Literature DB >> 32256085

LncRNA FOXP4-AS1 Is Involved in Cervical Cancer Progression via Regulating miR-136-5p/CBX4 Axis.

Juan Zhao1, Ting Yang1, Long Li1.   

Abstract

INTRODUCTION: Cervical cancer (CC) is a major health threat to women worldwide. Long non-coding RNA (lncRNA) has been reported to play crucial roles in regulating carcinogenesis, including CC.
METHODS: In this work, levels of lncRNA forkhead box P4 antisense RNA 1 (FOXP4-AS1) in CC cell lines and normal cell lines were analyzed with quantitative Real-Time Polymerase Chain Reaction (qRT-PCR) method. Effects of FOXP4-AS1 on CC cellular behaviors including proliferation, migration, and invasion were explored. Bioinformatic prediction tools and luciferase activity reporter assay were conducted to explore the downstream molecules for FOXP4-AS1.
RESULTS: We found FOXP4-AS1 expression was significantly higher in CC cell lines than in normal cell line. Functionally, force FOXP4-AS1 expression increased CC cell proliferation, migration, and invasion, while FOXP4-AS1 knockdown caused opposite effects. Mechanistically, we found FOXP4-AS1 acts as competing endogenous RNA (ceRNA) for microRNA-136-5p (miR-136-5p) to regulate chromobox 4 (CBX4) expression. DISCUSSION: These findings indicated FOXP4-AS1 plays an oncogenic role in CC, which may provide novel therapeutic biomarker against CC.
© 2020 Zhao et al.

Entities:  

Keywords:  CBX4; FOXP4-AS1; cervical cancer; miR-136-5p

Year:  2020        PMID: 32256085      PMCID: PMC7094166          DOI: 10.2147/OTT.S241818

Source DB:  PubMed          Journal:  Onco Targets Ther        ISSN: 1178-6930            Impact factor:   4.147


Introduction

Cervical cancer (CC) remains the second-leading reason for cancer-related deaths in females worldwide although its incidence was gradually reduced due to the wide usage of human papillomavirus vaccine.1 Carcinogenesis is accompanied with many cellular hallmarks including resistance to death, uncontrolled cell growth, activated cell metastasis and so on, which is mediated by the aberrantly expressed of protein-coding and non-coding genes.2–4 Hence, investigations on molecular mechanisms behind CC progression can help to identify novel biomarkers for cancer diagnosis or treatment. Long non-coding RNA (lncRNA) is a type of non-coding RNA with the length of above 200 nucleotides.5 lncRNAs are reported to have limited protein or peptide coding ability.6 In recent years, lncRNAs are documented to have crucial roles in regulating cancer progression and cancer cell behaviors via sponging microRNA (miRNA).7 lncRNA Forkhead box P4 antisense RNA 1 (FOXP4-AS1) is capable to regulate numerous cellular processes including cell proliferation, migration, invasion, and apoptosis.8–10 For instance, FOXP4-AS1 was found upregulated expression in gastric cancer patients at late tumor stages and with poorer overall survival 8. FOXP4-AS1 knockdown inhibits gastric cancer cell proliferation, migration, and invasion via EZH2/LSD1 axis.8 Elevated FOXP4-AS1 expression was also found in colorectal cancer patients with advanced tumor stages and large tumor size.9 In addition, Wang et al constructed a FOXP4-AS1 centered regulatory network and revealed two potential target genes, IGFBP3 and PRC1, in hepatocellular carcinoma.10 To date, it is unclear whether FOXP4-AS1 has a role in CC carcinogenesis. To address this issue, our work was conducted to explore the potential connections of FOXP4-AS1/miR-136-5p/chromobox 4 (CBX4) triplets in regulating CC cell proliferation, migration, and invasion. Our work will provide novel insights into the mechanisms behind progression of CC.

Materials and Methods

Cell Lines

Normal cervical epithelium cell (HCvEpC) and CC cells (Caski and C33A) obtained at Chinese Academy of Science (Shanghai, China), a cell collection center that contained authentic cell lines, were incubated at RPMI-1640 (Invitrogen, Thermo Fisher Scientific, Inc., Waltham, MA, USA) in supplement with 10% fetal bovine serum (FBS, Invitrogen) and kept in a moist 37°C incubator contains 5% CO2.

Cell Transfection

miR-136-5p mimic and corresponding negative control (NC-mimic) were obtained from RiboBio (Guangzhou, Guangdong, China). Small interfering RNA targeting FOXP4-AS1 (si-FOXP4-AS1) and corresponding negative control (NC-siR) were also designed by RiboBio. pcDNA3.1 contains sequence of FOXP4-AS1 (pFOXP4-AS1) and CBX4 (pCBX4) were purchased from GenScript (Nanjing, Jiangsu, China). Transfection of these molecules was conducted using Lipofectamine 2000 (Invitrogen).

Quantitative Real-Time PCR (RT-qPCR)

Total RNA of cells was extracted using Trizol reagent (Invitrogen). After RNA sample concentration quantification using NanoDrop-1000 (Thermo Fisher Scientific, Inc.), equal amount of RNA was reverse transcribed into complementary DNA with reverse transcription kit (Takara, Dalian, Liaoning, China) based on the recommended protocols. RT-qPCR was conducted at ABI QuantStudio 6 (Thermo Fisher Scientific, Inc.) using SYBR Green (Takara) using the following primers: FOXP4-AS1: F: 5ʹ-GTGAGCTTCTGGGTTCGACA-3ʹ, R: 5ʹ-ATTGAGGGTTAGGGCAGCAC-3ʹ; CBX4: F: 5ʹ-ACCGTGCCAAGCTGGATTT-3ʹ, R: 5ʹ-AGGTCGTACATTTTGGGGTCG-3ʹ; GAPDH: F: 5ʹ-GGTGAAGGTCGGAGTCAACGG-3ʹ, R: 5ʹ-CCAGAGTTAAAAGCAGCCCTGG-3ʹ; miR-136-5p: F: 5ʹ-ACACTCCAGCTGGGACTCCATTTGTTTT-3ʹ, R: 5ʹ-CCAGTGCAGGGTCCGAGGT-3ʹ, U6 snRNA: F: 5ʹ-GCTTCGGCAGCACATATACTAAAAT-3ʹ, R: 5ʹ-CGCTTCACGAATTTGCGTGTCAT-3ʹ. Relative expression level was calculated using 2−ΔΔCt method. The procedure was as follows: 94°C for 30 s, 55°C for 30 s and 72°C for 90 s, for a total of 40 cycles. Experiments were repeated in triplicates.

Cell Proliferation Assays

5 × 103 cells were seeded into 96-well plates to detect cell proliferation with cell counting kit-8 (CCK-8, Beyotime, Haimen, Jiangsu, China). At indicated time (0, 24, 48, and 72 h), 10 μL CCK-8 reagent was added to the well and further incubated for 4 h. Then, microplate reader was used to detect the absorbance at 450 nm. Experiments were repeated in triplicates.

Wound-Healing Assay

Cells were pre-treated with trypsin and then put into 6-well plates to grow until 100% confluence. Scratch was generated at cell surface using a 200 μL pipette tip, washed with PBS to remove debris, and incubated in serum-free medium. At 0 and 48 h, images were captured and observed under microscope. Cell migration distance was measured using Image J software. Experiments were repeated in triplicates.

Transwell Invasion Assay

Transwell invasion assay was conducted to measure cell invasion ability using 24-well artificial inserts with 8 µm precoated Matrigel membrane, which allow single to invade. 1 × 105 cells in serum-free medium were put into the upper chamber, while the serum contained medium was filled into the lower chamber. After 48 h of incubation, the non-invasive cells were gently removed by cotton, while invasive cells were fixed with methanol and stained with crystal violet. After washed by PBS, numbers of invasive cells were counted under microscope. Experiments were repeated in triplicates.

Bioinformatics Analysis

DIANA tools () was used to search for miRNA target for FOXP4-AS1, while ENCORI database () was used to predict targets for miRNA.

Luciferase Reporter Assay

The amplified wild-type FOXP4-AS1 or CBX4 sequences were inserted into pmirGLO vector (GeneChem, Shanghai, China) to generate FOXP4-AS1-wt or CBX4-wt. Site-direct mutagenesis kit (Takara) was used to generate mutant luciferase vectors and termed as FOXP4-AS1-mt or CBX4-mt. Cells were co-transfected with luciferase constructs and miR-136-5p mimic or NC-mimic using Lipofectamine 2000. Dual-Luciferase Reporter Assay System (Promega, Madison, WI, USA) was used to measure relative luciferase activity after 48 h of transfection using Renilla luciferase as internal control. Experiments were repeated in triplicates.

Statistical Analysis

Data collected from three repeated experiments were analyzed with GraphPad PRISM 6 (GraphPad, San Diego, CA, USA) and presented at the manner of mean ± standard deviation. Differences in groups were analyzed by Student’s t-test or one-way ANOVA and Tukey post-hoc test. P < 0.05 was believed to indicate significant difference.

Results

FOXP4-AS1 Expression Was Elevated in CC Cell Lines

RT-qPCR assay was used to detect FOXP4-AS1 level in CC cell lines. As shown in Figure 1, expression of lncRNA FOXP4-AS1 in CC cells Caski (3.77 ± 0.21) and C33A (3.28 ± 0.17) was significantly higher than that in HCvEpC (1.03 ± 0.11).
Figure 1

lncRNA FOXP4-AS1 was upregulated in human CC cells compared with normal cell.

Note: ***P < 0.001.

Abbreviations: lncRNA, long non-coding RNA; FOXP4-AS1, forkhead box P4 antisense RNA 1; CC, cervical cancer.

lncRNA FOXP4-AS1 was upregulated in human CC cells compared with normal cell. Note: ***P < 0.001. Abbreviations: lncRNA, long non-coding RNA; FOXP4-AS1, forkhead box P4 antisense RNA 1; CC, cervical cancer.

FOXP4-AS1 Overexpression Promotes CC Cell Proliferation, Migration, and Invasion

To investigate the functions of FOXP4-AS1 in CC, we upregulated FOXP4-AS1 levels in CC cells. RT-qPCR showed FOXP4-AS1 level was significantly elevated by pFOXP4-AS1 (3.14 ± 0.28 vs 1.03 ± 0.08) (Figure 2A). Cell proliferation analysis indicated cell viability was significantly stimulated by FOXP4-AS1 overexpression (1.96 ± 0.10 vs 1.56 ± 0.07) (Figure 2B). Wound-healing assay and transwell invasion assay revealed migration (77.33 ± 4.16 vs 54.03 ± 4.36) and invasion (615 ± 31 vs 381 ± 18) rates were significantly elevated in FOXP4-AS1 overexpressed groups compared with pcDNA3.1 groups (Figure 2C and D).
Figure 2

Overexpression of lncRNA FOXP4-AS1 promotes CC cell proliferation, migration, and invasion in vitro.

Notes: (A) FOXP4-AS1 was overexpression in CC cells by transfection with pFOXP4-AS1. (B) Effects of FOXP4-AS1 overexpression on CC cell proliferation were measured by CCK-8 assay. (C) Roles of FOXP4-AS1 overexpression on CC cell migration were analyzed with wound-healing assay. (D) Effects of FOXP4-AS1 overexpression on CC cell invasion were measured by transwell invasion assay. **P < 0.01, *** P < 0.001.

Abbreviations: lncRNA, long non-coding RNA; FOXP4-AS1, forkhead box P4 antisense RNA 1; CC, cervical cancer; CCK-8, cell counting kit-8.

Overexpression of lncRNA FOXP4-AS1 promotes CC cell proliferation, migration, and invasion in vitro. Notes: (A) FOXP4-AS1 was overexpression in CC cells by transfection with pFOXP4-AS1. (B) Effects of FOXP4-AS1 overexpression on CC cell proliferation were measured by CCK-8 assay. (C) Roles of FOXP4-AS1 overexpression on CC cell migration were analyzed with wound-healing assay. (D) Effects of FOXP4-AS1 overexpression on CC cell invasion were measured by transwell invasion assay. **P < 0.01, *** P < 0.001. Abbreviations: lncRNA, long non-coding RNA; FOXP4-AS1, forkhead box P4 antisense RNA 1; CC, cervical cancer; CCK-8, cell counting kit-8.

FOXP4-AS1 Knockdown Inhibits CC Cell Proliferation, Migration, and Invasion

Furthermore, FOXP4-AS1 was silenced in CC cells by si-FOXP4-AS1 (0.32 ± 0.04 vs 1.03 ± 0.07) (Figure 3A). CCK-8 assay showed cell proliferation rate in cells transfected with si-FOXP4-AS1 was decreased compared those with NC-siR (1.10± 0.06 vs 1.64 ± 0.10) (Figure 3B). Likewise, the introduction of si-FOXP4-AS1 decreased cell migration (28.33 ± 3.21 vs 52.02 ± 3.61) and invasion (198 ± 14 vs 372 ± 13) abilities in comparison with NC-siR (Figure 3C and D).
Figure 3

Knockdown of lncRNA FOXP4-AS1 inhibits CC cell proliferation, migration, and invasion in vitro.

Notes: (A) FOXP4-AS1 was knockdown in CC cells by transfection with si-pFOXP4-AS1. (B) Effects of FOXP4-AS1 knockdown on CC cell proliferation were measured by CCK-8 assay. (C) Roles of FOXP4-AS1 knockdown on CC cell migration were analyzed with wound-healing assay. (D) Effects of FOXP4-AS1 knockdown on CC cell invasion were measured by transwell invasion assay. **P < 0.01, *** P < 0.001.

Abbreviations: lncRNA, long non-coding RNA; FOXP4-AS1, forkhead box P4 antisense RNA 1; CC, cervical cancer; CCK-8, cell counting kit-8; si-FOXP4-AS1, small interfering RNA against FOXP4-AS1; NC-siR, negative control siRNA.

Knockdown of lncRNA FOXP4-AS1 inhibits CC cell proliferation, migration, and invasion in vitro. Notes: (A) FOXP4-AS1 was knockdown in CC cells by transfection with si-pFOXP4-AS1. (B) Effects of FOXP4-AS1 knockdown on CC cell proliferation were measured by CCK-8 assay. (C) Roles of FOXP4-AS1 knockdown on CC cell migration were analyzed with wound-healing assay. (D) Effects of FOXP4-AS1 knockdown on CC cell invasion were measured by transwell invasion assay. **P < 0.01, *** P < 0.001. Abbreviations: lncRNA, long non-coding RNA; FOXP4-AS1, forkhead box P4 antisense RNA 1; CC, cervical cancer; CCK-8, cell counting kit-8; si-FOXP4-AS1, small interfering RNA against FOXP4-AS1; NC-siR, negative control siRNA.

FOXP4-AS1 Acts as ceRNA by Binding with miR-136-5p

Through bioinformatic analysis, we found FOXP4-AS1 could complementarily bind with miR-136-5p (Figure 4A). Then, we detected the expression of miR-136-5p in CC cells after FOXP4-AS1 overexpress or silence. We found FOXP4-AS1 overexpression decreases (Caski: 0.97 ± 0.07 vs 0.30 ± 0.06, C33A: 1.02 ± 0.07 vs 0.29 ± 0.05), while FOXP4-AS1 knockdown increases (Caski: 0.94 ± 0.09 vs 1.92 ± 0.10, C33A: 1.00 ± 0.09 vs 2.15 ± 0.19) the levels of miR-136-5p levels in CC cells (Figure 4B and C). The luciferase activity reporter assay showed miR-136-5p overexpression could decrease the luciferase activities in cells transfected with FOXP4-AS1-wt (Caski: 0.96 ± 0.06 vs 0.27 ± 0.06, C33A: 1.01 ± 0.05 vs 0.32 ± 0.05) but not FOXP4-AS1-mt. Indicating the mutations on the predicted lncRNA-miRNA binding regions can disturb the interaction of FOXP4-AS1 and miR-136-5p (Figure 4D). In addition, we showed miR-136-5p expression was decreased in Caski (0.31 ± 0.06) and C33A (0.32 ± 0.06) comparted with HCvEpC (1.03 ± 0.11) (Figure 4E).
Figure 4

lncRNA FOXP4-AS1 could directly bind with miR-136-5p.

Notes: (A) Binding site between FOXP4-AS1 and miR-136-5p. Effects of FOXP4-AS1 (B) overexpression, and (C) knockdown on the expression of miR-136-5p. (D) Relative luciferase activities in CC cells with luciferase activity vectors and synthesized miRNAs. (E) miR-136-5p was reduced expression in CC cells. ***P < 0.001.

Abbreviations: lncRNA, long non-coding RNA; FOXP4-AS1, forkhead box P4 antisense RNA 1; CC, cervical cancer; miR-136-5p, microRNA-136-5p; wt, wild-type; mt, mutant; NC-mimic, negative control miRNA for miR-136-5p mimic.

lncRNA FOXP4-AS1 could directly bind with miR-136-5p. Notes: (A) Binding site between FOXP4-AS1 and miR-136-5p. Effects of FOXP4-AS1 (B) overexpression, and (C) knockdown on the expression of miR-136-5p. (D) Relative luciferase activities in CC cells with luciferase activity vectors and synthesized miRNAs. (E) miR-136-5p was reduced expression in CC cells. ***P < 0.001. Abbreviations: lncRNA, long non-coding RNA; FOXP4-AS1, forkhead box P4 antisense RNA 1; CC, cervical cancer; miR-136-5p, microRNA-136-5p; wt, wild-type; mt, mutant; NC-mimic, negative control miRNA for miR-136-5p mimic.

miR-136-5p Targets CBX4 and Regulate Its Expression

We further predicted targets of miR-136-5p using bioinformatic algorithm and found miR-136-5p could bind with 3ʹ-UTR of CBX4 (Figure 5A). The introduction of miR-136-5p mimic decreased the expression of CBX4 in Caski (1.03 ± 0.06 vs 0.31 ± 0.03) and C33A (0.97 ± 0.06 vs 0.30 ± 0.03) (Figure 5B). In addition, overexpression of FOXP4-AS1 increases (Caski: 0.98 ± 0.05 vs 1.84 ± 0.09, C33A: 0.97 ± 0.06 vs 1.88 ± 0.09), and knockdown of FOXP4-AS1 decreases CBX4 expression in CC cells (Caski: 0.94 ± 0.09 vs 0.39 ± 0.09, C33A: 1.00 ± 0.09 vs 0.43 ± 0.08) (Figure 5C and D). Notably, the transfection of miR-136-5p mimic decreased luciferase activity in cells transfected with CBX4-wt (Caski: 1.02 ± 0.05 vs 0.29 ± 0.08, C33A: 0.98 ± 0.08 vs 0.35 ± 0.07) (Figure 5E). Furthermore, the expression of CBX4 was revealed to be significantly elevated in Caski (2.33 ± 0.14) and C33A (2.09 ± 0.16) compared with HCvEpC (1.03 ± 0.11) (Figure 5F).
Figure 5

miR-136-5p could directly bind with CBX4.

Notes: (A) Binding site between CBX4 and miR-136-5p. (B) Effects of miR-136-5p overexpression on the expression of CBX4. Effects of FOXP4-AS1 (C) overexpression, and (D) knockdown on the expression of CBX4. (E) Relative luciferase activities in CC cells with luciferase activity vectors and synthesized miRNAs. (F) CBX4 was increased expression in CC cells. **P < 0.01, ***P < 0.001.

Abbreviations: FOXP4-AS1, forkhead box P4 antisense RNA 1; CBX4, chromobox 4; CC, cervical cancer; miR-136-5p, microRNA-136-5p; wt, wild-type; mt, mutant; NC-mimic, negative control miRNA for miR-136-5p mimic.

miR-136-5p could directly bind with CBX4. Notes: (A) Binding site between CBX4 and miR-136-5p. (B) Effects of miR-136-5p overexpression on the expression of CBX4. Effects of FOXP4-AS1 (C) overexpression, and (D) knockdown on the expression of CBX4. (E) Relative luciferase activities in CC cells with luciferase activity vectors and synthesized miRNAs. (F) CBX4 was increased expression in CC cells. **P < 0.01, ***P < 0.001. Abbreviations: FOXP4-AS1, forkhead box P4 antisense RNA 1; CBX4, chromobox 4; CC, cervical cancer; miR-136-5p, microRNA-136-5p; wt, wild-type; mt, mutant; NC-mimic, negative control miRNA for miR-136-5p mimic.

FOXP4-AS1 Regulates CC Cell Behaviors via miR-136-5p/CBX4

At length, we performed rescue experiments to investigate whether miR-136-5p/CBX4 involved in FOXP4-AS1 induced CC cell behaviors alteration. Functional assays revealed that cell proliferation, migration, and invasion abilities were increased by pCBX4 (proliferation: 1.98 ± 0.14 vs 1.50 ± 0.05, migration: 81.33 ± 5.03 vs 55.33 ± 4.04, invasion: 589 ± 22 vs 355 ± 21) and reduced by miR-136-5p mimic (proliferation: 1.06 ± 0.06 vs 1.50 ± 0.05, migration: 30.66 ± 3.21 vs 55.33 ± 4.04, invasion: 198 ± 14 vs 355 ± 21) (Figure 6A-C). Co-transfection of pFOXP4-AS1 and miR-136-5p mimic reversed the pFOXP4-AS1 induced stimulations on CC cell behaviors (proliferation: 1.74 ± 0.05, migration: 69.00 ± 2.65, invasion: 455 ± 24) (Figure 6A-C). Moreover, the co-transfection of pCBX4 and miR-136-5p mimic abolished the roles of miR-136-5p mimic on cell behaviors (proliferation: 1.24 ± 0.06 vs 1.06 ± 0.06, migration: 43.67 ± 3.06 vs 30.66 ± 3.21, invasion: 279 ± 15 vs 355 ± 21) (Figure 6A-C).
Figure 6

lncRNA FOXP4-AS1 regulates CC cell proliferation, migration, and invasion via miR-136-5p/CBX4 axis.

Notes: (A) Effects of miR-136-5p or CBX4 on cell proliferation were analyzed with CCK-8 assay. (B) Roles of miR-136-5p or CBX4 on CC cell migration were analyzed with wound-healing assay. (C) Effects of miR-136-5p or CBX4 on CC cell invasion were measured by transwell invasion assay. *P < 0.05, **P < 0.01.

Abbreviations: lncRNA, long non-coding RNA; FOXP4-AS1, forkhead box P4 antisense RNA 1; miR-136-5p, microRNA-136-5p; CBX4, chromobox 4; CC, cervical cancer; CCK-8, cell counting kit-8; NC-mimic, negative control miRNA for miR-136-5p mimic.

lncRNA FOXP4-AS1 regulates CC cell proliferation, migration, and invasion via miR-136-5p/CBX4 axis. Notes: (A) Effects of miR-136-5p or CBX4 on cell proliferation were analyzed with CCK-8 assay. (B) Roles of miR-136-5p or CBX4 on CC cell migration were analyzed with wound-healing assay. (C) Effects of miR-136-5p or CBX4 on CC cell invasion were measured by transwell invasion assay. *P < 0.05, **P < 0.01. Abbreviations: lncRNA, long non-coding RNA; FOXP4-AS1, forkhead box P4 antisense RNA 1; miR-136-5p, microRNA-136-5p; CBX4, chromobox 4; CC, cervical cancer; CCK-8, cell counting kit-8; NC-mimic, negative control miRNA for miR-136-5p mimic.

Discussion

Survival of CC patients remains poor although the improvements in disease diagnosis or treatment methods.11 Emerging evidence indicated genomic mutations often occurred in regions that do not have the ability to encode proteins. Improvements in bioinformatic analyses methods and applications of high throughput sequencing technology have identified numerous aberrantly expressed lncRNAs in cancers.12,13 It should be noted lncRNAs play crucial roles in regulating CC carcinogenesis. Previous work found lncRNA SNHG7 was increased expression in CC tissues and correlated with poor overall survival.14 The knockdown of SNHG7 results in the inhibition of CC cell proliferation and invasion.14 Here, we reported lncRNA FOXP4-AS1 was elevated expression in Caski and C33A cells and to different content. The difference in expression level may be the different pathological and malignant status of cancer cells. Functional assays indicated that FOXP4-AS1 overexpression promoted CC cell proliferation, migration, and invasion. Moreover, we showed knockdown of FOXP4-AS1 inhibited CC cell behaviors. These results indicated an oncogenic role of FOXP4-AS1 in CC, which was consistent with its role in previous reported cancer types including gastric cancer, colorectal cancer, and hepatocellular carcinoma.8–10 Previous work found lncRNA can serve as sponge for miRNA as it contains miRNA binding sites.15 In this work, we found miR-136-5p was a potential target of FOXP4-AS1 using bioinformatic tools. miR-136-5p was reported to serve as a tumor-suppressive miRNA in renal cell carcinoma and has the potential to be used as biomarker for early detection and prognosis prediction.16 In addition, miR-136-5p was found decreased expression in lung squamous cell cancer and it may interact with UGT1A7 and ADH7 to regulate cellular metabolism processes.17 We validated the direct connection of FOXP4-AS1 and miR-136-5p using luciferase activity reporter assay. The previous works have identified multiplies miR-136-5p targets including UGT1A7, ADH7, and ROCK1 in cancers.17,18 Next, we found CBX4 as a target for miR-136-5p. CBX4 belongs to the Polycomb group (PcG) family and revealed to promote lung cancer proliferation and metastasis through recruiting BMI-1, indicating CBX4 may be a possible therapeutic target in cancer.19 Moreover, CBX4 was revealed to exert oncogenic roles in breast cancer progression via affecting the Notch1 signaling pathway.20 In our studies, we found lncRNA FOXP4-AS1 upregulates CBX4 expression via miR-136-5p. Rescue experiments by transfecting of miR-136-5p mimic, pFOXP4-AS1, and pCBX4 indicated lncRNA FOXP4-AS1 promotes CC cell proliferation, migration, and invasion through sponging miR-136-5p to regulate CBX4 expression as the introduction of pFOXP4-AS1 and pCBX4 could abolish the effects of miR-136-5p mimic on cellular behaviors.

Conclusion

Taken together, our results indicated that lncRNA FOXP4-AS1 promotes CC cell proliferation, migration, and invasion in vitro by targeting miR-136-5p and upregulating CBX4 expression, which helped us to understand the mechanisms of FOXP4-AS1 in CC development.
  20 in total

1.  Investigation of miR-136-5p key target genes and pathways in lung squamous cell cancer based on TCGA database and bioinformatics analysis.

Authors:  Zu-Cheng Xie; Tian-Tian Li; Bin-Liang Gan; Xiang Gao; Li Gao; Gang Chen; Xiao-Hua Hu
Journal:  Pathol Res Pract       Date:  2018-04-05       Impact factor: 3.250

Review 2.  Human papillomavirus in cervical cancer and oropharyngeal cancer: One cause, two diseases.

Authors:  Tara A Berman; John T Schiller
Journal:  Cancer       Date:  2017-03-27       Impact factor: 6.860

3.  Long non-coding RNA FOXP4-AS1 is an unfavourable prognostic factor and regulates proliferation and apoptosis in colorectal cancer.

Authors:  Juan Li; Yifan Lian; Changsheng Yan; Zeling Cai; Jie Ding; Zhonghua Ma; Peng Peng; Keming Wang
Journal:  Cell Prolif       Date:  2016-10-27       Impact factor: 6.831

4.  CBX4 exhibits oncogenic activities in breast cancer via Notch1 signaling.

Authors:  Jin-Sheng Zeng; Zhen-Dong Zhang; Li Pei; Zhi-Zhu Bai; Yong Yang; Hong Yang; Qiu-Hong Tian
Journal:  Int J Biochem Cell Biol       Date:  2017-12-08       Impact factor: 5.085

5.  Tumor suppressor microRNA-136-5p regulates the cellular function of renal cell carcinoma.

Authors:  Peijie Chen; Liwen Zhao; Xiang Pan; Lu Jin; Canbin Lin; Weijie Xu; Jinling Xu; Xin Guan; Xueling Wu; Yong Wang; Shangqi Yang; Tao Wang; Yongqing Lai
Journal:  Oncol Lett       Date:  2018-02-16       Impact factor: 2.967

6.  A Peptide Encoded by a Putative lncRNA HOXB-AS3 Suppresses Colon Cancer Growth.

Authors:  Jin-Zhou Huang; Min Chen; Xing-Cheng Gao; Song Zhu; Hongyang Huang; Min Hu; Huifang Zhu; Guang-Rong Yan
Journal:  Mol Cell       Date:  2017-10-05       Impact factor: 17.970

7.  The GENCODE v7 catalog of human long noncoding RNAs: analysis of their gene structure, evolution, and expression.

Authors:  Thomas Derrien; Rory Johnson; Giovanni Bussotti; Andrea Tanzer; Sarah Djebali; Hagen Tilgner; Gregory Guernec; David Martin; Angelika Merkel; David G Knowles; Julien Lagarde; Lavanya Veeravalli; Xiaoan Ruan; Yijun Ruan; Timo Lassmann; Piero Carninci; James B Brown; Leonard Lipovich; Jose M Gonzalez; Mark Thomas; Carrie A Davis; Ramin Shiekhattar; Thomas R Gingeras; Tim J Hubbard; Cedric Notredame; Jennifer Harrow; Roderic Guigó
Journal:  Genome Res       Date:  2012-09       Impact factor: 9.043

8.  LncRNA SNHG14 promotes inflammatory response induced by cerebral ischemia/reperfusion injury through regulating miR-136-5p /ROCK1.

Authors:  Yu Zhong; Chao Yu; Wenyi Qin
Journal:  Cancer Gene Ther       Date:  2018-12-14       Impact factor: 5.854

9.  CBX4 promotes the proliferation and metastasis via regulating BMI-1 in lung cancer.

Authors:  Changpeng Hu; Qian Zhang; Qin Tang; Huyue Zhou; Wuyi Liu; Jingbin Huang; Yali Liu; Qin Wang; Jing Zhang; Min Zhou; Fangfang Sheng; Wenjing Lai; Jing Tian; Guobing Li; Rong Zhang
Journal:  J Cell Mol Med       Date:  2019-11-13       Impact factor: 5.310

10.  Analysis of miRNA-mRNA regulatory network revealed key genes induced by aflatoxin B1 exposure in primary human hepatocytes.

Authors:  Ziyang Zhang; Dongyang Tang; Bin Wang; Zhiwei Wang; Mingjiu Liu
Journal:  Mol Genet Genomic Med       Date:  2019-09-09       Impact factor: 2.183

View more
  20 in total

1.  Systematic analyses of a novel circRNA-related miRNAs prognostic signature for Cervical Cancer.

Authors:  Shasha Wang; Songying Zhang
Journal:  Genet Mol Biol       Date:  2022-06-24       Impact factor: 2.087

2.  A novel mechanism by which ACTA2-AS1 promotes cervical cancer progression: acting as a ceRNA of miR-143-3p to regulate SMAD3 expression.

Authors:  Lingli Luo; Min Wang; Xianping Li; Can Luo; Shan Tan; Sheng Yin; Lei Liu; Xiaolin Zhu
Journal:  Cancer Cell Int       Date:  2020-08-05       Impact factor: 5.722

3.  LncRNA FOXP4-AS1 serves as a biomarker for nasopharyngeal carcinoma diagnosis and prognosis.

Authors:  Lei Yao; TianTian Wang; Xinyan Wang
Journal:  3 Biotech       Date:  2021-01-03       Impact factor: 2.406

4.  Grape Seed Proanthocyanidins (GSPs) Inhibit the Development of Cutaneous Squamous Cell Carcinoma by Regulating the hsa_circ_0070934/miR-136-5p/PRAF2 Axis.

Authors:  Weibiao Xiong; Lan'e Wu; Runke Tang; Qingqing Zhang; Qian Guo; Shuhua Song
Journal:  Cancer Manag Res       Date:  2021-06-01       Impact factor: 3.989

5.  Long intergenic noncoding RNA00265 promotes proliferation of gastric cancer via the microRNA-144-3p/Chromobox 4 axis.

Authors:  Zengxi Yang; Xi OuYang; Liang Zheng; Lizhen Dai; Wenjuan Luo
Journal:  Bioengineered       Date:  2021-12       Impact factor: 3.269

6.  The molecular mechanisms of the long noncoding RNA SBF2-AS1 in regulating the proliferation of oesophageal squamous cell carcinoma.

Authors:  Wenjuan Zha; Xiaomin Li; Xiaowei Tie; Yao Xing; Hao Li; Fei Gao; Ting Ye; Wangqi Du; Rui Chen; Yangchen Liu
Journal:  Sci Rep       Date:  2021-01-12       Impact factor: 4.379

7.  Long Noncoding RNA FOXP4-AS1 Predicts Unfavourable Prognosis and Regulates Proliferation and Invasion in Hepatocellular Carcinoma.

Authors:  Jingchen Liang; Duo Wang; Guanhua Qiu; Xiaoqi Zhu; Junjie Liu; Hang Li; Pingping Guo
Journal:  Biomed Res Int       Date:  2021-02-01       Impact factor: 3.411

8.  Apolipoprotein C1 (APOC1): A Novel Diagnostic and Prognostic Biomarker for Cervical Cancer.

Authors:  Xiu Shi; Juan Wang; Shouqian Dai; Lingyan Qin; Jinhua Zhou; Youguo Chen
Journal:  Onco Targets Ther       Date:  2020-12-15       Impact factor: 4.147

9.  Circular RNA circ-ERBB2 Elevates the Warburg Effect and Facilitates Triple-Negative Breast Cancer Growth by the MicroRNA 136-5p/Pyruvate Dehydrogenase Kinase 4 Axis.

Authors:  Yihong Huang; Shuo Zheng; Ying Lin; Liming Ke
Journal:  Mol Cell Biol       Date:  2021-08-09       Impact factor: 4.272

10.  Circ_0013359 facilitates the tumorigenicity of melanoma by regulating miR-136-5p/RAB9A axis.

Authors:  Qi Zhang; Yingfa Feng; Jiangang Feng; Jinming Zhang; Lili Huang
Journal:  Open Life Sci       Date:  2021-05-22       Impact factor: 0.938

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.