Abstract
Background
Newly identified lncRNA zinc finger protein, FOG family member 2 antisense RNA 1 (ZFPM2-AS1) is identified as an oncogenic gene. However, the role of ZFPM2-AS1 in small cell lung cancer (SCLC) is poorly comprehended.
Methods
The expression of genes in SCLC tissues and cells was measured by qRT-PCR. Colony formation, EdU, CCK-8, transwell and wound healing as well as in vivo assays revealed the function of ZFPM2-AS1 in SCLC. ChIP, luciferase reporter, RIP and RNA pull down assays demonstrated the binding relation among genes.
Results
ZFPM2-AS1 was significantly upregulated in SCLC tissues and cells. ZFPM2-AS1 deficiency attenuated SCLC cell proliferation, invasion and migration. In addition, ZFPM2-AS1 was transcriptionally activated by Yin Yang 1 (YY1) factor. Further, miR-3612 was confirmed as downstream miRNA of ZFPM2-AS1. Moreover, TNF receptor associated factor 4 (TRAF4) was the target gene of miR-3612 in SCLC. ZFPM2-AS1, miR-3612 and TRAF4 jointly constituted a competing endogenous RNA (ceRNA) network in SCLC. Finally, TRAF4 could countervail ZFPM2-AS1 downregulation-mediated function on SCLC cell proliferation and invasion in vitro and tumor growth in vivo.
Conclusion
Our study elucidated the oncogenic effect of ZFPM2-AS1 in SCLC progression, indicating it may be a therapeutic target for SCLC.
Keywords: ZFPM2-AS1, miR-3612, TRAF4, YY1, SCLC
Background
Statistically, lung cancer is characterized with the highest incidence, occupying 11.6% of cancer-induced mortalities [1]. Domestically, the estimated number of diagnosed lung cancer was 733,300 with 610,200 death cases in 2015, indicating the life-threatening influence of lung cancer [2]. Compared with non-small‐cell lung cancer (NSCLC), small‐cell lung cancer (SCLC) only accounts for a minor part in lung cancer. More surprisingly, SCLC is substantiated as the subtype with highest risk of aggressiveness due to its rapid growth and early invasiveness [3, 4]. Additionally, 5-year survival of SCLC is lower than 10%, meanwhile, the dreadful median survival of it is unsatisfactory [5–7]. Nevertheless, the number of existing research focusing on SCLC is limited.
The transcribed RNA contains non-coding RNAs (ncRNAs) in large quantity, which are limited in protein-coding [8]. Long non-coding ncRNAs (lncRNAs), containing over 200 nucleotides in length, belong to ncRNAs. Further lncRNAs are validated to exert multiple functions in biological processes [9]. Their epigenetic silencing was constituted by lncRNA-miRNA interplay and lncRNA-protein interaction [10]. MicroRNAs (miRNAs), typically 18–200 nucleotides in length, has extensively reported by researches in tumor, and up to 30% of mRNAs are regulated by thousands of miRNAs [9]. LncRNAs could competitively bind miRNAs to modulate the expression of target mRNAs, forming a ceRNA network [11, 12]. For instance, lncRNA PVT1 enhances insulin like growth factor 1 receptor (IGF1R) expression to promote cell proliferation and invasion in papillary thyroid carcinoma by acting as ceRNA of miRNA-30a [13]. LncRNA RP4 serves as a ceRNA for SH3GLB1 to sponge miR-7-5p in colorectal cancer [14]. LINC00488 upregulates TLN1 as a ceRNA in hepatocellular carcinoma cell growth through sponging miR-330-5 [15]. Above all, lncRNAs could affect tumorigenesis via gene modulation. Moreover, various cancers including SCLC are functionally associated with abnormally expressed lncRNAs [16, 17]. For example, highly expressed AFAP1-AS1 is correlated with nasopharyngeal carcinoma metastasis [18]. And overexpressed LINC00511 is implicated in breast cancer tumourigenesis and stemness [19]. Nevertheless, the investigation about participation of lncRNAs in SCLC is limited.
ZFPM2-AS1 interested us due to its close association with diverse cancers. In previous researches, ZFPM2-AS1 facilitated gastric cancer through inhibiting the p53 pathway [20]. Besides, it served as prognosis biomarker in hepatocellular carcinoma [21]. Moreover, ZFPM2-AS1 induced renal cell cancer tumorigenesis through targeting miR-137 [22]. Also, ZFPM2-AS1 regulated miR-18b-5p/VMA21 axis to promote lung adenocarcinoma progression [23]. Therefore, this study aimed to investigate the role and regulatory mechanism of ZFPM2-AS1 in SCLC.
Materials and methods
Patient tissues
In this study, total 54 pairs of small cell lung cancer (SCLC) tissues and matched normal tissues were collected under the approval from the Ethics Committee of Minhang Hospital, Fudan University. All participants were not treated with radiotherapy and chemotherapy before operation. Tumor tissues and respective normal tissues were snap-frozen in liquid nitrogen at − 80 °C until requested.
Cell culture
Human bronchial epithelial cell (16-HBE) and human SCLC cells (DMS-53, H446, SHP-77, H69) were obtained from American Type Culture Collection (ATCC, Rockville, MD, USA). Cells were cultured in DMEM (Thermo Fisher Scientific, Waltham, MA, USA) with 10% fetal bovine serum (FBS, Gibco, Carlsbad, CA, USA) and 1% penicillin or streptomycin (Gibco) at 37 °C with 5% CO2.
Transfection
The short hairpin RNAs (shRNAs) targeting ZFPM2-AS1 (sh-ZFPM2-AS1#1/#2/#3), YY1 (sh-YY1#1/#2) and negative control (shNC) were obtained from Genechem (Shanghai China), transfected into DMS-53 and SHP-77 cells, respectively. The pcDNA3.1/YY1, pcDNA3.1/ZFPM2-AS1, pcDNA3.1/TRAF4 and empty pcDNA3.1 vector were constructed by KeygenBiotech (Nanjing, China), along with miR-3612 mimics/inhibitor and NC mimics/inhibitor. Using Lipofectamine 2000 (Invitrogen, Carlsbad, Calif, USA), cell transfection was conducted.
Quantitative real-time polymerase chain reaction (qRT-PCR)
TRIzol reagent (Invitrogen, Carlsbad, CA, USA) was applied to extract total RNA from cells. Then, Reverse Transcription Kit was used to conduct the reverse transcription between total RNA and cDNA. qRT-PCR was performed in line with SYBR-Green Real-Time PCR Kit (Takara, Tokyo, Japan). Relative gene expression was operated with 2−ΔΔCt method and normalized to the GAPDH or U6.
Colony formation assay
DMS-53 or SHP-77 cells were cultivated in 6-well plates after transfection. Two weeks later, cells were washed with PBS (Solibao technology, Beijing, China), fixed in methanol (Solibao technology) and stained with crystal violet (Solibao technology). Finally, the colony numbers were counted manually.
Cell proliferation assay
The viability of DMS-53 or SHP-77 cells was detected by the use of CCK-8 Kit (Sigma-Aldrich, Carlsbad, USA). Cells were placed into 96-well plates at specific time points. 10 μl CCK-8 were added into each well for 4 h. To measure the absorbance at 450 nm, the microplate reader (Bio-Rad, Hercules, CA, USA) was utilized.
Transwell assay
2 × 104 cells were re-suspended in serum-free medium and were cultured in the top transwell chamber (BD Biosciences, NY, USA). Then, 10% PBS was added to the lower chamber. Migrated cells were fixed with methanol and dyed in crystal violet, followed by observation under microscope (Leica Microsystems, Wetzlar, Germany). Invasion assay was conducted the same as above, but pre-coated with matrigel (BD Bioscience).
EdU incorporation assay
Based upon the standardized guides, cells were cultured with DMEM supplemented with 300 μl EdU for 2 h after transfection. Then, cells were fixed with 4% formaldehyde (Solibao technology) at room temperature for 30 min. After staining, cells were observed under fluorescence microscope (Leica Microsystems). Besides, EdU-positive cells (stained in red) are cells that were proliferating, and DAPI stained cells (stained in blue) were total cells.
Wound healing assay
Cells were seeded to 6-well plates and cultivated with general cell growth fluid. The sterile pipette was used to make scratches in cell layers when cells were paved. Once cells were cleaned, the medium was replaced. Ultimately, the images were collected and analyzed.
Western blot
The cells were lysed with RIPA lysis buffer containing protease inhibitor and the complete DNA was obtained. After detecting the protein concentrations by BCA method, proteins were isolated by sodium dodecyl sulfate polyacrylamide gel electrophoresis (SDS-PAGE) gel electrophoresis, and were then transferred to PVDF. The membrane was incubated with primary antibodies overnight after PVDF was sealed with skim milk. The primary antibodies including: anti-YY1 (ab109237, Abcam, Cambridge, USA), anti-CBX5 (ab109028, Abcam) anti-TRAF4 (ab190986, Abcam), anti-TAOK1 (ab197891, Abcam) and anti-GAPDH (ab8245, Abcam) at 4 °C. Following that, the chemiluminescence system (Hubei Biossci Biotechnology, Wuhan, China) was employed for detecting the protein.
Chromatin immunoprecipitation (ChIP) assay
ChIP assay was implemented with the application of EZ ChIP™ Chromatin Immunoprecipitation Kit for cells (Millipore, Bedford, MA), following then standard method. DMS-53 or SHP-77 cells were fixed with 1% formaldehyde for 15 min’s crosslink and lysed, and then the DNA was sonicated for shearing DNA into 500-bp fragments. DNA samples were precipitated with anti-IgG or anti-YY1 antibody for 6 h, in the presence of 30 μl of magnetic beads. Subsequently, the precipitated chromatin DNA was collected, extracted and purified for qRT-PCR analysis.
Luciferase reporter assay
The ZFPM2-AS1 promoter was sub-cloned into pGL3 vector to construct reporter plasmids and then was co-transfected with pcDNA3.1/YY1 or sh-YY1 in DMS-53 and SHP-77 cells. ZFPM2-AS1 or TRAF4 fragments containing the predicted binding site of miR-3612 were sub-cloned into pmirGLO dual-luciferase plasmid (Promega, Madison, WI, USA) and named as ZFPM2-AS1-WT/TRAF4-WT. ZFPM2-AS1-MUT/TRAF4-MUT was generated by mutations in specific binding site. SHP-77 or DMS-53 cells were co-transfected with indicated plasmids or miR-3612 mimics, NC mimics, miR-3612 inhibitor or NC inhibitor. After 48 h, the dual-luciferase activity was assessed by the Dual-Luciferase Reporter Assay System (Beinuo Biotechnology, Shanghai, China).
Subcellular fractionation
According to the indicated protocols, Cytoplasmic and Nuclear RNA Purification Kit (Norgen, Ontario, Canada) was employed for isolating and purifying cytoplasmic and nuclear RNA. Expression levels of ZFPM2-AS1 were assessed by qRT-PCR analysis. GAPDH and U1 were used to control of cytoplasm or nucleus.
RNA pull down assay
Bio-miR-miR-3612-Mut/Wt and Bio-NC were acquired via biotin-labeling miR–miR-3612-Wt/Mut and NC. ZFPM2-AS1 biotin probe and no ZFPM2-AS1 probe constructed by GenePharma were treated with M-280 Streptavidin magnetic beads (Invitrogen). Then, cells were collected, lysed, and incubated with probe-coated beads overnight for 48 h. RNA complexes after purification were detected by qRT-PCR assay.
RNA immunoprecipitation (RIP) assay
Cells were lysed, incubated with anti-Ago2 and anti-IgG antibodies (Millipore, Bellerica, MA, USA) coated on magnetic beads in RIP buffer. The precipitated RNAs were isolated for qRT-PCR.
Fluorescence in situ hybridization (FISH) assay
ZFPM2‐AS1 subcellular localization was detected using a FISH Kit (Roche, Basel, Switzerland). Cells were mixed with paraformaldehyde for fixation. Then, ZFPM2‐AS1 probe (Sigma-Aldrich) hybridization solution was added. Cell nucleus was stained for 10 min at room temperature. Lastly, the laser confocal scanning microscopy (FV1000; Olympus, Tokyo, Japan) was used.
Animal study
Female BALB/C athymic nude mice (18–20 g; 6-week-old) were procured from the National Laboratory Animal Center (Beijing, China) and kept under the SPF-grade animal lab. The animal study was undertaken with the approval from the Animal Research Ethics Committee of Minhang Hospital, Fudan University. In vivo study was implemented via subcutaneous injection of 5 × 106 transfected SCLC cells to mice for 28 days, with tumor volume monitored every 4 days. The tumors collected from killed mice were weighed for analysis.
Statistical analysis
GraphPad Prism 7 software package (Graph-Pad Software, Inc., La Jolla, CA, USA) was used for the statistical analysis. Quantitative data were showed as mean ± standard deviation. Student’s-test and ANOVA was used to compare the difference of groups. P < 0.05 had statistically significance. The experiment was conducted at least in thrice.
Results
Down-regulation of ZFPM2-AS1 suppressed malignant behaviors of SCLC cells
Firstly, we detected that ZFPM2-AS1 was upregulated in SCLC tissues compared with matched normal group (Additional file 1: Fig. S1A). Then the expression pattern of ZFPM2-AS1 in SCLC cells (H69, DMS-53, H446, SHP-77) and human bronchial epithelial cells (16-HBE) was measured. Results of qRT-PCR indicated that ZFPM2-AS1 was highly expressed in SCLC cell lines rather control cells. Besides, DMS-53 and SHP-77 cells contained higher level of ZFPM2-AS1 than other two SCLC cells (Fig. 1a). ZFPM2-AS1 was knocked down via transfecting sh/ZFPM2-AS1#1/2/3 plasmids into DMS-53 and SHP-77 cells. And knockdown efficiency of sh/ZFPM2-AS1#/2/3 was more obvious (Fig. 1b). Therefore, loss-of-function assays of ZFPM2-AS1 were performed utilizing sh/ZFPM2-AS1#2 and sh/ZFPM2-AS1#3 plasmids. ZFPM2-AS1 inhibition strikingly decreased SCLC cell proliferation, evidenced by colony formation and EdU assays (Fig. 1c, d). CCK-8 assay further verified this result. Cell viability was impaired by ZFPM2-AS1 downregulation (Fig. 1e). Following ZFPM2-AS1 depletion, the migration and invasion of cells were slowed down (Fig. 1f). Meanwhile, wound healing assay convinced that silencing of ZFPM2-AS1 would weaken cell migration ability (Fig. 1g, Additional file 1: Figure S1B). To sum up, SCLC cell proliferation, invasion and migration were depressed by knockdown of ZFPM2-AS1, which was upregulated in SCLC tissues and cells.
ZFPM2-AS1 was transcriptionally activated by YY1
The implication of transcription factor in lncRNAs couldn’t be ignored [24]. Therefore, the possible upstream factors of ZFPM2-AS1 were analyzed via searching UCSC (http://genome.ucsc.edu/). Data indicated that YY1 was qualified one. Further, through JASPAR (http://jaspar.genereg.net/), the binding site YY1 between and ZFPM2-AS1 promoter (P1) was predicted (Fig. 2a). In addition, the upregulated expression tendency of YY1 in SCLC tissues was verified by qRT-PCR (Additional file 1: Fig. S1C). Next, the regulatory role of YY1 on ZFPM2-AS1 expression was detected. The satisfactory efficiency of YY1 overexpression or knockdown was confirmed by qRT-PCR and western blot (Fig. 2b, c). Subsequently, ZFPM2-AS1 expression was decreased or increased when downregulating or upregulating YY1 (Fig. 2d). Moreover, the binding relation between YY1 and ZFPM2-AS1 promoter was well illuminated in ChIP assay. Abundant enrichment of ZFPM2-AS1 promoter was observed in anti-YY1 group (Fig. 2e). Moreover, luciferase reporter assay detected that luciferase activity of wild ZFPM2-AS1 promoter (P1) was reduced upon YY1 knockdown while that of mutant ZFPM2-AS1 (P1) presented no change. On the contrary, upregulation of YY1 led to an increase in luciferase activity of wild ZFPM2-AS1 promoter (Fig. 2f, g). In a summary, ZFPM2-AS1 was transcriptionally activated by transcription factor YY1 in SCLC.
ZFPM2-AS1 acted as sponge of miR-3612
The downstream regulation mechanism of ZFPM2-AS1 was then explored. Firstly, subcellular fractionation assay determined that ZFPM2-AS1 expression mainly distributed in SCLC cytoplasm, further was confirmed by FISH assay (Fig. 3a, b). Then five miRNAs (miR-515-5p, miR-519e-5p, miR-653-5p, miR-4428, miR-3612) were discovered to possibly bind with ZFPM2-AS1 by starBase (http://starbase.sysu.edu.cn/) and DIANA (http://carolina.imis.athena-innovation.gr/diana_tools/web/index.php?r=site%2Ftools) (Fig. 3c). RNA pull-down assay was used to screen out miR-3612 due to its obvious enrichment in ZFPM2-AS1 probe-precipitated complex compared with other four miRNAs (Fig. 3d). Besides, miR-3612 was downregulated in SCLC tissues in comparison with control group (Additional file 1: Fig. S1D). As shown in Fig. 3e, the binding site between ZFPM2-AS1 and miR-3612 were predicted by starBase. Subsequently, luciferase reporter assay examined that miR-3612 mimics efficiently decreased the luciferase activity of ZFPM2-AS1-WT in SHP-77 and DMS-53 cells. In addition, large enrichments of ZFPM2-AS1 and miR-3612 were measured in anti-Ago2 group (Fig. 3f). Next, the regulation role of ZFPM2-AS1 in miR-3612 level was assessed. ZFPM2-AS1 expression was increased in pcDNA3.1/ZFPM2-AS1 transected cells (Fig. 3g). MiR-3612 level was negatively regulated by ZFPM2-AS1 in SHP-77 and DMS-53 cells (Fig. 3h). In conclusion, miR-3612 was sponged by ZFPM2-AS1 in SCLC cells.
ZFPM2-AS1 upregulated TRAF4 expression via sequestering miR-3612
The decisive role of mRNAs in the regulating cancer progression induced us to find out the target gene of miR-3612. RNA22, microT, PicTar, and miRmap were employed for the exploration of miR-3612 targets. Three genes (CBX5, TRAF4, TAOK1) were revealed as candidates (Fig. 4a). Via the detections of qRT-PCR and western blot, miR-3612 negatively regulated TRAF4 expression in SHP-77 and DMS-53 cells (Fig. 4b). Additionally, TRAF4 was highly expressed in SCLC tissues rather normal tissues (Additional file 1: Fig. S1E). In a similar way, the predicted binding site of TRAF4 and miR-3612 was obtained. Luciferase reporter assay was conducted to evaluate the effectiveness of the indicated binding site. The activity of TRAF4-WT in SHP-77 and DMS-53 cells was repressed by miR-3612 mimics or simulated by its inhibitor (Fig. 4c, d). Besides, RIP assay demonstrated the co-existence of ZFPM2-AS1, miR-3612 and TRAF4 in Ago2-specific complex (Fig. 4e). Also, the enrichment of ZFPM2-AS1 and TRAF4 was detected in Bio-miR-3612 sense group (Fig. 4f). Subsequently, it verified that silencing of ZFPM2-AS1 decreased TRAF4 mRNA and protein expressions, while suppressing miR-3612 could countervail this repressing effect (Fig. 4g, h). It concluded that ZFPM2-AS1 competitively bound miR-3612 to upregulate TRAF4 expression in SCLC cells.
ZFPM2-AS1 contributed to cell proliferation, invasion, migration and tumor growth in SCLC via upregulating TRAF4
To certify whether TRAF4 affected the modulation function of ZFPM2-AS1 in SCLC cell growth, several rescue experiments were carried out. TRAF4 was overexpressed firstly, and its mRNA and protein levels were enhanced remarkably (Fig. 5a). Afterwards, TRAF4 elevation abolished the hindering effects of ZFPM2-AS1 depletion on cell proliferation (Fig. 5b–d). ZFPM2-AS1 inhibition induced the suppressed cell migration and invasion, while upregulating TRAF4 expression counteracted this inhibitory influence (Fig. 5e). Wound healing assay revealed that overexpression of TRAF4 attenuated the suppressive role of ZFPM2-AS1 deficiency on cell migration (Fig. 5f, Additional file 2: Figure S2A). On the other hand, in vivo experiments were also performed. The tumors extracted from mice injected with sh/ZFPM2-AS1#2-transfected cells were smaller and lighter than NC group. Then TRAF4 overexpression offset the suppressing effects of ZFPM2-AS1 depletion on tumor size, volume and weight (Additional file 2: Fig. S2B–D). In conclusion, ZFPM2-AS1 promoted SCLC via upregulating TRAF4 both in vitro and in vivo.
Discussion
Recently, the biological importance of multiple lncRNAs in tumor progression has been emphasized extensively, indicating the possibility of the molecular-targeted application in treatment of tumors including SCLC. And the key role of lncRNAs in SCLC progression has been reported. For example, lncRNA HOTAIR is associated with cellular proliferation, invasion, and clinical reoccurrence in SCLC [25]. LncRNA TUG1 affects SCLC cell growth via regulating LIMK2b through EZH2 [26]. LncRNA PVT1 overexpression serves as a poor prognostic maker in SCLC, and facilitates malignant migration and invasion of cells [27]. In our research, lncRNA ZFPM2-AS1, located in 8q23.1, was an oncogenic gene in gastric cancer, renal cell cancer and lung adenocarcinoma [20, 22, 23]. Nonetheless, the role of ZFPM2-AS1 in SCLC was rarely discussed. In our research, we found its significantly high expression tendency in SCLC tissues and cell lines. Functionally, ZFPM2-AS1 insufficiency inhibited SCLC cell proliferation, invasion and migration in vitro and tumor growth in vivo, suggesting the carcinogenic role of ZFPM2-AS1 in SCLC.
Accumulating literatures showed that lncRNAs transcription could be attributed to specific transcriptional factors, including YY1. For instance, c-Myc activates lncRNA CCAT1 expression in gastric cancer [28]. STAT3 regulates the upregulation of lncRNA to affect in liver cancer metastasis [29]. YY1 contributes to lncRNA-PVT1 activation during lung cancer progression [30]. Besides, YY1, a ubiquitous protein in normal and tumor tissues, is identified as a potential prognosis biomarker and therapeutic target [31]. In this study, YY1 could bind with ZFPM2-AS1 promoter and transcriptionally activated ZFPM2-AS1 in SCLC cells.
After comprehending upstream regulation mechanism of ZFPM2-AS1, the downstream regulation mechanism also deserved to be discussed. Cytoplasmic lncRNAs participate in the ceRNA pattern in tumors. For illustration, lncRNA HOTAIR promotes HER2 expression through sponging miR-331-3p in gastric cancer [32]. LncRNA Unigene56159 accelerates EMT process in hepatocellular carcinoma via sponging miR-140-5p to regulate Slug [33]. Concerning the mechanism underlying ZFPM2-AS1 in SCLC, we hypothesized the ceRNA role of ZFPM2-AS1 in SCLC due to its large portion in SCLC cytoplasm. As expected, ZFPM2-AS1 could sponge miR-3612 to release TRAF4 expression. Moreover, the tumor-facilitator role of TRAF4 has been validated in hepatocellular carcinoma [34], intrahepatic cholangiocarcinoma [35], breast cancer [36], and colon cancer [37]. More importantly, TRAF4 is confirmed to promote the development of lung cancer [38–40]. And our study first illuminated that TRAF4 was involved in SCLC progression. TRAF4 overexpression reversed the suppressive function of ZFPM2-AS1 depletion on SCLC cell proliferation, invasion and migration in vitro as well as tumor growth in vivo.
Conclusion
YY1-activated ZFPM2-AS1 promoted the malignant phenotypes of SCLC via sequestering miR-3612 to upregulate TRAF4, which possibly provide a promising candidate target for SCLC treatment.
Supplementary information
Acknowledgements
Thanks for all participants.
Abbreviations
- AFAP1-AS1
Actin filament associated protein 1 antisense RNA 1
- ANOVA
Analysis of variance
- ATCC
American Type Culture Collection
- CCAT1
Colon cancer associated transcript 1
- CCK-8
Cell counting kit-8
- ceRNA
Competing endogenous RNA
- ChIP
Chromatin immunoprecipitation
- DMEM
Dulbecco’s modified eagle medium
- EdU
5-ethynyl-2-deoxyuridine
- EZH2
Enhancer of zeste 2 polycomb repressive complex 2 subunit
- FBS
Fetal bovine serum
- FISH
Fluorescence in situ hybridization
- HER2
erb-b2 receptor tyrosine kinase 2
- HOTAIR
HOX transcript antisense RNA
- IGF1R
Growth factor 1 receptor
- LIMK2b
LIM domain kinase 2
- LINC00488
Long intergenic non-protein coding RNA 488
- LINC00511
Long intergenic non-protein coding RNA 511
- lncRNAs
Long non-coding ncRNAs
- MicroRNA
miRNA
- MUT
Mutant
- ncRNAs
Non-coding RNAs
- NSCLC
Non-small‐cell lung cancer
- PVDF
Polyvinylidene fluoride
- PVT1
Pvt1 oncogene
- qRT-PCR
Quantitative real-time polymerase chain reaction
- RIP
RNA immunoprecipitation
- RP4
RHO rhodopsin
- SCLC
Small cell lung cancer
- SDS-PAGE
Sodium dodecyl sulfate polyacrylamide gel electrophoresis
- SH3GLB1
SH3 domain containing GRB2 like, endophilin B1
- shRNAs
Short hairpin RNAs
- SPF
Specific pathogen free
- STAT3
Signal transducer and activator of transcription 3
- TLN1
Talin 1
- TRAF4
TNF receptor associated factor 4
- TUG1
Taurine up-regulated 1
- VMA21
Vacuolar ATPase assembly factor VMA21
- WT
Wild
- YY1
Yin Yang 1
- ZFPM2-AS1
Zinc finger protein, FOG family member 2 antisense RNA 1
Authors’ contributions
ZY: manuscript preparation. ZY and QY: article writing, figures. WH: laboratory equipment and experiment design. MX and SW: experimental data recording and analysis. XG co-designed the study. All authors performed their constructive discussions in this study. All authors read and approved the final manuscript.
Funding
This study was supported by Shanghai Minhang District Science and Technology Commission 2019 Natural Science Research Project (2018MHZ105, 2019MHZ016) and Fuzhou University Affiliated Minhang Hospital-level Youth Research Fund (2019MHJC08).
Availability of data and materials
Not applicable.
Ethics approval and consent to participate
The approval of this study was ethically from Minhang Hospital, Fudan University.
Consent for publication
The paper has been proofread by all authors enrolled in this study, and they have permitted the submission and publication of this paper.
Competing interests
The authors declare that they have no competing interests.
Footnotes
Publisher's Note
Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.
Zhijun Yan and Qilian Yang are co-first authors
Contributor Information
Zhijun Yan, Email: yanwus699259@163.com.
Qilian Yang, Email: masterychy@126.com.
Min Xue, Email: minqunta30636093@163.com.
Sheng Wang, Email: bisheng215814714@163.com.
Weijun Hong, Email: hong84114003@163.com.
Xiwen Gao, Email: gaomus588155@163.com.
Supplementary information
Supplementary information accompanies this paper at 10.1186/s12935-020-1157-7.
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