Abstract
RAS mutant (MT) metastatic colorectal cancer (mCRC) is resistant to MEK1/2 inhibition and remains a difficult-to-treat group. Therefore, there is an unmet need for novel treatment options for RASMT mCRC. RALA and RALB GTPases function downstream of RAS and have been found to be key regulators of several cell functions implicated in KRAS-driven tumorigenesis. However, their role as regulators of the apoptotic machinery remains to be elucidated. Here, we found that inhibition of RALB expression, but not RALA, resulted in Caspase-8-dependent cell death in KRASMT CRC cells, which was not further increased following MEK1/2 inhibition. Proteomic analysis and mechanistic studies revealed that RALB depletion induced a marked upregulation of the pro-apoptotic cell surface TRAIL Death Receptor 5 (DR5) (also known as TRAIL-R2), primarily through modulating DR5 protein lysosomal degradation. Moreover, DR5 knockdown or knockout attenuated siRALB-induced apoptosis, confirming the role of the extrinsic apoptotic pathway as a regulator of siRALB-induced cell death. Importantly, TRAIL treatment resulted in the association of RALB with the death-inducing signalling complex (DISC) and targeting RALB using pharmacologic inhibition or RNAi approaches triggered a potent increase in TRAIL-induced cell death in KRASMT CRC cells. Significantly, high RALB mRNA levels were found in the poor prognostic Colorectal Cancer Intrinsic Subtypes (CRIS)-B CRC subgroup. Collectively, this study provides to our knowledge the first evidence for a role for RALB in apoptotic priming and suggests that RALB inhibition may be a promising strategy to improve response to TRAIL treatment in poor prognostic RASMT CRIS-B CRC.
Subject terms: Colon cancer, Oncogenes, Apoptosis
Introduction
Mutations in RAS (KRAS and NRAS) in exon 2 (codon 12, 13), 3 (codon 59, 61) and 4 (codon 117, 146) occur in 55–60% of colorectal cancer (CRC) patients1 and have been associated with poor survival2. Activating mutations in RAS lead to aberrant activation of RAS downstream effector signalling either by increasing its intrinsic GDP/GTP exchange rate or by reducing the rate of its intrinsic and GTP-ase activating protein (GAP)-induced hydrolysis3. RAS has proven difficult to target and inhibition of its downstream effectors MEK1/2 and AKT/PI3K has been shown to be ineffective in RAS mutant (MT) CRC4,5.
Like RAS, the RAS-like (RAL) small GTPases RALA and RALB are activated by RAL-selective guanine nucleotide exchange factors (RAL-GEFs), such as the RAL guanine nucleotide dissociation stimulator (RALGDS), and are inactivated by GTPase activating proteins (RALGAPs). RALGDS couples RAS to the RAL proteins, stimulating the GDP/GTP exchange of RAL. In their active GTP-bound state, RALA and RALB can interact with a range of functionally different effectors, including RALBP1, EXO84 and SEC5, two distinct subunits of the hetero-octomeric exocyst complex, as well as with ZO-1-associated nucleic acid-binding protein (ZONAB)6. Previous studies have established the requirement for RAL-GEFs for the transformation of human epithelial cells7,8. Using a KRAS-driven murine lung carcinoma model, other investigators have shown that RALA or RALB activity is required for tumour growth9. RALA and RALB have also been shown to have opposing and/or distinct roles in migration and anchorage-independent growth in bladder, prostate and pancreatic cancer, respectively10–12.
In this study, we report a novel role for RALB in regulating Death Receptor 5 (DR5) protein levels and cell death in KRASMT CRC. Cellular and mechanistic studies indicate that RALB associates with DR5 and the death-inducing signalling complex (DISC) in a ligand-dependent manner, and that inhibition of RALB combined with DR5 agonists can be a novel treatment strategy for poor prognostic Colorectal Cancer Intrinsic Subtype (CRIS)-B13 KRASMT CRC.
Materials and methods
Materials
AZD6244, recombinant human (rh)TRAIL and z-VAD-FMK were purchased from AstraZeneca (Macclesfield, UK), Calbiochem (Hertfordshire, UK) and Sigma-Aldrich (Gillingham, Dorset, UK), respectively. Isoleucine-zipper TRAIL (iz-TRAIL) was expressed and purified in-house14. iz-TRAIL is a modified form of rhTRAIL that comprises an isoleucine zipper motif fused to its N-terminus, which enhances its ability to trimerise — a process required for its apoptotic activity, consequently increasing its potency. siRNA sequences targeting RALA (_8 SI03101133), RALB (_1 S100045199; _4 SI00045178; _6 SI03054793; _7 SI03117492), RALGDS (_5 SI03231424), Caspase-8 (_11 SI02661946) and Caspase-9 (_5 SI00299600) were purchased from Qiagen (Crawley, UK). siRNA sequences targeting DR4 and DR5 were purchased from Dharmacon. TRAIL neutralising antibody, Chloroquine and Bafilomycin A1 were purchased from R&D systems (Abingdon, UK), Invivogen (San Diego, CA) and Merck Millipore (Darmstadt, Germany), respectively.
Cell culture
Authentication and culture of the HCT116, SW620, GP5d, LoVo, LIM1215 and COLO320 CRC cells have previously been described15,16. KM12 cells were obtained from the National Cancer Institute-Frederick, Cancer DCT Tumour repository (authentication: SNP arrays, oligonucleotide-base HLA typing, karyotyping and STR) and maintained in Roswell Park Memorial Institute 1640 (RPMI). DiFi, SW403, NCI-498 and HDC8 CRC cells were obtained from Dr. Montagut (Barcelona, Spain) and Prof. Bardelli, respectively17,18. HCT116 Caspase-8 wild-type (WT) and null paired cells, DR5 parental and knockout cells, and p53 parental and matched isogenic p53 null CRC cells were a gift from Prof. G. Lahav (Harvard Medical School, Boston)19, Prof. M. Rehm (University of Stuttgart) and Prof. B. Vogelstein (Johns Hopkins University, Baltimore), respectively, and were grown in McCoy’s 5 A Modified Medium. All cells were passaged for a maximum of two months. Cell lines were tested for mycoplasma contamination every month using the MycoAlert™ Mycoplasma Detection Kit (Lonza).
Western blotting
Western blotting and antibodies have previously been described15. Antibodies were used in conjunction with a HRP-conjugated anti-rabbit or anti-mouse secondary antibody. β-actin was used as a sample loading control. Details of the antibodies used have been included in Table S1. Western blot images were developed using the G:BOX Chemi XX6 gel doc system (Syngene). Densitometry on western blot images was performed using ImageJ software.
DR5-DISC IP assay
The DR5-DISC IP assay was performed as previously published20. The fully human agonistic DR5 antibody AMG 655 (Conatumumab; Amgen, Thousand Oaks, CA, USA) was conjugated to Dynabeads using the Dynabeads® antibody coupling kit (Life Technologies, Paisley, UK) as per the manufacturer’s instructions. To the cells, 30 μL of AMG 655-conjugated Dynabeads® was added for the indicated time. The cells were lysed in lysis buffer (0.2% NP-40, 20 mM Tris, 150 mM NaCl, 10% glycerol; pH 7.4) supplemented with protease inhibitors. The AMG 655-conjugated Dynabeads® were captured magnetically, washed in lysis buffer, resuspended in Laemmli buffer and analysed by western blotting. Unbound fractions (inputs) were also collected and analysed by western blotting.
FLAG-co-immunoprecipitation
Protein lysates were prepared using SDS-free RIPA (50 mM Tris, 150 mM NaCl, 1% Triton X-100 and 5 mM EDTA, pH 7.4). Lysates were incubated with anti-FLAG® M2 Magnetic beads (Sigma) overnight and isolated using a magnetic rack. After several washes, beads were resuspended in Laemmli buffer and heated at 95 °C for 5 minutes prior to immunoblot analysis.
RALB activity assay
GTP-bound RALB was isolated from whole cell lysates using a RALB activation Assay Kit (Merck Millipore). The assay was performed according to the manufacturer’s instructions.
Expression constructs and transfection
FLAG-tagged WT and constitutively active (G23V) RALB constructs were provided by Prof. Dan Theodorescu (Denver University, Colorado)21. Site-directed mutagenesis to generate the other RALB mutants (S28N, C203S) was performed using the KOD Xtreme™ Hot Start DNA Polymerase kit (Merck Millipore). DNA transfection was carried out using XtremeGene-HP reagent (Roche).
Proteome Profiler Human Apoptosis Array Kit
Array was analysed according to the manufacturer’s instructions (R&D systems, Abingdon). Array densitometry was performed on the duplicate ‘spots’ using ImageJ software. Background intensity was subtracted from raw pixel density values. Normalised pixel density values were represented as a ‘fold-change’ relative to the control values, with error bars representing standard deviation from the mean.
Flow cytometry
Apoptosis was evaluated using propidium iodide (PI) staining to determine the percentage of cells with DNA content <2 N (sub-G1)15. The BD FACS Calibur Flow Cytometer (BD Biosciences) and Cell Quest Pro Software was used to perform PI staining flow cytometry. DR5 cell -surface expression flow cytometry was performed using a phycoerythrin (PE)-conjugated DR5-specific antibody (12-9908-42, ThermoFisher Scientific) and a matched isotype control antibody (12-4714-41, ThermoFisher Scientific). The BD FACS Calibur Flow Cytometer and Cell Quest Pro Software were used to analyse geometric means for cell surface expression. Ten thousand events were counted per experiment for all the flow cytometry experiments.
High content screening
Annexin V (AV)/PI staining was evaluated using high content screening and performed in a 96-well plate (glass-bottomed plates, Cell Vis) format. Cells were seeded and treated as required (each treatment was performed in triplicate). Post-treatment, 1x AV Binding Buffer (10x concentrate, BD Pharmingen, San Jose, CA, USA), 1:1000 FITC Annexin V (BD Pharmingen), 0.333 µg/ml PI and 1.33 µg/ml Hoechst 33342 (Thermo Fisher Scientific) were added to each well, and the plate was incubated for 20 min at room temperature. High content screening was performed using the ArrayScan™ XTI HCA Reader and the HCS Studio Cell Analysis Software V6.6.0 (ThermoFisher Scientific, Surrey, UK). The CrEST™ X-Light™ Confocal Scan Head (ThermoFisher Scientific) was integrated into the ArrayScan™ Reader, which enabled the capture of fluorescent microscopy images of cells. The ArrayScan™ collected multiple images until a maximum of 2000 cells was imaged per well.
Images were analysed using the HCS Studio Cell Analysis Software V6.6.0 (Thermo Fisher Scientific). Briefly, the software calculated total death by quantifying cells that were AV stained, PI stained or both (cells were identified by nuclear Hoechst staining). This data was then graphed using GraphPad Prism 8.0.
Caspase-3/7 activity assays
Caspase-3/7-Glo® reagent (25 μl) (Promega, Southampton, UK) was incubated with 5 μg of protein lysate diluted in phosphate buffered saline in a total volume of 50 μl for 45 minutes at room temperature. Luciferase activity was measured using a luminescent plate reader (Biotek Synergy 4 plate reader).
Crystal violet assays
Cell viability was determined using crystal violet assays, as previously published22.
Immunofluorescence
Cells were seeded into 8-well chambers (ThermoFisher Scientific), incubated overnight and treated as required (each treatment was performed across duplicate chambers within an experiment). Cells were washed in phosphate buffered saline and fixed in 4% paraformaldehyde. Cells were incubated with Alexa-488 labelled Wheat Germ Agglutinin (WGA) (Thermo Scientific Fisher, Cramlington, 1:2000) at room temperature (RT) for 5 minutes. Slides were then washed, permeabilised for 30 minutes (Tris-buffered saline, 10% goat serum (Abcam) and 0.1% Saponin (Sigma)) and left to block overnight (Tris-buffered saline, 5% Goat serum and 0.01% Saponin). Cells were incubated with DR5 (1:100) antibody for 1 hour at RT, followed by washing and were then incubated with Alexa Fluor-568 anti-rabbit secondary antibody (ThermoFisher Scientific, 1:500) for 30 minutes at RT, followed by washing. LAMP-1 (Abcam, 1:50) antibody was used in conjunction with Alexa Fluor-488 anti-mouse secondary antibody (ThermoFisher Scientific, 1:500). Counterstaining and mounting were performed using VECTASHIELD® anti-fade mounting medium with DAPI (Vector Laboratories). Images were captured using a Leica SP8 confocal microscope and a 63x lens at a 2x zoom, 1024 × 1024 frame and a 400 Hz scanning speed. Within an experiment, images were taken using fixed laser settings and exposure times. Images were acquired and processed using Leica Application Suite X (Las X). DR5 colocalisation with TGN46, Calnexin and LAMP1 across separate experiments was investigated using Manders’ colocalisation coefficient (MCC), which is a measure of the co-occurrence of staining intensities in pixels above threshold and was calculated using the JACOP plugin in ImageJ. This enabled the fraction of total DR5 fluorescence colocalising with the fluorescence of the second marker (for e.g. TGN46) to be calculated. A threshold was applied manually to all images using the built-in tool in JACOP. A 90° rotation negative control, where the MCC was re-calculated when the image of the second marker was rotated 90° clockwise, was employed to confirm that co-occurrence of staining was not random23.
Real-time reverse transcription-PCR analysis
RT-PCR analysis was performed using the LightCycler® 480 probes master mix (LightCycler® 480II, Roche). ACTB and GAPDH were used as housekeeping genes. RNA was isolated using the GeneJET RNA purification kit (ThermoFisher Scientific); quantification and quality control (ratios for 260/280 nm >1.8 and for 260/230 nm >2) were performed using the NanoDrop™ One/OneC Microvolume UV-Vis Spectrophotometer (ThermoFisher Scientific). cDNA synthesis was performed using the Moloney murine leukaemia virus-based reverse transcriptase kit (Invitrogen, ThermoFisher Scientific). Catalogue numbers for real-time ready probes (Roche) are as follows: RALA- 115411, RALB- 148403, TNFRSF10B- 101236, ACTB- 101125, GAPDH- 101128 and RALGDS- 145711. PCR primers for FLIPL and FLIPS were purchased from Eurofins Genomics and were used in conjunction with LightCycler® 480 SYBR Green I Master mix (Roche). (FLIPL: Forward: 5′-CCT AGG AAT CTG CCT GAT AAT CGA, Reverse: 5′-TGG GAT ATA CCA TGC ATA CTG AGA TG; FLIPS: Forward: 5′-GCA GCA ATC CAA AAG AGT CTC A, Reverse: 5′-ATT TCC AAG AAT TTT CAG ATC AGG A).
siRNA transfections
siRNA transfections were carried out using HiPerfect (Qiagen) as previously described15.
Analysis of clinical data
The stage II/III CRC patient cohorts GSE103479 (n = 156)24, the GSE39582 (n = 481)25 and GSE14333 (n = 185)26 datasets, and their consensus molecular subtypes (CMS) and Colorectal Cancer Intrinsic Subtypes (CRIS) classification have been described24. GSE59857 is a dataset comprising transcriptomic data for 155 established CRC cell lines. The COREAD dataset comprises protein abundance data for 50 CRC cell lines27. For survival analyses, the median value for RALB expression values was identified using the probe set corresponding to RALB (ADXECAD.28315_at and 202100_at). Patient samples were then allocated to one of two categories: RALB low and RALB high. Survival curves, comparing RALB low (grey) with RALB high (black) expression groups, were estimated with the Kaplan Meier method and compared by the log-rank test, using GraphPad Prism version 8 for Windows, GraphPad Software, La Jolla, CA, USA, www.graphpad.com. To assess RALB protein expression in clinical samples, we accessed fresh frozen matched CRC primary and normal tissues, collected during 2001–2002 at the Belfast City Hospital (REC49/01). This work was approved by the School of Medicine, Dentistry and Biomedical Science ethics committee (19.12V1). Consent was obtained from all patients.
Statistical analysis
Statistical significance was calculated from distinct technical replicates, by Student’s t-test (two-tailed, two-sample equal variance on unpaired data), one-way or two-way ANOVA in GraphPad Prism 8, unless specified otherwise. One-way ANOVA tests were used where multiple groups were compared to each other, whereas two-way ANOVA tests were performed to compare two factors (for e.g. siRNA and drug) across multiple groups. Multiple comparison analyses (for 1- and 2-way ANOVA tests) were performed using GraphPad Prism 8. Graphs were plotted as means with error bars representing standard deviation from the mean. Statistical significance is denoted as follows: **** = p < 0.0001, *** = p < 0.001, ** = p < 0.01, * = p < 0.05, ns = p > 0.05. Experimental phenotypes were confirmed in at least three independent experiments, unless specified otherwise.
Results
RALB is required for the survival of KRASMT CRC cells
Previous data from our lab have shown that RALA, but not RALB, regulates migration of KRASMT CRC cells28. We determined whether these two structurally related GTPases29 have similar roles in regulating the survival of KRASMT CRC cells (Fig. 1A). Although silencing of RALA resulted in minor decreases in the viability of KRASMT and WT CRC cells, siRALB was found to affect the viability of these cells to a greater extent. This was confirmed using additional siRNA sequences against RALB (Fig. S1A). Furthermore, overexpression of WT-RALB or constitutively active G23V-RALB markedly increased the colony-forming ability of KRASMT CRC cells (Fig. 1A). Importantly, siRALB resulted in cell death only in KRASMT but not in WT cells as determined by PARP cleavage, sub-G1 levels and Caspase-3/7 activation (Fig. 1B, C and Fig. S1A–C). siRALA did not induce cell death in KRASMT CRC cells (Fig. 1B, C and Fig. S1D).
KRASMT cancers are unresponsive to MEK inhibition (MEKi)30,31. A previous study has shown a role for RALB in mediating resistance to knockdown of NRASV12 in AML32. We therefore hypothesised that RALB has a potential role in regulating resistance to MEKi in KRASMT CRC. Co-treatment of RALB siRNA with the MEKi AZD6244 resulted in significant increases in cell death, determined by PARP cleavage, increased sub-G1 levels and Caspase-3/7 activity in HCT116 cells (Fig. 1B and Fig. S1B). This was not observed in KRASWT CRC cells (Fig. 1B and Fig. S1C). We extended these studies to include a panel of KRASMT (SW620, GP5D and LoVo) cells. In contrast to the HCT116 cells, addition of AZD6244 to siRALB resulted in no significant increases in cell death compared to the effect of siRALB alone in these cells (Fig. 1C and Fig. S1D). Furthermore, co-treatment of AZD6244 with siRALA did not increase cell death in KRASMT or WT cells. No consistent changes in expression levels of pERK1/2 were observed following siRALB or siRALA. Collectively, these results indicate that RALB, but not RALA, regulates survival of KRASMT but not KRASWT CRC cells.
Clinical relevance of RALB in CRC
Analysis of RALB expression revealed higher RALB levels in tumour compared to the matched normal patient tissues (Fig. 1D). To improve CRC patient management in the context of precision medicine, a recent study has identified five CRIS subtypes, with KRAS frequently mutated in CRIS-A, CRIS-B and CRIS-E13. Interestingly, in three publicly available CRC transcriptomic patient datasets (GSE39582/GSE103479/GSE14333)24–26, we found significantly higher levels of RALB gene expression in the poor prognostic CRIS-B subtype, compared to the levels observed in any of the other CRIS subgroups (Fig. 1E and Fig. S2A). Similar findings were made in the publicly available 155 CRC cell lines transcriptomic dataset GSE59857 (Fig. S2B) and the 50 CRC cell lines protein abundance COREAD dataset (Fig. 1D, lower)27. To assess the prognostic value of RALB, we interrogated an early-stage II/III CRC dataset (GSE103479). Analysis of RALB mRNA expression (LOW versus HIGH-RALB) in this dataset showed that, although patients with high RALB expression had a decreased overall survival compared to patients with low RALB expression (HR = 1.554; 95%-CI: 0.7701–3.135), this did not reach statistical significance (p = 0.21) (Fig. S2C). Similar data were obtained using a second early-stage dataset (HR = 1.339; 95%-CI: 0.7889–2.489; p = 0.25) (Fig. S2C). Collectively, these data indicate that RALB is highly expressed in CRIS-B CRC, a poor prognostic subgroup in need of novel treatment strategies.
RALB depletion induces apoptosis in a Caspase-8-dependent manner
A previous study in KRASMT NSCLC found that RALB inhibits anchorage-independent growth in a p53-dependent manner33. In contrast to this study, no marked differences in cell death were found following siRALB in our p53-WT parental and isogenic p53 null HCT116 cells (Fig. S3A). Caspase-dependent apoptosis following siRALB was assessed using the pan-caspase inhibitor z-VAD-FMK, which completely attenuated increased sub-G1 levels, activation of PARP and Caspases-3/7 in KRASMT cells (Fig. 2A and Fig. S3B). To investigate further the relative importance of the extrinsic and intrinsic apoptotic pathways in mediating siRALB-induced apoptosis, CRC cells were co-transfected with siRALB and siCaspase-8 or siCaspase-9. Notably, co-silencing of Caspase-8 with RALB resulted in inhibition of siRALB-induced PARP and Caspase-3/7 activity in both KRASMT HCT116 and SW620 cells (Fig. 2B). These results were confirmed using the Caspase-8 null HCT116 cells (Fig. 2C). We previously reported that HCT116 cells behave in a type II manner, with the extrinsic apoptotic pathway requiring mitochondrial amplification via the intrinsic apoptotic pathway in order to commit to apoptosis34. This model can explain why siCaspase-9 also decreased siRALB-induced apoptosis in the HCT116 cells (Fig. 2B). Collectively, these data suggest that the apoptosis induced by siRALB proceeds via a Caspase-8-mediated activation of the extrinsic apoptotic pathway.
RALB depletion increases total and cell-surface DR5 levels
Given the Caspase-8-dependent manner of siRALB-induced apoptosis, the expression of FLIPL/S, an endogenous inhibitor of Caspase-8 activation, was assessed (Fig. S3C). Although FLIPL mRNA levels were found to be slightly increased in the siRALB-transfected cells, FLIPL protein levels were unaffected. To further investigate the upstream mechanisms specifically involved in siRALB-induced apoptosis, a protein array was used to assess simultaneously the expression of 35 human apoptosis-related proteins in KRASMT cells, following transfection with siRALB, siRALA or siRALGDS (Fig. 3A and Fig. S4A–F). Notably, siRALB induced both pro-apoptotic and anti-apoptotic signalling responses. Significantly (2-fold cut-off; p < 0.05) increased levels of DR5/TRAIL-R2, XIAP and the anti-apoptotic Bcl2-family member Bcl-xL were found following siRALB; these did not change in the siRALA-transfected cells. We validated these array results by western blotting (Fig. 3A). Importantly, only DR5 levels increased dramatically as early as 24 h following transfection with siRALB but not in the siRALA or siRALGDS-transfected cells. DR4 was upregulated in both RALA and RALB knockdown cells. DR5 upegulation was confirmed with three additional siRNA sequences (Fig. S5A) and in three additional KRASMT CRC cell lines (Fig. 4A). The DR5 upregulation observed in RALB-silenced cells was not an indirect result of caspase activation, as inhibition of apoptosis using the Caspase-8 null HCT116 cells failed to prevent DR5 upregulation in RALB-silenced cells (Fig. S5B). Interestingly, silencing of RALB did not increase DR5 levels in KRASWT cells (Fig. S5C). Using immunofluorescence confocal microscopy, we further showed that siRALB resulted in a significant increase in DR5 staining intensity (Fig. 3A and Fig. S5D). Furthermore, DR5 cell-surface expression analysis in siRALB-transfected cells confirmed these results (Fig. 3B and Fig. S5E). Previous studies have shown that DR5 can signal from the intracellular ER-Golgi compartment, independently of TRAIL35. We therefore assessed the impact of RALB depletion on colocalisation of the Golgi marker TGN46 and the Endoplasmic Reticulum marker Calnexin with DR5, and found no increases in colocalisation of the two markers with DR5 when RALB was silenced (Fig. S5F, G). Although no significant negative correlations were observed between RALB and DR5 protein levels within the CRIS-B group, we found that the DR5/RALB ratio was the lowest in the CRIS-B group compared to the other CRIS subgroups (Fig. S2D–F).
siRALB-induced apoptosis is DR5-dependent
To investigate whether DR4/TRAIL-R1 contributes in a similar manner to DR5 in regulating siRALB-induced apoptosis, specific siRNAs were used to decrease the expression of each receptor (Fig. 3C). Depletion of DR4 slightly reduced the Caspase-3 cleavage and Caspase-3/7 activity observed following siRALB in HCT116 cells (Fig. 3C). In contrast, co-silencing of DR4 and RALB in the SW620 cells did not decrease apoptosis compared to the levels observed with siRALB alone. Importantly, siDR5 completely abrogated siRALB-induced PARP, Caspase-3 cleavage and Caspase-3/7 activity in both KRASMT cell lines (Fig. 3C). These data were validated using WT and DR5-knockout HCT116 cell lines (Fig. 3D and Fig. S4G). Canonically, DR5-mediated activation of Caspase-8 and apoptosis is triggered following ligation of its ligand TRAIL, which is normally expressed on the cell surface of various immune cells36. Notably, co-incubation with a TRAIL neutralising antibody failed to rescue siRALB-induced apoptosis in KRASMT CRC cells (Fig. 3E). Taken together, these results would suggest a causal role for DR5, but not for DR4, in the cell death following siRALB in KRASMT CRC.
RALB reduces DR5 expression through enhancing lysosomal degradation
Previous studies have shown that DR5 may be transcriptionally upregulated by p5337 and that depletion of RAL-GTPases can stabilise p5333. We therefore analysed if the increased DR5 levels observed following siRALB was a result of transcriptional changes. Quantitative-PCR analysis showed that silencing of RALB, and not RALA, resulted in minimal increases in TNFRSF10B mRNA levels (1.19–1.46 fold) (Fig. 4A and Fig. S5H). No changes in expression levels of CHOP or the NFκB-inhibitor alpha (IKBα) protein, key transcriptional activators of DR538,39, were observed following siRALB (Fig. S5I). In addition, sip65 did not affect basal DR5 levels (Fig. S5I). Silencing of RALB resulted in minimal increased (1.26–1.36-fold) TP53 mRNA and protein levels (Fig. 4A). Although siRALB-induced DR5 upregulation was partially abrogated in the TP53 null HCT116 model (Fig. 4A), we also found strong DR5 increases following siRALB in SW620 cells expressing the clinically relevant DNA-binding-defective mutant p53-R273H (Fig. 4A and Fig. S5E). These results indicate that siRALB-induced DR5 upregulation can occur independently of p53.
Beyond a regulator of transcription factors, RALB is involved in vesicular trafficking and activation of the autophagosome/lysosome assembly, and this function may contribute to the accumulation of DR5 in RALB knockdown cells (Fig. 3A)40. Furthermore, a number of previous studies have shown autophago-lysosomal regulation of DR5 levels41. Therefore, we next determined the impact of RALB depletion on DR5 lysosomal degradation, using the lysosomal inhibitor chloroquine (CQ) (Fig. 4B). In agreement with other studies, we found that CQ resulted in increased DR5 levels42. Furthermore, siRALB markedly enhanced the upregulation of DR5 induced by CQ, while there was no further change in the autophagy marker LC3. Similar data were obtained using the lysosomal inhibitor Bafilomycin A1 (Fig. 4B)43. In addition, transient overexpression of RALB abrogated the increased DR5 expression levels following CQ treatment (Fig. 4B). Importantly, overexpression of RALB resulted in increased colocalisation of endogenous DR5 with LAMP1, as indicated by the MCC values, demonstrating that RALB regulates lysosomal localisation of DR5 (Fig. 4C and Fig. S5J). The proteasomal inhibitor MG132 did not affect siRALB-induced DR5 levels (Fig. S5K, left panel). We also compared the effect of siRALB on DR5 stability using the protein synthesis inhibitor cycloheximide. The result showed that the degradation rate of DR5 was unchanged in siRALB-transfected cells (Fig. S5K, right panel). Collectively, these data indicate that RALB can regulate DR5 protein levels by altering its trafficking to the lysosomal compartment for degradation (Fig. 4D).
RALB depletion sensitises KRASMT CRC cells to rhTRAIL
A number of studies have indicated that cell-surface TRAIL-receptor expression levels correlate with TRAIL-resistance/sensitivity44,45. As our results described above show that RALB depletion increases total and cell-surface DR5 levels, we hypothesised that RALB may be additionally involved in regulating sensitivity to TRAIL treatment in KRASMT CRC. Notably, rhTRAIL treatment markedly increased PARP, Caspase-8, -9 and -3 cleavage in RALB-silenced KRASMT cells (Fig. 5A). These results were confirmed quantitatively using Caspase-3/7 activity assays and Annexin V/propidium iodide staining (Fig. 5A, B). In addition, cell viability of RALB-depleted, rhTRAIL-treated KRASMT cells was significantly decreased compared with control siRNA-transfected cells (Fig. 5C). Similar effects were observed in a panel of KRASMT CRC cells and using two additional RALB siRNA sequences (Fig. S6A, B). Notably, RALB expression was acutely increased in 6/7 KRASMT cell lines in response to rhTRAIL treatment (Fig. 5A and Fig. S6A).
The results described above clearly indicate that RALB downregulation sensitises KRASMT CRC cells to rhTRAIL-induced apoptosis. Previous studies have shown that Dinaciclib, a broad spectrum cyclin-dependent kinase inhibitor, is an efficient suppressor of CDK5-mediated activation of RALB32. In HCT116 cells treated with Dinaciclib, RALB activity was downregulated (Fig. 5D). In agreement with the results in RALB-depleted cells, Dinaciclib potently increased rhTRAIL-induced apoptosis (Fig. 5D). Similar results were obtained in the KRASMT SW620 and GP5d cells (Fig. S6C). Collectively, these findings indicate that RALB-targeted agents may be highly effective when used in conjunction with DR5 agonists to treat KRASMT CRC.
RALB associates with the DR5-DISC in a Caspase-8-dependent manner
To further elucidate the mechanism by which RALB regulates rhTRAIL sensitivity, we examined the effect of DR5 agonists on RALB subcellular localisation. Fractionation experiments showed that the primary localisation for both RALB and DR5 is the membrane in untreated CRC cells (Fig. 6A). To investigate whether RALB associates with the plasma membrane-bound DR5 receptor, we used the agonistic antibody AMG 655 that binds the extracellular domain of DR5. Our experiments showed that RALB was recruited to the DISC as soon as 3 h following incubation with AMG 655 (Fig. 6B, top left and Fig. S6D). As published previously20, FLIPL was present at the DISC exclusively in its Caspase 8-processed p43-form and FLIPS, FADD and Caspase-8 were also recruited. The clathrin adaptor protein 2 (AP-2) interacted with DR5 at the earliest time point indicating that endocytosis of the receptor–ligand complex is initiated at the plasma membrane upon ligand binding. Interestingly, increased proteolytic cleavage of the α subunit of AP2 (AP2α) occurred in a time-dependent manner, consistent with the results of a previous study46. The unbound fraction showed decreases in pro-Caspase 8 and FADD over time, consistent with increased recruitment of DISC components to the membrane in response to AMG 655 treatment (Fig. 6B, top right). Notably, silencing of RALB markedly reduced RALB recruited to the DISC, 1 h and 3 h following incubation with AMG 655 (Fig. 6B, bottom). We further investigated TRAIL-induced RALB recruitment to the DR5-DISC by immunoprecipitating FLAG-tagged RALB from untreated and TRAIL-treated cells and then immunoblotting for the presence of Myc-tagged DR5 (Fig. 6C). In agreement with the results described above, binding of RALB to DR5 occurred in TRAIL-treated cells. Furthermore, TRAIL treatment failed to recruit RALB to the DR5-DISC in Caspase-8 null cells, suggesting that the interaction between DR5 and RALB is Caspase-8-dependent (Fig. 6D).
To investigate further if RALB plasma membrane localisation and/or its GDP/GTP-bound state was required for its recruitment to the DR5-DISC in response to AMG 655 treatment, we used FLAG-tagged WT, constitutively-active (G23V), dominant-negative (S28N) and geranylgeranylation-deficient (C203S) MT RALB expression constructs (Fig. 6E). RALB C203S does not undergo geranylgeranylation at its C-terminal domain and is localised in the cytosol fraction47. Binding of RALB to the DR5-DISC was attenuated by the C203S-MT but not the S28N-MT, when compared to WT-RALB in AMG 655-treated cells (Fig. 6E). Interestingly, a decreased association of G23V-RALB with the DR5-DISC was observed compared to WT or S28N-RALB, suggesting that constitutively active RALB has a higher turnover rate and may be removed from the plasma membrane more rapidly, compared to WT-RALB. Notably, transient overexpression of WT-RALB attenuated TRAIL-induced apoptosis in HCT116 CRC cells (Fig. 6F). AMG 655-induced apoptosis was unaffected and slightly increased following transient overexpression of G23V-RALB, S28N-RALB and C203S-RALB MT expression constructs, respectively (Fig. 6E, lower panel). Taken together, these results are the first to our knowledge to demonstrate the importance of RALB in regulating sensitivity to TRAIL treatment in KRASMT CRC.
Discussion
Identification of novel therapeutic strategies that can induce effective KRASMT-tumour-cell killing remains an unmet need1. So far, all attempts to interfere with oncogenic RAS signalling have failed in the clinic. In particular, combinations of inhibitors of the MAPK and PI3K/Akt RAS effector signalling have been shown to be ineffective in KRASMT CRC4, suggesting the involvement of additional effector pathways in mediating KRAS oncogenic signalling. In this study, we provide evidence that the RALB-GTPase is an important regulator of RASMT cancer cell survival and that inhibition of RALB ‘primes’ KRASMT cells to death upon stimulation with DR5-agonistic antibodies.
Previous studies have shown that RAL-GEF pathway activation is one of the basic requirements for RAS-mediated transformation of human epithelial cells7,8 and that RALA and RALB have both distinct and/or overlapping roles in regulating migration/invasion and anchorage-independent growth in pancreatic, bladder and prostate cancer11,48. In agreement with a previous study in a range of cancer cell models49, we found that RALB, and not RALA, has a profound effect on the survival and apoptosis of CRC cells, in particular in KRASMT CRC. Contrary to a previous study from Martin et al.50, our study showed that overexpression of RALB markedly increased the colony-forming ability of KRASMT CRC cells. Our previous studies and those of others have shown that MEK1/2 inhibition is relatively ineffective at inducing apoptosis in KRASMT CRC cells15. An important finding of our study is that neither the RALB nor the RALA RAS effector pathways are involved in regulating resistance to MEK1/2 inhibition in KRASMT CRC. Taken together, we demonstrate here for the first time a key role for RALB as a regulator of survival in KRASMT CRC.
High RALB expression has been reported in several tumours, including lung cancer, and has been identified as a poor prognostic marker in these tumours51. In this study, we found that RALB was overexpressed in CRC tissues compared to matched normal colon tissue, highlighting the potential for exploitation of RALB as a therapeutic target in CRC. Stage II/III CRC patients with high RALB expression trended towards poorer overall survival but the data were not statistically significant. Importantly, further analysis revealed that the highest levels of RALB are detected in CRIS-B CRC, the subgroup that is characterised by invasive, epithelial-to-mesenchymal transition features and strong TGF-β activity, which is associated with a worse outcome13. Previous studies have also shown a positive correlation between RALB and an invasive, aggressive and metastatic phenotype in bladder and pancreatic cancer10,52. These results would indicate that anti-RALB selective therapies may provide an effective therapeutic approach for KRASMT CRIS-B CRC with high expression levels of RALB.
Several studies have shown that downregulation of RALB results in apoptosis and increased drug sensitivity through de-phosphorylation of TBK1, resulting in decreased expression of NF-κB target pro-survival genes (e.g. Bcl-2)53,54. In contrast to these studies, our data did not show a role for TBK1 in mediating siRALB-induced apoptosis (Fig. S6E). However, the mechanism by which RALB silencing induces apoptosis was shown to involve Caspase-8-dependent apoptosis following upregulation of cell surface and total DR5 levels. This is the first demonstration of a link between RALB and DR5 expression. Moreover, using receptor-specific siRNA and a DR5 CRISPR knockout model, we further found that induction of apoptosis following siRALB was mediated by DR5, but not DR4.
It was previously shown that DR5 cell-surface levels are a critical mediator to TRAIL-induced apoptosis46,55. Consistent with this newly identified association between RALB and DR5, we have shown that inhibition of RALB through specific siRNA or the broad spectrum cyclin-dependent kinase inhibitor Dinaciclib significantly sensitised KRASMT CRC cells to TRAIL treatment. We also found that transiently overexpressing RALB decreased DR5 levels and apoptosis in response to TRAIL treatment. Of note, this is also the first study showing that stimulation of DR5 results in a rapid and Caspase-8-dependent association of RALB with the DR5-DISC, which only occurred when RALB was able to translocate to the plasma membrane. Several clinical trials using fully human DR5-agonistic antibodies, including AMG 655, have been unable to show meaningful clinical efficacy56, suggesting inherent resistance of primary tumours to DR5 activation-induced apoptosis. Our finding indicates a novel and effective way to enhance DR5 activation-induced apoptosis, in particular for KRASMT CRC.
Given its potential role in resistance to DR5-agonistic agents, we further investigated how DR5 expression levels are regulated by RALB. This is the first study showing that RALB regulates DR5 protein levels through the lysosomal degradation pathway. A number of reports have shown that DR5 levels are controlled by the lysosomal, but not the proteasomal degradation pathway42,57. Additional studies have shown that DR5 co-localises and interacts with LC3-II in autophagosomes, in particular in TRAIL-resistant cells55. These reports show that lysosomal inhibition increases cell-surface DR5 levels, as knockdown of RALB did in our study (Fig. 3A, B). Using transient overexpression of RALB, we found that DR5 co-localises with lysosomes in KRASMT CRC cells. These results would indicate that anti-RALB selective therapies may suppress DR5 lysosomal degradation, increasing cell membrane DR5 levels and thereby augmenting sensitivity to DR5-agonistic antibodies.
In conclusion, we have shown that RALB inhibition regulates DR5 dynamics and induces apoptotic priming, and that targeting this apoptotic vulnerability with selective DR5-agonistic antibodies may be a promising strategy to improve treatment response in KRASMT CRC tumours. Furthermore, the study has uncovered a novel RALB-DR5-DISC complex with RALB overexpression suppressing TRAIL-induced apoptosis. Importantly, RALB is highly expressed in the poor prognostic CRIS-B CRC subgroup. From a clinical perspective, our data provides the preclinical rationale for the initiation of a phase I study of RALB inhibition with novel multivalent TRAIL receptor 2/DR5 agonists (eg. MEDI3039)58,59 in KRASMT CRIS-B CRC with high expression levels of RALB. Our findings also support the development of new and specific anti-RALB molecules that may provide tools to investigate the biology and therapeutic potential of RALB in CRC as they become available21.
Supplementary information
Acknowledgements
We thank Professor Galit Lahav (Harvard Medical School) for the HCT116 Caspase-8 paired wild-type and null cell lines, and Amgen for supplying AMG 655. We thank Professors Henning Walczak (UCL Cancer Institute London), Gregory Gores (College of Medicine, Mayo Clinic, Rochester) and Dan Theodorescu (Denver University, Colorado) for supplying the iz-TRAIL expression plasmid, the GFP-DR5 plasmid, and the wild-type and constitutively active RALB plasmids respectively. Funding was supported by Cancer Research UK (C212/A13721) and by MErCuRIC, funded by the European Commission’s Framework Programme 7, under contract #602901. A. Campbell and O. J. Sansom were supported by Cancer Research UK (A17196 and A21139).
Conflict of interest
The authors declare that they have no conflict of interest.
Footnotes
Edited by J.-E. Ricci
Publisher’s note Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.
Supplementary information
Supplementary Information accompanies this paper at (10.1038/s41419-020-03131-3).
References
- 1.Peeters M, et al. Analysis of KRAS/NRAS mutations in a Phase III study of panitumumab with FOLFIRI compared with FOLFIRI alone as second-line treatment for metastatic colorectal cancer. Clin. Cancer Res. 2015;21:5469–5479. doi: 10.1158/1078-0432.CCR-15-0526. [DOI] [PubMed] [Google Scholar]
- 2.Maughan TS, et al. Addition of cetuximab to oxaliplatin-based first-line combination chemotherapy for treatment of advanced colorectal cancer: results of the randomised phase 3 MRC COIN trial. Lancet. 2011;377:2103–2114. doi: 10.1016/S0140-6736(11)60613-2. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 3.Hunter JC, et al. Biochemical and structural analysis of common cancer-associated KRAS mutations. Mol. Cancer Res. 2015;13:1325–1335. doi: 10.1158/1541-7786.MCR-15-0203. [DOI] [PubMed] [Google Scholar]
- 4.Tolcher AW, et al. Antitumor activity in RAS-driven tumors by blocking AKT and MEK. Clin. Cancer Res. 2015;21:739–748. doi: 10.1158/1078-0432.CCR-14-1901. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 5.Cox AD, Der CJ, Philips MR. Targeting RAS membrane association: back to the future for anti-RAS drug discovery? Clin. Cancer Res. 2015;21:1819–1827. doi: 10.1158/1078-0432.CCR-14-3214. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 6.Bodemann BO, White MA. Ral GTPases and cancer: linchpin support of the tumorigenic platform. Nat. Rev. Cancer. 2008;8:133–140. doi: 10.1038/nrc2296. [DOI] [PubMed] [Google Scholar]
- 7.Hamad NM, et al. Distinct requirements for Ras oncogenesis in human versus mouse cells. Genes Dev. 2002;16:2045–2057. doi: 10.1101/gad.993902. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 8.Rangarajan A, Hong SJ, Gifford A, Weinberg RA. Species- and cell type-specific requirements for cellular transformation. Cancer Cell. 2004;6:171–183. doi: 10.1016/j.ccr.2004.07.009. [DOI] [PubMed] [Google Scholar]
- 9.Peschard P, et al. Genetic deletion of RALA and RALB small GTPases reveals redundant functions in development and tumorigenesis. Curr. Biol. 2012;22:2063–2068. doi: 10.1016/j.cub.2012.09.013. [DOI] [PubMed] [Google Scholar]
- 10.Lim KH, et al. Divergent roles for RalA and RalB in malignant growth of human pancreatic carcinoma cells. Curr. Biol. 2006;16:2385–2394. doi: 10.1016/j.cub.2006.10.023. [DOI] [PubMed] [Google Scholar]
- 11.Oxford G, et al. RalA and RalB: antagonistic relatives in cancer cell migration. Cancer Res. 2005;65:7111–7120. doi: 10.1158/0008-5472.CAN-04-1957. [DOI] [PubMed] [Google Scholar]
- 12.Yin J, et al. Activation of the RalGEF/Ral pathway promotes prostate cancer metastasis to bone. Mol. Cell. Biol. 2007;27:7538–7550. doi: 10.1128/MCB.00955-07. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 13.Isella C, et al. Selective analysis of cancer-cell intrinsic transcriptional traits defines novel clinically relevant subtypes of colorectal cancer. Nat. Commun. 2017;8:15107. doi: 10.1038/ncomms15107. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 14.Han JH, et al. Potentiation of TRAIL killing activity by multimerization through isoleucine zipper hexamerization motif. BMB Rep. 2016;49:282–287. doi: 10.5483/BMBRep.2016.49.5.245. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 15.Van Schaeybroeck S, et al. ADAM17-dependent c-MET-STAT3 signaling mediates resistance to MEK inhibitors in KRAS mutant colorectal cancer. Cell Rep. 2014;7:1940–1955. doi: 10.1016/j.celrep.2014.05.032. [DOI] [PubMed] [Google Scholar]
- 16.Carson R, et al. HDAC inhibition overcomes acute resistance to MEK inhibition in BRAF-mutant colorectal cancer by downregulation of c-FLIPL. Clin. Cancer Res. 2015;21:3230–3240. doi: 10.1158/1078-0432.CCR-14-2701. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 17.Montagut C, et al. Identification of a mutation in the extracellular domain of the epidermal growth factor receptor conferring cetuximab resistance in colorectal cancer. Nat. Med. 2012;18:221–223. doi: 10.1038/nm.2609. [DOI] [PubMed] [Google Scholar]
- 18.Lamba S, et al. RAF suppression synergizes with MEK inhibition in KRAS mutant cancer cells. Cell Rep. 2014;8:1475–1483. doi: 10.1016/j.celrep.2014.07.033. [DOI] [PubMed] [Google Scholar]
- 19.Paek AL, Liu JC, Loewer A, Forrester WC, Lahav G. Cell-to-cell variation in p53 dynamics leads to fractional killing. Cell. 2016;165:631–642. doi: 10.1016/j.cell.2016.03.025. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 20.Majkut J, et al. Differential affinity of FLIP and procaspase 8 for FADD’s DED binding surfaces regulates DISC assembly. Nat. Commun. 2014;5:3350. doi: 10.1038/ncomms4350. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 21.Yan C, et al. Discovery and characterization of small molecules that target the GTPase Ral. Nature. 2014;515:443–447. doi: 10.1038/nature13713. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 22.Van Schaeybroeck S, et al. Chemotherapy-induced epidermal growth factor receptor activation determines response to combined gefitinib/chemotherapy treatment in non-small cell lung cancer cells. Mol. Cancer Ther. 2006;5:1154–1165. doi: 10.1158/1535-7163.MCT-05-0446. [DOI] [PubMed] [Google Scholar]
- 23.Abrisch, R. G., Gumbin, S. C., Wisniewski, B. T., Lackner, L. L. & Voeltz, G. K. Fission and fusion machineries converge at ER contact sites to regulate mitochondrial morphology. J. Cell Biol. 219, (2020). [DOI] [PMC free article] [PubMed]
- 24.Allen, W. L. et al. Transcriptional subtyping and CD8 immunohistochemistry identifies poor prognosis stage II/III colorectal cancer patients who benefit from adjuvant chemotherapy. JCO Precision Oncology. 2018, 1–15 (2018). [DOI] [PMC free article] [PubMed]
- 25.Marisa L, et al. Gene expression classification of colon cancer into molecular subtypes: characterization, validation, and prognostic value. PLoS Med. 2013;10:e1001453. doi: 10.1371/journal.pmed.1001453. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 26.Jorissen RN, et al. Metastasis-associated gene expression changes predict poor outcomes in patients with Dukes Stage B and C colorectal cancer. Clin. Cancer Res. 2009;15:7642–7651. doi: 10.1158/1078-0432.CCR-09-1431. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 27.Roumeliotis TI, et al. Genomic determinants of protein abundance variation in colorectal cancer cells. Cell Rep. 2017;20:2201–2214. doi: 10.1016/j.celrep.2017.08.010. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 28.Dunne PD, et al. EphA2 expression Is a key driver of migration and invasion and a poor prognostic marker in colorectal cancer. Clin. Cancer Res. 2016;22:230–242. doi: 10.1158/1078-0432.CCR-15-0603. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 29.Gentry LR, Martin TD, Reiner DJ, Der CJ. Ral small GTPase signaling and oncogenesis: more than just 15 min of fame. Biochim. biophys. Acta. 2014;1843:2976–2988. doi: 10.1016/j.bbamcr.2014.09.004. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 30.Samatar AA, Poulikakos PI. Targeting RAS-ERK signalling in cancer: promises and challenges. Nat. Rev. Drug Discov. 2014;13:928–942. doi: 10.1038/nrd4281. [DOI] [PubMed] [Google Scholar]
- 31.Adjei AA, et al. Phase I pharmacokinetic and pharmacodynamic study of the oral, small-molecule mitogen-activated protein kinase kinase 1/2 inhibitor AZD6244 (ARRY-142886) in patients with advanced cancers. J. Clin. Oncol. 2008;26:2139–2146. doi: 10.1200/JCO.2007.14.4956. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 32.Pomeroy EJ, et al. Ras oncogene-independent activation of RALB signaling is a targetable mechanism of escape from NRAS(V12) oncogene addiction in acute myeloid leukemia. Oncogene. 2017;36:3263–3273. doi: 10.1038/onc.2016.471. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 33.Tecleab A, Zhang X, Sebti SM. Ral GTPase down-regulation stabilizes and reactivates p53 to inhibit malignant transformation. J. Biol. Chem. 2014;289:31296–31309. doi: 10.1074/jbc.M114.565796. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 34.Wilson TR, et al. Combined inhibition of FLIP and XIAP induces Bax-independent apoptosis in type II colorectal cancer cells. Oncogene. 2009;28:63–72. doi: 10.1038/onc.2008.366. [DOI] [PubMed] [Google Scholar]
- 35.Lam, M., Marsters, S. A., Ashkenazi, A. & Walter, P. Misfolded proteins bind and activate death receptor 5 to trigger apoptosis during unresolved endoplasmic reticulum stress. eLife9, (2020). [DOI] [PMC free article] [PubMed]
- 36.Falschlehner C, Ganten TM, Koschny R, Schaefer U, Walczak H. TRAIL and other TRAIL receptor agonists as novel cancer therapeutics. Adv. Exp. Med. Biol. 2009;647:195–206. doi: 10.1007/978-0-387-89520-8_14. [DOI] [PubMed] [Google Scholar]
- 37.Takimoto R, El-Deiry WS. Wild-type p53 transactivates the KILLER/DR5 gene through an intronic sequence-specific DNA-binding site. Oncogene. 2000;19:1735–1743. doi: 10.1038/sj.onc.1203489. [DOI] [PubMed] [Google Scholar]
- 38.Son YG, et al. Silibinin sensitizes human glioma cells to TRAIL-mediated apoptosis via DR5 up-regulation and down-regulation of c-FLIP and survivin. Cancer Res. 2007;67:8274–8284. doi: 10.1158/0008-5472.CAN-07-0407. [DOI] [PubMed] [Google Scholar]
- 39.Shetty S, et al. Transcription factor NF-kappaB differentially regulates death receptor 5 expression involving histone deacetylase 1. Mol. Cell. Biol. 2005;25:5404–5416. doi: 10.1128/MCB.25.13.5404-5416.2005. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 40.Bodemann BO, et al. RalB and the exocyst mediate the cellular starvation response by direct activation of autophagosome assembly. Cell. 2011;144:253–267. doi: 10.1016/j.cell.2010.12.018. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 41.Akazawa Y, et al. Death receptor 5 internalization is required for lysosomal permeabilization by TRAIL in malignant liver cell lines. Gastroenterology. 2009;136:2365–2376. e2361–2367. doi: 10.1053/j.gastro.2009.02.071. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 42.Park EJ, et al. Chloroquine enhances TRAIL-mediated apoptosis through up-regulation of DR5 by stabilization of mRNA and protein in cancer cells. Sci. Rep. 2016;6:22921. doi: 10.1038/srep22921. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 43.Mauvezin C, Neufeld TP. Bafilomycin A1 disrupts autophagic flux by inhibiting both V-ATPase-dependent acidification and Ca-P60A/SERCA-dependent autophagosome-lysosome fusion. Autophagy. 2015;11:1437–1438. doi: 10.1080/15548627.2015.1066957. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 44.Zhang Y, Zhang B. TRAIL resistance of breast cancer cells is associated with constitutive endocytosis of death receptors 4 and 5. Mol. cancer Res. 2008;6:1861–1871. doi: 10.1158/1541-7786.MCR-08-0313. [DOI] [PubMed] [Google Scholar]
- 45.Zhou L, Wang W, Dicker DT, Humphreys RC, El-Deiry WS. Prediction of proapoptotic anticancer therapeutic response in vivo based on cell death visualization and TRAIL death ligand-receptor interaction. Cancer Biol. Ther. 2011;12:335–348. doi: 10.4161/cbt.12.4.17174. [DOI] [PubMed] [Google Scholar]
- 46.Austin CD, et al. Death-receptor activation halts clathrin-dependent endocytosis. Proc. Natl. Acad. Sci. USA. 2006;103:10283–10288. doi: 10.1073/pnas.0604044103. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 47.Matsubara K, Hinoi T, Koyama S, Kikuchi A. The post-translational modifications of Ral and Rac1 are important for the action of Ral-binding protein 1, a putative effector protein of Ral. FEBS Lett. 1997;410:169–174. doi: 10.1016/S0014-5793(97)00633-9. [DOI] [PubMed] [Google Scholar]
- 48.Lim KH, et al. Activation of RalA is critical for Ras-induced tumorigenesis of human cells. Cancer Cell. 2005;7:533–545. doi: 10.1016/j.ccr.2005.04.030. [DOI] [PubMed] [Google Scholar]
- 49.Chien Y, et al. RalB GTPase-mediated activation of the IkappaB family kinase TBK1 couples innate immune signaling to tumor cell survival. Cell. 2006;127:157–170. doi: 10.1016/j.cell.2006.08.034. [DOI] [PubMed] [Google Scholar]
- 50.Martin TD, Samuel JC, Routh ED, Der CJ, Yeh JJ. Activation and involvement of Ral GTPases in colorectal cancer. Cancer Res. 2011;71:206–215. doi: 10.1158/0008-5472.CAN-10-1517. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 51.Guin S, et al. Contributions of KRAS and RAL in non-small-cell lung cancer growth and progression. J. Thorac. Oncol. 2013;8:1492–1501. doi: 10.1097/JTO.0000000000000007. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 52.Smith SC, Baras AS, Owens CR, Dancik G, Theodorescu D. Transcriptional signatures of Ral GTPase are associated with aggressive clinicopathologic characteristics in human cancer. Cancer Res. 2012;72:3480–3491. doi: 10.1158/0008-5472.CAN-11-3966. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 53.Eckfeldt CE, et al. RALB provides critical survival signals downstream of Ras in acute myeloid leukemia. Oncotarget. 2016;7:65147–65156. doi: 10.18632/oncotarget.11431. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 54.Seguin L, et al. An integrin beta(3)-KRAS-RalB complex drives tumour stemness and resistance to EGFR inhibition. Nat. Cell Biol. 2014;16:457–468. doi: 10.1038/ncb2953. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 55.Di X, et al. Accumulation of autophagosomes in breast cancer cells induces TRAIL resistance through downregulation of surface expression of death receptors 4 and 5. Oncotarget. 2013;4:1349–1364. doi: 10.18632/oncotarget.1174. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 56.Kindler HL, et al. A randomized, placebo-controlled phase 2 study of ganitumab (AMG 479) or conatumumab (AMG 655) in combination with gemcitabine in patients with metastatic pancreatic cancer. Ann. Oncol. 2012;23:2834–2842. doi: 10.1093/annonc/mds142. [DOI] [PubMed] [Google Scholar]
- 57.Shin GC, Kang HS, Lee AR, Kim KH. Hepatitis B virus-triggered autophagy targets TNFRSF10B/death receptor 5 for degradation to limit TNFSF10/TRAIL response. Autophagy. 2016;12:2451–2466. doi: 10.1080/15548627.2016.1239002. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 58.Swers JS, et al. Multivalent scaffold proteins as superagonists of TRAIL receptor 2-induced apoptosis. Mol. Cancer Ther. 2013;12:1235–1244. doi: 10.1158/1535-7163.MCT-12-1107. [DOI] [PubMed] [Google Scholar]
- 59.Greer YE, et al. MEDI3039, a novel highly potent tumor necrosis factor (TNF)-related apoptosis-inducing ligand (TRAIL) receptor 2 agonist, causes regression of orthotopic tumors and inhibits outgrowth of metastatic triple-negative breast cancer. Breast Cancer Res. 2019;21:27. doi: 10.1186/s13058-019-1116-1. [DOI] [PMC free article] [PubMed] [Google Scholar]
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