Startseite Forkhead Box P4 promotes the proliferation of cells in colorectal adenocarcinoma
Artikel Open Access

Forkhead Box P4 promotes the proliferation of cells in colorectal adenocarcinoma

  • Aidong Liu ORCID logo EMAIL logo , Jiuling Pang EMAIL logo , Guangyi Xiong , Qi Liu und Liming Chen
Veröffentlicht/Copyright: 13. Juli 2023
Oncologie
Aus der Zeitschrift Oncologie Band 25 Heft 5

Abstract

Objectives

Forkhead Box P4 (FOXP4) is a transcription factor that promotes tumor formation and progression. However, studies on its roles in colorectal adenocarcinoma (CRAC) and cell proliferation regulation are few to date. This work investigates the expression of FOXP4 in CRAC, explores the characteristic of FOXP4 in different clinicopathological features, and analyzes its regulation of cell proliferation.

Methods

The GEPIA database was used to predict the trend of FOXP4 expression in colon cancer and normal mucosa. Tumor tissue and normal paracancerous mucosal tissue were sampled from 64 cases diagnosed with CRAC and who were receiving radical surgery at Tianjin Hospital from January 2017 and December 2022. FOXP4 and proliferating cell nuclear antigen (PCNA) were detected by the immunohistochemistry EnVision method. The colon cancer cell lines SW480, HCT15, and SW620 and the normal colon cell line NCM460 were selected, and expression of FOXP4 was detected by the Western blot method. The siRNA-FOXP4 plasmid was synthesized and transfected with SW480 and HCT15 cell lines, respectively, to establish si-FOXP4 groups, and empty vector transfection group (NC-FOXP4) and blank control group (NC) was set up. The expression levels of FOXP4 and PCNA were detected by the Western blot method, while the cell proliferation activity was assessed using CCK-8. Normally distributed quantitative data were compared between two and more groups with ANOVA (SNK-based pairwise comparison), while intergroup enumeration data comparisons were performed through χ 2 test and assessed through linear correlation analysis.

Results

GEPIA-based prediction shows a potential rise in FOXP4 expression in colon cancer. The rate of positive FOXP4 expression is significantly higher in CRAC tissue than in normal mucosa (p<0.05). The difference in FOXP4 is statistically significant in the comparison of maximum tumor diameter and depth of invasion in CRAC (p<0.05) but not in the comparison of gender, age, degree of differentiation, tumor focus, tumor embolism, and lymph node metastasis (p>0.05). The expression levels of FOXP4 and PCNA in CRAC are positively correlated (p<0.05). FOXP4 expression is significantly higher in cell lines SW480, HCT15, and SW620 than in cell line NCM460. The cell proliferation activity and PCNA expression are significantly lower in si-FOXP4 group than in NC-FOXP4 and NC groups for cell lines SW480 and HCT15.

Conclusions

FOXP4 is highly expressed and has a proliferative effect on tumor cells in CRAC.

Introduction

Colorectal adenocarcinoma (CRAC) is one of the most prevalent malignant tumors in the digestive system and a common disease that endangers human health and life. Many studies have been conducted concerning the diagnosis, treatment, and pathogenesis of different tumors, and they helped advance the understanding of the onset and progression of tumors to some degree [1]. However, the mechanisms behind the onset and progression of tumors have not been resolved at root, which means that tumor explorations and studies are far from the end [2]. The formation and progression of CRAC are associated with the biological behavior of cells, such as proliferation, apoptosis, invasion, and migration [3]. The onset of CRAC, as a highly proliferative tumor, is usually accompanied with abnormalities of genes and their expression proteins [4]. Our preliminary studies have focused on the P subfamily of Forkhead Box (FOX) transcription factors [5]. According to studies, members of the subfamily differ widely in the expression of the same tumor. For example, De et al. [6] showed that the downregulation of Forkhead Box P1 (FOXP1) is associated with the poor prognosis of colon cancer patients and that FOXP1 affects the proliferation of colon cancer cells and the process of interstitial inflammatory response. Liao et al. [7] found low expression of Forkhead Box P2 (FOXP2) in colon cancer. However, Sun et al. [8] detected high expression of Forkhead Box P3 (FOXP3) in colon cancer, which is associated with overall survival and progression-free survival. Forkhead Box P4 (FOXP4), as a new member of the subfamily, contains the highly conserved C2H2 zinc finger domain and may therefore perform functions different from those of FOXP1, FOXP2, and FOXP3. Thus, our research team analyzed FOXP4 expression in colon cancer through a bioinformatic library and predicted a possible trend of high FOXP4 expression in colon cancer. On this basis, the experiment was designed to profile FOXP4 expression in CRAC, analyze its variations in respect of different clinicopathological features, and explore the role of FOXP4 in regulating cell proliferation.

Materials and methods

Clinical data

The study subjects were randomly selected from patients diagnosed with CRAC and who were receiving radical surgery at Tianjin Hospital (China) from January 2017 to December 2022. Inclusion criteria: (1) specimens were subjected to postoperative pathological examination, sections were reviewed by two attending pathologists, and the diagnosis was performed in compliance with the criteria for pathological diagnosis; (2) clinical information was complete, including gender, age, degree of differentiation, tumor focus, tumor embolism, lymph node metastasis (LNMets), maximum tumor diameter (MTD), and depth of invasion (DOI). Exclusion criteria: (1) cases receiving preoperative radiochemotherapy; (2) cases with double or multiple primary cancers; (3) cases with Lynch syndrome; (4) cases with a history of gastrointestinal surgery. The study observed 64 cases, which included 38 males and 26 females aged 44 to 89 with a median of 70. Among them, cancer was found in the colon (ileocecal junction, ascending colon, transverse colon, descending colon, and sigmoid colon) in 37 cases and in the rectum in 27 cases. MTD was 1.5–10 cm, and the average was 5.0 ± 0.9 cm. A total of 29 cases were well differentiated, 24 were moderately differentiated, and 11 were poorly differentiated (including mucinous adenocarcinoma). LNMets was detected in 32 cases (at 1–15 nodes) and not in the 32 others. Tumor embolism was identified in 12 cases and not in the 52 others. Tumor tissue and normal mucosal tissue (located 5 cm+ away for tumor edges and confirmed through pathological examination) were sampled and embedded in paraffin. This study was approved by the Medical Ethics Committee of Tianjin Hospital pursuant to the criteria in the Helsinki Declaration, and it was registered in the ethics review document numbered 2022–150.

Evaluation method of sample size

Two independent proportions were compared with the computing formula as follows: n1=n2=1,641.4 × [(uα + uβ)/(sin−1 p 1  − sin−1 p 2 )]. A total of 50 % of FOXP4 expression was found positive (5/10) in the tumor tissue (of 10 cases) for the pre-experiment, while 20 % was found positive (2/10) in the normal mucosal tissue (of 10 cases) for the pre-experiment. Thus, by setting p1=0.5 and p2=0.2, the calculation yields n1=n2≈64 cases.

Materials

The colon cancer cell lines SW480, HCT15, and SW620 and the normal colon cell line NCM460 were purchased from Shanghai GenePharma Co., Ltd. (Shanghai, China). The RPMI 1640 medium containing fetal bovine serum was purchased from Shanghai Zhaoyuan Biotechnology Co., Ltd. (Shanghai, China). Lipofectamine 3,000 was purchased from Shanghai Jin’an Biotechnology Center (Shanghai, China). CCK-8 (BA00208) was purchased from Shanghai Sangon Biotech Co., Ltd. (Shanghai, China). RIPA lysis buffer (C1053) was purchased from Beijing Applygen Technologies Inc. (Beijing, China). siRNA-FOXP4 plasmids (sense strand AUCGUCAGGACUAAACUACUUAAAT and antisense strand UAUCUCGAGGGAUGGUCUAACUGUCAAT) were synthesized by Zhongshi Tontau Biotech Co., Ltd. (Tianjin, China). Rabbit anti-human FOXP4 (16772-1-AP) was procured from Wuhan proteintech (Wuhan, China), and rabbit anti-human proliferating cell nuclear antigen (PCNA) (A00125) was procured from Wuhan Boster Biological Technology (Wuhan, China). Secondary antibody and 3,3′-diaminobenzidine (DAB) were acquired from Beijing ZSGB-BIO (Beijing, China).

Cell culture

Three human colon cancer cell lines (SW480, HCT15, and SW620) and one normal human colon cell line (NCM460) collected from liquid nitrogen were immediately placed into a water wash preheated to 37 °C, which was then shaken until fully melted. The cryogenic vial was sterilized by wiping it with alcohol, and the solution was poured into a microfuge tube containing culture medium of 10 mL. The RPMI 1640 medium containing fetal bovine serum and both antibodies were cultured at 37 °C with 5 % CO2 95 % of cells grew well in the monolayer attached to the surface.

Bioinformatics analysis

The GEPIA (Gene Expression Profiling Interactive Analysis) database (http://gepia.cancer-pku.cn) was used to analyze FOXP4 expression in colon adenocarcinoma (COAD), especially the FOXP4 expression in the tumor tissue of 275 cases and the normal mucosa of 349 cases from the projects of TCGA (The Cancer Genome Atlas) and GTEx (Genotype-Tissue Expression).

Immunohistochemical test and result determination

The paraffin-embedded tissue was assayed for the expression of FOXP4 and PCNA. The best-diluted concentration for development as proven in the pre-experiment (1:250 for FOXP4 and 1:200 for PCNA) was used for the formal experiment. Sections of 4 μm were cut and assayed using the EnVision immunohistochemical technique strictly in compliance with the study protocol [9]. DAB staining was performed with proper quality control [10]. Positive FOXP4 and PCNA expression levels were both located at the nucleus of epithelial cells, and cells stained into light yellow, yellow, or brown were regarded as positive. The experimental results were determined by two attending pathologists after double-blind review of sections. The screening was first performed under low magnification (×100). Then, five fields that were densely populated by epithelial cells and most visually stained were selected under high magnification (×200) for observation and counting with reference to a two-dimensional assessment method [11]. Percentage of stained cells: <5 %, 5–25 %, 26–50 %, 51–75 %, and >75 % were scored 0, 1, 2, 3, and 4 points, respectively; color intensity: no color, light yellow, yellow, and brown were scored 0, 1, 2, and 3 points, respectively. The final score from the product of the two ranged from 0 to 12, and 0–5 points were negative and 6–12 were positive. Then, the rate of positive expression was computed.

siRNA-FOXP4 transfected SW480 and HCT15 cell lines

The SW480 and HCT15 cell lines were seeded into a 6-well plate at the density of 3 × 105 per well after thawing. Serum-free culture medium of 100 μL was used to dilute siRNA-FOXP4 plasmid of 2 μg for transfection, which was mixed with transfection reagent Lipofectamine 3000 of 25 μL that had been diluted with a serum-free culture medium of 100 μL. Then, the solution was left to stand at room temperature for 30 min. The cells were cultured up to about 80 % confluent and washed twice with a serum-free medium. Serum-free medium of 1 mL was added into each well, and the transfection solution was added drip by drip. Thereafter, the solution was blended and incubated at 37 °C for 24 h. Next, the solution was replaced with a complete medium, and incubation was continued for 3 days to ensure transfection of the SW480 and HCT15 cell lines with si-FOXP4. Meanwhile, the empty vector transfection (NC-FOXP4) and no-treatment control (NC) groups were created. Western blot was applied to test the efficiency of transfection with FOXP4.

Western blot test and result determination

The SW480 cell lines in si-FOXP4, NC-FOXP4, and NC groups were assayed with a Western blot to determine the expression of FOXP4 (1:2,500) and PCNA (1:2,000). β-actin was used as an internal control. Total protein was first extracted for concentration measurement. Then, the assay was continued step by step as follows: gel preparation, sample preparation, sample loading and electrophoresis, gel transfer, blocking, primary antibody incubation, wash in TBST, secondary antibody incubation, wash in TBST, and ECL exposure. The ratio of target protein to β-actin was used for analysis. Grayscale analysis was conducted using ImageJ V1.80. The assay was performed three times.

CCK-8 assay

The cell lines SW480 and HCT15 in si-FOXP4, NC-FOXP4, and NC groups were used to prepare cells in evenly distributed suspension. The cell density was computed and adjusted to 3.0 × 104 cells/mL. Cell suspension of 100 μL was seeded into a 96-well plate at the density of 3.0 × 103 cells per well. In each group, 6 replicate wells were used for the seeding. CCK-8 reagent of 10 μL was added at 24, 48, 72, and 96 h separately. After 1 h, the optical density was determined at 450 nm for each well with an MK3 microplate reader (Thermo, USA) under lightproof conditions. The assay was performed three times.

Statistical analysis

The statistical software SAS 6.12 was used for data processing with normally distributed quantitative data expressed as mean ± SE. The homogeneity of variance test and normality test were performed. Comparison involving multiple groups was conducted using ANOVA, while pairwise comparison was conducted with the SNK method. Enumerated data were expressed in percentages, and χ 2 test was used for intergroup comparisons. Linear regression analysis was conducted with p<0.05 regarded as statistically significant.

Results

Bioinformatics analysis results

We analyzed FOXP4 expression trends on 275 tumors and 349 normal mucosal tissues by the GEPIA database (http://gepia.cancer-pku.cn). A statistically significant trend is found for FOXP4, which suggests that FOXP4 expression may be elevated in colon cancer (COAD).

Expression of FOXP4 is significantly higher in CRAC than in normal mucosa

Expression of FOXP4 is significantly higher in CRAC tissue than in normal mucosa (p<0.05, Table 1 and Figure 1).

Table 1:

Comparison of the expression of FOXP4 in CRAC and normal mucosa [n (%)].

Group Cases Forkhead box P4 χ 2 p-Value
Positive Negative
CRAC 64 34 (53.12) 30 (46.88) 21.8878 <0.0001
Normal mucosa 64 9 (14.06) 55 (85.94)
Figure 1: 
Expression of FOXP4 in CRAC and normal mucosa (IHC EnVision method). A–F: Expression of FOXP4 in CRAC. G, H: Expression of FOXP4 in normal mucosa.
Figure 1:

Expression of FOXP4 in CRAC and normal mucosa (IHC EnVision method). A–F: Expression of FOXP4 in CRAC. G, H: Expression of FOXP4 in normal mucosa.

A & B: FOXP4 staining is located in the nuclei of tumor cells in yellow (scored 2 points) with a positive rate of 10 % (scored 1 point), which results in a total of 2 points (B is a magnified version of A); C & D: FOXP4 staining is located in the nuclei of tumor cells in yellow (scored 2 points) with a positive rate of 40 % (scored 2 points), which results in a total of 4 points (D is a magnified version of C); E & F: FOXP4 staining is located in the nuclei of tumor cells in brown (scored 3 points) with a positive rate of 90 % (scored 4 points), which results in a total of 12 points (F is a magnified version of E).

G & H: FOXP4 staining is located in the nuclei of normal mucosal epithelial cells in light yellow (scored 1 point) with a positive rate of 70 % (scored 3 points), which results in a total of 3 points (H is a magnified version of G).

Comparison of FOXP4 expression on clinicopathological characteristics in CRAC

The differences in FOXP4 expression are found to be statistically significant with regard to MTD and DOI (p<0.05). However, the differences are statistically insignificant in terms of gender, age, degree of differentiation, tumor focus, tumor embolism, or LNMets (p>0.05, Table 2).

Table 2:

Comparison of FOXP4 expression on clinicopathologic characteristics in CRAC [n (%)].

Group Cases FOXP4 χ 2 p-Value
Positive Negative
Gender
 Male 38 21 (55.26 %) 17 (44.74 %) 0.1717 0.6786
 Female 26 13 (50.00 %) 13 (50.00 %)
Age
 <60 9 3 (33.33 %) 6 (66.67 %) 1.6473 0.1993
 ≥60 55 31 (56.36 %) 24 (43.64 %)
MTD
 <6 cm 44 19 (43.18 %) 25 (56.82 %) 5.5900 0.0181a
 ≥6 cm 20 15 (75.00 %) 5 (25.00 %)
DOI
 Uninvolving serosa 19 6 (31.58 %) 13 (68.42 %) 5.0375 0.0248a
 Through serosa 45 28 (62.22 %) 17 (37.78 %)
Tumor embolism
 No 52 28 (53.85 %) 24 (46.15 %) 0.0579 0.8099
 Yes 12 6 (50.00 %) 6 (50.00 %)
Degree of differentiation
 Well-moderately 52 30 (57.69 %) 22 (42.31 %) 2.3232 0.1275
 Poorly 12 4 (33.33 %) 8 (66.67 %)
Focus
 Colon 37 20 (54.05 %) 17 (45.95 %) 0.0304 0.8616
 Rectum 27 14 (51.85 %) 13 (48.15 %)
LNMets
 No 32 16 (50.00 %) 16 (50.00 %) 0.2510 0.6164
 Yes 32 18 (56.25 %) 14 (43.75 %)
  1. ap<0.05.

Correlation analysis of FOXP4 and PCNA in CRAC

IHC assay was performed to assess the expression of PCNA in CRAC with a scale ranging from 2 to 12 points. Linear correlation analysis indicates a positive correlation between FOXP4 and PCNA (the formula is Y=0.273X + 4.780, r=0.68, p=0.0169). This positive correlation suggests positive cooperativity between FOXP4 and PCNA expression levels (Figures 2 and 3).

Figure 2: 
Correlation of FOXP4 and PCNA in CRAC.
Figure 2:

Correlation of FOXP4 and PCNA in CRAC.

Figure 3: 
Expression of PCNA in CRAC (IHC EnVision method).
Figure 3:

Expression of PCNA in CRAC (IHC EnVision method).

A & B: PCNA is located in the nuclei of tumor cells in yellow (scored 2 points) with a positive rate of 80 % (scored 4 points), which results in a total of 8 points (B is a magnified version of A).

Expression of FOXP4 is significantly higher in colon cancer cell lines than in normal colon cell line

Western blot shows that the FOXP4 expression is significantly higher in colon cancer cell lines SW480, HCT15, and SW620 than in normal colon cell line NCM460 (p<0.05). The highest expression is found in cell line SW480, followed by that in HCT15 (Table 3 and Figure 4).

Table 3:

Expression of FOXP4 in cell lines of colon cancer and normal colon.

Group n FOXP4 F p-Value
NCM460 3 0.71 ± 0.11
SW480 3 1.30 ± 0.13b 14.31 0.0014
HCT15 3 1.23 ± 0.11b
SW620 3 1.21 ± 0.15a
  1. avs. NCM460, p<0.05;bvs. NCM460, p<0.01 (SNK-based pairwise comparison).

Figure 4: 
Expression of FOXP4 in cell lines of colon cancer and normal colon (Western blot).
Figure 4:

Expression of FOXP4 in cell lines of colon cancer and normal colon (Western blot).

Validation of transfection effect

Given that the FOXP4 expression is higher in SW480 and HCT15 than in SW620, the colon cancer cell lines SW480 and HCT15 were established for the si-FOXP4, NC-FOXP4, and NC groups separately. Western blot was utilized to assess the transfection effect of the FOXP4 protein. The results show that FOXP4 expression is significantly lower in si-FOXP4 group (0.75 ± 0.09) than in NC-FOXP4 group (1.30 ± 0.12) and NC group (1.34 ± 0.10) (F=6.32, p<0.05) in cell line SW480. FOXP4 expression is significantly lower in si-FOXP4 group (0.67 ± 0.08) than in NC-FOXP4 group (1.35 ± 0.10) and NC group (1.31 ± 0.09) (F=8.35, p<0.05) in cell line HCT15. This finding proves that the transfection is successful (Figure 5).

Figure 5: 
Transfection effect validation.
Figure 5:

Transfection effect validation.

Proliferative activity is significantly lower in si-FOXP4 group than in NC-FOXP4 and NC groups by CCK-8 assay

CCK-8 assay was performed to assess the proliferative activity of cell lines SW480 and HCT15 in si-FOXP4, NC-FOXP4, and NC groups. The results show that the proliferative activity of cells in si-FOXP4 group (0.67 ± 0.06) (F=18.78, p=0.0026) is significantly decreased at 72 h compared with those in NC group (1.13 ± 0.13) and NC-FOXP4 group (0.98 ± 0.08) of SW480. This condition persists until 96 h in cell line SW480 (1.67 ± 0.07 vs. 1.57 ± 0.03 vs. 1.23 ± 0.33) (F=109.15, p<0.0001). The proliferative activity of cells in si-FOXP4 group (0.71 ± 0.09) (F=15.74, p=0.0075) is significantly decreased at 72 h compared with those in NC group (1.07 ± 0.12) and NC-FOXP4 group (0.99 ± 0.10) of HCT15. This condition persists until 96 h in cell line HCT15 (1.73 ± 0.11 vs. 1.62 ± 0.07 vs. 1.11 ± 0.20) (F=34.10, p<0.0001). This finding suggests a significant inhibiting effect of siRNA-FOXP4 transfection on cell proliferation activity (Figure 6).

Figure 6: 
Comparison of cell proliferation activity at different points in time in si-FOXP4, NC-FOXP4, and NC Groups.
Figure 6:

Comparison of cell proliferation activity at different points in time in si-FOXP4, NC-FOXP4, and NC Groups.

Expression of PCNA is significantly lower in si-FOXP4 group than in NC-FOXP4 and NC groups

Western blot was used to assess PCNA expression in si-FOXP4, NC-FOXP4, and NC groups. The results show that the expression of PCNA is significantly lower in si-FOXP4 group (0.82 ± 0.11) than in NC-FOXP4 group (1.50 ± 0.10) and NC group in cell line SW480 (1.56 ± 0.13) (F=5.22, p=0.008). The expression of PCNA is significantly lower in si-FOXP4 group (0.80 ± 0.08) than in NC-FOXP4 group (1.65 ± 0.08) and NC group in cell line HCT15 (1.59 ± 0.10) (F=6.52, p=0.001). This result suggests that siRNA-FOXP4 transfection has a significant inhibiting effect on the proliferation marker PCNA (Figure 7).

Figure 7: 
Comparison of PCNA expression in SW480 in si-FOXP4, NC-FOXP4, and NC Groups.
Figure 7:

Comparison of PCNA expression in SW480 in si-FOXP4, NC-FOXP4, and NC Groups.

Discussion

Changes in the FOX gene family are closely associated with physiological disorders and tumor formation in the organic body [12, 13]. In the FOX gene family, the FOXA1 gene in drosophilas and rats is the earliest discovered transcription factor, and other members have been uncovered in succession. The four P subfamily members that have been detected to date are all highly conserved, and they possess a winged-helix DNA-binding domain and a DNA binding-dependent transcriptional repression domain. According to studies, FOXP4 is located on chromosome 6p21.1, and it contains the highly conserved C2H2 zinc finger domain and may therefore function differently from FOXP1, FOXP2, and FOXP3. A study has found that β-catenin expression increases together with FOXP4 and that FOXP4 identifies the promoter region of β-catenin and activates the Wnt pathway and thus facilitates the proliferation of tumor cells [14]. Furthermore, FOXP4 fosters the migration of tumor cells by elevating the expression of molecules related to epithelial–mesenchymal transition (EMT) via its target Snail [15]. Moreover, scholars have observed in hepatocellular carcinoma that FOXP4 activates the transcriptional activity of Slug and promotes tumor progression same as oncogenes. In addition, the formation of CRAC is associated with the regulatory disorders of many genes, including FOX [16, 17].

The results of the present study demonstrate high FOXP4 expression in CRAC tissue and colon cancer cell lines, which suggests that FOXP4 plays a role similar to oncogenes as an important factor in molecular modifications during tumor formation and progression. Furthermore, a positive correlation exists between FOXP4 and PCNA expression levels in CRAC. Cytological experiments also prove that the siRNA-FOXP4 transfection leads to the inhibition of cell proliferation activity and PCNA expression. This finding shows that FOXP4 promotes the proliferation of colon cancer cells, that is, FOXP4 prompts uncontrolled hyperplasia of tumor cells, and enlarges tumor size to the effect of tumor progression. Moreover, FOXP4 plays an immediate role in the regulation of cell proliferation, where multiple genes are involved and altered. As argued by some scholars, FOXP4 overexpression increases the precursors, energy, and enzymes required by DNA synthesis, which accelerates the cell cycle from G0 to G1 [18]. Some other scholars believe that FOXP4 doubles the activity of endogenous SRE-luciferase, which proves that FOXP4 potentially assists proliferation in MAPK-mediated signal transduction [19]. The current study also indicates an association between FOXP4 and depth of invasion, which suggests high FOXP4 expression is a catalyst for the partial invasion and direct spread of CRAC cells to some extent. FOXP4 also regulates intercellular adhesion molecules, decreases homogeneous adhesion, and increases heterogeneous adhesion, which eases tumor cell spread [20, 21] along with the degradation of the basement membrane [22, 23]. Scholars have identified miR-101-3p and miR-423-5p as upstream regulators of FOXP4 [24] modulating tumor growth. Wu et al. [25] found that miR-491-5p inhibits the proliferation and migration of lung adenocarcinoma A549 cells by regulating FOXP4. EMT, which plays a significant part in CRAC progression [26], is thought to be influenced by FOXP4 as well because TGFβ1 is involved in the regulatory pathway mediated by FOXP4 [27]. Apart from the abovementioned results, FOXP4 accelerates tumor progression through NF-κB, as shown by the finding that FOXP4 changes after NF-κB activation with regard to tumor cell proliferation [28], apoptosis, and sensitivity to radiochemotherapy, especially in regulating the activation of multiple genes.

Conclusions

High FOXP4 expression in CRAC and the significant differences in FOXP4 expression in respect of different clinicopathological characteristics have shown that FOXP4 plays a role in promoting tumor cell proliferation. Subsequent studies will focus on the regulatory influence of FOXP4 on tumor cell apoptosis, invasion, and migration. These works will be important for clarifying the biological attributes of FOXP4.


Corresponding authors: Aidong Liu, Department of Pathology, Tianjin Hospital, Tianjin University, Tianjin, 300211, China, E-mail: ; and Jiuling Pang, Department of Anorectal Surgery, Tangshan Workers Hospital, Tangshan, 063000, China, E-mail:

  1. Research funding: None.

  2. Author contributions: The authors confirm contribution to the paper as follows: study conception and design: Aidong Liu, Jiuling Pang; data collection: Guangyi Xiong, Qi Liu; analysis and interpretation of results: Jiuling Pang; draft manuscript preparation: Aidong Liu, Liming Chen; All authors reviewed the results and approved the final version of the manuscript.

  3. Conflicts of interest: The authors declare that they have no conflicts of interest to report regarding the present study.

  4. Ethics approval and informed consent statement: This study was approved by the Medical Ethics Committee of Tianjin Hospital (No. 2022–150) and was conducted in compliance with the Helsinki Declaration.

References

1. Baidoun, F, Elshiwy, K, Elkeraie, Y, Merjaneh, Z, Khoudari, G, Sarmini, MT, et al.. Colorectal cancer epidemiology: recent trends and impact on outcomes. Curr Drug Targets 2021;22:998–1009. https://doi.org/10.2174/13894501mtexcntkby.Suche in Google Scholar

2. Siegel, RL, Miller, KD, Fuchs, HE, Jemal, A. Cancer statistics, 2022. CA Cancer J Clin 2022;72:7–33. https://doi.org/10.3322/caac.21708.Suche in Google Scholar PubMed

3. LaVecchia, S, Sebastián, C. Metabolic pathways regulating colorectal cancer initiation and progression. Semin Cel Dev Biol 2020;98:63–70. https://doi.org/10.1016/j.semcdb.2019.05.018.Suche in Google Scholar PubMed

4. Dekker, E, Tanis, PJ, Vleugels, JLA, Kasi, PM, Wallace, MB. Colorectal cancer. Lancet 2019;394:1467–80. https://doi.org/10.1016/s0140-6736(19)32319-0.Suche in Google Scholar PubMed

5. Chen, L, Ma, X, Dong, H, Qu, B, Yang, T, Xu, M, et al.. Construction and assessment of a joint prediction model and nomogram for colorectal cancer. J Gastrointest Oncol 2022;13:2406–14. https://doi.org/10.21037/jgo-22-917.Suche in Google Scholar PubMed PubMed Central

6. De Smedt, L, Palmans, S, Govaere, O, Moisse, M, Boeckx, B, De Hertogh, G, et al.. Expression of FOXP1 and colorectal cancer prognosis. Lab Med 2015;46:299–311. https://doi.org/10.1309/lm7ihv2nji1phmxc.Suche in Google Scholar

7. Liao, P, Huang, WH, Cao, L, Wang, T, Chen, LM. Low expression of FOXP2 predicts poor survival and targets caspase-1 to inhibit cell pyroptosis in colorectal cancer. J Cancer 2022;13:1181–92. https://doi.org/10.7150/jca.62433.Suche in Google Scholar PubMed PubMed Central

8. Sun, X, Feng, Z, Wang, Y, Qu, Y, Gai, Y. Expression of FOXP3 and its prognostic significance in colorectal cancer. Int J Immunopathol Pharmacol 2017;30:201–6. https://doi.org/10.1177/0394632017710415.Suche in Google Scholar PubMed PubMed Central

9. Lu, Q, Lu, S, Huang, L, Wang, T, Wan, Y, Zhou, CX, et al.. The expression of V-ATPase is associated with drug resistance and pathology of non-small-cell lung cancer. Diagn Pathol 2013;28:145. https://doi.org/10.1186/1746-1596-8-145.Suche in Google Scholar PubMed PubMed Central

10. Taylor, CR, Levenson, RM. Quantification of immunohistochemistry – issues concerning methods, utility and semiquantitative assessment II. Histopathology 2006;49:411–24. https://doi.org/10.1111/j.1365-2559.2006.02513.x.Suche in Google Scholar PubMed

11. Wu, T, Li, Y, Liu, X, Lu, J, He, X, Wang, Q, et al.. Identification of high-risk stage II and stage III colorectal cancer by analysis of MMP-21 expression. J Surg Oncol 2011;104:787–91. https://doi.org/10.1002/jso.21970.Suche in Google Scholar PubMed

12. Xu, P, Zhang, X, Cao, J, Yang, J, Chen, ZT, Wang, WZ, et al.. The novel role of circular RNA ST3GAL6 on blocking gastric cancer malignant behaviours through autophagy regulated by the FOXP2/MET/mTOR axis. Clin Transl Med 2022;12:e707. https://doi.org/10.1002/ctm2.707.Suche in Google Scholar PubMed PubMed Central

13. Ijichi, N, Ikeda, K, Horie-Inoue, K, Inoue, S. FOXP1 and estrogen signaling in breast cancer. Vitam Horm 2013;93:203–12. https://doi.org/10.1016/B978-0-12-416673-8.00006-X.Suche in Google Scholar PubMed

14. Sin, C, Li, H, Crawford, DA. Transcriptional regulation by FOXP1, FOXP2, and FOXP4 dimerization. J Mol Neurosci 2015;55:437–48. https://doi.org/10.1007/s12031-014-0359-7.Suche in Google Scholar PubMed

15. Shi, J, Wang, J, Cheng, H, Liu, S, Hao, X, Lan, LL, et al.. FOXP4 promotes laryngeal squamous cell carcinoma progression through directly targeting LEF-1. Mol Med Rep 2021;24:831. https://doi.org/10.3892/mmr.2021.12471.Suche in Google Scholar PubMed PubMed Central

16. Gascoyne, DM, Banham, AH. The significance of FOXP1 in diffuse large B-cell lymphoma. Leuk Lymphoma 2017;58:1037–51. https://doi.org/10.1080/10428194.2016.1228932.Suche in Google Scholar PubMed

17. Co, M, Anderson, AG, Konopka, G. FOXP transcription factors in vertebrate brain development, function, and disorders. Wiley Interdiscip Rev Dev Biol 2020;9:e375. https://doi.org/10.1002/wdev.375.Suche in Google Scholar PubMed PubMed Central

18. Huang, X, Yuan, W, Huang, W, Bai, Y, Deng, Y, Zhu, CB, et al.. ZNF569, a novel KRAB-containing zinc finger protein, suppresses MAPK signaling pathway. Biochem Biophys Res Commun 2006;346:621–8. https://doi.org/10.1016/j.bbrc.2006.05.109.Suche in Google Scholar PubMed

19. Li, Y, Yang, D, Bai, Y, Mo, X, Huang, W, Yuan, WZ, et al.. ZNF418, a novel human KRAB/C2H2 zinc finger protein, suppresses MAPK signaling pathway. Mol Cel Biochem 2008;310:141–51. https://doi.org/10.1007/s11010-007-9674-4.Suche in Google Scholar PubMed

20. Ma, T, Zhang, J. Upregulation of FOXP4 in breast cancer promotes migration and invasion through facilitating EMT. Cancer Manag Res 2019;11:2783–93. https://doi.org/10.2147/cmar.s191641.Suche in Google Scholar PubMed PubMed Central

21. Yang, T, Li, H, Thakur, A, Chen, T, Xue, J, Li, D, et al.. FOXP4 modulates tumor growth and independently associates with miR-138 in non-small cell lung cancer cells. Tumour Biol 2015;36:8185–91. https://doi.org/10.1007/s13277-015-3498-8.Suche in Google Scholar PubMed

22. Teufel, A, Wong, EA, Mukhopadhyay, M, Malik, N, Westphal, H. FoxP4, a novel forkhead transcription factor. Biochim Biophys Acta 2003;1627:147–52. https://doi.org/10.1016/s0167-4781(03)00074-5.Suche in Google Scholar PubMed

23. Kim, JH, Hwang, J, Jung, JH, Lee, HJ, Lee, DY, Kim, SH. Molecular networks of FOXP family: dual biologic functions, interplay with other molecules and clinical implications in cancer progression. Mol Cancer 2019;18:180. https://doi.org/10.1186/s12943-019-1110-3.Suche in Google Scholar PubMed PubMed Central

24. Xue, P, Huang, S, Han, X, Zhang, C, Yang, L, Xiao, WF, et al.. Exosomal miR-101-3p and miR-423-5p inhibit medulloblastoma tumorigenesis through targeting FOXP4 and EZH2. Cell Death Differ 2022;29:82–95. https://doi.org/10.1038/s41418-021-00838-4.Suche in Google Scholar PubMed PubMed Central

25. Wu, F, Ji, A, Zhang, Z, Li, J, Li, P. miR-491-5p inhibits the proliferation and migration of A549 cells by FOXP4. Exp Ther Med 2021;21:622. https://doi.org/10.3892/etm.2021.10054.Suche in Google Scholar PubMed PubMed Central

26. Perelman, M, Rozenblat, M, Ellenbogen, E, Geller, S, Slutsky, BE, Eytan, O, et al.. FOXP3 predicts response to treatment in mycosis fungoides. Acta Dermatovenerol Croat 2021;29:67–71.Suche in Google Scholar

27. Chen, Y, Li, X, Li, Y, Wu, Y, Huang, G, Wang, X, et al.. Downregulation of microRNA-423-5p suppresses TGF-β1-induced EMT by targeting FOXP4 in airway fibrosis. Mol Med Rep 2022;26:242. https://doi.org/10.3892/mmr.2022.12758.Suche in Google Scholar PubMed PubMed Central

28. Liu, XG, Xu, H, Chen, M, Tan, XY, Chen, XF, Yang, GY, et al.. Identify potential clinical significance of long noncoding RNA forkhead box P4 antisense RNA 1 in patients with early stage pancreatic ductal adenocarcinoma. Cancer Med 2020;9:2062–76. https://doi.org/10.1002/cam4.2818.Suche in Google Scholar PubMed PubMed Central

Received: 2023-01-05
Accepted: 2023-05-23
Published Online: 2023-07-13

© 2023 the author(s), published by De Gruyter, Berlin/Boston

This work is licensed under the Creative Commons Attribution 4.0 International License.

Artikel in diesem Heft

  1. Frontmatter
  2. Review Article
  3. Ethosomes as delivery system for treatment of melanoma: a mini-review
  4. Research Articles
  5. Pre-treatment predictors of cardiac dose exposure in left-sided breast cancer radiotherapy patients after breast conserving surgery
  6. Glycoprofiling of early non-small cell lung cancer using lectin microarray technology
  7. Overexpression of TRIM28 predicts an unfavorable prognosis and promotes the proliferation and migration of hepatocellular carcinoma
  8. MiRNA-219a-1-3p inhibits the malignant progression of gastric cancer and is regulated by DNA methylation
  9. The effect of ubiquitin-specific peptidase 21 on proliferation, migration, and invasion in DU145 cells
  10. Automatic prediction model of overall survival in prostate cancer patients with bone metastasis using deep neural networks
  11. Clinical neutrophil-related gene helps treat bladder urothelial carcinoma
  12. Forkhead Box P4 promotes the proliferation of cells in colorectal adenocarcinoma
  13. Effect of a CrossMab cotargeting CD20 and HLA-DR in non-Hodgkin lymphoma
  14. Case Reports
  15. Endoscopic resection of gastric glomus tumor: a case report and literature review
  16. Long bone metastases of renal cell carcinoma imaging features: case report and literature review
  17. The Warthin-like variant of papillary thyroid carcinomas: a clinicopathologic analysis report of two cases
  18. Corrigendum
  19. Corrigendum to: Experience of patients with metastatic breast cancer in France: results of the 2021 RÉALITÉS survey and comparison with 2015 results
Heruntergeladen am 20.9.2025 von https://www.degruyterbrill.com/document/doi/10.1515/oncologie-2023-0009/html
Button zum nach oben scrollen