- Open Access
A positive feed-forward loop between LncRNA-URRCC and EGFL7/P-AKT/FOXO3 signaling promotes proliferation and metastasis of clear cell renal cell carcinoma
Molecular Cancer volume 18, Article number: 81 (2019)
The aberrant expression of long noncoding RNAs (lncRNAs) has recently emerged as key molecules in human cancers; however, whether lncRNAs are implicated in the progression of clear cell renal cell carcinoma (ccRCC) remains unclear.
Candidate lncRNAs were selected using microarray analysis and quantitative real-time PCR (qRT-PCR) was performed to detect lncRNAs expression in human ccRCC tissues. Overexpression and knocking down experiments in vivo and in vitro were performed to uncover the biological roles of lncRNA-URRCC on ccRCC cell proliferation and invasion. Microarray, chromatin immunoprecipitation, Luciferase reporter assay and western blot were constructed to investigate the molecular mechanisms underlying the functions of lncRNA-URRCC.
The microarray analysis and qRT-PCR identified a new lncRNA, URRCC, whose expression is upregulated in RCC samples and associated with poor prognosis, leading to promote ccRCC cell proliferation and invasion. Mechanistically, URRCC enhances the expression of EGFL7 via mediating histone H3 acetylation of EGFL7 promoter, activation of P-AKT signaling, and suppressing P-AKT downstream gene, FOXO3. In return, FOXO3 could inhibit the transcription of URRCC via binding to the special region on the promoter of URRCC.
Our data suggests that targeting this newly identified feed-back loop between LncRNA-URRCC and EGFL7/P-AKT/FOXO3 signaling may enhance the efficacy of existing therapy and potentially imparts a new avenue to develop more potent therapeutic approaches to suppress RCC progression.
Renal cell carcinoma (RCC) is one of the most aggressive human genitourinary cancers and accounts for approximately 4% of adult malignancies [1, 2]. The most common histologic subtype clear cell RCC (ccRCC) derives from the epithelial cells of the proximal renal tubule and associates with high metastatic rate and poor prognosis. Accumulating evidence has demonstrated that ccRCC resists radiotherapy and chemotherapy [3, 4]. Anti-angiogenesis drugs targeting VEGF signaling, such as multiple kinase inhibitors (Sunitinib or Pazopanib) have been recently approved and used for the treatment of advanced or metastatic ccRCC. However, the therapeutic effects are limited for a short time and the patients eventually relapse . Therefore, the detailed mechanism exploring ccRCC tumorigenesis is needed to be testified.
Long non-coding RNAs (lncRNAs) represent a class of non-protein coding RNA species longer than 200 nucleotides in length [6, 7]. Functionally, lncRNAs emerge as the important players in carcinogenesis and have various biological effects such as cell apoptosis, growth, migration, invasion, metastasis and so forth [8,9,10,11]. Mechanistically, lncRNAs involve miRNA binding sites and serve as sponges to arrest miRNA function . Besides, lncRNAs directly interacts with proteins to augment or attenuate their function . Furthermore, lncRNAs impart their functions in new available strategies for early clinical cancer diagnosis and therapy [14,15,16]. In renal cancer, the aberrant expression signatures of lncRNAs have been revealed, contributing to new insights into the exploration and discovery of genitourinary malignancies [17, 18]. However, the validation of lncRNAs for clinical biomarkers and the identification of lncRNAs for molecular mechanisms in ccRCC are yet to be elucidated.
Epidermal growth factor-like domain-containing protein 7 (EGFL7), which is up-regulated in several cancers, is involved in neoplasm growth and metastasis [19,20,21]. Not only EGFL7 plays a key role in the promotion of hepatocellular carcinoma metastasis and glioma angiogenesis [19, 22], but also its stimulating effect on fibroblast proliferation and migration may provide a useful strategy for wound healing . Furthermore, EGFL7 is reported to be epigenetic modified in gastric cancer and esophageal squamous cell carcinoma [24, 25]. Therefore, as a vital tumor-inducer, EGFL7 involving the epigenetic network in ccRCC progression holds promise for ccRCC-targeted therapy.
In this study, we focus our attention on the clinical outcomes, biological function and molecular mechanisms of a new identified lncRNA-URRCC leading to ccRCC progression. Upregulated URRCC expression is sufficiently associated with tumor size, clinical T stage, metastasis and reduced overall survival of ccRCC patients. Mechanistically, histone H3 acetylation of EGFL7 promoter caused by URRCC could increase AKT signaling pathway and suppress P-AKT downstream FOXO3 signaling, enhancing cell proliferation and invasion in vitro and in vivo. Interestingly, FOXO3 could in turn downregulate URRCC expression via directly binding to its promoter region, thus forming a novel feedback loop which could provide a promising therapeutic target for ccRCC.
Materials and methods
Microarray analysis for the expression of lncRNAs was performed by Shanghai Gminix Biological Information Company (Shanghai, China), applying a pipeline as previously described [26, 27] to identify the probe sets uniquely mapped to lncRNAs from the Affymetrix array, in which special way can evaluate the lncRNA expressions in RCC gene expression data. The accession numbers for the microarray data are Gene Expression Omnibus database GEO: GSE46699 and GSE53757 [28, 29]. Gene expression profiles of the 786-O cells with or without URRCC downregulation were determined using Human Cancer Focus mRNA PCR Array following the manufacturer’s instructions. Microarray experiments were performed by KangChen Bio-tech, Shanghai, China. The differentially expressed genes with statistical significance were identified using volcano plot filtering. The threshold we used to screen upregulated or downregulated genes is fold change > = 2.0 and a p-value <= 0.05.
A total of 116 tumor samples and paired non-cancerous renal tissues were obtained from patients who underwent partial or radical nephrectomy in Department of Urology, Shanghai Tenth People’s Hospital, Tongji University (Shanghai, China). The fresh tissues were frozen in liquid nitrogen to protect the protein or RNA away from degradation. The use of human tissues was approved by the ethics committee of Shanghai Tenth People’s Hospital.
The human RCC cell lines A498, 786-O, CaKi-1, ACHN, 769-P and OSRC-2 and human normal renal tubular epithelial cell line HK-2 were obtained from Cell Bank of the Chinese Academy of Sciences (Shanghai, China). A498 was cultured in Dulbecco’s Modified Eagle’s Medium (DMEM, Gibco, USA) plus 10% Fetal Bovine Serum (FBS, Hyclone, USA) with 1% Penicillin/Streptomycin (P/S, Gibco, USA). 786-O, CaKi-1, ACHN, 769-P and OSRC-2 cells were cultured in RMPI 1640 (Gibco, USA) plus 10% Fetal Bovine Serum (FBS, Hyclone, USA) with 1% Penicillin/Streptomycin (P/S, Gibco, USA). HK-2 cells were cultured in Keratinocyte Medium (KM, ScienCell, USA) plus 1% Keratinocyte Growth Supplement (KGS, ScienCell, USA) with 1% Penicillin/Streptomycin (P/S, ScienCell, USA). All cells described above were cultured at 37° in 5% CO2.
Cell transfection and vector construction
According to the manufacturer’s protocol, short interfering RNA (siRNA) si-EGFL7/si-FOXO3/si-NC (IBS Solutions Co. Ltd., China) were transiently transfected in A498 cells using Lipofectamine 3000 (Invitrogen, USA) at a final concentration of 100 nM. Lentiviral sh-control/sh-URRCC and oe-URRCC/oe-FOXO3 were purchased from Shanghai Integrated Biotech Solutions Co., Ltd. Lentiviral infection was performed as previously described [30, 31]. In order to avoid the off-target effects of shRNA, we designed two different shRNAs for lncRNA-URRCC and two different siRNAs for EGFL7 and FOXO3. The sequences of oligonucleotides used in this experiment were listed in Additional file 1: Table S1 and Additional file 2: Table S2.
Fluorescent in situ hybridization (FISH)
FISH was performed as previously described . It is a powerful technique that uses non-toxic fluorescent DNA probes to target any given sequence within a nucleus, resulting in colored signals that are detected with a fluorescence microscope and was performed at Biosense Co. Ltd. Paraffin-embedded tissue blocks were retrospectively retrieved from renal cancer patients. Quantum dot fluorescent in situ hybridization (QD-FISH) was performed to detect the presence of URRCC using a digoxin-labeled oligonucleotide probe indirectly labeled with digoxin-antibody-conjugated quantum dots.
Isolation of cytoplasmic and nuclear RNA
Cytoplasmic and nuclear RNA were isolated and purified using the Cytoplasmic & Nuclear RNA Purification Kit (Norgen, Belmont, CA) according to the manufacturer’s instructions.
RCC cell proliferation assay
RCC cells were seeded in 24-well plates (3000 cells/well) and cultured for 0, 2, 4, or 6 days. Cells were harvested and cell numbers were calculated using MTT agent. DMSO was used as the control. We added 250 μl of 5 mg/ml MTT to each well, incubated for 2 h in incubator at 37 °C, removed the media and added 150 μl DMSO. We then covered with tinfoil and agitated cells on orbital shaker for 15 min and then read the absorbance at 570 nm.
RCC cell invasion assay
The invasive capability of RCC cells was determined by the Transwell assay. The upper chamber of Transwll was pre-covered with Matrigel (BD356230, CORNING, USA). RCC cells were harvested and seeded with serum-free DMEM into the upper chambers at 5 × 104 cells/well, and the bottom chambers contained DMEM with 10% FBS, and then transwells incubated for 24 or 36 h at 37 °C. Following incubation, the invasive cells attached to the lower surface of the membrane were fixed by 4% paraformaldehyde and stained with 1% toluidine blue. Cell numbers were counted in five randomly chosen microscopic fields (100×) per membrane.
Xenograft subcutaneous implantation and tail vein implantation
Six-week-old male BALB/c nude mice were purchased from ShanghaiSipper-BK laboratory animal Company (Shanghai, China). After 5 days of adapting to the environment, a total of 1 × 106 A498 cells (stably transfected with sh-URRCC and sh-control) and OSRC-2 cells (stably transfected with oe-URRCC and mock) were injected hypodermically into the right armpit or tail vein of each mouse, respectively (n = 8 mice/group). Cells were also transduced with luciferase for the non-invasive in vivo imaging system (IVIS) (NightOWL II, LB983, Berthold Technologies, Germany) that was performed once a week. The tumor volume and the weight of each mouse were measured per week. The mice were killed on the 60th days after injection. We also measured and recorded the weight of each tumor. All animal studies were approved by the Institutional Animal Care and Use Committee of the Shanghai Tenth People’s hospital.
RNA isolation and quantitative real-time PCR (qRT-PCR)
Total RNA was extracted from frozen tissues or cells using Trizol reagent (Invitrogen, USA) according to the manufacturer’s instructions. Reverse transcription was performed using a PrimeScript RT reagent kit (TaKaRa, Japan), and qRT–PCR was performed with KAPA SYBR FAST qPCR Kit (Kapa Biosystems, USA) using a 7900HT Fast Real-Time PCR System (Applied Biosystems, Japan). The mRNA and lncRNA levels were normalized against β-actin in cell and tissue lysates. The miRNA levels were normalized against U6. Data were analyzed using the 2-ΔΔCt method. The primer sequences were listed in the Additional file 1: Table S1.
Western blot (WB)
Protein extracts were separated from cells or human tissues by RIPA buffer containing protease inhibitors. 30 μg of protein extracts were loaded to 8–10% sodium dodecylsulfate–polyacrylamide gel electrophoresis gels and transferred onto nitrocellulose membranes. The membranes were hybridized with a primary antibody at 4 °C overnight, and incubated with a secondary antibody in 1 h at room temperature. The expression of β-actin was used as loading control. The intensity of the fluorescence was scanned by the Odyssey scanner (LI-COR Biosciences, USA). The information of antibodies was listed as follow: EGFL7 (1:500, proteintech, 19,291–1-AP), AKT (1:10000, Abcam, ab179463), P-AKT (1:1000, Abcam, ab131443), FOXO3 (1:500, Abcam, ab12162), H3K27ac (1:1000, Abcam, ab4729), H3 (1:1000, Abcam, ab1791), β-actin (11,000, Abcam, ab8226).
Immunohistochemistry for the target molecules was performed on paraffin sections using a primary antibody against EGFL7 (1:50, proteintech, 19,291–1-AP), FOXO3 (1:500, Abcam, ab12162), P-AKT (1:50, Abcam, ab131443), Ki67 (1:500, Abcam, ab92742) and the proteins in situ were visualized with 3, 3-diaminobenzidine. For histological scoring, 3 high power fields (magnification, × 400) were randomly selected from renal cancer tissues and normal renal tissues. The reactivity degree was assessed by at least two pathologists without knowledge of the clinicopathological features of the tumors. The degree of positivity was initially classified according to scoring both the proportion of positive staining tumor cells and the staining intensities. Scores representing the proportion of positively stained tumor cells were graded as: 0 (< 10%); 1 (11–25%); 2 (26–50%); 3 (51–75%) and 4 (> 75%). The intensity of staining was determined as: 0 (no staining); 1 (weak staining = light yellow); 2 (moderate staining = yellow brown); and 3 (strong staining = brown). The staining index (SI) was calculated as the product of staining intensity × percentage of positive tumor cells, resulting in scores of 0, 1, 2, 3, 4, 6, 8, 9 and 12. Only cells with clear tumor cell morphology were scored.
Chromatin immunoprecipitation assay (ChIP)
EZ ChIP™ Chromatin Immunoprecipitation Kit (Millipore, Bedford, MA, USA) and the EpiQuik Tissue Acetyl-Histone H3 and H4 CHIP Kit (Epigentek Group Inc., NY, USA) were used to perform ChIP assays. In brief, cells were crosslinked with 4% formaldehyde for 10 min followed by cell collection and sonication with a predetermined power to yield genomic DNA fragments of 300–1000 bp long. The chromatin was immunoprecipitated using an anti-acetyl-histone H3 or anti-acetyl-histone H4 antibody, or anti-FOXO3 antibody. Normal mouse IgG or normal rabbit IgG were used as the negative control. qRT-PCR was conducted using KAPA SYBR FAST qPCR Kit (Kapa Biosystems, USA). PCR products were analyzed by agarose gel electrophoresis. Specific primer sequences are listed in Additional file 1: Table S1.
Luciferase reporter assay
Cells were co-transfected with psiCHECK2 dual-luciferase reporter and pcDNA3.1-URRCC-promoter (wt or mt) or pcDNA3.1-FOXO3 using Lipofectamine 3000 (Invitrogen, USA). All groups were run in triplicate in 48-well plates. Luciferase activity was measured by Dual-Luciferase Assay (Promega, Madison, WI, USA) according to the manufacturer’s manual after 48 h of transfection. Renilla luciferase activity was normalized against Firefly luciferase activity.
The preprocessed level 3 RNA-seq data and corresponding clinical information of clear cell renal cell carcinoma patients were collected from The Cancer Genome Atlas (TCGA) database (http:// cancergenome.nih.gov/). All statistical analysis was done using IBM SPSS Statistics (Version 20.0, IBM) and Graphpad Prism V6 (GraphPad Software, Inc., 2012). Student’s t-test, one-way ANOVA, LSD-t test, Pearson chi-square test, Log-rank test, linear regression, and Cox Regression Analyses were performed as indicated. All data was considered significantly when *p<0.05.
URRCC is a novel lncRNA involved in renal malignant transformation
To search for the potential lncRNAs involved in ccRCC progression, we systematically analyzed the dis-regulated lncRNAs expression profiles of ccRCC tissues versus matched normal kidney tissues using two published GEO DataSets (GSE46699 and GSE53757). The detailed program was shown in Additional file 3: Figure S1A.
We computed the intersection between the result sets of these two datasets through heatmap analysis and focused on 3 potential lncRNAs (AK026225, BX649059 and AK055783) whose expression increased among top 50 lncRNAs that up-regulated in ccRCC tissues compared to paired normal renal tissues (Additional file 3: Figure S1B and C). The expression of these 3 lncRNAs was validated using qRT-PCR analysis and the outcome showed that only BX649059 expression was dramatically higher in 20 ccRCC tissues compared to paired noncancerous renal tissues (Fig. 1a), which was consistent with the result of datasets and the analysis of ccRCC patients from TCGA KIRC dataset (Fig. 1b and Additional file 4: Table S3). However, the other two lncRNAs (AK026225 and AK055783) seemed to be no differences between ccRCC tissues and paired noncancerous renal tissues (Additional file 3: Figure S1D). Moreover, the transcript level of BX649059 was reproducibly upregulated in 96 ccRCC tissues compared to 25 unpaired normal renal tissues (Fig. 1c). Therefore, we named BX649059 as LncRNA-URRCC (up-regulation in clear cell renal cell carcinoma). In addition, the qRT-PCR analysis revealed remarkably higher URRCC expression in a series of human renal cancer cell lines than that in human normal renal tubular epithelial cell line, HK2 cells (Fig. 1d). By contrast, such a change was not observed in the expression of the other two lncRNAs (AK026225 and AK055783) (data no shown).
Using Ensemble software, we further confirmed the character of URRCC was from clone DKFZp779P0730, position within chromosome 12: 100,623,715-100,628,286 (Additional file 3: Figure S1E). The full sequence of URRCC, with transcript length 3967 bp, was presented in Additional file 3: Figure S1F. Furthermore, RNA fluorescence in situ hybridization (FISH) on ccRCC tissues detected that URRCC (green) was mainly located in the cytoplasm while the nucleuses were stained with DAPI (blue). Subcellular fraction assay also found that URRCC was mainly located in the cytoplasm, consistent with online software lncLocator (http://www.csbio.sjtu.edu.cn/bioinf/lncLocator/) predicting the location of URRCC (Fig. 1e, f and Additional file 3: Figure S1G).
URRCC associates with ccRCC poor prognosis
To further explore the relationship between URRCC expression and the clinicopathological characteristics of 116 patients with ccRCC, we analyzed URRCC expression in ccRCC tissues. We ranked URRCC mRNA level and selected the median (4.215) of the whole set of data as the cutoff point between the high URRCC group and the low URRCC group (Fig. 1g). Clinicopathological analysis confirmed that high level of URRCC in tumors was associated with tumor size, T stage and metastasis (Additional file 5: Table S4). In the univariate analysis, high URRCC expression in tumors (hazard ratio, HR = 2.59; 95% confidence interval, CI = 1.46–4.33; p = 0.001), Tumor size (HR = 1.59; 95%CI = 1.44–2.74; p = 0.035), T stage (HR = 1.42; 95%CI = 1.25–2.68; p = 0.038) and metastasis (HR = 1.47; 95%CI = 1.05–1.86; p = 0.026) was remarkably correlated with overall survival (Additional file 6: Table S5). Multivariate analysis showed that a higher URRCC expression (HR = 2.44; 95%CI = 1.36–4.40; p = 0.003) were significantly associated with overall survival (Additional file 6: Table S5). In addition, Kaplan-Meier analysis in the 116 patients with ccRCC demonstrated that high URRCC expression level in ccRCC tissues dramatically correlated with a reduction in 5 years overall survival rates (Fig. 1h).
URRCC promotes the development of progression in ccRCC cell lines
The result above demonstrated that URRCC overexpressed in ccRCC tissues and potentially used as diagnostic or prognostic markers. To ascertain whether URRCC could impact RCC progression, we chose the shRNA with the best interference from two shRNAs, which were confirmed in 786-O and OSRC-2 cells (Additional file 7: Figure S2A and B). Preliminary experiments showed that knocking down the expression of URRCC could inhibit the proliferation and invasion of 786-O cells (Additional file 7: Figure S2C and D). Then we established to knock down URRCC with sh-URRCC in human A498 cells. As shown in Fig. 2a and b, knocked-down URRCC dramatically decreased the growth speed of A498 cells, when compared with control cells through MTT assay. In addition, transwell invasion assay also demonstrated that sh-URRCC attenuated invasive capability of A498 cells than that of control cells (Fig. 2c). The effect of sh-URRCC was also confirmed in 786-O cells (Additional file 7: Figure S2C and D).
Conversely, we examined the tumor-inducing phenotype in OSRC-2 cells with overexpression of URRCC (oe-URRCC) (Fig. 2d). As expected, upregulating URRCC expression obviously enhanced proliferation of OSRC-2 cells compared with the mock group via MTT assay (Fig. 2e). Consistently, overexpressed URRCC also induced invasion of OSRC-2 cells through transwell invasion assay (Fig. 2f).
Together, results from Fig. 2 substantiated that URRCC could promote cell proliferation and invasion in ccRCC cells.
URRCC enhances the development of progression in ccRCC in vivo
The entire above in vitro data demonstrated that URRCC might play a positive role to enhance ccRCC cell proliferation and invasion. We next explored the proliferative role of URRCC in vivo. The A498/sh-URRCC cells as well as their corresponding control group cells were inoculated into the right flank of nude mice. As Fig. 3a showed, URRCC knocked-down effectively inhibited tumor proliferation, as revealed by measuring tumor mass. On the contrary, stable transfection of overexpressing URRCC (oe-URRCC) into OSRC-2 cells resulted in dramatically induced tumor growth (Fig. 3b).
We next generated both cells labeled with firefly luciferase and then injected into tail vein of nude mice to monitor tumor metastasis. A dramatic reduction of metastatic luciferase expression in lungs of A498/sh-URRCC mice was detected by In Vivo Imaging Systems (IVIS) compared with sh-control group (Fig. 3c and d). HE analysis also showed a decrease of pulmonary metastasis in A498/sh-URRCC group compared with sh-control group (Fig. 3f). Contrarily, URRCC overexpression yielded an enhanced pulmonary metastasis of OSRC-2 cells in vivo (Fig. 3c, e and g). In addition, IHC demonstrated the decreased expression of Ki67 from sh-URRCC group compared with sh-control group, while the increased expression of Ki67 from oe-URRCC group compared with the mock group in pulmonary metastasis (Fig. 3h and i).
Together, results from Fig. 3 demonstrated that URRCC functioned as a critical tumor enhancer in vivo by promoting tumor proliferation and metastatic colonization.
URRCC enhances EGFL7 level by mediating histone H3 acetylation of EGFL7 promoter
Recently, lncRNA has been reported to regulate mRNA and was independent of functioning as competing endogenous RNAs (ceRNA), although the lncRNA was mainly located in cytoplasm . To investigate the potential gene related with URRCC-driven proliferative and metastatic phenotype in ccRCC, we used “Human Cancer Focus mRNA PCR Array” from KangCheng Bio-tech Inc. to compare dysregulated mRNAs that shown more than 2 fold change difference in expression between sh-control and sh-URRCC in the treated A498 cells (Additional file 8: Figure S3A, Additional file 9: Table S6). Volcano plots indicated six down-regulated mRNAs and four up-regulated mRNAs (Fig. 4a and Additional file 8: Figure S3B). We focused on genes that have the same changing trend with URRCC. Among them, JMY and EGFL7 were markedly decreased by knocking down URRCC at mRNA expression (Fig. 4a). We chose EGFL7 as our candidate for next experiments due to the tumor suppressor role of JMY (Additional file 8: Figure S3C and D, Additional file 10: Table S7 and Additional file 11: Table S8) in ccRCC. qRT-PCR and WB analysis revealed that sh-URRCC dramatically decreased the mRNA and protein levels of EGFL7 in A498 and OSRC-2 cells (Fig. 4b), whereas upregulated mRNA and protein levels of EGFL7 were identified in oe-URRCC group of both cells (Fig. 4c). Meanwhile, qRT-PCR assays showed there is a positive correlation between URRCC and EGFL7 in mRNA level in cell lines (Additional file 8: Figure S3E). In addition, The TCGA KIRC dataset analysis and IHC analysis substantiated that EGFL7 mRNA levels and protein levels were much higher in the ccRCC tissues than their noncancerous tissues (Fig. 4d and e, Additional file 12: Table S9). Moreover, subcutaneous xenograft tumors from sh-URRCC group demonstrated a decrease in EGFL7 expression by IHC compared with those from the sh-control group, while subcutaneous xenograft tumors from oe-URRCC group exhibited an increase in EGFL7 expression by IHC compared with those from the mock group (Fig. 4f and g).
To investigate the mechanism responsible for the upregulation of EGFL7 in ccRCC, we probed for EGFL7 could be regulated by inhibitors of histone deacetylases according to previous studies revealing that the histone acetylation was the important regulation approach for EGFL7 . qRT-PCR and WB assays indicated that EGFL7 was upregulated via the histone deacetylase inhibitor trichostatin A (TSA) in A498 and OSRC-2 cells (Fig. 4h). Meanwhile, ChIP assay confirmed that sh-URRCC caused a significant decreased level of histone H3 acetylation, but not histone H4 across EGFL7 promoter region (− 2000 to + 50 bp relative to Transcriptional start site (TSS)) in A498 cells (Fig. 4i). Additional ChIP assay indicated that sh-URRCC could not affect the H3 and H4 acetylation of GAPDH promoter in A498 cells (Fig. 4j). Conversely, oe-URRCC increased histone H3 acetylation level across EGFL7 promoter region in OSRC-2 cells (− 2000 to + 50 bp relative to TSS) (Fig. 4k). To further investigate the mechanism that why EGFL7 expression was regulated by histone H3 acetylation, we explored the potential histone acetylation sites from the promoter of EGFL7 via UCSC browser. Interestingly, aberrant enrichment of the H3K27ac histone mark were found across the promoter region of EGFL7 (Fig. 4l). Consistently, we found TSA could increase expression of H3K27ac in protein level in A498 and OSRC-2 cells, which may explain why H4 acetylation was not affected (Fig. 4m). Moreover, ChIP assay showed that TSA could reverse the down-regulation of EGFL7 caused by sh-URRCC both on acetylation and expression of EGFL7 (Additional file 8: Figure S3F-H).
Taken together, all results above illustrated that URRCC enhanced EGFL7 expression by mediating histone H3 acetylation across EGFL7 promoter region.
URRCC is associated with EGFL7/P-AKT/FOXO3 signaling pathway
Aberrant AKT signaling pathway played an important role in ccRCC and our group constantly concentrated on the studies of AKT signaling pathway [30, 32]. To investigate whether URRCC could regulate AKT signaling pathway in ccRCC, we performed WB assays and the result indicated that sh-URRCC could blunt P-AKT signaling pathway in both A498 and OSRC-2 cell lines (Fig. 5a). Concomitant with the decrease of P-AKT, we observed an increase of FOXO3 (Fig. 5a), which was reported in previous studies that downregulation of FOXO3 expression is due to increased AKT activity [33,34,35]. Contrarily, oe-URRCC could enhance EGFL7/P-AKT signaling pathway in both cell lines while decrease the FOXO3 expression (Fig. 5b). Furthermore, we identified that the phenotypes caused by oe-URRCC could be partly rescued by si-EGFL7 using CCK8 and invasion assays in A498 cells (Fig. 5c and d). Similarly, the increase of EGFL7 and the decrease of FOXO3 caused by oe-URRCC also could be rescued by si-EGFL7 through WB assays in A498 cells (Fig. 5e). IHC of subcutaneous xenograft tumors showed a decrease of P-AKT expression from the sh-URRCC group compared with the sh-control group, while an increase of P-AKT expression from the oe-URRCC group compared with the mock group (Additional file 8: Figure S3I).
Altogether, our data suggested that URRCC could enhance renal cancer cell proliferation and invasion through EGFL7/P-AKT/FOXO3 signaling.
FOXO3 inhibits URRCC transcriptional level via binding to its promoter region
To investigated the potential mechanism for URRCC upregulation in ccRCC cells, bioinformatics analysis of the promoter region (− 1572 to − 1 bp) of URRCC was performed by online software RegRNA 2.0 (http://regrna2.mbc.nctu.edu.tw/detection.html) . Notably, one FOXO3 binding element (− 176 to − 163 bp) was predicted (Additional file 13: Figure S4A). Moreover, ChIP assay confirmed the enrichment of FOXO3 on the predicted region (− 176 to − 163 bp) of URRCC promoter, but not on the NC site (unpredicted, − 300 to − 280) (Fig. 6a). Meanwhile, a decrease of luciferase activity on the wild type (Wt) URRCC promoter was observed in FOXO3-overexpressed A498 cells but no change on the mutant type (Mut) URRCC promoter (Fig. 6b and c). Here, IHC also confirmed that FOXO3 expression was lower in ccRCC tissues than in normal renal tissues (Fig. 6d), which was correspond with the Kaplan–Meier survival analysis from TCGA KIRC datasets that ccRCC patients with high FOXO3 expression had longer survival times than patients with low FOXO3 levels (Log-rank test, p < 0.001, Fig. 6e, Additional file 14: Table S10). In addition, qRT-PCR assays showed there is a negative correlation between URRCC and FOXO3 in mRNA level in cell lines (Additional file 13: Figure S4B) and knockdown of FOXO3 could enhance the mRNA expression of URRCC and EGFL7, while over-expression of FOXO3 could down-regulate the mRNA expression of URRCC and EGFL7 (Additional file 13: Figure S4C-F). Given that FOXO3 affects anti-apoptotic signal, we tried to explore the effect of URRCC on cell apoptosis in A498 cells. As figures shown, knocked-down URRCC dramatically induced the apoptosis of A498 cells, while overexpressed URRCC decreased apoptosis of A498 cells (Additional file 13: Figure S4G and S4H). Overall, these data suggested that FOXO3 silenced URRCC transcription by binding to its specific promoter in ccRCC.
In this study, we validated a new identified lncRNA-URRCC serving as a tumor-inducer in renal cancer progression through a combined bioinformatics and experimental approach. Transcriptional level of URRCC in ccRCC tissues was substantially induced compared to that in surrounding non-tumor tissues. In addition, URRCC higher levels were associated with tumor stage and invasion and inversely correlated with poor prognosis in RCC patients. URRCC enhanced RCC cell proliferation and invasion by increasing the expression of EGFL7 through regulating histone H3 acetylation of EGFL7 promoter. In addition, URRCC expression could be inhibited by transcription factor FOXO3, which led to form a regulatory circuit involving URRCC, EGFL7, P-AKT, FOXO3 (Fig. 7). All these data effectively supported that URRCC, acting as a potential prognostic biomarker in ccRCC, promoted ccRCC tumorigenesis, in keeping with the notion that lncRNAs played a pivotal role in the field of tumor initiation and development.
Intriguingly, BX649059, named as URRCC in our study, was previously discovered to be downregulated in colorectal cancer and required for obvious proliferation and invasion inhibition in colorectal cancer cells , contradiction our conclusion that the transcriptional level of URRCC was higher in ccRCC samples than in normal renal tissues and functioned as an onco-lncRNA to elevate cell growth and metastasis. The opposite result above suggested that URRCC might be a tissue-specific non-coding RNA in human various tissues and its expression associated with cancer development. Its clinical significance in other human cancers was yet to be elucidated. On the other hand, the expression of lncRNA was involved in clinical significance of tumor outcomes, as diagnostic or prognostic biomarkers [15, 38,39,40]. However, the clinical biomarker of lncRNA in the development of RCC remained to be elucidated. In the present study, we observed a negative relationship between URRCC expression and patient overall survival outcome. Statistical analysis further attested that URRCC might be an effective biomarker for helping to identify the prognosis of patients with ccRCC.
Accumulating evidence shows that lncRNAs could function as ceRNAs to sequester miRNAs, leading to the up-regulation of corresponding miRNA-targeted genes, such as lncRNA-ATB , or serve as molecular scaffolds to facilitate multiple proteins interaction, such as lncRNA-GClnc1 . Interestingly, lncRNA that mainly located in cytoplasm also can regulate mRNA through non-ceRNA mode and lncRNA has rarely been reported to active genes by epigenetic modification [14, 25]. According to this, we sought to explore the mechanisms between lncRNA and mRNA and found that lncRNA-URRCC could enhance the expression of EGFL7 through mediating histone H3 acetylation of EGFL7 promoter. This is different from the two common mechanisms of lncRNAs above and the deeper molecular mechanism might include the interaction between URRCC and enzymes of epigenetic modification, which is worth going deep into research in the future.
The differential expression of EGFL7 in several cancers was associated with epigenetic modification, involving malignant pleural mesothelioma, gastric cancer, and esophageal squamous cell carcinoma [24, 25, 42]. Here, we identified that knocked down URRCC potently abrogated EGFL7 expression and blunted cell growth and invasion while overexpressed URRCC markedly elevated EGFL7 expression and enhanced cell growth and invasion. Mechanistically, URRCC could crosstalk with EGFL7 via mediating histone H3 acetylation of EGFL7 promoter, which is consistent with the previously report [25, 43, 44]. In addition, EGFL7 was reported to active multiply signaling pathways in human tumors [43, 45,46,47,48]. In in vitro system, in vivo system and clinical specimen, we substantiated the upregulated URRCC was potent to promote EGFL7 expression, enhancing AKT pathway, and then contribute to tumorigenesis.
Transcription factor FOXO3 is a member of the forkhead family and its activity is regulated by AKT signaling pathway [34, 35]. In our study, URRCC promoted the phosphorylation of AKT and lead to the inhibition of FOXO3. FOXO3 deregulation plays essential roles in the development of cancer and thus FOXO3 has been classified as a tumor suppressor . Previous studies have demonstrated that FOXO3 could repress lncRNA and be promoted by circular RNA or Foxo3 pseudogene [33, 50]. Interestingly, our ChIP and luciferase assays showed that FOXO3 could depress URRCC expression through directly binding to URRCC promoter. Moreover, recent clinical studies have shown that FOXO3 is a good prognostic marker in some cancers [51,52,53]. Additionally, Kaplan–Meier survival analysis of FOXO3 in our work also could support this notion. Taken together, these results suggested that FOXO3 is an important biological factor and could be a potential target for cancer therapy.
In summary, our research reveals that URRCC functions as a tumor-inducer to control the ccRCC progression via modulating URRCC/EGFL7/P-AKT/FOXO3 positive feedback loop and cause cascading effects in ccRCC. The identification and validation of this study is a critical component of research and clinical management of ccRCC. Targeting this newly identified lncRNA-URRCC might help us to broaden the known strategy for ccRCC treatment.
Clear cell renal cell carcinoma
Competing endogenous RNA
Fluorescent in situ hybridization
Gene Expression Omnibus
In vivo imaging systems
Kidney renal clear cell carcinoma
Long noncoding RNA
Quantitative real-time PCR
Renal cell carcinoma
Short hairpin RNA
Short interfering RNA
The Cancer Genome Atlas
Transcriptional start site
Up-regulation in clear cell renal cell carcinoma
Mulders PF, Brouwers AH, Hulsbergen-van DKC, van Lin EN, Osanto S, de Mulder PH. Guideline ‘Renal cell carcinoma’. Ned Tijdschr Geneeskd. 2008;152:376–80.
Ramana J. RCDB: renal Cancer gene database. BMC Res Notes. 2012;5:246.
Najjar YG, Rini BI. Novel agents in renal carcinoma: a reality check. Ther Adv Med Oncol. 2012;4:183–94.
Cho IC, Chung J. Current status of targeted therapy for advanced renal cell carcinoma. Korean J Urol. 2012;53:217–28.
Staehler M, Rohrmann K, Haseke N, Stief CG, Siebels M. Targeted agents for the treatment of advanced renal cell carcinoma. Curr Drug Targets. 2005;6:835–46.
Perkel JM. Visiting “noncodarnia”. Biotechniques. 2013;54(301):303–4.
Cabianca DS, Casa V, Bodega B, et al. A long ncRNA links copy number variation to a polycomb/trithorax epigenetic switch in FSHD muscular dystrophy. CELL. 2012;149:819–31.
Prensner JR, Chinnaiyan AM. The emergence of lncRNAs in cancer biology. Cancer Discov. 2011;1:391–407.
Wang KC, Yang YW, Liu B, et al. A long noncoding RNA maintains active chromatin to coordinate homeotic gene expression. Nature. 2011;472:120–4.
Zhao L, Ji G, Le X, et al. Long noncoding RNA LINC00092 acts in cancer-associated fibroblasts to drive glycolysis and progression of ovarian cancer. Cancer Res. 2017;77:1369–82.
Zhou M, Zhao H, Xu W, Bao S, Cheng L, Sun J. Discovery and validation of immune-associated long non-coding RNA biomarkers associated with clinically molecular subtype and prognosis in diffuse large B cell lymphoma. Mol Cancer. 2017;16:16.
Wang KC, Chang HY. Molecular mechanisms of long noncoding RNAs. Mol Cell. 2011;43:904–14.
Wang P, Xue Y, Han Y, et al. The STAT3-binding long noncoding RNA lnc-DC controls human dendritic cell differentiation. Science. 2014;344:310–3.
Yuan JH, Yang F, Wang F, et al. A long noncoding RNA activated by TGF-beta promotes the invasion-metastasis cascade in hepatocellular carcinoma. Cancer Cell. 2014;25:666–81.
Gupta RA, Shah N, Wang KC, et al. Long non-coding RNA HOTAIR reprograms chromatin state to promote cancer metastasis. Nature. 2010;464:1071–6.
Mehra R, Shi Y, Udager AM, et al. A novel RNA in situ hybridization assay for the long noncoding RNA SChLAP1 predicts poor clinical outcome after radical prostatectomy in clinically localized prostate cancer. Neoplasia. 2014;16:1121–7.
Yu G, Yao W, Wang J, et al. LncRNAs expression signatures of renal clear cell carcinoma revealed by microarray. PLoS One. 2012;7:e42377.
Zhai W, Sun Y, Jiang M, et al. Differential regulation of LncRNA-SARCC suppresses VHL-mutant RCC cell proliferation yet promotes VHL-normal RCC cell proliferation via modulating androgen receptor/HIF-2alpha/C-MYC axis under hypoxia. Oncogene. 2016;35:4866–80.
Wu F, Yang LY, Li YF, Ou DP, Chen DP, Fan C. Novel role for epidermal growth factor-like domain 7 in metastasis of human hepatocellular carcinoma. Hepatology. 2009;50:1839–50.
Li JJ, Yang XM, Wang SH, Tang QL. Prognostic role of epidermal growth factor-like domain 7 protein expression in laryngeal squamous cell carcinoma. J Laryngol Otol. 2011;125:1152–7.
Oh J, Park SH, Lee TS, Oh HK, Choi JH, Choi YS. High expression of epidermal growth factor-like domain 7 is correlated with poor differentiation and poor prognosis in patients with epithelial ovarian cancer. J Gynecol Oncol. 2014;25:334–41.
Li Q, Wang AY, Xu QG, Liu DY, Xu PX, Yu D. In-vitro inhibitory effect of EGFL7-RNAi on endothelial angiogenesis in glioma. Int J Clin Exp Pathol. 2015;8:12234–42.
Yang RH, Qi SH, Ruan SB, et al. EGFL7-overexpressing epidermal stem cells promotes fibroblast proliferation and migration via mediating cell adhesion and strengthening cytoskeleton. Mol Cell Biochem. 2016;423:1–8.
Liu R, Gu J, Jiang P, et al. DNMT1-microRNA126 epigenetic circuit contributes to esophageal squamous cell carcinoma growth via ADAM9-EGFR-AKT signaling. Clin Cancer Res. 2015;21:854–63.
Deng QJ, Xie LQ, Li H. Overexpressed MALAT1 promotes invasion and metastasis of gastric cancer cells via increasing EGFL7 expression. Life Sci. 2016;157:38–44.
Zhang X, Sun S, Pu JK, et al. Long non-coding RNA expression profiles predict clinical phenotypes in glioma. Neurobiol Dis. 2012;48:1–8.
Yang J, Lin J, Liu T, et al. Analysis of lncRNA expression profiles in non-small cell lung cancers (NSCLC) and their clinical subtypes. Lung Cancer. 2014;85:110–5.
Eckel-Passow JE, Serie DJ, Bot BM, Joseph RW, Cheville JC, Parker AS. ANKS1B is a smoking-related molecular alteration in clear cell renal cell carcinoma. BMC Urol. 2014;14:14.
von Roemeling CA, Radisky DC, Marlow LA, et al. Neuronal pentraxin 2 supports clear cell renal cell carcinoma by activating the AMPA-selective glutamate receptor-4. Cancer Res. 2014;74:4796–810.
Zhai W, Sun Y, Guo C, et al. LncRNA-SARCC suppresses renal cell carcinoma (RCC) progression via altering the androgen receptor (AR)/miRNA-143-3p signals. Cell Death Differ. 2017;24:1502–17.
Chen S, Wang Q, Wang L, et al. REGgamma deficiency suppresses tumor progression via stabilizing CK1epsilon in renal cell carcinoma. Cell Death Dis. 2018;9:627.
Chen C, Xue S, Zhang J, et al. DNA-methylation-mediated repression of miR-766-3p promotes cell proliferation via targeting SF2 expression in renal cell carcinoma. Int J Cancer. 2017;141:1867–78.
Qu L, Ding J, Chen C, et al. Exosome-transmitted lncARSR promotes Sunitinib resistance in renal cancer by acting as a competing endogenous RNA. Cancer Cell. 2016;29:653–68.
Sykes SM, Lane SW, Bullinger L, et al. AKT/FOXO signaling enforces reversible differentiation blockade in myeloid leukemias. Cell. 2011;146:697–708.
Lee J, Park SH. Tumor-suppressive activity of 1,25-dihydroxyvitamin D3 against kidney cancer cells via up-regulation of FOXO3. Biosci Biotechnol Biochem. 2016;80:1947–53.
Chang TH, Huang HY, Hsu JB, Weng SL, Horng JT, Huang HD. An enhanced computational platform for investigating the roles of regulatory RNA and for identifying functional RNA motifs. BMC Bioinformatics. 2013;14(Suppl 2):S4.
Hu Y, Chen HY, Yu CY, et al. A long non-coding RNA signature to improve prognosis prediction of colorectal cancer. Oncotarget. 2014;5:2230–42.
Li H, Liu C, Lu Z, et al. Upregulation of the long non-coding RNA SPRY4-IT1 indicates a poor prognosis and promotes tumorigenesis in ovarian cancer. Biomed Pharmacother. 2017;88:529–34.
Gong J, Zhang H, He L, Wang L, Wang J. Increased expression of long non-coding RNA BCAR4 is predictive of poor prognosis in patients with non-small cell lung cancer. Tohoku J Exp Med. 2017;241:29–34.
Gao K, Ji Z, She K, Yang Q, Shao L. Long non-coding RNA ZFAS1 is an unfavourable prognostic factor and promotes glioma cell progression by activation of the Notch signaling pathway. Biomed Pharmacother. 2017;87:555–60.
Sun TT, He J, Liang Q, et al. LncRNA GClnc1 promotes gastric carcinogenesis and may act as a modular scaffold of WDR5 and KAT2A complexes to specify the histone modification pattern. Cancer Discov. 2016;6:784–801.
Andersen M, Trapani D, Ravn J, et al. Methylation-associated silencing of microRNA-126 and its host gene EGFL7 in malignant pleural mesothelioma. Anticancer Res. 2015;35:6223–9.
Xu HF, Chen L, Liu XD, et al. Targeting EGFL7 expression through RNA interference suppresses renal cell carcinoma growth by inhibiting angiogenesis. Asian Pac J Cancer Prev. 2014;15:3045–50.
Saito Y, Friedman JM, Chihara Y, Egger G, Chuang JC, Liang G. Epigenetic therapy upregulates the tumor suppressor microRNA-126 and its host gene EGFL7 in human cancer cells. Biochem Biophys Res Commun. 2009;379:726–31.
Yu H, Zheng J, Liu X, et al. Transcription factor NFAT5 promotes glioblastoma cell-driven angiogenesis via SBF2-AS1/miR-338-3p-mediated EGFL7 expression change. Front Mol Neurosci. 2017;10:301.
Zhang Y, Wang X, Xu B, et al. Epigenetic silencing of miR-126 contributes to tumor invasion and angiogenesis in colorectal cancer. Oncol Rep. 2013;30:1976–84.
Schmidt MH, Bicker F, Nikolic I, et al. Epidermal growth factor-like domain 7 (EGFL7) modulates Notch signalling and affects neural stem cell renewal. Nat Cell Biol. 2009;11:873–80.
Massimiani M, Vecchione L, Piccirilli D, et al. Epidermal growth factor-like domain 7 promotes migration and invasion of human trophoblast cells through activation of MAPK, PI3K and NOTCH signaling pathways. Mol Hum Reprod. 2015;21:435–51.
Myatt SS, Lam EW. The emerging roles of forkhead box (fox) proteins in cancer. Nat Rev Cancer. 2007;7:847–59.
Yang W, Du WW, Li X, Yee AJ, Yang BB. Foxo3 activity promoted by non-coding effects of circular RNA and Foxo3 pseudogene in the inhibition of tumor growth and angiogenesis. Oncogene. 2016;35:3919–31.
Fei M, Zhao Y, Wang Y, et al. Low expression of Foxo3a is associated with poor prognosis in ovarian cancer patients. Cancer Investig. 2009;27:52–9.
Lu M, Zhao Y, Xu F, Wang Y, Xiang J, Chen D. The expression and prognosis of FOXO3a and Skp2 in human ovarian cancer. Med Oncol. 2012;29:3409–15.
Habashy HO, Rakha EA, Aleskandarany M, et al. FOXO3a nuclear localisation is associated with good prognosis in luminal-like breast cancer. Breast Cancer Res Treat. 2011;129:11–21.
This work was sponsored by the National Natural Science Foundation of China (31570775, 81602216 and 81772705), Natural Science Foundation of Shanghai (16ZR1426500), and Shanghai Pujiang Program (16PJD037). Three Year Plan of Action Program from Shen Kang (16CR3062B), Cultivation Program of Renji Hospital (PYZY16–006).
Availability of data and materials
Data and materials are available from website of Molecular Cancer.
Ethics approval and consent to participate
This study was approved by the Shanghai Tenth People’s hospital ethics committee and written informed consent was obtained from all patients. All animal studies were approved by the Institutional Animal Care and Use Committee of the Shanghai Tenth People’s Hospital.
Consent for publication
The authors declare that they have no competing interests.
Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.
Table S1. Primers used for real-time PCR, vector construction, and ChIP. (XLSX 11 kb)
Table S2. Sequences of oligonucleotides used in this study. (XLSX 10 kb)
Figure S1. A: Flow chart of selecting dysregulated lncRNAs from two public RCC Dataset (GSE46699 and GSE53757). B and C: Heatmaps of dysregulated lncRNAs from GSE53757 (B) and GSE46699 (C). D: Comparison of AK026225 and AK055783 expression in 20 paired renal cancer tissues and adjacent non-cancer tissues via qRT-PCR. E: The chromosome location of URRCC via using ensemble software. F: The nucleotide sequence of full-length human URRCC. G: The location of URRCC predicted by lncLocator (http://www.csbio.sjtu.edu.cn/bioinf/lncLocator/). (ZIP 987 kb)
Table S3. BX649059 expression in ccRCC and normal renal samples from TCGA KIRC dataset. (XLS 27 kb)
Table S4. Clinical characteristics of 116 ccRCC patients according to URRCC expression levels. (XLSX 14 kb)
Table S5. Univariate and Multivariate Cox Regression Analyses of URRCC. (XLSX 11 kb)
Figure S2. A and B: qRT-PCR assays for the URRCC mRNA level in 786-O and OSRC-2 cells after transfection of sh-control, sh-URRCC-1, and sh-URRCC-2. C: MTT assays after transfection of sh-URRCC compared with sh-control in 786-O cells. D: Representative images and the numbers of invasive cells per high-power field reduced by the transfection of sh-URRCC in 786-O compared to sh-control groups. (PDF 96 kb)
Figure S3. A: Heatmaps of dysregulated mRNAs expression between sh-control and sh-URRCC groups in the treated A498 cells. B: Volcano plots of the differentially expressed mRNAs. Green and red spots represent p value less than 0.05. Red spots represent fold change more than 2.0. Green spots represent fold change less than 0.5. C: JMY mRNA level in ccRCC tissues compared with normal renal tissues from TCGA KIRC dataset. D: Kaplan–Meier analyses of the correlations between URRCC expression and overall survival of 530 ccRCC patients from TCGA KIRC dataset. Log-rank test was used to calculate p values. E: Correlation between URRCC and EGFL7 in mRNA level in cell lines. F: mRNA level of EGFL7 in different treatment groups. G and H: ChIP analyses of A498 and OSRC-2 cells treated with sh-control, sh-URRCC or sh-URRCC+TSA(100 nM) were conducted on the EGFL7 promoter regions using anti-acetyl-histone H3 and anti-acetyl-histone H4. Enrichment was determined relative to input controls. I: Representative Ki67 IHC staining of xenograft tumors from sh-control, sh-URRCC, mock, and oe-URRCC groups (200×, 400×). (ZIP 220 kb)
Table S6. Small mRNA array data. (XLSX 147 kb)
Table S7. JMY expression in ccRCC and normal renal samples from TCGA KIRC dataset. (XLS 27 kb)
Table S8. JMY expression and paitients’ survival time from TCGA KIRC dataset. (XLS 19 kb)
Table S9. EGFL7 expression in ccRCC and normal renal samples from TCGA KIRC dataset. (XLS 26 kb)
Figure S4. A: Bioinformatics analysis of potential FOXO3 binding site on URRCC promoter by online software RegRNA 2.0. B: Correlation between URRCC and FOXO3 in mRNA level in cell lines. C and D: The mRNA level of URRCC and EGFL7 were detected by qRT-PCR in A498 and OSRC-2 cells after transfection with si-NC or si-FOXO3. E and F: The mRNA level of URRCC and EGFL7 were detected by qRT-PCR in A498 and OSRC-2 cells after transfection with NC or oe-FOXO3. G and H: Cell apoptosis assays by flow cytometry in A498 cell lines. (ZIP 209 kb)
Table S10. FOXO3 expression and paitients' survival time from TCGA KIRC dataset. (XLS 19 kb)
About this article
Cite this article
Zhai, W., Zhu, R., Ma, J. et al. A positive feed-forward loop between LncRNA-URRCC and EGFL7/P-AKT/FOXO3 signaling promotes proliferation and metastasis of clear cell renal cell carcinoma. Mol Cancer 18, 81 (2019). https://doi.org/10.1186/s12943-019-0998-y
- Clear cell renal cell carcinoma
- Long noncoding RNA