-4. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 11.Kinross KM, et al. An activating Pik3ca mutation coupled with Pten loss is sufficient to initiate ovarian tumorigenesis in mice. J Clin Invest. 2012;122:553–557. doi: 10.1172/JCI59309. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 12.Engelman JA, et al. Effective use of PI3K and MEK inhibitors to treat mutant Kras G12D and PIK3CA H1047R murine lung cancers. Nat Med. 2008;14:1351–1356. doi: 10.1038/nm.1890. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 13.Meyer DS, et al. Luminal expression of PIK3CA mutant H1047R in the mammary gland induces heterogeneous tumors. Cancer Res. 2011;71:4344–4351. doi: 10.1158/0008-5472.CAN-10-3827. [DOI] [PubMed] [Google Scholar]
- 14.Liu P, et al. Oncogenic PIK3CA-driven mammary tumors frequently recur via PI3K pathway-dependent and PI3K pathway-independent mechanisms. Nat Med. 2011;17:1116–1120. doi: 10.1038/nm.2402. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 15.Hanker AB, et al. Mutant PIK3CA accelerates HER2-driven transgenic mammary tumors and induces resistance to combinations of anti-HER2 therapies. Proc Natl Acad Sci USA. 2013;110:14372–14377. doi: 10.1073/pnas.1303204110. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 16.Koren S, et al. PIK3CA(H1047R) induces multipotency and multi-lineage mammary tumours. Nature. 2015;525:114–118. doi: 10.1038/nature14669. [DOI] [PubMed] [Google Scholar]
- 17.Yueh AE, et al. Colon cancer tumorigenesis initiated by the H1047R mutant PI3K. PLoS One. 2016;11:e0148730. doi: 10.1371/journal.pone.0148730. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 18.Isakoff SJ, et al. Breast cancer-associated PIK3CA mutations are oncogenic in mammary epithelial cells. Cancer Res. 2005;65:10992–11000. doi: 10.1158/0008-5472.CAN-05-2612. [DOI] [PubMed] [Google Scholar]
- 19.Gustin JP, et al. Knockin of mutant PIK3CA activates multiple oncogenic pathways. Proc Natl Acad Sci USA. 2009;106:2835–2840. doi: 10.1073/pnas.0813351106. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 20.Yuan TL, Cantley LC. PI3K pathway alterations in cancer: Variations on a theme. Oncogene. 2008;27:5497–5510. doi: 10.1038/onc.2008.245. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 21.Bellacosa A. Developmental disease and cancer: Biological and clinical overlaps. Am J Med Genet A. 2013;161A:2788–2796. doi: 10.1002/ajmg.a.36267. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 22.Du L, et al. Overexpression of PIK3CA in murine head and neck epithelium drives tumor invasion and metastasis through PDK1 and enhanced TGFβ signaling. Oncogene. 2016;35:4641–4652. doi: 10.1038/onc.2016.1. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 23.Gingold J, Zhou R, Lemischka IR, Lee DF. Modeling cancer with pluripotent stem cells. Trends Cancer. 2016;2:485–494. doi: 10.1016/j.trecan.2016.07.007. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 24.Ben-David U, Benvenisty N. The tumorigenicity of human embryonic and induced pluripotent stem cells. Nat Rev Cancer. 2011;11:268–277. doi: 10.1038/nrc3034. [DOI] [PubMed] [Google Scholar]
- 25.Veres A, et al. Low incidence of off-target mutations in individual CRISPR-Cas9 and TALEN targeted human stem cell clones detected by whole-genome sequencing. Cell Stem Cell. 2014;15:27–30. doi: 10.1016/j.stem.2014.04.020. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 26.Ben-David U, et al. Genetic and transcriptional evolution alters cancer cell line drug response. Nature. 2018;560:325–330. doi: 10.1038/s41586-018-0409-3. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 27.Chen G, et al. Chemically defined conditions for human iPSC derivation and culture. Nat Methods. 2011;8:424–429. doi: 10.1038/nmeth.1593. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 28.Ronnett GV, Knutson VP, Lane MD. Insulin-induced down-regulation of insulin receptors in 3T3-L1 adipocytes. Altered rate of receptor inactivation. J Biol Chem. 1982;257:4285–4291. [PubMed] [Google Scholar]
- 29.Kim J-S, Lee C, Bonifant CL, Ressom H, Waldman T. Activation of p53-dependent growth suppression in human cells by mutations in PTEN or PIK3CA. Mol Cell Biol. 2007;27:662–677. doi: 10.1128/MCB.00537-06. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 30.Astle MV, et al. AKT induces senescence in human cells via mTORC1 and p53 in the absence of DNA damage: Implications for targeting mTOR during malignancy. Oncogene. 2012;31:1949–1962. doi: 10.1038/onc.2011.394. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 31.Chen Z, et al. Crucial role of p53-dependent cellular senescence in suppression of Pten-deficient tumorigenesis. Nature. 2005;436:725–730. doi: 10.1038/nature03918. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 32.Miyauchi H, et al. Akt negatively regulates the in vitro lifespan of human endothelial cells via a p53/p21-dependent pathway. EMBO J. 2004;23:212–220. doi: 10.1038/sj.emboj.7600045. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 33.Merkle FT, et al. Human pluripotent stem cells recurrently acquire and expand dominant negative P53 mutations. Nature. 2017;545:229–233. doi: 10.1038/nature22312. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 34.Brachmann RK, Vidal M, Boeke JD. Dominant-negative p53 mutations selected in yeast hit cancer hot spots. Proc Natl Acad Sci USA. 1996;93:4091–4095. doi: 10.1073/pnas.93.9.4091. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 35.Pauklin S, Vallier L. Activin/Nodal signalling in stem cells. Development. 2015;142:607–619. doi: 10.1242/dev.091769. [DOI] [PubMed] [Google Scholar]
- 36.Brill LM, et al. Phosphoproteomic analysis of human embryonic stem cells. Cell Stem Cell. 2009;5:204–213. doi: 10.1016/j.stem.2009.06.002. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 37.ten Berge D, et al. Wnt signaling mediates self-organization and axis formation in embryoid bodies. Cell Stem Cell. 2008;3:508–518. doi: 10.1016/j.stem.2008.09.013. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 38.Brickman JM, Serup P. Properties of embryoid bodies. Wiley Interdiscip Rev Dev Biol. 2017;6:1–11. doi: 10.1002/wdev.259. [DOI] [PubMed] [Google Scholar]
- 39.Vallier L, Reynolds D, Pedersen RA. Nodal inhibits differentiation of human embryonic stem cells along the neuroectodermal default pathway. Dev Biol. 2004;275:403–421. doi: 10.1016/j.ydbio.2004.08.031. [DOI] [PubMed] [Google Scholar]
- 40.Ling LS, Voskas D, Woodgett JR. Activation of PDK-1 maintains mouse embryonic stem cell self-renewal in a PKB-dependent manner. Oncogene. 2013;32:5397–5408. doi: 10.1038/onc.2013.44. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 41.Bone HK, Welham MJ. Phosphoinositide 3-kinase signalling regulates early development and developmental haemopoiesis. J Cell Sci. 2007;120:1752–1762. doi: 10.1242/jcs.003772. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 42.Zhou J, et al. mTOR supports long-term self-renewal and suppresses mesoderm and endoderm activities of human embryonic stem cells. Proc Natl Acad Sci USA. 2009;106:7840–7845. doi: 10.1073/pnas.0901854106. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 43.Kattman SJ, et al. Stage-specific optimization of activin/nodal and BMP signaling promotes cardiac differentiation of mouse and human pluripotent stem cell lines. Cell Stem Cell. 2011;8:228–240. doi: 10.1016/j.stem.2010.12.008. [DOI] [PubMed] [Google Scholar]
- 44.Nostro MC, et al. Stage-specific signaling through TGFβ family members and WNT regulates patterning and pancreatic specification of human pluripotent stem cells. Development. 2011;138:861–871. doi: 10.1242/dev.055236. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 45.Diekmann U, Lenzen S, Naujok O. A reliable and efficient protocol for human pluripotent stem cell differentiation into the definitive endoderm based on dispersed single cells. Stem Cells Dev. 2015;24:190–204. doi: 10.1089/scd.2014.0143. [DOI] [PubMed] [Google Scholar]
- 46.McLean AB, et al. Activin a efficiently specifies definitive endoderm from human embryonic stem cells only when phosphatidylinositol 3-kinase signaling is suppressed. Stem Cells. 2007;25:29–38. doi: 10.1634/stemcells.2006-0219. [DOI] [PubMed] [Google Scholar]
- 47.Touboul T, et al. Generation of functional hepatocytes from human embryonic stem cells under chemically defined conditions that recapitulate liver development. Hepatology. 2010;51:1754–1765. doi: 10.1002/hep.23506. [DOI] [PubMed] [Google Scholar]
- 48.Allison TF, et al. Assessment of established techniques to determine developmental and malignant potential of human pluripotent stem cells. Nat Commun. 2018;9:1–15. doi: 10.1038/s41467-018-04011-3. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 49.Ye X, Weinberg RA. Epithelial-mesenchymal plasticity: A central regulator of cancer progression. Trends Cell Biol. 2015;25:675–686. doi: 10.1016/j.tcb.2015.07.012. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 50.Oda K, et al. PIK3CA cooperates with other phosphatidylinositol 3′-kinase pathway mutations to effect oncogenic transformation. Cancer Res. 2008;68:8127–8136. doi: 10.1158/0008-5472.CAN-08-0755. [DOI] [PubMed] [Google Scholar]
- 51.Papapetrou EP. Patient-derived induced pluripotent stem cells in cancer research and precision oncology. Nat Med. 2016;22:1392–1401. doi: 10.1038/nm.4238. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 52.Kiselev VY, et al. Perturbations of PIP3 signalling trigger a global remodelling of mRNA landscape and reveal a transcriptional feedback loop. Nucleic Acids Res. 2015;43:9663–9679. doi: 10.1093/nar/gkv1015. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 53.Hart JR, et al. The butterfly effect in cancer: A single base mutation can remodel the cell. Proc Natl Acad Sci USA. 2015;112:1131–1136. doi: 10.1073/pnas.1424012112. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 54.Theunissen TW, Jaenisch R. Mechanisms of gene regulation in human embryos and pluripotent stem cells. Development. 2017;144:4496–4509. doi: 10.1242/dev.157404. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 55.Singh AM, et al. Signaling network crosstalk in human pluripotent cells: A Smad2/3-regulated switch that controls the balance between self-renewal and differentiation. Cell Stem Cell. 2012;10:312–326. doi: 10.1016/j.stem.2012.01.014. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 56.Watanabe S, et al. Activation of Akt signaling is sufficient to maintain pluripotency in mouse and primate embryonic stem cells. Oncogene. 2006;25:2697–2707. doi: 10.1038/sj.onc.1209307. [DOI] [PubMed] [Google Scholar]
- 57.Di Cristofano A, Pesce B, Cordon-Cardo C, Pandolfi PP. Pten is essential for embryonic development and tumour suppression. Nat Genet. 1998;19:348–355. doi: 10.1038/1235. [DOI] [PubMed] [Google Scholar]
- 58.Alva JA, Lee GE, Escobar EE, Pyle AD. Phosphatase and tensin homolog regulates the pluripotent state and lineage fate choice in human embryonic stem cells. Stem Cells. 2011;29:1952–1962. doi: 10.1002/stem.748. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 59.Vallier L, et al. Activin/Nodal signalling maintains pluripotency by controlling Nanog expression. Development. 2009;136:1339–1349. doi: 10.1242/dev.033951. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 60.Storm MP, et al. Regulation of Nanog expression by phosphoinositide 3-kinase-dependent signaling in murine embryonic stem cells. J Biol Chem. 2007;282:6265–6273. doi: 10.1074/jbc.M610906200. [DOI] [PubMed] [Google Scholar]
- 61.Xu RH, et al. NANOG is a direct target of TGFbeta/activin-mediated SMAD signaling in human ESCs. Cell Stem Cell. 2008;3:196–206. doi: 10.1016/j.stem.2008.07.001. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 62.Venot Q, et al. Targeted therapy in patients with PIK3CA-related overgrowth syndrome. Nature. 2018;558:540–546. doi: 10.1038/s41586-018-0217-9. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 63.Mueller S, et al. Evolutionary routes and KRAS dosage define pancreatic cancer phenotypes. Nature. 2018;554:62–68. doi: 10.1038/nature25459. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 64.Burgess MR, et al. KRAS allelic imbalance enhances fitness and modulates MAP kinase dependence in cancer. Cell. 2017;168:817–829.e15. doi: 10.1016/j.cell.2017.01.020. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 65.Bielski CM, et al. Widespread selection for oncogenic mutant allele imbalance in cancer. Cancer Cell. 2018;34:852–862.e4. doi: 10.1016/j.ccell.2018.10.003. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 66.Hyman DM, et al. AKT inhibition in solid tumors with AKT1 mutations. J Clin Oncol. 2017;35:2251–2259. doi: 10.1200/JCO.2017.73.0143. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 67.Kreitzer FR, et al. A robust method to derive functional neural crest cells from human pluripotent stem cells. Am J Stem Cells. 2013;2:119–131. [PMC free article] [PubMed] [Google Scholar]
- 68.Arbab M, Srinivasan S, Hashimoto T, Geijsen N, Sherwood RI. Cloning-free CRISPR. Stem Cell Reports. 2015;5:908–917. doi: 10.1016/j.stemcr.2015.09.022. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 69.Miyaoka Y, et al. Isolation of single-base genome-edited human iPS cells without antibiotic selection. Nat Methods. 2014;11:291–293. doi: 10.1038/nmeth.2840. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 70.Martí M, et al. Characterization of pluripotent stem cells. Nat Protoc. 2013;8:223–253. doi: 10.1038/nprot.2012.154. [DOI] [PubMed] [Google Scholar]
- 71.Dobin A, et al. STAR: Ultrafast universal RNA-seq aligner. Bioinformatics. 2013;29:15–21. doi: 10.1093/bioinformatics/bts635. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 72.Ritchie ME, et al. Limma powers differential expression analyses for RNA-sequencing and microarray studies. Nucleic Acids Res. 2015;43:e47. doi: 10.1093/nar/gkv007. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 73.Koboldt DC, et al. VarScan 2: Somatic mutation and copy number alteration discovery in cancer by exome sequencing. Genome Res. 2012;22:568–576. doi: 10.1101/gr.129684.111. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 74.Cibulskis K, et al. Sensitive detection of somatic point mutations in impure and heterogeneous cancer samples. Nat Biotechnol. 2013;31:213–219. doi: 10.1038/nbt.2514. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 75.Wang K, Li M, Hakonarson H. ANNOVAR: Functional annotation of genetic variants from high-throughput sequencing data. Nucleic Acids Res. 2010;38:e164. doi: 10.1093/nar/gkq603. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 76.Van Loo P, et al. Allele-specific copy number analysis of tumors. Proc Natl Acad Sci USA. 2010;107:16910–16915. doi: 10.1073/pnas.1009843107. [DOI] [PMC free article] [PubMed] [Google Scholar]
Associated Data
This section collects any data citations, data availability statements, or supplementary materials included in this article.