Introduction
Lung cancer is the most common cause of tumor-related deaths with a 5-year survival rate of 5%, and it is estimated that there are 228,820 new cases and 135,720 deaths in 2020 in the United States [
1]. From the perspective of histology, small-cell lung cancer and non-small cell lung cancer are two main types of lung cancer [
2]. NSCLC accounts for approximately 85% of all lung cancer cases, while lung adenocarcinoma (LUAD) is the main subtype of non-small cell lung cancer [
3,
4]. Although the fact that great improvements have been achieved for the diagnosis and treatment of LUAD, the mortality rates of patients diagnosed at advanced stage remain relatively high [
5]. Additionally, as the common therapeutic method for LUAD clinically, chemotherapy can only prolong the survival time of LUAD patients without permanent cure [
6]. Therefore, it is of the essence to comprehend the molecular mechanism underlying LUAD for the purpose of identifying novel effective diagnostic biomarkers.
Long non-coding RNAs (lncRNAs) are longer than 200 nucleotides with limited or without protein-coding capacity [
7]. Increasing studies suggested that lncRNAs serve as vital regulators in a series of cellular behaviors implicated in the tumorigenesis and development of malignancies [
8]. For example, MAGI2-AS3 suppresses breast cancer by silencing DNA methylation of MAGI2 [
9]. LncRNA-SOX2OT facilitates LUAD cell invasion and migration via miR-122-5p-mediated activation of PKM2 [
10]. LINC00858 downregulation represses cell growth and triggers cell apoptosis of gastric cancer by reducing WNK2 promoter methylation [
11]. Recently, the novel lncRNA GATA binding protein 6 antisense RNA 1 (GATA6-AS1) was reported to exert tumor suppressive function in gastric cancer [
12]. The expression of GATA6-AS1 was downregulated in 483 LUAD tissues compared to 387 normal tissues based on GEPIA database. Nevertheless, the functions and mechanism of GATA6-AS1 in the occurrence and development of LUAD are little known.
MicroRNAs (miRNAs) are evolutionarily conserved and endogenous RNAs with approximately 22 nucleotides in length, and have no protein-coding potential [
13]. Increasing evidence has indicated that miRNAs play critical regulatory roles in many biological processes of cancers, such as cell proliferation, apoptosis and migration [
14]. MicroRNA-4530 (miR-4530) was previously indicated to promote malignant development in breast carcinoma [
15]. In addition, it has been revealed that lncRNAs can function as competing endogenous RNAs (ceRNAs) for miRNAs to modulate the expression of downstream mRNAs [
16,
17]. In addition, ectopic expressions of lncRNAs lead to the abnormality of ceRNA regulatory network, in which lncRNAs competitively interact with miRNAs to regulate expression patterns of target genes, thus inducing carcinogenesis and cancer growth [
18]. For example, lncRNA ACTA2-AS1 promotes cervical cancer development through serving as a ceRNA for miR-143-3p to upregulate SMAD3 expression [
19]. Hence, the interaction between GATA6-AS1 and miR-4530 was to be explored in our study.
The aim of the present research is to elucidate the expression levels and biological mechanism of GATA6-AS1 in LUAD cells. Furthermore, the regulatory function of the GATA6-AS1/miR-4530/GATA6 network on the malignant behaviors of LUAD was demonstrated. These findings were able to provide new insights for the pathogenesis of LUAD.
Materials and methods
LncLocator (
http://www.csbio.sjtu.edu.cn/bioinf/lncLocator/) [
20] was used for determination of the subcellular location of GATA6-AS1. miRDB database [
21] was used to reveal the miRNAs (181 miRNAs, data not shown) that potentially bind with GATA6 and the binding site of GATA6 and miR-4530. Regrna2 database [
22] was used to reveal the miRNAs (57 miRNAs, data not shown) that potentially bind with GATA6-AS1 and the binding site of GATA6-AS1 and miR-4530.
Clinical LUAD tissue collection
Thirty-five clinical LUAD tumor tissues and paired adjacent non-tumor tissues were collected from Liaocheng People’s Hospital. All the tissues were collected during surgical procedures and stored in liquid nitrogen or at − 80 °C for future use. Written informed consents were signed by all the patients and the study was approved by the Ethics Committee of Liaocheng People’s Hospital. All methods were carried out in accordance with relevant guidelines and regulations. Clinical characteristics of LUAD patients were provided in Table
1.
Table 1
Clinical characteristics of LUAD patients
Age (years) | |
≤ 60 | 26 |
> 60 | 9 |
Sex | |
Female | 21 |
Male | 14 |
Differentiation | |
High | 11 |
Medium or low | 24 |
T Staging | |
T1 + T2 | 20 |
T3 + T4 | 15 |
Cervical lymph node metastasis | |
N0 | 27 |
N + | 8 |
Distant metastasis | |
M0 | 34 |
M1 | 1 |
Smoking | |
Yes | 21 |
No | 14 |
Cell culture
The four LUAD cell lines (A427, A549, H1975, HCC827) and human lung cell line (BEAS-2B) were purchased from the American Type Culture Collection (ATCC; Manassas, VA, USA). All the cells were maintained in RPMI-1640 medium (Gibco, Carlsbad, CA, USA), added with 10% heat-inactivated fetal bovine serum (Gibco) in a moist air atmosphere with 5% CO2 at 37 °C.
Cell transfection
For the purpose of overexpressing GATA6-AS1 or GATA6, the pcDNA3.1-GATA6-AS1 or pcDNA3.1-GATA6 vectors were purchased from Invitrogen (Carlsbad, CA, USA), while the empty pcDNA3.1 vector served as a negative control (NC). The specific short-hairpin RNAs (shRNAs) targeting GATA6 (sh-GATA6#1: 5’-CCGGCACCACAACTACCACCTTATGCTCGAGCATAAGGTGGTAGTTGTGGTGTTTTTTG-3′ and sh-GATA6#2: 5′-CCGGATTCCCATGACTCCAACTTCCCTCGAGGGAAGTTGGAGTCATGGGAATTTTTTTG-3′) and negative control (sh-NC) were synthesized by GenePharma. (Shanghai, China) for GATA6 knockdown. MiR-4530 mimics and corresponding NC mimics were also purchased from GenePharma. A549 and H1975 cells went through transfection for approximately 48 h using Lipofectamine 2000 (Invitrogen), followed by being collected and utilized for following experiments.
RNA extraction and reverse transcription quantitative PCR (RT-qPCR)
Total RNA was isolated and extracted from LUAD cells by TRIzol reagent (Invitrogen) according to the recommendations of manufacturer. Next, RNA concentration was detected and then reverse transcribed to single-stranded complementary DNA with a Reverse Transcription System Kit (Takara, Dalian, China). Subsequently, RT-qPCR reactions were carried out using Universal SYBR Green Master (Roche, Basel, Switzerland). The quantifications of GATA6-AS1, GATA6, and miR-4530 were measured by the 2
−ΔΔCt method [
23]. GAPDH and U6 acted as the internal references for normalization, respectively. Primer sequences were listed in Table
2.
Table 2
Relative primer sequences for PCR
GATA6-AS1 | Forward: 5′-CCTGGAGAGTTTCAGAAAGGA-3′ |
Reverse: 5′-ACGCCTCTTGTCCTAAAGTC-3′ |
miR-4530 | Forward: 5′-CCCAGCAGGACGGGAG-3′ |
Reverse: 5′-CTCTACAGCTATATTGCCAGCCAC-3′ |
U6 | Forward: 5′-CTCGCTTCGGCAGCACA-3′ |
Reverse: 5′-AACGCTTCACGAATTTGCGT-3′ |
GATA6 | Forward: 5′-AGACTTGCTCTGGTAATAGCA-3′ |
Reverse: 5′-CTGTAGGTTGTGTTGTGGG-3′ |
GAPDH | Forward: 5ʹ-GCATCCTGGGCTACACTG-3ʹ |
Reverse: 5ʹ-TGGTCGTTGAGGGCAAT-3ʹ |
EdU assay
For conducting the assay, the Cell-Light EdU DNA Cell Proliferation Kit (RiboBio, Guangzhou, China) was adopted based on the specification of manufacturer. Transfected cells were cultured with EdU for 2 h, fixed with 4% paraformaldehyde, stained with Apollo Dye Solution and mounted with DAPI (Sigma-Aldrich, St. Louis, Missouri, USA). Finally, samples were imaged under a fluorescence microscope (Leica, Mannheim, Germany) and were manually counted. EdU positive cells were calculated as the number of EdU (green) positively stained cells/the number of DAPI (blue) positively stained cells in several randomly selected fields.
The treated cells (with the density of 1 × 103 cells/well) were plated into 6-well plates for 2 weeks of incubation, and the medium was replaced every 3 days. Thereafter, the cells were immobilized by paraformaldehyde for 30 min and stained with crystal violet (Aladdin, China) for 20 min at room temperature. After purification by phosphate buffered saline (PBS) twice, the viable cells were visualized and counted from 5 randomly identified fields under a microscope (Nikon, Tokyo, Japan).
Terminal deoxynucleotidyl transferase-mediated dUTP nick-end labeling (TUNEL) assay
The cell apoptosis was investigated using the TUNEL apoptosis assay kit (Beyotime, Shanghai, China) as instructed by the manufacturer. In short, the LUAD cells were cleared with PBS for three times and mounted with 4% paraformaldehyde for 30 min. Next, the abovesaid cells were treated with the PBS possessing 0.3% Triton X-100 at room temperature for 5 min. Subsequently, the TUNEL detection solution was added to the cells. Apoptotic cells were manually counted in 5 randomly selected fields under a light microscope (Olympus Corporation). TUNEL positive cells were calculated as the number of TUNEL (green) positively stained cells/the number of DAPI (blue) positively stained cells.
Flow cytometry analysis
Flow cytometry was conducted to examine cell apoptotic ability utilizing an Annexin V-Fluorescein Isothiocyanate (FITC) Apoptosis Detection Kit (BioLegend, San Diego, CA, USA). After 48 h of transfection, cells were extracted by trypsin without EDTA, and washed thrice with phosphate-buffered saline. After centrifugation and resuspension in 100 μL of flow cytometry binding buffer, the cells were treated with 5 μL of Annexin-V-FITC and 5 μL of propidium iodide solution in the dark for 15 min. The apoptotic ratio was measured with a flow cytometer (BD Biosciences, Franklin Lakes, NJ, USA).
Wound healing assay
The transfected cells were embedded into a 6-well plate with 1 × 103 cells per well and cultivated overnight. Thereafter, a scratch was created with 10 μL pipette tip as the cells were grown to approximately 90% confluence. After being purified thrice with PBS, the cells were imaged from 5 fields in each group via a light microscope (Olympus, Tokyo, Japan). Twenty-four hours later, images were captured again at the same fields.
Transwell invasion assay
The cell invasion assay was performed with a 24-well Transwell chamber (Corning, NY, USA). Transfected A549 and H1975 cells (4 × 104 cells) were plated into the Matrigel-precoated upper chamber. The lower chamber was filled with 600 µL RPMI-1640 containing 10% FBS. After incubation for 24 h, cells on the upper side of the membrane were removed using clean swabs, and cells on the underside were captured under a Leica DM IL LED inverted microscope. The number of invaded cells was counted in 5 randomly selected fields.
Western blot analysis
Total protein was separated and collected from the transfected cells with a lysis buffer (Thermo Scientific, Massachusetts, USA). The protein concentration was detected by the BCA (bicinchoninic acid) Protein Assay kit (Thermo Scientific). The proteins were isolated with 10% sodium dodecyl sulfate–polyacrylamide gel electrophoresis, followed by transferring onto a polyvinylidene fluoride (PVDF) membrane (Millipore, Billerica, MA, USA). Afterwards, the membrane was sealed with 5% non-fat milk for 10 min and incubated for 12 h at 4 °C with primary antibodies of anti-GAPDH (1:2500, ab9485, Abcam) and anti-GATA6 (1:1000, ab175927, Abcam). Subsequently, the PVDF membrane was washed with TBST buffer for three times and probed with HRP-conjugated secondary antibody for 1 h at room temperature. At last, the immunoreactive bands were observed via chemiluminescence (Millipore) and were quantified using ImageJ 1.52 software. GAPDH was used for normalization.
Subcellular fractionation assay
The nuclear and cytoplasmic parts of transfected cells were divided and rinsed according to the protocol of the Cytoplasmic & Nuclear RNA Purification Kit (Norgen). The expression levels of GAPDH, U6 and GATA6-AS1 in nuclear and cytoplasm fractions of cells was analyzed via RT‐qPCR.
RNA immunoprecipitation (RIP) assay
An RIP assay was conducted with the Magna RIP RNA-Binding Protein Immunoprecipitation kit (Millipore). Moreover, cell lysates were collected in RNA immunoprecipitation assay (RIPA) lysis buffer (Millipore) with magnetic beads. Next, anti-Ago2 (ab186733, Abcam) or anti-IgG (ab205718, Abcam) was coincubated for 12 h with magnetic beads at 4 °C for the purpose of acquiring immunoprecipitation complex. Later, the immunoprecipitated RNA was gathered and purified using TRIzol reagent (Takara, Dalian, China). Finally, the results were detected by RT-qPCR.
Dual‑luciferase reporter assay
Partial sequences of GATA6-AS1 and GATA6 3′ untranslated region (3′UTR) including wide type or mutant type miR-4530 binding sites were inserted into dual-luciferase reporter vector (pmirGLO; Promega, Madison, WI, USA) to produce GATA6-AS1-WT, GATA6-AS1-MUT and GATA6-WT, GATA6-MUT. Subsequently, the constructed reporter plasmids were respectively transfected into treated cells with miR-4530 mimics. Afterwards, a dual-luciferase reporter assay system (Promega) was adopted to determine the luciferase activity of cells.
Statistical analysis
The statistical analysis was performed utilizing Graphpad Prism 5.02 software (La Jolla, CA, USA). All data were obtained from at least three independent experiments and showed as the means ± standard deviation. Student’s t-test was utilized to measure differences statistically between two groups, while statistical differences among multiple groups were compared by one-way analysis of variance followed by Tukey's post hoc test. The p < 0.05 was indicative of significant difference.
Discussion
As a main histological class of non-small-cell lung cancer, LUAD accounts for a large proportion of cancer-related deaths globally [
1]. The molecular studies on LUAD are complex [
28]. Smoking is recognized as the major pathogenic factor of LUAD [
29]. Although great progresses have been made about therapeutic methods for patients with LUAD [
30], the prognosis of this disease remains unsatisfactory due to tumor metastasis and late diagnosis. Therefore, it is urgently required to figure out novel and effective biomarkers for the diagnosis and treatment of LUAD, improving the clinical outcomes.
Emerging evidence has elucidated that a great number of lncRNAs are regulatory factors in the initiation and development of LUAD [
31]. For example, lncRNA HOTAIRM1 suppresses LUAD cell proliferation and invasion via the miR-498/WWOX axis [
32]. LncRNA PIK3CD-AS2 facilitates malignant progression of LUAD by YBX1-mediated inhibition of p53 pathway [
33]. LncRNA FBXL19-AS1 promotes tumor growth and migration via sponging miR-203a-3p in LUAD [
34]. It was reported that GATA6-AS1 served as one of the top 10 lncRNAs representing some of the highest clinical diagnostic values for lung squamous cell carcinoma [
35]. In the current study, we explored the regulating function of GATA6-AS1 in LUAD. The expression level of GATA6-AS1 was validated to be downregulated in LUAD tissues and cells. Furthermore, loss-of-function assays illustrated that GATA6-AS1 overexpression inhibited cell proliferation, migration, invasion, and induced cell apoptosis in LUAD. Overall, these findings exhibited that GATA6-AS1 exerted tumor suppressive function in the cellular processes of LUAD. Previously, GATA6-AS1 was indicated to suppress proliferation and migration of LUAD cells by binding with miR-543 to upregulate RKIP [
36] and by sponging miR-324-5p to increase the expression of FBXO11 and SP1 [
37]. GATA6-AS1 is associated with the favorable prognosis of lung squamous cell carcinoma [
38].
Even though numerous lncRNAs function in trans via RNA-RNA or RNA–protein interaction, more and more studies have demonstrated that some lncRNAs loci act in cis to modulate expression levels of nearby genes [
39]. Previous research has revealed that lncRNAs with the feature of high syntenic conservation across species are related to neighboring transcription factors across the genome, such as PTV1 and MYC, GATA6-AS1 and GATA6, LINC00261 and FOXA2, PITRM1-AS1 and KLF6 [
40]. Moreover, GATA6 has been identified as an antioncogene in lung cancer [
41‐
43]. GATA6 exerts suppressive effect in lung cancer by inducing cell senescence [
44]. GATA6 transcriptionally inactivates Shh to inhibit lung squamous cell carcinoma cell proliferation and migration [
45]. We speculated that GATA6 might exert important functions in LUAD together with GATA6‑AS1 and demonstrated that GATA6 showed low expression in LUAD cells. Moreover, rescue experiments indicated that GATA6 knockdown neutralized the biological behaviors of LUAD cells caused by overexpressed GATA6-AS1. Contradictorily, Yan Xu et al
. revealed that silencing of GATA6 exerts anti-oncogenic effects in LUAD [
46]. Inhibition of GATA6 reduces the proliferation of Kras mutant LUAD tumors in mouse models [
47]. GATA6 activates PCAT1 to maintain stemness of non-small cell lung cancer cells [
48].
MiR-4530, as the downstream molecule of GATA6-AS1, was high-expressed in LUAD cells. In the ceRNA mechanism, GATA6-AS1 bound with miR-4530 to upregulate the expression of GATA6, thereby modulating the malignant phenotypes of LUAD cells.
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