- Open Access
Abi1 loss drives prostate tumorigenesis through activation of EMT and non-canonical WNT signaling
Cell Communication and Signaling volume 17, Article number: 120 (2019)
Prostate cancer development involves various mechanisms, which are poorly understood but pointing to epithelial mesenchymal transition (EMT) as the key mechanism in progression to metastatic disease. ABI1, a member of WAVE complex and actin cytoskeleton regulator and adaptor protein, acts as tumor suppressor in prostate cancer but the role of ABI1 in EMT is not clear.
To investigate the molecular mechanism by which loss of ABI1 contributes to tumor progression, we disrupted the ABI1 gene in the benign prostate epithelial RWPE-1 cell line and determined its phenotype. Levels of ABI1 expression in prostate organoid tumor cell lines was evaluated by Western blotting and RNA sequencing. ABI1 expression and its association with prostate tumor grade was evaluated in a TMA cohort of 505 patients and metastatic cell lines.
Low ABI1 expression is associated with biochemical recurrence, metastasis and death (p = 0.038). Moreover, ABI1 expression was significantly decreased in Gleason pattern 5 vs. pattern 4 (p = 0.0025) and 3 (p = 0.0012), indicating an association between low ABI1 expression and highly invasive prostate tumors. Disruption of ABI1 gene in RWPE-1 cell line resulted in gain of an invasive phenotype, which was characterized by a loss of cell-cell adhesion markers and increased migratory ability of RWPE-1 spheroids. Through RNA sequencing and protein expression analysis, we discovered that ABI1 loss leads to activation of non-canonical WNT signaling and EMT pathways, which are rescued by re-expression of ABI1. Furthermore, an increase in STAT3 phosphorylation upon ABI1 inactivation and the evidence of a high-affinity interaction between the FYN SH2 domain and ABI1 pY421 support a model in which ABI1 acts as a gatekeeper of non-canonical WNT-EMT pathway activation downstream of the FZD2 receptor.
ABI1 controls prostate tumor progression and epithelial plasticity through regulation of EMT-WNT pathway. Here we discovered that ABI1 inhibits EMT through suppressing FYN-STAT3 activation downstream from non-canonical WNT signaling thus providing a novel mechanism of prostate tumor suppression.
Prostate cancer (PCa) is the most prevalent visceral cancer affecting the male population worldwide and the second highest cause of cancer-related death in the Western population . While indolent PCa is treatable, metastatic cancer invariably has a high mortality rate , thus warranting studies of PCa progression mechanisms and development of new therapeutic targets.
Several growth control pathways have been implicated in high-risk prostate cancer. Prostate tissue growth is driven by androgen. Prostate tumors exhibit different levels of androgen dependency and are characterized by deregulation of androgen pathway signaling . Aggressive prostate cancer has been linked to Androgen Receptor (AR) activation, which occurs through multiple mechanisms, including intra-tumor androgen production . AR pathway upregulation coincides with activation of PI3-kinase  or RAS/MAPK kinase, indicating the importance of targeting these pathways in high-risk tumors . Bioinformatic inquiries over the last decade have resulted in a better understanding of signaling pathways and genetic alterations associated with prostate cancer initiation  and metastatic progression [8, 9]. Our previous studies implicated ABI1 downregulation in high-risk prostate tumors , but the mechanism underlying Abi1 tumor suppressor activity is unclear.
Epithelial to mesenchymal transition (EMT) is a key pathway in prostate tumor progression. EMT is characterized by the loss of cell-cell adhesion markers, such E-cadherin and β-catenin, accompanied by an increase in cell migration and invasiveness due to activation of a specific transcriptional program. Transcriptional regulators, such as TWIST, SNAI1, SNAI2, ZEB1, and ZEB2, repress E-cadherin expression, while others promote the expression of mesenchymal differentiation markers, such as N- and/or R-cadherin and vimentin, as well as the expression of cellular matrix and focal adhesion proteins that promote motility, such as focal adhesion kinase and integrins . EMT is also accompanied by increased activity of matrix metalloproteinases, which leads to degradation of the extracellular matrix and increases the ability of cells to invade and metastasize. When the invading cells seed the metastasic site, they may undergo the reverse process, mesenchymal to epithelial transition (MET), and adapt to the local microenvironment . EMT has been linked to advanced prostate cancer, enhanced metastatic potential, neuroendocrine transdifferentiation, and castrate resistance prostate cancer (CRPC) . There is increasing evidence that androgen deprivation therapy (ADT) therapy itself, in the long run, might induce EMT and treatment resistance [14, 15], and hence, it has become an important focus of research investigations.
There is strong evidence that EMT can be activated in prostate cancer not only by growth factor receptors and TGFβ  or by specific pathway mutations  but also by activation of the WNT pathway [8, 17]. In the canonical WNT pathway, β-catenin translocates from the plasma membrane to the nucleus and activates a transcriptional program that promotes EMT . In other cancers, such as colon cancer, the canonical WNT pathway is typically associated with APC mutations or deletions , but canonical WNT pathway alterations are also seen in advanced prostate cancer, which together with β-catenin and RNF43 mutations occur in approximately 15% of cases . In a recent study, the noncanonical β-catenin-independent WNT pathway, represented by WNT5, FZD2, FYN, and STAT3 , was found to be associated with high-risk prostate cancer .
STAT3 is a master regulator of tumor progression and EMT. STAT3 plays a pivotal role in progression of many tumor types, including prostate cancer tumors  . STAT3 is activated downstream from a variety of cellular receptors, including growth factor receptors, (EGF, VEGF, PDGF), non-receptor tyrosine kinases (such as ABL, SFK), G-protein-coupled receptors, Toll-like receptors, and cytokine receptors (such as IL6 receptor) . In addition to its tumor-autonomous role, STAT3 helps to suppress tumor immune responses through its activation in myeloid-derived suppressor cells . In high-grade tumors, STAT3 activation (STAT-pY705) is associated with increased levels of Hsp27 . However, how STAT3 activation is regulated to promote progression of prostate tumors is still unclear.
The hallmark mechanism of EMT in tumor progression is loss of cell-cell adhesion [11, 26]. Epithelial cell-to-cell adhesion is regulated at zonula adherens, where the transmembrane protein E-cadherin acts through α- and β-catenin to link adherens junctions to the actin cytoskeleton. The heteropentameric WAVE complex comprising ABI 1/2/3, WAVE 1/2/3, CYFIP 1/2, NAP 1/2, and BRK1 regulates ARP2/3-dependent actin dynamics at cell junctions . ABI1, a component of the WAVE complex, was proposed to act upstream of mDia in cell-cell junctions in siRNA studies . Genetic loss of Abi1 causes destabilization and degradation of the WAVE complex , consistent with in vitro studies [30, 31]. Upregulation of WAVE3 has been associated with EMT in tumor progression . However, the role of ABI1 in promoting EMT is not known.
ABI1 regulates tumor invasiveness through integrin signaling. Loss of Abi1 phenocopies integrin α4 knockout during embryonic development in the mouse . Integrin recycling occurs through macropinocytosis via rapid recycling of dorsal ruffles, and ABI1 is the critical regulator of dorsal ruffling  and fluid phase macropinocytosis . Abi1 was linked to regulation of integrin in preclinical models of breast cancer , and leukemia . However, the impact of ABI1 loss on integrin expression in the prostate epithelium or in prostate tumors is not known.
ABI1 is associated with 10p deletions in prostate cancer , along with ABI1 mutations and deletions being identified within the gene itself [10, 38]. In addition, the prostate cancer cell line LNCaP has a mutation in ABI1 ; re-expression of ABI1 inhibits prostate tumor xenograft growth . Disruption of Abi1 expression in the mouse leads to prostatic intraepithelial neoplasia (PIN) with high penetrance in all lobes, and loss of Abi1 is associated with downregulation of E-cadherin, which together with the PIN phenotype suggests a role of Abi1 in prostate tumor initiation . Moreover, ABI1 is downregulated in castration-resistant prostate cancer, thus indicating that it might be important in tumor progression .
Here, we investigated the mechanistic roles for ABI1 loss in prostate cancer progression. Analysis of metastatic prostate tumor cell lines and a prostate tumor tissue microarray indicated that low Abi1 expression preferentially affects high-grade prostate tumors. Modeling of ABI1 loss via CRISPR-mediated KO in the non-tumorigenic prostate cell line RWPE-1 defined the expression signature, which was consistent with activation of EMT through increased levels of pY705 STAT3. Our mechanistic analysis supports the hypothesis that Abi1 acts downstream of the non-canonical WNT receptor FZD2 and upstream of the active FYN-STAT3 axis to control epithelial plasticity through an EMT program.
Low Abi1 expression is associated with high-grade prostate cancer and biochemical recurrence
Our previous studies identified the loss of heterozygosity in ABI1 gene locus , however, the mechanism of ABI1 role as a tumor suppressor in prostate cancer is poorly understood. Staining of a test tumor tissue microarray (32 cases) with ABI1 antibody demonstrated a remarkable loss of ABI1 expression in tumors with high Gleason grade (Additional file 1: Figure S1A). To validate this observation, we analyzed ABI1 expression in large cohort of prostate cancer patients (n = 505) (Fig. 1B). The quantification took into consideration intra-core heterogeneity (Additional file 1: Figure S1B), as we scored ABI1 expression in Gleason patterns 3, 4 and 5 separately. Digital scoring results demonstrated significant loss of ABI1 expression in Gleason 5 vs. Gleason 3 (p = 0.0012) or Gleason 4 (p = 0.0025) patterns, respectively (Fig. 1B). Hence, the most aggressive prostate tumors are associated with low ABI1 expression. To determine clinical significance of this finding we performed correlation analysis of ABI1 expression levels, as determined by digital score, with patient disease recurrence status (PSA biochemical recurrence, metastasis, and death). Low ABI1 expression showed a positive correlation with biochemical recurrence, a metastatic event, and death (p = 0.038) across all 505 VPC patients (Fig. 1C) (Contingency Table, Additional file 1: Figure S1B).
Patient-derived prostate cancer organoid cell lines have low and dysregulated expression of Abi1 isoforms
Here, we analyzed ABI1 expression in prostate tumor cell lines and patient-derived prostate tumor organoid cell lines (PCa1, 2 and 3) . All three PCa organoid cell lines showed reduced levels and loss of one or more ABI1-immunoreactive bands (Fig. 1D, left panel). Low levels of ABI1 expression were also observed in VCaP, (Fig. 1D, left panel), PC3, DU145, and LNCaP prostate cancer cell lines (Fig. 1D, right panel). RWPE-1 (a human non-tumor prostate cell line) expressed relatively high levels of ABI1; RNA sequencing analysis was consistent with RWPE-1 expressing three ABI1 isoforms, isoforms 2, 3, and 5 . ABI1 expression in the normal human prostate organoid cell line (26Nb) matched closely RWPE-1 (Fig. 1D, right panel).
Sequence analysis revealed mutations in ABI1 cDNA in two metastatic PCa cell lines, MSK-PCa1, and MSK-PCa2. In both cases ABI1 cDNA contains large deletions and premature stop codons (Fig. 1E). These mutations may be a cause of lower level of ABI1 and dysregulation of ABI1 isoforms by Western Blotting analysis (Fig. 1D).
CRISPR/Cas9-mediated ABI1 KO in RWPE-1 cell lines disrupts the WAVE complex
To better understand the role of ABI1 as a tumor suppressor in prostate cancer and define ABI1-regulated pathways, we sought to generate a prostate epithelial cell line lacking ABI1 gene expression. Examining the effects of ABI1 disruption without the confounding influence of tumorigenic mutations would be very informative; therefore, we selected the benign RWPE-1 prostate epithelial cell line. To generate an ABI1 KO cell line, we used CRISPR-Cas9 technology to obtain genetic knockout in RWPE-1 cells (Material and methods). Following single clone selection and isolation, clones lacking ABI1 expression were confirmed by DNA sequencing to have two alleles of the ABI1 gene disrupted (Additional file 2: Figure S2). While the RWPE-1 naïve cell line exhibits three prominent expression bands immunoreactive to ABI1 antibody that correspond to Abi1 isoforms 2,3 and 5 , no bands were detected in the ABI1 KO clones (Fig. 2A, B). The screening of the clones included examination of WAVE2 expression, which is the key component of the WAVE complex, which is downregulated in mice with genetic knockout of Abi1 . WAVE2 downregulation coincided with loss of Abi1 expression in all KO clones (Additional file 2: Figure S2). As controls, we used clones with an intact Abi1 gene but that underwent all the selection processes (CRISPR-failed clones); these clones also served as controls for off-target effects in the rescue experiments. The rescue experiments were performed with stable clones derived from RWPE-1 ABI1 KO clone 35 expressing isoforms 2 and 3 of ABI1 .
First, we determined the levels of the WAVE complex in RWPE cell lines lacking ABI1. ABI1 KO cell lines displayed significant downregulation of the WAVE complex proteins WAVE1, WAVE2, WAVE3, CYFIP1 and NAP1, which was rescued by re-expression of ABI1 (Fig. 2). BRK1 demonstrated modest elevation to no change in expression in Abi1 KO cell lines. Notably, ABI2 and ABI3 were not affected in the Abi1 KO cell lines. The uniform effect of ABI1 disruption on WAVE proteins indicates global downregulation of ABI1-related WAVE complex components in RWPE-1 KO cell lines. Interestingly, this change was only at the protein level; RNA sequencing analysis showed no effect on mRNA levels of the WAVE complex genes (Fig. 2A, bottom panel).
ABI1 knockout leads to disrupted cell-cell adhesion via altered levels and localization of the adherens junction proteins E cadherin and β-catenin
Proper cell-cell adhesion is the key to maintaining epithelial integrity, and alterations in cell-cell adhesion have been shown to be key mediators of neoplastic changes. The WAVE complex and ABI1 have been linked to regulation of cell-cell adhesion [27, 28]. Our previous research showed reduced levels of E-cadherin and β-catenin in Abi1 KO mouse prostate tissue , and analogous regulation of N-cadherin and β-catenin was demonstrated in MEF cell lines (Additional file 3: Figure S3). Therefore, we looked at levels and localization of adherens junction markers in RWPE-1 ABI1-KO cell lines. Immunostaining data showed a significant reduction in the membrane localization of both proteins. The rescue clones with either ABI1 isoform 2 or 3 restored the levels and localization of E-cadherin and localization of β-catenin (Fig. 3A, B). However, we observed only modest E-cadherin downregulation but unchanged β-catenin expression at the protein level (Fig. 3C).
Loss of ABI1 leads to increased 2D motility in RWPE-1 Abi1 KO cells
ABI1 and the WAVE complex regulates the actin cytoskeleton, and thus, we hypothesized that loss of ABI1 would affect cell adhesion and migration. We investigated the 2D motility of ABI1 KO cells by performing a wound healing assay. Interestingly, the cells lacking Abi1 exhibited an increased migratory ability vs. the parental cell line (Fig. 4A, B). The effect could not be attributed to increased proliferation of ABI1 KO cells because no significant differences in proliferation among the clones were observed, despite activation of phospho-Akt (Additional file 4: Figure S4). Furthermore, the phenotype was almost completely reversed in the Isoform 2-expressing rescue cell line but partially reversed in the Isoform 3-expressing cell line. Hence, ABI1 may have isoform-specific roles in cells , and the different isoforms may contribute differently to tumorigenic changes as previously suggested .
ABI1-null cells exhibit a migratory and invasive phenotype in 3D cultures
3D matrices, such as Matrigel, provide a more physiological-like environment for epithelial cells. To delineate the ABI1 phenotype, we plated cells on collagen-coated glass and overlaid cells with Matrigel. Interestingly, the ABI1 null cells grew in a flat 2D-like manner on the surface, while the control cells grew into spheroids upward into the overlaid Matrigel (Fig. 4C). These phenotypes support the notion that Abi1 loss promotes invasive behavior of epithelial cells.
Furthermore, when plated and embedded within Matrigel, RWPE-1 parental cells grew into tight clusters or spheroids, with intimately defined cell-cell boundaries; the spheroids constantly spun around their own axes (Fig. 4D top panel, Fig. 5A-B, Additional file 8: Movie S1a, S1b). To investigate if loss of ABI1 altered this organoid morphology and behavior of RWPE-1 cells, we imaged the 3D cultures of both control and ABI1 KO cells live overnight. The ABI1-null spheroids exhibited striking differences compared with control spheroid with intact ABI1 (Fig. 4D, Fig. 5A-B, C-D, Additional file 8: Movie S1a, S1b, S1c, S1d). We observed that most ABI1 KO spheroids lost the tight spherical shape, demonstrated enhanced cell boundaries, and grew more as a loose bunch of cells with a “grape-like morphology” (Fig. 5G). Moreover, a significant fraction of organoids did not show the spinning phenotype (Additional file 8: Movie S1c, S1d). Most interestingly, the cells were found to be sending out lamellipodia-like or filopodia-like projections and were starting to migrate out of the organoid (Fig. 5H). The ABI1-null clones rescued with either isoform 2 or 3 largely regained the naïve cell phenotype (Fig. 5E-F, Additional file 8: Movie S1e, S1f).
ABI1 depletion promotes upregulation of the EMT pathway
To better understand the molecular changes underlying the ABI1-null phenotype, we performed RNA seq. (Materials and Methods). The wild-type RWPE-1, two CRISPR-control (failed CRISPR) clones, and three ABI1 KO clones were subsequently sequenced, and analysis of RNA sequences indicated no significant differences within the clones with intact ABI1 or between the three ABI1 KO clones. However, 441 differentially expressed genes (DEGs) were identified between the two groups (Additional file 7).
We performed several bioinformatic analyses to define ABI1 functional associations with other pathways based on its gene signature. Pathway analysis (GO, Panther) demonstrated involvement of ABI1 in several developmental processes (Table 1). Reactome analysis indicated association of Abi1 function with cell-surface interaction at the vascular wall and integrin cell-surface pathways (Table 1). Notably, analysis of WAVE complex gene mRNA levels indicated no significant changes in several integral WAVE complex proteins in the absence of ABI1 (Fig. 2A). These results indicate high discordance between the protein and mRNA expression of WAVE complex components and confirm its regulation based on complex stability [30, 31] and the requirement for ABI1 in the complex  (Fig. 2).
To understand the mechanism by which ABI1 removal results in gain of an invasive phenotype in RWPE-1 cells, we investigated changes in RNA levels of known tumor-associated pathway genes. Notably, we identified the epithelial-mesenchymal transition (EMT) pathway to be significantly activated, including upregulation of R-cadherin and MMP1 and downregulation of Occludin (Fig. 6A) (Table 2, Additional file 7). Protein levels corroborated the mRNA results for Cytokeratin 8, Fibronectin 1, FOXA2, SLUG, and Integrin α5 (Fig. 6A). There were also changes in several other integrin expression patterns. We observed upregulation of Integrin α3, αX, β1 and β2 (Fig. 6A) and reduced levels of integrin β4. Abi1 re-expression rescued the upregulation of EMT pathway genes as well as the alterations in integrin expression (Fig. 6A). Moreover, upregulation of phosphorylation of FAK at Y925 was evident and was rescued by re-expression of ABI1 Isoform 2 but not isoform 3 (Fig. 6A).
Loss of ABI1 leads to activation of STAT3 downstream of the non-canonical WNT5a FZD2 receptor
RNA sequencing analysis indicated that ABI1 depletion promoted non-canonical WNT signaling (Fig. 6A). Of particular interest was upregulation of the non-canonical FZD2 receptor, which can be stimulated with WNT5a ligand in metastatic tumor cell lines . Moreover, we observed increased phosphorylation of STAT3 on tyrosine 705 and serine 727 in ABI1 KO cell lines (Fig. 6B), thus indicating transcriptional activation of STAT3 upon its nuclear translocation . We also found that the Src family kinase FYN, which is also implicated in the pathway was upregulated in one of the cell lines (Fig. 6B). Re-expression of ABI1 rescued the activation of STAT3 back to the wild-type level. STAT3 was co-immunoprecipitated with ABI1 and FYN, thus confirming the ABI1-FYN-STAT3 axis (Fig. 6C). Experiments using the recombinant ABI1 isoforms and a different set of FYN antibodies also confirm the complex immunoprecipitation (Additional file 6: Figure S6A-D). Moreover, ABI1 loss led to enhanced nuclear localization of activated pSTAT3 Y705 as indicated by subcellular fractionation (Fig. 6D) and immunofluorescence localization experiments (Fig. 6E-F). Phosphorylated nuclear pSTAT3 Y705 can be observed in PCa tumors with low ABI1 expression (Fig. 6G).
Here, we investigated ABI1 downregulation as a mechanism by which prostate tumors gain invasive and metastatic potential. Examination of tumor tissue indicated low ABI1 expression in in patients with high-grade prostate tumors and an association between low ABI1 and clinically significant events (biochemical recurrence, metastasis, and death). These data support the role of ABI1 gene inactivation in prostate tumor progression. Although ABI1 gene loss has previously been associated with highly aggressive metastatic prostate tumors , the mechanism by which inactivation of ABI1 promotes invasion remained unclear.
Downregulation of ABI1 expression in tumor tissue is associated with tumor progression from low to high-grade tumors
Digital image analysis of ABI1 expression indicated significant downregulation of the protein expression in Gleason 5 pattern in comparison to pattern 3 and 4 tumors. Gleason pattern 5 is characterized by loss of glandular structure, sheets of cells and single cells with mesenchymal-like morphology. This observation is consistent with downregulation of cell-cell adhesion promoting loss of gland morphology due to loss/downregulation of ABI1 and its role in promoting epithelial to mesenchymal transition. Moreover, the apparent upregulation of ABI1 levels in the transition from benign to low grade tumors indicate a potential failsafe mechanism that initially prevents tumor progression, which when broken, leads to aggressive tumors with high metastatic potential.
Downregulation of ABI1 occurs through mutations, deletions, and aberrant splicing
Mutations of ABI1 in prostate cancer are not very common but are evident in tumor sequencing data [10, 38] and PCa cell lines. The mutations lead to low ABI1 expression (see Fig. 1b). DU145 cells have a mutation in the SH3 domain of ABI1, M468I (cBioportal, . The LNCaP cell line has an aberrant splice site ABI1-exon 6 skipping mutation affecting the interactions with c-ABL and the p85 subunit of PI3 kinase [43, 44]. Moreover, there were striking aberrations in the expression of alternative spliced variants of Abi1 in prostate cancer cell lines and tumor organoids identified here (Fig. 1C-D). The ABI1 gene has been listed as one of the top splice-isoform dysregulated genes in human cancer . Moreover, ABI1 is target of splicing factor SRRM4, which is overexpressed in neuroendocrine prostate cancer (NEPC) . Interestingly, NEPC tumors and NEPC cell line models exhibit expression of specific splice variants of ABI1 [46, 47]. Isoform splice aberrations may not be related to simple splicing events or somatic mutation events ; hence, the mechanism by which ABI1 downregulation contributes to prostate tumorigenesis may extend beyond the overall protein level downregulation.
Apart from the consequences of loss of Exon 6 discussed above, ABI1 isoforms exhibit functional differences in regulating actin cytoskeleton dynamics through loss of exon 10 mutations  and binding to activated RAC1  or ENA/VASP , which may contribute to the role of ABI1 in regulating tumorigenic phenotype, as demonstrated here by differential rescue of the ABI1-null phenotype (compare the isoform 2 and 3 rescue effect shown in Fig. 4 and Fig. 5). The mechanism of ABI1 isoform dysregulation is unknown, but the evidence of widespread downregulation of ABI1 in high-grade prostate tumors (PCa-1 and 2 cell lines) warrants further inquiries.
We propose that ABI1 loss induces an invasive phenotype through two major mechanisms, activation of the EMT program and loss of stability of the WAVE complex, leading to disruption of cell-cell adhesion
The spheroid model demonstrates a critical role of ABI1 in cell-cell adhesion. ABI1 and proteins of the WAVE complex have been found to have key roles in formation and maintenance of proper epithelial cell-cell adhesion [27, 28, 49]. Downregulation of E-cadherin was found in the Abi1 KO mouse prostate, which demonstrated loss of epithelial architecture and hyperproliferation . These findings indicate loss of cell-cell adhesion as a mechanism contributing to tumor suppression due to ABI1 loss.
Induction of a migratory phenotype upon dysregulation of integrin signaling supports the role of ABI1 in controlling invasion
Significant evidence has demonstrated the critical role of integrins in the prostate cancer invasive phenotype and bone metastasis . Abrogation of β1 integrin signaling decreased metastasis to bone and lymph nodes by PC3 cells . Moreover, αVβ6 promotes MMP2 activity . RWPE-1 ABI1 KO cells demonstrated upregulation of MMP1 in RNA sequencing data and simultaneous upregulation of several integrins, which is consistent with the high migratory activity of the 3D spheroids lacking ABI1.
Genome-wide expression and pathway analysis of RNA sequencing data points to Abi1 as a key regulator of integrin signaling
Integrin α3, 5, X, β1 and 2 were upregulated in the absence of ABI1 but rescued by re-expression of ABI1. Considering the fact that integrin recycling occurs via rapid recycling of dorsal ruffles and that ABI1 is the critical regulator of dorsal ruffling  , we propose that loss of ABI1 impedes cytoplasmic recycling of integrins, thus leading to increased integrin levels. Interestingly, β4 integrin is downregulated in ABI1 KO cell lines. The mechanism underlying this observation is unclear, but the Abi1 KO phenotype is consistent with the invasive phenotype of siRNA-mediated β4 integrin disruption in RWPE-1 cells . The global effect on integrin levels in RWPE-1 ABI1 KO cells indicate a critical role of ABI1 in integrin function and thus in regulating the invasive potential of cells. ABI1 might directly interact with integrins, as demonstrated for α4 , and/or regulate the actin polymerization input into focal adhesions through the WAVE complex. In the absence of ABI1/WAVE complex activity, other actin regulatory complexes, such as NWASP, have been proposed to regulate Apr2/3-dependent actin polymerization to promote invasion , but we did not observe upregulation of NWASP (Additional file 4: Figure S4). Notably, we observed increased FAK phosphorylation, thus supporting activation of integrin signaling downstream of FAK. Activation of FAK also provides potential pathway for STAT3 activation either through direct interaction  or through FYN [56, 57]. The latter interaction is controlled by ABI1, thus further supporting the tumor suppressor role of ABI1.
ABI1 controls the invasive phenotype by suppressing the non-canonical WNT signaling
Gain of mesenchymal EMT markers (Fig. 6A) upon ABI1 disruption and simultaneous upregulation of the non-canonical WNT signaling signature support the hypothesis that ABI1 negatively regulates the WNT5a-activated pathway by sequestering SRC family kinases. This pathway is activated in invasive tumors  and was demonstrated in high-grade prostate cancer . We previously reported ABI1 phoshotyrosine pY421 binding to the SH2 domain of Src family kinases; the FYN-SH2 domain displays particularly high affinity . Moreover, the ABI1 KO RWPE1 cell line expresses FYN and FZD2. Loss of Abi1 leads to STAT3 activation and enhanced nuclear localization, which can be rescued by ABI1 re-expression; ABI1 is found in the complex with FYN and STAT3 (Fig. 6C, Additional file 6: Figure S6), although it is not clear whether ABI1 interacts with STAT3 directly or this occurs through FYN. In summary, we propose that ABI1 acts as a gatekeeper to sequester FYN-mediated activation of the signal between FZD2 receptor and STAT3-dependent activation of EMT transcription (Fig. 6C). The WNT5a-FZD2-STAT3 pathway is activated in high-grade prostate tumors , as well as in liver, lung, colon and breast cancer cell lines . Inactivation of ABI1 in bone marrow also leads to activation of STAT3, hence ABI1 is likely to be universal regulator of the STAT3 pathway . The absence of nuclear localization of β-catenin or phosphorylation changes in RWPE-1 ABI1 KO cells (Additional file 5: Figure S5) and the lack of evidence of a β-catenin driven TCF/LEF transcriptional signature suggests that ABI1 does not play a role in the canonical β-catenin-dependent WNT pathway, at least in epithelial cells.
We investigated the mechanism for ABI1 loss in prostate tumor progression. Downregulation of ABI1 is associated with the high-grade of prostate tumors and is evident in metastatic prostate cell lines. Our mechanistic results support the hypothesis that Abi1 acts downstream of the non-canonical WNT receptor FZD2 and upstream of the active FYN-STAT3 axis to control epithelial plasticity through an EMT program. Hence, ABI1 is a gatekeeper of epithelial tumor invasiveness.
Materials and methods
A small tissue microarray (TMA) was constructed using prostate cancer tissues from 32 patients who underwent radical prostatectomy from 2000 to 2012 at Kingston Health Services Center (KHSC). Prostatectomy slides were reviewed and regraded by two urologic pathologists (TJ and DMB) according to ISUP 2014 guidelines (GG1, n = 15; GG2, n = 3; GG ≥ 3, n = 13), and cases were distributed on the TMA (see also Additional file 7). Recurrence was defined as two PSA values of ≥0.2 ng/ml after prostatectomy and/or notation of recurrence in the patient’s chart (recurrence, n = 12 (37.5%)). Triplicate 0.6-mm cores were harvested from both high- and low-grade cancer areas as well as benign glands from the same case. The study was approved by institutional Ethics Review Boards at Queen’s University. Immunostaining of ABI1 (Cell Signaling Technology cat. #39444) was performed at Histowiz, Inc., Brooklyn NY 11226.
The Vancouver Prostate Centre Pathology Core Predictive Tissue Microarray Series was built from 505 radical prostatectomies obtained from Vancouver General Hospital. The patients were not exposed to any type of therapy before surgery. The patients had more than 5 years of follow-up time as well as complete clinical data. The TMAs were constructed semi-automatedly by punching duplicate 1-mm cores from each specimen using a TMArrayer from Pathology Devices with an attached Leica M50 stereo microscope. The morphology of each core was scored using the currently recommended ISUP Gleason grouping standards i.e. WHO Grade Groups (Epstein et al., Am J Surg Pathol. 2016; 40:244–52). WHO Grade Groups in this TMA series reflect the normal distribution of scores, with Group 1 and 2 being 60%, Group 3 and 4 being 32% and group 5 being 8%. See Additional file 1: Figure S1B, Contigency Table 1 detailing the heterogeneity of ABI1 expression in cores. To address the intra-core heterogeneity ABI1 expression was evaluated by digital imaging for each Gleason pattern. Using the Leica/ Aperio image scope software, the area of interest, in this case, the specific Gleason pattern were selected and annotated. The software runs an algorithm based system to quantify the number of pixels by their intensity and normalised the data by the selected area and creates an automated macro. The automated digital image analysis was performed using Aperio Positive Pixel Count. The final core is represented by a number from 0 to 1. One-way ANOVA was used for expression analysis among Gleason patterns 3–5. Linear-by-Linear association exact test (Sytel Studio-9) was used for ABI1 expression correlation with variables (biochemical recurrence, metastasis, and death).
Immunohistochemistry was performed on TMA sections with the automated immunohistochemistry staining platform DISCOVERY ULTRA (Ventana Medical Systems, Inc.). Antigen retrieval was conducted with Cell Conditioning 1 (CC1) (Ventana) at 95 °C for 64 min. Slides were incubated with a 1:200 dilution of Abi1 antibody (Cell Signaling Technologies, 39444S) at room temperature for 2 h. For detection, a DISCOVERY ChromoMap DAB Kit, anti-HQ HRP, and anti-rabbit HQ (Ventana) were used. Digital images of stained TMAs were acquired with an SCN400 Slide Scanner (Leica Microsystems). Positively stained cells were analyzed with Aperio ImageScope (Leica Biosystems).
Cells and culture
MSK-PCa1, MSK-PCa2, and MSK-PCa3 metastatic human prostate cancer cells and normal-26Nb human prostate cells  were grown in human organoid media as described in  with the following exceptions: recombinant R-spondin 1 (Peprotech, NJ) and noggin (Peprotech) were added to the organoid media at 500 ng/ml and 100 ng/ml, respectively, as described in . RWPE-1 non-tumor human prostate cells (ATCC) were cultured using a keratinocyte serum-free medium kit (Life Technologies, IL) containing 0.05 mg/ml bovine pituitary extract, 5 ng/ml epidermal growth factor, and 5 μg/ml gentamicin (Life Technologies). NIH-3 T3 mouse embryonic fibroblasts (ATCC) and VCaP human prostate cancer (ATCC) cells were grown in DMEM containing 4.5 g/L glucose, 584 mg/L L-glutamine, and 110 mg/L sodium pyruvate (Corning, Tewksbury, MA) and further supplemented with 100 U/ml penicillin/streptomycin (Corning), 1X non-essential amino acids (Corning), 10 mM HEPES (Corning), and either 10% bovine calf serum (HyClone, Logan, UT) for NIH-3 T3 cells or 10% fetal bovine serum (HyClone) for VCaP cells.
Organoid RWPE-1 cell cultures were established in 50–60% (v/v) Matrigel membrane matrix (Corning) on non-tissue culture treated plates. MSK-PCa and normal-26Nb cells were maintained as continuous 3D organoid cultures in 75% (v/v) Matrigel growth factor reduced (GFR) membrane matrix (Corning) on non-tissue culture treated plates and harvested from and reseeded in fresh Matrigel every 12–14 days. Fresh cell-type specific medium was added three times per week for all organoid cultures. Organoids were harvested from the Matrigel plug by adding dispase (Life Technologies) at 1 mg/ml (final volume) to the medium, followed by scraping of the well contents with a cell lifter, trituration, incubation for 2 h at 37 °C in a cell culture incubator, and centrifugation at 250×g for 4 min at 4 °C. MSK-PCa and normal-26Nb organoids were then resuspended in TrypLE Express (Life Technologies) supplemented with 1.8 U/ml dispase and incubated at 37 °C with trituration every 5 min until organoids dissociated into a single cell suspension, which was centrifuged again for downstream application or replating. RWPE-1 organoids were treated with 0.05% Trypsin-EDTA for 5 min at 37 °C, which was then neutralized using 2% FBS in PBS, and the organoid cells were centrifuged.
3D overlay cultures
RWPE-1 cell lines were plated on collagen-coated glass-bottomed chamber slides (Ibidi) and allowed to attach overnight. Then, the medium was removed, and 50% v/v Matrigel was added on the cells, which were cultured for another 3 days and then imaged on a Molecular Devices ImageXpress Micro Confocal High-Content Imaging System. Images were quantified for “Shape factor” using MetaXpress® software.
Developing ABI1 CRISPR and rescue cell lines
The target sequence identification for designing gRNA was performed using the online software crispr.mit.edu. The gRNA sequence CTAGAGGAGGAGATCCCGTC (TGG) in exon 1 of ABI1 was cloned into a pCas-Guide-EF1a-GFP vector (cat.#: GE100018) from Origene Technologies (Rockville, MD). RWPE-1 cells were transfected with the CRISPR plasmid using Lipofectamine 3000 transfection reagent (Thermo Fisher Scientific). Then, the cells were trypsinized and sorted via fluorescence-activated cell sorting (FACS) to obtain GFP-positive cells using a Becton Dickinson FACSAria III Cell Sorter. Clonal selection of single GFP-positive cells yielded several surviving clones, which were screened for Abi1 protein levels via western blotting, followed by sequence verification by sequencing with Abi1 Exon1 specific primers as described . ABI1 Isoform 2 and Isoform 3 constructs were cloned into a pMSCVpuro backbone (Addgene) and packaged into retrovirus using Phoenix-AMPHO producer cells (ATCC). RWPE-1 ABI1 KO clone 35 cells were transduced for two rounds with the retrovirus produced, and the resistant pool was selected with puromycin for use as “rescue” cell lines.
Western blot analysis
Whole-cell extracts were prepared by lysing cells in 50 mM Tris-Cl pH 7.5, 10 mM MgCl2, 0.5 M NaCl, 2% (v/v) NP-40, 0.01% (v/v) benzonase (Sigma-Aldrich, St. Louis, MO), 1% (v/v) protease inhibitor cocktail (Sigma-Aldrich), and 1X phosphatase inhibitor cocktail set V (Millipore Sigma, Billerica, MA). Total protein concentrations were determined using Precision Red Advanced (Cytoskeleton, Denver, CO) or Pierce 660 nm (Thermo Scientific) protein assays. Electrophoresis and blotting of protein extracts were performed using mini-PROTEAN tetra handcast and trans-blot turbo transfer systems (Bio-Rad, Hercules, CA). The primary antibodies used were mouse anti-Abi1 (MBL International, clone 1B9), goat anti-Abi2 (Santa Cruz, P-20), rabbit anti-Abi3 (Genetex, GTX60228), mouse anti-WAVE1 (Millipore, clone K91/36), rabbit anti-WAVE2 (Santa Cruz, H-110), rabbit anti-WAVE3 (Cell Signaling, 2806), rabbit anti-Brk1 (LifeSpan BioSciences, LS-C82659), rabbit anti-GAPDH (Sigma G9545), mouse anti-β-actin (Sigma-Aldrich, clone AC-15), rabbit anti-Cyfip1 (ThermoFisher PA5–31984), rabbit-anti-Nap1 (ThermoFisher PA5–30406), rabbit anti-E-cadherin (Santa Cruz 7870), rabbit anti-β-catenin (Santa Cruz 7199), mouse anti-Integrin α3 (Santa Cruz 374,242), mouse anti-Integrin α5 (Santa Cruz 166,665), mouse anti-Integrin αX (Santa Cruz 46,676), rabbit anti-Integrin β1 (Cell Signaling 4706), rabbit anti-Integrin β2 (Cell Signaling 73,663), mouse anti-Cytokeratin8 (Santa Cruz 8020), mouse anti-Fibronectin (Santa Cruz 8422), mouse anti-SLUG (Santa Cruz 166,476), mouse anti-HNF-3β (Santa Cruz 101,060), rabbit anti-Fyn (Cell Signaling 4023), goat anti-FYN (BioRad VPA00019), mab anti-FYN (BioRad VMA00053), rabbit anti-PARP (Cell Signaling 46D11), rabbit anti-Stat3 (Cell Signaling 4904), rabbit anti-p-Stat3 Y705 (Cell Signaling 9145), rabbit anti-p-Stat3 Y727 (Cell Signaling 9134), rabbit anti-ZO-1 (Thermo Scientific 40–2200), rabbit anti-p-β-catenin S675 (Cell Signaling 9567), rabbit anti-p-β-catenin T41/S45 (Cell Signaling 9565), rabbit anti-p-β-catenin S552 (Cell Signaling 9566), and rabbit anti-N-WASP (Cell Signaling 4848). The secondary antibodies (Thermo Scientific) were donkey anti-goat, goat anti-mouse, or goat anti-rabbit IgG HRP conjugates. Blots were imaged using supersignal west pico, pico-plus, or femto chemiluminescent substrate (Thermo Scientific) on a PXi touch imaging system, and signal was quantified using GeneTools software (Syngene, Frederick, MD). The data were analyzed using one-way ANOVA and Student’s t-test.
Cells were EGF/BPE-starved (using KSFM-only medium) overnight, followed by EGF stimulation for 10 min along with 10 mM pervanadate treatment (10 mM sodium orthovanadate + 0.3% hydrogen peroxide in KSFM). Cells were immediately washed with cold PBS and lysed using Pierce IP lysis buffer with protease and phosphatase inhibitors. The resulting lysate was immunoprecipitated using anti-Abi1 antibody (clone 1B9, MBL) at an antibody:lysate ratio of 1:100. Immunoprecipitation was performed using Dynabeads (ThermoFisher) according to the manufacturer’s instructions, except the incubation was performed overnight at 4 °C and preceded by a pre-clearing of the lysate with IgG under the same conditions.
Live cell imaging
RWPE-1 cell lines (parental, control clone 16, ABI1 KO clone 12, ABI1 KO clone 35, Rescue Isoform 2 and Rescue Isoform 3) and PCa cell lines (MSK-PCa1, MSK-PCa2, and MSK-PCa3) were plated in regular or GFR Matrigel, respectively, on non-tissue culture treated plates. Freshly defrosted cells were used for PCa cell lines, and early passage cells were used for RWPE-1 cell lines. The former were imaged live overnight 4 days post-culture, and the latter were imaged at 7 days. Images were taken with a Molecular Devices ImageXpress Micro Confocal High-Content Imaging System, and images were merged from 3 independent z-planes once every 5 min for 14 h with a 20X extra-long working distance objective while cells were maintained at 37 °C and 5% CO2. Images were analyzed, and movies were prepared using MetaXpress® and ImageJ software. The data were analyzed using one-way ANOVA and Student’s t-test.
RWPE-1 cells were plated on 12-mm round #1.5 glass coverslips (Thomas Scientific, NJ). At ~ 50% confluence, they were rinsed with PBS, fixed with 4% paraformaldehyde (PFA) for 10 mins at room temperature, and washed with PBS 3 times, before being blocked with PBSAT (PBS, 1% BSA, 0.5% Triton X-100) for 30 min at room temperature. Coverslips were then incubated with primary antibody in PBSAT overnight at 4 °C, washed with PBSAT 3 times, and incubated with secondary antibody for 1 h at room temperature, followed by 3 more washes with PBSAT. Finally, the coverslips were rinsed with dH2O and mounted on glass slides using Prolong Diamond antifade mountant with DAPI (Thermo Fisher Scientific) and imaged with the Molecular Devices ImageXpress Micro Confocal High-Content Imaging System. Images were processed using MetaXpress® and ImageJ software.
Scratch wound assay
RWPE-1 cells (controls, Abi1 KO, and rescue) were plated in 12-well plates and grown to 100% confluence. Then, scratches were made in the confluent monolayer using a 200-μl pipet tip. The plates were imaged every day for 4 days using a 4X objective to view the cells migrating into the scratch wound. The covered area was quantified using ImageJ, and migration was analyzed using paired Student’s t-tests.
Cells were plated in triplicate in a 96-well plate and measured at 2, 3, and 4 days using a CyQUANT NF Cell Proliferation Assay Kit (Invitrogen) according to the manufacturer’s instructions. The data were normalized to the day 2 data and analyzed using two-way ANOVA with multiple comparisons.
RNA sequencing and analysis
RNA was extracted from cell pellets using an RNeasy Mini Kit (Qiagen). RNA quality and quantity were assessed with an Agilent 2100 Bioanalyzer using an RNA 6000 Nano Kit. For each sample, 2 μg of total RNA was processed using an Illumina TruSeq Stranded mRNA Library Prep Kit following the manufacturer’s protocol. The sizes of the sequencing libraries were evaluated with the Agilent 2100 Bioanalyzer using a DNA 1000 Kit. Each library was then quantified using a Qubit 3.0 fluorometer (ThermoFisher). Individual libraries were diluted to 4 nM and then pooled together for sequencing. The library pool was sequenced on an Illumina NextSeq 500 instrument using a NextSeq 500/550 High Output Kit, with a loading concentration of 0.8 pM and a paired end 2 × 75 bp read. A 1% spike-in of PhiX control library (Illumina) was included in the run.
RNA-seq data processing and gene expression analysis
We analyzed gene expression profiles where Abi1 KO clones 12, 4, and 35 were compared to controls: clone 15, 16, and RWPE-1. For RNA-seq alignment, the read length was 75 nt and primary number of reads were between 56.2 106 and 76.8 106. Alignment information: BAM format files; percentage of total aligned were between 95.9 and 98.78%; reads with spliced alignment were between 24.20 and 25.60%. Exonic read counts in the samples ranged between 47.0 106 and 60.7 106. Differentially expressed genes (DEGs) were compared between control and test samples. Differential gene expression (DEG) was determined using RNA express v.220.127.116.11, and gene annotation was performed using HG19 (GENCODE) via The BaseSpace Sequence Hub User Interface. We identified 441 DEGs at q < 0.05 and log2 (fold change) ≥1. Gene enrichment (GO) analysis and Reactome Pathway Enrichment Analysis (via Panther DB http://www.pantherdb.org/) was used for identification of overrepresented gens and pathways.
To isolate subcellular fractionations we used NE-PER reagents from Thermo Fisher (Cat. No.78833). PARP and GAPDH antibodies were used as markers of the nuclear and cytoplasmic fraction, respectively.
All cell line data were analyzed using GraphPad Prism software. One-way, two-way ANOVA and Student’s t-test were used to determine significance; p-value < 0.05. Categorical data and multivariate analyses were carried out using Sytel Studio-9 software (Sytel Inc. Pume).
Siegel RL, Miller KD, Jemal A. Cancer statistics, 2018. CA Cancer J Clin. 2018;68:7–30.
Weiner AB, Kundu SD. Prostate Cancer: a contemporary approach to treatment and outcomes. Med Clin North Am. 2018;102:215–29.
Wong YN, Ferraldeschi R, Attard G, de Bono J. Evolution of androgen receptor targeted therapy for advanced prostate cancer. Nat Rev Clin Oncol. 2014;11:365–76.
Katsogiannou M, Ziouziou H, Karaki S, Andrieu C, Henry de Villeneuve M, Rocchi P. The hallmarks of castration-resistant prostate cancers. Cancer Treat Rev. 2015;41:588–97.
Sircar K, Yoshimoto M, Monzon FA, Koumakpayi IH, Katz RL, Khanna A, Alvarez K, Chen G, Darnel AD, Aprikian AG, et al. PTEN genomic deletion is associated with p-Akt and AR signalling in poorer outcome, hormone refractory prostate cancer. J Pathol. 2009;218:505–13.
Mulholland DJ, Kobayashi N, Ruscetti M, Zhi A, Tran LM, Huang J, Gleave M, Wu H. Pten loss and RAS/MAPK activation cooperate to promote EMT and metastasis initiated from prostate cancer stem/progenitor cells. Cancer Res. 2012;72:1878–89.
Fraser M, Sabelnykova VY, Yamaguchi TN, Heisler LE, Livingstone J, Huang V, Shiah YJ, Yousif F, Lin X, Masella AP, et al. Genomic hallmarks of localized, non-indolent prostate cancer. Nature. 2017;541:359–64.
Abida W, Armenia J, Gopalan A, Brennan R, Walsh M, Barron D, Danila D, Rathkopf D, Morris M, Slovin S, et al. Prospective genomic profiling of prostate Cancer across disease states reveals germline and somatic alterations that may affect clinical decision making. JCO Precis Oncol. 2017;2017.
Quigley DA, Dang HX, Zhao SG, Lloyd P, Aggarwal R, Alumkal JJ, Foye A, Kothari V, Perry MD, Bailey AM, et al. Genomic hallmarks and structural variation in metastatic prostate Cancer. Cell. 2018;174:758–769 e759.
Sowalsky AG, Sager R, Schaefer RJ, Bratslavsky G, Pandolfi PP, Balk SP, Kotula L. Loss of Wave1 gene defines a subtype of lethal prostate cancer. Oncotarget. 2015;6:12383–91.
Thiery JP, Acloque H, Huang RY, Nieto MA. Epithelial-mesenchymal transitions in development and disease. Cell. 2009;139:871–90.
Wade CA, Kyprianou N. Profiling prostate Cancer therapeutic resistance. Int J Mol Sci. 2018;19.
Grant CM, Kyprianou N. Epithelial mesenchymal transition (EMT) in prostate growth and tumor progression. Transl Androl Urol. 2013;2:202–11.
Nouri M, Ratther E, Stylianou N, Nelson CC, Hollier BG, Williams ED. Androgen-targeted therapy-induced epithelial mesenchymal plasticity and neuroendocrine transdifferentiation in prostate cancer: an opportunity for intervention. Front Oncol. 2014;4:370.
Chen R, Dong X, Gleave M. Molecular model for neuroendocrine prostate cancer progression. BJU Int. 2018;122:560–70.
Cao Z, Kyprianou N. Mechanisms navigating the TGF-beta pathway in prostate cancer. Asian J Urol. 2015;2:11–8.
Chen G, Shukeir N, Potti A, Sircar K, Aprikian A, Goltzman D, Rabbani SA. Up-regulation of Wnt-1 and beta-catenin production in patients with advanced metastatic prostate carcinoma: potential pathogenetic and prognostic implications. Cancer. 2004;101:1345–56.
Heuberger J, Birchmeier W. Interplay of cadherin-mediated cell adhesion and canonical Wnt signaling. Cold Spring Harb Perspect Biol. 2010;2:a002915.
Klaus A, Birchmeier W. Wnt signalling and its impact on development and cancer. Nat Rev Cancer. 2008;8:387–98.
Gujral TS, Chan M, Peshkin L, Sorger PK, Kirschner MW, MacBeath G. A noncanonical Frizzled2 pathway regulates epithelial-mesenchymal transition and metastasis. Cell. 2014;159:844–56.
Sandsmark E, Hansen AF, Selnaes KM, Bertilsson H, Bofin AM, Wright AJ, Viset T, Richardsen E, Drablos F, Bathen TF, et al. A novel non-canonical Wnt signature for prostate cancer aggressiveness. Oncotarget. 2017;8:9572–86.
Mora LB, Buettner R, Seigne J, Diaz J, Ahmad N, Garcia R, Bowman T, Falcone R, Fairclough R, Cantor A, et al. Constitutive activation of Stat3 in human prostate tumors and cell lines: direct inhibition of Stat3 signaling induces apoptosis of prostate cancer cells. Cancer Res. 2002;62:6659–66.
Shiota M, Bishop JL, Nip KM, Zardan A, Takeuchi A, Cordonnier T, Beraldi E, Bazov J, Fazli L, Chi K, et al. Hsp27 regulates epithelial mesenchymal transition, metastasis, and circulating tumor cells in prostate cancer. Cancer Res. 2013;73:3109–19.
Jarnicki A, Putoczki T, Ernst M. Stat3: linking inflammation to epithelial cancer - more than a "gut" feeling? Cell Div. 2010;5:14.
Hossain DM, Pal SK, Moreira D, Duttagupta P, Zhang Q, Won H, Jones J, D'Apuzzo M, Forman S, Kortylewski M. TLR9-targeted STAT3 silencing abrogates immunosuppressive activity of myeloid-derived suppressor cells from prostate Cancer patients. Clin Cancer Res. 2015;21:3771–82.
Hanahan D, Weinberg RA. Hallmarks of cancer: the next generation. Cell. 2011;144:646–74.
Yamazaki D, Oikawa T, Takenawa T. Rac-WAVE-mediated actin reorganization is required for organization and maintenance of cell-cell adhesion. J Cell Sci. 2007;120:86–100.
Ryu JR, Echarri A, Li R, Pendergast AM. Regulation of cell-cell adhesion by Abi/diaphanous complexes. Mol Cell Biol. 2009;29:1735–48.
Dubielecka PM, Ladwein KI, Xiong X, Migeotte I, Chorzalska A, Anderson KV, Sawicki JA, Rottner K, Stradal TE, Kotula L. Essential role for Abi1 in embryonic survival and WAVE2 complex integrity. Proc Natl Acad Sci U S A. 2011;108:7022–7.
Lebensohn AM, Kirschner MW. Activation of the WAVE complex by coincident signals controls actin assembly. Mol Cell. 2009;36:512–24.
Gautreau A, Ho HY, Li J, Steen H, Gygi SP, Kirschner MW. Purification and architecture of the ubiquitous Wave complex. Proc Natl Acad Sci U S A. 2004;101:4379–83.
Taylor MA, Davuluri G, Parvani JG, Schiemann BJ, Wendt MK, Plow EF, Schiemann WP, Sossey-Alaoui K. Upregulated WAVE3 expression is essential for TGF-beta-mediated EMT and metastasis of triple-negative breast cancer cells. Breast Cancer Res Treat. 2013;142:341–53.
Ring C, Ginsberg MH, Haling J, Pendergast AM. Abl-interactor-1 (Abi1) has a role in cardiovascular and placental development and is a binding partner of the alpha4 integrin. Proc Natl Acad Sci U S A. 2011;108:149–54.
Dubielecka PM, Cui P, Xiong X, Hossain S, Heck S, Angelov L, Kotula L. Differential regulation of macropinocytosis by Abi1/Hssh3bp1 isoforms. PLoS One. 2010;5:e10430.
Sun X, Li C, Zhuang C, Gilmore WC, Cobos E, Tao Y, Dai Z. Abl interactor 1 regulates Src-Id1-matrix metalloproteinase 9 axis and is required for invadopodia formation, extracellular matrix degradation and tumor growth of human breast cancer cells. Carcinogenesis. 2009;30:2109–16.
Chorzalska A, Salloum I, Shafqat H, Khan S, Marjon P, Treaba D, Schorl C, Morgan J, Bryke CR, Falanga V, et al. Low expression of Abelson interactor-1 is linked to acquired drug resistance in Bcr-Abl-induced leukemia. Leukemia. 2014;28:2165–77.
Macoska JA, Xu J, Ziemnicka D, Schwab TS, Rubin MA, Kotula L. Loss of expression of human spectrin src homology domain binding protein 1 is associated with 10p loss in human prostatic adenocarcinoma. Neoplasia. 2001;3:99–104.
Xiong X, Chorzalska A, Dubielecka PM, White JR, Vedvyas Y, Hedvat CV, Haimovitz-Friedman A, Koutcher JA, Reimand J, Bader GD, et al. Disruption of Abi1/Hssh3bp1 expression induces prostatic intraepithelial neoplasia in the conditional Abi1/Hssh3bp1 KO mice. Oncogenesis. 2012;1:e26.
Gao D, Vela I, Sboner A, Iaquinta PJ, Karthaus WR, Gopalan A, Dowling C, Wanjala JN, Undvall EA, Arora VK, et al. Organoid cultures derived from patients with advanced prostate cancer. Cell. 2014;159:176–87.
Ziemnicka-Kotula D, Xu J, Gu H, Potempska A, Kim KS, Jenkins EC, Trenkner E, Kotula L. Identification of a candidate human spectrin Src homology 3 domain-binding protein suggests a general mechanism of association of tyrosine kinases with the spectrin-based membrane skeleton. J Biol Chem. 1998;273:13681–92.
Lo HW, Hsu SC, Xia W, Cao X, Shih JY, Wei Y, Abbruzzese JL, Hortobagyi GN, Hung MC. Epidermal growth factor receptor cooperates with signal transducer and activator of transcription 3 to induce epithelial-mesenchymal transition in cancer cells via up-regulation of TWIST gene expression. Cancer Res. 2007;67:9066–76.
Abaan OD, Polley EC, Davis SR, Zhu YJ, Bilke S, Walker RL, Pineda M, Gindin Y, Jiang Y, Reinhold WC, et al. The exomes of the NCI-60 panel: a genomic resource for cancer biology and systems pharmacology. Cancer Res. 2013;73:4372–82.
Dubielecka PM, Machida K, Xiong X, Hossain S, Ogiue-Ikeda M, Carrera AC, Mayer BJ, Kotula L. Abi1/Hssh3bp1 pY213 links Abl kinase signaling to p85 regulatory subunit of PI-3 kinase in regulation of macropinocytosis in LNCaP cells. FEBS Lett. 2010;584:3279–86.
Xiong X, Cui P, Hossain S, Xu R, Warner B, Guo X, An X, Debnath AK, Cowburn D, Kotula L. Allosteric inhibition of the nonMyristoylated c-Abl tyrosine kinase by phosphopeptides derived from Abi1/Hssh3bp1. Biochim Biophys Acta. 2008;1783:737–47.
Sebestyen E, Zawisza M, Eyras E. Detection of recurrent alternative splicing switches in tumor samples reveals novel signatures of cancer. Nucleic Acids Res. 2015;43:1345–56.
Li Y, Donmez N, Sahinalp C, Xie N, Wang Y, Xue H, Mo F, Beltran H, Gleave M, Wang Y, et al. SRRM4 drives neuroendocrine Transdifferentiation of prostate adenocarcinoma under androgen receptor pathway inhibition. Eur Urol. 2017;71:68–78.
Lee AR, Gan Y, Tang Y, Dong X. A novel mechanism of SRRM4 in promoting neuroendocrine prostate cancer development via a pluripotency gene network. EBioMedicine. 2018;35:167–77.
Chen XJ, Squarr AJ, Stephan R, Chen B, Higgins TE, Barry DJ, Martin MC, Rosen MK, Bogdan S, Way M. Ena/VASP proteins cooperate with the WAVE complex to regulate the actin cytoskeleton. Dev Cell. 2014;30:569–84.
Lee NK, Fok KW, White A, Wilson NH, O'Leary CJ, Cox HL, Michael M, Yap AS, Cooper HM. Neogenin recruitment of the WAVE regulatory complex maintains adherens junction stability and tension. Nat Commun. 2016;7:11082.
Sutherland M, Gordon A, Shnyder SD, Patterson LH, Sheldrake HM. RGD-binding Integrins in prostate Cancer: expression patterns and therapeutic prospects against bone metastasis. Cancers (Basel). 2012;4:1106–45.
Lee YC, Jin JK, Cheng CJ, Huang CF, Song JH, Huang M, Brown WS, Zhang S, Yu-Lee LY, Yeh ET, et al. Targeting constitutively activated beta1 integrins inhibits prostate cancer metastasis. Mol Cancer Res. 2013;11:405–17.
Dutta A, Li J, Lu H, Akech J, Pratap J, Wang T, Zerlanko BJ, FitzGerald TJ, Jiang Z, Birbe R, et al. Integrin alphavbeta6 promotes an osteolytic program in cancer cells by upregulating MMP2. Cancer Res. 2014;74:1598–608.
Wang M, Nagle RB, Knudsen BS, Rogers GC, Cress AE. A basal cell defect promotes budding of prostatic intraepithelial neoplasia. J Cell Sci. 2017;130:104–10.
Tang H, Li A, Bi J, Veltman DM, Zech T, Spence HJ, Yu X, Timpson P, Insall RH, Frame MC, Machesky LM. Loss of scar/WAVE complex promotes N-WASP- and FAK-dependent invasion. Curr Biol. 2013;23:107–17.
Silver DL, Naora H, Liu J, Cheng W, Montell DJ. Activated signal transducer and activator of transcription (STAT) 3: localization in focal adhesions and function in ovarian cancer cell motility. Cancer Res. 2004;64:3550–8.
Cobb BS, Schaller MD, Leu TH, Parsons JT. Stable association of pp60src and pp59fyn with the focal adhesion-associated protein tyrosine kinase, pp125FAK. Mol Cell Biol. 1994;14:147–55.
Polte TR, Hanks SK. Interaction between focal adhesion kinase and Crk-associated tyrosine kinase substrate p130Cas. Proc Natl Acad Sci U S A. 1995;92:10678–82.
Chorzalska A, Morgan J, Ahsan N, Treaba DO, Olszewski AJ, Petersen M, Kingston N, Cheng Y, Lombardo K, Schorl C, et al. Bone marrow-specific loss of ABI1 induces myeloproliferative neoplasm with features resembling human myelofibrosis. Blood. 2018;132:2053–66.
Karthaus WR, Iaquinta PJ, Drost J, Gracanin A, van Boxtel R, Wongvipat J, Dowling CM, Gao D, Begthel H, Sachs N, et al. Identification of multipotent luminal progenitor cells in human prostate organoid cultures. Cell. 2014;159:163–75.
We acknowledge the use of Upstate Medical University facilities, SUNYMAC (Frank Middleton and Karen Gentile) and Upstate Cancer Center Microscopy Core. We thank Baylee Porter for her contribution to graphical abstract and Fig. 6H. We thank Charles Sawyers and Yu Chen (MSKCC, New York) for providing patient derived organoid cell lines.
Archived tissue microarray studies were approved by Ethics Review Boards at Vancouver Prostate Center, Vancouver, CA (UBC CREB Number: H09-01628) or at Queen’s University, Kingston, CA (TRAQ#6020715).
Availability of supporting data
All data generated under the study including the analyzed RNA sequencing data of RWPE-1 ABI1 KO cell lines and controls are included in the main article or in Supplementary Material.
This work was supported by grants from the National Cancer Institute R01CA161018 to LK.
NYS Department of Health Prostate Cancer Hypothesis Development RFA #1410200115.
and Joyce Curry Pancreatic Research Fund to LK.
Consent for publication
The authors declare no competing interests.
Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.
Figure S1. Evaluation of ABI1 expression in a test TMA. A) ABI1 expression is downregulated in prostate tumors with high Gleason grade pathology. The ABI1 expression levels were compared with the disease stage of the tumors. For KHSC cohort (n=32), binary scoring method was used as described in materials and methods section which categorizes patients into two (down/up) distinct groups based on arbitrarily defined threshold of % positive cells (>20%) and overall staining intensity as compared to internal positive controls (benign glands). Intra- and inter-core heterogeneity (i.e. mosaic pattern) were defined when cancer cells with decreased or retained ABI1 protein were observed within the same (intra) or different (inter) TMA cores and it was assessed manually. Subsequently, the case was considered homogeneous, when there was no inter-or intra-core heterogeneity seen. In this small TMA cohort within the cases with ABI1 down-regulation, we have observed 4 cases with inter-core heterogeneity, 2 cases with intra-core heterogeneity and one case with IDC with heterogeneous/mosaic pattern. (B) ABI1 expression and prostate tumor heterogeneity. Left, Contingency Table for ABI1 expression levels in Gleason patterns associated with different WHO grade groups. Gleason 3-3, Grade group 1; Gleason 3-4, Grade group 2; Gleason 3-3, Grade group 3; Gleason 4-4 and Gleason 5-3, Grade group 4; Gleason 4-5 and Gleason 5-5, Grade group 5. ABI1 expression was quantified by digital imaging as described in Material and methods and presented here as group of staining intensity: 0, negative staining, 1, weak staining; 2, moderate; 3, strong (digital scoring). Digital scoring takes into consideration % of cells stained for each level of intensity in a tumor core and is highly quantitative. The normalized stain intensity represents average intensity per core calculated as follow takes into consideration percent of cells stained for each intensity level (0, 1, 2 and 3), the average stain intensity for each core is calculated as sum of intensities and ranged from 0-1. The digital scoring showed statistically significant correlation with manual H-score as determined by direct comparison of digital vs. manual scoring of 505 patients in the TMA.The table below lists ABI1 expression level in tumors associated with each WHO tumor Grade Group histopathology, Group 1-5, and in benign tissue. On the right an image demonstrating intra-core tumor heterogeneity of ABI1 expression with Benign, and Gleason 4 and 5 patterns; Benign, represents normal prostate tissue (VPC cohort). See Figure 1B for quantification of ABI1 expression. (JPG 2994 kb)
Figure S2. Generation of Abi1 CRISPR KO in RWPE-1 cells. (A) ABI1 exon 1 sequence, with guide RNA sequence marked in red and PAM marked in blue. (B-F) Western blots showing ABI1 and WAVE2 for screening of CRISPR clones; WAVE2 downregulation is correlated with levels of Abi1. β-Actin was used as the loading control. (G) Sequencing analysis of selected clones. Black text shows the wild-type sequence, green shows wild-type clones, blue shows heterozygous KO clones, and red shows homozygous KO clones. (JPG 1147 kb)
Figure S3. Loss of Abi1 causes downregulation of the WAVE complex and cell-cell adhesion markers in mouse embryonic fibroblasts. (A) Representative western blots showing reductions in WAVE1 and WAVE2 in Abi1 KO MEFs. (B) Western blots showing reductions in the adherens junction proteins N-cadherin and β-catenin and a modest decrease in the tight junction marker ZO-1 in Abi1 KO MEFs. β-Actin was used as the loading control. (C) Immunostaining for N-cadherin and β-catenin showing loss of cell-cell junctional staining of the proteins in the Abi1-null MEFs (bottom panel) compared with the control cells (top panel). Scale bar represents 10 µm. (JPG 579 kb)
Figure S4. ABI1 KO RWPE-1 cells exhibit no significant increase in proliferation but an upregulation of p-Akt. (A) Proliferation assays were performed at 2, 3 and 4 days post-plating in control RWPE-1 (parental and clone 16), ABI1 KO (clone 12 and 35), and ABI1 rescue (Iso2 and Iso3) cells, showing no significant difference in proliferation rates (1-way ANOVA). (B) Western blot showing that p-Akt is increased in ABI1-null cells and can be stimulated by EGF after starvation. β-Actin was used as the loading control. (JPG 595 kb)
Figure S5. Generated ABI1 KO cells exhibit no change in p-β-catenin or N-WASP. (A) Representative western blots showing no change in p-β-catenin, total β-catenin or N-WASP upon ABI1 loss. Blot shows parental RWPE-1 cells, two control clones and three ABI1 KO clones. β-Actin was used as the loading control. (JPG 461 kb)
Figure S6. FYN and STAT3 interact with the recombinant ABI1 in RWPE cells. (A) Confirmation of ABI1-FYN-STAT3 complex using FYN antibody VPA00019 (BioRad). ABI1 was immunoprecipitated with MBL Mab 1B9: For Western blotting we used Abi1 CST 39444 (bottom panel), STAT3 CST 30835 (middle panel); FYN immunoreactivity was detected with BioRad VPA00019. (B) Recombinant ABI1 interacts with STAT3 (middle panels), and co-immunoprecipitated active phospho-SRC activity as indicated by pan phospho-SRC family kinase antibody to pY416 (CST 2101), lower panels. Left side depicts ABI1 isoform 2 immunoprecipitation; Right side depicts ABI1 isoform 3 immunoprecipitation. (C, D) FYN was co-immunoprecipated with either the recombinant ABI1 isoform 2 (C) or ABI1 Isoform 3 (D) using ABI1 MBL 1B9 antibody. FYN immunoreactivity was detected with BioRad VPA00019; Abi1 with CST 39444; Input, RWPE-1 cell lysate; FT, flow-through, unbound fraction of the lysate; IgG, control immunoprecipitation using isotype IgG as control but lacking ABI1 antibody; IP, immunoprecipitation including the anti-ABI1 antibody. Asterisk in panels indicate the corresponding bands in input/ flow-through and IP fractions. (TIF 1470 kb)
Excel file listing 441 differentially expressed genes (DEGs) of Abi1 KO RWPE cell lines. (XLSX 160 kb)
Movie S1(a-f). Time-lapse movies of Abi1 KO cell lines (14hrs). Movie S1a: RWPE-1 parental; Movie S1b: Control clone #16; Movie S1c: Abi1 knock-out clone; Movie S1d: Abi1 knock-out clone #35; Movie S1e: Abi1 rescue of Isoform 2; Movie S1f: Abi1 rescue of Isoform 3. (ZIP 11074 kb)
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Nath, D., Li, X., Mondragon, C. et al. Abi1 loss drives prostate tumorigenesis through activation of EMT and non-canonical WNT signaling. Cell Commun Signal 17, 120 (2019). https://doi.org/10.1186/s12964-019-0410-y