Abstract
Development of innovative therapeutic modalities would address an unmet clinical need in the treatment of triple negative breast cancer (TNBC). Activation of retinoic acid‐inducible gene‐I (RIG‐I)‐like receptors (RLRs) such as melanoma differentiation‐associated gene 5 (MDA5) and RIG‐I in cancer cells is suggested to suppress tumor progression by inducing cell death. Transfection of polyI:C, a conventionally used synthetic double‐stranded RNA (dsRNA) analogue that activates RLRs, has been evaluated in clinical trials. However, detailed mechanisms of tumor suppression by RLRs, especially interactions with other signaling pathways, remain elusive. Here, we showed that transfection of polyI:C suppressed transforming growth factor‐β (TGF‐β) signaling in a MDA5‐ and RIG‐I‐dependent manner. We found that suppression of TGF‐β signaling by polyI:C promoted cancer cell death, which was attenuated by forced expression of constitutively active Smad3. More detailed analysis suggested that cell death by polyI:C transfection exhibited characteristics of pyroptosis, which is distinct from apoptosis. Therapeutic efficacy of polyI:C transfection was also demonstrated using a mouse model. These results indicated that intratumor administration of polyI:C and related dsRNA analogues may be promising treatments for TNBC through inhibition of the anti‐pyroptotic function of TGF‐β.
Keywords: polyI:C, pyroptosis, RLR, TGF‐β, TNBC
The present study provides a new perspective of the treatment of triple negative breast cancer (TNBC) through the intracellular administration of polyI:C, a ligand for retinoic acid‐inducible gene‐I‐like receptors. PolyI:C induced the pyroptosis of TNBC cells, which was enhanced by its inhibitory role on the transforming growth factor‐β (TGF‐β)‐regulated anti‐pyroptotic functions.
Abbreviations
- CCLE
Cancer Cell Line Encyclopedia
- cGAS
cyclic GMP‐AMP synthase
- dsRNA
double‐stranded RNA
- EMT
epithelial–mesenchymal transition
- gRNAs
guide RNAs
- GSDMD
gasdermin D
- GSDME
gasdermin E
- GSEA
gene set enrichment analysis
- IFN
interferon
- IRF3
interferon regulatory factor 3
- LDH
lactate dehydrogenase
- LPS
lipopolysaccharide
- MDA5
melanoma differentiation‐associated gene 5
- PARP
poly (ADP‐ribose) polymerase
- PD‐L1
programmed death‐ligand 1
- PI
propidium iodide
- PRRs
pattern recognition receptors
- RIG‐I
retinoic acid‐inducible gene‐I
- RLRs
RIG‐I‐like receptors
- STING
stimulator of interferon genes
- TBK1
TANK‐binding kinase 1
- TGF‐β
transforming growth factor‐β
- TNBC
triple negative breast cancer
1. Introduction
Triple negative breast cancer (TNBC) is one of the most aggressive types of cancer and constitutes ~ 16% of invasive breast cancer cases [1, 2]. Although conventional cytotoxic chemotherapy was the only option for treating TNBC for many years, molecular target therapies such as poly (ADP‐ribose) polymerase (PARP) inhibitors for patients with BRCA mutations and antibodies against programmed death‐ligand 1 (PD‐L1) or PD‐1 for PD‐L1‐positive patients have been approved for use in recent years [3]. Because PD‐L1 expression tends to be higher in patients with TNBC than those in other subtypes of breast cancer, immune checkpoint inhibitors are expected to have higher potential for treatment of TNBC patients [4, 5].
Activating innate immune signaling in cancer cells, such as by intratumoral injection of ligands, is currently proposed to be an interesting strategy to combat cancer cells and is expected to be applied concomitantly with immune checkpoint inhibitors [6, 7]. The group of receptors involved in activating innate immune signaling are called pattern recognition receptors (PRRs), which include Toll‐like receptors (TLRs) and nucleotide‐binding oligomerization domain (NOD)‐like receptors (NLRs). PRRs recognize pathogenic components to protect hosts from pathogens or molecules released from damaged cells to notify surrounding cells of danger. Among PRRs, activation of retinoic acid‐inducible gene‐I (RIG‐I)‐like receptors (RLRs), which include melanoma differentiation‐associated gene 5 (MDA5) and RIG‐I in cancer cells, is suggested as beneficial strategy in the treatment of TNBC due to the fact that the RIG‐I gene is rarely mutated or deleted [8]. RLRs can recognize cytosolic double‐stranded RNA (dsRNA) to trigger the formation of a complex with mitochondrial antiviral signaling protein (MAVS). The complex then induces interferon (IFN) by phosphorylation of interferon regulatory factor 3 (IRF3) and informs the surrounding cells of a virus infection [9, 10]. RLR agonists are also expected to be applicable to cancer treatment by inducing tumor cell death and increasing the immunogenicity of tumors by upregulating IFNs or proinflammatory cytokines [7, 11]. This is supported by findings that some RIG‐I and MDA5 agonists show promising effects in mouse tumor models when administered by intratumoral transfection [12]. Intratumoral transfection of these agonists is also being evaluated in clinical trials of aggressive solid tumors, including TNBC.
Transforming growth factor‐β (TGF‐β) signaling is one of the most important pathways in cancers. Upon TGF‐β binding, a heterotetrameric complex of type I and type II TGF‐β receptors (TβRI and TβRII) is formed to induce the phosphorylation of downstream components Smad2 and Smad3. Activated Smad2 and Smad3 then form a complex with Smad4, translocate to the nucleus, and trigger dramatic genome‐wide changes in transcription [13]. It is important to note that TGF‐β is believed to have both tumor‐suppressive and tumor‐promoting functions [14, 15, 16]. Antiproliferative effects and the promotion of cell death are tumor‐suppressive facets of TGF‐β, and cancers often evade TGF‐β signaling by mutating TGF‐β receptors or Smads [16]. On the other hand, with respect to the tumor‐promoting aspect of TGF‐β, cancers may acquire significant benefits from this signaling pathway. There are a number of reports that focus on the protumorigenic function of TGF‐β using mammary carcinoma cells to investigate the cooperation of mutant RAS proto‐oncogenes with TGF‐β in the induction of epithelial–mesenchymal transition (EMT) or enhanced cellular invasion, the stabilization of mammalian target of rapamycin signaling to retain the stemness of cells by prolonged TGF‐β exposure, and the collaboration with jun B proto‐oncogene (JUNB) to enhance cell invasion [17, 18, 19, 20]. Likewise, the promotion of migration, invasion, bone metastasis, and cell survival are characteristics of TGF‐β in TNBC [21, 22]. It is also reported that TGF‐β reduces the expression of major histocompatibility class I and suppresses CD8+ T‐cell‐mediated killing of other types of cancers [23]. Taken together, there appears to be more potent characteristics of protumorigenic function of TGF‐β signaling in TNBC, and suppression of TGF‐β signaling is a well‐founded strategy to combat TNBC.
Regarding the interaction between RLR signaling and TGF‐β signaling, a previous report revealed that IRF3 activated by dsRNA ligand physically interacts with Smad3 to inhibit its binding to TβRI, which leads to the attenuation of Smad3 phosphorylation [24]. However, the effect of attenuating TGF‐β signaling by RLR ligands on cancer cells is not well characterized, especially in context of the protumorigenic function of TGF‐β signaling. Furthermore, the previous report did not evaluate dsRNA as a therapeutic ligand for cancer [24].
In the present study, we chose the synthetic dsRNA analogue polyI:C as an RLR agonist, which is commonly and classically used experimentally and has been evaluated in clinical trials of aggressive solid tumors [12]. We found that polyI:C suppressed TGF‐β signaling in TNBC cells in an MDA5‐ and RIG‐I‐dependent manner, which led to attenuation of the prosurvival function of TGF‐β signaling. We also explored the characteristics of cell death induced by polyI:C in TNBC cells and revealed a novel role for TGF‐β as an anti‐pyroptotic factor. These findings provide support for the efficacy of polyI:C as a promising drug for the treatment of TNBC partly mediated by the inhibition of TGF‐β signaling.
2. Materials and methods
2.1. Cell culture
Hs578T (HTB‐126) and BT‐549 (HTB‐122) cells were purchased from American Type Culture Collection (ATCC, Manassas, VA, USA) and cultured in Dulbecco's modified Eagle's medium (DMEM; #11965; Gibco, Thermo Fisher Scientific, Waltham, MA, USA) (Hs578T) or RPMI 1640 medium (#11875; Gibco, Thermo Fisher Scientific) (BT‐549) supplemented with 10% FBS (#SH30910.03; Thermo Fisher Scientific or #10270‐106; Gibco, Thermo Fisher Scientific), 50 U·mL−1 penicillin, 50 μg·mL−1 streptomycin (penicillin–streptomycin; #15070‐063; Gibco, Thermo Fisher Scientific), and 0.01 mg·mL−1 (Hs578T) or 0.00095 mg·mL−1 (BT‐549) of insulin (#12585‐014; Gibco, Thermo Fisher Scientific). The 4T1 cells were also obtained from ATCC and the THP‐1 cells were from JCRB Cell Bank (Osaka, Japan). Both the 4T1 and THP‐1 cells were cultured in RPMI 1640 media supplemented with 10% FBS, 50 U·mL−1 penicillin, and 50 μg·mL−1 streptomycin. Lenti‐X 293T cells were obtained from Clontech Laboratories (Takara Bio, Shiga, Japan) and cultured in DMEM supplemented with 10% FBS, 50 U·mL−1 penicillin, 50 μg·mL−1 streptomycin, 2 mm‐Glutamine (#25030‐081; Gibco, Thermo Fisher Scientific), 1 × MEM‐NEAA (#11140‐050; Gibco, Thermo Fisher Scientific), and 1 mm sodium pyruvate (#11360‐070; Gibco, Thermo Fisher Scientific). Cells were maintained in a 5% CO2 atmosphere at 37 °C.
2.2. Reagents
Recombinant human TGF‐β (TGF‐β3; #243‐B3‐010) was obtained from R&D Systems (Minneapolis, MN, USA). Nigericin (#tlrl‐nig) was purchased from InvivoGen (San Diego, CA, USA), and lipopolysaccharide (LPS) (#L4391) was from Sigma‐Aldrich (Merck, Darmstadt, Germany). Z‐VAD‐FMK (#G7232) was from Promega (Madison, WI, USA), and Z‐DEVD‐FMK (#FMK004) was from R&D Systems. SB202190 (#ab120638) was from Abcam (Cambridge, UK), and SB203580 (#tlrl‐sb20) was from InvivoGen. LY364947 was from Calbiochem (#616451; Merck).
2.3. PolyI:C transfection and RNA interference
PolyI:C (#tlrl‐pic) was purchased from InvivoGen. PolyI:C transfection was performed using Lipofectamine 2000 Transfection Reagent (#11668‐019; Invitrogen, Thermo Fisher Scientific) as recommended by the manufacturer’s protocol. Transfection of small interfering RNAs (siRNAs) was performed using Lipofectamine RNAiMAX Transfection Reagent (#13778‐150, Invitrogen, Thermo Fisher Scientific) according to the manufacturer’s protocol. We used the following Stealth RNAi siRNAs from Thermo Fisher Scientific: siGSDMD, GGGACAACGUGUACGUGGUGACUGA and UCAGUCACCACGUACACGUUGUCCC; siGSDME, CCAGGCGGUCCUAUUUGAUGAUGAA and UUCAUCAUCAAAUAGGACCGCCUGG. For the transfection of control siRNA, Stealth RNAi siRNA Negative Control Hi GC Duplex #2 (#12935114, Invitrogen, Thermo Fisher Scientific) was used. The final concentration of siRNA in the culture medium was 50 nm. Cells were lysed 60 h post‐transfection of siRNAs.
2.4. RNA extraction and quantitative reverse transcription–polymerase chain reaction (qRT‐PCR)
Total RNA was extracted using an RNeasy Mini Kit (#74106; QIAGEN, Hilden, Germany) in accordance with the manufacturer's protocol. First‐strand cDNAs were synthesized using a PrimeScript II 1st strand cDNA Synthesis Kit (#6210A; Takara Bio). The qRT‐PCR was performed using FastStart Universal SYBR Green Master (Rox) (#04913914001; Roche Diagnostics, Basel, Switzerland) with a StepOnePlus Real‐Time PCR System (#4376357; Thermo Fisher Scientific). PCR data were normalized to the expression of TBP. Primer sequences are provided in Table S1.
2.5. RNA sequence (RNA‐seq) analysis
To prepare libraries from the cells for RNA‐seq, an RNeasy Mini Kit with RNase‐Free DNase Set (QIAGEN), Dynabeads mRNA DIRECT Micro Purification Kit, and Ion Total RNA‐Seq Kit v2 (Thermo Fisher Scientific) were used according to the manufacturers' protocols. cDNA libraries were quantified using an Ion Library TaqMan Quantitation Kit (Thermo Fisher Scientific). Sequencing was performed with an Ion Proton System (Thermo Fisher Scientific) using an Ion PI Hi‐Q Chef Kit (Thermo Fisher Scientific) and Ion PI Chip Kit v3 (A26770, Thermo Fisher Scientific). Reads were aligned to the human genome (Genome Reference Consortium Human Build 37 (GRCh37)/hg19) as a reference genome using TopHat2 open‐source bioinformatics tool. Fragments per kilobase of exon per million sequence reads (FPKM) values were calculated using the Cuffdiff function of Cufflinks. Raw sequence data have been deposited in the Gene Expression Omnibus (GEO) database (accession number GSE152414).
2.6. Gene set enrichment analysis (GSEA)
Mean FPKM values were calculated from duplicate biological samples for each condition. Genes used for GSEA were extracted using the threshold value of ≥ 10 FPKM for any of the conditions. Analysis was performed using default parameters. The chip platform ‘Human_NCBI_Entrez_Gene_ID_MSigDB.v7.1.chip’ was used as gene symbol data. Gene ontology gene sets ‘M_UP’ and ‘IM_DOWN’ were obtained from Lehmann et al. [25].
2.7. Gene Ontology analysis
The reads per kilobase of exon per million sequence reads (RPKM) value of each gene in the cancer cell lines was obtained from Broad Institute Cancer Cell Line Encyclopedia (CCLE, ‘CCLE_DepMap_18q3_RNAseq_RPKM_20180718.gct’). Gene ontology of each gene list was analyzed using the analysis tool ‘Enrichr’ (https://amp.pharm.mssm.edu/Enrichr/) [26, 27].
2.8. Immunoblotting
After washing with PBS, cells were lysed with RIPA buffer (50 mm Tris/HCl, pH 8.0; 150 mm NaCl; 1% Triton X‐100; 0.1% SDS; and 0.5% sodium deoxycholate) containing cOmplete EDTA‐free Protease Inhibitor Cocktail Tablets (#05056489001; Roche Diagnostics) and Phosphatase Inhibitor Cocktail (EDTA‐free; #07575‐51; Nacalai Tesque, Kyoto, Japan). To detect gasdermin D (GSDMD) and gasdermin E (GSDME), lysed samples were sonicated twice at power high for 30 s each time at intervals of 30 s using a Bioruptor UCD‐200™ sonicator (Cosmo Bio, Tokyo, Japan). Cell debris was removed by centrifugation (20 400 g, 10 min, 4 °C). Protein amounts in all samples were measured and normalized using Pierce bicinchoninic acid Protein Assay Reagent A/B (#23223, #23224; Thermo Fisher Scientific). SDS/PAGE was performed to electrophoretically separate the proteins based on size, and the samples were then transferred to Fluoro Trans W membranes (#BSP0161; Pall Corporation, Port Washington, NY, USA). The membranes were blocked by 5% skim milk in Tris‐buffered saline with Tween‐20 (TBS‐T). After washing with TBS‐T, the membranes were incubated with antibodies diluted in Can Get Signal Solution 1 (#NKB‐201; TOYOBO, Osaka, Japan). Blots were visualized using a LAS‐4000 image analysis system (Fujifilm, Tokyo, Japan).
The following antibodies were used: anti‐GSDME (#ab215191), anti‐Smad3 (#ab40854), anti‐phospho‐Smad3 Ser423/Ser425 (#ab52903), and anti‐phospho‐IRF3 Ser386 (#ab76493) antibodies purchased from Abcam; anti‐GSDMD (#93709), anti‐phospho‐IRF3 Ser396 (#4947), anti‐MDA5 (#5321), anti‐RIG‐I (#3743), anti‐Noxa (#14766), anti‐phospho‐p38 MAPK Thr180/Tyr182 (#9211), anti‐p38α MAPK (#9228), and anti‐HSP27 (#2402) antibodies from Cell Signaling Technology (Danvers, MA, USA); anti‐GAPDH (#G8795) and anti‐phospho‐HSP27 Ser78 (#05‐645) antibodies from Sigma‐Aldrich (Merck); and anti‐IRF3 antibody (Cat #655704) from BioLegend (San Diego, CA, USA).
2.9. Annexin V and PI staining
After collecting all cells, including both the floating cells and attached cells, the dying or dead cells were detected using an eBioscience Annexin V Apoptosis Detection Kit APC (#88‐8007‐72; Thermo Fisher Scientific) according to the manufacturer's protocol. Flow cytometry was performed using a Gallios Flow Cytometer (Beckman Coulter, Brea, CA, USA), and the data were analyzed using flowjo software (BD, Franklin Lakes, NJ, USA).
2.10. Microscopy
To evaluate the cell state after polyI:C transfection and capture images, an IX70 microscope with DP72 microscope digital camera (Olympus, Tokyo, Japan) or a BZ‐X710 microscope (Keyence, Osaka, Japan) was used.
2.11. Lactate dehydrogenase (LDH) release assay
To determine LDH values (%) after 60 and 72 h of transfection, Hs578T cells were seeded into 96‐well plates at a density of 2 × 104 cells/well. To determine LDH values (%) after 36 and 48 h of transfection or of mock transfections, Hs578T cells were seeded into 96‐well plates at a density of 1 × 104 cells/well to prevent the cells from being confluent. The % LDH values were calculated using a CytoTox 96 Non‐Radioactive Cytotoxicity Assay (#G1780; Promega) according to the manufacturer's protocol. After 10 min of reaction time, stop solution was added and absorbance at 490 nm was measured using a Model 680 Microplate Reader (Bio‐Rad, Hercules, CA, USA).
2.12. Measurement of caspase 3/7 activity
Hs578T cells expressing HA or constitutively active Smad3 (caSmad3) were seeded into 96‐well plates at a density of 1 × 104 cells/well. A Caspase‐Glo 3/7 Assay System (#G8090; Promega) was used to measure the activity of caspase 3/7 according to the manufacturer's protocol by using one plate. After 1 h of substrate incubation, luminescent signals were measured using a Mithras LB 940FP Microplate Reader (Berthold Technologies, Bad Wildbad, Germany). Another plate was used to count viable cells using trypan blue staining.
2.13. Chromatin immunoprecipitation (ChIP) sequence data of Smad2
Anti‐Smad2 ChIP sequence data from Hs578T cells stimulated with activin A were obtained in our previous study (GEO, accession number GSM3301952) [28]. Smad2 binding at the target gene locus was shown using the UCSC Genome Browser on Human Dec. 2013 (GRCh38/hg38) Assembly.
2.14. Lentivirus production and infection
A plasmid lentiCRISPR v2 was a gift from Feng Zhang (#52961; Addgene, Watertown, MA, USA; http://n2t.net/addgene:52961). For constructing lentiviral vectors containing Cas9 and guide RNAs (gRNAs), gene‐specific gRNA was designed using CHOPCHOP (https://chopchop.cbu.uib.no/) and inserted into lentiCRISPR v2. The gRNA sequences for each gene or control gRNA [29] are described in Table S2. caSmad3 cDNA and CSII‐CAG‐MCS‐IRES‐puro lentiviral vector were described previously [28]. Briefly, caSmad3 or HA control tag was subcloned into the multiple cloning site (MCS) of CSII‐CAG‐MCS‐IRES‐puro lentiviral vector, which is originated from CSII‐EF‐RfA to express the inserted cDNA driven by CAG promoter. CSII‐EF‐RfA was obtained from late H. Miyoshi (formerly Keio University, Tokyo, Japan). For caSmad3 cDNA, the C‐terminal phosphorylation site of Smad3 (SSVS) was changed to DDVD [30]. For production of lentivirus, the above plasmids were cotransfected with pCMV‐VSV‐G‐RSV‐Rev and pCAG‐HIVgp (from late H. Miyoshi) into Lenti‐X‐293T cells. Culture media containing lentivirus were filtered through a 0.45‐μm filter and concentrated using a Lenti‐X Concentrator (#631232; Takara Bio). Infected cells were treated with puromycin (ant‐pr; InvivoGen) for 4 days (Hs578T cells, 10 μg·mL−1; 4T1 cells, 10 μg·mL−1) or 5 days (BT‐549 cells, 10 μg·mL−1). Hs578T cells stably expressing caSmad3 were used for analysis within 1 month of culture.
2.15. In vivo polyI:C treatment
In vivo experiments were performed according to the policies of the Animal Ethics Committee of the University of Tokyo (approval number: Med.‐P16‐140). Mice were obtained from Japan SLC Inc. (Shizuoka, Japan). A total of 5 × 105 4T1 cells were inoculated into the mammary fat pad of 8‐ to 10‐week‐old BALB/c female mice that were anesthetized with isoflurane (#099‐06571; FUJIFILM Wako Pure Chemical Corporation, Osaka, Japan). Tumor sizes were measured using a caliper, and tumor volumes (V) were calculated using the formula: V = (length) × (width)2/2.
Intratumoral polyI:C delivery was performed using in vivo jetPEI transfection reagent with glucose solution (#201; Polyplus‐transfection, Illkirch, France) in accordance with the manufacturer's protocol with an ionic balance of N/P = 6. A total volume of 100 μL reagent containing polyI:C (20 μg/mouse) or an equivalent amount of distilled water was intratumorally injected into the tumors of mice that were anesthetized with isoflurane. Tumor weight was measured at day 21 or at the day of endpoint [weight loss (> 20% or > 10%/week), mean diameter > 1.2 cm, or general appearance]. Tumor samples were snap‐frozen and stored at −80 °C until use.
2.16. Immunohistochemistry
Tumor samples were sectioned with 7 μm thickness and fixed in 4% paraformaldehyde for 10 min. The tumor sections were washed and then blocked with Blocking One reagent (#03953‐95; Nacalai Tesque). The blocked specimens were incubated with primary antibodies in Blocking One reagent at 4 °C overnight. After washing the plates, the samples were incubated with secondary antibody in Blocking One reagent at 37 °C for 30 min. Washed plates were mounted with 4′,6‐diamidino‐2‐phenylindole (DAPI) Fluoromount‐G (#0100‐20; SouthernBiotech, Birmingham, AL, USA) and analyzed using a BZ‐X710 microscope (Keyence). Nonspecific signals with strong intensity were removed. The following antibodies were used: SMAD3 phospho‐S423/phospho‐S425 antibody (#600‐401‐919; Rockland Immunochemicals, Limerick, PA, USA), rabbit IgG‐UNLB (isotype control, #0111‐01; SouthernBiotech), and goat anti‐rabbit IgG (H + L) cross‐adsorbed secondary antibody, Alexa Fluor 488 (#A‐11008; Invitrogen, Thermo Fisher Scientific).
2.17. Statistical analysis
Student's t‐test was used for comparison between two samples, and the Tukey–Kramer test was used for comparison of multiple samples.
3. Results
3.1. TGF‐β signaling was suppressed by transfection of polyI:C
To evaluate whether the activation of RLR signaling induced by the transfection of polyI:C regulates TGF‐β signaling, we first confirmed the activation of RLR signaling in TNBC cells. We chose the widely used TNBC cell line Hs578T in which the TGF‐β signaling pathway is retained and the phosphorylation of Smad3 by TGF‐β is reported to occur [31]. Strong C‐terminal phosphorylation of IRF3 at Ser386, which is critical for its activation [32], was observed following the transfection of 1 μg·mL−1 of polyI:C in Hs578T cells (Fig. 1A). As previously reported, the amount of total IRF3 was downregulated by activation of PRR signaling [33, 34]. We then evaluated the effect of polyI:C on TGF‐β signaling and found that polyI:C suppressed the phosphorylation of Smad3 with strong induction of MDA5 and RIG‐I, which is a known positive feedback mechanism (Fig. 1B). We also found that increased expression of the known target genes of TGF‐β, ZEB1, LRRC15 [35], and PMEPA1 was suppressed by polyI:C (Fig. 1C). Of note, expression of SERPINE1, which is also a well‐known target of both TGF‐β and inflammatory response, was markedly increased by polyI:C even in the absence of TGF‐β stimulation, and SMAD7 is not significantly induced by TGF‐β in this experimental setting (Fig. S1A). The above data suggested that polyI:C attenuated TGF‐β signaling and the expression of its target genes by suppressing the phosphorylation of Smad3.
We next examined whether the attenuation of TGF‐β signaling by polyI:C was dependent on RLRs. Gene inactivation of both MDA5 and RIG‐I using lentiviral expression of Cas9 and gRNAs targeting MDA5 and RIG‐I suppressed the polyI:C‐induced attenuation of Smad3 phosphorylation, while polyI:C‐induced phosphorylation of IRF3 was strongly reduced by both MDA5 and RIG‐I gRNAs (Fig. 1D). In addition, suppression of TGF‐β‐induced target gene expression by polyI:C was partly attenuated by MDA5 and RIG‐I gRNAs (Fig. 1E). The gene inactivation efficiency of MDA5 and RIG‐I was also confirmed by the downregulation of IFNB1 expression by MDA5 and RIG‐I gRNAs, which is a common target of activated IRF3. We observed better inactivation efficiency using pair #1 gRNAs compared with that using pair #2 gRNAs (Figs 1D and S1B). These results suggested that polyI:C suppressed TGF‐β signaling in an MDA5‐ and RIG‐I‐dependent manner.
We also evaluated the potential for inhibition of TGF‐β signaling by cell‐intrinsic activation of RLR signaling. Gene ontology analysis of genes extracted from the CCLE database that negatively correlated with MDA5 expression in TNBC cell lines showed that the only enriched ontology was TGF‐β signaling from the dataset ‘Panther_2016’, while the most positively correlated gene set was ‘Toll receptor signaling pathway’ as expected (Fig. S2A). Using another ontology dataset, ‘WikiPathways_2019_Human’, we confirmed that the ontology of TGF‐β signaling was significantly enriched in genes inversely correlated with MDA5 expression in TNBC, while ontologies of positively correlated gene sets were associated with interferon signaling (Fig. S2B). We also performed RNA‐seq analysis of Hs578T cells with or without TGF‐β stimulation to determine the global target of TGF‐β signaling in these TNBC cells (Table S3). Using the RNA‐seq data, GSEA was performed for the genes that inversely correlated with MDA5. We found that many of the genes inversely correlated with MDA5 expression were targets of TGF‐β signaling (Fig. S2C). We also studied the molecular subtype of TNBC [25]. Many upregulated genes in the mesenchymal subtype of TNBC, in which activation of TGF‐β signaling has been reported, were also upregulated by TGF‐β stimulation (Fig. S2D). On the other hand, many downregulated genes in the immunomodulatory subtype that are characterized by the activation of immune cell signaling were also increased by TGF‐β stimulation of Hs578T cells (Fig. S2E). These results suggested the possibility that endogenous activation of RLR signaling can also suppress TGF‐β signaling.
3.2. Attenuation of TGF‐β signaling by polyI:C promoted cell death
Because the induction of cell death is one of the marked phenotypes of polyI:C transfection [7, 11], we examined whether the attenuation of TGF‐β signaling by polyI:C would accelerate cell death in Hs578T cells. To investigate the biological effect of polyI:C‐induced suppression of TGF‐β signaling, we established Hs578T cells stably expressing caSmad3 in which the C‐terminal phosphorylation site of Smad3 was changed from SSVS to DDVD [30] (Fig. S3A). Exogenous expression of caSmad3 was expected to activate the signaling pathway at a point downstream of signal inhibition by polyI:C. PolyI:C transfection induced the damaged floating cells in the culture, while the stable expression of caSmad3 markedly counteracted the effect of polyI:C and increased the intact cells attached to the plate (Fig. 2A). We then evaluated polyI:C‐induced cell death using flow cytometry and staining with annexin V and propidium iodide (PI). We found that the expression of caSmad3 decreased the proportions of annexin V+/PI+ cells, which were remarkably increased by polyI:C transfection (Fig. 2B,C). Of note, stimulation with TGF‐β did not halt cell death possibly because the amount of phosphorylated Smad3 was suppressed by polyI:C and not enough for protection from cell death. We additionally stimulated Hs578T cells with TGF‐β before polyI:C transfection, and found that pretreatment with TGF‐β very weakly suppressed polyI:C‐induced cell death, although the effect of TGF‐β was not significant (Fig. S3B). These results suggested that the activation of the downstream signaling pathway by expression of caSmad3 in Hs578T cells partly rescued the cells from polyI:C‐induced cell death.
3.3. Characterization of polyI:C‐induced cell death
To understand the therapeutic efficacy of polyI:C transfection on TNBC, we further characterized the polyI:C‐induced cell death. As caspase dependency is an important factor for characterizing cell death, we treated polyI:C‐transfected Hs578T cells with the pan‐caspase inhibitor Z‐VAD‐FMK. We found that Z‐VAD‐FMK treatment dramatically decreased the proportion of annexin V+/PI+ cells that were markedly increased by polyI:C, suggesting that polyI:C‐induced cell death was largely dependent on caspase function (Fig. 3A,B). A previous report suggested that RLR‐induced caspase‐dependent cell death is mediated by intrinsic apoptosis, extrinsic apoptosis, and pyroptosis [11]. Although the definition of ‘pyroptosis’ has changed with time, it is currently believed that pyroptosis is a kind of programmed necrotic cell death induced by gasdermins [36, 37]. Therefore, we examined whether the polyI:C‐induced cell death was pyroptosis. After transfection of Hs578T cells with polyI:C, we observed cell swelling with large bubbles (Fig. 3C), the release of cellular contents quantified by LDH (Fig. 3D), and the absence of annexin V+ and PI‐ early apoptotic population (Figs. 2B and 3A), which are important phenotypes of pyroptosis. In addition, we evaluated gasdermin cleavage by blotting the N terminus of GSDMD and GSDME. GSDMD and GSDME of the gasdermin family are known to be endogenously cleaved and contribute to pyroptosis. While we did not detect GSDMD cleavage after polyI:C transfection of Hs578T cells, cleavage of GSDMD was detected in THP‐1 cells following the combination of LPS and nigericin, which was used as a positive control (Fig. 3E). In contrast, N‐terminal‐cleaved GSDME was detected in polyI:C‐transfected Hs578T cells (Fig. 3E). These results suggested that polyI:C transfection induced pyroptosis in Hs578T cells.
3.4. Attenuation of TGF‐β signaling by polyI:C transfection accelerated caspase 3‐dependent pyroptosis
Inhibition of cell death by Z‐VAD‐FMK and detection of GSDME cleavage suggested that activation of the cell death pathway by polyI:C in Hs578T cells was predominantly executed by caspase 3, which is the only known caspase to process and activate GSDME. Therefore, we first used the caspase 3‐specific inhibitor Z‐DEVD‐FMK and found that polyI:C‐induced cell death was almost entirely prevented by Z‐DEVD‐FMK treatment (Fig. 4A). Z‐DEVD‐FMK treatment also inhibited GSDME cleavage induced by polyI:C in Hs578T cells (Fig. 4B). These results suggested that polyI:C‐induced pyroptosis in Hs578T cells was largely dependent on caspase 3 activation.
As described above, attenuation of TGF‐β signaling by polyI:C accelerated Hs578T cell death. Furthermore, the forced expression of caSmad3 in Hs578T cells decreased the proportion of annexin V+/PI+ cells and directly increased the number of annexin V‐/PI‐ cells without the appearance of early apoptotic annexin V+/PI‐ cells. Therefore, the next question we asked was whether caSmad3 expression would attenuate polyI:C‐induced pyroptosis in Hs578T cells. To address this, we measured caspase 3/7 activity and found that caSmad3 expression suppressed caspase 3/7 activation, which was elevated by polyI:C transfection (Fig. 4C). In addition, caSmad3 expression also abrogated polyI:C‐induced GSDME cleavage and the release of LDH (Fig. 4D,E). Expression of GSDME is important for switching from apoptosis to pyroptosis [37]. Although expression of GSDME is lower in all types of breast cancer than that in other types of cancer cells (Fig. S4), we found that GSDME expression in TNBC was significantly higher than that in non‐TNBC [25, 38] (Fig. 4F), supporting a previous report [39]. The above results suggested that TNBC‐specific GSDME expression appeared to contribute to polyI:C‐induced caspase 3‐mediated pyroptosis, which was inhibited by caSmad3 expression.
To examine whether suppression of TGF‐β signaling by polyI:C and its pyroptosis‐promoting effect are universally applicable in TNBC, we additionally used another TNBC cell line, BT‐549, in which TGF‐β also shows tumor‐promoting effects [22]. Transfection of polyI:C suppressed phosphorylation of Smad3 (Fig. S5A) and the induction of TGF‐β target genes PMEPA1, SERPINE1, and SMAD7. We have not observed significant induction of ZEB1 and LRRC15 (Fig. S5B) that we have seen in Hs578T cells (Fig. 1C), possibly reflecting the context dependency of the TGF‐β targets [40]. We also checked caspase‐dependent cell death using Z‐VAD‐FMK. PolyI:C transfection notably induced annexin V+/PI+ populations, and Z‐VAD‐FMK treatment dramatically suppressed these populations, suggesting caspase‐dependent cell death by polyI:C was also observed in BT‐549 cells (Fig. S5C). Significant production of N‐terminal cleaved GSDME, not GSDMD, was also observed in BT‐549 cells by polyI:C transfection (Fig. S5D). Thus, we analogously produced BT‐549 cells stably expressing caSmad3, and evaluated polyI:C‐induced cell death. Expression of caSmad3 prominently suppressed cell death (Fig. S5E–G), and TGF‐β pretreatment showed a trend to partially abrogate polyI:C‐induced cell death (Fig. S5H). Cleavage of GSDME was also attenuated by caSmad3 (Fig. S5I).
3.5. Detailed mechanism of protection from polyI:C‐induced cell death by caSmad3
We then investigated the mechanisms of caSmad3‐triggered cell survival of Hs578T cells following polyI:C transfection. RNA‐seq analysis revealed that TGF‐β stimulation did not dramatically alter antiapoptotic Bcl‐2 factor expression in Hs578T cells (Fig. S6A). Furthermore, treatment with the TβRI inhibitor LY364947 did not increase cell death (Figs. 5A and S6B), suggesting that not the TGF‐β signaling alone but its interference with cell death pathway triggered by polyI:C exhibited cell survival in Hs578T cells. One of the known mechanisms of RLR‐induced cell death is explained by Noxa, a BH3‐only protein. We found that polyI:C dramatically induced Noxa expression, which was suppressed by the gene inactivation of MDA5 and RIG‐I (Fig. 5B). Stimulation of the cells with TGF‐β did not affect the expression of Noxa, which was in accordance with the result observed in the flow cytometry in Fig. 2C. Next, we measured Noxa expression after polyI:C transfection with or without caSmad3 expression. We found that caSmad3 partly suppressed the induction of Noxa mRNA and protein expression (Figs 4D and 5C). Decreased expression of Noxa with caSmad3 expression was also observed in BT‐549 cells (Fig. S5I). To investigate the possibility of transcriptional repression by the Smad pathway downstream of TGF‐β, we reanalyzed the Smad2 ChIP sequence data in Hs578T cells stimulated with the TGF‐β family ligand activin A [28]. We identified a Smad2 binding site in the promoter region of the PMAIP1 gene encoding Noxa in Hs578T cells (Fig. 5D). A peak in the vicinity of this site was also confirmed in an anti‐Smad2/3 ChIP‐seq data obtained from TGF‐β‐stimulated Hs578T cells, though the peak was weak (data not shown) [19]. These results suggest that Smad‐mediated transcriptional repression may be associated with Noxa downregulation, which then led to the attenuation of polyI:C‐induced cell death by caSmad3 expression.
However, the contribution from inhibition of the Smad pathway to the strong induction of Noxa by polyI:C was limited. Our results therefore suggested that additional mechanisms were involved in the induction of pyroptosis through inhibition of the TGF‐β signaling. Therefore, we examined the association between p38 and the caSmad3‐mediated reduction of cell death. We found that caSmad3 expression attenuated polyI:C‐induced phosphorylation of p38 in Hs578T cells, which could be caused by induction of DUSP1 by TGF‐β, a known p38 phosphatase (Fig. S7A,B). We used two p38 inhibitors and found that SB203580 partly decreased polyI:C‐induced cell death, but the effect of SB202190 was less (Fig. S7C,D). Together, these results suggested that caSmad3 possibly attenuated polyI:C‐induced pyroptosis through its multiple downstream factors.
3.6. Suppression of TGF‐β signaling by polyI:C contributed to tumor suppression
Finally, we addressed the efficacy of polyI:C suppression of TGF‐β signaling in vivo. We used murine breast cancer 4T1 cells, which have been previously used as a model of TNBC [41]. PolyI:C transfection in 4T1 cells attenuated the phosphorylation of Smad3 following TGF‐β stimulation (Fig. 6A). We then evaluated polyI:C‐induced cell death in 4T1 cells. Cell swelling, direct transition of cellular annexin V‐/PI‐ populations to annexin V+/PI+ populations, and cleavage of GSDME protein were all observed in 4T1 cells after polyI:C transfection, suggesting that polyI:C also promoted pyroptosis in 4T1 cells (Fig. 6B–E). In addition, we also examined the effect of caSmad3 overexpression on polyI:C‐induced cell death. Forced expression of caSmad3 partially inhibited polyI:C‐induced cell death (Fig. 6C,D) and GSDME cleavage (Fig. 6E). Treatment with Z‐VAD‐FMK also partially suppressed polyI:C‐induced cell death (Fig. 6C,D). These results suggested that both caspase‐dependent and caspase‐independent mechanisms of cell death induced by polyI:C were involved in the 4T1 cells and that this was a critical reason for the partial suppression of polyI:C‐induced cell death by caSmad3. We then evaluated the effect of intratumoral polyI:C transfection on tumor suppression using 4T1 cells orthotopically transplanted into BALB/c mice. Although polyI:C transfection did not significantly affect tumor volume, tumor weight was significantly reduced by polyI:C transfection (Fig. 6F,G) and phosphorylation of Smad3 in tumor samples was significantly reduced after polyI:C transfection (Fig. 6H,I). These results suggested that transfection of polyI:C induced pyroptosis in 4T1 cells, leading to the suppression of tumor growth, which was partially mediated by attenuation of TGF‐β signaling.
4. Discussion
The activation of cytosolic dsRNA signaling in cancer cells has been a widely recognized and may be a promising strategy for treating cancers. In the present study, we demonstrated that activation of RLR signaling by transfection of TNBC cells with a synthetic dsRNA analogue suppressed TGF‐β signaling. Furthermore, this process provided additional therapeutic benefit in that attenuation of TGF‐β signaling led to enhancement of cell pyroptosis.
4.1. Activation of RLR singling or other PRR signaling in cancer cells
To prevent virus replication, hosts have a system that results in the death of infected cells [42]. It is important to note that this cell death pathway also exists in many cancer cells because many reports have suggested the importance of RLR signaling in tumor suppression. Overexpression of MDA5 [43], endogenous retroviruses [44, 45], cytosolic induction of polyI:C [12, 46, 47, 48], and other ligands recognized by RLR [8] have been reported to increase cell death and tumor repression. Therefore, it is not surprising that polyI:C is being evaluated in a clinical trial of cancer treatment, including TNBC. In the present study, we showed that intracellularly administered polyI:C was recognized by MDA5 and RIG‐I, which resulted in the attenuation of TGF‐β signaling and promotion of cell death. Based on our present findings, other RLR ligands for cancer treatment may show similar inhibitory effects on TGF‐β signaling through the same RLR signaling pathway.
In the context of TNBC treatment, recently approved PARP inhibitors for patients carrying BRCA mutations strikingly inhibit DNA‐repairing system, resulting in breakage of DNA, release of small DNA called ‘micronuclei’ in the cytoplasm, and triggering cyclic GMP‐AMP synthase (cGAS) stimulator of interferon genes (STING) DNA‐sensing pathway that causes activation of TANK‐binding kinase 1 (TBK1) and IRF3 [49, 50]. Therefore, there is a possibility that PARP inhibitor simultaneously suppresses TGF‐β signaling through production of phosphorylated IRF3 by TBK1, and this can be one of the mechanisms of cancer cell death by PARP inhibitor. In addition, activation of nucleic acid sensing pathway such as by cytosolic dsRNA administration or PARP inhibition (with activation of cGAS‐STING signaling) upregulates immune checkpoint proteins [51, 52, 53]. Therefore, the combination therapy of anti‐PD‐1/PD‐L1 antibody with PARP inhibitor or polyI:C is also suggested to suppress TNBC progression partly through the inhibition of TGF‐β pathway. Of note, PARP also negatively regulates TGF‐β‐Smad signaling through ADP‐ribosylation of Smads [54]. Further investigations will be needed regarding the antitumor effect and mode of action of each PARP inhibitor, in relation to its effect on the cGAS‐STING signaling and TGF‐β signaling.
4.2. Suppression of TGF‐β signaling by activation of RLR signaling
Signaling interactions sometimes reveal important biological phenotypes. One study showed that knockdown of IRF3 accelerates TGF‐β‐induced EMT in HaCaT normal epidermal keratinocytes, and suggested that activated IRF3 suppresses TGF‐β signaling by binding to Smad3 and blocking its activation by the receptors [24]. This is supported by the findings that the structure of C‐terminal region of IRF3 is similar to that of the MH2 domain of Smad3, which is important for protein–protein interactions [55, 56, 57, 58]. Considering our findings and the fact that TGF‐β is also reported to be important for maintaining cancer stem cells that show resistance to chemotherapeutic drugs in breast cancer, polyI:C transfection may also target caner stem cells.
4.3. Prosurvival function of TGF‐β signaling
It is noteworthy that TGF‐β contributes to two contrasting aspects of cell fate. It is reported to exhibit both antisurvival and prosurvival functions, which are dependent on the context and cell types. For example, TGF‐β suppresses antiapoptotic Bcl‐2 and Bcl‐XL expression to induce cell death [59, 60, 61], while in other situations, it induces their expressions to promote cell survival [62, 63, 64]. We focused on the prosurvival function of TGF‐β in this study, which is also observed in microglia, pancreatic β cells, and regulatory T cells by induction of FLICE‐inhibitory protein (FLIP or CFLAR), which suppresses the function of caspase 8 [65, 66, 67]. In the context of cancer, TGF‐β induces BHLHE40, which encodes deleted in esophageal cancer 1 (DEC1) to promote survival of mammary carcinoma cells [21]. However, we were unable to detect upregulation of Bcl‐2, Bcl‐XL, or FLIP by TGF‐β stimulation (Fig. S6A and data not shown) or the strong induction of DEC1 by caSmad3 expression in Hs578T cells (data not shown). These results indicated that other prosurvival mechanisms of TGF‐β signaling were present in TNBC cells. We suggested that expression of caSmad3 suppressed polyI:C‐induced Noxa expression, which is reported to be important for polyI:C‐induced cell death in cancer cells [46, 48]. This is believed to be mediated through transcriptional suppression by Smads [68]. However, caSmad3‐mediated reduction of Noxa expression is not drastic, leading to the possibility of other systems also being involved in the prosurvival function of TGF‐β in polyI:C‐triggered cell death, such as attenuation of p38 phosphorylation (Fig. S7).
4.4. Pyroptosis
The term ‘pyroptosis’ was originally defined as caspase 1‐dependent cell death accompanied by inflammation [69]. However, the definition was changed after the identification of gasdermins as executioners in the permeabilization of plasma membranes [36, 70, 71, 72]. During the late stage of cell death, gasdermins are cleaved by activated caspases or other cytotoxic proteases, releasing the N‐terminal domain, which can trigger pyroptosis by forming oligomers and pores in the cell membrane. This mechanism explains the characteristics of pyroptotic cells we observed. Recent findings suggest that pyroptosis is closely related to cancer progression. Pyroptosis occurs in cancer cells, changing the tumor immune microenvironment from ‘cold’ to ‘hot’ due to the accumulation and activation of antitumor immune cells, such as cytotoxic T cells or natural killer cells. This is believed to be caused by the release of damage‐associated molecular patterns, such as HMGB1, from dead cells [73, 74]. Given that activation of the tumor immune microenvironment is associated with immunotherapy efficacy [75] and GSDME is highly expressed in TNBC [39] (our data), polyI:C‐induced pyroptosis may provide more potent therapeutic efficacy than we expected for the treatment of TNBC. In addition, we showed that caSmad3 expression attenuated polyI:C‐induced pyroptosis through diminishing caspase 3 activity. This may be one reason TGF‐β exhibits immune suppressive activity in the tumor microenvironment.
5. Conclusion
Transfection of polyI:C promoted pyroptosis, which was enhanced by the suppression of TGF‐β signaling and its anti‐pyroptotic function. The findings in the present study thus help elucidate a potential molecular targeting strategy associated with the use of synthetic dsRNA analogues for patients with TNBC.
Conflict of interest
The authors declare no conflict of interest.
Author contributions
YT, MM, RT, DK, and KM designed the experiment and analyzed the data. YT, DK, and KM wrote the paper. YT performed most of the experiments.
Peer Review
The peer review history for this article is available at https://publons.com/publon/10.1002/1878‐0261.12890.
Supporting information
Acknowledgements
We appreciate Dr. Hiroyuki Miyoshi (deceased, formerly Keio University, Tokyo, Japan) and Feng Zhang (Massachusetts Institute of Technology, Cambridge, MA, USA) for providing vectors and Yasuyuki Morishita and Keiko Yuki for technical assistance. The webtool Enrichr provided us a gene ontology analysis platform [26, 27].
This work was supported by KAKENHI Grants‐in‐Aid for Scientific Research (S) (15H05774) and (A) (20H00513) (KM) from the Japan Society for the Promotion of Science (JSPS). YT was supported by JSPS Research Fellowship for Young Scientists (DC1).
Data Accessibility
Raw sequence data are available in the GEO database (accession number GSE152414).
References
- 1. Foulkes WD, Smith IE & Reis‐Filho JS (2010) Triple‐negative breast cancer. N Engl J Med 363, 1938–1948. [DOI] [PubMed] [Google Scholar]
- 2. Shah SP, Roth A, Goya R, Oloumi A, Ha G, Zhao Y, Turashvili G, Ding J, Tse K, Haffari G et al. (2012) The clonal and mutational evolution spectrum of primary triple‐negative breast cancers. Nature 486, 395–399. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 3. Caparica R, Lambertini M & de Azambuja E (2019) How I treat metastatic triple‐negative breast cancer. ESMO Open 4, e000504. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 4. Cyprian FS, Akhtar S, Gatalica Z & Vranic S (2019) Targeted immunotherapy with a checkpoint inhibitor in combination with chemotherapy: a new clinical paradigm in the treatment of triple‐negative breast cancer. Bosn J Basic Med Sci 19, 227–233. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 5. Mittendorf EA, Philips AV, Meric‐Bernstam F, Qiao N, Wu Y, Harrington S, Su X, Wang Y, Gonzalez‐Angulo AM, Akcakanat A et al. (2014) PD‐L1 expression in triple‐negative breast cancer. Cancer Immunol Res 2, 361–370. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 6. Agrawal S & Kandimalla ER (2019) Intratumoural immunotherapy: activation of nucleic acid sensing pattern recognition receptors. Immuno‐Oncol Technol 3, 15–23. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 7. Demaria O, Cornen S, Daeron M, Morel Y, Medzhitov R & Vivier E (2019) Harnessing innate immunity in cancer therapy. Nature 574, 45–56. [DOI] [PubMed] [Google Scholar]
- 8. Elion DL, Jacobson ME, Hicks DJ, Rahman B, Sanchez V, Gonzales‐Ericsson PI, Fedorova O, Pyle AM, Wilson JT & Cook RS (2018) Therapeutically active RIG‐I agonist induces immunogenic tumor cell killing in breast cancers. Cancer Res 78, 6183–6195. [DOI] [PubMed] [Google Scholar]
- 9. Loo YM & Gale M Jr (2011) Immune signaling by RIG‐I‐like receptors. Immunity 34, 680–692. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 10. Takeuchi O & Akira S (2010) Pattern recognition receptors and inflammation. Cell 140, 805–820. [DOI] [PubMed] [Google Scholar]
- 11. Elion DL & Cook RS (2018) Harnessing RIG‐I and intrinsic immunity in the tumor microenvironment for therapeutic cancer treatment. Oncotarget 9, 29007–29017. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 12. Aznar MA, Planelles L, Perez‐Olivares M, Molina C, Garasa S, Etxeberria I, Perez G, Rodriguez I, Bolanos E, Lopez‐Casas P et al. (2019) Immunotherapeutic effects of intratumoral nanoplexed poly I:C. J Immunother Cancer 7, 116. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 13. Miyazono K, Katsuno Y, Koinuma D, Ehata S & Morikawa M (2018) Intracellular and extracellular TGF‐β signaling in cancer: some recent topics. Front Med 12, 387–411. [DOI] [PubMed] [Google Scholar]
- 14. Derynck R & Budi EH (2019) Specificity, versatility, and control of TGF‐β family signaling. Sci Signal 12, eaav5183. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 15. Ikushima H & Miyazono K (2010) TGFβ signalling: a complex web in cancer progression. Nat Rev Cancer 10, 415–424. [DOI] [PubMed] [Google Scholar]
- 16. Massague J (2008) TGFβ in cancer. Cell 134, 215–230. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 17. Arase M, Tamura Y, Kawasaki N, Isogaya K, Nakaki R, Mizutani A, Tsutsumi S, Aburatani H, Miyazono K & Koinuma D (2017) Dynamics of chromatin accessibility during TGF‐β‐induced EMT of Ras‐transformed mammary gland epithelial cells. Sci Rep 7, 1166. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 18. Katsuno Y, Meyer DS, Zhang Z, Shokat KM, Akhurst RJ, Miyazono K & Derynck R (2019) Chronic TGF‐β exposure drives stabilized EMT, tumor stemness, and cancer drug resistance with vulnerability to bitopic mTOR inhibition. Sci Signal 12, eaau8544. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 19. Sundqvist A, Morikawa M, Ren J, Vasilaki E, Kawasaki N, Kobayashi M, Koinuma D, Aburatani H, Miyazono K, Heldin CH et al. (2018) JUNB governs a feed‐forward network of TGFβ signaling that aggravates breast cancer invasion. Nucleic Acids Res 46, 1180–1195. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 20. Vasilaki E, Morikawa M, Koinuma D, Mizutani A, Hirano Y, Ehata S, Sundqvist A, Kawasaki N, Cedervall J, Olsson AK et al. (2016) Ras and TGF‐β signaling enhance cancer progression by promoting the ΔNp63 transcriptional program. Sci Signal 9, ra84. [DOI] [PubMed] [Google Scholar]
- 21. Ehata S, Hanyu A, Hayashi M, Aburatani H, Kato Y, Fujime M, Saitoh M, Miyazawa K, Imamura T & Miyazono K (2007) Transforming growth factor‐β promotes survival of mammary carcinoma cells through induction of antiapoptotic transcription factor DEC1. Cancer Res 67, 9694–9703. [DOI] [PubMed] [Google Scholar]
- 22. Fang Y, Chen Y, Yu L, Zheng C, Qi Y, Li Z, Yang Z, Zhang Y, Shi T, Luo J et al. (2013) Inhibition of breast cancer metastases by a novel inhibitor of TGFβ receptor 1. J Natl Cancer Inst 105, 47–58. [DOI] [PubMed] [Google Scholar]
- 23. Chen XH, Liu ZC, Zhang G, Wei W, Wang XX, Wang H, Ke HP, Zhang F, Wang HS, Cai SH et al. (2015) TGF‐β and EGF induced HLA‐I downregulation is associated with epithelial‐mesenchymal transition (EMT) through upregulation of snail in prostate cancer cells. Mol Immunol 65, 34–42. [DOI] [PubMed] [Google Scholar]
- 24. Xu P, Bailey‐Bucktrout S, Xi Y, Xu D, Du D, Zhang Q, Xiang W, Liu J, Melton A, Sheppard D et al. (2014) Innate antiviral host defense attenuates TGF‐β function through IRF3‐mediated suppression of Smad signaling. Mol Cell 56, 723–737. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 25. Lehmann BD, Bauer JA, Chen X, Sanders ME, Chakravarthy AB, Shyr Y & Pietenpol JA (2011) Identification of human triple‐negative breast cancer subtypes and preclinical models for selection of targeted therapies. J Clin Invest 121, 2750–2767. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 26. Chen EY, Tan CM, Kou Y, Duan Q, Wang Z, Meirelles GV, Clark NR & Ma'ayan A (2013) Enrichr: interactive and collaborative HTML5 gene list enrichment analysis tool. BMC Bioinformatics 14, 128. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 27. Kuleshov MV, Jones MR, Rouillard AD, Fernandez NF, Duan Q, Wang Z, Koplev S, Jenkins SL, Jagodnik KM, Lachmann A et al. (2016) Enrichr: a comprehensive gene set enrichment analysis web server 2016 update. Nucleic Acids Res 44, W90–W97. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 28. Harada M, Morikawa M, Ozawa T, Kobayashi M, Tamura Y, Takahashi K, Tanabe M, Tada K, Seto Y, Miyazono K et al. (2019) Palbociclib enhances activin‐SMAD‐induced cytostasis in estrogen receptor‐positive breast cancer. Cancer Sci 110, 209–220. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 29. Golden RJ, Chen B, Li T, Braun J, Manjunath H, Chen X, Wu J, Schmid V, Chang TC, Kopp F et al. (2017) An Argonaute phosphorylation cycle promotes microRNA‐mediated silencing. Nature 542, 197–202. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 30. Chipuk JE, Cornelius SC, Pultz NJ, Jorgensen JS, Bonham MJ, Kim SJ & Danielpour D (2002) The androgen receptor represses transforming growth factor‐β signaling through interaction with Smad3. J Biol Chem 277, 1240–1248. [DOI] [PubMed] [Google Scholar]
- 31. Yang KM, Kim W, Bae E, Gim J, Weist BM, Jung Y, Hyun JS, Hernandez JB, Leem SH, Park T et al. (2012) DRAK2 participates in a negative feedback loop to control TGF‐β/Smads signaling by binding to type I TGF‐β receptor. Cell Rep 2, 1286–1299. [DOI] [PubMed] [Google Scholar]
- 32. Mori M, Yoneyama M, Ito T, Takahashi K, Inagaki F & Fujita T (2004) Identification of Ser‐386 of interferon regulatory factor 3 as critical target for inducible phosphorylation that determines activation. J Biol Chem 279, 9698–9702. [DOI] [PubMed] [Google Scholar]
- 33. Higgs R, Gabhann JN, Larbi NB, Breen EP, Fitzgerald KA & Jefferies CA (2008) The E3 ubiquitin ligase Ro52 negatively regulates IFN‐β production post‐pathogen recognition by polyubiquitin‐mediated degradation of IRF3. J Immunol 181, 1780–1786. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 34. Lei CQ, Zhang Y, Xia T, Jiang LQ, Zhong B & Shu HB (2013) FoxO1 negatively regulates cellular antiviral response by promoting degradation of IRF3. J Biol Chem 288, 12596–12604. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 35. Purcell JW, Tanlimco SG, Hickson J, Fox M, Sho M, Durkin L, Uziel T, Powers R, Foster K, McGonigal T et al. (2018) LRRC15 is a novel mesenchymal protein and stromal target for antibody‐drug conjugates. Cancer Res 78, 4059–4072. [DOI] [PubMed] [Google Scholar]
- 36. Broz P, Pelegrín P & Shao F (2020) The gasdermins, a protein family executing cell death and inflammation. Nature Rev Immunol 20, 143–157. [DOI] [PubMed] [Google Scholar]
- 37. Wang Y, Gao W, Shi X, Ding J, Liu W, He H, Wang K & Shao F (2017) Chemotherapy drugs induce pyroptosis through caspase‐3 cleavage of a gasdermin. Nature 547, 99–103. [DOI] [PubMed] [Google Scholar]
- 38. Smith SE, Mellor P, Ward AK, Kendall S, McDonald M, Vizeacoumar FS, Vizeacoumar FJ, Napper S & Anderson DH (2017) Molecular characterization of breast cancer cell lines through multiple omic approaches. Breast Cancer Res 19, 65. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 39. Thompson DA & Weigel RJ (1998) Characterization of a gene that is inversely correlated with estrogen receptor expression (ICERE‐1) in breast carcinomas. Eur J Biochem 252, 169–177. [DOI] [PubMed] [Google Scholar]
- 40. David CJ & Massagué J (2018) Contextual determinants of TGFβ action in development, immunity and cancer. Nat Rev Mol Cell Biol 19, 419–435. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 41. Kim IS, Gao Y, Welte T, Wang H, Liu J, Janghorban M, Sheng K, Niu Y, Goldstein A, Zhao N et al. (2019) Immuno‐subtyping of breast cancer reveals distinct myeloid cell profiles and immunotherapy resistance mechanisms. Nat Cell Biol 21, 1113–1126. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 42. Jorgensen I, Rayamajhi M & Miao EA (2017) Programmed cell death as a defence against infection. Nat Rev Immunol 17, 151–164. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 43. Yu X, Wang H, Li X, Guo C, Yuan F, Fisher PB & Wang XY (2016) Activation of the MDA‐5‐IPS‐1 viral sensing pathway induces cancer cell death and type I IFN‐dependent antitumor immunity. Cancer Res 76, 2166–2176. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 44. Cañadas I, Thummalapalli R, Kim JW, Kitajima S, Jenkins RW, Christensen CL, Campisi M, Kuang Y, Zhang Y, Gjini E et al. (2018) Tumor innate immunity primed by specific interferon‐stimulated endogenous retroviruses. Nat Med 24, 1143–1150. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 45. Sheng W, LaFleur MW, Nguyen TH, Chen S, Chakravarthy A, Conway JR, Li Y, Chen H, Yang H, Hsu PH et al. (2018) LSD1 ablation stimulates anti‐tumor immunity and enables checkpoint blockade. Cell 174, 549–563. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 46. Besch R, Poeck H, Hohenauer T, Senft D, Häcker G, Berking C, Hornung V, Endres S, Ruzicka T, Rothenfusser S et al. (2009) Proapoptotic signaling induced by RIG‐I and MDA‐5 results in type I interferon‐independent apoptosis in human melanoma cells. J Clin Invest 119, 2399–2411. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 47. Bhoopathi P, Quinn BA, Gui Q, Shen XN, Grossman SR, Das SK, Sarkar D, Fisher PB & Emdad L (2014) Pancreatic cancer‐specific cell death induced in vivo by cytoplasmic‐delivered polyinosine‐polycytidylic acid. Cancer Res 74, 6224–6235. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 48. Tormo D, Checińska A, Alonso‐Curbelo D, Pérez‐Guijarro E, Cañón E, Riveiro‐Falkenbach E, Calvo TG, Larribere L, Megías D, Mulero F et al. (2009) Targeted activation of innate immunity for therapeutic induction of autophagy and apoptosis in melanoma cells. Cancer Cell 16, 103–114. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 49. Pantelidou C, Sonzogni O, De Oliveria Taveira M, Mehta AK, Kothari A, Wang D, Visal T, Li MK, Pinto J, Castrillon JA et al. (2019) PARP inhibitor efficacy depends on CD8(+) T‐cell recruitment via intratumoral STING pathway activation in BRCA‐deficient models of triple‐negative breast cancer. Cancer Discov 9, 722–737. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 50. Reisländer T, Groelly FJ & Tarsounas M (2020) DNA damage and cancer immunotherapy: a STING in the tale. Mol Cell 80, 21–28. [DOI] [PubMed] [Google Scholar]
- 51. Brockwell NK, Owen KL, Zanker D, Spurling A, Rautela J, Duivenvoorden HM, Baschuk N, Caramia F, Loi S, Darcy PK et al. (2017) Neoadjuvant interferons: critical for effective PD‐1‐based immunotherapy in TNBC. Cancer Immunol Res 5, 871–884. [DOI] [PubMed] [Google Scholar]
- 52. Kwon J & Bakhoum SF (2020) The cytosolic DNA‐sensing cGAS‐STING pathway in cancer. Cancer Discov 10, 26–39. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 53. Sen T, Rodriguez BL, Chen L, Corte CMD, Morikawa N, Fujimoto J, Cristea S, Nguyen T, Diao L, Li L et al. (2019) Targeting DNA damage response promotes antitumor immunity through STING‐mediated T‐cell activation in small cell lung cancer. Cancer Discov 9, 646–661. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 54. Lönn P, van der Heide LP, Dahl M, Hellman U, Heldin CH & Moustakas A (2010) PARP‐1 attenuates Smad‐mediated transcription. Mol Cell 40, 521–532. [DOI] [PubMed] [Google Scholar]
- 55. Honda K, Takaoka A & Taniguchi T (2006) Type I interferon gene induction by the interferon regulatory factor family of transcription factors. Immunity 25, 349–360. [DOI] [PubMed] [Google Scholar]
- 56. Massagué J (2012) TGFβ signalling in context. Nat Rev Mol Cell Biol 13, 616–630. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 57. Qin BY, Liu C, Lam SS, Srinath H, Delston R, Correia JJ, Derynck R & Lin K (2003) Crystal structure of IRF‐3 reveals mechanism of autoinhibition and virus‐induced phosphoactivation. Nat Struct Mol Biol 10, 913–921. [DOI] [PubMed] [Google Scholar]
- 58. Takahasi K, Suzuki NN, Horiuchi M, Mori M, Suhara W, Okabe Y, Fukuhara Y, Terasawa H, Akira S, Fujita T et al. (2003) X‐ray crystal structure of IRF‐3 and its functional implications. Nat Struct Biol 10, 922–927. [DOI] [PubMed] [Google Scholar]
- 59. Chipuk JE, Bhat M, Hsing AY, Ma J & Danielpour D (2001) Bcl‐xL blocks transforming growth factor‐β 1‐induced apoptosis by inhibiting cytochrome c release and not by directly antagonizing Apaf‐1‐dependent caspase activation in prostate epithelial cells. J Biol Chem 276, 26614–26621. [DOI] [PubMed] [Google Scholar]
- 60. Francis JM, Heyworth CM, Spooncer E, Pierce A, Dexter TM & Whetton AD (2000) Transforming growth factor‐β 1 induces apoptosis independently of p53 and selectively reduces expression of Bcl‐2 in multipotent hematopoietic cells. J Biol Chem 275, 39137–39145. [DOI] [PubMed] [Google Scholar]
- 61. Lafon C, Mathieu C, Guerrin M, Pierre O, Vidal S & Valette A (1996) Transforming growth factor β1‐induced apoptosis in human ovarian carcinoma cells: protection by the antioxidant N‐acetylcysteine and Bcl‐2. Cell Growth Differ 7, 1095–1104. [PubMed] [Google Scholar]
- 62. Franco DL, Mainez J, Vega S, Sancho P, Murillo MM, de Frutos CA, Del Castillo G, López‐Blau C, Fabregat I & Nieto MA (2010) Snail1 suppresses TGF‐β‐induced apoptosis and is sufficient to trigger EMT in hepatocytes. J Cell Sci 123, 3467–3477. [DOI] [PubMed] [Google Scholar]
- 63. Prehn JH, Bindokas VP, Marcuccilli CJ, Krajewski S, Reed JC & Miller RJ (1994) Regulation of neuronal Bcl2 protein expression and calcium homeostasis by transforming growth factor type β confers wide‐ranging protection on rat hippocampal neurons. Proc Natl Acad Sci USA 91, 12599–12603. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 64. Saile B, Matthes N, El Armouche H, Neubauer K & Ramadori G (2001) The bcl, NFκB and p53/p21WAF1 systems are involved in spontaneous apoptosis and in the anti‐apoptotic effect of TGF‐β or TNF‐α on activated hepatic stellate cells. Eur J Cell Biol 80, 554–561. [DOI] [PubMed] [Google Scholar]
- 65. Maedler K, Fontana A, Ris F, Sergeev P, Toso C, Oberholzer J, Lehmann R, Bachmann F, Tasinato A, Spinas GA et al. (2002) FLIP switches Fas‐mediated glucose signaling in human pancreatic β cells from apoptosis to cell replication. Proc Natl Acad Sci USA 99, 8236–8241. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 66. Plaza‐Sirvent C, Schuster M, Neumann Y, Heise U, Pils MC, Schulze‐Osthoff K & Schmitz I (2017) c‐FLIP expression in Foxp3‐expressing cells is essential for survival of regulatory T cells and prevention of autoimmunity. Cell Rep 18, 12–22. [DOI] [PubMed] [Google Scholar]
- 67. Schlapbach R, Spanaus KS, Malipiero U, Lens S, Tasinato A, Tschopp J & Fontana A (2000) TGF‐β induces the expression of the FLICE‐inhibitory protein and inhibits Fas‐mediated apoptosis of microglia. Eur J Immunol 30, 3680–3688. [DOI] [PubMed] [Google Scholar]
- 68. Kang JS, Alliston T, Delston R & Derynck R (2005) Repression of Runx2 function by TGF‐β through recruitment of class II histone deacetylases by Smad3. EMBO J 24, 2543–2555. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 69. Cookson BT & Brennan MA (2001) Pro‐inflammatory programmed cell death. Trends Microbiol 9, 113–114. [DOI] [PubMed] [Google Scholar]
- 70. Kayagaki N, Stowe IB, Lee BL, O'Rourke K, Anderson K, Warming S, Cuellar T, Haley B, Roose‐Girma M, Phung QT et al. (2015) Caspase‐11 cleaves gasdermin D for non‐canonical inflammasome signalling. Nature 526, 666–671. [DOI] [PubMed] [Google Scholar]
- 71. Shi J, Zhao Y, Wang K, Shi X, Wang Y, Huang H, Zhuang Y, Cai T, Wang F & Shao F (2015) Cleavage of GSDMD by inflammatory caspases determines pyroptotic cell death. Nature 526, 660–665. [DOI] [PubMed] [Google Scholar]
- 72. Zhou Z, He H, Wang K, Shi X, Wang Y, Su Y, Li D, Liu W, Zhang Y, Shen L et al. (2020) Granzyme A from cytotoxic lymphocytes cleaves GSDMB to trigger pyroptosis in target cells. Science 368, eaaz7548. [DOI] [PubMed] [Google Scholar]
- 73. Erkes DA, Cai W, Sanchez IM, Purwin TJ, Rogers C, Field CO, Berger AC, Hartsough EJ, Rodeck U, Alnemri ES et al. (2020) Mutant BRAF and MEK inhibitors regulate the tumor immune microenvironment via pyroptosis. Cancer Discov 10, 254–269. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 74. Zhang Z, Zhang Y, Xia S, Kong Q, Li S, Liu X, Junqueira C, Meza‐Sosa KF, Mok TMY, Ansara J et al. (2020) Gasdermin E suppresses tumour growth by activating anti‐tumour immunity. Nature 579, 415–420. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 75. Galon J & Bruni D (2019) Approaches to treat immune hot, altered and cold tumours with combination immunotherapies. Nat Rev Drug Discov 18, 197–218. [DOI] [PubMed] [Google Scholar]
Associated Data
This section collects any data citations, data availability statements, or supplementary materials included in this article.
Supplementary Materials
Data Availability Statement
Raw sequence data are available in the GEO database (accession number GSE152414).