Literature DB >> 30832752

Silencing of lncRNA AFAP1-AS1 Inhibits Cell Growth and Metastasis in Clear Cell Renal Cell Carcinoma.

Zhongyi Mu1, Dan Dong1, Ning Wei2, Mingli Sun3, Wei Wang1, Yue Shao1, Jian Gao1, Ping Yin1, Chenghai Zhao1.   

Abstract

The lncRNA AFAP1-AS1, oriented from an antisense direction to the protein-coding gene AFAP1 in the opposite strand, was upregulated in a variety of tumors and associated with poor prognosis, including lung cancer, breast cancer, ovarian cancer, and so on. However, the biological role of AFAP1-AS1 in clear cell renal cell carcinoma (ccRCC) is still unknown. We observed that AFAP1-AS1 expression was significantly upregulated in ccRCC tissues and that patients with high-level expression of AFAP1-AS1 had a shorter overall survival. Knockdown of AFAP1-AS1 markedly suppressed the progression of proliferation, invasion, migration, and EMT in ccRCC cells. Downregulation of AFAP1-AS1 resulted in an increase in E-cadherin and a decrease in vimentin. Noticeably, we found that PTEN has a negative correlation with the lncRNA AFAP1-AS1 expression. Further studies verified that PTEN deficiency effectively attenuated the ability of AFAP1-AS1 in promoting ccRCC cell proliferation, invasion, migration, and EMT. Moreover, the similar biological response of silencing AFAP1-AS1 was observed in our ccRCC mice model. Knockdown of AFAP1-AS1 evidently suppressed tumor growth. Taken together, our results provide the evidences that silencing of AFAP1-AS1 inhibits cell proliferation, EMT, and metastasis through PTEN-dependent signaling, and our findings elucidate a novel potential therapeutic target or biomarker for the treatment of ccRCC.

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Year:  2019        PMID: 30832752      PMCID: PMC7848283          DOI: 10.3727/096504018X15420748671075

Source DB:  PubMed          Journal:  Oncol Res        ISSN: 0965-0407            Impact factor:   5.574


INTRODUCTION

Renal cell carcinoma (RCC) ranks among the top 10 lists of the most frequent neoplasms in Western countries, with over 63,000 estimated new cases in the US in 20171. Clear cell renal cell carcinoma (ccRCC) is the most common histological subtype, accounting for more than 70% of RCC2. Due to resistance to traditional chemo- and radiotherapy, after the initial radical surgery, advanced ccRCC has a poor survival rate and may result in metastasis or recurrence3–5. Moreover, the lack of specific prognostic biomarker prevents the development of specific therapy6. Thus, it is urgent to discover a novel biomarker/therapeutic target for the prediction and treatment of ccRCC. The long noncoding RNA (lncRNA) AFAP1-AS1 (actin filament-associated protein 1 antisense RNA) is oriented from an antisense direction to the protein-coding gene AFAP1 in the opposite strand. AFAP1-AS1, as an oncogene, was upregulated in a variety of tumors, including hepatocellular carcinoma, esophageal carcinoma, pancreatic ductal adenocarcinoma, colorectal cancer, cholangiocarcinoma, gallbladder cancer, and so on7–12. AFAP1-AS1 is upregulated in hepatocellular carcinoma, and its higher expression is associated with tumor size, TNM stage, vascular invasion, and poor prognosis. Silencing AFAP1-AS1 significantly reduces cell proliferation, clonal growth, cell migration, and invasion in hepatocellular carcinoma and gastric cancer8,10. However, the expression and precise biological role of AFAP1-AS1 in ccRCC is still unknown. Thus, we evaluate the expression of AFAP1-AS1 in ccRCC tissues and investigate the potential biological function of AFAP1-AS1 on cell growth and metastasis in our in vitro and in vivo ccRCC model.

MATERIALS AND METHODS

Human Tissue Samples

Patients with ccRCC who were diagnosed, treated, and followed up at the Liaoning Cancer Hospital and Institute were included in the study. This study was approved by the Board of China Medical University, and written informed consent was obtained from all patients. All protocols were reviewed by the Joint Ethics Committee of China Medical University Health Authority and performed following national guidelines. Tissue samples were collected at the time of surgery, immediately frozen in liquid nitrogen, and stored until total RNA or proteins were extracted.

Cell Lines and Cell Culture

Human kidney epithelial cell HK2 and ccRCC cell lines, including 786-O, Caki-1, ACHN, and A498 cells, were maintained in RPMI-1640 medium (Gibco, Waltham, MA, USA), supplemented with 10% fetal bovine serum and antibiotics (100 U/ml penicillin and 100 mg/ml streptomycin). Cells were incubated at 37°C in a humidified atmosphere of 5% CO2.

Vector Construction and Cell Transfection

As previously described13, cell transfection was performed using Lipofectamine 2000 (Invitrogen-Life Technologies, Carlsbad, CA, USA). For screening, puromycin (10 μg/ml) was added to the medium 72 h after transfection. The medium was changed every 2 days for 2–3 weeks. Caki-1 and ACHN cells with high-level endogenous AFAP1-AS1 were selected for silencing. The expression of AFAP1-AS1 was measured by quantitative real-time (qRT)-PCR. The sequence of AFAP1-AS1 shRNA and scrambled control shRNA were as follows: shAF, 5′-CCG GAG CGG T CT CAG CCG AAT GAC TCT CGA GAG TCA TTC GGC TGA GAC CGC TTT TTTG-3′ (forward) and 5′-AAT TCA AAA AAG CGG TCT CAG CCG AAT GAC TCT CGA GAG TCA TTC GGC TGA GAC CGC T-3’ (reverse); control shRNA (shNC), 5′-CCG GTT TCT CCG AAC GTG TCA CGT CTC GAG ACG TGA CAC GTT CGG AGA ATT TTTG-3′ (forward) and 5′-AAT TCA AAG TTC TCG AAC GTG TCA CGT CTC GAG ACG TGA CAC GTT CGG AGAA-3′ (reverse).

Cell Proliferation Assay

Cell viability was determined using CCK-8 assay. Briefly, 1,000 cells/well were seeded into 96-well plates. According to the manufacturer’s instruction, the absorptions of the cells will be measured using a CCK-8 kit (Beyotime Institute of Biotechnology, Jiangsu, P.R. China) at 0, 24, 48, and 72 h. Data were from at least three separate experiments.

Cell Migration and Invasion Assay

Twenty-four-well insert Transwell chambers (8.0 μm; Corning, Corning, NY, USA) were used for cell migration and invasion assays. For migration assay, 2 × 104 cells were added on top of the Transwell membrane in the upper chamber. For the invasion assay, 5 × 104 cells were added on top of the Transwell membrane in the upper chamber coated with Matrigel (BD Biosciences, San Jose, CA, USA). Complete medium was added to the bottom wells as a stimulation of migration or invasion. The cells were then incubated for 48 h at 37°C, and the cells on the upper surface were washed away, while the cells on the bottom surface were fixed with 20% methanol and stained with 0.1% crystal violet. The number of invaded cells was counted in five randomly selected fields using a microscope.

Quantitative Real-Time-PCR Analysis

As previously described14, the sequences of primers were as follows: AFAP-AS1: 5′-TCG CTC AAT GGA GTG ACG GCA-3′, 5′-CGG CTG AGA CCG CTGA GAA CTT-3′; PTEN: 5′-TTT GAA GAC CAT AAC CCA CCAC-3′, 5′-ATT ACA CCA GTT CGT CCC TTTC-3′; and GAPDH: 5′-CAC CCA CTC CTC CAC CTT TG-3′, 5′-CCA CCA CCC TGT TGC TGT AG-3′ (normalized as control). Results were expressed as the threshold cycle (Ct). The 2−ΔΔCt method was used to analyze the relative changes in gene expression. Control experiments without reverse transcription were performed to confirm that the total RNA was not contaminated with genomic DNA.

Western Blot Analysis

Western blot analysis for specific protein expression was performed as previously described15. Antibodies against PTEN (#9188), AKT (#9272), p-AKT (#9271), proliferating cell nuclear antigen (PCNA) (#8580), E-cadherin (#3195), vimentin (#5741), and β-actin (#8457) were purchased from Cell Signaling Technology (Beverly, MA, USA). After incubation, the membranes were washed three times in TBST, followed by incubation with HRP-conjugated secondary antibodies for 1 h at room temperature, and washed extensively before detection. The membranes were subsequently developed using ECL (FujiFilm, Tokyo, Japan) reagent (Applygen Technologies Inc., Beijing, P.R. China) and exposed to film according to the manufacturer’s protocol. Quantitation of signal intensities was performed by densitometry on a scanner using ImageJ software.

Xenograft Mice Model

All the animal procedures were performed in accordance with local institutional ethical guidelines. Ethical approval was obtained from the Experimental Animal Ethics Committee of the China Medical University Health Authority. Caki-1 cells (1 × 107) with stably transfected shAF or shNC were suspended in 0.1 ml of PBS and injected into the left flank of 4-week-old female BALB/c athymic nude mice, six mice for each group. Tumor size (length and width in mm) was measured by calipers every week after the injection, and tumor volumes were calculated using the following formula: tumor volume (mm3) = 1/2(length × width2)16,17. At 21 days, mice were sacrificed, and tumor volume and weight were recorded.

Statistical Analysis

All experimental data are presented as mean ± SD. Survival rate was analyzed using the Kaplan–Meier method. Pearson test was used for correlation analysis. Statistical analysis of the data was performed using one-way ANOVA by SPSS 13.0 software. A value of p < 0.05 was considered statistically significant.

RESULTS

AFAP1-AS1 Is Upregulated in ccRCC

We first evaluated the relative expression of AFAP1-AS1 in ccRCC tissues (n = 60) compared with that of the corresponding adjacent normal tissues (n = 20) using qRT-PCR. As seen in Figure 1A, AFAP1-AS1 expression was significantly increased in ccRCC samples compared with that in the adjacent normal tissues (p < 0.001). According to AFAP1-AS1 expression (median value), ccRCC samples were classified into high and low level of AFAP1-AS1 (Fig. 1B and Table 1), and Kaplan–Meier plotter was performed. The Kaplan–Meier curve is shown in Figure 1C. The expression level of AFAP1-AS1 is positively correlated with ccRCC progression (p = 0.006); patients with a high-level expression of AFAP1-AS1 had a shorter overall survival. Noticeably, the expression level of AFAP1-AS1 is positively correlated with the TNM stage and lymph node metastasis (p < 0.05).
Figure 1

Actin filament-associated protein 1 antisense RNA (AFAP1-AS1) is upregulated in patients with clear cell renal cell carcinoma (ccRCC). (A) Comparison of AFAP1-AS1 relative expression level in ccRCC tissues (n = 60) with that of adjacent normal tissues (n = 20). AFAP1-AS1 expression was determined using quantitative real-time (qRT)-PCR and normalized to GAPDH (p < 0.001). (B) According to median expression level AFAP1-AS1, high and low level of AFAP1-AS1 was analyzed by Pearson test. (C) Kaplan–Meier curve was performed using overall survival and AFAP1-AS1 expression in ccRCC patient. The survival time of patients with low AFAP1-AS1 expression was longer than that in patients with high AFAP1-AS1 expression.

Table 1

Association of lncRNA AFAP1-AS1 Expression With Clinicopathologic Features in Clear Cell Renal Cell Carcinoma (ccRCC) Patients

ParameterCaseAFAP1-AS1 Expression p Value
LowHigh
Gender0.599
 Female311615
 Male291316
Age (years)0.951
 ≤55371819
 >55231310
Tumor size (cm)0.297
 ≤7311714
 >729821
TNM stage0.008
 I–II352213
 III–IV25718
Lymph node metastasis0.009
 No332112
 Yes27819
Smoker0.586
 No331716
 Yes271215
Actin filament-associated protein 1 antisense RNA (AFAP1-AS1) is upregulated in patients with clear cell renal cell carcinoma (ccRCC). (A) Comparison of AFAP1-AS1 relative expression level in ccRCC tissues (n = 60) with that of adjacent normal tissues (n = 20). AFAP1-AS1 expression was determined using quantitative real-time (qRT)-PCR and normalized to GAPDH (p < 0.001). (B) According to median expression level AFAP1-AS1, high and low level of AFAP1-AS1 was analyzed by Pearson test. (C) Kaplan–Meier curve was performed using overall survival and AFAP1-AS1 expression in ccRCC patient. The survival time of patients with low AFAP1-AS1 expression was longer than that in patients with high AFAP1-AS1 expression. Association of lncRNA AFAP1-AS1 Expression With Clinicopathologic Features in Clear Cell Renal Cell Carcinoma (ccRCC) Patients

Effect of AFAP1-AS1 on Growth of ccRCC Cells

First, the expression level of AFAP1-AS1 in ccRCC cell panel, including 786-O, Caki-1, ACHN, and A498 cells was detected using qRT-PCR. Meanwhile, HK2 cells (normal human kidney epithelial cells) were used as control. As shown in Figure 2A, AFAP1-AS1 was detectable in all cell lines. Noticeably, the expression level of AFAP1-AS1 in ccRCC cells was significantly higher than that in HK2 cells. Caki-1 and ACHN exhibited high-level expression of AFAP1-AS1.
Figure 2

Effect of AFAP1-AS1 on growth of ccRCC cells. (A) The expression level of AFAP1-AS1 in ccRCC cells was much higher than that in normal kidney epithelial HK-2 cells. (B, C) Knockdown of AFAP1-AS1 expression using specific shRNA. ShAF dramatically suppressed AFAP1-AS1 expression in Caki-1 and ACHN cells, which was determined by qRT-PCR compared with the control shRNA (shNC). (D, G) Caki-1 and ACHN cells transfected with shAF and shNC for 24, 48, and 72 h, cell growth was determined using CCK-8 assay. Effect of knockdown of AFAP1-AS1 on proliferating cell nuclear antigen (PCNA) expression was measured by Western blot analysis. Representative blots in Caki-1 (E, F) and ACHN (H, I) cells are shown. The data are shown as mean ± SD of three separate times. Significant difference between the shNC and shAF group was compared, *p < 0.05; **p < 0.01; ***p < 0.001.

Effect of AFAP1-AS1 on growth of ccRCC cells. (A) The expression level of AFAP1-AS1 in ccRCC cells was much higher than that in normal kidney epithelial HK-2 cells. (B, C) Knockdown of AFAP1-AS1 expression using specific shRNA. ShAF dramatically suppressed AFAP1-AS1 expression in Caki-1 and ACHN cells, which was determined by qRT-PCR compared with the control shRNA (shNC). (D, G) Caki-1 and ACHN cells transfected with shAF and shNC for 24, 48, and 72 h, cell growth was determined using CCK-8 assay. Effect of knockdown of AFAP1-AS1 on proliferating cell nuclear antigen (PCNA) expression was measured by Western blot analysis. Representative blots in Caki-1 (E, F) and ACHN (H, I) cells are shown. The data are shown as mean ± SD of three separate times. Significant difference between the shNC and shAF group was compared, *p < 0.05; **p < 0.01; ***p < 0.001. Next, specific shRNA targeting AFAP1-AS1 was designed. As seen in Figure 2B and C, the expression level of AFAP1-AS1 in Caki-1 and ACHN cells was markedly decreased (∼50%) compared to the control group (shNC). Furthermore, the cell viability was measured by CCK-8 assay. After transfection with shAF for 24, 48, and 72 h, knockdown of AFAP1-AS1 significantly suppressed the growth of Caki-1 and ACHN cells (p < 0.05) (Fig. 2D and G). PCNA is a cell proliferation biomarker used in ccRCC. The effect of shAF on the expression of PCNA was also measured. As shown in Figure 2E and H, the expression level of PCNA was markedly decreased in the shAF group.

Effect of AFAP1-AS1 on Invasion, Migration, and EMT of ccRCC Cells

To evaluate the ability of AFAP1-AS1 on invasion and migration of ccRCC cells, Transwell assay was performed. The positive staining cell number in the shAF group was much less than that of the control group (Fig. 3A–C). Meanwhile, we investigated the effect of AFAP1-AS1 on cell migration by Transwell assay without Matrigel coating in the upper compartment. Compared with the cells transfected with shNC, we observed that knockdown of AFAP1-AS1 could attenuate the migratory ability of both Caki-1 and ACHN cells (Fig. 3A, D, and E). Thus, silencing of AFAP1-AS1 significantly suppressed the ability of invasion and migration of ccRCC cells.
Figure 3

Effect of AFAP1-AS1 on cell migration, invasion, and epithelial–mesenchymal transition (EMT) in ccRCC cells. (A, B, C) Effect of shAF or shNC on cell invasion was determined using Transwell assays with Matrigel. (D, E) Effect of knockdown of AFAP1-AS1 on cell migration of Caki-1 and ACHN cells using Transwell assays without Matrigel. The effect of knockdown of AFAP1-AS1 on the protein expression of EMT-related genes (including vimentin and E-cadherin) was detected by immunoblot analysis. Representative blots in Caki-1 (F) and ACHN (I) cells. Values are presented as mean ± SD from at least three experiments (G, H, J, K). Scale bars: 100 μm. Significant difference between shNC group and shAF group was compared, * p < 0.05, ** p < 0.01, *** p < 0.001.

Effect of AFAP1-AS1 on cell migration, invasion, and epithelial–mesenchymal transition (EMT) in ccRCC cells. (A, B, C) Effect of shAF or shNC on cell invasion was determined using Transwell assays with Matrigel. (D, E) Effect of knockdown of AFAP1-AS1 on cell migration of Caki-1 and ACHN cells using Transwell assays without Matrigel. The effect of knockdown of AFAP1-AS1 on the protein expression of EMT-related genes (including vimentin and E-cadherin) was detected by immunoblot analysis. Representative blots in Caki-1 (F) and ACHN (I) cells. Values are presented as mean ± SD from at least three experiments (G, H, J, K). Scale bars: 100 μm. Significant difference between shNC group and shAF group was compared, * p < 0.05, ** p < 0.01, *** p < 0.001. EMT (epithelial–mesenchymal transition) is essential for initiation of metastasis in tumor progression18. We observed that high level of AFAP1-AS1 promotes proliferation and invasion of Caki-1 and ACHN cells. Based on these evidences, AFAP1-AS1 may affect EMT-related genes, including E-cadherin and vimentin. As seen in Figure 3F and I, silencing of AFAP1-AS1 resulted in an increase in E-cadherin and decrease in vimentin in both Caki-1 and ACHN cells. This result is consistent with our previous observation that AFAP1-AS1 promoted cell invasion and migration.

AFAP1-AS1 Is Negatively Correlated With PTEN

Previous studies showed that lncRNAs is associated with PTEN expression19. Thus, we next investigated the relationship of AFAP1-AS1 and PTEN expression in ccRCC. First, the mRNA level of PTEN in ccRCC (n = 60) and adjutant normal tissues (n = 20) was determined by RT-PCR. As seen in Figure 4A, the expression level of PTEN in ccRCC was significantly downregulated, compared with the adjutant normal tissues (p < 0.001). Furthermore, the correlation of PTEN and AFAP1-AS1 was analyzed by Pearson correlation test. The expression level of AFAP1-AS1 is negatively correlated with PTEN mRNA level (Pearson correlation r = −0.435, p = 0.001) (Fig. 4B). Given the negative correlation of AFAP1-AS1 and PTEN, we further determined whether knockdown of AFAP1-AS1 affects PTEN/AKT signaling. As seen in Figure 4C, silencing of AFAP1-AS1 evidently upregulated PTEN expression and inactivated AKT in Caki-1 cells. This result also verified that AFAP1-AS1 negatively regulated PTEN/AKT signaling.
Figure 4

Negative correlation of AFAP1-AS1 and PTEN. (A) The comparison of PTEN expression in ccRCC tissues (n = 60) with that of adjacent normal tissues (n = 20), the mRNA expression level of PTEN determined by qRT-PCR analysis. (B) The correlation of PTEN and AFAP1-AS1 was analyzed by Pearson test, and Pearson correlation r = −0.435, p < 0.001. (C, D, E) Effect of knockdown of AFAP1-AS1 on expression of PTEN and pAKT, and AKT was detected by immunoblot analysis. β-Actin was used as loading control, *p < 0.05; ***p < 0.001.

Negative correlation of AFAP1-AS1 and PTEN. (A) The comparison of PTEN expression in ccRCC tissues (n = 60) with that of adjacent normal tissues (n = 20), the mRNA expression level of PTEN determined by qRT-PCR analysis. (B) The correlation of PTEN and AFAP1-AS1 was analyzed by Pearson test, and Pearson correlation r = −0.435, p < 0.001. (C, D, E) Effect of knockdown of AFAP1-AS1 on expression of PTEN and pAKT, and AKT was detected by immunoblot analysis. β-Actin was used as loading control, *p < 0.05; ***p < 0.001.

PTEN Deficiency Attenuates the Ability of AFAP1-AS1 to Promote Growth and Metastasis of ccRCC Cells

To further study the effect of PTEN on the negative regulating AFAP1-AS1-promoted cell growth, si-PTEN was transfected into Caik-1 and ACHN cells. Similar to our previous result, knockdown of AFAP1-AS1 alone significantly inhibited proliferation of Caik-1 and ACHN cells, while silencing PTEN expression together evidently reversed the biological function of shAF on cell growth (Fig. 5A and B).
Figure 5

PTEN deficiency attenuates the ability of AFAP1-AS1 to promote growth and metastasis of ccRCC cells. (A, B) The effect of shNC, shAF with or without siPTEN on growth of Caki-1 (A) and ACHN (B) cells at 24, 48, and 72 h was determined using CCK-8 assay. (C) Cell migration was measured in Caki-1 cells transfected with shNC, shAF with or without siPTEN through Transwell assays without Matrigel. (D) Cell invasion was measured in Caki-1 cells transfected with shNC, shAF with or without siPTEN using Transwell assays with Matrigel. (E, F) The effect of shAF with or without siPTEN on expression of EMT-related targets (including E-cadherin and vimentin), and PTEN, p-AKT, AKT, and PCNA were determined by Western blotting analysis. A significant difference between the shAF group and shAF plus siPTEN group was compared, *p < 0.05; ***p < 0.001.

PTEN deficiency attenuates the ability of AFAP1-AS1 to promote growth and metastasis of ccRCC cells. (A, B) The effect of shNC, shAF with or without siPTEN on growth of Caki-1 (A) and ACHN (B) cells at 24, 48, and 72 h was determined using CCK-8 assay. (C) Cell migration was measured in Caki-1 cells transfected with shNC, shAF with or without siPTEN through Transwell assays without Matrigel. (D) Cell invasion was measured in Caki-1 cells transfected with shNC, shAF with or without siPTEN using Transwell assays with Matrigel. (E, F) The effect of shAF with or without siPTEN on expression of EMT-related targets (including E-cadherin and vimentin), and PTEN, p-AKT, AKT, and PCNA were determined by Western blotting analysis. A significant difference between the shAF group and shAF plus siPTEN group was compared, *p < 0.05; ***p < 0.001. We also evaluated the effect of PTEN deficiency on AFAP1-AS1-mediated invasion and migration in ccRCC cells. Knockdown of AFAP1-AS1 significantly suppressed cell invasion and migration. Moreover, we observed that si-PTEN resulted in an increase in invasive cell number (Fig. 5C and D). In addition, the effect of si-PTEN on AFAP1-AS1-mediated EMT was also investigated. shAF lead to increase in E-cadherin and decrease in vimentin in Caki-1 cells, but the opposite regulation of E-cadherin and vimentin expressions was observed in combination with si-PTEN (Fig. 5E and F).

In Vivo Biological Role of AFAP1-AS1 on Tumor Growth of ccRCC

Given the ability of AFAP1-AS1 in promoting cell growth, invasion, migration, and EMT in ccRCC cells, we next evaluated the biological role of AFAP1-AS1 in vivo using xenograft mice (n = 6) bearing shNC and shAF-transfected Caki-1cells. At the end of the experimental period, tumor tissue was obtained on day 21, and expression level of AFAP1-AS1 was determined using qRT-PCR. As shown in Figure 6A, AFAP1-AS1 expression level was significantly decreased in the shAF group compared with shNC xenograft mice (p < 0.001). Tumor image is shown in Figure 6B. Tumor weight was also measured. The knockdown of AFAP1-AS1 leads to a decrease in tumor weight (Fig. 6C). No gross toxicities were evident as determined by body weight. Noticeably, tumor volume was decreased by 68%, compared with that of the shNC group (Fig. 6D). We then determined the levels of protein expression of PTEN, E-cadherin, vimentin, PCNA, pAKT, and total-AKT expression. PTEN and E-cadherin were significantly increased, and vimentin, PCNA, and p-AKT/AKT were markedly decreased (E-cadherin, p < 0.05; vimentin, p < 0.05; PCNA, p < 0.05; p-AKT, p < 0.05; PTEN, p < 0.01) (Fig. 6E and F). These in vivo findings correlated nicely with the in vitro results presented in Figures 2 and 3.
Figure 6

In vivo biological role of AFAP1-AS1 on tumor growth of ccRCC. Nude mice were transplanted subcutaneously with Caki-1 cells transfected with shAF or the control shNC (n = 6). After 21 days, the mice were sacrificed. (A) Relative expression of AFAP1-AS1 in tumor tissue was determined by qRT-PCR. (B) A representative picture of the morphology of tumor xenografts after excision at 21 days of treatment. (C) Tumor weights were measured after the mice were sacrificed. (D) Tumor volume was also calculated by the formula in the Materials and Methods section. (E, F) The effect of knockdown of AFAP1-AS1 on the expression of EMT-related target proteins in xenograft tumors was analyzed by Western blot analysis. A representative immunoblot is shown. Values are presented as mean ± SD from three separate experiments. (G) Silencing of AFAP1-AS1 inhibits growth and metastasis of ccRCC via negative regulation of PTEN/AKT signaling. Significant difference between the shNC group and the shAF group was compared, *p < 0.05; **p < 0.01; *** p < 0.001.

In vivo biological role of AFAP1-AS1 on tumor growth of ccRCC. Nude mice were transplanted subcutaneously with Caki-1 cells transfected with shAF or the control shNC (n = 6). After 21 days, the mice were sacrificed. (A) Relative expression of AFAP1-AS1 in tumor tissue was determined by qRT-PCR. (B) A representative picture of the morphology of tumor xenografts after excision at 21 days of treatment. (C) Tumor weights were measured after the mice were sacrificed. (D) Tumor volume was also calculated by the formula in the Materials and Methods section. (E, F) The effect of knockdown of AFAP1-AS1 on the expression of EMT-related target proteins in xenograft tumors was analyzed by Western blot analysis. A representative immunoblot is shown. Values are presented as mean ± SD from three separate experiments. (G) Silencing of AFAP1-AS1 inhibits growth and metastasis of ccRCC via negative regulation of PTEN/AKT signaling. Significant difference between the shNC group and the shAF group was compared, *p < 0.05; **p < 0.01; *** p < 0.001.

DISCUSSION

Currently, aberrant expression or dysfunctional activity of lncRNAs occurs in many tumor types, and emerging evidence indicates that lncRNAs participate in tumor initiation, development, and metastasis20. lncRNAs can be used as a novel therapeutic target or prognostic tumor biomarkers21. lncRNA AFAP1-AS1 is oriented in an antisense direction to the protein-coding gene AFAP1 in the opposite strand. High-level expression of AFAP1-AS1 is associated with tumor initiation, metastasis, and poor prognosis. In gallbladder cancer, hepatocellular carcinoma, tongue squamous cell carcinoma, and gastric cancer, AFAP1-AS1 is upregulated, and its higher expression is associated with tumor progression and poor prognosis. Knockdown of AFAP1-AS1 significantly inhibited cell proliferation, migration, and invasion. AFAP1-AS1 also promoted tumor growth and invasion of cholangiocarcinoma8,10,22. In this study, we found that AFAP1-AS1 expression was significantly increased in ccRCC tissues and that patients with high-level expression of AFAP1-AS1 had a shorter overall survival. Silencing AFAP1-AS1 by shAF significantly suppressed proliferation, invasion, and migration of ccRCC cells. EMT plays a key role in regulation of cancer development and metastasis. Downregulation of the epithelial marker E-cadherin to disassemble cell junctions and upregulation of the mesenchymal markers N-cadherin and vimentin to increase cell protrusions and motility is known as the main step to acquire invasive properties23–25. In both Caki-1 and ACHN cells, silencing AFAP1-AS1 resulted in an increase in E-cadherin and decrease in vimentin. Moreover, the similar effect of the knockdown of AFAP1-AS1 on vimentin and E-cadherin expression in our ccRCC xenograft mice model was also observed. This result is consistent with our previous observation that AFAP1-AS1 promoted cell invasion and migration. In addition, it was reported that men have higher incidence of developing RCC than women, and men present with larger, higher-stage, higher-grade RCC than women26. Thus, the limitation of our study is only a female mice model was used for evaluation of AFAP1-AS1 on tumor growth and metastasis. The PI3K/AKT pathway is commonly activated in ccRCC. PTEN, known as a tumor suppressor, could downregulate AKT signaling27–29. In addition, some studies reported that AFAP1-AS1 promotes cell proliferation, invasion, and metastasis through the PTEN/AKT signaling axis in non-small cell lung cancer30. In the present study, we confirmed that AFAP1-AS1 negatively regulated PTEN/AKT signaling. What is more, PTEN deficiency significantly attenuated the ability of AFAP1-AS1 in promoting ccRCC cell proliferation, invasion, migration, and EMT. In conclusion, we first observed that AFAP1-AS1 expression was significantly upregulated in ccRCC tissues. High-level expression of AFAP1-AS1 is associated with malignant behavior and poor prognosis in ccRCC. Biological function experiments showed that knockdown of AFAP1-AS1 by shRNA significantly suppressed proliferation, invasion, migration, and EMT in ccRCC cells. Moreover, a similar biological response of silencing AFAP1-AS1 was observed in our ccRCC mice model. Knockdown of AFAP1-AS1 markedly suppressed tumor growth and metastasis. In addition, we found that PTEN is negatively correlated with the expression level of AFAP1-AS1. Further studies verified that PTEN deficiency effectively attenuated the ability of AFAP1-AS1 in promoting ccRCC cell proliferation, invasion, migration, and EMT (Fig. 6G). Based on our findings, AFAP1-AS1 plays a significant role in mediating growth and metastasis signaling in ccRCC and may represent a novel therapeutic target for the treatment of ccRCC.
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4.  EMT in cancer.

Authors:  Thomas Brabletz; Raghu Kalluri; M Angela Nieto; Robert A Weinberg
Journal:  Nat Rev Cancer       Date:  2018-01-12       Impact factor: 60.716

5.  Long Noncoding RNA AFAP1-AS1 Promoted Tumor Growth and Invasion in Cholangiocarcinoma.

Authors:  Xu Lu; Chuang Zhou; Renfeng Li; Yilei Deng; Longshuan Zhao; Wenlong Zhai
Journal:  Cell Physiol Biochem       Date:  2017-05-25

6.  Targeting colon cancer with the novel STAT3 inhibitor bruceantinol.

Authors:  Ning Wei; Jun Li; Cheng Fang; Jin Chang; Vasiliki Xirou; Nick K Syrigos; Benjamin J Marks; Edward Chu; John C Schmitz
Journal:  Oncogene       Date:  2018-10-22       Impact factor: 9.867

Review 7.  Cell death under epithelial-mesenchymal transition control in prostate cancer therapeutic response.

Authors:  Diane Begemann; Harry Anastos; Natasha Kyprianou
Journal:  Int J Urol       Date:  2018-01-17       Impact factor: 3.369

Review 8.  Long non-coding RNAs as an epigenetic regulator in human cancers.

Authors:  Yutaka Kondo; Keiko Shinjo; Keisuke Katsushima
Journal:  Cancer Sci       Date:  2017-08-30       Impact factor: 6.716

9.  Ultrasound Molecular Imaging of VEGFR-2 in Clear-Cell Renal Cell Carcinoma Tracks Disease Response to Antiangiogenic and Notch-Inhibition Therapy.

Authors:  Juan D Rojas; Fanglue Lin; Yun-Chen Chiang; Anna Chytil; Diana C Chong; Victoria L Bautch; W Kimryn Rathmell; Paul A Dayton
Journal:  Theranostics       Date:  2018-01-01       Impact factor: 11.556

10.  AFAP1-AS1 is upregulated and promotes esophageal squamous cell carcinoma cell proliferation and inhibits cell apoptosis.

Authors:  Hong-Lei Luo; Ming-de Huang; Jia-Ni Guo; Rui-Hua Fan; Xiao-Tian Xia; Jing-Dong He; Xiao-Fei Chen
Journal:  Cancer Med       Date:  2016-08-30       Impact factor: 4.452

View more
  5 in total

Review 1.  AFAP1-AS1: a rising star among oncogenic long non-coding RNAs.

Authors:  Fang Xiong; Kunjie Zhu; Su Deng; Hongbin Huang; Liting Yang; Zhaojian Gong; Lei Shi; Yi He; Yanyan Tang; Qianjin Liao; Jianjun Yu; Xiaoling Li; Yong Li; Guiyuan Li; Zhaoyang Zeng; Wei Xiong; Shanshan Zhang; Can Guo
Journal:  Sci China Life Sci       Date:  2021-05-13       Impact factor: 6.038

2.  LINC00511 promotes the malignant phenotype of clear cell renal cell carcinoma by sponging microRNA-625 and thereby increasing cyclin D1 expression.

Authors:  Huanghao Deng; Changkun Huang; Yinhuai Wang; Hongyi Jiang; Shuang Peng; Xiaokun Zhao
Journal:  Aging (Albany NY)       Date:  2019-08-21       Impact factor: 5.682

3.  Dysregulation of Long Non-coding RNAs and mRNAs in Plasma of Clear Cell Renal Cell Carcinoma Patients Using Microarray and Bioinformatic Analysis.

Authors:  Bing Zhang; Wei Chu; Feifei Wen; Li Zhang; Lixia Sun; Baoguang Hu; Jingjing Wang; Qingguo Su; Yanhui Mei; Jingyuan Cao; Jing Zheng; Xiaodong Mou; Hongliang Dong; Xiaoyan Lin; Nan Wang; Hong Ji
Journal:  Front Oncol       Date:  2020-11-27       Impact factor: 6.244

Review 4.  A Review on the Role of AFAP1-AS1 in the Pathoetiology of Cancer.

Authors:  Soudeh Ghafouri-Fard; Tayybeh Khoshbakht; Bashdar Mahmud Hussen; Mohammad Taheri; Majid Mokhtari
Journal:  Front Oncol       Date:  2021-11-29       Impact factor: 6.244

5.  Identification of a combined lncRNA prognostic signature and knockdown of lncRNA MANCR to inhibit progression of clear cell renal cell carcinoma by bioinformatics analysis.

Authors:  Sheng Xue; Hanxu Guo; Shibo Wei; Yuan Song; Junfeng Huang; Shuo Deng; Qingwen Li; Wenyong Li
Journal:  Transl Androl Urol       Date:  2022-09
  5 in total

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