Background
Lung cancer has been one of the major diseases leading to global deaths due to its features of poor prognosis and high recurrence rate. Non-small cell lung cancer (NSCLC) consists of almost 70–80% of lung cancers [
1]. Lung adenocarcinoma is a main subtype of NSCLC. Despite progression made in diagnosis and treatment so far, the five-year survival rate is only 10% [
2]. Factors for the bad prognosis of lung cancer include patient’s inherent resistance to chemotherapy and radiotherapy, patient’s acquired resistance to targeted therapy, and high recurrence rate after multi-mode intervention [
3]. Prediction of patient prognosis still lies in histopathologic diagnosis and neoplasm staging system at present. However, traditional methods are not accurate enough to assess patient’s prognosis. Thus, a reliable and accurate marker for prognosis prediction must be developed to assist clinicians.
Though incapable of encoding proteins, lncRNAs hold an indispensable role in epigenetics and gene expression regulation [
4]. Emerging studies [
5] have established that lncRNAs are crucial during tumor progression as oncogenes or tumor suppressor genes. They participate in biological processes like cell growth, anti-apoptosis, migration and invasion. Hence, research on lncRNAs may hold significant value in understanding tumor development and progression.
Research has indicated that lncRNA MANCR, is relevant to cell functions. As shown by Tracy et al. [
6], knock-down of MANCR in breast cancer cells remarkably decreases cell growth and induces cell death. These results suggest that MANCR may perform a cytoprotection function in breast cancer. Moreover, it can promote the migration and proliferation of hepatocellular carcinoma cells [
7] and the development of gastric carcinoma cells [
8]. However, the effects and function of lncRNAs in LUAD haven’t been fully elucidated.
In this study, we determined the significant upregulation of MANCR expression and its significant differences in different clinical stages, T stage and N stage in LUAD tissue from RNA sequencing data in The Cancer Genomes Atlas (TCGA) database. Further cell functional assays were conducted to examine the impact of MANCR on the biological functions of LUAD cells. Our results indicated that MANCR expression may have a negative effect on LUAD patient outcomes. This study may promote further research examining MANCR as a target for cancer therapy purposes.
Methods
Gene expression data (normal: 113, tumor: 1,109) along with clinical information were first accessed from the cancer genome atlas (TCGA) -LUAD (
https://portal.gdc.cancer.gov/). Differentially expressed lncRNAs (DElncRNAs) in LUAD tissue were identified through
t test. The R package “survival” was used to determine the effect of the target DElncRNA on prognosis. Gene set enrichment analysis (GSEA) software was applied to conduct a single sample KEGG pathway enrichment analysis for the target DElncRNA.
Cell culture
Human LUAD cells (A549, H1299, H1975, HCC827) and human normal bronchial epithelial cells (16HBE) were obtained from the Department of Cellular Biology of Chinese Academy of Sciences (Shanghai, China). They were resuscitated and cultured in DMEM, (Gibco, Thermo Fisher Scientific, USA) supplemented with 10% FBS (Invitrogen, MD, USA), 100 mg/mL streptomycin, and 100 U/mL penicillin. All of the cell cultures were maintained under standard conditions.
Cell transfection
Short hairpin RNA (shRNA) targeting MANCR (sh-MANCR), negative control shRNA (sh-NC) and scrambled shRNA (control) were constructed by GenePharma (Shanghai, China) (See primer sequences in Additional file
1: Table 1). Cells were grown in complete medium without antibiotics before 24 h of transfection. When cell numbers reached 70–90% confluency, DNA-lipid compound was formed with Lipofectamine 2000 kit (10 μL/well) and corresponding plasmids (25 nmol/L). The compound was then transfected with cells. After 48 h of transfection, cells were used for the following experiments.
Total RNA extraction and qRT-PCR
Following the manufacture’s procedure, total RNA was extracted from cells. First, cDNA was synthesized with SYBR®PrimeScrip™RT-PCR kit (Takara) at 37 °C for 30 min. The expression of MANCR was examined by qRT-PCR using SYBR Premix ExTaq (Takara) reagent. The primers used were provided in Additional file
1: Table 1. The 2
−ΔΔCt was used for quantitation.
CCK-8 assay
CCK-8 (Donjindo Molecular Technology, Rockville, MD, USA) was used to measure cell proliferation. In brief, firstly, after transfection with sh-MANCR and sh-NC, A549 and H1975 cells were seeded in 96-well plates (1 × 104 cells per well). Then, the cells were continued being cultured at 24 h, 48 h, 72 h, and 96 h. Subsequently, CCK-8 reagent (10 mg/mL) was added into the plates. Two h later, the optical density (OD) values were tested (450 nm).
Cells at the logarithmic phase were inoculated into plates for culture (2 × 106 cells/mL). While cell colonies were invisible to the naked eyes, the mediums on the cells were carefully removed from the cells. Cells were rinsed with PBS twice and fixed with 4% formaldehyde for 15 min. After the formaldehyde was removed, cells were stained with 0.25% crystal violet (25 min). Finally, cells were gently washed with sterile water, dried, photographed and counted.
Wound healing assay
Cells were cultured in 6-well plates until confluent over 90%. Then, we used pipette tips to generate a scratch on the surface. Afterwards, the cells were cultured at 37 ℃ for 48 h using DMEM (Gibco; Thermo Fisher Scientific) free of serum, and wound closures were examined using a microscope.
Transwell assay
This assay was performed with an 8-μm aperture Transwell chamber (BD Biosciences). The upper chamber was coated with Matrigel and inoculated with transfected cells (2 × 105 cells per well). The lower chamber was added with DMEM containing 10% FBS. Being cultured at 37 ℃ for 24 h, cells in the lower chamber were fixed with 4% polyformaldehyde. Thereafter, cells were stained with 0.2% crystal violet. Cells were counted using a dissecting microscope at 100 magnification in 6 random fields.
Flow cytometry assay
Transfected A549 and H1979 cells were seeded in 6-well plates, cultured in an incubator (5% CO2, 37 ℃) for 48 h, and washed in precooled PBS after harvest. Propidium Iodide (PI, 5 μL), FITC Annexin V (5 μL), and buffer (500 μL) were added onto cells according to the kit instructions. Flow cytometry (FACScan, BD Biosciences) was applied to evaluate cell apoptosis.
After 48 h of transfection, A549 and H1979 cells were seeded and washed twice using PBS. The cells were collected and then digested with trypsin without EDTA, washed with PBS, and fixed with cold ethanol. Finally, cells were incubated at 37 °C in darkness for 45 min after 500 mL PI/RNase was added. Cell cycle was analyzed. Flow cytometry was applied to analyze cell cycle.
Western blot assay
Cells were first lysed. BCA kit was used to determine protein concentration of the extractions. Then, 30 μg extracts were electrophoresed on 10% SDS-PAGE. Afterwards, the isolated proteins were transferred to a membrane. The membrane was sealed in 5% milk at room temperature, and sequentially incubated with primary antibodies at 4 ℃. The specific primary antibodies were as follows: Cox-2, MMP2, MMP9, Cyclin D1, CDK2, CDK4, PCNA, Caspase-3, Caspase-9, Bcl-2, Bax, and GAPDH. All the above specific primary antibodies were used at a concentration of 1:1000 (Abcam, Cambridge, UK). Anti-rabbit secondary antibody IgG (1:2000) conjugated with horseradish peroxidase (HRP) (Abcam) was applied for incubation under room temperature for one hour, followed by the measurement. ImageJ software (version 1.48) was used to analyze images (National Institutes of Health, Bethesda, MA, USA).
Statistical analysis
Analysis was on SPSS 19.0 software (IBM, Corp, Armonk, NY, USA). Results were shown as Mean ± SD. Each experiment was repeated in triplicate. Student’s t test, and analysis of variance (ANOVA) were used to compare differences. p Value of less than 0.05 stood for statistically significant. p Value of less than 0.01 stood for highly statistically significant.
Discussion
Lung cancer contributes to a massive number of deaths related to cancer worldwide [
9]. Previous studies demonstrated that MANCR was associated with the prognostic potential for breast cancer recurrence in a signature composed of 9 upregulated lncRNAs [
10]. Nonetheless, the influence of MANCR in LUAD remains unclear. Therefore, this manuscript describes studies that further explored the role of MANCR in LUAD via bioinformatics research and functional experiments.
An increasing amount of scientific evidence has witnessed the predominant impact of some lncRNAs on LUAD progression. These lncRNAs serve as valuable biomarkers for LUAD, offering novel targets for LUAD patient’s treatment. The finding of Arenas et al. [
11] is a case in point: the expression of lncRNA DLG2-AS1 in LUAD samples shows high sensitivity and specificity compared with normal samples, and lncRNA DLG2-AS1 is confirmed to be a novel biomarker. This study demonstrated the high expression of MANCR in LUAD tissue through bioinformatics analysis. Moreover, MANCR expression was associated with patient’s clinical stage, T stage and N stage. To date, studies have illustrated that MANCR functions as an underlying biomarker in some cancers. For example, MANCR is significantly upregulated in breast cancer tumor tissue. ROC curve analysis validated its efficacy (
p < 0.0001), providing further recognition for the clinical diagnostic significance of MANCR as a potential biomarker [
12]. The above research suggests that MANCR can act as a novel biomarker in some cancers for patient’s diagnosis and prognosis. However, to date, studies examining the effect of MANCR on LUAD are lacking. Therefore, we discovered that MANCR could stimulate LUAD cell progression. This suggested that MANCR may influence LUAD progression and may have some potential as a biomarker for LUAD patients.
Conclusion
Some investigations have suggested that MANCR is associated with cell mitosis. Tye et al. [
6] found that MANCR enhances gene stability, shortens cell cycle and promotes cancer cell proliferation as a potential target for therapy. Another study revealed that the predominant dysregulated pathways related to MANCR in regulating anaplastic thyroid cancer are relevant to mitosis and cell cycle [
13]. In addition, GSEA software was used for single gene enrichment analysis on MANCR. It was found that MANCR was significantly enriched in cell cycle, apoptosis and p53 signaling pathways. Our results indicated that silencing MANCR induced cell cycle arrest, cell division inhibition, and promoted cell apoptosis. Western blot assay showed that downregulation of MANCR could reduce the expression levels of Cyclin D1, CDK2, CDK4 and proliferation protein PCNA, and promote the expression of apoptosis proteins. These results indicated that MANCR participates in cell cycle regulation and cell proliferation, and is a potential target for LUAD treatment. The results were consistent with Tye et al. [
6].
Viewed in total, we used bioinformatics analysis to support our in vitro findings that MANCR promotes LUAD cell proliferation, invasion, and migration and affected cell cycle and suppressed cell apoptosis. Above all, this study clarified the molecular mechanism of MANCR promoting the malignant progression of LUAD at bioinformatics, molecular and cellular levels. The results provide a certain theoretic basis for target treatment of LUAD. However, the mechanism of MANCR which promotes LUAD cell development is poorly understood and needs to be studied more deeply. Hence, whether MANCR can be used as a prognostic indicator or applied for drug development remains to be further investigated by clinical experiments.
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