Advertisement
Research Article
Transparent Process
Open Access

ADAP1 promotes invasive squamous cell carcinoma progression and predicts patient survival

Avery Van Duzer, Sachiko Taniguchi, Ajit Elhance, Takahiro Tsujikawa, Naoki Oshimori  Correspondence email
Published 2 December 2019. DOI: 10.26508/lsa.201900582

Abstract

Invasive squamous cell carcinoma (SCC) is aggressive cancer with a high risk of recurrence and metastasis, but the critical determinants of its progression remain elusive. Here, we identify ADAP1, a GTPase-activating protein (GAP) for ARF6 up-regulated in TGF-β-responding invasive tumor cells, as a strong predictor of poor survival in early-stage SCC patients. Using a mouse model of SCC, we show that ADAP1 overexpression promotes invasive tumor progression by facilitating cell migration and breakdown of the basement membrane. We found that ADAP1-rich, TGF-β-responding tumor cells exhibit cytoplasmic laminin localization, which correlated with the absence of laminin and type IV collagen from the pericellular basement membrane. Interestingly, although tumors overexpressing a GAP activity-deficient mutant of ADAP1 resulted in morphologically complex tumors, those tumor cells failed to breach the basement membrane. Moreover, Adap1 deletion in tumor cells ameliorated the basement membrane breakdown and had less invading cells in the stroma. Our study demonstrates that ADAP1 is a critical mediator of TGF-β-induced cancer invasion and might be exploited for the treatment of high-risk SCC.

Introduction

Invasive squamous cell carcinomas (SCCs) arising from skin, lung, oral, esophagus, and cervical epithelial tissues are significant contributors to cancer mortality worldwide (Dotto & Rustgi, 2016). SCC is genetically and molecularly heterogeneous, which makes it challenging to identify the relatively rare, high-risk SCCs that may progress to life-threatening malignancies. Only 5–20% of cutaneous SCC cases progress to regional metastasis (Alam & Ratner, 2001; Moore et al, 2005; Kang & Toland, 2016), but of these cases, the 5-yr survival rate is only 25–35% (Rowe et al, 1992; Kraus et al, 1998). It is, therefore, essential to find molecular targets unique to metastatic cases to diagnose and treat high-risk SCCs effectively.

Both tumor cell-intrinsic and tumor cell-extrinsic factors can activate molecular pathways that promote invasive tumor growth and metastasis, including actomyosin-based cell motility and breakdown of the basement membrane (BM) (Hamidi & Ivaska, 2018). In particular, TGF-β plays multiple roles in cancer invasion and metastasis (David & Massagué, 2018). To study the role of TGF-β in tumor development, we previously developed a mouse model of SCC that harbors an in vivo fluorescent reporter and lineage tracing system for the TGF-β–SMAD2/3 signaling pathway (Oshimori et al, 2015). Using this system, we showed that TGF-β-responding tumor cells are drug-resistant, stem-like tumor-initiating cells (TICs) that promote invasive tumor growth. Therefore, the mechanisms by which TGF-β-responding TICs acquire invasive properties may be a potential target for novel cancer diagnostics and treatment.

Here, we search prognostic genes of SCC from the list of up-regulated genes in TGF-β-responding TICs by in silico analysis. We identify ADAP1 (ArfGAP with dual pleckstrin homology domains 1, also known as centaurin-α1) as a strong predictor of poor survival in early-stage SCC patients. ADAP1 was originally identified as a neuron-specific phosphatidylinositol 3,4,5-trisphosphate (PIP3) and inositol 1,3,4,5-tetrakisphosphate (IP4)-binding protein (Hammonds-Odie et al, 1996; Kreutz et al, 1997) and is involved in dendrite branching and spine development (Moore et al, 2007). ADAP1 has an N-terminal zinc finger ArfGAP domain, which facilitates the activity of the small GTPase ADP-ribosylation factor 6 (ARF6) to hydrolyze GTP to GDP (Thacker et al, 2004; Venkateswarlu et al, 2004). Importantly, it is known that ARF family proteins do not have detectable intrinsic GTPase activity (Randazzo & Kahn, 1994; Klein et al, 2006), and thus, GTPase-activating proteins (GAPs), such as ADAP1, are crucial for ARF function.

ARF6 is an essential regulator of endocytic membrane trafficking and is involved in the internalization and externalization of various membrane proteins, including growth factor receptors, integrins, and membrane-type matrix metalloproteases (Marchesin et al, 2015; Charles et al, 2016; Osmani et al, 2018). ARF6 and its regulators have been implicated in tumor development and metastasis (Hashimoto et al, 2004; D’Souza-Schorey & Chavrier, 2006). However, the role of ADAP1 in tumorigenesis and its contribution to ARF6-mediated tumor progression had not previously been evaluated. In comparison with other ArfGAPs, ADAP1 may be of particular importance to cancer progression, as it also has a GAP-independent role in actin cytoskeleton remodeling via its C-terminal dual pleckstrin homology domains (Thacker et al, 2004; Venkateswarlu et al, 2004). Here, we show that ADAP1 facilitates SCC progression through both its GAP activity-dependent and GAP activity-independent functions.

Invasive SCC is characterized by the discontinuity of the BM and the emergence of invading tumor cells in the stroma (Yanofsky et al, 2011). The BM is the sheet-like ECM that underlies epithelial tissues and is composed primarily of type IV collagen and laminin. Laminin binds to the extracellular domain of integrins expressed on the basal side of epithelial cells (e.g., α6β4 integrins in hemidesmosome) and self-assembles into a cell-associated network, the lamina lucida, which is thought to trigger recruitment of type IV collagen. Type IV collagen forms an independent network, the lamina densa, which interacts with the laminin network through other BM components (Kelley et al, 2014).

In this study, we show that ADAP1 promotes invasive SCC progression by activating both cell migration and invasion. Interestingly, ADAP1-rich, TGF-β-responding tumor cells exhibited cytoplasmic laminin localization and disrupted the BM of their pericellular regions, which was mitigated by Adap1 deletion. Moreover, tumors overexpressing the GAP activity-deficient mutant of ADAP1 failed to breach the BM. Together, our study establishes ADAP1 as a potential prognostic marker and provides novel insights into the molecular pathway of invasive tumor progression.

Results

ADAP1, a strong predictor of SCC patient survival, is up-regulated in TGF-β-responding TICs

We previously demonstrated that TGF-β-responding TICs promote invasive SCC progression and tumor recurrence in a mouse model of SCC (Oshimori et al, 2015). Because gene expression signatures of TICs can be used to predict poor patient outcomes (Liu et al, 2007; Eppert et al, 2011), we sought genes with prognostic value specifically expressed in TGF-β-responding TICs. To do so, we first narrowed down a list of genes that were significantly up-regulated in TGF-β-responding tumor cells (Oshimori et al, 2015) by the following criteria: (1) genes showed >2-fold up-regulation in TGF-β-responding cells compared with nonresponding cells were included (adj P < 0.05); (2) genes had fragments per kilobase million > 5 in TGF-β-responding cells were included; and (3) the genes expressed less in primary tumors than normal tissue according to The Cancer Genome Atlas (TCGA) head and neck SCC (HNSCC) data were excluded (fold-change < 0.5, adj P < 0.05, Mann–Whitney U-test). Next, from the remaining 292 genes with overall survival data for stage I/II HNSCC cases in the TCGA dataset, we identified genes strongly associated with patient survival through multivariate Cox proportional hazards regression of mRNA expression. This analysis revealed that ADAP1 had a hazard ratio of 1.59 (lower/upper confidence interval, 1.19/2.11) (Fig S1A–C). Because Adap1 had the greatest fold up-regulation in TGF-β-responding tumor cells compared with nonresponding counterparts in our murine model (Fig S1D), we focused on ADAP1 in this study. To evaluate ADAP1 gene expression as a potential prognostic marker, we divided TCGA patient data into three groups (ADAP1 low-, mid-, and high-expression groups) and generated Kaplan–Meier curves with the overall survival data. When we analyzed patient data of all stages (n = 519), survival rates significantly decreased as ADAP1 expression increased (n = 173 for each group) (Fig 1A). Strikingly, this negative correlation was further evident in stage I/II patients (n = 118); the 5-yr survival rate of ADAP1 high-expressing group was 0% (n = 39), whereas mid- and low-expressing groups were about 50% (n = 39) and 70% (n = 40), respectively (Fig 1B), indicating that ADAP1 expression might be a powerful predictor of high-risk SCC patients.

Figure S1.
Figure S1. Bioinformatics analysis of TGF-β–responding TIC gene expression signature identified ADAP1.

(A, B) TCGA data from early-stage (stage I and II, n = 118) HNSCC were used to evaluate the association between overall survival and 292 genes up-regulated in TGF-β-responding TICs via Cox proportional hazards regression analysis. Variables associated with overall survival were adjusted by clinical stage, age, and sex. (A, B) Hazard ratios with (A) raw P-values and (B) P-values adjusted by false discovery rate were plotted. (C) Hazard ratios of representative genes with small P-values exhibited an association with short overall survival. (D) Relative mRNA expression levels analyzed of indicated genes in TGF-β–responding and nonresponding tumor basal cells in our SCC mouse model. Data are mean ± SEM.

Figure 1.
Figure 1. ADAP1, a strong predictor of SCC patient survival, is up-regulated in TGF-β-responding TICs.

(A, B) The Kaplan–Meier curves were shown as overall survival of patients with HNSCC in (A) all cases (stage I–IV, n = 519) and (B) early-stage cases (stage I and II, n = 118) (TCGA). Cases were equally stratified into three groups based on ADAP1 mRNA expression levels, and survival rates of ADAP1 high-, mid-, and low-expression groups were plotted. P value by log-rank (Mantel–Cox) test is indicated. (C) Immunolabeling of invasive mouse SCC tumor sections shows increased ADAP1 (green) staining in TGF-β reporter+ cells (red). Quantification of ADAP1 signal intensity along the leading edge of tumor sections shows significantly increased levels of ADAP1 in TGF-β reporter+ cells. n = 6. Data are shown in box & whisker plots: mid-line, median; box, 25th and 75th percentiles; whiskers, 5th and 95th percentiles with outliers. ***P < 0.001. P value by unpaired t test is indicated. (D) Immunolabeling of human SCC tumor sections increased ADAP1 (green) staining near TGF-β signaling high regions, shown via nuclear Smad2/3 staining (red). (E) Quantification of relative Adap1 mRNA expression in primary mouse keratinocytes grown at high cell density, which was untreated or treated with TGF-β. n = 3. Data are mean ± SD. **P = 0.0043. P value by unpaired t test is indicated. Scale bars, 50 μm.

In mice, we found ADAP1 protein expression to be undetectable in the normal skin epidermis. This was expected, as ADAP1 was reported as a neuron-specific protein (Hammonds-Odie et al, 1996; Kreutz et al, 1997). However, in both mouse and human tumors, we detected ADAP1 protein expression in tumor cells at the leading edges of invasive tumors (Fig 1C and D). Furthermore, in accordance with our RNA-seq data, TGF-β-responding tumor basal cells had significantly stronger cytoplasmic staining of ADAP1 protein (Fig 1C). We observed similar localization patterns of ADAP1 protein in human SCC patient samples, particularly in cells exhibiting nuclear SMAD2/3 localization, which is a sign of active TGF-β signaling (Fig 1D). To examine whether TGF-β plays a role in the up-regulation of ADAP1 gene expression, we stimulated primary mouse keratinocytes with TGF-β in vitro. Adap1 mRNA was significantly up-regulated by extended TGF-β treatment in higher cell density culture conditions (Fig 1E), suggesting that TGF-β can induce ADAP1 gene expression. Although higher cell culture density was not necessary for up-regulating ADAP1 in TGF-β-treated cells, it is possible that other factors induced by higher density may have an additive effect with TGF-β.

ADAP1 overexpression accelerates cell migration in vitro independent of its GAP activity

To gain insight into the impact of elevated ADAP1 expression, we established a doxycycline (Dox)-inducible ADAP1 overexpression system. We first transduced primary mouse keratinocytes with a lentiviral vector encoding TetO promoter-driven nuclear red fluorescent protein (NLS-mRFP) and the hygromycin-resistant gene (HygR). After hygromycin selection, the cells were further transduced with another lentiviral vector that encodes the transactivator (rtTA) and ADAP1 under the TetO promoter (Fig 2A). As a result, in the presence of Dox, rtTA induces the expression of NLS-mRFP and ADAP1. We used the second vector without ADAP1 as a control (Fig 2B). Interestingly, we found that ADAP1-overexpressing cells exhibit extended cell bodies and long protrusions (Fig 2C), raising the possibility that ADAP1 may promote cell migration and invasion.

Figure 2.
Figure 2. ADAP1 overexpression accelerates cell migration in vitro independent of its GAP activity.

(A) Lentiviral vector (LV) constructs for doxycycline-induced ADAP1 overexpression. Cells transduced with the first LV were selected by puromycin. Then, the second LV was transduced at <1 MOI, to generate ADAP1-overexpressing cells (NLS-mRFP+) and control (NLS-mRFP+) cells. (B) Western blot analysis showed the overexpression of ADAP1-WT and ADAP1-R49K mutant proteins at similar levels. α-tubulin, loading control. (C) Primary mouse keratinocytes transduced with the LVs. Note, doxycycline (Dox)-inducible ADAP1 overexpression (NLS-mRFP+ cells) showed extended protrusions and cell elongation. (D) Cell tracking images of LV-transduced cells. Nuclear red fluorescent signal (NLS-mRFP) was used to track cell motility (see Videos 1–4), and cell tracking lines are shown. (D, E) Quantification of ADAP1-induced cell motility tracking from (D). Note, ADAP1 wild-type (WT) and ADAP1-R49K mutant cells show significantly increased motility compared with control cells, and there is a smaller difference in motility between the two ADAP1 overexpressing groups. n = 109–242 cells. Data are shown in box & whisker plots. ***P < 0.001. P value by unpaired t test is indicated. Scale bars, 50 μm.

To analyze the migration of ADAP1-overexpressing cells, we performed live-cell imaging in vitro. We tracked cellular movement based on the position of fluorescently labeled (NLS-mRFP+) nuclei. As shown in Videos 1 and 2, ADAP1-overexpressing cells dynamically formed lamellipodia and long protrusions and migrated strikingly longer distances than control cells expressing only NLS-mRFP. Automated tracking of the NLS-mRFP signal showed that the mean velocity of cell movement was significantly higher in ADAP1-overexpressing cells than in control cells (Fig 2D and E and Videos 3 and 4). To test whether its GTPase-activating function mediates enhanced migratory phenotypes induced by ADAP1 overexpression, we generated a GAP-deficient mutant of ADAP1 by substituting the critical arginine for GAP activity to lysine (R49K) (Fig 2B), based on the structural alignment of the ArfGAP domain (Mandiyan et al, 1999). Live cell imaging showed that cells overexpressing the ADAP1-R49K mutant migrated significantly faster than control cells, although they were slightly, but significantly, slower than cells expressing the wild-type ADAP1 (ADAP1-WT) (Fig 2E). Therefore, the elevated cell motility observed in culture dishes is primarily due to a GAP-independent function of ADAP1 likely through the regulation of actin cytoskeleton rearrangement (Thacker et al, 2004; Venkateswarlu et al, 2004), but the GAP activity may be necessary for even faster cellular movement.

Video 1

Time-lapse imaging of control cells.Download video.

Video 2

Time-lapse imaging of ADAP1-overexpressing cells.Download video.

Video 3

Automated cell tracking movie of control cells in Video 1.Download video.

Video 4

Automated cell tracking movie of ADAP1-overexpressing cells in Video 2.Download video.

ADAP1 overexpression promotes cell invasion in vitro via its GAP activity for ARF6

We next assessed if ADAP1 influences the ability to migrate through the ECM by the Matrigel-coated transwell assay. ADAP1-WT overexpression endowed primary keratinocytes with increased invasive activities compared with control cells (Fig 3A). Despite increased migration, cells overexpressing the ADAP1-R49K mutant failed to increase invasive capability through Matrigel (Fig 3A), suggesting that the GAP activity of ADAP1 is required for enhanced cell invasion. Because ADAP1 stimulates the GTPase activity of ARF6, invasive phenotypes induced by ADAP1 are potentially dependent on ARF6. To test whether ARF6 mediates the pro-invasive function of ADAP1, we depleted Arf6 mRNA from ADAP1-WT-overexpressing cells by shRNA-mediated knockdown (Fig 3B). ADAP1-induced cell invasion was significantly mitigated by Arf6 depletion (Fig 3C). Because the intrinsic GTPase activity of ARF proteins is extremely low (Randazzo & Kahn, 1994; Klein et al, 2006), ADAP1 may play a crucial role in facilitating the cycling between ARF6-GTP and ARF6-GDP states. To test this hypothesis, we overexpressed a constitutively active (CA), that is, a GTPase-deficient, mutant of ARF6 (ARF6-Q67L) to prevent the proper cycling between the GTP- and GDP-bound forms (Fig 3D). Consistent with the previous studies showing that the ARF6-CA mutant suppresses the invasive activity of cancer cell lines (Hashimoto et al, 2004; Knizhnik et al, 2012), forced expression of the ARF6-CA mutant in ADAP1-overexpressing cells reduced the invasive activity, whereas ARF6-WT did not affect (Fig 3E). These results support the idea that ADAP1 promotes cell invasion by stimulating the GTPase activity of ARF6 and facilitating the cycling between ARF6-GTP and ARF6-GDP.

Figure 3.
Figure 3. ADAP1 overexpression promotes cell invasion in vitro via its GAP activity for ARF6.

(A) Quantification of invaded cells through Matrigel-coated transwell. ADAP1-WT-expressing cells showed increased invasive capability compared with control and ADAP1-R49K-expressing cells. n = 3–4. ***P < 0.001. P value by unpaired t test is indicated. (B) RT-qPCR analysis of Arf6 mRNA in cells transduced with lentiviral Arf6 or scramble shRNAs. n = 3. (C) Quantification of cell invasion. The ADAP1-induced invasion was reduced by Arf6 knockdown. n = 4. ***P < 0.001. P value by unpaired t test is indicated. (D) Western blot analysis of cell lysates overexpressing ARF6-WT, ARF6-CA, and ADAP1. α-tubulin, loading control. (E) Quantification of invaded cells. ADAP1-induced cell invasion was reduced by ARF6-CA expression. n = 4. *P < 0.05. P value by unpaired t test is indicated. (F) RT-qPCR analysis of human ADAP1 (hADAP1) RNA in SCC-61 cells transduced with lentiviral hADAP1 or scramble shRNAs. n = 3. (G) Western blot analysis of SCC-61 cell lysates transduced with scramble or hADAP1 shRNAs. (H) Quantification of invaded cells. Invasive activity of SCC-61 cells was reduced by hADAP1 knockdown. n = 3. Data are mean ± SD. ***P < 0.001, *P < 0.05. P value by unpaired t test is indicated. ns, not significant.

We also examined the role of ADAP1 in human cancer cell invasion in vitro. In an invasive HNSCC cell line, SCC-61 (Quintavalle et al, 2011), ADAP1 mRNA expression was efficiently suppressed lentiviral shRNAs against human ADAP1 (Fig 3F). Unlike primary mouse keratinocytes, SCC-61 cells expressed detectable levels of ADAP1 protein, which was depleted by ADAP1 shRNA (Fig 3G). And importantly, ADAP1 depletion significantly suppressed the invasive activity of SCC-61 cells (Fig 3H). Together, these results indicate that elevated expression of ADAP1 promotes invasion both in murine and human cells in vitro.

ADAP1 overexpression in vivo induces invasive SCC with disrupted BMs

Our data suggest that the GAP activity-dependent and GAP activity-independent functions of ADAP1 synergistically promote invasive cell migration, which could be the potential link between high ADAP1 expression and poor clinical outcomes in patients. To investigate the impact of ADAP1 up-regulation on SCC development in vivo, we prepared lentiviral vectors that encode rtTA and Cre recombinase, and ADAP1 under the TetO promoter (Fig 4A). Through in utero lentivirus injection (Beronja et al, 2010; Oshimori et al, 2015), we transduced epidermal progenitor cells of Rosa26-Lox-Stop-Lox-YFP, TetO-Hras transgenic mouse embryos (Fig 4B). In postnatal mice, lentivirally transduced skin keratinocytes express YFP, in which the oncogenic HRASG12V transgene and ADAP1 are expressed in a Dox-dependent manner to induce tumor formation.

Figure 4.
Figure 4. ADAP1 overexpression in vivo induces invasive SCC with disrupted BMs.

(A) Lentiviral vector (LV) constructs for ADAP1 overexpression. (B) Mouse model of SCC via LV transduction of epidermal progenitor cells of TetO-Hras; Rosa-LSL-YFP embryos by in utero microinjection. (C) H&E staining of tumor sections shows that smoother edges and more enclosed tumor areas in control HRAS-driven tumors. In contrast, ADAP1-WT-overexpressing tumors have multiple small and less enclosed tumor areas, suggesting that ADAP1-overexpressing tumors have an increased invasive capacity. (D) Immunofluorescence detection of ADAP1 protein in control and ADAP1-overexpressing tumors. (E) Immunolabeling of laminin-332 in tumor sections. YFP expression indicates lentivirally transduced tumor epithelial cells. Laminin-332 of the BM (black arrowheads, inset 1) was detected in control tumors (left) but is disrupted in ADAP1-overexpressing tumors (right). In the invasive regions of YFP+ tumor cells show cytoplasmic laminin-332 signal, which is more evident in ADAP1-overexpressing tumors (white arrowheads, insets 2–4). (F) Co-immunolabeling of laminin-332 and type IV collagen (collagen IV) in control (left), ADAP1-WT- (middle), and ADAP1-R49K-overexpressing tumors (right). Both laminin-332 (green) and collagen IV (red) are disrupted in ADAP1-WT-overexpressing tumors but largely remained in those of ADAP1-R49K-overexpressing tumors. Note: ADAP1-WT tumors show smaller pieces of tissue breaking off of the main tumor, whereas ADAP1-R49K tumors do not. Asterisks denote collagen IV staining from the endothelial vasculature that is not part of the epithelial BM. (G) Quantification of single cells and clusters of 2–3 cells individually invading the surrounding stroma. n = 3–5. Data are shown in scatter plots with mean ± SEM. ***P < 0.001. P value by unpaired t test is indicated. Scale bars, 50 μm.

Overall tumor morphology assessed by hematoxylin and eosin (H&E) showed that ADAP1-overexpressing tumors were highly invasive (Fig 4C), in which a significant ADAP1 expression was confirmed in tumor epithelial cells (Fig 4D). We then assessed the integrity of the BM by immunofluorescence of laminin-332, the primary laminin type of the BM in SCC (Marinkovich, 2007). Control tumors typically showed mixed phenotypes, that is, intact and breached BMs (Fig 4E, insets 1 versus 2). In contrast, ADAP1-overexpressing tumors mostly lost the BM-like laminin-332 staining pattern. Interestingly, ADAP1-overexpressing, YFP+ tumor cells often exhibited laminin-332 in the cytoplasmic space (Fig 4E, insets 3 and 4). The cytoplasmic localization of laminin was not an artifact of ADAP1 overexpression because the intracellular laminin signal was also detected in invasive areas of control tumors, where the BM-like laminin-332 was broken down (Fig 4E, inset 2). Moreover, in ADAP1-overexpressing tumors, the other major component of the BM, type IV collagen, was almost undetectable at tumor-stroma interface, whereas collagen staining surrounding the vasculature remained (Fig 4F, middle).

We next asked whether the GAP activity of ADAP1 is involved in invasive tumor formation in vivo. To address this, we overexpressed the ADAP1-R49K mutant in tumor cells. Interestingly, ADAP1-R49K overexpression resulted in the formation of tumors with thin finger-like downgrowths somewhat similar to ADAP1-WT-overexpressing tumors (Fig 4F, right). However, immunofluorescence analysis revealed a striking difference in BM composition between the two groups (Fig 4F, middle versus right). In stark contrast to the ADAP1-WT counterpart, ADAP1-R49K–overexpressing tumors maintained the BM-like staining pattern of both laminin and collagen in otherwise morphologically invasive areas (Fig 4F, right). Furthermore, we evaluated the invasiveness by quantifying the number of single-cell, two-cell, and three-cell clusters of YFP+ tumor cells in the adjacent stromal areas. Compared with controls, ADAP1-WT-overexpressing tumors had more individually invasive cells, which was not the case in ADAP1-R49K-overexpressing tumors (Fig 4G). Consistent with our in vitro data, these results suggest that ADAP1 plays both GAP activity-dependent and GAP activity-independent roles in invasive tumor growth in vivo.

TGF-β-responding tumor cells show cytoplasmic laminin, which is associated with BM breakdown

TGF-β-responding tumor cells up-regulated ADAP1 at the tumor-stroma interface (Fig 1C and D), which raised the possibility that ADAP1 may activate a molecular pathway that underlies TGF-β-induced invasive tumor progression. Therefore, we sought to determine the relevance of TGF-β signaling to the integrity of the BM in SCC. In tumor-adjacent tissue, which does not have significant TGF-β signaling activity (Oshimori et al, 2015), laminin-332 and type IV collagen completely overlapped at the epidermal-dermal interface demarcated by integrin α6 staining (Fig 5A). Using a lentiviral vector containing a TGF-β signaling reporter (Fig 5B), we examined the relevance of TGF-β signaling activity in laminin localization at pre-invasive tumor areas. Whereas TGF-β reporter-low tumor fronts maintained laminin-positive BM, we found that regions with TGF-β reporter-positive cells often lost BM-like laminin staining (Fig 5C). Moreover, quantification of the intracellular laminin signal indicated that TGF-β-responding tumor cells significantly accumulated laminin in their cytoplasm (Fig 5D). Although SCC tumor cells are known to produce laminin-332 proteins (Marinkovich, 2007), the expression levels of all laminin-332 genes (Lama3, Lamb3, and Lamc2) were similar between TGF-β-responding and nonresponding tumor cells in vivo (Fig 5E). These results suggest that the cytoplasmic laminin observed in TGF-β-responding cells may have been internalized from the BM. In support of this, the internalization of laminin was reported in murine mammary glands as well as human cancer cell lines (Leonoudakis et al, 2014; Muranen et al, 2017). We then examined whether this potential laminin internalization is associated with the mislocalization of type IV collagen. The BM collagen disappeared as laminin localization transitioned from the BM to the cytoplasmic space of tumor cells (Fig 5F). Furthermore, tumor areas with active TGF-β signaling lost collagen+ BM at the tumor-stroma interface, whereas regions with low reporter activity maintained BM collagen localization (Fig 5G, insets 1 versus 2). These results suggest that TGF-β-responding tumor cells triggered the breakdown of the BM potentially by internalizing laminin.

Figure 5.
Figure 5. TGF-β-responding tumor cells show cytoplasmic laminin, which is associated with BM breakdown.

(A) Immunodetection of BM components at the epidermal-dermal interface in tumor-adjacent tissue. (B) LV construct containing TGF-β reporter for SCC formation. (C) Immunolabeling of laminin-332 at the tumor-stroma interface in TGF-β reporter low (left) and TGF-β reporter high (right) regions. In reporter low regions, the BM detected by laminin-332 is intact (black arrowheads), whereas in reporter high regions, laminin is detected in cytoplasmic space of TGF-β reporter+ cells and BM-like laminin staining is disappeared (white arrowheads). (D) Quantification of cytoplasmic laminin localization in TGF-β reporter low and high tumor basal cells. n = 3–4, total 12 areas. ***P < 0.001. P value by paired t test is indicated. (E) Relative mRNA expression of laminin-332 genes (Lama3, α3 subunit; Lamb3, β3 subunit; Lamc2, γ2 subunit) in TGF-β reporter (−) and (+) tumor basal cells isolated by FACS and analyzed by RT-qPCR. Data are mean ± SEM. ns, not significant. (F) Co-immunolabeling of laminin-332 (green) and collagen IV (red) at the tumor-stroma interface. Note, tumor regions with BM-like staining of laminin-332 maintain collagen IV BM staining (black arrowheads), whereas tumor regions showing cytoplasmic laminin-332 staining lose BM-like collagen staining (white arrowheads). Collagen IV staining of the tumor vasculature remains intact (asterisks). (G) Immunolabeling of collagen IV at the tumor-stroma interface. Dotted lines denote the tumor-stroma interface based on integrin α6 staining. Note, the BM detected by collagen IV remains in TGF-β reporter low regions (inset 1) but are disrupted in TGF-β reporter high regions (inset 2). Scale bars, 50 μm.

ADAP1 depletion reduces cytoplasmic laminin localization in TGF-β-responding tumor cells and suppresses invasive tumor growth

To determine whether ADAP1 is involved in invasive tumor growth and laminin internalization by TGF-β-responding tumor cells, we established an Adap1-floxed mouse line. We induced the conditional KO (cKO) of the Adap1 gene by transducing lentiviral Cre. Successful cKO was confirmed by quantitative PCR (qPCR) and immunoblotting in vitro (Fig 6A and B). To delete the Adap1 gene in tumor cells in vivo, we performed in utero injection of the TGF-β reporter lentiviral vectors in Adap1fl/fl mice, and in Adap1+/fl or Adap1+/+ mice as controls (Fig 6C). HRASG12V-driven tumors developing on Adap1 cKO mice were significantly smaller than those of control mice (Fig 6D). Decreased size in Adap1 cKO tumors suggested that ADAP1 might break a barrier for restricting extensive tumor growth. TGF-β-responding cells in Adap1 cKO tumors still showed more cytoplasmic laminin signals than those in nonresponding cells (Fig 6E). However, the quantification data revealed that TGF-β-responding tumor cells in Adap1 cKO tumors had significantly less cytoplasmic laminin compared with TGF-β-responding cells in control tumors (Fig 6E). Likely because of reduced laminin disruption, Adap1 cKO tumors showed well-preserved BM collagen staining (Fig 6F) and had significantly fewer individually invading cells than those in control tumors (Fig 6G). Although other ARF6 GAPs and guanine nucleotide-exchanging factors (GEFs) might also regulate the potential laminin internalization, these results indicate that ADAP1 promotes invasive migration of TGF-β-responding tumor cells by facilitating the breakdown of the BM.

Figure 6.
Figure 6. ADAP1 depletion reduces cytoplasmic laminin localization in TGF-β-responding tumor cells and suppresses invasive tumor growth.

(A) RT-qPCR validation of Adap1 deletion using primary keratinocytes from Adap1-floxed mice that were transduced with LVs in vitro. n = 3, Data are mean ± SEM. ***P < 0.001. P value by unpaired t test is indicated. (B) Western blot analysis of Adap1 cKO keratinocytes and a littermate control. To detect endogenous ADAP1 protein, we used immunoprecipitated samples using the anti-ADAP1 antibody. (C) Schematic of in utero injection of TGF-β reporter LV to TetO-Hras; Adap1-floxed mice to induce a tumor-specific Adap1 cKO. (D) The size of tumors developing in Adap1 cKO mice and their WT/Het littermates were shown. Note: Adap1 cKO mice form smaller tumors compared with the controls at 4 wk after Dox administration. (E) Quantification of cytoplasmic laminin intensity in TGF-β reporter low and high tumor basal cells. Intensity data from individual images are shown as dots, and lines between dots show the pairing data from each microscopic image. n = 3–4, total 12 areas. *P = 0.0314 (unpaired t test), ***P < 0.001 (paired t test). (F) Immunolabeling of collagen IV at the tumor-stroma interface. Note, BM-like staining in Adap1 Het tumor is diminished but remains consistently at the tumor-stroma interface detected by integrin α6 staining in Adap1 cKO tumor. Scale bars, 50 μm. (G) Quantification of single cells and clusters of 2–3 cells individually invading the surrounding stroma. n = 4–6. Data are shown in scatter plots with mean ± SEM. **P = 0.001. P value by unpaired t test is indicated. ns, not significant.

Discussion

New diagnostic modalities to identify high-risk SCC from most low-risk tumors are urgently needed. Given that long-lived, stem-like TICs maintain and promote tumorigenesis, the mechanisms by which TICs acquire invasive properties may hold potential targets for novel cancer diagnostics and treatment. Invasive properties are likely regulated by cells surrounding TICs through modulating local ECM proteins and providing growth factor signaling. We previously demonstrated that TGF-β-responding tumor cells are drug-resistant TICs that drive invasive SCC progression (Oshimori et al, 2015). From genes up-regulated in TGF-β-responding TICs, we identified ADAP1 as a strong predictor of poor survival in SCC patients and, therefore, could be an excellent marker to stratify the risk of life-threatening SCC. Moreover, our functional studies demonstrated that ADAP1 promotes invasive SCC progression through cell migration and BM modification.

Through our in vitro and in vivo studies, we examined how ADAP1 is involved in SCC progression. We first showed that ADAP1 enhances cell migration in its GAP activity-independent molecular function, potentially through the regulation of the actin cytoskeleton (Thacker et al, 2004; Venkateswarlu et al, 2004). Then, we found that ADAP1 also promotes invasion on a cell-by-cell basis in vitro and, more importantly, invasive tumor growth on a tissue basis in vivo. Moreover, based on the morphology of ADAP1-R49K-overexpressing tumors, a GAP-independent function of ADAP1 seemed to be sufficient to cause finger-like epithelial downgrowths likely through the regulation of cell migration. However, as the BM remained undisrupted in those tumors, the GAP activity of ADAP1 seems necessary for the breakdown of the BM. These findings highlight that the GAP activity-dependent and GAP activity-independent roles of ADAP1 synergistically facilitate the progression of SCC to invasive states.

The degradation of BM is essential for the transition of precursor lesions to invasive SCC. We revealed that ADAP1-rich, TGF-β-responding tumor cells had laminin-332 in the cytoplasmic space, and simultaneously lost the BM composed of laminin and type IV collagen. As a potential mechanism of BM breakdown, ADAP1 may facilitate the laminin internalization through the ARF6-mediated endocytosis. However, our data do not exclude the possibility of other ARF6’s functions, including signal transduction, cell division, and cell-cell adhesion by regulating endocytic vesicle trafficking of membrane proteins (D’Souza-Schorey & Chavrier, 2006). Moreover, an ARF6-mediated site-directed targeting of matrix metalloprotease MT1-MMP also facilitates tumor cell invasion (Marchesin et al, 2015). In the future, molecular interplays coordinated by the ADAP1-ARF6 system might lead to a deep mechanistic understanding of invasive tumor progression. Although the conversion of small GTPase proteins to the GDP-bound form was traditionally considered as negative regulation, recent studies have highlighted the importance of GAPs in the engagement of ARF6 in diverse physiological contexts. Moreover, the literature suggests that instead of this hydrolysis acting as a negative regulator of ARF6, endocytosis is dependent on the cycling of ARF6 into the GDP-bound form (Klein et al, 2006). We and others showed that the constitutively active (i.e., the GTP-hydrolysis activity defective) mutant of ARF6 had a suppressive effect on cell invasion in vitro (Hashimoto et al, 2004; Knizhnik et al, 2012).

Elevated levels of laminin-332 expression in SCC have been associated with invasiveness and poor patient clinical prognosis (Ono et al, 1999; Hamasaki et al, 2011). However, it is noteworthy that elevated laminin-332 expression was observed in the tumor cell cytoplasm (Ono et al, 1999). The mechanism by which tumor cells internalize laminin from the BM remains largely unknown. Proteolytic cleavage of laminin-332 seems to involve multiple enzymes produced by tumor cells as well as by cells in the stroma (Marinkovich, 2007). Also, integrins are involved in diverse cellular processes crucial for cancer development (Hamidi & Ivaska, 2018). In particular, α6β4 integrin, a laminin-binding integrin complex, has been shown to play an essential role in SCC tumorigenesis (Janes & Watt, 2006). By binding to laminin, integrins induce signals for cell proliferation, survival, migration, and invasion (Desgrosellier & Cheresh, 2010). Moreover, integrins are internalized in response to growth factors (Ning et al, 2007) and targeted to early endosomes but not to lysosomes (Das et al, 2017), suggesting that internalized integrins are recycled to play a role at new locations. Elucidating the fate and function of internalized laminin-binding integrins and the precise molecular mechanism of ADAP1-mediated laminin internalization may provide further insight into invasive tumor growth.

Materials and Methods

In silico analysis of genes up-regulated in TGF-β-responding TICs using TCGA data

Among 663 genes up-regulated in TGF-β-responding tumor cells from our mouse model analyzed by RNA-seq previously (log2 fold-change > 1, adj P < 0.05 [Oshimori et al, 2015]), we identified 403 annotated genes in the TCGA database. From them, we removed genes with fragments per kilobase million < 5 in the RNA-seq, and genes less expressed in tumors compared with normal tissue samples (fold-change < 0.5, adj P < 0.05, Mann–Whitney) in the TCGA head & neck SCC (HNSCC) database. Gene expression data of the remaining 292 genes were downloaded from TCGA HNSCC mRNA expression (Illumina-HiSeq) (n = 546) via the University of California, Santa Cruz cancer browser at https://genome-cancer.ucsc.edu (data obtained on April 24th, 2016). Cases without available information of clinical stage and overall survival were excluded, and a total of 519 cases, including 118 early-stage cases, were analyzed. Multivariate Cox proportional hazards model was applied to estimate the relationship between gene expression and overall survival with adjustments by age, gender, and clinical stage, using R version 3.2.3 and R package “survival.” P values were adjusted for multiple comparisons using Benjamin–Hochberg false discovery rate adjustments.

Lentivirus vector construction, production, and concentration

For the generation of an LV-rtTA-2A-Cre construct, we replaced the puromycin cassette of pLKO.1 between BamHI and NsiI sites with an open reading frame containing synthesized cDNA of the reverse tetracycline transactivator (rtTA3), a P2A linker sequence, and a PCR-amplified cDNA of codon-improved Cre recombinase (Cre). To generate an LV-rtTA-2A-Cre-TGF-β reporter construct, we created a multi-cloning site sequence containing PmeI-NheI-BmtI-XbaI-SalI-MluI sites between NsiI and KpnI, and then inserted a DNA fragment containing 12× repeated SMAD-binding elements (SBE, 5′-AGCCAGACA-3′), a 113-bp minimal CMV promoter, mScarlet-I, and cHS4 insulator sequences between KpnI and NheI sites. To improve the sensitivity and transgene expression, we upgraded the construct with a brighter version of nuclear red fluorescent protein, NLS-mScarlet-I (Bindels et al, 2017) (plasmid ID 85044; Addgene), and inserted the chicken hypersensitivity site 4 insulator (Ins) (Aker et al, 2007). ADAP1 arginine 49 to lysine (R49K) mutation was introduced by PCR using primers containing two nucleotide mutations and a BstZ17I restriction enzyme site. The mutation was confirmed by Sanger sequencing. To generate a doxycycline-inducible ADAP1 expression system, we first generated LVs that constitutively express hygromycin resistance (HygR) gene under the phosphoglycerate kinase (PGK) promoter and conditionally express NLS-mRFP from the tetracycline-response elements (TetO promoter) in a doxycycline (Dox)-dependent manner and then, the second LVs that constitutively express rtTA and conditionally express ADAP1-WT or ADAP1-R49K mutant in a Dox-dependent manner. For generating ARF6-expression lentiviral vectors, we obtained pcDNA3-Arf6 (WT) and Arf6 (Q67L) from Addgene (plasmid ID 79424 and 79425, respectively) and subcloned PCR-amplified Arf6 fragments into pLKO vector, which was followed by sequence confirmation. DNA plasmid mini/midi/maxi-prep, gel extraction, and PCR clean-up kits from Zymo Research were used. Large-scale production of vesicular stomatitis virus-G pseudotyped lentivirus was performed by calcium phosphate transduction of 293T cells (632180; Clontech/Takara) plated on poly-L-lysine–coated cell-culture dishes with pLKO.1 and helper plasmids: pMD2.G and psPAX2 (plasmid 12259 and 12260; Addgene, respectively). Viral supernatant was collected 30–36 h after transfection, filtered through a 0.45-μm polyvinylidene difluoride (PVDF) filter (Millipore), concentrated first by passage through a Vivacell 70 centrifugal concentrator (100 kD molecular weight cutoff, VS6041; Sartorius), and then by ultracentrifugation in an Ultra-Clear Tube (344057; Beckman Coulter) for 90 min in an MLS-50 rotor at 45,000 rpm or an SW-55 Ti rotor at 42,000 rpm (Beckman Coulter).

In utero ultrasound-guided lentivirus microinjection and tumor formation

The following mice were used: Tg(TetO-HRAS)65Lc/Nci (TetO-HrasG12V, NCI Mouse Repository, donated by L Chin) (Chin et al, 1999) and Gt(ROSA)26Sortm(EYFP)Cos/J (Rosa26-LSL-EYFP, The Jackson Laboratory, donated by F Costantini) (Srinivas et al, 2001). To generate Adap1-floxed mice, we obtained cryopreserved sperm of Adap1tm1a(EUCOMM)Wtsi from the European Conditional Mouse Mutagenesis consortium, re-derived the mutant mice, and crossed with an FLPo mouse (Tg(Pgk1-flpo)10Sykr/J). The FLPo-mediated deletions of the lacZ and neo cassettes flanked by FRT sequences were confirmed by genotyping PCR, which indicates the “conditional ready” floxed allele. In utero ultrasound-guided microinjection was performed as previously described (Beronja et al, 2010). Briefly, females at E9.5 of gestation were anesthetized with isoflurane on the heated stage before injection. 300–500 nl of lentivirus suspension was injected into each embryo’s amniotic sac. Surgical procedures were limited to 30 min to maintain high survival rates. Postnatally, the lentivirally transduced mice were given mouse chow containing doxycycline (2 mg/kg, 5AKR; TestDiet), which activates rtTA to induce the expression of oncogenic HRASG12V or HRASG12V and ADAP1 simultaneously. The Oregon Health & Science University Animal Care and Use Committee approved animal experimentation protocols used in this study.

Tissue harvest, sectioning, and immunofluorescence microscope imaging

Because of the humane endpoints based on tumor size, number, and location of the body surface, mice were euthanized at different time points after doxycycline-induced HRASG12V expression. Before tumor collection, dorsal hairs were removed with either an electric hair clipper or hair removal cream. Mice were then photographed, and tumor size was measured with a ruler. Tumors were dissected and fixed with 4% paraformaldehyde (16% solution; Electron Microscopy Sciences) in PBS for 15 min at room temperature. After washing with PBS overnight, tumor tissues were embedded and frozen in Tissue-Tek optimum cutting temperature compound (4583; Sakura) in a cryomold (4557; Sakura). 5–10 μm sections were cut with a Cryostat (CM1850; Leica), mounted on SuperFrost Plus slides (Fisherbrand), and permeabilized for 30 min in 0.3% Triton X-100 in PBS. For tyramide signal amplification Plus kit amplification (NEL744001KT; PerkinElmer), and to remove background fluorescence, the tissues were instead treated with 1% hydrogen peroxide (H2O2) in 0.3% Triton X-100/PBS for 30 min at room temperature. When immunolabeling with mouse antibodies, the sections were incubated with the Mouse-On-Mouse blocking kit according to the manufacturer’s instructions (BMK-2202; Vector Laboratories). Fresh frozen cutaneous SCC patient optimum cutting temperature samples from the Oregon Health & Science University Dermatology department were similarly immunolabeled. The following primary antibodies were used: rabbit anti-ADAP1/centaurin-α1 (ab197380; Abcam), mouse anti-SMAD2/3 (610842; BD Biosciences), rat anti-α6 integrin (GoH3; BD Biosciences), rabbit anti-mCherry (ab167453; Abcam), goat anti-mCherry (AB0040; Acris), anti-chicken anti-GFP (to detect YFP) (ab13970; Abcam), rabbit anti-laminin 5/laminin-332 (ab14509; Abcam), goat anti-type IV collagen (AB769; Millipore), chicken anti-keratin 5 (SIG-3475; Covance), Alexa Fluor 647–conjugated phalloidin (A22287; Thermo Fisher Scientific), and Alexa Fluor 647–conjugated WGA (W32466; Thermo Fisher Scientific). Sections were treated with primary antibody mixes and incubated at 4°C for overnight. After washing with PBS containing 0.1% Triton X-100 (PBST), the sections were treated for 30 min at room temperature with secondary antibodies conjugated with Alexa Fluor 488, 546, or 647 (Jackson ImmunoResearch and Thermo Fisher Scientific). Slides were washed, counterstained with DAPI, and mounted in Prolong Gold (Thermo Fisher Scientific).

In vitro cell culture experiments

Keratinocytes isolated from neonatal mouse epidermis were maintained in E medium with 10% FBS and 50 μM CaCl2 at 37°C, 7.5% CO2. Human head and neck cell lines, SCC-61, were maintained in DMEM with 10% FBS. For lentiviral transduction in vitro, cells were plated in six-well plates at 1.0 × 105 cells per well and incubated with viruses in the presence of polybrene (10 μg/ml) for 30 min at 37°C, 7.5% CO2, and then the plates were spun at 1,100g for 30 min at 37°C in an Eppendorf 5810R centrifuge. After centrifugation, virus-containing medium was removed and replaced with fresh growth medium. For establishing the ADAP1 overexpression system, the cells were transduced with the first LV, which express HygR gene from the PGK promoter and NLS-mRFP from the TetO promoter. After hygromycin selection, the cells were transduced with the second LV that expresses rtTA from the PGK promoter and ADAP1 from the TetO promoter. For the rtTA-mediated inducible gene expression, the medium was supplemented with Dox (100 ng/ml). For TGF-β stimulation, the medium was supplemented with recombinant murine TGF-β1 (100 pM, 7666-MB; R&D systems). For immunolabeling and visualization, the cells were seeded onto coverslips and fixed with pre-warmed 4% PFA for 10 min at 37°C. The cells were permeabilized with 0.3% Triton X-100 in PBS and incubated at 4°C overnight with the primary antibodies listed above. After washing with PBST, the sections were treated for 30 min at room temperature with secondary antibodies conjugated with Alexa Fluor 488, 546, or 647. Slides were washed, counterstained with DAPI, and mounted in Prolong Gold. Only for cell surface protein detection, non-permeabilized cells were incubated with primary and secondary antibodies followed by Hoechst 33342 (H3570; Thermo Fisher Scientific) counterstaining.

Image acquisition and analysis

Imaging was performed on a Zeiss AxioObserver.Z1 equipped with Apotome.2 using ×10/0.45, ×20/0.8, or ×40/0.95 air. Images were collected using the Zeiss Efficient Navigation software and processed using an image processing package, Fiji (Schindelin et al, 2012; Rueden et al, 2017). For laminin internalization analysis, a rolling-ball background subtraction of 50 pixels was used on all channels. Directional filtering (20-pixel line length in 32 directions via the erosion method) of the keratin-5 channel was then conducted using the MorphoLibJ package (Legland et al, 2016). Individual cells were then selected from the filtered keratin-5 channel with MorphoLibJ Morphological Watershed Segmentation, with tolerance ranges from 100 to 500, connectivity of 8, and dams calculated (Legland et al, 2016). Labels not in contact with the BM were removed by hand, so that a single cell layer remained. Intensity was then measured for laminin, DAPI, and mScarlet channels via MorphoLibJ 2D Intensity analysis (Legland et al, 2016). Further processing and statistics were conducted in RStudio v1.2.1335 (RStudio Team, 2015). The intensity of the reporter channel of each label in an image was divided by the maximum reporter intensity for that image, creating the “reporter ratio” for each label. Based on density plots, a threshold was determined, and all labels with a reporter ratio above 0.2 were classified as “reporter high” (around 10% of all cells), whereas all labels with a reporter ratio below 0.2 were classified as “reporter low.”

RNA purification and RT-qPCR

Total RNA from cells in TRI Reagent (Zymo Research) was purified using Direct-zol RNA MicroPrep Kit (Zymo Research) as per the manufacturer’s instructions. For RT-qPCR, an equivalent amount of RNA was reverse-transcribed by SuperScript IV VILO cDNA synthesis Kit (11756050; Invitrogen). cDNAs were mixed with indicated primers and PowerUp SYBR Green Master Mix (A25742; Applied Biosystems), and RT-qPCR was performed on a ViiA 7 Real-Time PCR System (Applied Biosystems). cDNAs were normalized to equal amounts using primers against Actb. The following primer sequences were used (5′-3′):

  • Actb forward: GGCTGTATTCCCCTCCATCG, Actb reverse: CCAGTTGGTAACAATGCCATGT;

  • Adap1 forward: GCCCAAGTTGAGTTCATGGC, Adap1 reverse: GTAGAAGGGCGGTACTTTGGA;

  • Arf6 forward: TTCGGGAACAAGGAAATGCG, Arf6 reverse: GGATGGTGGTCACCGATTGG;

  • Lama3 forward: CTGTGACTACTGCAATTCTGAGG, Lama3 reverse: CAAGGTGAGGTTGACTTGATTGT;

  • Lamb3 forward: GGCTGCCTCGAAATTACAACA, Lamb3 reverse: ACCCTCCATGTCTTGCCAAAG;

  • Lamc2 forward: CAGACACGGGAGATTGCTACT, Lamc2 reverse: CCACGTTCCCCAAAGGGAT;

  • ADAP1 forward: CGCGAGAGCCAGGTTTGAG, ADAP1 reverse: GCTTCTCCGGGTAGATGAACT.

shRNA sequences for gene knockdown

For mouse Arf6 gene and human ADAP1 gene knockdown experiments, DNA oligos of following target sequences were synthesized (5′-3′):

  • the scramble shRNA, CAACAAGATGAAGAGCACCAA;

  • Arf6 sh4, CCGGAAGGAGAGAAATCCAAA;

  • Arf6 sh7, GCATTACTACACCGGGACCCA;

  • ADAP1 sh1, CCCACCTCCACGACTATTTAT;

  • ADAP1 sh2, TCGGGAATCCACCGGAATATC.

Protein gel electrophoresis and immunoblotting

Total cell lysates were prepared using RIPA (20 mM Tris–HCl, pH 8.0, 150 mM NaCl, 1 mM EDTA, 1 mM EGTA, 1% Triton X-100, 0.5% deoxycholate, and 0.1% SDS) supplemented with protease inhibitors (Halt Protease Inhibitor, 78430; Thermo Fisher Scientific), or used directly with 1X Bolt LDS Sample Buffer (B0007; Invitrogen). The protein concentrations of clarified supernatants were measured by a BCA Protein Assay Kit (23227; Pierce). Immunoprecipitation of endogenous ADAP1 was performed by using 5 μl of Dynabeads Protein G (10003D; Thermo Fisher Scientific) bound with 1 μg goat anti-ADAP1/Centaurin-α1 (ab27476; Abcam) antibody. Proteins in lysates and immunoprecipitated complexes were separated by Bolt 4–12% Bis-Tris Plus gels (Invitrogen) and transferred to a PVDF membrane (Immobilon-FL, IPFL00010; Millipore) by a Pierce Power Blotter XL System (PB0013; Invitrogen). Transferred membranes were blocked for 1 h in Odyssey Blocking Buffer (927-50000; LI-COR) diluted 1:1 in TBS (20 mM Tris–HCl, pH 7.4, 150 mM NaCl) and then incubated with primary antibodies in the blocking buffer or TBS overnight at 4°C. After washing with TBS, the membranes were incubated with secondary antibodies in the Odyssey Blocking Buffer diluted 1:1 in TBS for 1 h at room temperature. Membranes were washed in TBS and imaged on an Azure c600 Infra-Red Imaging System (Azure Biosystems). Primary antibodies used were rabbit anti-ADAP1/centaurin-α1 (ab197380; Abcam) and mouse anti-α-tubulin (DM1A; Sigma-Aldrich). IRDye680- or IRDye800-conjugated secondary antibodies were used (1:10,000; LI-COR).

Acknowledgements

We thank the European Conditional Mouse Mutagenesis (EUCOMM) consortium for providing the cryo-sperm of Adap1tm1a(EUCOMM)Wtsi, L Chin for TetO-Hras mice, and F Costantini for Rosa-YFP mice. We also thank S Courtneidge for providing SCC-61 cell line and comments on our manuscript. We appreciate the assistance of Oregon Health & Science University (OHSU)’s Department of Comparative Medicine (an Association for Assessment and Accreditation of Laboratory Animal Care facility) for expert care and housing of our mouse colony, and the OHSU transgenic mouse core for assisting with in vitro fertilization of Adap1tm1a(EUCOMM)Wtsi mice (L Fedorov, Director). This work is supported by the NIH K99-R00 pathway to independence award (R00-CA178197), the OHSU Knight Cancer Institute (KCI) Pilot Grant (2018-CCSG-22), and the start-up support from the KCI/OHSU to N Oshimori.

Author Contributions

  • A Van Duzer: conceptualization, data curation, formal analysis, validation, investigation, visualization, methodology, and writing—original draft, review, and editing.

  • S Taniguchi: conceptualization, data curation, formal analysis, validation, investigation, visualization, methodology, and writing—review and editing.

  • A Elhance: data curation, formal analysis, visualization, and writing—review and editing.

  • T Tsujikawa: data curation, formal analysis, visualization, methodology, and writing—review and editing.

  • N Oshimori: conceptualization, data curation, formal analysis, supervision, funding acquisition, validation, investigation, visualization, methodology, project administration, and writing—original draft, review, and editing.

Conflict of Interest Statement

The authors declare that they have no conflict of interest.

  • Received October 29, 2019.
  • Revision received November 4, 2019.
  • Accepted November 5, 2019.
Creative Commons logoCreative Commons logohttps://creativecommons.org/licenses/by/4.0/

This article is available under a Creative Commons License (Attribution 4.0 International, as described at https://creativecommons.org/licenses/by/4.0/).

References

  1. ↵
    1. Aker M,
    2. Tubb J,
    3. Groth AC,
    4. Bukovsky AA,
    5. Bell AC,
    6. Felsenfeld G,
    7. Kiem H-P,
    8. Stamatoyannopoulos G,
    9. Emery DW
    (2007) Extended core sequences from the cHS4 insulator are necessary for protecting retroviral vectors from silencing position effects. Hum Gene Ther 18: 333–343. doi:10.1089/hum.2007.021
    OpenUrlCrossRefPubMed
  2. ↵
    1. Alam M,
    2. Ratner D
    (2001) Cutaneous squamous-cell carcinoma. N Engl J Med 344: 975–983. doi:10.1056/nejm200103293441306
    OpenUrlCrossRefPubMed
  3. ↵
    1. Beronja S,
    2. Livshits G,
    3. Williams S,
    4. Fuchs E
    (2010) Rapid functional dissection of genetic networks via tissue-specific transduction and RNAi in mouse embryos. Nat Med 16: 821–827. doi:10.1038/nm.2167
    OpenUrlCrossRefPubMed
  4. ↵
    1. Bindels DS,
    2. Haarbosch L,
    3. van Weeren L,
    4. Postma M,
    5. Wiese KE,
    6. Mastop M,
    7. Aumonier S,
    8. Gotthard G,
    9. Royant A,
    10. Hink MA, et al.
    (2017) mScarlet: A bright monomeric red fluorescent protein for cellular imaging. Nat Methods 14: 53–56. doi:10.1038/nmeth.4074
    OpenUrlCrossRefPubMed
  5. ↵
    1. Charles R,
    2. Namkung Y,
    3. Cotton M,
    4. Laporte SA,
    5. Claing A
    (2016) β-arrestin-mediated angiotensin II signaling controls the activation of ARF6 protein and endocytosis in migration of vascular smooth muscle cells. J Biol Chem 291: 3967–3981. doi:10.1074/jbc.m115.684357
    OpenUrlAbstract/FREE Full Text
  6. ↵
    1. Chin L,
    2. Tam A,
    3. Pomerantz J,
    4. Wong M,
    5. Holash J,
    6. Bardeesy N,
    7. Shen Q,
    8. O’Hagan R,
    9. Pantginis J,
    10. Zhou H, et al.
    (1999) Essential role for oncogenic Ras in tumour maintenance. Nature 400: 468–472. doi:10.1038/22788
    OpenUrlCrossRefPubMed
  7. ↵
    1. D’Souza-Schorey C,
    2. Chavrier P
    (2006) ARF proteins: Roles in membrane traffic and beyond. Nat Rev Mol Cell Biol 7: 347–358. doi:10.1038/nrm1910
    OpenUrlCrossRefPubMed
  8. ↵
    1. Das L,
    2. Anderson TA,
    3. Gard JMC,
    4. Sroka IC,
    5. Strautman SR,
    6. Nagle RB,
    7. Morrissey C,
    8. Knudsen BS,
    9. Cress AE
    (2017) Characterization of laminin binding integrin internalization in prostate cancer cells. J Cell Biochem 118: 1038–1049. doi:10.1002/jcb.25673
    OpenUrlCrossRef
  9. ↵
    1. David CJ,
    2. Massagué J
    (2018) Contextual determinants of TGFβ action in development, immunity and cancer. Nat Rev Mol Cell Biol 19: 419–435. doi:10.1038/s41580-018-0007-0
    OpenUrlCrossRefPubMed
  10. ↵
    1. Desgrosellier JS,
    2. Cheresh DA
    (2010) Integrins in cancer: Biological implications and therapeutic opportunities. Nat Rev Cancer 10: 9–22. doi:10.1038/nrc2748
    OpenUrlCrossRefPubMed
  11. ↵
    1. Dotto GP,
    2. Rustgi AK
    (2016) Squamous cell cancers: A unified perspective on biology and genetics. Cancer Cell 29: 622–637. doi:10.1016/j.ccell.2016.04.004
    OpenUrlCrossRef
  12. ↵
    1. Eppert K,
    2. Takenaka K,
    3. Lechman ER,
    4. Waldron L,
    5. Nilsson B,
    6. van Galen P,
    7. Metzeler KH,
    8. Poeppl A,
    9. Ling V,
    10. Beyene J, et al.
    (2011) Stem cell gene expression programs influence clinical outcome in human leukemia. Nat Med 17: 1086–1093. doi:10.1038/nm.2415
    OpenUrlCrossRefPubMed
  13. ↵
    1. Hamasaki H,
    2. Koga K,
    3. Aoki M,
    4. Hamasaki M,
    5. Koshikawa N,
    6. Seiki M,
    7. Iwasaki H,
    8. Nakayama J,
    9. Nabeshima K
    (2011) Expression of laminin 5-γ2 chain in cutaneous squamous cell carcinoma and its role in tumour invasion. Br J Cancer 105: 824–832. doi:10.1038/bjc.2011.283
    OpenUrlCrossRefPubMed
  14. ↵
    1. Hamidi H,
    2. Ivaska J
    (2018) Every step of the way: Integrins in cancer progression and metastasis. Nat Rev Cancer 18: 533–548. doi:10.1038/s41568-018-0038-z
    OpenUrlCrossRefPubMed
  15. ↵
    1. Hammonds-Odie LP,
    2. Jackson TR,
    3. Profit AA,
    4. Blader IJ,
    5. Turck CW,
    6. Prestwich GD,
    7. Theibert AB
    (1996) Identification and cloning of centaurin-alpha. A novel phosphatidylinositol 3,4,5-trisphosphate-binding protein from rat brain. J Biol Chem 271: 18859–18868. doi:10.1074/jbc.271.31.18859
    OpenUrlAbstract/FREE Full Text
  16. ↵
    1. Hashimoto S,
    2. Onodera Y,
    3. Hashimoto A,
    4. Tanaka M,
    5. Hamaguchi M,
    6. Yamada A,
    7. Sabe H
    (2004) Requirement for Arf6 in breast cancer invasive activities. Proc Natl Acad Sci U S A 101: 6647–6652. doi:10.1073/pnas.0401753101
    OpenUrlAbstract/FREE Full Text
  17. ↵
    1. Janes SM,
    2. Watt FM
    (2006) New roles for integrins in squamous-cell carcinoma. Nat Rev Cancer 6: 175–183. doi:10.1038/nrc1817
    OpenUrlCrossRefPubMed
  18. ↵
    1. Kang SY,
    2. Toland AE
    (2016) High risk cutaneous squamous cell carcinoma of the head and neck. World J Otorhinolaryngol Head Neck Surg 2: 136–140. doi:10.1016/j.wjorl.2016.05.004
    OpenUrlCrossRef
  19. ↵
    1. Kelley LC,
    2. Lohmer LL,
    3. Hagedorn EJ,
    4. Sherwood DR
    (2014) Traversing the basement membrane in vivo: A diversity of strategies. J Cell Biol 204: 291–302. doi:10.1083/jcb.201311112
    OpenUrlAbstract/FREE Full Text
  20. ↵
    1. Klein S,
    2. Franco M,
    3. Chardin P,
    4. Luton F
    (2006) Role of the Arf6 GDP/GTP cycle and Arf6 GTPase-activating proteins in actin remodeling and intracellular transport. J Biol Chem 281: 12352–12361. doi:10.1074/jbc.m601021200
    OpenUrlAbstract/FREE Full Text
  21. ↵
    1. Knizhnik AV,
    2. Kovaleva OV,
    3. Komelkov AV,
    4. Trukhanova LS,
    5. Rybko VA,
    6. Zborovskaya IB,
    7. Tchevkina EM
    (2012) Arf6 promotes cell proliferation via the PLD-mTORC1 and p38MAPK pathways. J Cell Biochem 113: 360–371. doi:10.1002/jcb.23362
    OpenUrlCrossRefPubMed
  22. ↵
    1. Kraus DH,
    2. Carew JF,
    3. Harrison LB
    (1998) Regional lymph node metastasis from cutaneous squamous cell carcinoma. Arch Otolaryngol Head Neck Surg 124: 582–587. doi:10.1001/archotol.124.5.582
    OpenUrlCrossRefPubMed
  23. ↵
    1. Kreutz MR,
    2. Böckers TM,
    3. Sabel BA,
    4. Hülser E,
    5. Stricker R,
    6. Reiser G
    (1997) Expression and subcellular localization of p42IP4/centaurin-alpha, a brain-specific, high-affinity receptor for inositol 1,3,4,5-tetrakisphosphate and phosphatidylinositol 3,4,5-trisphosphate in rat brain. Eur J Neurosci 9: 2110–2124. doi:10.1111/j.1460-9568.1997.tb01378.x
    OpenUrlCrossRefPubMed
  24. ↵
    1. Legland D,
    2. Arganda-Carreras I,
    3. Andrey P
    (2016) MorphoLibJ: Integrated library and plugins for mathematical morphology with ImageJ. Bioinformatics 32: 3532–3534. doi:10.1093/bioinformatics/btw413
    OpenUrlCrossRefPubMed
  25. ↵
    1. Leonoudakis D,
    2. Huang G,
    3. Akhavan A,
    4. Fata JE,
    5. Singh M,
    6. Gray JW,
    7. Muschler JL
    (2014) Endocytic trafficking of laminin is controlled by dystroglycan and is disrupted in cancers. J Cell Sci 127: 4894–4903. doi:10.1242/jcs.152728
    OpenUrlAbstract/FREE Full Text
  26. ↵
    1. Liu R,
    2. Wang X,
    3. Chen GY,
    4. Dalerba P,
    5. Gurney A,
    6. Hoey T,
    7. Sherlock G,
    8. Lewicki J,
    9. Shedden K,
    10. Clarke MF
    (2007) The prognostic role of a gene signature from tumorigenic breast-cancer cells. N Engl J Med 356: 217–226. doi:10.1056/nejmoa063994
    OpenUrlCrossRefPubMed
  27. ↵
    1. Mandiyan V,
    2. Andreev J,
    3. Schlessinger J,
    4. Hubbard SR
    (1999) Crystal structure of the ARF-GAP domain and ankyrin repeats of PYK2-associated protein beta. EMBO J 18: 6890–6898. doi:10.1093/emboj/18.24.6890
    OpenUrlAbstract/FREE Full Text
  28. ↵
    1. Marchesin V,
    2. Castro-Castro A,
    3. Lodillinsky C,
    4. Castagnino A,
    5. Cyrta J,
    6. Bonsang-Kitzis H,
    7. Fuhrmann L,
    8. Irondelle M,
    9. Infante E,
    10. Montagnac G, et al.
    (2015) ARF6-JIP3/4 regulate endosomal tubules for MT1-MMP exocytosis in cancer invasion. J Cell Biol 211: 339–358. doi:10.1083/jcb.201506002
    OpenUrlAbstract/FREE Full Text
  29. ↵
    1. Marinkovich MP
    (2007) Tumour microenvironment: Laminin 332 in squamous-cell carcinoma. Nat Rev Cancer 7: 370–380. doi:10.1038/nrc2089
    OpenUrlCrossRefPubMed
  30. ↵
    1. Moore BA,
    2. Weber RS,
    3. Prieto V,
    4. El-Naggar A,
    5. Holsinger FC,
    6. Zhou X,
    7. Lee JJ,
    8. Lippman S,
    9. Clayman GL
    (2005) Lymph node metastases from cutaneous squamous cell carcinoma of the head and neck. Laryngoscope 115: 1561–1567. doi:10.1097/01.mlg.0000173202.56739.9f
    OpenUrlCrossRefPubMed
  31. ↵
    1. Moore CD,
    2. Thacker EE,
    3. Larimore J,
    4. Gaston D,
    5. Underwood A,
    6. Kearns B,
    7. Patterson SI,
    8. Jackson T,
    9. Chapleau C,
    10. Pozzo-Miller L, et al.
    (2007) The neuronal Arf GAP centaurin alpha1 modulates dendritic differentiation. J Cell Sci 120: 2683–2693. doi:10.1242/jcs.006346
    OpenUrlAbstract/FREE Full Text
  32. ↵
    1. Muranen T,
    2. Iwanicki MP,
    3. Curry NL,
    4. Hwang J,
    5. DuBois CD,
    6. Coloff JL,
    7. Hitchcock DS,
    8. Clish CB,
    9. Brugge JS,
    10. Kalaany NY
    (2017) Starved epithelial cells uptake extracellular matrix for survival. Nat Commun 8: 13989. doi:10.1038/ncomms13989
    OpenUrlCrossRefPubMed
  33. ↵
    1. Ning Y,
    2. Buranda T,
    3. Hudson LG
    (2007) Activated epidermal growth factor receptor induces integrin alpha2 internalization via caveolae/raft-dependent endocytic pathway. J Biol Chem 282: 6380–6387. doi:10.1074/jbc.m610915200
    OpenUrlAbstract/FREE Full Text
  34. ↵
    1. Ono Y,
    2. Nakanishi Y,
    3. Ino Y,
    4. Niki T,
    5. Yamada T,
    6. Yoshimura K,
    7. Saikawa M,
    8. Nakajima T,
    9. Hirohashi S
    (1999) Clinocopathologic significance of laminin-5 gamma2 chain expression in squamous cell carcinoma of the tongue: Immunohistochemical analysis of 67 lesions. Cancer 85: 2315–2321. doi:10.1002/(sici)1097-0142(19990601)85:11<2315::aid-cncr3>3.0.co;2-y
    OpenUrlCrossRefPubMed
  35. ↵
    1. Oshimori N,
    2. Oristian D,
    3. Fuchs E
    (2015) TGF-β promotes heterogeneity and drug resistance in squamous cell carcinoma. Cell 160: 963–976. doi:10.1016/j.cell.2015.01.043
    OpenUrlCrossRefPubMed
  36. ↵
    1. Osmani N,
    2. Pontabry J,
    3. Comelles J,
    4. Fekonja N,
    5. Goetz JG,
    6. Riveline D,
    7. Georges-Labouesse E,
    8. Labouesse M
    (2018) An Arf6- and caveolae-dependent pathway links hemidesmosome remodeling and mechanoresponse. Mol Biol Cell 29: 435–451. doi:10.1091/mbc.e17-06-0356
    OpenUrlAbstract/FREE Full Text
  37. ↵
    1. Quintavalle M,
    2. Elia L,
    3. Price JH,
    4. Heynen-Genel S,
    5. Courtneidge SA
    (2011) A cell-based high-content screening assay reveals activators and inhibitors of cancer cell invasion. Sci Signal 4: ra49. doi:10.1126/scisignal.2002032
    OpenUrlAbstract/FREE Full Text
  38. ↵
    1. Randazzo PA,
    2. Kahn RA
    (1994) GTP hydrolysis by ADP-ribosylation factor is dependent on both an ADP-ribosylation factor GTPase-activating protein and acid phospholipids. J Biol Chem 269: 10758–10763.
    OpenUrlAbstract/FREE Full Text
  39. ↵
    1. Rowe DE,
    2. Carroll RJ,
    3. Day CL
    (1992) Prognostic factors for local recurrence, metastasis, and survival rates in squamous cell carcinoma of the skin, ear, and lip. Implications for treatment modality selection. J Am Acad Dermatol 26: 976–990. doi:10.1016/0190-9622(92)70144-5
    OpenUrlCrossRefPubMed
  40. ↵
    1. RStudio Team
    (2015) RStudio: Integrated Development for R. Boston, MA: RStudio, Inc. URL http://www.rstudio.com/.
  41. ↵
    1. Rueden CT,
    2. Schindelin J,
    3. Hiner MC,
    4. DeZonia BE,
    5. Walter AE,
    6. Arena ET,
    7. Eliceiri KW
    (2017) ImageJ2: ImageJ for the next generation of scientific image data. BMC Bioinformatics 18: 529. doi:10.1186/s12859-017-1934-z
    OpenUrlCrossRefPubMed
  42. ↵
    1. Schindelin J,
    2. Arganda-Carreras I,
    3. Frise E,
    4. Kaynig V,
    5. Longair M,
    6. Pietzsch T,
    7. Preibisch S,
    8. Rueden C,
    9. Saalfeld S,
    10. Schmid B, et al.
    (2012) Fiji: An open-source platform for biological-image analysis. Nat Methods 9: 676–682. doi:10.1038/nmeth.2019
    OpenUrlCrossRefPubMed
  43. ↵
    1. Srinivas S,
    2. Watanabe T,
    3. Lin CS,
    4. William CM,
    5. Tanabe Y,
    6. Jessell TM,
    7. Costantini F
    (2001) Cre reporter strains produced by targeted insertion of EYFP and ECFP into the ROSA26 locus. BMC Dev Biol 1: 4. doi:10.1186/1471-213x-1-4
    OpenUrlCrossRefPubMed
  44. ↵
    1. Thacker E,
    2. Kearns B,
    3. Chapman C,
    4. Hammond J,
    5. Howell A,
    6. Theibert A
    (2004) The arf6 GAP centaurin alpha-1 is a neuronal actin-binding protein which also functions via GAP-independent activity to regulate the actin cytoskeleton. Eur J Cell Biol 83: 541–554. doi:10.1078/0171-9335-00416
    OpenUrlCrossRefPubMed
  45. ↵
    1. Venkateswarlu K,
    2. Brandom KG,
    3. Lawrence JL
    (2004) Centaurin-alpha1 is an in vivo phosphatidylinositol 3,4,5-trisphosphate-dependent GTPase-activating protein for ARF6 that is involved in actin cytoskeleton organization. J Biol Chem 279: 6205–6208. doi:10.1074/jbc.c300482200
    OpenUrlAbstract/FREE Full Text
  46. ↵
    1. Yanofsky VR,
    2. Mercer SE,
    3. Phelps RG
    (2011) Histopathological variants of cutaneous squamous cell carcinoma: A review. J Skin Cancer 2011: 210813. doi:10.1155/2011/210813
    OpenUrlCrossRefPubMed
View Abstract
Back to top
Download PDF
Article Alerts
Email Article
Citation Tools
ADAP1 induces cell migration and basement membrane breakdown
Avery Van Duzer, Sachiko Taniguchi, Ajit Elhance, Takahiro Tsujikawa, Naoki Oshimori
Life Science Alliance Dec 2019, 2 (6) e201900582; DOI: 10.26508/lsa.201900582
del.icio.us logo Digg logo Reddit logo Twitter logo CiteULike logo Facebook logo Google logo Mendeley logo
Issue Cover

In this Issue

Volume 2, No. 6
December 2019
Advertisement

Jump to section

Subjects