Abstract
Mutations affect gene functions related to cancer behavior, including cell growth, metastasis, and drug responses. Genome-wide profiling of cancer mutations and drug responses has identified actionable targets that can be utilized for the management of cancer patients. Here, the recapitulation of pharmacogenomic data revealed that the mutation of EPHB6 is associated with paclitaxel resistance in cancer cells. Experimental data confirmed that the EPHB6 mutation induces paclitaxel resistance in various cancer types, including lung, skin, and liver cancers. EPHB6 mutation-induced paclitaxel resistance was mediated by an interaction with EPHA2, which promotes c-Jun N-terminal kinase (JNK)-mediated cadherin 11 (CDH11) expression. We demonstrated that EPHB6-mutated cells acquire cell adhesion-mediated drug resistance (CAM-DR) in association with CDH11 expression and RhoA/focal adhesion kinase (FAK) activation. Targeted inhibition of EPHA2 or CDH11 reversed the acquired paclitaxel resistance, suggesting its potential clinical utility. The present results suggest that the EPHB6 mutation and its downstream EPHA2/JNK/CDH11/RhoA/FAK signaling axis are novel diagnostic and therapeutic targets for overcoming paclitaxel resistance in cancer patients.
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Introduction
Recent advances in the large-scale profiling of pharmacogenomic data, such as the Cancer Cell Line Encyclopedia (CCLE), have led to the identification of associations between genomic aberrations and drug sensitivity in cancer. Mutations in cancers are therefore considered diagnostic and therapeutic targets for the management of cancer patients. For example, targeting mutations in EGFR or BRAF in cancer is a strategy for patient-specific precision management in the clinic. In a previous work by our group, the recapitulation of CCLE data indicated that mutation of sulfatase-2 increases sorafenib sensitivity in liver cancer patients1, suggesting that pharmacogenomic data are useful resources for identifying novel diagnostic and/or therapeutic targets. Here, we reanalyzed CCLE data to identify novel targetable mutations related to the acquisition of drug resistance. The results indicated that the ephrin type-B receptor 6 (EPHB6) mutation may induce paclitaxel resistance.
The ephrin receptor (EPH receptor) subfamily is the largest subfamily of receptor tyrosine kinases, comprising 14 members in vertebrates, namely, ephrin type-A (EPHA) receptors 1–10 (EPHA1–A8 and EPHA10) and ephrin type-B (EPHB) receptors 1–6 (EPHB1–B4 and EPHB6)2,3. EPH receptors and ephrins play critical roles in various biological functions, such as embryonic patterning, nervous system development, and angiogenesis. However, the deregulated activation of ephrin/EPH receptor signaling in humans leads to tumor development and/or progression. The overexpression of the EPH receptor and ephrins has been shown in various cancer types. The upregulation of EPH receptors and ephrins is associated with poor prognosis and high vascularity in cancer, suggesting its detrimental effect on tumor progression. Unlike other EPH receptors, EPHB6 lacks tyrosine kinase activity4,5 and shows tumor-suppressive effects6,7,8. A recent study showed that EPHB6 expression is associated with better recurrence-free survival and increased drug sensitivity in triple negative breast cancers9. However, although recurrent mutations in EPHB6 are observed in various types of cancer, the effect of EPHB6 mutations on drug resistance remains to be investigated.
The present study investigated the effect of the EPHB6 mutation on paclitaxel resistance in various cancer types. The results showed that the EPHB6 mutation leads to the acquisition of cell adhesion-mediated drug resistance (CAM-DR) through a mechanism involving ephrin type-A receptor 2 (EPHA2) and cadherin 11 (CDH11) expression. The present results suggest a novel mechanism underlying paclitaxel resistance in cancer patients and identify EPHB6 as a novel therapeutic target and/or biomarker for paclitaxel resistance in cancer patients.
Materials and methods
Pharmacogenomic data analysis
Mutations and drug sensitivity data from CCLE were analyzed. In brief, mutational features were categorized as described previously10. The mutation features of damaging loss-of-function (LOF) mutations, including nonsense, frameshift indel, and splice sites, were classified as “mutLOF”. The missense mutations were classified as “nnMS”. Combined mutation features of mutLOF and nnMS were classified as “mutLOF_nnMS”. The association of drug response with gene mutations was evaluated by applying Fisher’s exact test and the regularized elastic net regression analysis, and novel candidate drug-mutation pairs were selected by applying a prior knowledge-based filtering method, as described previously1 (for details see Supplementary Methods).
Gene expression constructs and lentiviral vector transfection
Lentiviral constructs expressing CDH11 shRNA and JUN shRNA were purchased from Sigma-Aldrich (St. Louis, MO, USA). The EPHB6-wild type, EPHB6-Q926R, EPHB6-del915-917 cDNA constructs were cloned into pCDH-CMV-MCS-EF1-Puro, a lentiviral vector for cDNA expression (System Biosciences, Mountain View, CA, USA). All lentiviral vectors were transfected into 293TN cells (System Biosciences) with Lipofectamine 3000 transfection reagent (Invitrogen, Waltham, MA, USA). Particles were collected 2 days after the transfection of the lentiviral plasmids and used to infect cancer cells. Lentivirus-infected cancer cells were puromycin-selected for 1 week.
RNA-seq profiling
Total RNA was extracted from each sample using the mirVana Total RNA Extraction Kit (Ambion, Austin, TX). The sequencing library for RNA was constructed using the TruSeq RNA Sample Preparation Kit (Illumina, San Diego, CA) according to the manufacturer’s instructions. The sequencing reaction was performed on an Illumina NextSeq 500 for paired end reads (2 × 75 bp) with coverage greater than 30 million reads per sample. The raw image data were transformed and stored in the FASTQ format. The sequence reads were mapped to the human reference genome (hg38), and RNA abundance was estimated by using Tophat and Cufflinks with default parameters, and log2 transformed FPKM (fragment per kilobase of transcript per million mapped reads) values were used.
In vivo experiments
Vector, WT (wild type), or Q926R cells (1 × 107 cells/100 µl) and Matrigel (Corning, Bedford, MA, USA) 100 µl mixtures (total, 200 µl/head) were injected subcutaneously in the right rear dorsal flank region of Balb/c nude mice. When the tumor volume reached ~50 mm3, the mice were randomized into two treatment groups: control, 20 mg/kg paclitaxel. Paclitaxel was administered on days 1, 3, and 5 via intraperitoneal injection11. The tumors were measured using an optical caliper with a 3-day interval, and the tumor size was calculated using the following formula: length × (width)2 × 0.5. All surgical and experimental procedures were approved by the institutional animal care and use committee at Ajou University, College of Medicine.
RhoA GTPase activity assay
RhoA activity was measured by using a kit from Cell Biolabs (San Diego, CA, USA). Briefly, the cell lysates were incubated with agarose beads coupled to the Rho-binding domain (RBD) of Rhotekin. The amount of bound RhoA was measured by western blot analysis using an anti-RhoA antibody.
Cell adhesion assay
Cell adhesion was measured by a colorimetric-based assay (CytoSelect 48-Well Cell Adhesion Assay; Cell Biolabs Inc.) according to the manufacturer's instructions. Briefly, the cells were serum starved for 24 h prior to seeding onto collagen type IV-coated adhesion plates at a concentration of 1 × 106 cells/ml in serum-free media. The cells were incubated for 90 min. Non-adherent cells were gently removed by several washes with 1× PBS, then the adherent cells were fixed with 3.7% formaldehyde and stained with Coomassie Brilliant Blue. The adherent cells were dissolved in an extraction solution, and the absorbance of this solution was measured at 560 nm in a microplate reader.
In vitro drug sensitivity assay
To estimate CAM-DR, an in vitro drug sensitivity assay was performed in six-well plates as previously described12. Cells (1 × 103 cells) were preincubated with or without the indicated drugs for 15 min and then adhered to plates coated with collagen type IV. After overnight incubation at 37 °C for adhesion, paclitaxel (10 nM) was added, and the incubation was continued for 24 h. After washing the plates twice with serum-free RPMI-1640, the cells were grown in complete culture medium for 14 days. The resulting colonies grown on the plates were stained with Coomassie Brilliant Blue, and the visible number of colonies was counted.
Cell culture and other molecular experiments
The cells, antibodies, reagents, and the detailed methods for the molecular experiments of real-time PCR, immunoprecipitation, western blotting, confocal imaging, and cell proliferation, migration and, invasion assays are described in Supplementary Methods.
Results
EPHB6 mutation increases paclitaxel resistance in cancer cells
The CCLE data were analyzed following a prior knowledge-based pipeline to detect novel mutation-induced alterations in drug resistance (for details see “Materials and methods” and Supplementary Methods). The analysis predicted four candidate gene mutation-drug pairs associated with drug resistance (Fig. 1a). Of these, EPHB6 mutation-paclitaxel was the top ranked pair for the acquisition of drug resistance (Supplementary Table 1). Mutations in EPHB6 were frequently found in lung cancers (6.5%) and melanomas (6.7%) (Supplementary Fig. 1), showing an association with a prometastatic phenotype13. Of the EPHB6 mutations, nonsense mutations and a missense mutation, Q926R, showed the highest resistance to paclitaxel treatment (Supplementary Table 2). Therefore, we constructed EPHB6-Q926R mutant (Q926R)- and WT-expressing cells using an A549 lung cancer cell line (Supplementary Fig. 2A). We observed that the IC50 value for paclitaxel was markedly higher in Q926R cells (7.864 nM) than that in the Vector or WT cells (IC50 for Vector, 4.346 nM; IC50 for WT, 4.661 nM, Fig. 1b). We also observed EPHB6 mutation-induced paclitaxel resistance in A375P melanoma and Huh7 liver cancer cells (Supplementary Fig. 2B, C and Fig. 1c, d), which may indicate EPHB6 (Q926R) mutation-induced paclitaxel resistance in diverse cancer types.
The Q926R mutation was not observed in human cancer tissues from TCGA data; therefore, we decided to examine other EPHB6 mutations that were observed in human cancers. The Q926R mutation resides in the region of the EPHB6 protein between the tyrosine kinase catalytic domain (Tyrkc 655-900) and the sterile alpha motif (SAM 930-982). In this region, del915-917, D915G, and G914V were recurrently observed in human cancer patients13,14. Among these mutations, an in-frame deletion at 915-917 has been shown to increase the metastatic potential of lung cancers, implying its pathobiological significance13. We therefore evaluated whether the del915-917 mutation is associated with paclitaxel resistance. The EPHB6-del915-917 (del915-917) cells (Supplementary Fig. 2D), compared to the WT cells, exhibited increased IC50 values for paclitaxel (del915-917, IC50 = 7.52 nM; WT, IC50 = 4.661 nM) (Fig. 1e). These results indicate that EPHB6 mutations, at least in this region (amino acids 901-929), lead to the acquisition of paclitaxel resistance.
In an in vivo xenograft mouse model, paclitaxel treatment significantly reduced tumor volume in Vector and WT tumors, whereas it had no effect on Q926R tumors (Fig. 1f). Taken together, these results suggest that the mutation of EPHB6 induces paclitaxel resistance in tumor cells.
EPHB6 (Q926R) interferes with EPHA2 degradation by c-Cbl
EPHB6 interacts with several EPH receptors, such as EPHA2, EPHB2, and EPHB415,16. In particular, EPHA2 is frequently expressed in nonsmall cell lung cancers (90%) and metastatic melanomas (67%) in association with poor prognostic outcomes17. Based on this concern, we next investigated whether the interaction of EPHA2 with EPHB6 plays a role in the acquisition of paclitaxel resistance. EPHA2 was expressed at lower levels in WT cells than in Vector cells, whereas EPHA2 expression was higher in Q926R and del915-917 cells (Fig. 2a). These results strongly suggest that EPHA2 expression is involved in the acquisition of paclitaxel resistance associated with the EPHB6 mutation.
Unlike the protein expression levels, EPHA2 mRNA expression levels did not differ significantly between Vector, WT, Q926R, and del915-917 cells (Fig. 2b), suggesting that the EPHB6 mutation affects EPHA2 expression at the posttranscriptional level. Because EPHB6 interacts with EPHA2 and suppresses oncogenic signaling18, we examined whether mutations in EPHB6 affected its interaction with EPHA2. The results showed that the amount of EPHB6 (WT) co-immunoprecipitated with EPHA2 was markedly diminished, whereas the interaction between EPHB6 (Q926R) and EPHA2 was markedly increased (Fig. 2c). This result suggests that the interaction of EPHA2 with EPHB6 affects the stability of EPHA2 protein at the posttranscriptional level. The stability of the EPHA2 protein is regulated by the c-Cbl ubiquitin ligase19; therefore, we evaluated the effect of c-Cbl on the stability of the EPHB6-EPHA2 complex. In the presence of the proteasome inhibitor MG-132 (10 µM), the amount of c-Cbl recruited to the EPHA2-EPHB6 (Q926R) complex was lower than that interacting with the EPHA2-EPHB6 (WT) complex (Fig. 2d). These findings indicate that the mutation of EPHB6 inhibits the recruitment of c-Cbl to the EPHA2-EPHB6 complex, suppressing the c-Cbl-induced degradation of EPHA2.
To further support our finding, we analyzed structural alterations in the EPHB6 mutant and its interaction with c-Cbl. The conformational rearrangement of the SAM domain of EPHB6 may affect the flexibility and the optimum length of the loop between the SAM and kinase domains. Indeed, we observed that the arginine residue of the Q926R mutant was spatially close to the α1 helix-containing polar glutamine 954 and serine 958 (Fig. 2e, top). This topology may compromise the flexibility of the loop by facilitating new contacts with the nearby glutamine in the SAM domain. In addition, receptor tyrosine kinases contain a consensus motif (D/N)XpYXX(D/E0φ), which is recognized by Src homology 2 (SH2) or the tyrosine kinase binding (TKB) domain of c-Cbl20. We observed that EPHB6, but not EPHA2, had a similar phosphotyrosine-containing motif in the juxtamembrane region, which may recruit c-Cbl by establishing contacts with the TKB domain of c-Cbl (Fig. 2e, bottom). Thus, we suggest that the structural alteration of the EPHB6 mutation reduces the flexibility of the SAM domain, suppressing c-Cbl recruitment, which in turn suppresses the degradation of EPHA2 by c-Cbl.
Next, we investigated the downstream signaling pathways of EPHA2. The tumor-promoting effects of EPHA2 are mediated by ligand-independent signaling involving serine S897 phosphorylation21,22. Consistently, the present results showed that EPHA2 phosphorylation at S897 was lower in WT cells and significantly higher in Q926R cells than in Vector cells (Fig. 2f). This finding may indicate that ligand-independent EPHA2 signaling is activated by the Q926R mutation but suppressed in WT cells.
Because c-Jun N-terminal kinase (JNK) is a downstream gene in the EPHA2 ligand-independent signaling pathway that promotes the aggressive behavior of cancer cells, we examined JNK activation status in our model22. The active forms of JNK and c-Jun were increased significantly at 10 min after serum stimulation in Q926R cells but not in Vector and WT cells (Fig. 2g). Exposure of cells to the EPHA2 inhibitor ALW-II-41-27 (0.5 µM) or the JNK inhibitor SP600125 (5 µM) increased paclitaxel sensitivity in Q926R cells, but not in Vector and WT cells (Fig. 2h). These results indicate that EPHA2/JNK is involved in the paclitaxel resistance induced by the EPHB6 mutation. Taken together, these results suggest that the EPHB6 mutation promotes ligand-independent EPHA2 signaling and JNK activation.
CDH11 is a downstream effector gene for EPHB6 (Q926R)-induced paclitaxel resistance
To identify potential effector genes associated with the Q926R mutation, we performed RNA-seq profiling and identified genes differentially expressed in Q926R and WT cells (i.e., EPHB6_MT, n = 171, and EPHB6_WT, n = 98, fold difference >0.5, Fig. 3a and Supplementary Table 3). Gene ontology analysis revealed that compared to WT cells, Q926R cells were highly enriched with cell localization-related functions (enrichment scores = 2.7, Supplementary Table 4). Among the EPHB6_MT genes, CDH11 showed the greatest difference in expression between Q926R and WT cells. The expression of CDH11 was assessed by qRT-PCR in Q926R and del915-917 mutant cells (Fig. 3b). In addition, to determine whether the EPHB6_MT signature has functional and clinical significance, the gene expression profiles of lung adenocarcinoma cohorts (TCGA-LUAD, n = 533) were analyzed. The results showed that CDH11 expression was significantly correlated with enrichment scores for the expression of cell adhesion genes (r = 0.63, P = 7.19 × 10−61, Fig. 3c). Moreover, the enrichment scores of the EPHB6_MT signature were highly correlated with CDH11 expression levels. The stratification of patients into two groups according to the EPHB6_MT enrichment scores showed that CDH11 expression was higher in the high EPHB6_MT group (n = 187) than that in the low EPHB6_MT group (n = 346) (permutated T-test P = 1.14 × 10−6, Fig. 3d, left). Kaplan–Meier analysis showed that the high EPHB6_MT group had worse overall survival than the low EPHB6_MT group (hazard ratio = 1.60, P = 1.91 × 10−3, Fig. 3d, right). These results indicate that the EPHB6_MT signature, including CDH11, may play regulatory roles in cancer progression.
After confirming the functional significance of the EPHB6_MT signature, we further investigated the functional roles of CDH11 in paclitaxel resistance. The shRNA-mediated knockdown of CDH11 significantly reduced EPHB6 mutation-induced paclitaxel resistance, indicating that CDH11 is a potential downstream effector for acquired drug resistance (Fig. 3e and Supplementary Fig. 3). We next investigated whether EPHA2 activation promoted CDH11 expression. Treatment with the EPHA2 inhibitor ALW-II-41-27 (1 µM) suppressed EPHB6 (Q926R)-induced CDH11 expression (Fig. 3f). Treatment with the JNK inhibitor SP600125 (20 µM) or c-Jun shRNAs also significantly suppressed EPHB6 (Q926R)-induced CDH11 expression (Fig. 3g, h). Taken together, these results suggest that the EPHB6 mutation induces CDH11 expression, resulting in the acquisition of paclitaxel resistance, which is mediated by the activation of EPHA2 and JNK.
EPHB6 (Q926R)-induced CDH11 expression activates RhoA and stress fiber formation
CDH11 is a cell adhesion molecule that activates the formation of cytoskeletal actin stress fibers, increasing the metastatic potential of cancer cells23. The present analysis showed that the production of stress fibers and focal adhesion molecules, such as vinculin, was higher in Q926R and del915-917 cells than that in Vector or WT cells (Fig. 4a). Because RhoA activation promotes stress fiber formation24, we performed a RhoA protein pull-down assay, which showed that GTP-bound RhoA protein levels were higher in Q926R and del915-917 cells than those in Vector or WT cells (Fig. 4b). In addition, treatment with EPHA2 inhibitor (ALW-II-41-27, 1 µM), JNK inhibitor (SP600125, 20 µM), or Rho-associated protein kinase inhibitor (Y27632, 10 µM) suppressed stress fiber and focal adhesion formation in Q926R cells (Fig. 4c). These results indicate that the EPHB6 mutation induces stress fiber and focal adhesion formation and the EPHA2/JNK/RhoA pathway is involved in this process.
To determine whether CDH11 is involved in the increased stress fiber and focal adhesion formation in EPHB6 mutant cells, CDH11 was knocked down (Supplementary Fig. 3), which suppressed stress fiber and focal adhesion formation as well as the expression of GTP-RhoA in Q926R cells but not in WT cells (Fig. 4d, e). Treatment with Y27632 (10 µM) rescued the acquired paclitaxel resistance in Q926R cells (Control, IC50 = 8.07 nM; Y27632, IC50 = 3.208 nM) and del915-917 cells (Control, IC50 = 7.52 nM; Y27632, IC50 = 3.928 nM) (Fig. 4f). Taken together, these results suggest that EPHB6 mutation-induced CDH11 expression promotes stress fiber and focal adhesion formation through the activation of EPHA2/JNK/RhoA signaling.
CAM-DR is induced in Q926R cells
The effect of the EPHB6 mutation on promoting stress fiber and focal adhesion formation implies that alterations in cell adhesion properties may play key roles in the acquisition of paclitaxel resistance. Indeed, CAM-DR is one of the mechanisms underlying the acquisition of drug resistance25. Moreover, a recent study showed that CDH11 expression can promote cell adhesion26. We therefore evaluated the potential involvement of CAM-DR in EPHB6 mutation-induced paclitaxel resistance.
First, we evaluated the effect of EPHB6 on cancer cell migration/invasion and growth. Previous studies have shown that EPHB6 regulates cell motility and invasive potential rather than cell proliferation in different tumor types7,27. Similarly, we observed that compared with the Vector cells, the WT cells showed less migration/invasion, whereas no differences in proliferation were observed between the WT and Vector cells (Fig. 5a and Supplementary Fig. 4). However, Q926R cells showed a higher rate of proliferation and higher migration/invasion ability than did WT cells (Fig. 5a and Supplementary Fig. 4). In addition, the adhesion to collagen type IV (Col IV) was higher in Q926R and del915-917 cells than in Vector cells (Fig. 5b). Cell migration/invasion potential and adhesion ability were significantly lower in WT cells than in mutant cells, reflecting the tumor suppressor phenotype of these cells. These results suggest that the EPHB6 mutation confers CAM-DR, which is not observed in Vector or WT cells.
We next sought to identify molecular mediators of CAM-DR in EPHB6 mutant cells. Focal adhesion kinase (FAK) is a key regulator of cancer cell invasion and cell adhesion. To determine whether EPHB6 status regulates FAK activation, the phosphorylation of FAK at Y397 was examined. The results showed that FAK phosphorylation was increased in both Q926R and del915-917 cells, but not in Vector or WT cells (Fig. 5c). FAK regulates actin remodeling by activating JNK and RhoA28. In the present study, the inhibition of JNK (SP600125, 20 µM) or RhoA (Y27632, 10 µM) decreased FAK phosphorylation in mutant cells. In addition, increased adhesion in Q926R cells was abolished by exposure to ALW-II-41-27 (0.5 µM), CDH11 shRNA, SP600125 (20 µM), Y27632 (10 µM), or FAK inhibitor (2.5 µM, Fig. 5d).
An in vitro drug sensitivity assay was performed to confirm the involvement of the EPHB6 mutation in the acquisition of CAM-DR. For this purpose, the cells were adhered to Col IV-coated wells and treated with paclitaxel. Subsequently, colony formation was measured (for details, see “Materials and methods”). The results showed that colony formation after paclitaxel treatment was significantly higher in attached EPHB6 mutant cells than in Vector or WT cells (Fig. 5e). These data indicate that EPHB6 mutation-induced paclitaxel resistance is a CAM-DR process. Furthermore, CAM-DR induced by the EPHB6 mutation was abolished by treatment with CDH11 shRNA, ALW-II-41-27 (0.5 µM), SP600125 (20 µM), Y27632 (10 µM), or FAK inhibitor 14 (2.5 µM) (Fig. 5e). Taken together, these results suggest that the EPHB6 mutation induces CAM-DR through the activation of EPHA2/JNK/CDH11/RhoA/FAK signaling.
Discussion
In the present study, a previous knowledge-based CCLE data analysis predicted that the EPHB6 mutation induces paclitaxel resistance in cancer cells, which was validated experimentally. We also demonstrated that the EPHB6 mutation acquires CAM-DR. The EPHB6 mutant interacted with EPHA2 and activated downstream JNK/CDH11/RhoA/FAK signaling. A graphical summary of our findings is shown in Fig. 6.
Although EPHB6 lacks tyrosine kinase activity, its cytoplasmic domain is phosphorylated by EPHB1, EPHB4, or a Src family tyrosine kinase. EPHB6 interacts with EPHA2 and suppresses its oncogenic effect18. Consistent with the previous findings, we observed an oncosuppressive effect of EPHB6 (WT) mediated by an interaction with EPHA2 and the suppression of its oncogenic function (see Fig. 5). In contrast, the EPHB6 mutant acquired a phenotype leading to the activation of EPHA2 and downstream JNK signaling (Fig. 2). This effect was mediated by the inhibition of c-Cbl recruitment, which in turn inhibited the degradation of EPHA2. The oncogenic function of EPHA2 is ligand-independent, as exogenous ephrin-A1 stimulation inhibits tumor cell proliferation29. Unlike the WT, mutant EPHB6 induced CDH11 expression and promoted paclitaxel resistance. Taken together with previous data, our findings suggest that the EPHB6 mutation activates ligand-independent EPHA2 signaling, which modulates the different functional activities of the EPHB6 mutant and WT proteins.
CDH11 is a mesenchymal cadherin that is frequently expressed in various cancer types in association with aggressive cancer behaviors, such as adhesion, migration, and metastasis30,31. Cell adhesion to the extracellular matrix is achieved by the activation of actin cytoskeleton remodeling and focal adhesion formation, specifically the assembly of actin into contractile stress fibers. Focal adhesions are dynamic complexes that contain proteins, such as integrins, FAK, paxillin, and vinculin. The binding of vinculin to F-actin is critical for cell-matrix adhesion32. The present data indicated that the expression of CDH11 in EPHB6 mutant cells leads to the acquisition of CAM-DR in association with increased stress fiber assembly and focal adhesion formation.
In conclusion, the present results suggest that the EPHB6 mutation promotes cancer cell proliferation and migration/invasion and induces CAM-DR, and these effects are mediated by the stabilization of EPHA2 and the activation of downstream JNK/CDH11/RhoA/FAK signaling. The combined and precise targeting of these pathways might have therapeutic or diagnostic benefits in the management of paclitaxel resistance in cancer patients.
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Acknowledgements
This work was supported by grants from the Korea Health Technology R&D Project through the Korea Health Industry Development Institute (KHIDI) funded by the Ministry of Health & Welfare, Republic of Korea (H15C1551) and the National Research Foundation of Korea (NRF) funded by the Korea government (MSIP) (NRF-2017R1E1A1A01074733 and NRF-2017M3A9B6061509, NRF-2015R1D1A4A01020022, and NRF-2017M3C9A6047620).
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Authors and Affiliations
Contributions
S.Y. performed the experiments and wrote the manuscript. J.H.C. and E.J. L. performed bioinformatic analyses. S.K. performed the experiments. M.S. and S.C. performed protein structure analyses. H.W. contributed to the overall study design, wrote the manuscript, and directed the study.
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Yoon, S., Choi, JH., Kim, S.J. et al. EPHB6 mutation induces cell adhesion-mediated paclitaxel resistance via EPHA2 and CDH11 expression. Exp Mol Med 51, 1–12 (2019). https://doi.org/10.1038/s12276-019-0261-z
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DOI: https://doi.org/10.1038/s12276-019-0261-z