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University of Groningen Molecular analysis and biological implications of STAT3 signal transduction Schuringa, Jan Jacob IMPORTANT NOTE: You are advised to consult the publisher's version (publisher's PDF) if you wish to cite from it. Please check the document version below. Document Version Publisher's PDF, also known as Version of record Publication date: 2001 Link to publication in University of Groningen/UMCG research database Citation for published version (APA): Schuringa, J-J. (2001). Molecular analysis and biological implications of STAT3 signal transduction Groningen: s.n. Copyright Other than for strictly personal use, it is not permitted to download or to forward/distribute the text or part of it without the consent of the author(s) and/or copyright holder(s), unless the work is under an open content license (like Creative Commons). Take-down policy If you believe that this document breaches copyright please contact us providing details, and we will remove access to the work immediately and investigate your claim. Downloaded from the University of Groningen/UMCG research database (Pure): http://www.rug.nl/research/portal. For technical reasons the number of authors shown on this cover page is limited to 10 maximum. Download date: 17-06-2017 Chapter 9 SUMMARY, DISCUSSION and FUTURE PERSPECTIVES Jan-Jacob Schuringa1,2, Edo Vellenga2, and Wiebe Kruijer1 1 2 Biological Center, Department of Genetics, Haren, and University Hospital Groningen, Department of Hematology, Groningen, The Netherlands. 124 Chapter 9 Introduction Since the discovery of the STAT family of transcription factors in the early 90’s, research has focussed on the roles of STATs in a variety of biological processes as well as on the molecular mechanisms that are involved in STAT activation. Although a detailed description on how cytokines and growth factors utilize STAT signaling pathways to elicit biological responses is now available, many questions remain concerning the specificity and fine tuning of signals that challenge cells. Also, the causal relationship between disturbed STAT signaling and the malignant progression of human cancers is only beginning to become unraveled. The work described in this thesis focussed both on the molecular mechanisms that are involved in IL-6-induced STAT3 signal transduction, as well as on some of the biological functions of STAT3, including STAT3 signaling in early embryonic carinoma cells. Closely related issues concern the role of STAT3 in oncogenesis, which was studied in detail in acute myeloid leukemia as well as in cells that express the MEN2A oncogene. 1. The signal transduction cascade involved in IL-6-induced STAT3 ser727 phosphorylation: kinetics and specificity Although STAT tyrosine phosphorylation is the first critical event in ligand-induced STAT activation, which allows STAT dimerization, translocation the nucleus and binding of response elements in target gene promoters, STAT3 serine phosphorylation is a second event that critically regulates STAT activity (reviewed in [63]). Except for STAT2 and STAT6, all other STATs contain serine residues that become phosphorylated in a stimulus-regulated manner [1,61-63]. This second phosphorylation event provides the possibility to modulate and fine-tune STAT signal transduction and might introduce specificity in the effects that cytokines and growth factors have on cells. Figure 1 describes a model for IL-6-induced STAT3 tyr705 and ser727 phosphorylation in HepG2 cells (Chapters 2 and 3). IL-6 initiates signaling by associating with its ligandbinding receptor (IL-6R), which allows dimerization of the gp130 receptor components. The gp130 associated JAK kinases transphosphorylate tyrosine residues 767, 814, 905 and 915 that form docking sites for STAT3 once phosphorylated. Association of STAT3 with the gp130 receptor enables JAK-mediated STAT3 tyr705 phosphorylation. In HepG2 cells, this occurs with rather quick kinetics: within 2 min upon IL-6 stimulation maximal levels of STAT3 tyr705 phosphorylation were observed (Chapter 3). Once phosphorylated on tyr705, STAT3 dimerizes via reciprocal interactions between the SH2 domains that enable nuclear translocation. This fast nuclear import process was also demonstrated by immunofluorescence microscopy studies revealing that STAT3 cytoplasmic-nuclear translocation occurs within 5 min upon IL-6 stimulation (Fig.2, see also Chapter 3). IL-6-induced STAT3 ser727 phosphorylation involves the sequential activation of Vav, Rac-1, MEKK, SEK-1/MKK-4 and PKCδ. The guanine nucleotide exchange factor Vav is associated with the membrane-distal region of the gp130 receptor and becomes phosphorylated on tyrosine residue(s) upon IL-6 stimulation (Chapter 2, [34]). Within 5 min, Vav associates with the small GTPase Rac-1, and probably regulates GDP-GTP exchange on Rac-1 [223], thus leaving it in the activated conformation. The kinetics of IL6-induced Vav tyrosine phosphorylation correlate with the kinetics of dissociation of the Summary, Discussion and Future perspectives 125 Vav-Rac-1 complex, suggesting that tyrosine phosphorylation of Vav is not a prerequisite for Vav-mediated Rac-1 activation but rather plays a role in the dissociation process, although mechanistic explanations for this model are still lacking. Upon activation, Rac-1 initiates a signal transduction cascade that is comprised of the MAP kinase kinase kinase MEKK-1, the MAP kinase kinase SEK-1/MKK-4 and PKCδ. IL-6 induces a transient activation of SEK-1/MKK-4 as determined by phosphorylation of the residue Thr223 within 5 min, which reached maximal levels at 10 min upon IL-6 stimulation (Chapter 2). In unstimulated cells, SEK-1/MKK-4 is present as a complex with PKCδ, and upon IL-6 stimulation PKCδ dissociates from SEK-1/MKK-4 within 10-15 min. Presumably, SEK1/MKK-4 phosphorylates PKCδ on Thr505, which then translocates to the nucleus. Figure 1. Proposed model for IL-6-induced STAT3 ser727 phosphorylation. Phosphorylated PKCδ was only found in the nucleus reaching maximal phosphorylation levels at 5-10 min upon IL-6 stimulation, suggesting that PKCδ nuclear translocation is a rather quick event. At timepoint 15 min, PKCδ associates with STAT3 and phosphorylates STAT3 on ser727. STAT3 ser727 phosphorylation reaches maximal levels after 15 min. 126 Chapter 9 Importantly, STAT3 ser727 phosphorylation was was only detected in the nuclear fractions and was absent from the cytoplasmic fractions. Taken together, these results suggest that IL-6-induced STAT3 ser727 phosphorylation is a nuclear event, particularly since STAT3 nuclear translocation occurs within 5 min upon IL-6 stimulation and precedes STAT3 ser727 phosphorylation. In agreement with our data, Jain et al. have described that PKCδ is directly involved in IL6-induced STAT3 ser727 phosphorylation [243]. In contrast, they report that STAT3PKCδ associations occur mainly in the cytoplasm. In immunoprecipitation studies from IL-6-stimulated nuclear fractions of HepG2 cells, no nuclear PKCδ was detected, whereas we find a significant amount of PKCδ in total nuclear fractions of HepG2 cells (chapter 3). Possibly, due to a lack of detectable immunoprecipitated PKCδ from nuclear fractions they were not able to observe a nuclear PKCδ-STAT3 association. Furthermore, they indicate that STAT3 tyr705 phosphorylation appears to be a prerequisite for PKCδmediated STAT3 ser727 phosphorylation, particularly since stimulation with PMA, which is a very potent activator of PKCδ and does not induce STAT3 tyr705 phosphorylation, does not result in association of PKCδ with STAT3 [243]. Since we find that practically all tyrosine phosphorylated STAT3 is present in the nucleus within 5 min upon IL-6 stimulation, these data suggest that IL-6-induced STAT3 ser727 phosphorylation is a nuclear event. We can exclude the possibility that the ERK signal transduction cascade is involved in IL6-induced STAT3 ser727 phosphorylation in HepG2 cells since inhibition at various levels of this signaling cascade did not interfere with IL-6-induced STAT3 ser727 phosphorylation (Chapter 2). Also, PI-3K or Src activity is not required since inhibition of the kinase activity of these molecules by treating cells with the chemical inhibitors wortmannin and PP2A, respectively did not reduce IL-6-induced STAT3 ser727 phosphorylation. Inhibition of p38 kinase activity by using the inhibitor SB203580 also did not interfere with IL-6-induced STAT3 ser727 phosphorylation, but rather enhanced both ser727 phosphorylation as well as STAT3 transactivation (Chapter 2). Since LPS and TNFα induce SOCS-3 expression via the p38 pathway [136], we speculated that a similar mechanism might be involved in IL-6 signaling as well. Inhibition of p38 kinase activity would then prevent the IL-6-induced upregulation of SOCS-3, which would allow an increase in STAT3-mediated gene transcription. However, IL-6 still induced SOCS-1 and SOCS-3 RNA in the presence of SB203580 to similar levels and with similar kinetics as compared to untreated cells (data not shown), indicating the p38 kinase activity is not required for the IL-6-induced upregulation of SOCS proteins. Possibly, p38 is required to activate a (nuclear) phosphatase in order to downregulate STAT3 signal transduction. Further experiments are required to resolve this issue. It is somewhat peculiar that the MAP kinase JNK is not involved in IL-6-induced STAT3 ser727 phosphorylation in HepG2 cells. In many cases, JNK-1 is the end-point kinase of the Rac-MEKK-SEK-1 signal transduction cascade. Although it has been demonstrated that JNK-1 is the kinase that phosphorylates STAT3 on ser727 in response to stress stimuli such as UV and Anisomycin [83], we can exclude the possibility that JNK-1 phosphorylates STAT3 in response to IL-6 based on the following observations: (i) JNK-1 is not activated in response to IL-6 stimulation (Chapter 2 and 3); (ii) JNK-1 is not nuclear-translocated in response to IL-6 (Chapter 2); (iii) no association between SEK1/MKK-4 and JNK-1 was detected in mammalian two hybrid assays (Chapter 3); (iv) no IL-6-induced JNK-1 association with STAT3 was observed in immuno-precipitation Summary, Discussion and Future perspectives 127 Figure 2. Kinetics of IL-6-induced STAT3 nuclear translocation. In unstimulated cells (0 min), STAT3 is distributed over the cytoplasm and the nucleus. Upon stimulation, STAT3 translocates to the nucleus within 5 min. After 60 min of IL-6 stimulation, STAT3 is relocated to the cytoplasm. 128 Chapter 9 studies (data not shown). Thus, we conclude that JNK-1 is not involved in IL-6-induced STAT3 ser727 phosphorylation. PKCδ is the end-point kinase of the Rac-MEKK-SEK-1 signal transduction cascade and phosphorylates STAT3 on the ser727 residue in response to IL-6. It is plausible that JNK-1 and PKCδ are anchored in different signal transduction protein complexes and that these complexes are activated in a strictly ligand-dependent manner. Recently, two groups of proteins have been identified which might function as scaffold-proteins for the JNK-1 signal transduction cascade, the JNK-1 Interacting Proteins (JIP) and JNK/Stress-activated protein kinase-Associated Proteins (JSAP) [343,344]. These putative scaffold proteins interact with specific members of the JNK signal transduction cascade, including isoforms of the MAP kinase kinase kinases MEKK1, -2, -3 and -4, the MAP kinase kinases SEK-1/MKK-4 and MKK-7, and the MAP kinases JNK-1, -2 and –3. It appears that these scaffold proteins only interact with a specific subset of isoforms of the JNK signal transduction cascade, and that these proteins selectively enhance the activation of signaling pathways by forming an anchor for the specific proteins. Thus, scaffold proteins will contribute to the specificity of numerous distinct signaling pathways in cells. The fact that these scaffold proteins can homo- or hetero-dimerize either via leucine-zipper or SH3 domains and contain multiple regulatory phosphorylation sites might introduce further specificity. It will be challenging to study whether scaffold proteins are also involved in IL-6-induced activation of the Vav-RacMEKK-SEK/MKK-4-PKCδ signal transduction cascade and determine their role in IL-6induced STAT3 ser727 phosphorylation. In HepG2 cells, IL-6-induced STAT3 signaling is transient. Within 60 min, both STAT3 tyr705 and ser727 phosphorylation is reduced to basal levels and STAT3 is re-entered into the cytoplasm. The kinetics of STAT3 dephosphorylation and cytoplasmic re-localization occur with similar kinetics as the upregulation of SOCS proteins. SOCS proteins downregulate STAT signal transduction by association with Jaks or the activated receptor complex, thereby preventing STAT tyrosine phosphorylation. SOCS-1 and SOCS-3 mRNA was first detected upon 30 min of IL-6 stimulation and prolonged for several hours (data not shown), suggesting that this negative feedback loop indeed downregulates STAT3 signal transduction. However, SOCS proteins will only inhibit STAT3 signaling at the receptor level and will prevent a re-activation of STAT3 when the IL-6-gp130 receptor complex is still in its active conformation. Thus, phosphatases must play an important role as well. Presumably, as is the case for STAT1 [115], nuclear tyrosine phosphatases will de-phosphorylate STAT3 tyrosine residues in the nucleus, which allows dissociation of the STAT3 dimer. STAT3 monomers will then be shuttled to the cytoplasm via a Nuclear Export Signal (NES)-mediated mechanism as has also been demonstrated for STAT1 [71]. In the cytoplasm, SOCS proteins will now prevent a re-activation of STAT3. Further experiments are required to identify the tyrosine phosphatase(s) involved, as well as the roles that potential serine phosphatases, receptor internalization and protein degradation might fulfill in the downregulation of IL-6-induced STAT3 signal transduction. An important point concerns the ligand-dependent and cell-type specific conditions that determine which signal transduction cascade is utilized to phosphorylate STAT3 on ser727 (reviewed in [63]). For instance, IL-2 induces STAT3 ser727 phosphorylation via the MEK/ERK pathway in T lymphocytes, but in combination with IL-12 it utilizes the p38 pathway [88]. EGF induces ser727 phosphorylation via the MEK/ERK pathway in NIH- Summary, Discussion and Future perspectives 129 3T3 cells [82], similar as insulin, OnM and LIF in adipocytes [345] and GM-CSF and GCSF in human neutrophils [346]. Stress stimuli such as UV and TNFα utilize the JNK pathway to phosphorylate STAT3 on ser727 in COS-7 cells [83], whereas v-Src-induced STAT3 ser727 phosphorylation is mediated by both JNK-1 and p38 in v-Src-transformed NIH-3T3 cells [89]. In HepG2 cells, IL-6-induced STAT3 ser727 phosphorylation is independent of ERK activation (Chapter 2). Jain et al demonstrated that PKCδ directly phosphorylates STAT3 on ser727 [243], in agreement with our data. So, although IL-6 is capable of activating ERK-1 (Chapter 2), ERK is not involved in the IL-6-induced ser727 phosphorylation of STAT3, while other ligands such as EGF or insulin do utilize this signal transduction cascade in some cells. Similar, in response to stress stimuli, JNK-1 is the end-point kinase of the JNK signal transduction cascade, whereas in the case of IL-6, JNK-1 is not involved. The kinetics and the level of activation of the specific signal transduction cascades might account for these observations, as well as the involvement of scaffold proteins, which activation patterns might depend on the cytokine or growth factor that a cell is challenged to. 2. The role of STAT3 ser727 phosphorylation in the regulation of gene transcription Based on the experiments described in Chapters 2-4, we conclude that ser727 phosphorylation is required for maximal STAT3 transactivation in response to IL-6 stimulation. STAT3β, which lacks the C-terminal transactivation domain and the mutant STAT3 ser727ala display strongly reduced transcriptional activities as compared to STAT3α. The STAT3 ser727asp mutant, in which the serine residue is replaced by the negatively charged aspartate residue, displays similar transcriptional activities as STAT3α. However, this mutant has become independent of activation of the Vav-Rac-MEKK-SEK1/MKK-4-PKCδ signal transduction cascade, indicating that the role of this signaling pathway is to provide STAT3 with a negative charge at position 727 (Chapter 4). These observations are further underscored by experiments in which C-terminal fragments of STAT3 were fused to the DNA-binding domain of GAL4 and were tested for transcriptional activities in GAL-4-luciferase reporter assays. The 65 C-terminal amino acids of STAT3 can serve as an independent Transactivation domain (TAD), particularly when a negative charge is introduced at position 727 (Chapter 4). In order to study the functional role of the negative charge at position 727, either provided by a phosphate group or the ser727asp mutant, STAT3 associating proteins were studied in relation to the negative charge at position 727. A model is presented in figure 3. The coactivator protein p300 associates with STAT3 in vivo upon IL-6 stimulation, and p300 strongly associates with the minimal TAD of STAT3 when serine 727 is mutated into aspartate (Chapter 4). The function of the association of p300 with STAT3 is to allow high levels of gene transcription. This is reflected by the fact that overexpression of p300 strongly enhanced the transcriptional activities of STAT3α and STAT3 ser727asp, but not of STAT3β or STAT3 ser727ala (Chapter 4). P300 contains a histone acetyltransferase (HAT) domain that is required for its cooperative transcriptional activity with other signaling molecules, including c-Jun and p53 [258,259]. By acetylation of histones, p300 is involved in chromatin remodeling and can subsequently modulate gene transcription. Furthermore, it is now being appreciated that besides phosphorylation, acetylation is also an important trigger that affects the activity of a variety of signal transduction molecules, 130 Chapter 9 including transcription factors. In the case of STAT3 however, we were not able to detect any IL-6-induced actelyation of STAT3 (data not shown) suggesting that p300 does not directly acetylate STAT3. Alternatively, we propose a model in which p300 enhances STAT3 transactivation by functioning as a bridging factor coupling DNA-bound, ser727 phosphorylated STAT3 to the basal transcription machinery via association of p300 with the RNA polymerase II complex of proteins (Figure 3). In contrast to the positive contribution of STAT3 ser727 phosphorylation on the intititation of gene transcription described in this thesis, negative effects of ser727 phosphorylation on STAT3 transactivation have been described as well. For example, Jain et al. have described that overexpression of PKCδ strongly enhances STAT3 ser727 phosphorylation, but reduces STAT3 transactivation [243]. In contrast, we find that overexpression of constitutive active RacV12, which strongly enhances STAT3 ser727 phosphorylation, also enhances STAT3 transactivation levels (chapter 3). Thus, these data suggest that the inhibitory effects of overexpression of PKCδ on STAT3 transactivation are not directly linked to enhanced STAT3 ser727 phosphorylation, but are due to secondary effects like the activation of phosphatases or the upregulation of negative feedback proteins like Suppressors of Cytokine Signaling. We find that inhibition of PKCδ activity, either by treating cells with rottlerin or by overexpression of dominant negative PKCδ, results in a reduced STAT3 ser727 phosphorylation that is linked to a severely impaired STAT3 transactivation. Figure 3. Proposed model for the role of STAT3 ser727 phosphorylation in the initiation of gene transcription. P300 serves as a bridging factor coupling ser727 phosphorylated, DNA-bound STAT3 to the basal transcription machinery (TBP, TATA Binding Protein; TAF, TBP Associated Factor). 3. STAT3 associating proteins/cross-talk In contrast to many other cellular signal transduction cascades, the TK-STAT pathway is rather direct: STATs function both as signal transducers transmitting signals from the cytoplasmic receptors to the nucleus as well as transcription factors thus initiating gene transcription. However, STATs do not act alone. Interactions of STATs with a variety of other proteins have been described, including nuclear hormone receptors, minichromosome maintenance proteins, p300/CBP and members of the AP-1 family of transcription factors. These STAT interacting proteins function to modulate STAT signaling at various steps and mediate the crosstalk of STATs with other cellular signaling pathways. In Chapter 5, a direct interaction between STAT3 and AP-1 transcription factors is described. A model is presented in which STAT3 directly binds to its response element Summary, Discussion and Future perspectives 131 and c-Jun or c-Fos associate with STAT3 without binding to the DNA. The consequence of this interaction is an enhanced STAT3-driven transcription. The transactivation domain, the DNA binding domain as well as the serine residues 63 and 73 of c-Jun appear to be required for this cooperativity. Similar results have been described by Zhang et al, who identified the interacting regions in STAT3 and c-Jun that participate in cooperative transcriptional activation [68]. Two regions in STAT3 were found to associate with c-Jun, a region within the coiled-coil domain and a portion of the DNA binding domain distant from DNA contact sites. Interestingly, we find that co-stimulation with IL-6 and TPA induces a synergistic transactivation of the IRE reporter in HepG2 cells, which is coupled to a strong TPAinduced upregulation of c-Jun and c-Fos expression via the ERK pathway. Thus, crosstalk exists between IL-6/STAT3 signal transduction and activation of the ERK pathway, and the cooperativity between STAT3 and AP-1 proteins provides the possibility to fine-tune the expression of downstream target genes. A mechanistic explanation for the observed cooperation between STAT3 and AP-1 proteins in target gene expression can not be given yet. Two possibilities might be considered. First, it is conceivable that association of c-Jun or c-Fos with STAT3 stabilizes STAT3 DNA binding. Thus, the off-rate of STAT3 dissociation from the DNA might be reduced which would finally result in higher levels of gene transcription. Alternatively, association of c-Jun or c-Fos with STAT3 might allow or facilitate the recruitment of coactivator proteins. The co-activator CBP/p300 might be a possible candidate, since it has been demonstrated that phosphorylation of the serine residues 63 and 73 of c-Jun enables the recruitment of CBP/p300 which is a prerequisite for high levels of gene transcription [258]. We find that the serine residues 63 and 73 of c-Jun are required for its cooperativity with STAT3, indicating that such a model indeed might be valid. However, we can not exclude the possibility that other co-activator proteins might be recruited by c-Jun or c-Fos as well. Further studies are required to determine whether p300 indeed interacts with the STAT3/AP-1 DNA-bound complex in vivo and what the exact sites of interaction are, since we also find that p300 can interact with the C-terminus of STAT3. 4. STAT3 in oncogenesis The consistent finding of disturbed STAT signaling in a variety of human tumors has led to the hypothesis that a constitutive STAT activation might be causal in the malignant progression of cancers [163,164,166,328]. Probably the most direct evidence for this hypothesis stems from an article by Bromberg and colleagues entitled ‘STAT3 as an oncogene’ [191]. They demonstrated that by introducing mutations in the C-terminal loop of the SH2 domain, STAT3 dimerizes spontaneously and induces constitutive gene expression. This constitutive active STAT3 molecule induces cellular transformation of immortalized fibroblasts and tumor formation in nude mice. Target genes of STAT3 that are induced include cyclin D1 and the anti-apoptosis protein Bcl-xL, although the exact gene expression pattern that is involved in the transformation process still needs to be elucidated. A direct link between cell-cycle progression and STAT3 activation was described by Fukada and colleagues [154]. STAT3 plays a key role in G1 to S phase cellcycle transition through upregulation of cyclins D2, D3 and A and cdc25A, and the concomitant downregulation of p21 and p27 in the BAF/B03 pro-B cell line. Thus, a 132 Chapter 9 constitutive STAT3 activation might contribute to a growth advantage of malignant cells over the normal counterpart. In acute leukemias, a constitutive activation of STAT3, STAT5 and in some cases STAT1 has been observed [164]. In acute myeloid leukemia (AML), we observed a constitutive activation of STAT3 in approximately 25% of the investigated cases, as determined by constitutive and non-IL-6 inducible STAT3 tyr705 and ser727 phosphorylation as well as by constitutive DNA binding (Chapter 6). Although the majority of the investigated AML cells secreted low to undetactable levels of IL-6 into the medium, the AML cells characterized by constitutive STAT3 activation displayed strongly enhanced IL-6 secretion levels. Since interference with neutralizing anti-IL-6 antibodies reduced constitutive STAT3 phosphorylation to low basal levels and restored the IL-6 inducibility of STAT3 we conclude that the elevated IL-6 secretion levels cause the constitutive STAT3 activation in the investigated AML cells. Previous studies have demonstrated that the transcription factor NF-κB is an important mediator of IL-6 gene expression [77]. Moreover, constitutive NF-κB DNA binding has been observed in many acute myeloid leukemia cells [75]. Further studies are required to determine whether there exists a correlation between constitutive NK-κB activity and enhanced IL-6 secretion in AML cells, which would finally result in a constitutive activation of STAT3. Figure 4 describes a model, in which the constitutive secretion of cytokines induces signal transduction in an autocrine or paracrine manner. Whether this model reflects a general mechanism that results in the malignant progression of leukemias remains to be elucidated but elevated levels of cytokine production have indeed been described in a variety of leukemias and lymphomas. Figure 4. Elevated levels of IL-6 production induce constitutive activation of STAT3 in acute myeloid leukemia cells. Besides disturbed cytokine production, numerous oncogenes have been described which initiate STAT signaling in the absence of ligand stimulation. For example, v-Src, v-Eyk, vRos, and v-Fps have been describe to activate STAT3 (see also Table 4, reviewed in Summary, Discussion and Future perspectives 133 [163]). Furthermore, it has been demonstrated that constitutive activation of the tyrosine kinase receptor Flt-3 induces STATs, which results in cellular transformation [347,348]. Often, these oncogenes contain a constitutive tyrosine kinase activity and activate STATs directly or via the persistent activation of signal transduction cascades. In Chapter 7, we describe that the MEN2A oncogene induces constitutive STAT3 activation. The Ret protooncogene encodes for a member of the receptor family of tyrosine kinase (RTK) superfamily that plays a crucial role during the development of the enteric nervous system [306,309,349]. Germline mutations at cysteine residues in the extracellular domain (Cys609, -611, -620, -630, and –634) are responsible for the majority of multiple endocrine neoplasia type 2A (MEN2A) [310,311]. MEN2A mutations induce a ligandindependent constitutive activation of RET which leads to abnormal cell growth, differentiation defects and cellular transformation. We find that NIH-3T3 cells stably expressing MEN2A and STAT3α, but not STAT3β, are characterized by enhanced proliferation in soft agar and cyclin D1 promoter activity, indicating that malignant cell growth induced by MEN2A involves its activation of STAT3. Interestingly, deletion of the C-terminal TAD of STAT3 severely reduced the MEN2A-induced cellular transformation, strongly suggesting that besides STAT3 tyr705 phosphorylation, ser727 phosphorylation is required for its full cell-biological activity. Similar observations have been published for v-Src-induced cellular transformation [184,185]. STAT3 enhances the transformation of vSrc while STAT3β inhibits v-Src-induced transformation of NIH-3T3 cells [184,185]. These data strongly underline the importance of the C-terminal transactivation domain for STAT3 signaling in vivo. The data presented in Chapter 7 provide a novel example of how STAT3 might contribute to the malignant progression of cancers in endocrine tissues that express the MEN2A oncogene and it will be challenging to determine whether there is indeed a causal relationship between a persistent activation of STAT3 and the development of multiple endocrine neoplasia type 2A in patients. 5. The role of STAT3 in embryonic carcinoma cells Recent advances in mouse embryonic stem cell biology have elucidated the critical roles of LIF and STAT3 for stem cell self-renewal and the maintenance of pluripotency [156,159,335]. As a consequence, mouse ES cells can now be cultured in the absence of embryonic fibroblast feeder-cell layers when LIF is administered to the medium. Unfortunately however, human ES cells do not respond to LIF in a similar fashion and still require feeder-cell layers for support [338]. Embryonic carcinoma (EC) cells provide a tool for analyzing the mechanisms that control differentiation during embryonic development [336]. They express markers that are also expressed in ES cells, including Oct-4, alkaline phosphatase and stage-specific embryonic antigens, and can be differentiated into cell-types of all the germ layers. In Chapter 8, we studied the signal transduction cascades that are initiated by LIF in mouse versus human embryonic carcinoma cells (P19 EC versus Ntera/D1 EC cells). In P19 EC cells, LIF induces the activation of both ERK as well as STAT3. Also, LIF significantly enhances the proliferation of P19 EC cells, which is completely dependent on the LIF-induced ERK activation and does not involve STAT3. In contrast, LIF neither activates STAT3 nor ERK-1 in Ntera/D1 EC cells, although receptor components are properly expressed. Interestingly, the negative feedback protein SOCS-1 is highly expressed in human Ntera/D1 EC cells, which might prevent LIF-induced STAT3 signal transduction. 134 Chapter 9 Although further experiments are required to determine whether SOCS-1 expression is indeed also elevated in human ES cells, it is tempting to speculate that LIF-STAT3 signaling might be disturbed in ES cells due to a constitutive activation of this negative feedback loop. When this is indeed the case, it might become feasible to culture human ES cells in the absence of feeder cells in the near future by using anti-sense oligonucleotidebased strategies to inhibit endogenous SOCS-1 expression. Future perspectives One of the most challenging goals in the near future will be the determination of STAT3 target genes in relation to cell-type specific events using micro-array technologies. Next, it will be important to elucidate the relationship between the expression of a certain gene and the observed phenotype(s). In the case of STAT3, the knockout mice are embryonic lethal and thus the role of STAT3 in adult tissues could not be assessed. Conditional-knockout approaches did yield considerable insight in the biological functions of STAT3 and it will be of importance in the near future to identify the STAT3 target genes that account for the specific cell-biological responses. This should yield important information on how normal STAT3 signal transduction results in the appropriate phenotype, which can then be correlated to disturbed gene expression patterns in human malignancies. Also, it will be rewarding to study gene expression patterns when a cell is facing multiple cytokines, for instance IL-6 in combination with ligands that activate the ERK, p38 or PI3K pathways. Thus, it will be possible to start elucidating the effects of cytokine-crosstalk on the expression of genes. Since the completion of the sequencing of the human genome it appears that remarkably few genes exist in humans as compared to for instance fruit flies or nematodes (approximately 35.000 in humans versus approximately 13.600 in Drosophila and approximately 17.300 in C. elegans). Without that many new genes waiting to be discovered, it appears likely that the interplay amongst genes will be a new focus of research. Possibly, the fate of cells might be considerably different when two genes are expressed simultaneously as compared to a setting in which the individual genes are expressed. Also, the levels of proteins that are translated in response to ligand stimulation might be of much more importance then currently acknowledged, which presumably will be crucial in the determination of cellular decisions. Candidate genes regulated by STATs that may contribute to oncogenesis are now rapidly being identified. While constitutive STAT activation is a common characteristic of leukemias and other human cancers, the specific pattern of activated STATs and the manner by which STAT activation occurs vary with each disease. Thus, there is increasing interest in the development of treatments directed against specific steps in the signal transduction cascades that lead to STAT activation. Human cancers continue to cause significant mortality in adults and children and the use of standard cytotoxic chemotherapy has reached its maximal applicability in the clinic. The STAT signaling pathway is an attractive target for therapeutic intervention, and strategies designed to inhibit STAT mediated gene transcription should be a focus of future research. An increasing number of therapeutics that mimic or modulate the activity of cytokines or growth factors are currently being generated using cell-based or biochemical high-throughput screens, which will hopefully be applicable in the clinic.