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. 2021 Mar 13;24(4):102306. doi: 10.1016/j.isci.2021.102306

Drosophila RASopathy models identify disease subtype differences and biomarkers of drug efficacy

Tirtha K Das 1,2, Jared Gatto 1,2, Rupa Mirmira 1, Ethan Hourizadeh 1, Dalia Kaufman 2, Bruce D Gelb 2,, Ross Cagan 1,3,4,∗∗
PMCID: PMC8026909  PMID: 33855281

Summary

RASopathies represent a family of mostly autosomal dominant diseases that are caused by missense variants in the rat sarcoma viral oncogene/mitogen activated protein kinase (RAS/MAPK) pathway including KRAS, NRAS, BRAF, RAF1, and SHP2. These variants are associated with overlapping but distinct phenotypes that affect the heart, craniofacial, skeletal, lymphatic, and nervous systems. Here, we report an analysis of 13 Drosophila transgenic lines, each expressing a different human RASopathy isoform. Similar to their human counterparts, each Drosophila line displayed common aspects but also important differences including distinct signaling pathways such as the Hippo and SAPK/JNK signaling networks. We identified multiple classes of clinically relevant drugs—including statins and histone deacetylase inhibitors—that improved viability across most RASopathy lines; in contrast, several canonical RAS pathway inhibitors proved less broadly effective. Overall, our study compares and contrasts a large number of RASopathy-associated variants including their therapeutic responses.

Subject areas: Biological Sciences, Physiology, Molecular Biology, Cell Biology

Graphical abstract

graphic file with name fx1.jpg

Highlights

  • Patients with RASopathy present with variable symptoms and have poor therapeutic options

  • We established 13 Drosophila models, each expressing a human RASopathy variant

  • Models displayed variability in deregulated pathways, mirroring human heterogeneity

  • Screening identified drug classes broadly active across RASopathy subtypes


Biological Sciences; Physiology; Molecular Biology; Cell Biology

Introduction

RASopathies are a family of Mendelian diseases defined by germline variants that generally elevate activity of the RAS signaling pathway (Rauen, 2013; Jindal et al., 2015, 2017). RASopathy phenotypes are pleiomorphic with structural birth defects altering the cardiovascular, craniofacial, skeletal, lymphatic, and central nervous systems in addition to postnatal short stature and developmental delays. Found in perhaps 1:1000 new births, RASopathies are associated with variants in genes encoding multiple RAS pathway components including KRAS, NRAS, BRAF, RAF1, and SHP2. SHP2, encoded by the gene PTPN11, is a cytosolic protein that belongs to the protein tyrosine phosphatase superfamily. Following growth factor stimulation, SHP2 is recruited to the intracellular domain of receptor tyrosine kinases (RTKs) to activate the rat sarcoma viral oncogene (RAS)/RAF/mitogen activated protein kinase (MAPK) signal transduction pathway (Liu and Qu, 2011). Regarding RAS pathway inhibitors as therapies, a recent publication reported some success with trametinib for infants with RIT1-associated Noonan syndrome (NS) with severe hypertrophic cardiomyopathy (Andelfinger et al., 2019). Overall, however, most patients with RASopathy have limited therapeutic options.

One of the challenges in understanding and developing therapeutics for patients with RASopathy is the heterogeneity associated with different mutational variants (Rauen, 2013). NS, NS with multiple lentigines (NSML), and NS-like syndromes are associated with variants in multiple genes including PTPN11, KRAS, NRAS, and RAF1. Costello syndrome is associated with variants in HRAS, while cardiofaciocutaneous syndrome is associated with variants in BRAF, MEK1, MEK2, and KRAS. These differences are associated with important differences in disease presentation (Rauen, 2013). For example, regarding heart defects, approximately 20% of patients with NS report hypertrophic cardiomyopathy (HCM), a number that increases to 80–90% in patients with NSML; young infants with NS-associated HCM have a one-year survival rate of only 34% (Wilkinson et al., 2012). Genotype-phenotype correlations also exist at the gene level: patients with NS due to RAF1 variants show high prevalence of HCM while PTPN11 variants are negatively associated with HCM (Tartaglia et al., 2002; Pandit et al., 2007).

We currently have a poor understanding of the mechanisms by which different RASopathy-associated variants—each directing elevated RAS pathway activity—can lead to different patient outcomes. A systematic animal model comparison across a large cross section of the different RASopathy variants has not been performed: rare Mendelian diseases can prove challenging for targeting specific disease isoforms in clinical trials, and identifying common therapeutic strategies across variants can help address this issue. Further, treatments will need to be well tolerated for extended periods of time, emphasizing a key advantage of whole animal models.

Here, we develop and characterize 13 Drosophila RASopathy models, developing a platform that takes a broad, whole animal approach to exploring the signaling differences and therapeutic responses between RASopathy isoforms. Expressing human transgenes in Drosophila epithelia, we demonstrate significant whole animal signaling differences between RASopathy-associated genes and also between models containing variants within the same gene. These differences include tissue-specific phenotypes as well as activation of different signaling networks within the same tissue. Further, we find that both activating and inactivating mutations in RAF1 and PTPN11 can lead to overall RAS pathway activation in at least some contexts, mirroring their overlapping phenotypes in humans; we further demonstrate that inactivating mutations can act to elevate RAS pathway signaling in at least some contexts. Finally, we observe significant differences in response to clinical drugs that inhibit diverse cellular targets as well as tool compounds that inhibit components of the mitogen-activated protein kinase (MAPK) pathway. Overall, these results emphasize differences between disease isoforms that may impact disease progression as well as therapeutics. Nevertheless, we demonstrate at least two classes of drugs that provide broad therapeutic benefits across different RASopathy models, suggesting they have the potential to benefit a large cross section of patient classes in the clinic.

Results

Previous work reported Drosophila RASopathy models in which fly genes—altered to model human RASopathy disease isoforms—were expressed in multiple tissue types (Oishi et al., 2006, 2009; Cordeddu et al., 2015). The resulting phenotypes generally emulated RAS gain-of-function phenotypes. In this study, we generate 13 Drosophila RASopathy models. Each line expresses a human transgene containing a commonly observed RASopathy variant; each transgene is under the control of a GAL4-inducible upstream activation sequence (UAS) promoter (Brand and Perrimon, 1993). We then used this set of 13 lines to explore how the different human transgenes directed similar or different fly phenotypes, altered cellular signaling networks, and responded to drugs. Signaling paradigms uncovered in select RASopathy models were further evaluated using genetic modifier tests. Figure 1A summarizes our approach.

Figure 1.

Figure 1

Drosophila RASopathy models

(A) A schematic of the approach, using Drosophila models that expressed different human RASopathy isoforms. Each isoform was induced in flies using different tissue-specific promoters and its effect on wing phenotype assessed (tissue phenotype). Flies were subjected to whole animal screening to identify optimal therapeutics for each model (drug screen). Differences in signaling among isoforms were assessed using Western blot analysis in the presence or absence of identified drug hits (signaling). For select models, pathways identified using this approach were functionally validated through genetic knockdown experiments. This integrated approach provided a broad overview of differences in signaling among isoforms and potential biomarkers of therapeutic efficacy.

(B) Quantitative viability assay. GAL4 levels progressively increase with increasing temperature, which results in increased transgene expression. The result was increasing lethality, allowing identification of optimal lethality conditions. Percent viability represents the number of pupae (P) or eclosed adults (A) after 12–14 days divided by the total number of embryos originally present in each experiment and is depicted as a heatmap. Percent viability color code is shown next to the heatmap. The different GAL4 drivers tested in this assay and their primary domain of expression are 765-GAL4 (entire wing), ptc-GAL4 (several tissues including the central portion of the wing), and byn-GAL4 (hindgut). Bracket highlights the optimal screening condition (765-GAL4 at 27°C) that was used for drug screening (Figure 3). This heatmap represents approximately 32,000 screened embryos.

(C) RASopathy-relevant genes define important aspects of the RAS pathway.

Establishing Drosophila RASopathy models

To generate a broad cross section of RASopathy models, we stably expressed inducible transgenes for 13 RASopathy-associated human gene isoforms in flies: six PTPN11 disease isoforms (Y279C, R498T, E510Q, D61G, N308D, E510P), three RAF1 disease isoforms (S257L, L613V, D486G), two BRAF isoforms (T531, Q257R), and single isoforms of KRAS (G12D) and HRAS (G12S). Different isoforms are associated with different RASopathies, perhaps reflecting different signaling properties. Of note, some variants act as inactivating mutations but still give rise to overlapping patient outcomes (Figure S1); this is consistent with previous studies that suggest these alleles can direct elevated pathway activity in a context-dependent fashion (e.g. (Oishi et al., 2006; Pandit et al., 2007; Machado et al., 2017; Li et al., 2018; Cope et al., 2020; Lorca et al., 2020; Lu et al., 2020)). Using standard transgenic technology (Venken and Bellen, 2012), each transgene was inserted into the same genomic site to reduce expression differences due to insertion site. Each transgene was fused to a UAS-based inducible promoter that is silent until a GAL4 “driver” is introduced. This system allows for both broad (tub-GAL4) and targeted expression including ptc-GAL4 (directs expression in discrete regions of the developing wing, leg, and eye imaginal epithelia), 765-GAL4 (entire developing wing epithelia), and byn-GAL4 (larval and adult hindgut). Higher ambient temperatures promote elevated GAL4 driver activity within the fly, a further step of controlling expression.

RASopathy variants induced abnormal phenotypes

RASopathies can have both broad and more targeted or mosaic impact throughout the patient's body (Hafner and Groesser, 2013). We therefore explored the effect of expressing the RASopathy isoforms in restricted groups of cells as well as more broadly across the wing epithelia.

To explore overall lethality as a quantitative measure, we crossed each line to three different GAL4 drivers (765-GAL4, ptc-GAL4, and byn-GAL4) at four temperatures (22, 25, 27, and 29°C; Figures 1B and S1). Survival was scored for pupariation and for adult eclosure, which provided a good framework for comparing phenotypes and also for the drug screens described below. Using a ptc-GAL4 driver based on the patched (ptc) promoter, the transgenes were targeted to a discrete region of the developing wing epithelium (“wing disc”). This discreet stripe within the developing epithelia gives rise to the adult wing tissue between longitudinal veins L3 and L4. Fly lines were examined at increasing temperatures to progressively elevate levels of ptc-GAL4 activity (Figure 1B). Increased expression of RAS- and RAF-expressing lines at higher temperatures—27°C and 29°C—led to lethality before adult stages. In contrast, the PTPN11-expressing lines survived to adulthood at these temperatures. Overall, the different transgenic lines showed significant variability with regard to lethality (Figures 1B and S1).

Focusing on specific disease isoforms, we found that ptc-GAL4-mediated expression of the activating mutant isoform RAF1L613V (ptc > RAFL613V) led to a substantial increase in wing vein material within the ptc expression domain (inter-vein region between L3 and L4). This effect was further enhanced at 25°C. Drosophila wing veins emerge at sites of high RAS pathway activity (Karim and Rubin, 1998), consistent with RAF1L613V acting as an activated isoform. In contrast, ptc > RAF1D486G—containing a variant in RAF1's DFG motif that controls kinase activity—led to mild but consistent loss of wing cross-veins within the ptc expression domain. This suggests that, in this context, RAF1D486G acts as a loss-of-function allele (however, see below). All PTPN11 lines except one (PTPN11D61G) altered wing vein material patterns outside of the ptc expression domain (Figures 2A; Figure S3). The strongest examples of this non-autonomous ectopic venation were observed in ptc > PTPN11R498W wings (Figure 2A).

Figure 2.

Figure 2

In vivo exploration of RAS pathway activity-wing venation

(A) Bright field images of adult fly wings in which RASopathy isoforms were overexpressed using the ptc-GAL4 driver. Control wing with dotted outline indicates the region within which the ptc-GAL4 driver is active. Upper panels: RAS/RAF isoform-expressing flies exhibited ectopic wing venation within the ptc domain. Lower panels: PTPN11 isoform-expressing flies exhibited ectopic wing venation in different parts of the wing but primarily outside the ptc domain. For (A) and (B), the temperature at which the transgene was induced is indicated in each panel; the black asterisk indicates ectopic veins and the red asterisk indicates suppression of normal wing veins. Figures S2–S5 summarize these experiments showing the range of phenotypes at 18°C, 22°C, 25°C, 27°C, and 29°C.

(B) Bright field images of adult fly wings in which RASopathy isoforms were induced using 765-GAL4 driver. Control wing with dotted outline showing the region where the 765-GAL4 driver is active. Upper panels: RAS/RAF isoform-expressing flies mostly exhibited ectopic wing venation; the exception was RAF1D486G, which suppressed wing vein formation (red asterisks). Lower panels: PTPN11 isoform-expressing flies exhibited ectopic wing venation in different parts of the wing. PTPN11 isoforms consistently induced a milder ectopic wing venation phenotype compared to the RAS/RAF isoforms. Bar in panel 2A represents 500 µM as indicated.

We next explored the consequences of expressing the transgenes more uniformly across the larval wing epithelium using a 765-GAL4 driver (Figure 2B; Figures S1B, S4, and S5). Again, increased expression of RAS/RAF isoforms at higher temperatures—27°C, 29°C—led to lethality prior to eclosion as adults. 765>KRASG12D and 765>BRAFW531C failed to survive even at lower temperatures, preventing analysis of their wing vein phenotypes. All PTPN11 lines survived until adulthood. 765>RAF1L613V exhibited a strong temperature-dependent increase in wing venation; 765>RAF1S257L and 765>HRASG12S lines exhibited a moderate increase in wing venation (25°C).

Effects on wing veins were not restricted to a specific region of the wing. 765>RAF1D486G, predicted to have loss of kinase activity, exhibited temperature-dependent suppression of wing veins in broad areas of the wing. By contrast, expression of the PTPN11 transgenes with a 765-GAL4 driver led to a very specific effect: an increase in cross-veins between the longitudinal veins (L1-L4), with the penetrance of this phenotype being fairly low. In summary, expression of RAS or RAF disease isoforms led to ectopic wing veins throughout the wing field. Expressing PTPN11 disease isoforms primarily drove ectopic wing cross-veins, suggesting a more cell type-specific effect of this class of RASopathy variants as has been reported in murine RASopathy models (Araki et al., 2004).

RASopathy models responded differentially to therapeutics

As with many Mendelian diseases, patients with RASopathy have limited therapeutic options. In our studies, we observed differences between the various RASopathy mutant isoforms with respect to their wing phenotypes. Here, we extend our studies to determine whether this heterogeneity of phenotypes extends to drug response. We screened a large panel of compounds that included U.S. Food and Drug Administration (FDA)-approved drugs as well as polypharmacological tool compounds co-developed in our laboratory.

To screen for therapeutics, we used a quantitative Drosophila survival assay we previously developed to model various human cancer paradigms (Dar et al., 2012; Das and Cagan, 2017; Das et al., 2018). We used our lethality screen (Figures 1B and S1A) to identify 27°C as the temperature that best yielded a minimal number of pupae or adults across all lines. This provided a large window for therapeutic rescue. We assessed a panel of 53 therapeutic compounds (Figure S6) including clinically approved RAS/MAPK pathway inhibitors (e.g., vemurafenib, axitinib), RTK inhibitors including inhibitors of RET (vandetanib, cabozantinib) and epidermal growth factor receptor (EGFR; erlotinib, lapatinib), SRC inhibitors, etc. We tested inhibitors targeting the proteasome, histone deacetylases (HDACs), and HSP90, which have shown promise as therapies in different RAS-dependent cancer paradigms. We also tested statins, which have been assessed in clinical trials (NCT02713945) on a small number of patients with RASopathy.

For the drug screen, we used the driver 765-GAL4 at 27°C. The ratio of the number of treated:untreated surviving pupae/adults (“% rescue”) was used to compare results across lines. Figure 3A provides a heatmap of our drug screening results. The response of each model to therapeutics proved unique, with unexpectedly limited overlap of drug efficacy across different models (Figures 3A–3C). The same panel of drugs were well tolerated by control flies at the tested doses (Figure S7).

Figure 3.

Figure 3

Heterogeneity in drug response by different RASopathy lines

(A) Heatmap depicting response of RASopathy models to a panel of indicated drugs and tool compounds. For each model, the heatmap indicates the ratio of the number of pupae surviving following treatment compared to no treatment controls. This is represented as percent change compared to control as shown in the adjacent key. As in the previous figure, viability is assessed as the mean of four replicates for each condition. Each model exhibited a unique pattern of responses to the panel of drugs tested. The AD57/AD80 and APS family of tool compounds were developed in-house as previously published (Dar et al., 2012; Sonoshita et al., 2018).

(B) Select top drug hits for each RASopathy model. Shown on the left are the RAS/RAF models and on the right the PTPN11 models. As in (A), the bars represent the ratio of the number of pupae surviving following treatment compared to no treatment controls, represented as percentage change compared to control. No treatment controls often have slightly different survival rates (as indicated by error bars in Figure S1A) and are therefore repeated for each batch of drugs tested (see Methods), providing more accurate estimates of drug rescue in different experiments. Note the unexpected rescue of RAF1D486G pupae by RAS pathway inhibitors AD80 and AD57 (see text).

(C) Table showing qualitative relative response of RASopathy model flies to statins and HDAC inhibitors. These two classes of compounds showed the broadest efficacy across the thirteen models tested. No single drug showed efficacy across all models. Statins showed better efficacy in RAS/RAF models compared to PTPN11 models, while HDAC inhibitors showed the opposite.

Statins affect cholesterol biosynthesis, which perturbs membrane localization of components of the RAS pathway. Three statins in our survey, atorvastatin, simvastatin, and fluvastatin, were active across the broadest palette of transgenic lines tested including members from both RAS/RAF and PTPN11 class of models. At least one statin was active for each RASopathy model. Simvastatin and fluvastatin showed the broadest efficacy, improving viability of RAF1S259A, RAF1D486G, BRAFW531C, PTPN11D61G, PTPN11Y279C flies (Figures 3A–3C).

Histone deacetylase inhibitors belong to a group of inhibitors that target various classes of HDACs (Duvic and Vu, 2007; Keller and Jung, 2014; Chun, 2015; Kaushik et al., 2015). HDAC inhibitors also showed fairly broad activity. The viability of KRASG12D flies was consistently improved by most HDAC inhibitors tested (vorinostat, entinostat, belinostat, RG2833). Viability of PTPN11D61G flies was improved by vorinostat, entinostat, belinostat, and CUDC-9073 treatment. Viability of RAF1S257L flies was improved by belinostat and CUDC-9073.

The AD and APS families of small molecule polypharmacological inhibitors target multiple kinases; they are especially potent RAS pathway inhibitors in cancer models (Dar et al., 2012; Sonoshita et al., 2018). These compounds were active against the PTPN11Q510E but not the PTPN11Q510P fly model, indicating a surprising specificity to a single amino acid change. We had previously described a polypharmacological class of drugs that targeted both cellular and lipid kinases (Dar et al., 2012). One member of that class, AD80, showed good activity and improved viability of multiple different models, including RAF1S257L and KRASG12D strongly and PTPN11R498W more modestly.

CDK4/6 inhibitor palbociclib improved the viability of 5/7 RAS/RAF flies: RAF1S257L, RAF1S259A, BRAFW531C, KRASG12D, and HRASG12S flies. Notably, palbociclib only increased viability of one PTPN11 fly model, PTPN11D61G, indicating specificity for the RAS/RAF models.

RAS/MAPK pathway inhibitors are another class of inhibitors that improved viability of some of the RASopathy models, primarily flies with the RAS/RAF variants. Trametinib improved viability of KRASG12D flies, vemurafenib rescued BRAFW531C and PTPN11D61G flies strongly and RAF1S257L, RAF1S259A more modestly. Interestingly, broadly acting RAS pathway inhibitors AD80 and AD57 (Dar et al., 2012) modestly rescued viability of RAF1D486G pupae, although our wing vein assay indicated that expressing RAF1D486G led to reduced RAS signaling in the wing. This complexity is consistent with previous work reporting reduced RAS activity in RAF1 isoforms that are, nevertheless, associated with NS (Pandit et al., 2007). It further points to the complex signaling networks found in RASopathies, presumably reflecting both tissue-specific differences and complex interactions with the full RAS signaling network.

The differential response of the RASopathy fly models to different classes of drugs indicated that these models could be activating different patterns of signaling pathways in vivo. We next looked at the pattern of signaling for each RASopathy model in developing fly tissues, in the presence or absence of the top candidate drugs identified in our screen.

Western blot analysis identified altered pathways

We recently published the use of an antibody panel to monitor multiple signaling pathways in both normal tissue and oncogenic models, including in the presence of therapeutics (Das and Cagan, 2017; Das et al., 2018). Here, we performed a similar, broader Western blot analysis by gathering lysates from whole developing larvae where RASopathy variants had been transiently induced. We induced the RASopathy isoforms broadly in tissues of the developing Drosophila larvae to more closely mimic the germline nature of these variants and the observed pleiotropic effects in multiple tissue types (Figure 4A; tubGAL4; GAL80ts > transgene). Our panel focused on pathways with known roles in human disease. By comparing activity levels for each signaling pathway, we assessed how each RASopathy isoform activates distinct signaling pathways in situ (Figures 4 and 5; Figure S8).

Figure 4.

Figure 4

Western pathway analyses of drug responses- RAS/RAF

(A) Flowchart depicting timeline to induce expression of RASopathy isoforms in developing Drosophila larvae followed by Western blot analysis. Embryos from flies were collected in a fixed time span (collection), and larvae were allowed to develop at 18°C until L3 stage (growth). At this temperature, transgene expression was not induced: basal expression of an included temperature-sensitive GAL80-variant (GAL80ts) inhibited GAL4-dependent UAS-transgene activation. After reaching L3 stage, the larvae were shifted to 27°C, which led to destabilization of GAL80ts protein and induced expression of the RASopathy encoding transgenes (induction). After a fixed time of induction, larvae were collected and whole-body lysates extracted for Western blot analysis.

(B) Western blot analysis of indicated RAF1 models. The first lane in this and subsequent panels represent lysates from w-control flies; dmso represents treatment with the solvent in the absence of drug. Drug doses represent the condition at which the drugs showed efficacy in the screens in Figure 4. All RAF1 models exhibited strong upregulation of pERK levels compared to control flies (lane 1; ~0); relative quantitation indicated below in red in this and subsequent panels. pJNK and pMEK levels were also increased by RAF1 isoforms (compare w- to dmso lanes). Hippo pathway activity markers pMOB and pLATS were differentially regulated by the RAF1 isoforms; drug treatments led to clear effects on these markers in most RAF1 lines tested. Downregulation of pMOBS and/or pLATS is predicted to promote cellular growth.

(C) Western blot analysis of KRASG12D and BRAFW531C isoforms. These isoforms induced strong upregulation of pERK and pMEK levels, moderate upregulation of pJNK levels, and differential regulation of Hippo pathway markers pMOBS and pLATS (compare w- to dmso lanes). Treatment with MEK inhibitor trametinib suppressed pERK upregulation by both isoforms. Both isoforms suppressed the growth inhibitory Hippo pathway marker pLATS, while most drug treatments upregulated pLATS.

(D) Western blot analysis of RAF1D486G and HRASG12S isoforms, which induced strong upregulation of pERK, pMEK, pJNK, pAKT (PI3K pathway), and pGSK3β (Wnt/Wg pathway) levels (compare w- to dmso lanes). Vorinostat and polypharmacological compound AD80 suppress levels of all these markers. pERK, pMEK, pJNK, pAKT, pMOBS, pLATS, and pGSK3β indicate phosphorylated forms of the proteins. Syntaxin, in this and subsequent panels, was used as one method of assessing loading control; see Methods for full description and Figure S6 for size markers.

Figure 5.

Figure 5

Western pathway analyses of drug responses- PTPN11

(A) Western blot analysis of indicated PTPN11 models, which had a mild effect on the MAPK pathway (also see Figure S8). All three isoforms induced almost two-fold upregulation of pEGFR levels; some drug treatments suppressed this induction. These isoforms showed differential regulation of growth inhibitory Hippo pathway marker pLATS and pMOBS. Notably, PTPN11N308D lines exhibited reduced levels of these markers while drug treatments reversed that effect and upregulated one or both markers.

(B) Western blot analysis of indicated PTPN11 models. These two isoforms consistently reduced levels of growth inhibitory Hippo pathway markers pLATS and pMOBS; drug treatments reversed that effect, leading to upregulation of one or both markers. See Figure S6 for size markers.

RAS/MAPK pathway

We first assessed the level of activation of a key marker of the MAPK pathway, phosphorylated extracellular signal-regulated kinase (pERK), to identify conditions in which most isoforms induce MAPK activity. All lines broadly expressing RAS/RAF isoforms exhibited a stable increase in levels of both pERK and pMEK (Figure 4). The PTPN11 lines proved more complex. Most PTPN11 lines displayed transient activation of pERK and basal levels of phosphorylated mitogen-activated protein kinase kinase (pMEK; Figures 5 and S8), consistent with previous work in mammalian models (Eminaga and Bennett, 2008; Zheng et al., 2018). Two lines—PTPN11Y279C, PTPN11Q510E—displayed higher levels of pMEK, indicating more complex regulation of MAPK activity in which pMEK and pERK do not mirror one another. This phenomenon has been reported in mammalian studies: recruitment of additional cofactors differentially altered phosphorylation levels of pERK vs. pMEK (Kuang et al., 2009; Lito et al., 2014; Ordan et al., 2018).

PTPN11Y279C, PTPN11Q510P lines displayed initial activation of pERK followed by suppression of pERK within 24 hr, suggesting negative feedback regulation, a well-described feature of the MAPK pathway (Shin et al., 2009; Fritsche-Guenther et al., 2011; Lake et al., 2016). Still, activation of the pERK signal was not consistently observed, presumably due to the negative feedback regulation of the MAPK pathway (Figure 5; Figure S8), which is another key point of difference with the RAS/RAF lines. The exception was PTPN11N308D, which activated pERK under all tested induction conditions with little or no observed negative feedback regulation of pERK, similar to the response of RAS/RAF isoforms (Figures 4 and 5; Figure S8).

In the course of these experiments, we identified one condition in which all PTPN11 isoforms showed upregulation of pERK levels above baseline, and we used this condition for all subsequent analyses (see Methods).

EGFR activation

EGFR was moderately activated (pEGFR) by both the RAS/RAF (RAF1S257L, RAF1D486G, HRASG12S) and PTPN11 (PTPN11N308D, PTPN11Q510E, PTPN11Q510E) transgenes.

JNK/SAPK pathway

The RAS/RAF and PTPN11 lines also displayed differences in their regulation of JNK pathway signaling. While 6/7 RAS/RAF lines (exempting HRASG12S) strongly increased pJNK levels above basal levels, 4/6 PTPN11 lines (exempting PTPN11N308D, PTPN11Q510E) decreased phosphorylated JNK (pJNK) levels. Previous studies including our own with oncogenic RTK, RAS/MAPK, and SRC components identified increased JNK activity as a key aspect of transformation in Drosophila tissues; this study extends these observations (Vidal et al., 2006; Das et al., 2013a, 2013b; Rudrapatna et al., 2014; Das and Cagan, 2017). Further, we provide evidence that multiple PTPN11 RASopathy lines regulate the JNK pathway in a distinct manner.

Hippo pathway

Using the pathway activity markers pMOB (pMats) and pLATS (pWts), we found that RAS/RAF lines had a complex spectrum of Hippo pathway activation. RAF1S259A increased levels of both markers. RAF1L613V, KRASG12D, and BRAFW531C increased pMOB but decreased pLATS. RAF1D486G and HRASG12S displayed basal levels of both markers. PTPN11 alleles displayed a different relationship to Hippo pathway activation. PTPN11D61G and PTPN11Y279C showed decreased levels of only pLATS; PTPN11R498W, PTPN11Q510E, and PTPN11Q510P showed decreased levels of pMOB. PTN11N308D displayed decreased levels of both markers. These data suggests complex regulation across the Hippo pathway by different isoforms (see Discussion).

Other pathways

Two RAS/RAF lines, RAF1D486G and HRASG12S, demonstrated significantly increased levels of pAKT and pGSK3, which were restrained by drugs that improved survival of these variants in our viability assays (Figure 4D). The PI3K-AKT signaling axis promotes growth, survival, invasion/metastasis and regulates energy homeostasis in vertebrate cells and in Drosophila (Witte et al., 2009; Dillon and Muller, 2010; Hirabayashi et al., 2013; Fruman et al., 2017). Deregulation of this pathway is associated with a variety of human diseases including cancer, diabetes, cardiovascular, and neurological diseases. AKT signaling affects components of other signaling pathways including upregulation of phosphorylated GSK3, which in turn leads to stabilization of β-catenin/Armadillo, a key Wnt pathway transcription factor (Hanahan and Weinberg, 2011; Valenta et al., 2012; Das et al., 2013a, 2013b; Beurel et al., 2015). Upregulation of these two interdependent markers is unique to RAF1D486G and HRASG12S, providing additional examples of how specific mutations can uniquely impact signaling networks that regulate cellular growth and homeostasis.

Western blot analysis highlighted biomarkers of drug efficacy

Using a targeted screen of clinically relevant drugs and compounds, we identified a small set that improved viability of our RASopathy lines (not shown). Given the heterogeneity of pathway activity across different RASopathy lines, we used our western blot analysis to explore the activity of effective drug candidates for each RASopathy model. Drugs were analyzed at two concentrations for their effects on our panel of protein markers. The vehicle dimethylsulfoxide (DMSO) alone was used as a control. Our analyses identified examples of both expected and unexpected mechanisms by which drugs promote viability of RASopathy variant-expressing Drosophila larvae.

Trametinib, AD80, and vorinostat efficacy correlated with reduced MAPK activation

The potent MEK inhibitor trametinib reduced levels of pERK protein in three of the RAS/RAF models (RAF1L613V, KRASG12D, BRAFW531C); reduction of MAPK activation correlated with improved viability (Figures 4B–4D). By contrast, RAF1S257L larvae treated with trametinib showed only moderate suppression of MAPK components pERK and pMEK (Figure 4B), despite improved viability.

The polypharmacological drug AD80 inhibits the RAS/MAPK pathway through inhibition of multiple targets including RAF kinases (Dar et al., 2012). Lysates from RAF1D486G larvae treated with AD80 showed a strong reduction of both pERK and pMEK levels. In contrast, KRASG12D larvae treated with AD80 showed moderate reduction of pERK and no effect on pMEK levels. This suggests that AD80 acts on these two lines through a somewhat different set of targets.

Treatment with vorinostat resulted in strong suppression of pERK levels (RAF1L613V and HRASG12S larvae) or moderate reduction of pERK and pMEK levels (KRASG12D and RAF1S259A larvae). Vorinostat is an HDAC inhibitor with a broad palette of identified targets including members of the RAS/MAPK pathway (e.g. Yu et al., 2003; Zhong et al., 2013). Its suppression of MAPK activation in multiple RASopathy models and its strong record of efficacy in patients indicate that vorinostat's ability to reduce RAS/MAPK signaling may prove useful therapeutically.

Statin efficacy correlated with reduced MAPK signaling and activation of the Hippo pathway

Inhibitors of the statin group of drugs improved viability in our screens for a large number of RASopathy models, suggesting potential broad utility. Regarding RAS/MAPK signaling, treatment with simvastatin reduced levels of pERK and pMEK in RAF1S259A larvae and pERK levels in RAF1D486G larvae. Interestingly, a similar effect on the RAS/MAPK pathway was not observed in RAF1L613V or BRAFW531C larvae. Instead, these lines exhibited strong upregulation of pLATS levels and moderate activity of pMOB, two markers for activation of the Hippo signaling pathway (Figures 4B–4D). Activation of Hippo pathway signaling is known to have several effects, most notably reduced cell proliferation and tissue size (Udan et al., 2003; Wu et al., 2003; Davis and Tapon, 2019).

Drug efficacy in PTPN11 models correlated with growth inhibitory activity of the Hippo pathway

Our Western blot analysis above indicated that the PTPN11 lines promoted only transient activation of the RAS/MAPK pathway but more consistent regulation of the SAPK/JNK and Hippo pathways. We, therefore, monitored the latter two pathways in PTPN11 larvae after treatment with drugs that increased viability (Figures 5A and 5B).

For drugs effective at increasing viability of PTPN11D61G (palbociclib, CUDC-973, pazopanib), PTPN11Y279C (vorinostat, simvastatin, vemurafenib), PTPN11N308D (belinostat, entinostat, vorinostat), or PTPN11Q510P (fluvastatin, SP610025, lapatinib) lines, efficacy correlated with upregulation of growth inhibitory markers of the Hippo pathway, pLATS and pMOBS (Figures 5A and 5B). For drugs that increased viability of PTPN11Q510E lines (fluvastatin, lapatinib, bortezomib), efficacy correlated with suppression of pJNK levels. These results are consistent with our pathway analyses highlighting a potential role for Hippo and SAPK/JNK activity in RASopathy defects. Linking our observation that pEGFR activity was increased in a subset of PTPN11 models—PTPN11N308D, PTPN11Q510P, PTPN11Q510E—we found that some successful therapeutics in these models restrained pEGFR activation (Figures 5A and 5B) including EGFR inhibitors like lapatinib (for PTPN11Q510E). In summary, drugs effective in the PTPN11 models represent a wide range of inhibitor classes, suggesting that EGFR, SAPK/JNK, and Hippo pathway markers serve as common surrogate markers of treatment efficacy.

Reducing HDAC1 in KRAS and RAF1 models phenocopied vorinostat treatment

In summary, our analyses identify key pathway biomarkers that may prove useful to monitor treatment efficacy in future studies. They emphasize, however, the challenge of identifying a single therapeutic that is effective against most RASopathy-associated variants. Notable exceptions include the HDAC inhibitor vorinostat as well as statins, which were effective at improving viability of both RAS/RAF and PTPN11 fly lines. Both classes of drugs have a wide range of clinical use in multiple disease paradigms, and the statins in particular are well tolerated over long periods of treatment.

To confirm that vorinostat's rescue activity was linked to HDAC inhibition, we reduced activity of the Drosophila HDAC1 ortholog Rpd3 in lines expressing KRASG12D and RAF1L613V throughout the developing wing. Expression of the RAF1L613V isoform displayed a temperature-dependent strengthening of the ectopic wing venation phenotype (Figure 2; Figures S1, S2, and S4). At 20°C, targeted RNA interference-mediated knockdown of Rpd3 in RAF1L613V lines (765>RAF1L613V, rpd3-RNAi) resulted in an increase of flies eclosing as adults (increase from 5% to 20%), as well as suppression of ectopic wing venation pattern (Figure 6A; also see Figures 2 and S4). At 25°C, knockdown of Rpd3 did not suppress ectopic wing venation, but there was a consistent enlargement of overall wing blade size in 765>RAF1L613V, rpd3-RNAi adults compared to 765>RAF1L613V flies (Figure S9A). Suppression of these different phenotypic effects by knockdown of Rpd3 establishes the histone deacetylase pathway as a regulator of RAF1L613V-mediated signaling.

Figure 6.

Figure 6

Genetic modifier experiments identify functional RASopathy pathways

(A) Genetic modifier experiments with lines expressing RAF1L613V demonstrated dependency on HDAC1. RAF1L613V was expressed throughout the developing larval wing disc using the 765-GAL4 driver under different temperature conditions (also see Figures 2 and S2). In 765>RAF1L613V flies, ectopic wing venation phenotypes were observed at 20°C, which was suppressed by RNAi-mediated knockdown of fly HDAC1 ortholog Rpd3 (rpd3-RNAi). The suppression of ectopic wing venation did not occur at 25°C with stronger induction of the isoform. Black asterisks highlight examples of ectopic veins.

(B) Genetic modifier experiments with KRASG12D isoform demonstrate dependency on HDAC1 activity. When 765>KRASG12D flies were raised at 20°C and 25°C, no adults eclosed. This developmental lethality was suppressed by co-expression of rpd3-RNAi; of note, the number of UAS transgenes is increased by one, which could affect expression levels. At 20°C 765>KRASG12D, rpd3-RNAi flies exhibited near-normal wing vein pattern, while at 25°C, the ectopic wing venation pattern was not suppressed, presumably due to stronger induction of the isoform. Bar in panel 6A represents 500 M as indicated.

(C) Summary of the pathway activation/signaling analysis of the different RASopathy models. Overall, RAS/RAF isoforms were significantly distinct from PTPN11 isoforms in their activation of the MAPK pathway. However more broadly, each RASopathy isoform displayed a unique profile of regulation of major cellular pathways as assessed by the indicated markers.

Furthermore at 20–25°C, none of the 765>KRASG12D flies survived to adult stages (Figure 2; Figures S1, S4, and S5). At 20°C, knockdown of Rpd3 improved survival and resulted in 25% viable adult flies eclosing with normal wing veins (Figure 6B; Figure S9B). At 25°C, knockdown of Rpd3 (765>KRASG12D, rpd3-RNAi) also improved survival and led to 10% of 765>KRASG12D animals surviving to adulthood (Figure 6B). The wings of eclosed 765>KRASG12D, rpd3-RNAi adults, at 25°C, still displayed excess venation similar to other RAS/RAF models, indicating that Drosophila HDAC1 did not fully regulate all aspects of RAS pathway activity leading to vein formation. Taken together with our drug screen, it indicates that in KRASG12D-expressing models, vorinostat is more effective on pathways that regulate survival vs. wing venation. In summary, these genetic knockdown experiments indicated that HDAC proteins normally function to promote KRASG12D and RAF1L613V activity in Drosophila.

Discussion

Since the first clinical identification of patients with RASopathy (Noonan and Nadas, 1958), a large effort has gone toward further defining and expanding the repertoire of genetic mutations associated with this syndrome. Identifying the genes responsible for NS (Tartaglia et al., 2001) and establishing that these genetic variants were known from their impact on cancer (Tartaglia and Gelb, 2005, 2010) were key to begin exploring the molecular mechanisms underlying the disease. Development of RASopathy animal models has provided important functional insights in the etiology of craniofacial, cardiac, and other developmental abnormalities associated with the disease (Jindal et al., 2015; Hernández-Porras and Guerra, 2017; Patterson and Burdine, 2020). These models have provided important molecular insights, for example, that both gain of function and loss of function of different genes could lead to similar phenotypic outcomes (Stewart et al., 2010; Bonetti et al., 2014; Patterson and Burdine, 2020). Taken together, animal models have contributed immensely to our understanding of specific genetic variants and the underlying molecular mechanisms associated with RASopathy disease progression (Jindal et al., 2015).

Here, we provide a complement to these earlier studies: a systematic, side-by-side comparison of 13 RASopathy variants in a whole animal setting to explore similarities and differences in biology, signaling, and response to candidate therapeutics. Expressing human RASopathy isoforms of KRAS, HRAS, RAF1, BRAF, and PTPN11 in Drosophila, we report important differences between disease isoforms including distinct signaling pathways and drug responses (Figures 4C and 6C). The differential regulation of pMOB vs pLATS in the various lines provides an instructive example. LATS is the key kinase that regulates phosphorylation and subsequent nuclear translocation of the downstream nuclear factor YAP/TAZ, a process that keeps cellular growth in check. MOB is an adapter protein that regulates assembly of two branches of the Hippo pathway: the LATS complex and the NDR1/2 complex (Bichsel et al., 2004; Hergovich et al., 2005; Hergovich et al., 2006). Thus, pMOB levels are a dynamic readout of the activity of these two branches of the Hippo pathway (Kulaberoglu et al., 2017). Reduced levels of pLATS, a core component of the MST-LATS signaling cascade, are predicted to promote cellular growth, a pro-tumorigenic outcome. Indeed, genetic screens in vertebrate cells have shown that the RTK/RAS/MAPK pathway can act directly on LATS and YAP/TAZ phosphorylation status (Azad et al., 2020); increased levels of pMOB would indicate an activation of NDR1/2 pathway independent of the pLATS branch. This mechanism may explain the differential regulation of pMOB vs. pLATS that has emerged in our studies.

Matching drug response to disease isoform was a key goal of our work. For example, we demonstrated differences in steady-state RAS pathway signaling between PTPN11 models and RAS/RAF models; these differences presumably underpin differences in drug response. Despite these differences, we identified HDAC inhibitors and statins as demonstrating efficacy across multiple disease isoforms including KRAS, HRAS, RAF1, BRAF, and PTPN11. Our genetic studies indicate that, at least for HDAC inhibitors, this suppression of whole-body defects is on target. Together, these data emphasize the complexity between RASopathy isoforms but also provide a candidate roadmap to handle this complexity across disease subtypes. This, in turn, would allow more inclusive patient recruitment, an important advantage in rare Mendelian diseases.

Developing therapies for rare Mendelian diseases presents several challenges. Developmental abnormalities resulting from a RASopathy may not be fully reversed or rectified through therapy. Nevertheless, an important goal can be to broadly suppress aberrant signaling in the patient's tissues, which in turn may provide measurable clinical and quality of life benefits. Chronic treatment of patients, especially young children, has whole-body risks including further damage to developing systems. For early-onset diseases such as RASopathies, chronic therapies are required that slow disease progression while protecting normal postnatal development. We address this challenge by emphasizing whole-animal screening of our Drosophila RASopathy models. Whole-animal screening often identifies hits that are different than those found in in vitro, in silico, or in cell line assays. HDAC inhibitors provide a useful example: they have broad effects across cellular networks but reduced RASopathy-associated phenotypes across most of our RASopathy models. The result was improved viability and reduced RAS pathway activity.

From a practical standpoint, the small number of patients with RASopathy that have a specific gene variant makes recruitment for clinical trials difficult. Although one of the more common Mendelian diseases, RASopathies as a class have proven difficult to execute clinical trials in part for this reason. One solution is to identify a set of biomarkers for assessing efficacy of candidate treatments as well as disease progression; our platform matches mutations to phenotypic severity and to drug response. A second approach is to identify therapies that are effective across a broad palette of RASopathy variants, a key goal of this study. Our data point to HDAC inhibitors and statins as candidates to fulfill this criterion: as a class of drugs, each showed efficacy across most of our models. In preclinical studies, HDAC inhibitors have shown initial promise in suppressing hypertrophic cardiomyopathy, a common source of morbidity and mortality in patients with RASopathy (Ferguson et al., 2013). HDAC inhibitors such as vorinostat and belinostat have previously been used in pre-clinical models to reduce RAS pathway signaling by multiple laboratories including our own, most commonly as part of a cancer drug combination (Morelli et al., 2012; Malone et al., 2017; Das et al., 2018; Yamada et al., 2018; He et al., 2019).

Statins collectively refer to a family of drugs that inhibit a key enzyme of the lipid biosynthesis pathway, HMG-CoA reductase, and are commonly used to lower the risk of heart failure by preventing myocardial infarction. In addition, pre-clinical data have demonstrated that statins reduce prenylation, a required step in localization and activity of RAS proteins. Statins have therefore been explored in various human disease paradigms that involve deregulation of RAS/MAPK and related signaling axes (Youssef et al., 2002; Davies et al., 2016; Yang et al., 2020). Importantly, we found that, for some RASopathy variants, the efficacy of some drugs including statins correlated with suppression of pathways outside the canonical RAS pathway. Examples include the Hippo and JNK pathways. These observations open the possibility that signaling networks outside the canonical RAS pathway may prove useful as therapeutic targets in specific disease variants. This mirrors work in a preclinical PTPN11D61Y mouse model, which showed similar activation of pathways outside of RAS including PI3K/AKT/mTOR and JAK/STAT signaling (Altmüller et al., 2017). More recently, work on a rare RASopathy variant in the RRAS2 gene reported dysregulation of the Hippo pathway (Nussinov et al., 2018; Capri et al., 2019). Future studies can dissect whether other RASopathy variants can regulate other non-RAS/MAPK pathway networks.

In summary, our results demonstrate important differences in signaling between different RASopathy-associated variants. With the caveat that we expressed human transgenes in a Drosophila platform, each RASopathy variant showed important differences in cellular signaling pathways, presumably accounting for unique phenotypic signatures including drug response. These differences mirror the broad range of morbidities presented by patients with RASopathy. Despite these differences, our data highlight HDAC inhibitors and statins as having the ability in at least one pre-clinical model to have broader therapeutic impact. These classes of drugs have strong clinical histories including for extended use, making them interesting candidates for further exploration in mammalian models.

Limitations of the study

Data in this study are derived from Drosophila transgenic lines that provide an incomplete modeling of the human disease.

Resources availability

Lead contact

Further information and requests for resources and reagents should be directed to and will be fulfilled by the lead contact, Ross Cagan (ross.cagan@glasgow.ac.uk)

Materials availability

All Drosophila lines generated in this study are available upon request.

Data and code availability

All data and accession numbers needed to evaluate the conclusions in the paper are present in the paper and/or the Supplemental Materials. Additional data related to this paper may be requested from the authors.

Methods

All methods can be found in the accompanying Transparent methods supplemental file.

Acknowledgments

We thank the Cagan Laboratory for important discussions and Sasha Naunton, Crystal Liang, and Anjali Pabey for fly husbandry and maintenance and help with phenotype characterization. This work was supported by National Institutes of Health grants NIH-U54OD020353, NIH-R35HL135742.

Author contributions

Conceptualization, T.D., B.G., and R.C.; investigation, T.D., J.G., R.M., E.H., and D.K.; formal analysis, T.D., B.G., and R.C.; writing, T.D., B.G., and R.C.; project administration, T.D., B.G., and R.C.; funding acquisition, B.G. and R.C.

Declaration of interests

B.G. declares royalties from GeneDx, Correlegan, LabCorp, and Prevention Genetics. B.G. is a named inventor on issued patents related to PTPN11, SHOC2, RAF1, and SOS1 mutations in Noonan syndrome. The Icahn School of Medicine at Mount Sinai licensed the patent to several diagnostics companies and has received royalty payments, some of which are distributed to B.G. B.G. and R.C. are principal investigators for a sponsored research agreement from Onconova.

Published: April 23, 2021

Footnotes

Supplemental information can be found online at https://doi.org/10.1016/j.isci.2021.102306.

Contributor Information

Bruce D. Gelb, Email: bruce.gelb@mssm.edu.

Ross Cagan, Email: ross.cagan@glasgow.ac.uk.

Supplemental information

Document S1. Transparent methods and Figures S1–S10
mmc1.pdf (3.8MB, pdf)

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Supplementary Materials

Document S1. Transparent methods and Figures S1–S10
mmc1.pdf (3.8MB, pdf)

Data Availability Statement

All data and accession numbers needed to evaluate the conclusions in the paper are present in the paper and/or the Supplemental Materials. Additional data related to this paper may be requested from the authors.


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