Introduction
Lung cancer (LC) incidence has been continuously increasing for the past few years worldwide [
1]. According to the latest data on cancer statistics, approximately 700,000 new cases of LC occurred in 2015, and LC has become the leading cause of cancer-related mortality in China [
2]. Non-small cell lung cancer (NSCLC) accounts for 85% of all cases of LC, and lung adenocarcinoma (LUAD) is the most common histological type of NSCLC, accounting for nearly 40% of all LC-related deaths [
3,
4]. Despite significant improvements in LUAD treatment, including surgery, chemotherapy, radiotherapy, and especially targeted therapy, the overall survival (OS) of LUAD is still frustrating. `The 5-year survival rate of patients with LUAD is less than 30% when it is treated in an early stage, and the OS rate decreases in patients with advanced LUAD because of its highly aggressive and metastatic characteristics [
5,
6]. Therefore, it is of tremendous importance to develop novel therapeutic strategies for patients with LUAD.
Adoptive immunotherapy has been proven to have enormous potential in cancer treatment. In particular, chimeric antigen receptor-engineered T (CAR-T) cells have demonstrated antitumor activity, especially for hematological malignancies such as leukemia and lymphomas [
7,
8]. For solid tumors, CAR-T therapy has also made progress, including in colorectal cancer [
9], breast cancer [
10], thyroid cancer [
11], and head and neck cancer [
12]. Although Feng et al. reported that targeting epidermal growth factor receptor (EGFR) in a clinical trial showed a good response in EGFR-expressing advanced relapsed/refractory NSCLC, and Li et al. described that CAR-glypican 3 T cells displayed promising therapeutic effectiveness for the treatment of patients with lung squamous cell carcinoma, research regarding LUAD is still limited. One of the most substantial impediments for the development of CAR-T therapy for solid tumors is the identification of tumor antigens. Currently, most tumor-associated antigens (TAAs) that are utilized as targets for CAR-T therapy are not tumor-specific, which means that they are expressed in both malignant and normal tissues [
13]. A number of strategies have been developed to increase the controllability of CAR-T cells to minimize the on-target/off-tumor toxicities and typical side effects, such as cytokine release syndrome [
14,
15]. Hence, for LUAD treatment, screening and identifying appropriate TAAs are essential steps.
Cancer/testis antigens (CTAs) constitute a type of special tumor antigen that is physiologically expressed in the germ cells of the testes as well as in a variety of malignant tumors but not in normal tissues [
16]. Due to their unique immunogenic nature, CTAs are well known as ideal targets for cancer immunotherapy [
17,
18]. However, the results of several clinical trials of therapeutic anticancer vaccines targeting CTAs were unsatisfactory [
19‐
21]. Failures in clinical experiments clearly show the great importance of identifying appropriate and dependable CTAs to be used in the development of novel cancer immunotherapy strategies in the future, especially for CAR-T therapy because the tumor-limited expression of CTAs makes them the prime candidates for TAA selection. Previously, we described 876 CTA expression patterns in 19 cancer types by performing a comprehensive and multiplatform analysis through several publicly accessible databases [
22].
In the present study, a rational CTA, MAGE-A1, for LUAD was screened after searching a database and conducting bioinformatics analyses. Then, phenotypic experiments were performed to verify the rationality of MAGE-A1 as an appropriate target for LUAD treatment. Moreover, a novel MAGE-A1-CAR-T cell (mCART) was constructed, and its anti-tumor effectiveness in vitro and in vivo was investigated.
Materials and methods
From the CTA database in our previous study [
22], we retrieved LUAD-related data and screened candidate CTAs by score ranking (normalized expression > 3%). Then, we searched the GTEx Portal database (
https://www.gtexportal.org) to further identify appropriate CTAs that are only expressed in testes and not in normal tissues. Next, we inspected the GeneCard database (
http://www.genecards.org) to filter suitable CTAs that are expressed in the cytomembranes of cancer cells (expression confidence > 3). Moreover, we employed The Cancer Genome Atlas (TCGA) data (
https://cancergenome.nih.gov) to validate the RNA expression levels of eligible CTAs in LUAD tissues and corresponding noncancerous tissues (expression fold change > 10). Finally, we checked the Human Protein Atlas database (
http://www.proteinatlas.org) to ensure CTA protein expression in LC.
Tissue sample collection
A tissue microarray (TMA) containing 90 cases of normal human tissue samples was purchased from Outdo Biotech Co., Ltd. (Shanghai, China). Simultaneously, five LUAD tissue samples and corresponding non-cancerous tissue samples were collected from the Department of Thoracic Surgery, Nanjing Medical University Affiliated Cancer Hospital. A TMA containing 93 cases of LUAD was also purchased from Outdo Biotech Co., Ltd. (Shanghai, China) [
23]. Important clinical parameters were collected along with the LUAD TMA. Written informed consent was obtained from the patients for the publication of this study and the use of any accompanying images. The study protocol was approved by the Ethics Committee of Nanjing Medical University Affiliated Cancer Hospital, and all experiments were performed following the approved guidelines of Nanjing Medical University.
Cell lines and reagents
Four LUAD cell lines (PC9, H1299, GLC82, A549) and the human embryonic kidney 293T cell line (HEK-293T) were preserved in our lab and enrolled in the present study. The human melanoma A375 cell line was purchased from the Cell Bank of the Chinese Academy of Sciences (Shanghai, China). The human normal bronchial epithelial (HBE) cell line was kindly provided by Professor. Erbao Zhang from the Department of Epidemiology and Biostatistics, Nanjing Medical University, to serve as the non-cancerous cell line. Peripheral blood mononuclear cells (PBMCs) derived from a healthy donor were collected by Ficoll-Hypaque density-gradient centrifugation conducted by the Jiangsu Blood Center. Medium with recombinant human interleukin-2 (IL-2) 300 U/ml was used for the expansion of T cells.
One-step qPCR, western blotting, immunofluorescence, and immunohistochemistry analyses
MAGE-A1 expression was thoroughly examined in LUAD cell lines and tissue samples. For the qPCR, the sequences of the primers are listed in Additional file
7: Table S2. For the western blotting analysis, two types of primary monoclonal antibodies were obtained from Abcam (ab193330, ab243935, Abcam, Cambridge, MA, USA). The protocols of the qPCR test and western blotting analysis were described previously [
24,
25]. The immunofluorescence test was conducted following the protocols described in our previous study [
26]. Cells were incubated with FITC-labeled human anti-MAGE-A1 antibody (Abcam, ab212590) in the dark. 4′-6-diamidino-2-phenylindole (DAPI, Biotium, Hayward, CA) was used for nuclear staining. The ubiquitous Desmoglein 2 (DSG-2) was employed as a positive control (Abcam, ab150372). Immunohistochemistry (IHC) analysis was performed as previously described [
27,
28]. TMA sections were incubated with mouse monoclonal anti-MAGE-A1 antibody (Abcam, ab193330). The secondary antibody used was horseradish peroxidase-conjugated anti-mouse antibody. Phosphate-buffered saline (PBS) was used as a negative control.
Plasmid construction, lentivirus packaging, and infection
The overexpression and short-hairpin RNA (shRNA)-mediated knockdown lentivirus plasmids and packaging vectors were prepared as previously described [
29]. Full-length MAGE-A1 was inserted into the lentivirus pLenti-EF1a-EGFP-P2A-Puro-CMV-MCS vector (Obio Technology, Co., Ltd., Shanghai, China). The detailed sequences of the three shRNAs and related siRNAs used in this study are listed in Additional file
7: Table S2. shRNA targeting MAGE-A1 (shMAGE) or scrambled shRNA (shCT) were cloned into pLKD-CMV-G&PR-U6-shRNA (Obio Technology). PC9 cells were then infected with MAGE-A1 overexpression (OEMAGE) or shMAGE viruses. After viral transfection, MAGE-A1 expression was evaluated by qPCR and western blotting analyses. Then, stable OEMAGE and shMAGE PC9 cell lines were confirmed by puromycin selection and prepared for further experiments.
Cell proliferation, migration, and invasion assays
CCK-8, wound healing, and Transwell assays were performed in OEMAGE and shMAGE PC9 cell lines, respectively, to detect the malignant behaviors of MAGE-A1 in LUAD, including its effects on cell proliferation, cell migration, and cell invasion, as described before [
30].
Tumor growth assay in mice
Athymic 4-week-old BALB/c nude mice were purchased from SLAC Laboratory Animal Co., Ltd. (Shanghai, China) and kept under specific pathogen-free (SPF) conditions. In brief, 1.0 × 10
7 PC9 (OEMAGE and shMAGE) cells were injected into nude mice subcutaneously. After inoculation, the tumor-bearing mice were observed, and tumor size was measured with a Vernier caliper. The subsequent procedures of the tumor growth assay in mice were described previously [
26].
mCAR construction
The MAGE-A1-CAR (mCAR) was designed to consist of a human CD8α leader, anti-MAGE-A1-scFv, CD8α hinge and transmembrane domain (CD8™), and CD137 and CD3ζ cytoplasmic domains [
31,
32]. The anti-MAGE-A1 scFv was determined in our previous study [
33], and the detailed amino acid sequence is shown in Additional file
8: Table S3. The fragments encoding the CD8α leader, anti-MAGE-A1 scFv, CD8™, and CD137-CD3ζ were produced by PCR and cloned into the EcoRI and XbaI sites of the lentiviral expression vector pLVX-IRES-ZsGreen (Clontech, USA). All positive clones were confirmed by sequencing analysis.
Lentivirus production
For lentivirus production, HEK-293T cells were co-transfected with mCAR vector, pMD2.G plasmid (Invitrogen, Carlsbad, CA, USA) and packaging psPAX2 plasmid (Invitrogen). Supernatants containing the lentivirus were collected 48 h and 72 h later. After filtration through a 0.45-μm filter, the lentivirus supernatant was concentrated 30-fold by ultracentrifugation (Amicon Ultra 100 kD, Millipore, USA). 293T cells transfected with CD19-CAR (unrelated-CAR) and untransfected 293T cells (blank) were employed as controls. Then, CD3ζ was selected as the target to test mCAR expression after 293T cell transfection by western blotting analysis.
Sandwich ELISA assay
A sandwich ELISA was performed to evaluate the binding ability of mCAR to MAGE-A1 as described before [
34]. Briefly, 96-well plates were seeded with transfected 293T cells (mCAR and unrelated-CAR). Untransfected 293T cells (blank) were used as a negative control. Then, each well was washed and MAGE-A1 antigens were added (Novus Biologicals, Littleton, CO, USA) at different dilutions. Then, the supernatants were collected and added to another 96-well plate, which was preliminarily coated with anti-MAGE-A1 rabbit polyclonal antibody (LS-C327797-200, LifeSpan BioSciences, Seattle, WA, USA), followed by the addition of a primary anti-MAGE-A1 mouse monoclonal antibody (LS-C25368-100, LifeSpan BioSciences) and a secondary anti-mouse antibody. After washing, the optical density at 450 nm (OD450) was measured with an automatic microplate reader (Thermo Fisher Scientific, USA). The supernatant lentivirus titers were detected following the protocol described previously [
35,
36].
T cell collection and mCART preparation
PBMCs were separated from 10 mL of peripheral blood from a healthy volunteer using lymphocyte separation medium. PBMCs were activated in 24-well plates coated with anti-human CD3 (Life Technologies, Mountain View, CA, USA) and anti-human CD28 antibodies (Life Technologies) at day 0. After 48 h, IL-2 (300 U/mL) was added to stimulate the expansion of the T cells. After 72 h, T cells were transfected with the mCAR lentivirus. Unrelated-CART and control T cells (T) served as controls. At day 7, all T cells were harvested, and the details of the mCART activity and characteristics were examined by flow cytometry. Briefly, the transfection efficiency of T cells expressing CAR was tested by direct GFP (ZsGreen) fluorescence and MAGE-A1-PE staining. Phenotypic characterization and activation of the T cells were determined by staining with CD3, CD4, and CD8. Flow cytometry was performed on a BD FACSCelesta flow cytometer. Data were graphed using FlowJo 7.6 software (Ashland, OR, USA).
Detection of the anti-tumor effectiveness of mCART in vitro
Antitumor activity was quantified by LDH release assay, as described previously [
37]. mCART, unrelated-CART, and T were co-cultured with LUAD cell lines (H1299, PC9, PC9(sh)) at different ratios (20:1, 10:1, 5:1, 2:1). Then, mCART was co-cultured with different LUAD cell lines (PC9, H1299, GLC82, A549) at a fixed ratio (10:1). The HBE cell line was employed as a control. Unrelated-CART representsCD19-CAR-T cells that are produced and preserved in our lab. The supernatant was analyzed for IFN-γ and IL-2 production using the related ELISA assay kits (eBioscience, San Diego, CA, USA) following the manufacturer’s protocols.
Detection of the anti-tumor effectiveness of mCART in vivo
Athymic BALB/c nude mice were purchased from SLAC. For LUAD xenograft model establishment and bioluminescent imaging of in vivo tumors, mice were injected with luciferase-expressing H1299 cells with matrix. After inoculation, mice were divided randomly into three groups (mCART group, unrelated-CART group, T group). Treatment was initiated when the xenografts reached volumes of approximately 100 mm
3, and mice underwent fully myeloablative radiation. On days 0, 3, and 6, mice received intravenous treatment with mCART (1 × 10
7), unrelated-CART and T cells. The tumor diameter was measured, and the tumor volume was calculated as described previously [
26]. For bioluminescent imaging, mice were injected intraperitoneally with D-luciferin (Gold Biotechnology, St. Louis, MO, USA), and images were recorded on days 2, 5, 8, 13, and 20 by utilizing an IVIS Lumina II (PerkinElmer, Hopkinton, MA, USA). On day 27, all mice were killed, and the xenograft tumors were removed for further analysis. Specifically, CD3 expression was detected by IHC analysis using a primary rabbit monoclonal antibody (Abcam, ab16669). The detailed protocol of IHC analysis was described previously.
Discussion
Notwithstanding the noteworthy success of CAR-T cells for the treatment of hematologic malignancies, the efficacy of CAR-T cells in the treatment of solid tumors is less effective due to obstacles and limitations, such as off-target and off-tumor toxicity, incompetence of infiltration and persistence, and immunosuppression in the tumor microenvironment [
38]. Further development of CAR-T therapy in solid tumors needs to overcome many impediments. First and foremost, identifying a suitable target antigen is one of the greatest challenges in the development of CAR-T therapy for solid tumors [
39]. Given the exceptional properties of CTAs, it is logical to look for an appropriate antigen from among the CTAs for CAR-T therapy. Based on previous research [
22], we searched the CTA database for those related to LUAD. After a sequence of bioinformatics analyses, we successfully identified an appropriate target antigen, MAGE-A1, from among 876 possible CTAs.
As a member of the MAGE-A antigens, which are the best characterized CTAs, MAGE-A1 is also strictly tumor-specific and is detected in various solid tumors [
40‐
42]. Although MAGE-A1 expression in LC has also been reported [
43‐
45], the detailed and exclusive function of MAGE-A1 in LUAD remains unclear. After MAGE-A1 was screened as the most promising candidate by the aforementioned bioinformatics analyses, a set of investigations was performed to thoroughly examine the characteristics of MAGE-A1 in LUAD. In LUAD cell lines, differential MAGE-A1 expression was detected by qPCR and western blotting tests, and positive staining of MAGE-A1 was witnessed in the cytomembrane by immunofluorescence test. Then IHC analysis in normal human TMA described that MAGE-A1 was dominantly expressed in human testis, not in other human tissues. In LUAD tissue samples, elevated MAGE-A1 expression was also observed and IHC analysis in LUAD TMA further demonstrated that positive MAGE-A1 expression in LUAD was correlated with certain clinical-pathologic characteristics, including tumor diameter and N status. The survival analysis revealed that a high level of MAGE-A1 expression was correlated with unfavorable outcomes of LUAD. All the above data concurred with the studies that showed high expression levels and a prognostic role of MAGE-A1 in LUAD [
43,
45,
46].
Although the tumor-promoting activities of MAGE-A1 have been reported in melanoma, possibly due to the activation of the p-C-JUN or ERK-MAPK signaling pathways [
47,
48], the biological functions of MAGE-A1 in LUAD have not been fully investigated. Hence, the OEMAGE and shMAGE models in PC9 cells were generated to investigate the malignant behaviors of MAGE-A1 in LUAD. In vitro, the results revealed that OEMAGE significantly increased cell proliferation, migration, and invasion. Conversely, shMAGE critically inhibited cell proliferation, migration, and invasion. In vivo, OEMAGE radically increased the tumor burden, while shMAGE considerably reduced tumor growth. The above data demonstrate that MAGE-A1 expression is functionally important for LUAD development, which is in line with previous studies that described a prominent role played by MAGEs in driving tumorigenesis and progression in LUAD [
49‐
51].
Previously, we produced a human anti-MAGE-A1 scFv and synthesized an immunotoxin [
33]. To confirm the legitimacy and suitability of MAGE-A1 as a target antigen for LUAD treatment, we tried to construct a mCAR by adopting the anti-MAGE-A1 scFv and fusing it with CD8α leader, CD8™ and CD137-CD3ζ co-stimulatory domains. The results showed that mCAR was successfully generated and functionally expressed. Then, T cells were collected from a healthy donor, activated by CD3/CD28, expanded by IL-2 and transfected by mCAR lentivirus to produce mCART, which showed high transfection efficiencies and appropriate characteristics. Then, the cytotoxic activity of mCART was evaluated. The LDH results showed that mCART exerted significant cell-lysis activity for MAGE-A1-positive LUAD cells in a dose-dependent manner, accompanied by the release of IFN-γ and IL-2. Our data largely agree with a study reported by Thivyan et al., which illustrated that IFN-γ production could be detected in a positive c-Met expression mesothelioma cell line when it was treated with MET-specific CAR-T [
52]. The in vitro results strongly implied that mCART can be activated and expanded in the presence of MAGE-A1-positive LUAD cells and that mCART could specifically destroy LUAD cells by secreting IFN-γ. The cytotoxic effectiveness was improved by increasing the effector to target (E:T) ratio. Moreover, the in vivo experiment thoroughly proved that the tumor-inhibitory competence of mCART for the tumor burdens of mice treated with mCART was much lower than that of mice administered unrelated-CART or T cells and the infiltration ability of mCART into xenograft tumors was also observed.
To date, numerous targets for CAR-T therapy in NSCLC have been evaluated, including EGFR, HER2, MSLN, GPC3, EpCAM, and MUC1 [
53]. Nevertheless, MAGEs as targets for CAR-T therapy in LUAD are rare, and prior studies have paid more attention to antitumor vaccines. For instance, MAGE-A3 was once believed to be a potential target in cancer immunotherapy, and a clinical trial demonstrated a promising benefit [
54]. The latest research provided negative information regarding MAGE-A3 as the immunotherapeutic adjuvant because it failed to improve the survival of patients with NSCLC [
21]. More interestingly, MAGE-A3 was described by an influential study to be essential for cancer cell survival and was shown to play important roles in inducing oncogenic features in noncancerous cells [
55]. Therefore, exploration of MAGEs should not be abandoned, and alternative therapeutic strategies should be considered. In the present study, we introduced MAGE-A1 into the CAR-T field and demonstrated the practicability of developing mCART for LUAD treatment.
Intriguingly, a recent study reported a negative attribute of MAGE-A1, showing that it exerted a suppressive, rather than a stimulative role in breast and ovarian cancers. The major reason for this inconsistency is largely due to the disparity of cancer types, which could interfere with the function of c-JUN, FBXW7, and NICD1 and result in the apparently contradictory properties of MAGE-A1 in cancers [
56,
57]. Despite this discrepancy, the dominant role of MAGE-A1 in the carcinogenesis of LUAD is well acknowledged, indicating that the scheme for the use of mCART in LUAD treatment is reasonable and convincing.
There are several issues we need to address. We did not employ NSG mice but rather chose athymic nude mice for the in vivo test. Although athymic nude mice are acceptable [
10], the optimized and prevailing preclinical model for evaluating CAR-T cells is NSG mice [
58]. Moreover, the side effects of mCART in mice were not thoroughly evaluated, such as the injury of important viscera, the potential toxicity to testis, and the release of serum cytokines. In addition, we kept the mice for only 1 month and therefore failed to provide survival data for the mice and data regarding the persistence of mCART. In comparison, Ruella et al. raised the NSG mice for over 8 months so the prognosis of mice and even the long-term immunological memory effect induced by CAR-T cells could be explored [
59]. Above all, the mechanism of mCART in LUAD was not elucidated by the present study. For example, immunosuppressive factors in the tumor microenvironment (TME) seem to be a substantial challenge for CAR-T therapy in solid tumors. We need to further inspect how mCART affects the LUAD TME, including checkpoint pathways, cytokines, and other byproducts. In fact, research is ongoing to ameliorate therapeutic effectiveness and to investigate the mechanism of action of mCART in LUAD by our research group. The strategies include the design of dual targeting mCART to enhance tumor antigen recognition, the utilization of cytokine co-expression to improve the survival and infiltrating capacities of mCART, the development of combination therapy with checkpoint inhibitors to boost mCART performance by counteracting immunoevasion, and the construction of hu-CD34-NSG™ and PDX mice models to mimic human TME for mCART mechanism research [
60‐
65].
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