Literature DB >> 36157487

PGRN exacerbates the progression of non-small cell lung cancer via PI3K/AKT/Bcl-2 antiapoptotic signaling.

Sicheng Chen1, Mengjun Bie1, Xiaowen Wang1, Mengtian Fan2, Bin Chen2, Qiong Shi2, Yingjiu Jiang1.   

Abstract

Progranulin (PGRN) is a growth factor that is involved in the progression of multiple tumors. However, the effects and molecular mechanisms by which PGRN induces lung cancer remain unclear. The expression level of PGRN was analyzed by conducting immunohistochemistry of the histological sections of lung tissues from non-small-cell lung carcinoma (NSCLC) patients. The proliferation, apoptosis, migration, and invasion of NSCLC cells were assessed by the MTT assay, Western blot, degree of wound healing, and Transwell assays. A nude mouse xenograft model was used to validate the role of PGRN in vivo. The expression level of PGRN was higher in male patients with lung adenocarcinoma than in those with lung squamous cell carcinoma; by contrast, no difference was observed in female patients. The overexpression of PGRN promoted the proliferation and anti-apoptosis of H520 (derived from lung squamous cell carcinoma) cells, whereas knockdown of PGRN inhibited the proliferation and anti-apoptosis of A549 (derived from lung adenocarcinoma) cells. Copanlisib (targeting PI3K) inhibited the increase in the expression of cell anti-apoptosis marker Bcl-2 induced by rhPGRN protein; the PI3K agonist 740 Y-P partially reversed the decrease in Bcl-2 expression induced by PGRN deficiency in both A549 and H520 cells. PGRN increased the expression of Ki-67, PCNA, and Bcl-2 in vivo. PGRN inhibited cell apoptosis depending on the PI3K/Akt/Bcl-2 signaling axis; PGRN positivity correlated with lung adenocarcinoma. PGRN is a potential biomarker for the treatment and diagnosis of NSCLC, especially in lung adenocarcinoma.
© 2021 Chongqing Medical University. Production and hosting by Elsevier B.V.

Entities:  

Keywords:  Ad, Adenovirus; Bcl-2; Cell apoptosis; DMSO, Dimethyl sulfoxide; FBS, Fetal Bovine Serum; IHC, immunohistochemistry; MTT, 3-(4,5-dimethyl-2-thiazolyl)-2,5-diphenyl-2-H-tetrazolium bromide; NSCLC; NSCLC, Non-small cell lung cancer; PBS, phosphate buffer saline; PGRN; PI3K/Akt

Year:  2021        PMID: 36157487      PMCID: PMC9485207          DOI: 10.1016/j.gendis.2021.05.005

Source DB:  PubMed          Journal:  Genes Dis        ISSN: 2352-3042


Introduction

Lung cancer, which causes approximately 1.6 million deaths every year, has become the leading cause of cancer-related deaths worldwide. Non-small cell lung cancer (NSCLC) accounts for 85% in lung cancer cases. Due to the lack of disease-associated symptoms, most patients first diagnosed with NSCLC have already progressed to an advanced stage and have a low 5-year survival rate. Exploring novel molecular targets for the treatment and diagnosis of this condition will improve the 5-year survival rate and quality of life of patients with NSCLC. Progranulin (PGRN) is a secreted growth factor with high glycosylation and is involved in multiple biological processes in the human body, including early embryogenesis, neurodegenerative, tissue healing, inflammation and host defense, cartilage development and degradation. PGRN regulates the proliferation, invasion, and metastasis of tumor cells., Progranulin has become a prognostic indicator and treatment target for a variety of tumors.12, 13, 14, 15, 16, 17 In colorectal cancer, the transcriptional activity of PGRN can be regulated by lncRNA H19, miR-29b, and combined with the Wnt signaling pathway to promote endothelial–mesenchymal transition. PGRN also increases the phosphorylation of Akt and Erk to promote the proliferation and angiogenesis of tumors., In cholangiocarcinoma, progranulin regulates cell proliferation, apoptosis and invasion through PI3K/Akt pathway. In bladder cancer, PGRN regulates the remodeling of the actin cytoskeleton by interacting with the actin-binding protein drebrin, which regulates tumor growth and promotes tumor cell movement and invasion. As a potential interacting factor of PSCA, PGRN enhances the adhesion of prostate cancer cells to BMEC through the NF-κB/integrin-α4 pathway to promote the metastasis of prostate cancer. PGRN also promoted the PD-L1 expression in tumor-associated macrophages (TAMs), which helps tumor cells to escape the immune system against CD8+ T cells. Another study demonstrated that PGRN promotes the progression of melanoma by inhibiting the recruitment of natural killer cells to the tumor microenvironment. Yue et al demonstrated that PGRN enhances MiR-5100 expression in TAMs, and this inhibits the CXCL12/CXCR4 axis by decreasing the CXCL12 expression in breast cancer cells. Moreover, PGRN enhances unanchored cell growth and metastasis by upregulating the VEGF in breast cancer. Nielsen et al proved that metastasis-related macrophage-secreted PGRN transforms the resident hepatic stellate cell into myofibroblasts, which secrete periosteal protein, sustaining a fibrotic microenvironment necessary for tumor cell growth and metastasis. The expression of PGRN is not correlated with the progression of ovarian cancer, but high expression of PGRN correlates with a low overall survival rate in patients with advanced ovarian cancer. As mentioned earlier, PGRN is widely involved in the tumorigenesis and development of epithelial tissue-derived tumors, including breast tumors, ovarian cancer, and colorectal carcinoma. Lung cancer with the highest global incidence is also an epithelial-derived tumor, but the role of PGRN in the development of lung cancer remains unclear. Here, we demonstrated that PGRN expression was higher in male patients with lung adenocarcinoma than in those with lung squamous cell carcinoma. In vivo and in vitro, PGRN promoted tumor proliferation, migration, and invasion, and inhibited the apoptosis of NSCLC cells through the PI3K/Akt/Bcl-2 axis in both A549 and H520 cells. These results may provide a new approach for the diagnosis and treatment of lung cancer.

Materials and methods

Specimens and ethics

Tissue samples were collected from 120 lung cancer patients (male = 78, female = 42) admitted in the Department of Cardiothoracic of the First Affiliated Hospital of Chongqing Medical University from Jan 2017 to Dec 2019. Almost all patients (n = 119) were not treated with antitumor drugs until the specimens were collected. Prior to the collection of all tissue specimens, informed consent was obtained from each patient; the study was approved by the institutional ethics committee of the First Affiliated Hospital of Chongqing Medical University. Female patients were excluded because no significant difference was found.

Immunochemistry

Paraffin sections of tumor tissue were dewaxed, hydrated, and antigen repaired. The sections were then blocked with normal goat serum for 30 min, incubated with primary antibody at 4 °C overnight, and then analyzed using an immunohistochemistry (IHC) kit (Zsbio Technology, Beijing, China). Staining was performed under standardized conditions. The sections were counterstained with hematoxylin, fixed, and covered with glass. Semi-quantitative evaluation of positive staining was performed by two independent pathologists. The staining intensity of sections was rated as follows: +++, strong positive; ++, positive; +, weak positive; and −, negative. Meanwhile, the percentage of positively stained cells was rated as follows: +++: >75%; ++: 50%–74%; +: 25%–49%; and −: <25%. The PGRN expression level (evaluated based on the staining intensity and the percentage of positively stained cells) was scored as 5–6: strong positive; 3–4: positive; and 0–2: negative. The intensity of staining and the percentage of positively stained cells from negative to strong positive were rated as 0, 1, 2, and 3 points, respectively, and the PGRN expression level (IHC SCORE) was determined by adding the two scores above.

Sankey diagram

The Sankey diagram was constructed with R software (https://www.r-project.org/, version 3.6.3) using R packages ggplot2 (https://ggplot2.tidyverse.org/) and ggalluvial (http://corybrunson.github.io/ggalluvial/). The width of each band is proportional to the number of patients.

A549 and H520 cell culture

The human normal bronchial epithelial cell line HBE, lung adenocarcinoma cell line A549, and human lung squamous carcinoma cell line H520 were obtained from the American Type Culture Collection (Manassas, VA, USA). A549 cells were cultured in Dulbecco's Modified Eagle Medium/Nutrient Mixture F-12 (DMEM/F12; Gibco, C11330500BT, USA), while H520 cells were cultured in RM1640 (Gibco, C11875500BT, USA) supplemented with 10% fetal bovine serum (FBS; Gibco, 10099-141, USA) and 1% penicillin/streptomycin (P/S) at 37 °C in a 5% CO2 incubator. MEK inhibitor PD98059 5 μM (MCE, CAS no. 167869-21-8, USA), trametinib 5 nM (MCE, CAS no. 871700-17-3, USA), PI3K inhibitor LY294002 1 μM (MCE, CAS no. 154447-36-6, USA), and copanlisib 10 nM (MCE, CAS no.1032568-63-0, USA) were used to target the PI3K/Akt and MAPK/Erk pathways, and 740Y–P 30 μM (MCE, CAS no. 1236188-16-1, USA) was used to activate PI3K.

Recombinant adenovirus infection

The efficiency of adenovirus infection was observed through a fluorescence microscope. Recombinant adenoviruses were generated using AdEasy technology as described. The siRNA target sites against the human GRN coding region were selected using Dharmacon's siDESIGN program, and the siRNA oligonucleotide pairs were cloned into the pSES adenoviral shuttle vector to generate recombinant adenoviruses. The recombinant adenovirus AdR-siPGRN and negative control AdR-scramble were infected with A549 cells with polybrene (CAS no. 28728-55-4, USA). The used medium was replaced with fresh medium after 8 h.

Plasmid transfection

The coding regions of human GRN were polymerase chain reaction amplified and cloned into a pCMV-Flag plasmid to construct a PGRN overexpression plasmid (PGR group), which was used as a negative control (NC group). The mixture of 1 μg/ml PGRN overexpression plasmid, 1 μl/ml Lipo2000 (Invitrogen, Cat. no. 11668019, California, USA), and 100 μl medium without FBS and penicillin-streptomycin was incubated at room temperature (RT) for 30 min, and then evenly added into the culture dish. The medium was changed to complete medium after 4–6 h. The same amount of negative control plasmid was used to construct the NC group.

siRNA transfection and human recombinant PGRN

The small interfering RNAs targeting PGRN were designed and produced by Ruibo Biotechnology Co., Ltd. A total of 200 μl of basal medium DMEM/F12 in a 1:1 mixture (Gibco, C11330500BT, USA) without P/S was incubated with 8 μl of Lipo2000 (Cat. no. 11668019, Invitrogen, California, USA) and 50 nM of si-PGRN (Guangzhou Ruibo Biological Technology Co., Ltd.) for 5 min. The above two substances were then mixed and added to the medium. Refreshed to medium containing FBS for 6 h. Human recombinant PGRN was purchased from Beijing Sino Biological Co., Ltd. Exactly 800 μg/ml of hrPGRN was added to the medium. The proteins were extracted 36–48 h after all the above treatments.

Western blot assay

Whole-cell lysates were prepared from A549 and H520 cells. The total protein (30 μg) was loaded in a 10% sodium dodecyl sulfate polyacrylamide gel. The proteins were separated by electrophoresis at cold temperatures and then transferred in polyvinylidene fluoride membranes. The membranes were blocked in 10% fat-free milk for 2 h at RT, followed by incubation with a primary antibody at 4 °C overnight (PGRN 1:1000, #AF2420, RD; p-Akt 1:1000, #4060, Cell Signaling Technology; Akt 1:1000, #4685, Cell Signaling Technology; p-Erk 1:1000, #4370, Cell Signaling Technology; Erk 1:1000, #4695, Cell Signaling Technology; PCNA 1:1000, #13110, Cell Signaling Technology; Bcl-2 1:1000, #15071, Cell Signaling Technology; Bax 1:1000, #5023, Cell Signaling Technology; and cyclin D1 1:1,000, #2978, Cell Signaling Technology). The sections were incubated with secondary antibodies (ZsBio Technology, Beijing, China) for 2 h at RT after the previous step. Finally, the blot was exposed to the Bio-Rad Chemi Doc XRS imaging system.

Wound healing assay

A549 and H520 cells were seeded in 100-mm dishes and cultured at 37 °C until the cell density reached 85–90% confluence. The cells were scratched using a small pipette tip and then cells washed at least three times. Photos were taken at 0 h and 48 h to calculate the wound healing rate (wound healing rate = [wound width at 0 h−wound width at 48 h]/wound width at 0 h).

Transwell assay

Cell migration assays were performed using a 6-well Transwell plate. Briefly, 1 × 105 cells were resuspended in 350 μl serum-free medium and seeded into the upper chamber. The 700 μl medium containing 10% FBS was added to the lower chamber as an attractant. After 24 h of incubation, the upper cells were removed with a cotton swab, and the lower cells were fixed with crystal violet for 20 min. The number of cells in the lower chambers was counted. The procedure of Transwell migration was the same as that of Transwell invasion, except that no Matrigel was placed in the upper chamber.

Colony-forming assay

A total of 500 A549 or H520 cells were added to a six-well plate. After 14 days of incubation, the medium was removed, gently washed three times with PBS, and fixed with 4% paraformaldehyde. Then, 300 μL of crystal violet dye solution was added to the wells. The medium was stained for 30 min, washed with PBS at least three times, air-dried, and photographed.

MTT assay

Cell proliferation was assessed using the MTT assay. 1 × 104 cells were seeded on 96-well plates with or without siRNA and plasmid, and the cells were cultured for 24, 48, and 72 h. At the indicated time, 10 μL of MTT (5 mg/ml) was added to each well, and incubation was continued at 37 °C for 4 h. The medium was then removed, and 150 μl of dimethyl sulfoxide (DMSO) was added to dissolve the MTT-formamide crystals. The Thermo Scientific Multiskan FC microplate photometer was used to detect the absorbance of the liquid at a wavelength of 492 nm.

Animal experiment

Animal experiments were performed in accordance with the guidelines established by the Animal Care and Use Committee of the Chongqing Medical University Laboratory Animal Research. The 6-week-old male BALB/c nude mice were purchased from HFK Bioscience Co., Ltd (Beijing, China) and randomly divided into four groups (A549 siPGRN group, n = 5; A549 scramble group, n = 5; H520 PGRN group, n = 5; and H520 NC group, n = 5). A549 or H520 cells (5 × 106) were injected subcutaneously into the mice. The tumor volume was measured every week and calculated as V = a × b × π/6, where “a” and “b” represent the largest and smallest tumor diameters, respectively. The mice were sacrificed after 14 days. The protein levels of PCNA, Bcl-2, and Ki-67 were detected through IHC.

Statistical analysis

All data in this study were analyzed using the SPSS 20.0 and GraphPad statistical software. The mean ± standard deviation measurement data are shown. A t-test was used to compare the two groups. The comparison between multiple groups was performed using one-way analysis of variance. The spearman correlation coefficient was used to evaluate the correlation between immunohistochemistry and clinical stage. P < 0.05 was considered significant.

Results

Higher expression of PGRN in male patients with lung adenocarcinoma than in those with lung squamous cell carcinoma

To verify the expression of PGRN in lung cancer tissue samples, the patients’ specimens were collected and subjected to IHC. The results showed that the expression of PGRN was higher in male patients with lung adenocarcinoma than in those with lung squamous cell carcinoma (27 with lung squamous cell carcinoma and 51 with lung adenocarcinoma, Fig. 1A and Table 1). Similar results were not observed in female patients (13 with lung squamous cell carcinoma and 29 with lung adenocarcinoma, Fig. 1F, G). To analyze the difference in immunochemistry staining between lung adenocarcinoma and lung squamous cell carcinoma, the staining intensity of PGRN and the percentage of positively stained cells in lung adenocarcinoma and lung squamous cell carcinoma specimens were strictly counted. Results showed that in the intensity (Fig. 1B) of PGRN staining and percentage of positively stained cells (Fig. 1C), the PGRN of lung squamous cell carcinoma specimens was significantly lower than that of lung adenocarcinoma specimens. The IHC SCORE based on the staining intensity and the percentage of positively stained cells of immunochemistry specimens also showed the same results (Fig. 1D). Compared with HBE cells, the PGRN expression levels were higher in A549 cells, whereas no difference was observed in H520 cells (Fig. 1E).
Figure 1

The expression level of PGRN in lung cancer tissues and lung cancer cell lines. (A) The expression of PGRN in lung squamous cell cancer and lung adenocarcinoma were detected by IHC. (B) Evaluation of immunohistochemistry staining intensity. (C) Assessment of the percentage of positively stained cell. (D) Comprehensive immunohistochemistry staining score. (E) The protein level of PGRN in HBE, H520 and A549 was analyzed by western blot. All experiments were repeated three times independently. (F) Mapping of IHC SCORE and clinical stage in female NSCLC (Sankey diagram, P = 0.161). (G) Mapping of IHC SCORE and clinical stage in male NSCLC (Sankey diagram, P < 0.001).

Table 1

Characteristic of patients.

CharacteristicAdenocarcinoma (N = 80)Squamous carcinoma (N = 40)
Age — yr
 Mean61.8 ± 10.961.4 ± 10.0
 Median5861
Sex — no. (%)
 Female29 (36)13 (33)
 Male51 (64)27 (67)
Smoking status — no. (%)
 Never smoked37 (46)5 (13)
 Previous smoker3 (4)4 (10)
 Current smoker40 (50)31 (78)
Current stage of disease — no. (%)
 I (Ia, Ib)2 (3)4 (10)
 II (IIa, IIb)22 (27)16 (40)
 III (IIIa, IIIb)54 (67)20 (50)
 IV2 (3)0
Use of previous anticancer drug therapy — no. (%)1 (1)0
The expression level of PGRN in lung cancer tissues and lung cancer cell lines. (A) The expression of PGRN in lung squamous cell cancer and lung adenocarcinoma were detected by IHC. (B) Evaluation of immunohistochemistry staining intensity. (C) Assessment of the percentage of positively stained cell. (D) Comprehensive immunohistochemistry staining score. (E) The protein level of PGRN in HBE, H520 and A549 was analyzed by western blot. All experiments were repeated three times independently. (F) Mapping of IHC SCORE and clinical stage in female NSCLC (Sankey diagram, P = 0.161). (G) Mapping of IHC SCORE and clinical stage in male NSCLC (Sankey diagram, P < 0.001). Characteristic of patients.

PGRN promoting proliferation, migration, and invasion in A549 and H520 cells

To investigate the effect of PGRN on A549 and H520 cells, the A549 cell line was selected to verify the phenotype of the decreased PGRN and H520 cell lines to verify the phenotype of PGRN overexpression. We decreased the PGRN expression using a specific siRNA in the A549 cells (Fig. 2A) and increased the PGRN expression using the PGRN overexpression vector in the H520 cells (Fig. 2B). The si-PGRN-treated A549 cells grew distinctly smaller than the NC group in the soft agarose medium (Fig. 2C). The PGRN-overexpressed H520 cells grew significantly faster than the NC group in the soft agarose medium (Fig. 2D). The proliferation rate of A549 cells treated with siPGRN was significantly lower than that of the scramble group (Fig. 2E). After the overexpression of PGRN, H520 cells showed stronger proliferation than the NC group (Fig. 2F). The A549 cells possessed a lower wound healing rate than the NC group at 48 h after decreasing the PGRN expression (Fig. 2G, H). By contrast, PGRN-overexpressed H520 cells showed a significantly higher wound healing rate than the NC group at 48 h (Fig. 2L, M). The migration assay with Transwells showed that the migration of A549 cells was inhibited compared with that of the control group after the knockdown of PGRN (Fig. 2I, J). The invasion assay with Matrigel-coated Transwells showed that the invasion of A549 cells was decreased compared with that of the control group after the knockdown of PGRN (Fig. 2I, K). The migration of H520 cells was evaluated compared with the control group after transfection with the PGRN overexpression plasmid (Fig. 2N, O). The invasion of H520 cells was not significantly different between the groups (Fig. 2N, P).
Figure 2

The effects of PGRN on proliferation, apoptosis, migration and invasion in A549 and H520. (A) The expression of PGRN was detected by western blot in A549 cells after knocking down PGRN. (B) The protein level of PGRN was detected by western blot in H520 cells after transfecting PGRN overexpression plasmid. (C) Colony number of A549 was detected by colony formation test after inhibiting PGRN (upper), and the quantitative statistics of colony number was shown (lower, ∗∗∗P < 0.001 vs. Scramble group). (D) Colony number of H520 was detected by colony formation test after overexpressing PGRN (upper), and the quantitative statistics of colony number was shown (lower, ∗∗P < 0.005 vs. Negative control group). (E) The proliferation ability of A549 was detected by MTT after knocking down PGRN (∗∗P < 0.01 vs. Scramble group). (F) The proliferation ability of H520 was detected by MTT after overexpressing PGRN (∗∗P < 0.01 vs. Negative control group). (G) The migration of A549 was detected by wound healing assay after knocking down PGRN. (H) The statistical graph was shown (right, ∗P < 0.05 vs. scramble group). (I) The invasion and migration abilities of A549 were detected by transwell with or without matrix after knocking down PGRN. (J, K). The statistical graph was shown (∗P < 0.05,∗∗P < 0.01 vs. scramble group). (L) The migration of H520 was detected by wound healing assay after overexpressing PGRN. (M) The statistical graph was shown (∗∗P < 0.005 vs. Negative control group). (N) The invasion and migration abilities of H520 were detected by transwell with or without matrix after overexpressing PGRN. (O, P) The statistical graph was shown (∗P < 0.05, P = ns vs. Negative control group). All experiments were repeated three times independently.

The effects of PGRN on proliferation, apoptosis, migration and invasion in A549 and H520. (A) The expression of PGRN was detected by western blot in A549 cells after knocking down PGRN. (B) The protein level of PGRN was detected by western blot in H520 cells after transfecting PGRN overexpression plasmid. (C) Colony number of A549 was detected by colony formation test after inhibiting PGRN (upper), and the quantitative statistics of colony number was shown (lower, ∗∗∗P < 0.001 vs. Scramble group). (D) Colony number of H520 was detected by colony formation test after overexpressing PGRN (upper), and the quantitative statistics of colony number was shown (lower, ∗∗P < 0.005 vs. Negative control group). (E) The proliferation ability of A549 was detected by MTT after knocking down PGRN (∗∗P < 0.01 vs. Scramble group). (F) The proliferation ability of H520 was detected by MTT after overexpressing PGRN (∗∗P < 0.01 vs. Negative control group). (G) The migration of A549 was detected by wound healing assay after knocking down PGRN. (H) The statistical graph was shown (right, ∗P < 0.05 vs. scramble group). (I) The invasion and migration abilities of A549 were detected by transwell with or without matrix after knocking down PGRN. (J, K). The statistical graph was shown (∗P < 0.05,∗∗P < 0.01 vs. scramble group). (L) The migration of H520 was detected by wound healing assay after overexpressing PGRN. (M) The statistical graph was shown (∗∗P < 0.005 vs. Negative control group). (N) The invasion and migration abilities of H520 were detected by transwell with or without matrix after overexpressing PGRN. (O, P) The statistical graph was shown (∗P < 0.05, P = ns vs. Negative control group). All experiments were repeated three times independently.

PGRN activating the MAPK/Erk and PI3K/Akt pathway in lung cancer cells

Western blotting was used to detect the phosphorylation level of Akt and Erk; results showed that the levels of p-Erk and p-Akt were significantly decreased in A549 cells compared with the control group after the knockdown of PGRN (Fig. 3A, B). Moreover, the levels of Cyclin D1, PCNA, and Bcl-2 were elevated in H520 cells overexpressing PGRN, but that of Bax was decreased. Meanwhile, treatment of PGRN-overexpressed H520 cells with LY294002 or PD98059 reversed the expression of Cyclin D1, PCNA, Bcl-2, and Bax affected by PGRN (Fig. 3C–F). These results indicate that PGRN promotes tumor progression through the MAPK and PI3K/Akt signaling pathways.
Figure 3

The signaling pathway of MAPK/Erk and PI3K/Akt underlying the effect of PGRN on lung cancer cells. (A) The protein levels of p-Erk, Erk, p-Akt and Akt in A549 were analyzed by western blot. (B) The quantitative statistics of protein expression was shown (∗P < 0.05, ∗∗P < 0.005 vs. Scramble group). (C) The protein levels of CyclinD1, PCNA, Bcl-2, Bax, p-Erk, Erk, p-Akt and Akt in H520 after treating with LY294002 were analyzed by western blot. (D) The quantitative statistics of protein expression was shown (∗P < 0.05, ∗∗P < 0.005 vs. Each another group). (E) The protein levels of CyclinD1, PCNA, Bcl-2, Bax, p-Erk, Erk, p-Akt and Akt in H520 after treating with PD98059 were analyzed by western blot. (F) The quantitative statistics of protein expression was shown (∗P < 0.05, ∗∗P < 0.005 vs. Each another group). All experiments were repeated three times independently.

The signaling pathway of MAPK/Erk and PI3K/Akt underlying the effect of PGRN on lung cancer cells. (A) The protein levels of p-Erk, Erk, p-Akt and Akt in A549 were analyzed by western blot. (B) The quantitative statistics of protein expression was shown (∗P < 0.05, ∗∗P < 0.005 vs. Scramble group). (C) The protein levels of CyclinD1, PCNA, Bcl-2, Bax, p-Erk, Erk, p-Akt and Akt in H520 after treating with LY294002 were analyzed by western blot. (D) The quantitative statistics of protein expression was shown (∗P < 0.05, ∗∗P < 0.005 vs. Each another group). (E) The protein levels of CyclinD1, PCNA, Bcl-2, Bax, p-Erk, Erk, p-Akt and Akt in H520 after treating with PD98059 were analyzed by western blot. (F) The quantitative statistics of protein expression was shown (∗P < 0.05, ∗∗P < 0.005 vs. Each another group). All experiments were repeated three times independently.

PGRN/Akt/Bcl-2 axis regulating the apoptosis of NSCLC

To further clarify the specific mechanism by which PGRN regulates A549 and H520 cells, the antitumor drug copanlisib (PI3K) was used to explore the regulatory relationship between PGRN, Akt, and apoptosis-related Bcl-2 family proteins. In A549 cells, knockdown of PGRN with siRNA downregulated the phosphorylated Akt (p-Akt), PCNA, and Bcl-2 protein levels; this change was partially rescued by the PI3K agonist 740 Y–P. Meanwhile, the PI3K inhibitor copanlisib synergistically inhibited the downstream Bcl-2 with siPGRN (Fig. 4A–D). In H520 cells, the PGRN protein upregulated p-Akt and Bcl-2 (Fig. 4E, F). Similarly, this change can also be reversed by copanlisib; PI3K agonist 740 Y–P synergistically activates the downstream Bcl-2 with PGRN protein (Fig. 4E–H). These results indicate that PGRN protects against apoptosis by activating the downstream Akt and Bcl-2 cascade reactions.
Figure 4

PGRN regulates cell apoptosis through AKT/Bcl-2 on A549 and H520 cell lines. (A) The protein levels of PGRN, p-Akt, Akt, CyclinD1, PCNA and Bcl-2 in A549 after treating with si-Grn and Copanlisib separately or together were analyzed by western blot. (B) The quantitative statistics of the ratio of p-Akt to Akt and the Bcl-2 expression was shown (∗P < 0.05, ∗∗P < 0.005, ∗∗∗P < 0.001). (C) The protein levels of PGRN, p-Akt, Akt, CyclinD1, PCNA and Bcl-2 in A549 after treating with si-Grn and 740 Y–P separately or together were analyzed by western blot. (D) The quantitative statistics of the ratio of p-Akt to Akt and the Bcl-2 expression was shown (∗P < 0.05, ∗∗P < 0.005). (E) The protein levels of PGRN, p-Akt, Akt, CyclinD1, PCNA and Bcl-2 in H520 after treating with rhPGRN and Copanlisib separately or together were analyzed by western blot. (F) The quantitative statistics of the ratio of p-Akt to Akt and the Bcl-2 expression was shown (∗P < 0.05, ∗∗P < 0.005, ∗∗∗P < 0.001). (G) The protein levels of PGRN, p-Akt, Akt, CyclinD1, PCNA and Bcl-2 in H520 after treating with rhPGRN and 740 Y–P separately or together were analyzed by western blot. (H) The quantitative statistics of the ratio of p-Akt to Akt and the Bcl-2 expression was shown (∗P < 0.05). All experiments were repeated three times independently.

PGRN regulates cell apoptosis through AKT/Bcl-2 on A549 and H520 cell lines. (A) The protein levels of PGRN, p-Akt, Akt, CyclinD1, PCNA and Bcl-2 in A549 after treating with si-Grn and Copanlisib separately or together were analyzed by western blot. (B) The quantitative statistics of the ratio of p-Akt to Akt and the Bcl-2 expression was shown (∗P < 0.05, ∗∗P < 0.005, ∗∗∗P < 0.001). (C) The protein levels of PGRN, p-Akt, Akt, CyclinD1, PCNA and Bcl-2 in A549 after treating with si-Grn and 740 Y–P separately or together were analyzed by western blot. (D) The quantitative statistics of the ratio of p-Akt to Akt and the Bcl-2 expression was shown (∗P < 0.05, ∗∗P < 0.005). (E) The protein levels of PGRN, p-Akt, Akt, CyclinD1, PCNA and Bcl-2 in H520 after treating with rhPGRN and Copanlisib separately or together were analyzed by western blot. (F) The quantitative statistics of the ratio of p-Akt to Akt and the Bcl-2 expression was shown (∗P < 0.05, ∗∗P < 0.005, ∗∗∗P < 0.001). (G) The protein levels of PGRN, p-Akt, Akt, CyclinD1, PCNA and Bcl-2 in H520 after treating with rhPGRN and 740 Y–P separately or together were analyzed by western blot. (H) The quantitative statistics of the ratio of p-Akt to Akt and the Bcl-2 expression was shown (∗P < 0.05). All experiments were repeated three times independently.

PGRN promoting the tumor progression in vivo

To demonstrate the effect of PGRN on lung cancer in vivo, A549 and H520 cells overexpressing PGRN were used to construct the xenograft model. The progression of xenograft tumors derived from PGRN-decreased A549 cells was significantly slower than that of the control group (Fig. 5A). The volume and weight of the PGRN-increased A549-derived tumors showed the same results (Fig. 5B, C). On the contrary, the overexpression of PGRN promoted the growth of H520-derived tumors compared with the NC group (Fig. 5D). The volume and weight of the tumors were also counted (Fig. 5E, F). The IHC of tumors showed that the expression of PCNA, Ki67, and Bcl-2 was downregulated in A549-derived tumors by knockdown of PGRN (Fig. 5G), while the expression of PCNA, Ki67, and Bcl-2 was upregulated in H520-derived tumors by the overexpression of PGRN (Fig. 5G). The above evidence supports the role of PGRN in promoting tumor progression in vivo.
Figure 5

The effect of PGRN on A549 and H520 cells in vivo. (A) The A549 tumors were took out from nude mice 2 weeks after tumor implantation (siPGRN group: n = 5; scramble group: n = 5). (B) The statistical graph of tumor weight was shown (∗P < 0.05 vs. scramble group). (C) The tumor growth curves were shown (∗∗P < 0.01 vs. scramble group). (D) The H520 tumors were took out from nude mice 2 weeks after tumor implantation (PGRN group: n = 5; Negative control group: n = 5). (E) The statistical graph of tumor weight was shown (∗∗P < 0.05 vs. Negative control group). (F) The tumor growth curves were shown (∗∗P < 0.01 vs. Negative control group). (G) The expression of PCNA, Bcl-2 and Ki67 were detected by immunohistochemistry.

The effect of PGRN on A549 and H520 cells in vivo. (A) The A549 tumors were took out from nude mice 2 weeks after tumor implantation (siPGRN group: n = 5; scramble group: n = 5). (B) The statistical graph of tumor weight was shown (∗P < 0.05 vs. scramble group). (C) The tumor growth curves were shown (∗∗P < 0.01 vs. scramble group). (D) The H520 tumors were took out from nude mice 2 weeks after tumor implantation (PGRN group: n = 5; Negative control group: n = 5). (E) The statistical graph of tumor weight was shown (∗∗P < 0.05 vs. Negative control group). (F) The tumor growth curves were shown (∗∗P < 0.01 vs. Negative control group). (G) The expression of PCNA, Bcl-2 and Ki67 were detected by immunohistochemistry.

Discussion

Here, we demonstrated that lung adenocarcinoma expressed higher levels of PGRN than squamous cell carcinoma. In vitro, the overexpression of PGRN enhances malignant biological behaviors such as proliferation, anti-apoptosis, migration, and invasion of NSCLC cell lines. This finding increases the possibility that PGRN can be used as a prognostic indicator for lung cancer. Mechanistically, this study revealed that PGRN regulates the expression of Bcl-2 through the classical PI3K/Akt pathway. No difference was observed in the PGRN expression among the different pathological types of lung cancer in female patients. Serrero et al reported that higher PGRN levels in the serum and tissue indicate a lower rate of survival in NSCLC patients. In view of the large gap in the incidence of different pathological types of lung cancer between men and women,, we paid attention to the possible differences in PGRN that indicated the advanced stage of NSCLC in men and women. In general, the expression level of PGRN in tissues can indicate a tumor malignancy. Because of the significant difference in the number of specimens from male and female patients, the expression level of PGRN in NSCLC is more representative of lung cancer in male patients, which will result in the concealment of the characteristics of female patients. Therefore, we conducted a statistic analysis on the two sexes. We found that, especially in male patients, PGRN levels had important clinical significance. We demonstrated that PGRN promotes tumor proliferation, migration, and invasion, and inhibits apoptosis in vitro. This finding is consistent with the results of other studies on colon and ovarian cancer., This may be related to the fact that they all originate from the mesoderm.,36, 37, 38, 39 Based on the results of our experiment, as a classic pathway for tumor regulation,, the PI3K/Akt and MAPK/Erk signaling pathways are involved in the regulation of lung cancer cells through the expression of PGRN. Some studies have reported that PGRN is an upstream molecule that activates the downstream PI3K/Akt and MAPK signaling pathways in tumors., Another study reported that inhibiting the PI3K/Akt and MAPK pathway activity induced the reduction of PGRN expression in ovarian clear cell carcinoma. From our results, we found that the addition of hrPGRN promoted the expression of intracellular PGRN. The differences in the above research suggest that PGRN may form a self-feedback mechanism to regulate its expression through the PI3K/Akt and MAPK signaling pathways. The rapid endocytosis of PGRN, mediated by the lysosomal transporter sortilin, may also be another cause of the increase in the levels of endogenous progranulin., Signal pathways are extremely complex regulatory networks, and crosstalk exists between them. Coupled with upstream effects and downstream negative feedback, it is difficult to fully explain the regulatory relationship between them., It may be a more reliable strategy to reveal the determine the mechanisms of different tumor cell subtypes. As a growth factor, PGRN exerts different biological functions in combination with different proteins. YB-1 exhibits immunomodulatory functions by affecting the binding of TNFα to its receptors; through its interaction with progranulin, YB-1 influences the TNFα-mediated signal transduction. The mature secretory isoform of PGRN has been confirmed to be transported to the lysosome for cleavage by binding to SORT1. More importantly, Neill et al reported that EphA2, as a functional receptor of progranulin, can be combined with progranulin to prolong the activation of the downstream Akt signaling pathway to promote capillary morphogenesis. These evidences suggest that progranulin activates the downstream PI3K/Akt pathway in NSCLC and leads to anti-apoptosis is probably caused by the interaction with the functional receptor EphA2. Buraschi S et al proved that progranulin rather than ephrin-A1 (the canonical ligand of EphA2) is the main EphA2 ligand in bladder cancer. Progranulin causes Akt and Erk1/2-mediated phosphorylation of EphA2 on Ser897, which may drive bladder tumorigenesis. This suggests that the ligand of progranulin in tumors may be non-classical. Exploring more PGRN receptors will better elucidate the specific mechanisms of tumor regulation. In future experiments, we will focus on PGRN receptors in tumors. Breaking the balance between proliferation and apoptosis is a typical characteristic of tumor cells.51, 52, 53, 54 Apoptosis is the maintenance of the stability of the internal environment and the autonomous and orderly death of cells controlled by genes and various cytokines. PI3K/Akt regulates apoptosis of the nasopharyngeal carcinoma cells. PI3K/Akt-Bcl-2 acts as a classic signaling axis for regulating apoptosis. Therefore, PGRN regulates Bcl-2 through the PI3K/Akt pathway, which is considered a strong evidence that PGRN promotes the growth of tumors. More cell lines will be included in future studies to demonstrate the universality of the mechanism in NSCLC and provide more reliable evidence. Meanwhile, more apoptosis indicators, such as the caspase family, p53 family, and survivin, will be tested. The nuclear translocation of NF-κB may also play an important role in apoptosis. The in-depth mechanism by which PGRN regulates lung cancer apoptosis needs to be further explored. As a secreted protein, PGRN can be detected in the serum; in future research, we will further collect the serum of patients with lung cancer and analyze the relationship between PGRN in the serum and the lung cancer pathological index. This study provides an indicator for the early diagnosis and dynamic detection of lung cancer. Drug resistance is one of the biggest obstacles to tumor treatment.58, 59, 60 According to previous studies, PGRN is associated with tamoxifen resistance and poor prognosis in patients with breast cancer. There may be some relationship between PGRN and drug resistance to guide clinical treatment and predict patient prognosis. However, the specific role and mechanism of PGRN in lung cancer resistance has not been reported in depth; hence, we will further explore the relationship between PGRN and lung cancer drug resistance in future experiments.

Conclusion

According to publication and our findings, PGRN expression highly positive correlates with the malignant degree of non-small cell lung cancer in male patients, and PGRN regulates lung cancer cell apoptosis through the PI3K/Akt-Bcl-2 axis. These evidences further demonstrate the key role PGRN plays in tumor pathology and offer potential targets for non-small cell lung cancer treatment.

Author contributions

Conceptualization, CSC and JYJ; Methodology, CSC; Formal Analysis, CSC; Resources, FMT, CB and CSC; Data Curation, CSC and FMT; Writing – Original Draft Preparation, CSC; Writing – Review & Editing, JYJ; Visualization, JYJ.

Conflict of interests

The authors declare that they have no competing interests.

Funding

This research was supported by Chongqing Technology Innovation and application development special fund (No. cstc2019jscx-msxmX0095) and (No. NSFC 81672103). The authors are responsible for the results and opinions provided by this research, and the sponsor is not responsible for the content published.

Ethics declaration

The collection of clinical cancer patient specimens was approved by the Ethical Committee of the First Affiliated Hospital of Chongqing Medical University. All animal experiments strictly follow the guidelines of the Animal Experiment Center of Chongqing Medical University.
  60 in total

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