Background
Lung cancer has the highest cancer incidence and mortality worldwide, with a 5-year survival rate of only ~ 10–20% [
1]. Within non-small cell lung cancer, lung adenocarcinoma (LUAD) is the most common histological subtype, accounting for ~ 40% of cases [
2]. While radical resection with lobectomy or segmentectomy is effective in early-stage LUAD, prognosis in the advanced stage is poor [
3]. Radiation and chemotherapy remain first-line therapies, and progress in the development of targeted therapies against oncogenic drivers, such as
EGFR and
KRAS, and recently immunotherapy targeting immune checkpoints shows promise for a new era in treating advanced LUAD [
4]. Nonetheless, intrinsic and acquired resistance to immunotherapy presents a huge barrier for advanced LUAD treatment [
5]. Thus, in-depth studies characterizing mechanisms that lead to immune resistance are pivotal for developing new therapeutic strategies for advanced LUAD.
Circular RNAs (circRNAs; endogenous noncoding RNAs) are closed-loop structures [
6] with critical roles in the initiation and progression of cancers [
7]. Their relatively stable structure, species conservation, and high abundance suggest that circRNAs may serve as reliable biomarkers for cancers [
8]. CircRNAs could exist in the nucleus or cytoplasm and previous studies discovered some circRNAs enriched in exosomes [
9], which are extracellular vesicles ~ 30–150 nm in diameter that facilitate communications between cells. Following discharge into extracellular fluids, exosomes are transferred to recipient cells and regulate the biological functions of other cells via content transfer. circRNAs from tumor-derived exosomes establish immune suppression and escape, and dysregulation of exosomal circRNAs in the tumor microenvironment (TME) can induce the exhaustion and dysfunction of immune cells, such as CD8
+ T cells, natural killer (NK) cells, and dendritic cells, and elicit upregulation of immune checkpoints, such as programmed death 1 (PD1) in T cells [
10]. Thus, further investigation into the relationship between exosomal circRNAs and the TME may provide a better understanding of intrinsic and acquired resistance to immunotherapy.
Immunotherapy elicits mainly cytotoxic activities in the TME, especially tumor-infiltrating cytotoxic T lymphocytes, and dysregulated immune checkpoints (e.g., PD1, PD-L1, CTLA4, TIM3) enable immune invasion of tumor cells. Several drugs that block these immune checkpoints are approved to treat various cancers in the advanced stage [
11]; yet, failure of these blockades remains inevitable. This failure stems from tumor cell-intrinsic resistance determined by genetic or transcriptional profiles and dysfunction of cytotoxic T lymphocytes (especially cytotoxic CD8
+ T cells). These processes are mediated either by direct communication between tumor cells and cytotoxic T lymphocytes or indirectly by inhibition from other subgroups in the TME (e.g., myeloid-derived suppressor cells and regulatory T [Treg] cells) [
12]. Interactions between tumor cells and immune-suppressed subgroups leads to the exhaustion of antitumor immunity and orchestrated resistance to immunotherapy. Thus, a deeper understanding of communication between tumor cells and immune-suppressed tumor cells may facilitate immunotherapy progress in cancer.
Here, circRNA sequencing and qRT-PCR showed the up-regulation of circZNF451 (hsa_circ_0002638) in exosomes from patients with progressive disease (PD) compared with patients with partial remission (PR). Level of circZNF451 in exosomes was highly consistent with the expression of circZNF451 in tumor tissues. Moreover, in vitro and in vivo assays suggested that exosomal circZNF451 could induce M2 polarization of macrophages to reshape the TME and limit the sensitivity of anti-PD1 treatment. Moreover, we demonstrated that circZNF451 elicited ubiquitination of the RBP FXR1 by the E3 ligase TRIM56 to activate the ELF4-IRF4 pathway in macrophages. Importantly, conditional knockout of ELF4 in macrophages was found to enhance the efficacy of anti-PD1 in LUAD with high expression of circZNF451 by transgenic mice. Collectively, we reveal a new mechanism for the anti-PD1 resistance, and a potential biomarker for the prediction of anti-PD1 efficacy.
Methods
Cell culture and reagents
Six LUAD cell lines A549, H1299, Calu-3, H1975, H1395, and LLC, HEK-293 T cells, and THP-1 cells were provided by the cell bank of the Chinese Academy of Sciences. Cells were cultured with DMEM or RPMI-1640 (Gibco, USA) with 10% fetal bovine serum (Gibco, USA) at 37℃ and 5% CO2.
Vector construction and plasmid transfection
All plasmids used in this study were constructed by Genomeditech (Shanghai, China). Lentivirus production and infection were performed using a lentiviral packaging kit and liposomal transfection reagent (Yeasen, Shanghai). Sequences of shcircZNF451, siFXR1, siTRIM56, siELF4, and siIRF4 are listed in Supplementary Table
3.
Tissues samples
ALL tumor tissues and peripheral blood were obtained from patients at Fudan University Zhongshan Hospital who underwent surgery between 2008 and 2010. The tumor tissues were frozen by liquid nitrogen and stored under -80 ℃. The sera of the peripheral blood were stored under -20 ℃. The tissue microarray (TMA) consisted of 113 LUAD tissues and peripheral tumor tissues. Histopathology was evaluated by two experienced pathologists. Patient clinical characteristics are described in Supplementary Table
2. All patients signed the consent form, and all human and animal work was approved by the Ethics Committee of Fudan University Zhongshan Hospital.
Exosome isolation
Exosomes from the sera of LUAD patients and culture medium of LUAD cell lines were extracted with ExoQuick exosome precipitation solution (SBI, USA) according to the manufacturer’s protocol. Isolated exosomes were further used for quantitative real-time PCR (qRT-PCR) and circRNA sequencing.
Western blotting, qRT-PCR, and immunohistochemistry (IHC)
Western blotting, qRT-PCR, and IHC were performed according to our previous study [
13], and details are provided in the
Supplementary Methods. The antibodies used in this study were presented in supplementary Table
4. The primers for qRT-PCR were presented in supplementary Table
5. The original images of western blotting were presented in additional file
4.
RNA sequencing and Sanger sequencing
RNA sequencing and bioinformatic analysis were performed by Majorbio (Shanghai, China). Detected circRNAs and mRNAs with fold change (FC) values of > 2 and P values of < 0.05 were included for further analysis. Heat map and volcano plots were used to illustrate the expression profiles of different circRNAs and mRNAs. Kyoto Encyclopedia of Genes and Genomes (KEGG) and Gene ontology (GO) analyses were used to identify immune-related genes and explore potential candidates for FXR1. Sanger sequencing of circZNF451 in A549 cells was performed by Tsingke (Shanghai, China).
RNase R and RNase a digestion
The RNase R was used to digest the linear mRNA, while the circRNAs could endure its digestion. The RNase A could be used to digest the circRNAs. A total of 2 μg of RNA was incubated with 10 U of RNase R or RNase A (Thermo Fisher, USA) for approximately 30 min. Digested RNA was further purified with a TRIeasy Plus total RNA kit (Yeasen, Shanghai) and analyzed by qRT-PCR.
Fluorescence in situ hybridization (FISH) immunofluorescence
To determine the localization of circZNF451, FXR1, and TRIM56 in THP-1 cells, cells were fixed with 4% formaldehyde, prehybridized, and further hybridized with fluorescein-labeled circZNF451 probe for 12 h at 37℃. Cells were blocked with goat serum for 30 min and incubated with primary antibody for 1 h. After washing with phosphate-buffered saline (PBS), cells were incubated with Alexa Fluor 488-conjugated secondary antibody (Yeasen, Shanghai) for 1 h. Cells were sealed with mounting medium plus DAPI, and images were captured with a fluorescence microscope. The probe of circZNF451 was listed in supplementary Table
5. To evaluate the expression of circZNF451 in the LUAD and peri-tumor tissues of TMA stained with FISH, we selected four represented areas in each dot of the TMA. The mean optical intensity of each area was calculated by the Image-Pro Plus software (Media Cybernetics; Silver Spring, MD, USA) and the average of the mean optical intensity in the four areas was regarded as the score for the expression of circZNF451.
Cytokine measurement
Cytokine production in THP-1 cell supernatants was measured using the human cytokine/chemokine microarray (Luminex, USA). After the stimulation by LPS for 24 h, concentrations of interleukin-1β (IL-1β), IL-1 receptor antagonist (IL-1Ra), granulocyte–macrophage colony-stimulating factor (GM-CSF), CXCL-1, and IL-10 in the supernatant were measured by enzyme-linked immunosorbent assay (ELISA). ELISA kits used are listed in Supplementary Table
4.
Flow cytometry analysis
To analyze immune cell infiltration in subcutaneous tumors, tumor tissues were ground into single cells, filtered with a 70-μm cell strainer, and purified by Percoll gradient (Yeasen, Shanghai). Then, ~ 2 × 10
6 cells were washed with PBS and stained with antibodies and Fc blocker (BioLegend) for 30 min on ice. For Foxp3 staining in Treg cells, cells were permeabilized with 0.1% Triton X-100 and stained with antibody for 90 min. To stain cytokines in the cytoplasm, cells were stimulated with phorbol myristate acetate (PMA; 10 ng/mL) and ionomycin (1 μg/mL) and blocked by brefeldin A (1 μg/mL) for 4 h and stained with surface marker antibodies for 30 min. Cells were fixed, incubated with 0.2% saponin buffer for 20 min, and stained with cytokine antibodies for 30 min. Samples were analyzed with a Fortessa flow cytometer (BD), and data were analyzed with FlowJo V10.6. Antibodies used for flow cytometry are listed in Supplementary Table
4.
Coculture assay and CD8+ T cell stimulation
A total of 1 × 106 macrophages cells (stimulated by 100 μg/mL PMA for 24 h in THP-1 cells) were seeded in the lower chamber of six-well Transwell chambers (Corning, USA), and 5 × 105 LUAD cells were seeded in the upper chamber. After 48 h, the supernatant and macrophages were collected for further analysis. After isolation of CD8+T cells from healthy donors by using anti-CD8 immunomagnetic beads, cells were stimulated with anti-CD3 (10 μg/mL), anti-CD28 (1.5 μg/mL), and IL-2 (200 U/mL) and cultured with supernatant from the coculture system for 48 h. The proliferation of CD8+ T cells was detected by CFSE according to the manufacturer’s protocol (biolegend, USA) and analyzed by the flow cytometry.
Coimmunoprecipitation (Co-IP)
To evaluate interactions between FXR1 and TRIM56, THP-1 cells were lysed with co-IP buffer supplemented with proteinase, RNase, and phosphatase inhibitors and centrifuged at 12,000 rpm for 15 min. The supernatant was incubated with the beads, which were incubated with FXR1 antibody. After 12 h, beads were washed with lysis buffer, mixed with sodium dodecyl sulfate (SDS) loading buffer, and analyzed by Western blotting.
RNA pulldown
The RNA pulldown assay was performed with an RNA antisense purification kit from BersinBio (Guangzhou, China). Briefly, a total of 2 × 107 cells were lysed with lysis buffer supplemented with proteinase and RNase inhibitor and centrifuged at 16,000 × g for 10 min. The supernatant was incubated with 40 pmol of biotinylated circZNF451 probe for 3 h at 37℃. Twenty microliters of streptavidin beads were washed and hybridized with the supernatant for 30 min at room temperature. Enriched proteins bound to beads were eluted and used for mass spectrometry and western blotting.
RNA immunoprecipitation (RIP)
RIP was performed using a Magna RIP kit (Millipore, USA) according to the manufacturer’s protocol. A total of 10 [
7] cells were fixed, lysed, and centrifuged, and the supernatant was hybridized with the streptavidin beads for 12 h. RNA was eluted from the beads, and qRT-PCR was performed.
Chromatin immunoprecipitation (ChIP)
Cells (6 × 106) were cross-linked with 1% formaldehyde for 10 min and quenched with 0.2 g of glycine. ChIP was performed with a SimpleChIP Plus sonication chromatin IP kit (Cell Signaling Technology, USA) according to the manufacturer’s protocol. The mixture was digested, and DNA was sonicated into 200- to 800-base pair (bp) fragments. After incubation with ELF4 antibody (Santa Cruz, USA) for 12 h, the DNA–protein complexes were purified with magnetic beads, and eluted DNA was analyzed by qRT-PCR.
Luciferase reporter assay
Wild-type (WT) and mutant IRF4 promoters were copied into pEZX-FR01 and cotransfected into HEK293T cells with the ELF4 overexpression plasmid. After 48 h, cells were lysed, and a luciferase reporter assay kit (Promega, USA) was used to measure Renilla and firefly luciferase activity.
In vivo experiments
C57BL/6 J mice were obtained from the Vital River (Beijing, China). C57BL/6-Lyz2
CreERT2 and C57BL/6 J-ELF4
em1(flox)Smoc mice were constructed by the Shanghai Model Organisms Center (Shanghai, China). A total of forty-five mice were used in this study and each group contained five ones. The mice were fed in a pathogen-free environment. Before the subcutaneous implantation of LLC cells or sacrifice, the mice were anesthetized by 1% Pentobarbital sodium (80 mg/kg). Mice with conditional knockout of ELF4 in macrophages were constructed by C57BL/6-Lyz2
CreERT2 × C57BL/6 J-ELF4
em1(flox)Smoc cross. ELF4 knockout in macrophages was performed by tamoxifen administration (2 mg/mouse) for 5 days. The subcutaneous xenograft model is detailed in the
Supplementary Methods.
Statistical methods
SPSS 23.0 (IBM, USA) and GraphPad Prism 8.0 were used to analyze statistical differences. The clinical characteristics were analyzed by chi-squared tests. Differences between two groups were analyzed by Student’s t test, and Spearman correlation analysis was performed to determine correlation coefficients. For three groups or more, the one-way ANOVA test was used to compare the difference between groups. Univariate and multivariate Cox regression analysis was applied to find the independent risk factors for LUAD prognosis. Kaplan–Meier and log-rank tests were used to compare survival in different groups. A P value of < 0.05 was regarded as statistically significant; *P < 0.05; **P < 0.01; ***P < 0.001.
Discussion
Exosomal circRNAs facilitate growth, metastasis, and drug resistance of cancers and can serve as a prognostic marker for patients. Cross-talk between tumors and immune cells via exosomal circRNAs also elicits reprogramming of TME immune status, which leads to immune evasion and resistance to immunotherapy [
23]. Here, the circRNA sequencing was performed on the peripheral blood of six LUAD patients receiving PD1 blockade treatment. And to explore the enrichment profiles of circRNAs in exosomes, we identified significant enrichment of circZNF451 in the exosomes of PD patients compared with in PR patients, and expression was highly consistent with that observed in tumor tissues. Further analysis showed upregulation of circZNF451 in LUAD and highlighted its potential as a biomarker for poor LUAD prognosis. Moreover, circZNF451 interacts with FXR1 and TRIM56, forming the FXR1–circZNF451–TRIM56 complex in macrophages to facilitate degradation of FXR1 and further activation of the ELF4–IRF4 pathway, which induced M2 polarization of macrophages and the immune-suppressed TME. Thus, our study identified a new biomarker for the efficacy of immunotherapy in LUAD patients.
The biogenesis of circRNA is mediated by many factors including the splicing factors, specific enzymes, cis-acting elements and transcription factors [
24], which collectively contributed to the differentially expression of circZNF451 and the discrepancy on the enrichment of circZNF451 in the exosomes among different cell lines.
CircRNAs have various mechanisms in cancer. Competing endogenous RNAs (ceRNAs) can bind miRNAs and further suppress their binding with mRNAs. CeRNAs can also modulate transcription, serve as a template for translation, and interact with proteins, including RBPs, to form circRNA–protein complexes [
25]. RBPs are a group of proteins involved in transcription and translation, and circRNAs can elicit RBP degradation via the proteasome to regulate malignant properties and immune resistance [
26,
27]. However, previous studies focused mainly on circRNA–RBP interactions in tumor cells, and investigation of this mechanism in the TME in LUAD was still limited. We identified that exosomal circZNF451 can act as a scaffold to induce FXR1 degradation via TRIM56-mediated ubiquitin activity in macrophages. Furthermore, circZNF451 is indispensable for the interaction between FXR1 and TRIM56 in that ubiquitination by TRIM56 relied on RNA-binding activity in its C terminus. Degradation of FXR1 further activated the transcription factor ELF4, induced the anti-inflammatory immune phenotype of macrophages, and reset the immune-suppressed TME, suggesting that this novel circRNA–RBP complex in macrophages may contribute to immunotherapy resistance in LUAD.
The TME, which changes during tumor growth, contains complicated cellular components, such as stromal cells, endothelial cells, and various immune subgroups. Interactions within these components reshape the malignant properties of tumor cells, and exosomes have critical roles in facilitating communication between tumor cells and these components [
28]. Thus, exosomes contribute to modulation of the TME and represent a novel target for the enhancement of antitumor immunity in immune cells. Exosomal circRNAs in the TME regulate the immune response in diverse immune cells, including macrophages, lymphocytes, and NK cells, foster the immune-suppressed TME for the progression of cancers, and could also modulate drug resistance, including to chemotherapy, radiation, targeted therapy, and immunotherapy, via the miRNA–mRNA axis or interaction with proteins [
10]. In this study, PD patients receiving PD1 blockade therapy had high enrichment of circZNF451 in exosomes. Exosomal circZNF451 could induce the anti-inflammatory phenotype of macrophages via interactions with FXR1 and foster the immunosuppressed TME to enhance resistance to immunotherapy. Thus, our study provides a potential target to modulate drug resistance in LUAD patients.
The transcription factor ELF4 can regulate the development and cytotoxic cytokine expression of NK and CD8
+ T cells, the type I IFN response, activation of housekeeping genes in macrophages, and differentiation of CD4
+ T cells to the T helper 17 cell subgroup, highlighting the importance of ELF4 in innate and adaptive immunity [
29]. ELF4 is a mediator of anti-inflammatory responses and protects against mucosal disease in human inflammatory bowel disease [
19]. We identified the impacts of ELF4 on macrophage inflammatory responses, which could enhance the anti-inflammatory immune phenotype and induce M2 polarization of macrophages. We also illustrated that activation of ELF4 is dependent on degradation of upstream FXR1 by the circZNF451–TRIM56 complex.
IRF4 mediates M2 polarization of macrophages, and activation of IRF4 via mTORC2 leads to metabolic reprogramming, which is indispensable for M2 activation [
30]. Demethylation of H3K27 mediated by Jmjd3 is essential for activation of the expression of IRF4, resulting in M2 macrophage polarization [
31]. Here, we analyzed ChIP data from a previously published study and demonstrated that ELF4 can bind to the promoter region of IRF4, which enhanced IRF4 transcription. We also found that conditional knockout of ELF4 in macrophages rescued the immunosuppressive TME and abrogated resistance to immunotherapy. Thus, our study provides a novel target that regulates the transcriptional activity of IRF4 in macrophages and a new strategy for enhancing immunotherapy efficacy in a subgroup of LUAD patients.
The in vivo results identified that conditional knockout of ELF4 in macrophages enhanced the efficacy of PD1 blockade in LUAD with the enhanced infiltration of CD8+ T cells and exhausted M2 macrophages. Although the PD1 monotherapy could not influence the infiltration of CD8+ T cells and M2 macrophages, the flow cytometry results suggested that the cytotoxic function of CD8+ T cells was partially improved with the increased secretion of IFN-γ and GZMB. In this study, we observed that M2 macrophages could impede the proliferation of CD8+T cells in vitro, which might account for this phenomenon.
This study also has some limitations. First, we mainly focused on the impactions and mechanisms of circZNF451 on the TME, the influence of circZNF451 on the biological functions of tumor cells was still absent. Secondly, this study uncovered the role of exosomal circZNF451 in the immunotherapy in preclinical models and only ten LUAD patients accepting the PD1 blockade were included for further validation. Thus, larger clinical samples with PD1 immunotherapy are necessary to further validate the role of exosomal circZNF451 in the resistance to immunotherapy. Finally, the commercial inhibitors on ELF4 or IRF4 are still unavailable, which limits further investigation on the dual-blockade strategy in advanced LUAD patients with high expression of circZNF451.
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