Skip to main content
Erschienen in: BMC Pulmonary Medicine 1/2021

Open Access 01.12.2021 | Research

RETRACTED ARTICLE: Long non-coding RNA GATA6-AS1 upregulates GATA6 to regulate the biological behaviors of lung adenocarcinoma cells

verfasst von: Honggang Kang, Dan Ma, Jing Zhang, Jun Zhao, Mengxiang Yang

Erschienen in: BMC Pulmonary Medicine | Ausgabe 1/2021

Abstract

Background

Lung adenocarcinoma (LUAD) is known to be one of the leading causes of cancer-related deaths globally. In recent decades, long non-coding RNAs (lncRNAs) have been indicated to exert pivotal regulating functions in multiple biological behaviors in the initiation and development of LUAD. However, the functional mechanism of lncRNA GATA binding protein 6 antisense RNA 1 (GATA6-AS1) in LUAD has not been explored.

Methods

In the current study, GATA6-AS1 expression in LUAD tissues was revealed. Meanwhile, GATA6-AS1 expression in LUAD cells was investigated via RT-qPCR analysis. After A549 and H1975 cells were transfected with GATA6-AS1 overexpression plasmids, EdU and colony formation assays, TUNEL assays and flow cytometry analyses, as well as wound healing and Transwell assays were conducted to detect cell proliferation, apoptosis, migration and invasion. Afterwards, bioinformatic tools, western blot analyses, dual-luciferase reporter assays, and RNA immunoprecipitation (RIP) assays were performed to investigate the correlation of microRNA-4530 (miR-4530), GATA6-AS1 and GATA6.

Results

We found that GATA6-AS1 expression was low-expressed in LUAD tissues and cells. Furthermore, the upregulation of GATA6-AS1 suppressed the proliferative, migration and invasion abilities, as well as promoted apoptotic rate of A549 and H1975 cells. Moreover, the mechanistic investigations revealed that GATA6-AS1 upregulated the expression of its cognate sense gene GATA6 by binding with miR-4530, thereby modulating the malignant progression of LUAD cells.

Conclusions

GATA6-AS1 repressed LUAD cell proliferation, migration and invasion, and promoted cell apoptosis via regulation of the miR-4530/GATA6 axis, indicating GATA6-AS1 as a new prognostic biomarker for LUAD.
Hinweise

Supplementary Information

The online version contains supplementary material available at https://​doi.​org/​10.​1186/​s12890-021-01521-7.
Honggang Kang and Dan Ma contributed equally to this work
This article has been retracted. Please see the retraction notice for more detail: https://​doi.​org/​10.​1186/​s12890-022-02142-4
A retraction note to this article is available online at https://​doi.​org/​10.​1186/​s12890-022-02142-4.

Publisher's Note

Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.
Abkürzungen
LUAD
Lung adenocarcinoma
lncRNAs
Long non-coding RNAs
GATA6-AS1
LncRNA GATA binding protein 6 antisense RNA 1

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

Bioinformatics analysis

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
Variables
Cases (n)
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
LUAD: lung adenocarcinoma

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
Gene
Sequences
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.

Colony formation assay

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.

Results

The GATA6-AS1 was low-expressed in lung adenocarcinoma and GATA6-AS1 upregulation inhibited cell growth, migration and invasion

To investigate the functions of GATA6-AS1 in LUAD, the expression pattern of GATA6-AS1 in LUAD tissues was discovered from the database of GEPIA (http://​gepia.​cancer-pku.​cn/​index.​html). The finding indicated that GATA6-AS1 expression was significantly decreased in LUAD tissues (n = 483) compared with adjacent noncancerous tissues (n = 347) (Fig. 1a). Thereafter, RT-qPCR revealed that GATA6-AS1 expression was downregulated in 35 LUAD tissues compared to that in 35 non-tumor tissues (Fig. 1b). GATA6-AS1 expression was lower in LUAD cells (A427, A549, H1975 and HCC827) than normal human lung cells (BEAS-2B) (Fig. 1c). Since GATA6-AS1 expression was decreased in A549 and H1975 cells, the two cell lines were selected for the subsequent assays. Later, the expression of GATA6-AS1 was significantly elevated in A549 and H1975 cells with transfection of pcDNA3.1-GATA6-AS1, as suggested by RT-qPCR (Fig. 1d). Afterwards, an EdU assay was conducted to analyze the suppressive effect of overexpressed GATA6-AS1 on the proliferative ability of A549 and H1975 cells (Fig. 1e). Moreover, a colony formation assay was carried out, showing that cell proliferation was inhibited after increasing GATA6-AS1 expression (Fig. 1f–g). Next, we carried out the TUNEL assay to detect the influence of upregulated GATA6-AS1 on cell apoptosis. The findings showed that the upregulation of GATA6-AS1 led to a significant increase of the percentage of apoptotic cells (Fig. 1h). Furthermore, the results of flow cytometric analysis suggested that GATA6-AS1 overexpression increaseed the apoptotic rate of A549 and H1975 cells (Fig. 1i). Later, wound healing assay and Transwell invasion assay were conducted to examine whether overexpressed GATA6-AS1 affects migration and invasion capacities of A549 and H1975 cells. The findings demonstrated that GATA6-AS1 overexpression repressed cell migration and invasion compared with negative control group (Fig. 1j–l).

GATA6 expression was downregulated and positively regulated by GATA6-AS1 in lung adenocarcinoma cells

As the above-mentioned experiments revealed that GATA6-AS1 served as a tumor suppressor in LUAD, GATA6, the cognate sense transcript of GATA6-AS1, drew our attention. We firstly searched the database of GEPIA, finding that GATA6 was low-expressed in LUAD tissues (n = 483) compared to adjacent noncancerous tissue samples (n = 347) (Fig. 2a). GATA6 was downregulated in 35 clinical LUAD tissues compared to that in 35 non-tumor tissues (Fig. 2b). In addition, the results of RT-qPCR and western blot revealed the downregulation of GATA6 expression in LUAD cells compared with normal human lung cells at both mRNA and protein levels (Fig. 2c). Afterwards, we wondered if GATA6-AS1 exerts regulatory effects on GATA6. RT-qPCR analysis revealed that the expression of GATA6 was promoted in A549 and H1975 cells upon the transfection of pcDNA3.1-GATA6-AS1 (Fig. 2d). Meanwhile, the increased protein level of GATA6 in A549 and H1975 cells after overexpressing GATA6-AS1 was depicted by western blot (Fig. 2e). Thereafter, the putative subcellular location was revealed from LncLocator database, suggesting that GATA6-AS1 was mainly located at cytoplasm of LUAD cells (Fig. 2f), indicating the posttranscriptional regulation of GATA6-AS1 on GATA6. This result was further supported by a subcellular fractionation assay, which showed the most percentage of GATA6-AS1 in the cytoplasm of A549 and H1975 cells (Fig. 2g).

GATA6-AS1 interacted with miR-4530 to upregulate GATA6 expression

The ceRNA mechanism is a typical posttranscriptional mechanism, and lncRNAs were widely reported to regulate their cognate sense transcripts via the ceRNA mechanism [2427]. We hypothesized that GATA6-AS1 regulates GATA6 via the ceRNA mechanism. Subsequently, an RIP assay was conducted to investigate whether GATA6-AS1 exists in RNA-induced silencing complexes (RISCs). As illustrated by Fig. 3a, the abundant enrichment of GATA6-AS1 suggested that GATA6-AS1 might act as the molecular sponge of specific miRNA in the ceRNA regulatory network. Next, two miRNAs (miR-4530 and miR-1520) sharing potential binding sites with GATA6-AS1 were screened out with the screening condition of miRDB [21] and RegRNA2 [22] databases (Fig. 3b). Afterwards, the expression levels of miR-4530 and miR-1200 were examined using RT-qPCR, suggesting that miR-4530 was overexpressed in LUAD cells (Fig. 3c, d). Moreover, RT-qPCR analysis revealed that the expression of miR-4530 was elevated in A549 and H1975 cells with transfection of miR-4530-mimics (Fig. 3e). In addition, the expression level of GATA6 was suppressed by miR-4530 overexpression and then reversed by upregulated GATA6-AS1 in A549 and H1975 cells, as indicated by RT-qPCR (Fig. 3f). GATA6-AS1 can suppress the expression of miR-4530, as revealed in Fig. 3g. Overexpression of miR-4530 rescued the stimulating effects of GATA6-AS1 on GATA6 expression (Fig. 3h). Thereafter, the binding sequences between GATA6-AS1 and miR-4530, or between GATA6 and miR-4530 were depicted via prediction from miRDB and RegRNA2 (Fig. 3i). Subsequently, a dual‑luciferase reporter assay revealed that miR-4530 upregulation inhibited the luciferase activities of GATA6-AS1-WT and GATA6-WT, while the luciferase activities of GATA6-AS1-MUT and GATA6-MUT were unchanged following the same transfection in A549 and H1975 cells (Fig. 3j, k). Later, as shown in the RIP assay, the enrichment of GATA6-AS1, miR-4530 and GATA6 was increased in anti-Ago2 precipitated products in A549 and H1975 cells, indicating that GATA6-AS1, miR-4530 and GATA6 co-existed in RISC (Fig. 3l). In conclusion, the GATA6-AS1 served as a ceRNA against miR-4530 to upregulate GATA6.

GATA6-AS1 modulated the biological processes of lung adenocarcinoma cells via GATA6

For exploring the underlying functional mechanism of GATA6-AS1 in LUAD, a series of rescue assays were conducted. First, the expression of GATA6 was repressed significantly in A549 and H1975 cells after the knockdown of GATA6 (Fig. 4a). Subsequently, an EdU assay revealed that the GATA6-AS1 upregulation-reduced apoptotic ability of A549 and H1975 cells was restored by silencing GATA6 (Fig. 4b, c). Additionally, the inhibited cell proliferation by GATA6-AS1 overexpression was countervailed after depleting GATA6, as suggested by a colony formation assay (Fig. 4d). Later, the TUNEL assay was performed to illustrate the inhibitory effect of GATA6 knockdown on cell apoptosis previously promoted by upregulated GATA6-AS1 (Fig. 4e). Furthermore, the apoptotic rate of A549 and H1975 cells increased by overexpressed GATA6-AS1 and then suppressed by GATA6 depletion, as elucidated by flow cytometry analysis (Fig. 4f). Thereafter, wound healing and Transwell assay revealed that the GATA6-AS1 overexpression-inhibited migration and invasion capacities of A549 and H1975 cells were counteracted after downregulation of GATA6 (Fig. 4g–h). Therefore, GATA6-AS1 inhibited malignant progression of LUAD cells via upregulating GATA6.

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 [4143]. 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.

Conclusions

In conclusion, our findings elucidated that GATA6-AS1 suppresses proliferative, migration, invasion abilities and motivated apoptotic capacity of LUAD cells. We innovatively revealed that GATA6-AS1 bound with miR-4530 to inhibit the degradation of GATA6 caused by miR-4530. GATA6-AS1 exerted its suppressive effects on LUAD cells by the miR-4530/GATA6 signaling pathway, suggesting GATA6-AS1 as a potential molecular marker for LUAD (Additional file 1).

Acknowledgements

Not applicable.

Declarations

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.
Not applicable.

Competing interests

The authors declare that they have no competing interests.
Open AccessThis article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://​creativecommons.​org/​licenses/​by/​4.​0/​. The Creative Commons Public Domain Dedication waiver (http://​creativecommons.​org/​publicdomain/​zero/​1.​0/​) applies to the data made available in this article, unless otherwise stated in a credit line to the data.

Publisher's Note

Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.
Literatur
1.
2.
Zurück zum Zitat Travis WD, Brambilla E, Noguchi M, Nicholson AG, Geisinger KR, Yatabe Y, et al. International Association for the Study of Lung Cancer/American Thoracic Society/European Respiratory Society International Multidisciplinary Classification of Lung Adenocarcinoma. J Thorac Oncol. 2011;6(2):244–85.PubMedPubMedCentralCrossRef Travis WD, Brambilla E, Noguchi M, Nicholson AG, Geisinger KR, Yatabe Y, et al. International Association for the Study of Lung Cancer/American Thoracic Society/European Respiratory Society International Multidisciplinary Classification of Lung Adenocarcinoma. J Thorac Oncol. 2011;6(2):244–85.PubMedPubMedCentralCrossRef
3.
Zurück zum Zitat Chen W, Zheng R, Baade P, Zhang S, Zeng H, Bray F, et al. Cancer statistics in China, 2015. CA Cancer J Clin. 2016;66(2):115–32.PubMedCrossRef Chen W, Zheng R, Baade P, Zhang S, Zeng H, Bray F, et al. Cancer statistics in China, 2015. CA Cancer J Clin. 2016;66(2):115–32.PubMedCrossRef
4.
Zurück zum Zitat Altorki N, Markowitz G, Gao D, Port J, Saxena A, Stiles B, et al. The lung microenvironment: an important regulator of tumour growth and metastasis. Nat Rev Cancer. 2019;19(1):9–31.PubMedPubMedCentralCrossRef Altorki N, Markowitz G, Gao D, Port J, Saxena A, Stiles B, et al. The lung microenvironment: an important regulator of tumour growth and metastasis. Nat Rev Cancer. 2019;19(1):9–31.PubMedPubMedCentralCrossRef
5.
Zurück zum Zitat Wood S, Pernemalm M, Crosbie P, Whetton AJC. Molecular histology of lung cancer: from targets to treatments. Cancer Treat Rev. 2015;41(4):361–75.PubMedCrossRef Wood S, Pernemalm M, Crosbie P, Whetton AJC. Molecular histology of lung cancer: from targets to treatments. Cancer Treat Rev. 2015;41(4):361–75.PubMedCrossRef
6.
Zurück zum Zitat Landi L, Cappuzzo F. Management of NSCLC: focus on crizotinib. Expert Opin Pharmacother. 2014;15(17):2587–97.PubMedCrossRef Landi L, Cappuzzo F. Management of NSCLC: focus on crizotinib. Expert Opin Pharmacother. 2014;15(17):2587–97.PubMedCrossRef
8.
Zurück zum Zitat Lin C, Yang LJ. Long noncoding RNA in cancer: wiring signaling circuitry. Trends Cell Biol. 2018;28(4):287–301.PubMedCrossRef Lin C, Yang LJ. Long noncoding RNA in cancer: wiring signaling circuitry. Trends Cell Biol. 2018;28(4):287–301.PubMedCrossRef
9.
Zurück zum Zitat Xu X, Yuan X, Ni J, Guo J, Gao Y, Yin W, et al. MAGI2-AS3 inhibits breast cancer by downregulating DNA methylation of MAGI2. J Cell Physiol. 2020;236:1116–30.PubMedCrossRef Xu X, Yuan X, Ni J, Guo J, Gao Y, Yin W, et al. MAGI2-AS3 inhibits breast cancer by downregulating DNA methylation of MAGI2. J Cell Physiol. 2020;236:1116–30.PubMedCrossRef
10.
Zurück zum Zitat Liang Y, Zhang D, Zheng T, Yang G, Wang J, Meng F, et al. lncRNA-SOX2OT promotes hepatocellular carcinoma invasion and metastasis through miR-122-5p-mediated activation of PKM2. Oncogensesis. 2020;9(5):54.CrossRef Liang Y, Zhang D, Zheng T, Yang G, Wang J, Meng F, et al. lncRNA-SOX2OT promotes hepatocellular carcinoma invasion and metastasis through miR-122-5p-mediated activation of PKM2. Oncogensesis. 2020;9(5):54.CrossRef
11.
Zurück zum Zitat Du J, Liang Y, Zhao J, Lin X, Wang ZJ. LINC00858 knockdown inhibits gastric cancer cell growth and induces apoptosis through reducing WNK2 promoter methylation. Cell Oncol (Dordr). 2020;43(4):709–23.CrossRef Du J, Liang Y, Zhao J, Lin X, Wang ZJ. LINC00858 knockdown inhibits gastric cancer cell growth and induces apoptosis through reducing WNK2 promoter methylation. Cell Oncol (Dordr). 2020;43(4):709–23.CrossRef
12.
Zurück zum Zitat Gao W, Guo H, Niu M, Zheng X, Zhang Y, Xue X, et al. circPARD3 drives malignant progression and chemoresistance of laryngeal squamous cell carcinoma by inhibiting autophagy through the PRKCI-Akt-mTOR pathway. Mol Cancer. 2020;19(1):166.PubMedPubMedCentralCrossRef Gao W, Guo H, Niu M, Zheng X, Zhang Y, Xue X, et al. circPARD3 drives malignant progression and chemoresistance of laryngeal squamous cell carcinoma by inhibiting autophagy through the PRKCI-Akt-mTOR pathway. Mol Cancer. 2020;19(1):166.PubMedPubMedCentralCrossRef
13.
Zurück zum Zitat Lagos-Quintana M, Rauhut R, Lendeckel W, Tuschl TJS. Identification of novel genes coding for small expressed RNAs. Science. 2001;294(5543):853–8.PubMedCrossRef Lagos-Quintana M, Rauhut R, Lendeckel W, Tuschl TJS. Identification of novel genes coding for small expressed RNAs. Science. 2001;294(5543):853–8.PubMedCrossRef
14.
Zurück zum Zitat Bartel DJC. MicroRNAs: genomics, biogenesis, mechanism, and function. Cell. 2004;116(2):281–97.PubMedCrossRef Bartel DJC. MicroRNAs: genomics, biogenesis, mechanism, and function. Cell. 2004;116(2):281–97.PubMedCrossRef
15.
Zurück zum Zitat Zhang T, Jing L, Li H, Ding L, Ai D, Lyu J, et al. MicroRNA-4530 promotes angiogenesis by targeting VASH1 in breast carcinoma cells. Oncol Lett. 2017;14(1):111–8.PubMedPubMedCentralCrossRef Zhang T, Jing L, Li H, Ding L, Ai D, Lyu J, et al. MicroRNA-4530 promotes angiogenesis by targeting VASH1 in breast carcinoma cells. Oncol Lett. 2017;14(1):111–8.PubMedPubMedCentralCrossRef
17.
18.
Zurück zum Zitat Wu Q, Guo L, Jiang F, Li L, Chen FJ, et al. Analysis of the miRNA-mRNA-lncRNA networks in ER+ and ER- breast cancer cell lines. J Cell Mol Med. 2015;19(12):2874–87.PubMedPubMedCentralCrossRef Wu Q, Guo L, Jiang F, Li L, Chen FJ, et al. Analysis of the miRNA-mRNA-lncRNA networks in ER+ and ER- breast cancer cell lines. J Cell Mol Med. 2015;19(12):2874–87.PubMedPubMedCentralCrossRef
19.
Zurück zum Zitat Luo L, Wang M, Li X, Luo C, Tan S, Yin S, et al. A novel mechanism by which ACTA2-AS1 promotes cervical cancer progression: acting as a ceRNA of miR-143-3p to regulate SMAD3 expression. Cancer Cell Int. 2020;20:372.PubMedPubMedCentralCrossRef Luo L, Wang M, Li X, Luo C, Tan S, Yin S, et al. A novel mechanism by which ACTA2-AS1 promotes cervical cancer progression: acting as a ceRNA of miR-143-3p to regulate SMAD3 expression. Cancer Cell Int. 2020;20:372.PubMedPubMedCentralCrossRef
20.
Zurück zum Zitat Cao Z, Pan X, Yang Y, Huang Y, Shen HJB. The lncLocator: a subcellular localization predictor for long non-coding RNAs based on a stacked ensemble classifier. Bioinformatics. 2018;34(13):2185–94.PubMedCrossRef Cao Z, Pan X, Yang Y, Huang Y, Shen HJB. The lncLocator: a subcellular localization predictor for long non-coding RNAs based on a stacked ensemble classifier. Bioinformatics. 2018;34(13):2185–94.PubMedCrossRef
21.
Zurück zum Zitat Chen Y, Wang XJ. miRDB: an online database for prediction of functional microRNA targets. Nucleic Acids Res. 2020;48:D127–31.PubMedCrossRef Chen Y, Wang XJ. miRDB: an online database for prediction of functional microRNA targets. Nucleic Acids Res. 2020;48:D127–31.PubMedCrossRef
22.
Zurück zum Zitat Chang T, Huang H, Hsu J, Weng S, Horng J, Huang HJBB. An enhanced computational platform for investigating the roles of regulatory RNA and for identifying functional RNA motifs. BMC Bioinformatics. 2013;14(Suppl 2):S4.PubMedPubMedCentralCrossRef Chang T, Huang H, Hsu J, Weng S, Horng J, Huang HJBB. An enhanced computational platform for investigating the roles of regulatory RNA and for identifying functional RNA motifs. BMC Bioinformatics. 2013;14(Suppl 2):S4.PubMedPubMedCentralCrossRef
23.
Zurück zum Zitat Livak KJ, Schmittgen TD. Analysis of relative gene expression data using real-time quantitative PCR and the 2(-Delta Delta C(T)) Method. Methods. 2001;25(4):402–8.PubMedCrossRef Livak KJ, Schmittgen TD. Analysis of relative gene expression data using real-time quantitative PCR and the 2(-Delta Delta C(T)) Method. Methods. 2001;25(4):402–8.PubMedCrossRef
24.
Zurück zum Zitat Qian W, Cai X, Qian Q, Peng W, Yu J, Zhang X, et al. lncRNA ZEB1-AS1 promotes pulmonary fibrosis through ZEB1-mediated epithelial-mesenchymal transition by competitively binding miR-141-3p. Cell Death Dis. 2019;10(2):129.PubMedPubMedCentralCrossRef Qian W, Cai X, Qian Q, Peng W, Yu J, Zhang X, et al. lncRNA ZEB1-AS1 promotes pulmonary fibrosis through ZEB1-mediated epithelial-mesenchymal transition by competitively binding miR-141-3p. Cell Death Dis. 2019;10(2):129.PubMedPubMedCentralCrossRef
25.
Zurück zum Zitat Jiao M, Guo H, Chen Y, Li L, Zhang L. DARS-AS1 promotes clear cell renal cell carcinoma by sequestering miR-194-5p to up-regulate DARS. Biomed Pharmacother. 2020;128:110323.PubMedCrossRef Jiao M, Guo H, Chen Y, Li L, Zhang L. DARS-AS1 promotes clear cell renal cell carcinoma by sequestering miR-194-5p to up-regulate DARS. Biomed Pharmacother. 2020;128:110323.PubMedCrossRef
26.
Zurück zum Zitat Yang T, Chen WC, Shi PC, Liu MR, Jiang T, Song H, et al. Long noncoding RNA MAPKAPK5-AS1 promotes colorectal cancer progression by cis-regulating the nearby gene MK5 and acting as a let-7f-1-3p sponge. J Exp Clin Cancer Res. 2020;39(1):139.PubMedPubMedCentralCrossRef Yang T, Chen WC, Shi PC, Liu MR, Jiang T, Song H, et al. Long noncoding RNA MAPKAPK5-AS1 promotes colorectal cancer progression by cis-regulating the nearby gene MK5 and acting as a let-7f-1-3p sponge. J Exp Clin Cancer Res. 2020;39(1):139.PubMedPubMedCentralCrossRef
27.
Zurück zum Zitat Sui Y, Lin G, Zheng Y, Huang W. LncRNA MAFG-AS1 boosts the proliferation of lung adenocarcinoma cells via regulating miR-744-5p/MAFG axis. Eur J Pharmacol. 2019;859:172465.PubMedCrossRef Sui Y, Lin G, Zheng Y, Huang W. LncRNA MAFG-AS1 boosts the proliferation of lung adenocarcinoma cells via regulating miR-744-5p/MAFG axis. Eur J Pharmacol. 2019;859:172465.PubMedCrossRef
28.
Zurück zum Zitat Wilkerson M, Yin X, Walter V, Zhao N, Cabanski C, Hayward M, et al. Differential pathogenesis of lung adenocarcinoma subtypes involving sequence mutations, copy number, chromosomal instability, and methylation. PLoS ONE. 2012;7(5):e36530.PubMedPubMedCentralCrossRef Wilkerson M, Yin X, Walter V, Zhao N, Cabanski C, Hayward M, et al. Differential pathogenesis of lung adenocarcinoma subtypes involving sequence mutations, copy number, chromosomal instability, and methylation. PLoS ONE. 2012;7(5):e36530.PubMedPubMedCentralCrossRef
29.
Zurück zum Zitat Cancer Genome Atlas Research Network. Comprehensive molecular profiling of lung adenocarcinoma. Nature. 2014;511(7511):543–50.CrossRef Cancer Genome Atlas Research Network. Comprehensive molecular profiling of lung adenocarcinoma. Nature. 2014;511(7511):543–50.CrossRef
30.
Zurück zum Zitat Lin S, Sun J, Wu J, Long H, Zhu C, Xiang T, et al. Aberrant microRNAs expression in CD133+/CD326+ human lung adenocarcinoma initiating cells from A549. Mol Cells. 2012;33(3):277–83.PubMedPubMedCentralCrossRef Lin S, Sun J, Wu J, Long H, Zhu C, Xiang T, et al. Aberrant microRNAs expression in CD133+/CD326+ human lung adenocarcinoma initiating cells from A549. Mol Cells. 2012;33(3):277–83.PubMedPubMedCentralCrossRef
31.
Zurück zum Zitat Yang J, Lin J, Liu T, Chen T, Pan S, Huang W, et al. Analysis of lncRNA expression profiles in non-small cell lung cancers (NSCLC) and their clinical subtypes. Lung Cancer. 2014;85(2):110–5.PubMedCrossRef Yang J, Lin J, Liu T, Chen T, Pan S, Huang W, et al. Analysis of lncRNA expression profiles in non-small cell lung cancers (NSCLC) and their clinical subtypes. Lung Cancer. 2014;85(2):110–5.PubMedCrossRef
32.
Zurück zum Zitat Chen T, Gao F, Yang T, Li H, Li Y, Ren H, et al. LncRNA HOTAIRM1 Inhibits the Proliferation and Invasion of Lung Adenocarcinoma Cells via the miR-498/WWOX Axis. Cancer Manag Res. 2020;12:4379–90.PubMedPubMedCentralCrossRef Chen T, Gao F, Yang T, Li H, Li Y, Ren H, et al. LncRNA HOTAIRM1 Inhibits the Proliferation and Invasion of Lung Adenocarcinoma Cells via the miR-498/WWOX Axis. Cancer Manag Res. 2020;12:4379–90.PubMedPubMedCentralCrossRef
33.
Zurück zum Zitat Zheng X, Zhang J, Fang T, Wang X, Wang S, Ma Z, et al. The long non-coding RNA PIK3CD-AS2 promotes lung adenocarcinoma progression via YBX1-mediated suppression of p53 pathway. Oncogenesis. 2020;9(3):34.PubMedPubMedCentralCrossRef Zheng X, Zhang J, Fang T, Wang X, Wang S, Ma Z, et al. The long non-coding RNA PIK3CD-AS2 promotes lung adenocarcinoma progression via YBX1-mediated suppression of p53 pathway. Oncogenesis. 2020;9(3):34.PubMedPubMedCentralCrossRef
34.
Zurück zum Zitat Wang L, Zhang X, Liu Y, Xu SJ. Long noncoding RNA FBXL19-AS1 induces tumor growth and metastasis by sponging miR-203a-3p in lung adenocarcinoma. J Cell Physiol. 2020;235(4):3612–25.PubMedCrossRef Wang L, Zhang X, Liu Y, Xu SJ. Long noncoding RNA FBXL19-AS1 induces tumor growth and metastasis by sponging miR-203a-3p in lung adenocarcinoma. J Cell Physiol. 2020;235(4):3612–25.PubMedCrossRef
35.
Zurück zum Zitat Chen W, Tang R, He R, Li D, Liang L, Zeng J, et al. Clinical roles of the aberrantly expressed lncRNAs in lung squamous cell carcinoma: a study based on RNA-sequencing and microarray data mining. Oncotarget. 2017;8(37):61282–304.PubMedPubMedCentralCrossRef Chen W, Tang R, He R, Li D, Liang L, Zeng J, et al. Clinical roles of the aberrantly expressed lncRNAs in lung squamous cell carcinoma: a study based on RNA-sequencing and microarray data mining. Oncotarget. 2017;8(37):61282–304.PubMedPubMedCentralCrossRef
36.
Zurück zum Zitat Gong Z, Chen X, Zhang Y, Liu C, Wang Z, Xu X, et al. LncRNA GATA6-AS1 Inhibits the Progression of Non-Small Cell Lung Cancer via Repressing microRNA-543 to Up-Regulating RKIP. Cancer Manag Res. 2020;12:9327–38.PubMedPubMedCentralCrossRef Gong Z, Chen X, Zhang Y, Liu C, Wang Z, Xu X, et al. LncRNA GATA6-AS1 Inhibits the Progression of Non-Small Cell Lung Cancer via Repressing microRNA-543 to Up-Regulating RKIP. Cancer Manag Res. 2020;12:9327–38.PubMedPubMedCentralCrossRef
37.
Zurück zum Zitat Wang Z, Pan L, Yang L, Lv P, Mai S, Wang Y. Long non-coding RNA GATA6-AS1 sponges miR-324-5p to inhibit lung cancer cell proliferation and invasion. Onco Targets Ther. 2020;13:9741–51.PubMedPubMedCentralCrossRef Wang Z, Pan L, Yang L, Lv P, Mai S, Wang Y. Long non-coding RNA GATA6-AS1 sponges miR-324-5p to inhibit lung cancer cell proliferation and invasion. Onco Targets Ther. 2020;13:9741–51.PubMedPubMedCentralCrossRef
38.
Zurück zum Zitat Xiong Y, Zhang X, Lin Z, Xiong A, Xie S, Liang J, et al. SFTA1P, LINC00968, GATA6-AS1, TBX5-AS1, and FEZF1-AS1 are crucial long non-coding RNAs associated with the prognosis of lung squamous cell carcinoma. Oncology Lett. 2019;18(4):3985–93. Xiong Y, Zhang X, Lin Z, Xiong A, Xie S, Liang J, et al. SFTA1P, LINC00968, GATA6-AS1, TBX5-AS1, and FEZF1-AS1 are crucial long non-coding RNAs associated with the prognosis of lung squamous cell carcinoma. Oncology Lett. 2019;18(4):3985–93.
39.
Zurück zum Zitat Guil S, Esteller M. Cis-acting noncoding RNAs: friends and foes. Nat Struct Mol Biol. 2012;19(11):1068–75.PubMedCrossRef Guil S, Esteller M. Cis-acting noncoding RNAs: friends and foes. Nat Struct Mol Biol. 2012;19(11):1068–75.PubMedCrossRef
40.
Zurück zum Zitat Liu Z, Dai J, Shen HB. Systematic analysis reveals long noncoding RNAs regulating neighboring transcription factors in human cancers. Biochim Biophys Acta Mol Basis Dis. 2018;1864:2785–92.PubMedCrossRef Liu Z, Dai J, Shen HB. Systematic analysis reveals long noncoding RNAs regulating neighboring transcription factors in human cancers. Biochim Biophys Acta Mol Basis Dis. 2018;1864:2785–92.PubMedCrossRef
41.
Zurück zum Zitat Huang X, Xiao S, Zhu X, Yu Y, Cao M, Zhang X, et al. miR-196b-5p-mediated downregulation of FAS promotes NSCLC progression by activating IL6-STAT3 signaling. Cell Death Dis. 2020;11(9):785.PubMedPubMedCentralCrossRef Huang X, Xiao S, Zhu X, Yu Y, Cao M, Zhang X, et al. miR-196b-5p-mediated downregulation of FAS promotes NSCLC progression by activating IL6-STAT3 signaling. Cell Death Dis. 2020;11(9):785.PubMedPubMedCentralCrossRef
42.
Zurück zum Zitat Liang G, Meng W, Huang X, Zhu W, Yin C, Wang C, et al. miR-196b-5p-mediated downregulation of TSPAN12 and GATA6 promotes tumor progression in non-small cell lung cancer. Proc Natl Acad Sci USA. 2020;117(8):4347–57.PubMedPubMedCentralCrossRef Liang G, Meng W, Huang X, Zhu W, Yin C, Wang C, et al. miR-196b-5p-mediated downregulation of TSPAN12 and GATA6 promotes tumor progression in non-small cell lung cancer. Proc Natl Acad Sci USA. 2020;117(8):4347–57.PubMedPubMedCentralCrossRef
43.
Zurück zum Zitat Li H, Feng C, Shi S. miR-196b promotes lung cancer cell migration and invasion through the targeting of GATA6. Oncol Lett. 2018;16(1):247–52.PubMedPubMedCentral Li H, Feng C, Shi S. miR-196b promotes lung cancer cell migration and invasion through the targeting of GATA6. Oncol Lett. 2018;16(1):247–52.PubMedPubMedCentral
44.
Zurück zum Zitat Chen W, Chen Z, Zhang M, Tian Y, Liu L, Lan R, et al. GATA6 exerts potent lung cancer suppressive function by inducing cell senescence. Front Oncol. 2020;10:824.PubMedPubMedCentralCrossRef Chen W, Chen Z, Zhang M, Tian Y, Liu L, Lan R, et al. GATA6 exerts potent lung cancer suppressive function by inducing cell senescence. Front Oncol. 2020;10:824.PubMedPubMedCentralCrossRef
45.
Zurück zum Zitat Xu L, Deng S, Xiong H, Shi W, Luo S, Chen L. GATA-6 transcriptionally inhibits Shh to repress cell proliferation and migration in lung squamous cell carcinoma. Int J Biochem Cell Biol. 2019;115:105591.PubMedCrossRef Xu L, Deng S, Xiong H, Shi W, Luo S, Chen L. GATA-6 transcriptionally inhibits Shh to repress cell proliferation and migration in lung squamous cell carcinoma. Int J Biochem Cell Biol. 2019;115:105591.PubMedCrossRef
46.
Zurück zum Zitat Xu Y, Wu H, Wu L, Xu L, Li J, Wang Q, et al. Silencing of long non-coding RNA SOX21-AS1 inhibits lung adenocarcinoma invasion and migration by impairing TSPAN8 via transcription factor GATA6. Int J Biol Macromol. 2020;164:1294–303.PubMedCrossRef Xu Y, Wu H, Wu L, Xu L, Li J, Wang Q, et al. Silencing of long non-coding RNA SOX21-AS1 inhibits lung adenocarcinoma invasion and migration by impairing TSPAN8 via transcription factor GATA6. Int J Biol Macromol. 2020;164:1294–303.PubMedCrossRef
47.
Zurück zum Zitat Arnal-Estapé A, Cai WL, Albert AE, Zhao M, Stevens LE, López-Giráldez F, et al. Tumor progression and chromatin landscape of lung cancer are regulated by the lineage factor GATA6. Oncogene. 2020;39(18):3726–37.PubMedPubMedCentralCrossRef Arnal-Estapé A, Cai WL, Albert AE, Zhao M, Stevens LE, López-Giráldez F, et al. Tumor progression and chromatin landscape of lung cancer are regulated by the lineage factor GATA6. Oncogene. 2020;39(18):3726–37.PubMedPubMedCentralCrossRef
48.
Zurück zum Zitat Zang Q, Xu L, Li J, Jia H. GATA6 activated long non-coding RNA PCAT1 maintains stemness of non-small cell lung cancer by mediating FRK. J BUON. 2020;25(5):2371–81.PubMed Zang Q, Xu L, Li J, Jia H. GATA6 activated long non-coding RNA PCAT1 maintains stemness of non-small cell lung cancer by mediating FRK. J BUON. 2020;25(5):2371–81.PubMed
Metadaten
Titel
RETRACTED ARTICLE: Long non-coding RNA GATA6-AS1 upregulates GATA6 to regulate the biological behaviors of lung adenocarcinoma cells
verfasst von
Honggang Kang
Dan Ma
Jing Zhang
Jun Zhao
Mengxiang Yang
Publikationsdatum
01.12.2021
Verlag
BioMed Central
Erschienen in
BMC Pulmonary Medicine / Ausgabe 1/2021
Elektronische ISSN: 1471-2466
DOI
https://doi.org/10.1186/s12890-021-01521-7

Weitere Artikel der Ausgabe 1/2021

BMC Pulmonary Medicine 1/2021 Zur Ausgabe

Leitlinien kompakt für die Innere Medizin

Mit medbee Pocketcards sicher entscheiden.

Seit 2022 gehört die medbee GmbH zum Springer Medizin Verlag

„Jeder Fall von plötzlichem Tod muss obduziert werden!“

17.05.2024 Plötzlicher Herztod Nachrichten

Ein signifikanter Anteil der Fälle von plötzlichem Herztod ist genetisch bedingt. Um ihre Verwandten vor diesem Schicksal zu bewahren, sollten jüngere Personen, die plötzlich unerwartet versterben, ausnahmslos einer Autopsie unterzogen werden.

Hirnblutung unter DOAK und VKA ähnlich bedrohlich

17.05.2024 Direkte orale Antikoagulanzien Nachrichten

Kommt es zu einer nichttraumatischen Hirnblutung, spielt es keine große Rolle, ob die Betroffenen zuvor direkt wirksame orale Antikoagulanzien oder Marcumar bekommen haben: Die Prognose ist ähnlich schlecht.

Schlechtere Vorhofflimmern-Prognose bei kleinem linken Ventrikel

17.05.2024 Vorhofflimmern Nachrichten

Nicht nur ein vergrößerter, sondern auch ein kleiner linker Ventrikel ist bei Vorhofflimmern mit einer erhöhten Komplikationsrate assoziiert. Der Zusammenhang besteht nach Daten aus China unabhängig von anderen Risikofaktoren.

Semaglutid bei Herzinsuffizienz: Wie erklärt sich die Wirksamkeit?

17.05.2024 Herzinsuffizienz Nachrichten

Bei adipösen Patienten mit Herzinsuffizienz des HFpEF-Phänotyps ist Semaglutid von symptomatischem Nutzen. Resultiert dieser Benefit allein aus der Gewichtsreduktion oder auch aus spezifischen Effekten auf die Herzinsuffizienz-Pathogenese? Eine neue Analyse gibt Aufschluss.

Update Innere Medizin

Bestellen Sie unseren Fach-Newsletter und bleiben Sie gut informiert.