Abstract
STAT proteins represent an important family of evolutionarily conserved transcription factors that play key roles in diverse biological processes, notably including blood and immune cell development and function. Classically, STAT proteins have been viewed as inducible activators of transcription that mediate cellular responses to extracellular signals, particularly cytokines. In this ‘canonical’ paradigm, latent STAT proteins become tyrosine phosphorylated following receptor activation, typically via downstream JAK proteins, facilitating their dimerization and translocation into the nucleus where they bind to specific sequences in the regulatory region of target genes to activate transcription. However, growing evidence has challenged this paradigm and identified alternate ‘non-canonical’ functions, such as transcriptional repression and roles outside the nucleus, with both phosphorylated and unphosphorylated STATs involved. This review provides a revised framework for understanding the diverse kaleidoscope of STAT protein functional modalities. It further discusses the implications of this framework for our understanding of STAT proteins in normal blood and immune cell biology and diseases such as cancer, and also provides an evolutionary context to place the origins of these alternative functional modalities.
Keywords: STAT, JAK, Cytokine, Transcription factor, Immunity, Cancer
Background
The signal transducer and activators of transcription (STAT) family of proteins were initially identified as transcription factors that could facilitate the rapid induction of target genes in response to specific extracellular stimuli, including cytokines, growth factors and other agents, through tyrosine phosphorylation-mediated activation, much of it mediated by Janus kinases (JAKs) [1–5]. These genes impact key cellular processes, including differentiation, proliferation, survival and functional activation [6]. Gene ablation studies of the various STATs have identified essential roles particularly in blood and immune cell development and function (Table 1), but also in mammopoiesis, lactation, postnatal growth and a variety of homeostatic processes.
Table 1.
STAT protein | Major functions | References |
---|---|---|
STAT1 | Immunity against viral and bacterial infection | [7, 8] |
STAT2 | Immunity against viral and bacterial infection | [7, 8] |
STAT3 | Regulation of innate immunity and inflammation, stem cell maintenance, cell metabolism | [9, 10] |
STAT4 | Development and function of adaptive and innate immune cells | [11, 12] |
STAT5A/B | Development of multiple blood and immune cell lineages | [13] |
STAT6 | Regulation of innate and humoral immunity | [14, 15] |
More recent studies, however, have uncovered alternative STAT functions that lie outside this ‘canonical’ paradigm of transcriptional activation including gene repression [16] and non-nuclear roles [17], as well as functions not requiring tyrosine phosphorylation [18], collectively termed ‘non-canonical’ signaling. This review describes the various STAT protein functionalities and places these in a robust framework that captures the diversity of STAT roles in the normal biology of blood and immune cells and relevant diseases, placing this diversity in an evolutionary context.
Structure and function of STAT protein family
The STAT protein family consists seven members: STAT1, STAT2, STAT3, STAT4, STAT5A, STAT5B and STAT6 [19, 20]. Each is approximately 750–900 amino acid residues [21] comprising six conserved domains that mediate different aspects of STAT function [22] (Fig. 1).
N-terminal domain
Consisting of multiple alpha-helices that form a hook-like structure, the N-terminal domain (NTD) mediates interactions between STAT molecules that facilitate dimerization even in the absence of phosphorylation [23, 24].
Coiled-coil domain
Containing several alpha-helices in a ropelike structure, the coiled-coil domain (CCD) facilitates binding to other transcription factors and co-activators such as p48/Interferon regulatory factor 9 (IRF9) and N-Myc and STAT interactor (Nmi) [25], but also to co-repressors such as Silencing mediator for retinoic acid receptor and thyroid hormone receptor (SMRT)/nuclear receptor co-repressor (N-CoR) [26]. This domain is also implicated in nuclear translocation via a nuclear localization signal (NLS) motif that interacts with importin proteins to facilitate nuclear entry [22, 27].
DNA-binding domain
The DNA-binding domain (DBD) possess an immunoglobin-like structure that mediates recognition and binding to specific DNA target sequences [22, 28]. Many of these conform to the so-called gamma-activated sequence (GAS), a palindromic TTCN3-4GAA motif present within the promoter region of STAT-responsive target genes [6, 29].
Linker domain
The short linker domain (LD) is crucial for providing structural support during activation and DNA binding, and also serves as a contact point during the formation of transcriptional complexes [22, 30].
Src homology 2 domain
The Src homology2 (SH2) domain is a highly conserved structural module found in a myriad of signaling proteins that is able to bind to specific phosphotyrosine-containing motifs on other signaling components to mediate protein–protein interactions [31]. In the case of STATs, this includes phosphotyrosines found on activated receptor complexes as well as those found adjacent to the SH2 domain on STAT proteins that facilitate dimerization [1, 20, 22].
C-terminal domain
A diverse and poorly defined sequence located at the C terminus, this domain is often referred to as the transactivation domain (TAD), since it interacts with numerous transcriptional co-activators such as histone modifying acetyl transferases p300/CREB-binding protein (CBP) [32] and general control of amino acid synthesis protein-5 (GCN5) [33], and the chromatin remodeling factor Brahma [34] to activate gene transcription [35]. A serine residue present within the C-terminal domain undergoes phosphorylation independent of tyrosine phosphorylation and can enhance transcriptional activation [19].
Canonical STAT function
In the well-established ‘canonical’ STAT functional mode (Fig. 2), unphosphorylated STATs (uSTATs) reside in an inactive state in the cytoplasm and require tyrosine phosphorylation to become active.
Receptors
Extracellular regulators, such as cytokines and growth factors, bind to specific transmembrane receptors present on the plasma membrane of responsive cells. As a result, the intrinsic tyrosine kinase domains found in growth factor receptors and associated non-receptor tyrosine kinases, such as Janus kinases (JAKs), in the case of cytokine receptors become activated.
JAKs
JAKs associate with the membrane proximal region of cytokine receptors via interaction with conserved sequence motifs [36]. Cytokine-induced conformational changes in the receptor complex facilitate JAK activation through autophosphorylation, with activated JAKs able to phosphorylate tyrosine residues within the cytoplasmic domain of the receptor and associated molecules [37]. This creates docking sites for downstream signaling proteins containing SH2 domains, including uSTAT molecules [2, 31, 38].
STATs
Once docked to the receptor complex the uSTATs in turn become tyrosine phosphorylated, with the resultant phospho-STAT (pSTAT) able to form a dimer with another pSTAT via reciprocal SH2 domain–phosphotyrosine interactions, which can rapidly translocate into the nucleus by direct interaction with importin complexes in the nuclear membrane mediated by GTPases such as Rac1 [7, 39, 40] Within the nucleus the pSTAT dimers bind to specific DNA sequences in the promoter region of target genes typically based on variations of a core palindromic TTCN3-4GAA motif [6, 19]. This results in the transcriptional activation of these genes via associated co-activators [35]. The target genes encode proteins that are associated with various cellular activities such as proliferation, differentiation, survival and activation [6].
Negative regulators
STATs subsequently undergo inactivation by dephosphorylation via nuclear protein tyrosine phosphatases (PTPs) and are exported back to the cytoplasm [18, 41]. Canonical STAT function is also negatively regulated by protein inhibitors of activated STAT (PIAS) protein through direct binding to STAT proteins to suppress nuclear entry and DNA-binding activity, cytoplasmic PTPs that dephosphorylate various receptor components to inhibit STAT activation [42], and by members of the SOCS family of negative feedback regulators, which are induced by STAT signaling and then serve to inhibit further signaling via a number of mechanisms [43, 44].
Variations
Even within this ‘canonical’ mode, there are variations, such as the formation of a STAT1/STAT2/IRF9 hetero-trimeric complex in response to type I interferons [45], which targets an alternative sequence, the interferon-sensitive response element (ISRE: YAGTTC(A/T)TTTYCC) [46]. There is also evidence of other heterodimeric combinations, such as STAT1/IRF9, STAT1/STAT3, STAT3/STAT5 and STAT5A/STAT5B [47–50]. In addition, multimeric sites comprising more than one STAT dimer binding cooperatively to enhance the impact on transcription have been described [51, 52].
A new framework to describe alternative STAT functional modalities
There is growing evidence that STATs can exert their effects via additional modalities distinct from the canonical mode. Collectively these alternative modalities, termed ‘non-canonical’ [16], utilize a variety of different mechanisms, including both gene repression and activation, mediated by both tyrosine phosphorylated and unphosphorylated STAT proteins, and involving roles both inside and outside the nucleus. This review provides an overarching framework to describe these modalities to facilitate a greater coherence to the literature and as a necessary prelude to defining the specific function(s) of each modality (Fig. 3).
Nuclear functions
The predominant function for STAT proteins is still regarded to be as a transcriptional regulator in the nucleus, but several variations of this have now been described. In addition to transcriptional activation, pSTATs have also been shown to mediate repression of target genes, for example STAT5 during embryonic erythropoiesis [53]. Moreover, it is now well established that uSTATs are capable of entering the nucleus to regulate gene expression through either activation or repression [16]. These can represent cytoplasmic uSTAT dimers that translocate into the nucleus, which for uSTAT3 involves importins [54], but for uSTAT1 is mediated by direct interaction with nucleoporins [55]. Alternatively, they may be uSTATs that result from dephosphorylation of nuclear pSTAT molecules [56]. Such uSTATs can bind similar, overlapping or totally distinct sites to the corresponding pSTAT [57, 58]. For example, uSTAT3 has been shown to preferentially bind with AT-rich DNA sequences and specific DNA structures, leading to the heterochromatin formation resulting in the gene silencing [59].
Inducible transcriptional activation
This represents the classical ‘canonical’ mode of signaling utilized by all STATs (Fig. 3A, Table 2), in which uSTAT proteins are dormant in the cytoplasm and then become activated by tyrosine phosphorylation in response to cytokines [1], growth factors [3], G-protein-coupled receptors [60] or other stimuli such as osmotic stress [61]. Tyrosine phosphorylation allows dimerization and subsequent translocation of pSTAT dimers into the nucleus to activate target genes via interaction with co-activators such as CREB-binding protein (CBP), p300 and NCoA-1/SRC-1 [35, 62], as well as chromatin remodelers such as BRG1 [63] until pSTAT molecules are inactivated by dephosphorylation [18, 41].
Table 2.
Functional modality | STAT protein | Examples | References |
---|---|---|---|
Inducible transcriptional activation | STAT1 and STAT2 | Type I IFN stimulated pSTAT1/pSTAT2/IRF9 leads to transcription of IFN-stimulated genes (ISGs) that provide protection against viral infection | [64, 65] |
STAT3 | IL-6 stimulated pSTAT3 leads to transcription of IL21 and other genes essential for Th17 cell differentiation | [66] | |
STAT4 | IL-12 stimulated pSTAT4 leads to transcription of NFKB1, CASP8 and other genes that impact neutrophil function | [12, 67] | |
STAT5 | EPO stimulated pSTAT5 leads to transcription of genes like GATA1, KLF1 and BCL2 that are essential for erythropoiesis | [68] | |
STAT6 | IL-4 stimulated STAT6 leads to transcription of genes like IL4, GATA3, IL1R11, HIPK2 and NFIL that are responsible for Th2 cell differentiation | [69] | |
Inducible transcriptional repression | STAT5 | IL-7 stimulated pSTAT5 leads to repression of IGK that suppresses immunoglobulin gene rearrangement | [70] |
STAT6 | IL-4 stimulated pSTAT6 leads to repression of genes like NLRP3 and IL1B, facilitating alternative macrophage polarization | [71] | |
Basal transcriptional activation | STAT1 | uSTAT1/IRF1 heterodimer mediates transcription of LMP2 | [57] |
STAT1 and STAT2 | uSTAT1/uSTAT2/IRF9 mediates prolonged transcription of IFN-responsive genes | [18] | |
STAT3 | uSTAT3/uNFκB mediates transcription of RANTES, IL6, IL8, MET and MRSA | [72, 73] | |
Basal transcriptional repression | STAT5 | uSTAT5/CTCF complex represses expression of genes involved in megakaryocytic differentiation | [58, 74] |
Inducible non-nuclear functions | STAT3 | IL-6 stimulated pSTAT3 alters Ca2 + levels and membrane potential in mitochondria to influence effector functions of CD4 + T-cells | [75] |
STAT5 | IL-2 stimulated pSTAT5 regulates mitochondrial gene expression | [76] | |
Basal non-nuclear functions | STAT1 | uSTAT1 functions at immunological synapses in NK cells to impact cytotoxicity | [77] |
STAT3 | uSTAT3 sequesters FoxO transcription factors within cytoplasm that extends T cell activation | [78] | |
STAT5 | uSTAT5 maintains structural integrity of endoplasmic reticulum, Golgi body and mitochondria | [79] |
Numerous cytokines have been shown to utilize STATs in this manner leading to induction of a raft of genes involved in specific cellular functions along with proliferation, differentiation and survival [6]. For example, IFNγ signaling leads to the phosphorylation, dimerization and nuclear translocation specifically of pSTAT1 to activate various genes such as various IRF, CXCL and ISG genes and micro RNAs essential for immune responses to pathogen and tumors via so-called γ-activated sites (GAS) motifs within their promoters [18, 80, 81]. Alternatively, IL-6 induces the transcription of IL21 via pSTAT3 in T cell precursors, with the encoded IL-21 in turn inducing IL17 that is essential for Th17 differentiation also via pSTAT3 activation [66]. Similarly, IL-12 induces pSTAT4 in CD3+ T cells that induces genes such as IFNγ that impact on cell differentiation and function [82]. In addition, in the erythroid lineage erythropoietin (EPO) to induce genes such as BCL2l1 and TRAF5 via pSTAT5 in concert with KLF-1 and GATA1 to regulate erythropoiesis [68].
Inducible transcriptional repression
In this alternative modality, dormant cytoplasmic uSTAT proteins are also tyrosine phosphorylated in response to external stimuli and form pSTAT dimers that move to the nucleus and bind to specific DNA sequences, but instead actively repress transcription of certain target genes (Fig. 3B, Table 2). This is facilitated via interaction with co-repressors such as Silencing mediator for retinoic acid receptor and thyroid hormone receptor/nuclear co-repressor 2 (SMRT/Ncor2) that induce histone modification [26]. The pSTAT dimers involved would also be inactivated over time to remove the repressive effect. Numerous examples of this modality have been described. For example, IL-4-induced pSTAT6 mediates the repression of various genes involved in the alternative macrophage polarization, such as NLRP3 and IL1B, thereby inhibiting inflammasome stimulation and pyroptosis [71]. Similarly, IL-7-induced pSTAT5 binds to intronic tetrameric STAT sites in B cells to repress the transcription of the IGK gene to suppress immunoglobin gene rearrangement [70], while IL-2-induced pSTAT5 suppresses a Th17-like program during Th9 cell differentiation [83].
Basal transcriptional activation
In this functional mode, nuclear uSTAT molecules mediate the transcriptional activation of certain target genes, often through the formation of novel complexes with other transcription factors [35]. In response to external signals, the levels of pSTAT become acutely increased, which serves to indirectly deplete levels of uSTAT that results in an acute deactivation of uSTAT-activated genes (Fig. 3C, Table 2). For example, uSTAT1 can form a heterodimeric complex with interferon regulatory factor-1 (IRF1) that can bind GAS motifs to induce genes such as LMP2 that encodes a subunit of the 20S proteosome [57]. In addition, uSTAT1 has been shown to activate expression of pro-apoptotic genes, such as caspases CPP22, ICE and ICH1 necessary for TNFα-mediated apoptosis [84]. In a similar vein, uSTAT3 mediates induction of ion channels and neurotransmitter receptors in the brain [85] and can also augment the expression of select STAT1- and STAT2-responsive genes by increasing promoter accessibility [86]. However, in several cases ‘canonical’ signaling can also increase the transcription of the respective STAT gene, thereby elevating uSTAT levels that leads to sustained basal transcriptional activation over a longer time frame. For example, via a complex of uSTAT1, IRF9 and uSTAT2 resulting in prolonged expression of a subset of IFN-induced genes [18], or in the case of uSTAT3 to induce a second wave of alternate genes [72].
Basal transcriptional repression
In this modality, uSTAT molecules can repress transcription of specific target genes via interaction with co-repressors and/or chromatin modifiers, including heterochromatin protein (HP)1α that mediates heterochromatin formation [87]. In response to external signals, acute levels of these uSTAT molecules tend to decrease leading to derepression of these genes (Fig. 3D, Table 2). For example, uSTAT5 can act as a direct repressor of genes via the transcription repressor CTCF to restrain megakaryocytic differentiation. However, thrombopoietin (TPO)-stimulated STAT5 phosphorylation results in decreased levels of uSTAT5 thereby abrogating the repression of these genes [58, 74].
Non-nuclear roles
STATs have also been implicated in various non-nuclear roles, including in mitochondria, endoplasmic reticulum (ER), Golgi apparatus and cytoplasm in both unphosphorylated and phosphorylated states, the majority not involving gene regulation [17, 88].
Inducible non-nuclear functions
In this mode, dormant uSTAT is activated in response to external stimuli and moves into non-nuclear organelles to exert various biological roles (Fig. 3E, Table 2). For example, IL-6-mediated mitochondrial translocation of STAT3 has been shown to mediate cytokine expression in CD4 + T cells [75], while mitochondrial STAT3 induced by IL-21 contributed to the generation of CD8 + memory T cells and antibody production in B cells [89]. IL-2 has also been shown to induce translocation of pSTAT5 into mitochondria, where it was able to associate with the D-loop regulatory region of mtDNA, suggesting it may also participate in the regulation of mitochondrial DNA transcription [76].
Basal non-nuclear functions
In this remaining modality, uSTAT molecules exert a function outside of the nucleus (Fig. 3F, Table 2), with the impact of external signals currently unclear. For example, uSTAT1 functions at immunological synapses in NK cells to contribute to cytotoxicity [77]. Meanwhile uSTAT3 sequesters the FoxO transcription factors in the cytoplasm to prolong T cell activation, which is released by pro-inflammatory cytokines that convert it to pSTAT3 [78]. uSTAT3 has also been shown to be involved in the regulation of microtubule structural integrity in murine embryonic fibroblast cells through its antagonistic association with the cytoplasmic microtubule destabilizing protein stathmin [90]. Alternatively, uSTAT5A and uSTAT5B have been identified in the ER and Golgi apparatus in human pulmonary arterial endothelial and smooth muscle cells, where they contribute to the anterograde vesicular secretory pathway. Knockdown of STAT5A/B resulted in dilation and/or fragmentation of the ER, Golgi and mitochondria, along with effects on other organelles [79].
Implications of this framework
This framework provides a powerful lens with which to view the various studies that address STAT functions, allowing a fresh and more complete perspective of STATs in both normal biology and disease.
Reassessment of the current literature
The majority of studies to date examining STAT function have utilized ‘global’ knockout/knockdown strategies, which provide excellent information about the overall function of the individual STAT proteins [91]. However, the key limitation of such approaches is that they do not provide detail about which specific STAT signaling modality is responsible for particular phenotypic changes. More problematic, however, has been the inherent assumption in many cases that the alterations observed relate exclusively to the loss of the canonical/inducible transcriptional activation mode. Therefore, the potential role of the various non-canonical modalities should also be directly considered. This will require alternative methodological approaches using more specific gene modifications that selectively target particular modalities, as already performed in a number of breakout studies [73, 86, 92].
More comprehensive insight into STAT biology
This framework also helps understand the full gamut of responses to cytokines and growth factors, rather than just the acute effects. Perhaps the best documented examples relate to interferon signaling where our understanding is unparalleled [93]. Thus, it is known that in the absence of IFNs, uSTAT-containing complexes facilitate low basal expression of a core set of genes [94]. IFN signaling then induces high level, but transient canonical pSTAT-mediated expression of various target genes that serve to inhibit growth and promote apoptosis and immune surveillance genes [94]. However, the targets also include STAT1, STAT2 and IRF9 [95]. A few hours after IFN stimulation, pSTAT levels decline, but those of uSTAT become increased as a combined consequence of pSTAT de-phosphorylation and increased STAT gene expression, allowing for a sustained impact on the transcription of a different set of immune genes that elicit long-lived antiviral and immune responses [18]. Similarly, it has been shown that IL-6 can increase STAT3 expression in fibroblasts (through canonical signaling via pSTAT3), which ultimately results in increased levels of uSTAT3 that drives the expression of late phase genes such as CDC2, CCNB1 and E2F11 [72, 73]. Finally, with respect to megakaryocyte differentiation, it has been demonstrated that in the absence of TPO uSTAT5 blocks differentiation by repressing the genes responsible for this process, including MPL and FTR. However, TPO-stimulated pSTAT5 phosphorylation results in decreased levels of uSTAT5 and so the repression of these genes is removed in concert with the induction of genes by pSTAT5 promoting proliferation and survival [58, 74].
More nuanced understanding of relevant human diseases and their potential treatment
STAT proteins have been widely implicated in human diseases, particularly immune deficiencies, inflammatory diseases, cancers and other proliferative disorders [96–98]. However, the current understanding of disease etiology has primarily focused on impacts to canonical signaling. This framework allows a recalibration of STAT-mediated diseases such that the full gamut of non-canonical functionalities can also be considered (Table 3).
Table 3.
Functional modality | STAT protein | Disruption* | Clinical manifestations | References |
---|---|---|---|---|
Inducible transcriptional activation | STAT1 | Germline LoF mutation | Susceptibility to intracellular pathogens and herpetic infection, due to defective IFN responses | [99] |
Germline GoF mutation | Mucocutaneous candidiasis, recurrent respiratory infection, cancer, autoimmune cytopenias, due enhanced responses to IFNs and other cytokines | [100] | ||
STAT2 | Germline LoF mutation | Susceptibility to viral disease, due to defective IFN responses | [101] | |
Germline GoF mutation | Various autoinflammatory disorders, due to enhanced IFN responses | [100] | ||
STAT3 | Germline LoF mutation | Hyper-IgE syndrome, with cutaneous and respiratory infections and skeletal abnormalities, due to defective signaling by multiple IL-6-related cytokines | [99] | |
Germline GoF mutation | Multiorgan autoimmunity, short stature, lymphoproliferation, due to enhanced signaling by IL-6 and related cytokines | [100] | ||
Acquired activating mutation | Large granular lymphocytic (LGL) leukemia and diffuse large B cell leukemia (DLBCL), due to augmented proliferation and survival | [102] | ||
Hyperactivation due to upstream components | Various cancers, such as head and neck squamous cell carcinoma, due to induction of genes such as CCND1 and TERT that permit sustained proliferation | [103–105] | ||
STAT4 | Germline GoF mutation | Autoimmune disorders, due enhanced signaling by IL-12 and other cytokines | [106] | |
STAT5A | Acquired activating mutation | T cell leukemias, due to increased proliferation and survival | [107] | |
STAT5B | Germline LoF mutation | Growth hormone insensitivity, immunodeficiency, eczema | [99] | |
Acquired activating mutation | Multiple T cell leukemias, due to increased proliferation and survival | [102] | ||
STAT5 | Hyperactivation due to upstream components | Myeloproliferative neoplasms such as acute myeloid leukemia (AML), chronic myeloid leukemia (CML), due to increased proliferation and survival | [108] | |
Inducible transcriptional repression | STAT1 | Loss of expression | Various cancers (melanoma, oesophageal squamous cell carcinoma, lung cancer, breast cancer), due to disruption of tumor suppressor activity of STAT1 | [109, 110] |
STAT3 | Hyperactivation due to upstream components | Chronic lymphocytic leukemia, due to increased repression of TP53 tumor suppressor gene | [72, 111] | |
STAT5 | Loss of STAT5-binding sites | Various B cell malignancies caused by constitutive expression of BCL6A that is normally repressed by STAT5 | [112, 113] | |
Basal transcriptional activation | STAT3 | Overexpression due to upstream components | Various cancers due to increased expression of oncogenes such as CCNB1 and E2F11 via excessive uSTAT3 | [73] |
STAT6 | Overexpression due to upstream components | Hepatocellular carcinoma due to increased cyclooxygenase-2 expression via excessive uSTAT6 | [114, 115] | |
Inducible non-nuclear roles | STAT5 | Hyperactivation due to upstream components | Interacts with scaffold adaptor to mediate cell survival and metabolism of cancer cells | [76, 116] |
*GoF, gain of function; LoF, loss of function
This is not to say that canonical STAT signaling resulting in inducible gene activation is not important in disease. Indeed in numerous cancers and proliferative disorders, STAT proteins have been observed to be constitutively phosphorylated as a result of mutation of upstream activators, or through excessive signaling associated with inflammation, infection or other pathologies [117–120]. This is typically associated with an increase in the expression of genes usually induced through the canonical pathway. For example, in various human cancers STAT3 induces genes that permit sustained proliferation, such as those encoding cyclin D1 (CCND1) [103] and telomerase (TERT) [104]. However, there is also evidence for inducible transcriptional repression. For example, IL-2-mediated pSTAT3 represses p53 to enhance survival of chronic lymphocytic leukemia cells [111]. Similarly, in mammary epithelial cells prolactin-mediated pSTAT5A results in repression of the BCL6A gene through binding to tetrameric STAT sites within the 5’ untranslated exon of this gene to decrease breast cancer tumorigenesis [121].
Unphosphorylated STATs also play a role in disease. This can involve basal transcriptional activation. For example, in non-small cell lung cancer uSTAT6 upregulates the cyclooxygenase 2 gene (PTGS2) through a consensus STAT6 site to provide protection against apoptosis [114]. One of the targets of canonical STAT3 signaling is the STAT3 gene itself, which serves to increase the levels of uSTAT3 as well over the longer term, resulting in chronic pSTAT3-mediated transcriptional effects in concert with additional uSTAT3-mediated regulation. In lung, head and neck cancers, this includes genes involved in cell cycle progression, such as CCNB1, E2F11 and CDC7 [73]. Importantly, genes not typically regulated by pSTAT3 can be affected, such as those encoding cytokines (IL6, IL8, RANTES) and oncoproteins (MRAS, MET) in hTERT-HME1 cells. Expression of these genes was shown to be mediated by a novel transcription complex formed when uSTAT3 binds unphosphorylated NFκβ (uNFκβ) [72]. Similarly, in colon cancer, Jun activation domain-binding protein 1 (Jab1) regulates uSTAT3 DNA binding and expression of VEGF, MDR1 and NANOG [122]. However, the basal repression modality of uSTATs is also important. For example, uSTAT3 and uSTAT5A have been shown to interact with HP-1α, promoting the formation of heterochromatin which contributes to gene silencing that suppresses growth of colon and lung cancer cells, respectively [123, 124].
In addition, non-nuclear roles have been implicated in disease, including cancer, which can be inducible or basal. For example, pSTAT5 induced by BCR-ABL, JAK2V617F or KITD816V in leukemic cells has been shown to interact with the scaffold adaptor Gab2 in the cytoplasm to mediate activation of the phosphatidylinositol-3 kinases (PI3K)/AKT pathway to facilitate cell survival [116]. Alternatively, mitochondrial STAT5 and has been found to interact with the E2 subunit of the pyruvate dehydrogenase complex to regulate metabolism in leukemic T cells [76]. In leukemic pre-B cells uSTAT5 protects against oxidative damage independent of transcriptional changes [51]. The pathogenesis of pulmonary arterial hypertension has also been proposed to be mediated by non-nuclear functions of STAT3 [125] and STAT5 [17], which appear to impact on the stability of the ER and Golgi body [79].
These examples clearly indicate that relevant diseases involve both canonical and non-canonical modalities. This knowledge provides critical insights for the design and application of therapeutic agents targeting STAT proteins. This is particularly important since most of the developed pharmacological inhibitors target either upstream canonical signaling components such as the kinase activity of JAKs or the SH2 domains of STATs [121] (Table 4). However, these drugs may not be effective on the non-canonical pathways. Moreover, there is a possibility for negative consequences, with inhibition of pSTAT potentially resulting in accumulation of uSTAT that may exert unintended and potentially deleterious effects.
Table 4.
Agent | Target(s) | Disease(s) | Phase | Status* | ClinicalTrials.gov identifier(s) |
---|---|---|---|---|---|
CPL409116 | JAKs/ROCK | Rheumatoid arthritis, psoriasis | 1 | R | NCT04670757 |
Abrocitinib (PF-04965842) | JAK1 | Atopic dermatitis | 3 | C, C | NCT04345367, NCT03796676 |
Food allergy | 1 | N | NCT05069831 | ||
GSK2586184 | JAK1 | Psoriasis | 2 | C | NCT01782664 |
Systemic lupus erythematosus | 1 | R | NCT01953835 | ||
Itacitinib (INCB039110) | JAK1 | Rheumatoid arthritis | 2 | C | NCT01626573 |
Plaque psoriasis | 2 | C | NCT01634087 | ||
Myeloproliferative neoplasms | 2 | C, C | NCT03144687, NCT01633372 | ||
Non-small cell lung cancer | 2 | A | NCT03425006 | ||
Graft versus host disease | 2 | R | NCT04200365 | ||
Hemophagocytosis lymphohistiocytosis | 2 | N | NCT05063110 | ||
B-cell lymphoma | 1/2 | C, A | NCT02018861, NCT02760485 | ||
Leukemia (acute myeloid, acute lymphocytic, myelodysplastic syndrome) | 1 | R | NCT03755414 | ||
T-cell leukemia | 1 | R | NCT03989466 | ||
Hepatocellular carcinoma | 1 | R | NCT04358185 | ||
Sarcoma | 1 | R | NCT03670069 | ||
SHR0302 | JAK1 | Rheumatoid arthritis | 3 | R | NCT04333771 |
Ankylosing spondylitis | 2/3 | R | NCT04481139 | ||
Atopic dermatitis | 2/3 | R | NCT04717310 | ||
Ulcerative colitis | 2 | C | NCT03675477 | ||
Crohn's disease | 2 | C | NCT03677648 | ||
Upadacitinib | JAK1 | Inflammatory bowel disease (Crohn's disease) | 3 | A | NCT03345823 |
Atopic dermatitis | 3 | A | NCT04195698 | ||
Axial spondyloarthritis | 3 | A | NCT04169373 | ||
Baricitinib (INCB28050, LY3009104) | JAK1/2 | Atopic dermatitis | 3 | C | NCT03435081 |
Juvenile idiopathic arthritis | 3 | A | NCT03773978 | ||
Sjogren's syndrome | 1/2 | C | NCT04916756 | ||
Graft versus host disease | 1 | R | NCT04131738 | ||
Momelotinib (CYT387) | JAK1/2 | Myelofibrosis (primary, post-polycythemia vera, post-essential thrombocythemia) | 3, 2 | C, C | NCT02101268, NCT01969838 |
Jaktinib | JAK1/2 | Myelofibrosis (primary, post-polycythemia vera, post-essential thrombocythemia) | 2 | R | NCT04217993 |
Acute graft versus host disease | 2 | N | NCT04971551 | ||
Atopic dermatitis | 1/2 | R | NCT04435392 | ||
Ruxolitinib (INCB018424) | JAK1/2 | Alopecia areata | 4 | C | NCT03800979 |
Myelofibrosis | 4 | C | NCT01558739 | ||
Acute promyelocytic leukemia | 4 | R | NCT04446806 | ||
Polycythemia vera | 3 | C, C | NCT02038036, NCT02292446 | ||
Atopic dermatitis | 3 | C, R | NCT03745651, NCT04921969 | ||
Graft versus host disease | 3 | A | NCT03112603 | ||
Vitiligo | 3 | A | NCT04057573 | ||
TLL018 | JAK1/TYK2 | N/A | 1 | C | NCT04243083 |
Tofacitinib (CP-690550) | JAK1/JAK3 | Alopecia areata | 4 | C | NCT03800979 |
Ulcerative colitis | 4 | A | NCT03281304 | ||
Rheumatoid arthritis | 3 | C | NCT00661661 | ||
Juvenile idiopathic arthritis | 3 | C | NCT02592434 | ||
Inflammatory eye disease | 2 | A | NCT03580343 | ||
VR588 (KN002) | JAKs | Severe asthma | 1 | C | NCT02740049 |
Brepocitinib (PF-06700841) | JAK1/TYK2 | Psoriatic arthritis | 2 | C | NCT03963401 |
Systemic lupus erythematosus | 2 | R | NCT03845517 | ||
Cicatricial alopecia | 2 | R | NCT05076006 | ||
AZD1480 | JAK2 | Myelofibrosis (primary, post-polycythemia vera, essential thrombocythemia) | 1 | C | NCT00910728 |
Gandotinib (LY2784544) | JAK2 | Myeloproliferative neoplasms (essential thrombocythemia, polycythemia vera) | 1, 2 | C, A | NCT01520220, NCT01594723 |
Fedratinib (SAR302503) | JAK2 | Myelofibrosis | 2 | C | NCT01523171, NCT01420770 |
Polycythemia vera, essential thrombocythemia | 2 | C | NCT03755518, NCT03952039 | ||
Ilginatinib (NS-018) | JAK2 | Myelofibrosis (primary, post-polycythemia vera) | 1/2, 2 | C, N | NCT01423851, NCT04854096 |
Pacritinib (SB1518) | JAK2 | Lymphoid malignancy (Hodgkin’s, mantle cell, indolent) | 2 | C | NCT01263899 |
Prostate cancer | 2 | R | NCT04635059 | ||
Myelofibrosis (essential thrombocythemia, polycythemia vera) | 1,2 | C | NCT00745550 | ||
Acute myeloid leukemia | 1 | C | NCT02323607 | ||
TQ05105 | JAK2 | Myelofibrosis | 2 | N | NCT05020652 |
Chronic graft versus host disease | 1/2 | R | NCT04944043 | ||
Hemophagocytic lymphohistiocytosis | 1 | R | NCT04326348 | ||
Myeloproliferative neoplasms | 1 | R | NCT04339400 | ||
Decernotinib (VX-509) | JAK3 | Rheumatoid arthritis | 2, 2/3 | C, C | NCT01052194, NCT01830985 |
Ritlecitinib (PF-06651600) | JAK3 | Alopecia areata | 2 | C | NCT02974868 |
Rheumatoid arthritis | 2 | C | NCT02969044 | ||
PF-06826647 | TYK2 | Psoriasis | 2 | C | NCT03895372 |
Danvatirsen (AZD9150) | STAT3 | Carcinoma (non-small cell lung, pancreatic) | 2 | A | NCT01839604, NCT02983578, NCT03421353 |
Hepatocellular carcinoma | 1 | C | NCT01839604 | ||
Lymphoma (non-Hodgkin’s, DLBCL) | 1 | C | NCT03527147 | ||
TTI-101 (C188-9) | STAT3 | Cancers (breast, head and neck, non-small cell lung, hepatocellular, colorectal, advanced cancer, squamous cell carcinoma, gastric adenocarcinoma and melanoma) | 1 | R | NCT03195699 |
CpG-STAT3 siRNA CAS3/SS3 | STAT3 | Lymphoma (B-cell—various) | 1 | R | NCT04995536 |
WP1066 | STAT3 | Glioblastoma, melanoma, neoplasm (brain) | 1 | A, R | NCT01904123, NCT04334863 |
Napabucasin (BBI608) | STAT3 | Gastric and gastroesophageal cancer | 3 | C | NCT02178956 |
Colorectal carcinoma | 3 | C | NCT01830621 | ||
Pancreatic adenocarcinoma | 3 | C | NCT02993731 | ||
Glioblastoma | 1/2 | C | NCT02315534 | ||
OPB-51602 | STAT3 | Advanced cancer | 1 | C | NCT01423903 |
Hematological malignancy (multiple myeloma, non-Hodgkin’s lymphoma, acute myeloid leukemia, acute lymphoblastic leukemia, chronic myelogenous leukemia) | 1 | C | NCT01344876 |
*A, active; C, completed; N, not yet recruiting; R, recruiting
Additional STAT modifications
The framework presented has focused solely on tyrosine phosphorylation and in the context of full-length STAT proteins. However, a range of other modifications of STAT proteins are possible. These are best viewed as mechanisms to further fine tune the STAT response, generally serving to modulate a particular functional modality, for example, phosphorylation of a critical serine residue in the C-terminal domain of STAT1, STAT3, STAT5A and STAT5B, such as STAT5 by IL-2 [126]. This has been shown to positively impact on canonical STAT-mediated gene transcription, such as that induced by hypothalamic STAT3 [127] and mammary STAT5 [128]. For STAT1, this has been shown to be through increased association with histone acetylase complexes [129]. Serine phosphorylation plays a particularly important role in oncogenic STAT signaling [6, 130]. For example, serine phosphorylation of STAT5 was required for BCR-ABL-induced leukemogenesis [123], and phosphorylation of S727 on STAT3 augmented the induction of genes involve in the cellular growth and survival that contributed to progression of chronic lymphocytic leukemia [131]. However, serine phosphorylation can also mediate translocation of STAT3 molecules into mitochondria, during RAS-dependent oncogenic transformation, where it served to negatively regulate the activity of electron transport chain components complex I and complex II by a mechanism that did not require DNA binding or tyrosine phosphorylation [132]. In mammary tumors, pSTAT3 has also been shown to control ER Ca2+ flux via interacting inositol 1,4,5-triphosphate receptor (IP3R3) results proteasomal degradation of IP3R3 and inhibits oxidative/ER stress and apoptosis [133].
In addition, acetylation of lysine residues in STAT3 (K685) and STAT5 (K694) by histone acetylases has been described, such in response to cytokines such as IL-6 and prolactin, respectively [134]. Acetylation differentially regulates STATs, impacting on transcriptional activation and protein stability [135]. Acetylation at K685 in uSTAT3 is important in the formation of a stable dimer and its accumulation in the nucleus to regulate target genes [136], with STAT3 shown to be constitutively acetylated at this site in CLL [137]. Contrastingly, SUMOylation of alternative lysine resides, such as K696 in the STAT5A, can antagonize the effect of acetylation and negatively impact canonical STAT signaling through decreased tyrosine phosphorylation [18, 138, 139]. Other chemical modifications have also been reported, including methylation, oxidation and glutathionylation [140–142], but their role in normal STAT biology remains speculative. Finally, truncated versions of several STATs have been described, from either alternative splicing or proteolysis. In general, these are phosphorylated, dimerize, translocate into the nucleus and bind to the putative DNA-binding site in response to cytokines and growth factors. However, instead of transcriptional activation, they often exert a dominant-negative effect through blocking access of transactivation competent STATs and have been also implicated in disease [143–145].
Evolutionary origins of multiple STAT functional modalities
A key question regarding the multiple STAT functionalities is whether they represent specific ad hoc innovations or instead have deeper evolutionary origins. This is particularly relevant since STATs have a long evolutionary history, predating cytokine receptors and JAKs [146]. Moreover, investigations of STATs in extant primitive species have identified both canonical and non-canonical signaling modalities [147].
Evidence of ‘canonical’ inducible transcriptional activation is evident throughout metazoans, including invertebrates such as Drosophila melanogaster. This organism possesses a single STAT known as Stat92E (or Marelle), with a similar structure to mammalian STAT proteins [148, 149]. This is activated downstream of the single Drosophila cytokine receptor (Dome) and JAK (Hopscotch) [90], with pStat92E molecules inducing genes associated with immunity and development [150].
However, STAT proteins evolved prior to cytokine receptors and JAKs [146]. For example, the nematode C. elegans possesses two STAT-like proteins, STA-1 and STA-2, but no upstream cytokine receptor signaling components [116]. Indeed, STA-2 lacks the tyrosine phosphorylation motif as well as the coiled-coil domain but can act as an inducible transcriptional activator [116, 151]. This is achieved by an alternative mechanism in which epidermal injuries mediates its release from hemidesmosomes allowing it to move to the nucleus to induce the transcription of genes associated with innate immunity [152]. More primitive eukaryotes, such as the slime mold Dictyostelium discoideum, also possess STAT-like proteins—again in the absence of upstream cytokine receptor signaling components [147]. D. discoideum has four STAT proteins, STATa, STATb, STATc and STATd, composed of coiled-coil, DNA-binding and SH2 domains, but without transactivation domain and N-terminal sequences. STATa is tyrosine phosphorylated in response to extracellular cyclic AMP (cAMP) through the cyclic AMP receptor (cAR1) and translocate into the nucleus to activate genes such as cudA, thereby acting as an inducible transcriptional activator [153]. STATc can also become tyrosine phosphorylated and activate expression of genes such as gapA and rtoA in response to hyperosmotic and other stressors [154]. Finally, plants have also been shown to possess STAT-related GRAS proteins, with highly similar SH2 and DNA-binding domains to other STATs [155], which can act as transcriptional activators to regulate plant development [156, 157].
There is considerable evidence of non-canonical signaling in these organisms as well. For example, Drosophila Stat92E has been shown to participate in basal transcriptional repression, with uStat92E able to enter the nucleus and target alternate DNA sites, particularly those involving metabolic and stress-related pathways [150]. This is achieved via an evolutionarily conserved association with HP1 that induces histone methylation and heterochromatin stabilization resulting in gene repression that can enhance genome stability [79] and suppress tumor growth [158]. Dome signaling is able to mediate derepression of these target genes [125]. C. elegans STA-1, which shares a similar structure to mammalian STATs but lacks a TAD, also acts as a basal repressor, inhibiting transcription of antiviral genes in the absence of the viral infection [159]. D. discoideum STATa similarly functions as an transcriptional repressor of alternative genes such as ecmB [153], and serine phosphorylation is also important in the regulation of this STAT, being able to increase its nuclear export [160]. D. discoideum STATc can also repress other genes such as ecmA, by preventing activator binding [161]. Finally, plant GRAS proteins can function as transcriptional repressors [156, 157].
Collectively these studies imply that both canonical and non-canonical STATs signaling modalities were present early in evolution and have simply been maintained (and further diversified) along the evolutionary path to higher vertebrates, including mammals. Therefore, the framework provided is applicable across all STAT proteins. It should be noted, however, that the classical ‘canonical’ signaling paradigm can best be viewed as a relatively recent innovation within metazoans, coincident with the coalescence of a functional cytokine receptor signaling module in the common precursor of vertebrates and invertebrates [162].
Conclusion
Our knowledge of STAT proteins has progressed from a simple view of them mediating acute cytokine-mediated transcriptional responses to one where they are involved in a veritable kaleidoscope of functions, many of which impact on immunity and cancer. Notably, many of these modalities are evident in STAT proteins of divergent organisms, suggesting they have early evolutionary origins. However, there remains a gap in knowledge regarding the full breadth of roles mediated by the non-canonical modalities in physiology and disease. This review provides a framework to view these functional modalities that should contribute to filling this gap and provide new insights that will better inform precise therapeutic interventions that target the appropriate modality in disease states.
Acknowledgements
Not applicable.
Abbreviations
- CBP
CREB-binding protein
- CCD
Coiled-coil domain
- DBD
DNA-binding domain
- EPO
Erythropoietin
- ER
Endoplasmic reticulum
- GAS
Gamma-activated sequence
- GCN
General control of amino acid synthesis protein
- HP
Heterochromatin protein
- IRF
Interferon regulatory factor
- JAKs
Janus kinase
- LD
Linker domain
- N-CoR
Nuclear receptor co-repressor
- NLS
Nuclear localization signal
- Nmi
N-Myc and STAT interactor
- NTD
N-terminal domain (NTD)
- PAK
P21-activated kinase
- PDC
Pyruvate dehydrogenase complex
- PIAS
Protein inhibitor of activated STAT
- pSTAT
Phosphorylated STAT
- PTP
Protein tyrosine phosphatases
- SH2
Src homology-2
- SMRT
Silencing mediator for retinoic acid receptor and thyroid hormone receptor
- SOCS
Suppressor of cytokine signaling
- STAT
Signal transducer and activators of transcription
- TAD
Transactivation domain
- TPO
Thrombopoietin
- uSTAT
Unphosphorylated STAT
Authors' contributions
N.A., C.L. and A.C.W. drafted the paper. All authors read and approved the final manuscript.
Funding
N.A. is supported by a Deakin University Postgraduate Research Scholarship.
Availability of data and materials
Not applicable.
Declarations
Ethics approval and consent to participate
Not applicable.
Consent for publication
Not applicable.
Competing interests
The authors declare that they have no competing interests.
Footnotes
Publisher's Note
Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.
Contributor Information
Nagendra Awasthi, Email: nawasthi@deakin.edu.au.
Clifford Liongue, Email: c.liongue@deakin.edu.au.
Alister C. Ward, Email: alister.ward@deakin.edu.au
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