Expression profile, regulatory mechanism and prognostic potential of MBNL2 in esophageal squamous cell carcinoma
Original Article

Expression profile, regulatory mechanism and prognostic potential of MBNL2 in esophageal squamous cell carcinoma

Shenglai Zhang1#, Xiaoqin Chu2#, Yan Zhang1#, Jianwei Qiu1 ORCID logo, Liuhong Pan1, Liugen Gu1, Haifeng Kang1, Lin Wang1

1Department of Gastroenterology, The Second Affiliated Hospital of Nantong University, Nantong, China; 2Department of Gastroenterology, Hai’an People’s Hospital, Hai’an, China

Contributions: (I) Conception and design: X Chu, J Qiu; (II) Administrative support: Y Zhang, S Zhang; (III) Provision of study materials or patients: Y Zhang, S Zhang, L Pan, X Chu; (IV) Collection and assembly of data: S Zhang, X Chu, Y Zhang; (V) Data analysis and interpretation: Y Zhang, L Wang, H Kang, L Gu, L Pan; (VI) Manuscript writing: All authors; (VII) Final approval of manuscript: All authors.

#These authors contributed equally to this work.

Correspondence to: Jianwei Qiu, MM. Department of Gastroenterology, The Second Affiliated Hospital of Nantong University, No. 666 Shengli Road, Nantong 226001, China. Email: ppfoxs@126.com.

Background: It remains to refresh the understanding about the pathogenic mechanism of esophageal squamous cell carcinoma (ESCC). This study aimed to profile the expression of muscleblind like protein 2 (MBNL2), as well as its associations with ESCC behaviors.

Methods: Bioinformatic tools were used to mine The Cancer Genome Atlas (TCGA) database for the expression data of MBNL2 in ESCC. The expression of MBNL2 in tissue microarray of 179 ESCC patients was determined by immunohistochemistry (IHC), and the relationship of MBNL2 with patients’ clinical and pathological characteristics was analyzed. The expression of MBNL2 was tested in fresh ESCC and adjacent normal tissues in vitro. Experiments about cellular invasion, migration and proliferation were performed to detect the impacts of silencing MBNL2 on the biological behaviors of ESCC, and the positive results were checked in vivo.

Results: In the TCGA database, the expression of MBNL2 in ESCC was higher than that in adjacent tissues (P<0.05). The protein level of MBNL2 in the tissue microarray of 179 ESCC patients was positively correlated with tumor stage and lymph node metastasis, and negatively correlated with the prognosis of patients. The expression of MBNL2 was significantly upregulated in five fresh ESCC tissues, compared to that in adjacent tissues. In functional experiments, knocking down MBNL2 significantly inhibited the migration and invasion of ESCC cell lines KYSE150 and Eca109, but had no significant effect on their proliferation. Finally, silencing MBNL2 inhibited the epithelial-mesenchymal transition (EMT) of ESCC cells, as evidenced by the upregulation of E-cadherin, the downregulation of Snail and Slug.

Conclusions: MBNL2 is highly expressed in ESCC and associated with its Tumor Node Metastasis (TNM) stage, lymph node metastasis and prognosis. MBNL2 may promote ESCC progression through facilitating EMT.

Keywords: Muscleblind like protein 2 (MBNL2); esophageal squamous cell carcinoma (ESCC); epithelial-mesenchymal transition (EMT); prognosis


Submitted Oct 11, 2024. Accepted for publication Jan 09, 2025. Published online Feb 26, 2025.

doi: 10.21037/tcr-24-1933


Highlight box

Key findings

• Muscleblind like protein 2 (MBNL2) may promote esophageal squamous cell carcinoma (ESCC) progression related to epithelial-mesenchymal transition (EMT).

What is known and what is new?

• MBNL2 contributes to the development of several types of cancer.

• This study confirmed that MBNL2 in ESCC is associated with its Tumor Node Metastasis (TNM) stage, lymph node metastasis and prognosis, and MBNL2 may be a potential therapeutic target for ESCC.

What is the implication, and what should change now?

• This study shows that MBNL2 is significantly involved in the metastasis and prognosis of esophageal cancer. Thus, MBNL2 may be a promising target for the treatment of ESCC.


Introduction

According to the 2020 Global Cancer Report (1), esophageal squamous cell carcinoma (ESCC) ranks seventh in the prevalences and sixth in the mortalities of all cancers globally. Besides, the prevalence of ESCC is rising gradually, especially among the young. ESCC is not easy to be found in the early stage, and once diagnosed, it has often invaded the trachea and great vessels in the middle to late stages. Surgery, chemotherapy and radiotherapy can retard the progression of ESCC, but the 5-year survival rate is still less than 15% (2,3). It is urgent to dig deeper into the pathogenesis of ESCC and quest for potential molecular therapeutic targets.

Muscleblind like protein (MBNL), an RNA binding protein, can regulate tissue-specific alternative splicing, messenger RNA (mRNA) stability and trafficking, alternative polyadenylation, as well as microRNA (miRNA) biogenesis (4-8). MBNL is encoded by three genes: MBNL1, MBNL2, and MBNL3 (9,10). MBNL1 and MBNL2 are ubiquitously expressed, whereas MBNL3 is predominantly in the placenta (10). This gene encodes a CCCH-type (C3H-type) zinc finger protein that modulates alternative splicing of pre-mRNAs (11). C3H-type zinc finger is a highly conserved domain that uses zinc to combine three cysteine residues (C) and one histidine residue (H) to form a stable finger structure, which has maintained high stability throughout evolution. The MBNL family plays important roles in the differentiation of embryonic stem (ES) cells, as well as in neuronal differentiation. MBNL2, a negative regulator of alternative splicing, is differentially expressed between ES cells and other cell types (12). MBNL2 may also regulate the splicing pattern of cancer cells to promote tumorigenesis (13,14). As the deepening of cancer science research, its role in cancer is bidirectionally regulated. MBNL2 is upregulated in renal cell carcinoma (RCC), and facilitates M2 polarization to inhibit the MBNL2/Bcl-2/beckin 2-mediated autophagy and secretion of C-C motif chemokine 1, thus promoting the growth and metastasis of RCC cells (15). In hepatocellular carcinoma (HCC), high expression of MBNL2 is associated with a smaller tumor volume and a lower tumor stage, and MBNL2-positive liver cancer patients have a higher 5-year overall survival rate. Overexpression of MBNL2 inhibits the growth and invasion HCC cells and HCC in non-obese diabetes/server combined immune-deficiency (NOD/SCID) mice (16,17). We have identified that the expression of MBNL2 is abnormally high in ESCC tissues through The Cancer Genome Atlas (TCGA) database analysis. Our preliminary immunohistochemistry has confirmed that the expression of MBNL2 in ESCC tissue exceeds that in adjacent cancer tissue, which is consistent with the database analysis results.

Epithelial-mesenchymal transition (EMT) is an evolutionarily conservative developmental process, which is committed to cancer invasion and metastasis. Expressed in epithelial cells, E-cadherin can form tight junctional barriers between cells to maintain epithelial cell polarity, stability and integrity. When normal epithelial mucosal cells are damaged, the expression of E-cadherin decreases or even disappears. Snail protein is the earliest and strongest transcription inhibitor found in the EMT pathway (18). Snail can downregulate E-cadherin transcriptional activity, inhibit its expression, and promote distant metastasis of tumors by binding to E-box elements in E-cadherin promoter region (19). And it could break down the junctions between epithelial cells, thus depriving their polarity, enhancing their mobility, and then allowing tumor cells to penetrate mucosal barrier and acquire abilities to invade and metastasize. Slug, a member of the zinc finger protein family, has a structure similar to Snail, and contains 4–6 zinc fingers that form up a highly conserved carboxyl terminal and a variable amino terminal; Slug has been proved as an important regulatory factor in the EMT process (20). By binding to the E-box structure of the target gene, Slug inhibits the expression of E-cadherin, thereby promoting the formation of EMT. In a study of pancreatic cancer (21), inhibiting the expression of Slug reduces the ability of pancreatic cancer cells to spread. In this study, we investigated the expression of E-cadherin, Snail, and Slug and explored the possible mechanism of MBNL2 on the occurrence of EMT in ESCC.

Mounting evidence has shown the close relationship between MBNL2 and ESCC occurrence (22). However, the regulatory mechanism of MBNL2 in ESCC remains not fully understood, and its prognostic value has not been evaluated, both of which might are investigated in the present study. We present this article in accordance with the MDAR reporting checklist (available at https://tcr.amegroups.com/article/view/10.21037/tcr-24-1933/rc).


Methods

Ethics statement

The study was conducted in accordance with the Declaration of Helsinki (as revised in 2013). The study was approved by Ethics Committee of The Second Affiliated Hospital of Nantong University (No. 2021KT136) and individual consent for this retrospective analysis was waived.

Collection and storage of tissue samples

RNA-sequencing (RNA-seq) data of the expression profiles in 94 ESCC samples were downloaded from the TCGA database (http://www.cancer.gov/about-nci/organization/ccg/research/structual-genomics/tcga). RNA-seq data of the expression profiles in 516 normal esophageal samples were downloaded from the Genotype-Tissue Expression database (GTEX, USCS Xena, http://xena.ucsc.edu/) at the cancer genomics analysis platform. All data were standardized.

A total of 200 paraffin sections of ESCC tissues (44 female, 135 male; age from) and 50 of adjacent tissues (14 female, 36 male; age from 50 to 82 years) were collected from The Second Affiliated Hospital of Nantong University between October 2010 and May 2017. Five pairs of fresh ESCC and adjacent (≥5 cm outer of tumor margin) tissue samples were collected from The Second Affiliated Hospital of Nantong University in 2022. The samples were immediately placed in dry Eppendorf tubes (EP tubes) and stored at −80 ℃. The samples of all patients had been diagnosed by pathologists, and no radiotherapy or chemotherapy had been conducted at the time of sampling. Excluded were those with (I) incomplete clinical data or pathological paraffin specimens; (II) anticancer treatment before surgery for patients; (III) other malignant tumors.

Cell culture and lentivirus infection

KYSE150 and Eca109 ESCC cell lines were purchased from Shanghai Yuchi Biotechnology Co., Ltd., and cultured in RPMI 1640 medium (Invitrogen, Carlasbad, CA, USA) containing 10% fetal bovine serum (FBS) (Invitrogen, Carlasbad, CA, USA) and 1% penicillin (Invitrogen, Carlasbad, CA, USA) and streptomycin (New Cell & Molecular Biotech Co., Ltd., Suzhou, China) at 37 ℃ with 5% CO2. MBNL2 gene was silenced by lentiviral short hairpin RNA (shRNA) (Shanghai Genechem Co., Ltd., Shanghai, China) infection to construct a stable transgenic strain. The ESCC cells were infected by the lentivirus in the complete medium for 16 h at 37 ℃, followed by incubation in fresh complete medium for additional 48 to 72 h. The transfection efficiency was detected by quantitative real-time polymerase chain reaction (qRT-PCR) and Western blotting (WB).

Cell counting kit 8 (CCK-8) assay

The cells were washed with phosphate buffer saline (PBS), resuspended in RPMI 1640, seeded into 96-well plates at a concentration of 2,000 cells/well, and incubated at 37 ℃ for 24 h. Next, CCK-8 reagent (DOJINDO, Kyushu Island, Japan) was added to the wells according to the manufacturer’s instructions. Enzyme-linked immunosorbent assay (Biotek, Beijing, China) was performed to detect the absorbance value at 450 nm. The above steps were repeated at 48 and 72 h afterward.

Wound healing migration assay

The ESCC cells (5×106/mL) in exponential growth were isolated and seeded into 127 6-well tissue culture plates. When a confluent monolayer was formed, the monolayer was scratched vertically with the tip of a 100 µL sterile pipette. Then, the medium was gently washed three times with PBS, and the medium replaced with fresh RPMI-1640 medium. At 0, 24 and 48 h, a microscope (20×, Olympus, Tokyo, Japan) equipped with a digital camera (Nikon, Tokyo, Japan) was placed at three randomly selected positions to photograph the cells in migration. The images were analyzed by ImageJ (). The wound width was measured to represent cell migration.

Transwell invasion assay

The invasion model was established by using 24-well Matrigel Invasion Chambers (pore size, 8 µm; Corning, Tewksbury, MA, USA). Every 2×105 ESCC cells were added into 100 µL of serum-free medium, and seeded onto the upper chambers. The lower chambers were filled with complete culture medium. After 24 h, the cells on the surfaces of the upper chambers were scraped off. Then, the cells having invaded were washed with PBS once, fixed with 4% paraformaldehyde for 20 to 30 min, washed with PBS twice, and stained with crystal violet staining solution for 15 min at room temperature. Cell images were captured under a microscope. Five visual fields were randomly selected from each group and analyzed by ImageJ.

WB analysis

The protein levels of MBNL2, E-cadherin, Snail and Slug in ESCC cells were detected by WB. According to the instructions of the Bicinchoninic Acid Assay (BCA) kit (Beyotime Biotechnology, Shanghai, China), the total protein was collected from cells. Rat-anti MBNL2 (Santa Cruz, California, USA, 1:500), E-cadherin (1:1,000, Cell Signaling Technology, Danvers, MA, USA), Snail (1:1,000, Wanlei Biotechnology Company, Shenyang, China), Slug (1:1,000, Wanlei Biotechnology Company, Shenyang, China) and their corresponding secondary antibodies were applied. Gray values were analyzed by ImageJ.

qRT‑PCR assay

Total RNA was extracted from the tissues using TRIzol (Invitrogen, Grand Island, NY, USA) according to the standard TRIzol method. For each sample, first-strand complementary DNA (cDNA) was synthesized from every 0.5 µg of RNA by using PrimeScriptTM RT Master MIX (Takara Biotechnology, Japan). qRT-PCR was performed on an ABI 7500 RT-PCR () by using 2× SYBR Green qPCR Mix (Beyotime Biotechnology, Shanghai, China). Table 1 shows the primers for FABP4 and the internal control GAPDH. Gene expression was calculated using the 2−ΔΔCt method.

Table 1

Primers for quantitative real-time polymerase chain reaction of MBNL2 and β-actin

Gene Forward primer sequence (5'–3') Reverse primer sequence (5'–3')
β-actin CCTGGCACCCAGCACAAT GGGCCGGACTCGTCATAC
MBNL2 CCTTTACCAAAGAGACAAGCAC ATTATCTGTTGGAATGAACGCG

MBNL2, muscleblind like protein 2.

Immunofluorescence staining

Staining was performed according to instructions of the Substance P (SP) kit. The primary antibody was MBNL2 (1:100) (Santa Cruz Biotechnology, Santa Cruz, CA, USA). The slides were deparaffinized and rehydrated using routine methods, and then boiled in ethylene diamine tetraacetic acid (EDTA) retrieval solution to retrieve antigenicity. The non-specific blocking solution was incubated at room temperature for 15 min and then washed. The slides were incubated with primary antibody (1:100) overnight at 4 ℃, incubated with goat serum for 40 min at room temperature, and then with secondary antibody at room temperature for 40 min. Then, horseradish peroxidase (HRP)-labeled streptavidin was added and the slides were incubated for 10 min at room temperature. Diaminobenzidine (DAB) chromogenic reagent was introduced. The expression of MBNL2 was calculated using the proportion score and intensity score by two senior pathologists. The intensity was scored as follows (A): 0, negative; 1, weak expression; 2, moderate expression; and 3, strong expression. The proportion of positive cells was scored as follows (B): 0, 0% positive cells; 1, 1–25% positive cells; 2, 26–50% positive cells; and 3, 51–100% positive cells. The total score was calculated as A × B. A total score less than 3 was regarded as a low level of expression, otherwise as a high level of expression.

Statistical analysis

All experiments were repeated for three times or more, and data were expressed as mean ± standard deviation and subjected to the SPSS software (IBM SPSS statistics, Version 23.0) and R software 4.0.5. The Mann-Whitney t-test was conducted to determine the statistical significance of continuous data. The Chi-squared test, contingency table or Fisher exact test was employed to determine the statistical significance of categorical data. The Kaplan-Meier survival curves are used to plot survival curves. The R.utils package, rjson package and XML package were used to read the original data downloaded from the TCGA database. The Survminer package was used to calculate the best intercept value for grouping. The data were analyzed by GraphPad Prism 8.0. The image was analyzed by ImageJ. A P value <0.05 was considered statistically significant in all analyses.


Results

Positive correlation of MBNL2 expression with clinical ESCC characteristics

The expression of MBNL2 protein in ESCC tissues was significantly higher than that in the normal adjacent tissues (Figure 1A,1B). In normal adjacent tissue samples, the high expression rate of MBNL2 protein was 64.25% (115/179) and the low expression rate was 35.75% (64/179). In ESCC tissue samples, the high expression rate of MBNL2 protein was 28% (14/50) and the low expression rate was 72% (36/50) (Table 2). The expression of MBNL2 in ESCC was significantly higher than that in normal adjacent tissues (χ2=20.873, P<0.001). In ESCC tissue samples, the high expression rate of MBNL2 protein in III + IV Tumor Node Metastasis (TNM) stages was significantly higher than that in I + II stages (χ2=18.165, P<0.001). Similarly, the high expression rate of MBNL2 protein in the tissues with lymph node metastasis was higher than that in the tissues without (χ2=14.866, P<0.001). The high expression rate of MBNL2 protein was correlated with lymph node metastasis and TNM stage, but not correlated with age (P=0.59), gender (P>0.99), smoking history (P=0.41), drinking history (P=0.13), tumor location (P=0.46) and tumor size (P=0.53), distant metastasis (P=0.16), differentiation (P=0.07), nerve invasion (P=0.33), and vascular tumor thrombus (P=0.43) (Table 3).

Figure 1 Immunohistochemical analyses of MBNL2 expression. (A) Positive expression in esophageal squamous cell carcinoma; (B) positive expression in normal adjacent tissues. Scale bar =100 µm. Magnification ×200, ×400. ESCC, esophageal squamous cell carcinoma; MBNL2, muscleblind like protein 2.

Table 2

Expression of MBNL2 protein in ESCC and normal adjacent tissues

Variables N MBNL2, n (%) χ2 P value
Low expression High expression
ESCC 50 36 (72.00) 14 (28.00) 20.873 <0.001
Normal adjacent tissues 179 64 (35.75) 115 (64.25)

ESCC, esophageal squamous cell carcinoma; MBNL2, muscleblind like protein 2.

Table 3

Relationship between MBNL2 protein and pathology of ESCC

Variable N MBNL2, n (%) χ2 P value
Low expression High expression
Gender 0.009 >0.99
   Female 44 16 (36.4) 28 (63.6)
   Male 135 48 (35.6) 87 (64.4)
Age (years) 0.352 0.59
   <60 43 17 (39.5) 26 (60.5)
   ≥60 136 47 (34.6) 89 (65.4)
Smoking history 0.832 0.41
   Yes 58 18 (31.0) 40 (69.0)
   No 121 46 (38.0) 75 (62.0)
Drinking history 2.502 0.13
   Yes 37 9 (24.3) 28 (75.7)
   No 141 54 (38.3) 87 (61.7)
Location 0.740 0.46
   Upper 8 4 (50.0) 4 (50.0)
   Middle and lower 171 60 (35.1) 111 (64.9)
Tumor size (cm) 0.408 0.53
   ≤4 98 33 (33.7) 65 (66.3)
   >4 81 31 (38.3) 50 (61.7)
Lymph node metastasis 14.866 <0.001
   No 97 47 (48.5) 50 (51.5)
   Yes 82 17 (20.7) 65 (79.3)
Distant metastasis Fisher’s exact test 0.16
   No 170 63 (37.1) 107 (62.9)
   Yes 9 1 (11.1) 8 (88.9)
TNM stage 18.165 <0.001
   I + II 105 51 (48.6) 54 (51.4)
   III + IV 74 13 (17.6) 61 (82.4)
Differentiation 3.338 0.07
   I 36 16 (44.4) 20 (55.6)
   II 106 39 (36.8) 67 (63.2)
   III 37 9 (24.3) 28 (75.7)
Nerve invasion 1.348 0.33
   No 143 54 (37.8) 89 (62.2)
   Yes 36 10 (27.8) 26 (72.2)
Vascular tumor thrombus 0.735 0.43
   No 145 54 (37.2) 91 (62.8)
   Yes 34 10 (29.4) 24 (70.6)

ESCC, esophageal squamous cell carcinoma; MBNL2, muscleblind like protein 2; TNM, Tumor Node Metastasis.

Negative correlation of MBNL2 expression with ESCC prognosis

Kaplan-Meier survival curve showed that the survival rate was lower in patients with high MBNL2 expression than in those with low MBNL2 expression (P=0.006). This indicates a significant correlation between the expression of MBNL2 and the prognosis of ESCC (Figure 2).

Figure 2 Relationship between MBNL2 expression and the overall survival rate of ESCC patients. ESCC, esophageal squamous cell carcinoma; MBNL2, muscleblind like protein 2.

High expression of MBNL2 in ESCC

The RNA-seq data about the expression profiles of 94 ESCC samples from the TCGA database and 516 normal esophageal samples from GTEx database were analyzed by bioinformatic tools. The results showed that MBNL2 was significantly overexpressed in ESCC, with a level higher than that in normal esophageal tissues (P<0.001) (Figure 3).

Figure 3 Expression of MBNL2 RNA-seq expression in ESCC tissue samples from TCGA database. ****, P<0.0001. ESCC, esophageal squamous cell carcinoma; MBNL2, muscleblind like protein 2; RNA-seq, RNA-sequencing; TCGA, The Cancer Genome Atlas.

The expression of MBNL2 in five pairs of frozen ESCC tissues and their adjacent tissues was detected by qRT-PCR and WB. The results showed that MBNL2 was highly expressed at both mRNA and protein levels in the former (Figure 4).

Figure 4 Higher expression of MBNL2 in five pairs of fresh ESCC than in adjacent normal tissues. (A) The mRNA levels of MBNL2 in ESCC and adjacent normal tissues were determined by qRT-PCR; (B) the protein levels of MBNL2 in ESCC and adjacent normal tissues were detected by Western blot; (C) ImageJ software was used to analyze the statistical results of gray scales of B image. *, P<0.05; **, P<0.01; ****, P<0.0001. T1, T2, T3 means esophageal squamous cell carcinoma tissues. N1, N2, N3 means adjacent normal tissues. ESCC, esophageal squamous cell carcinoma; MBNL2, muscleblind like protein 2; mRNA, messenger RNA; qRT-PCR, quantitative real-time polymerase chain reaction.

The mRNA levels of MBNL2 in human esophageal cancer cells (Eca109) and TE-1 cell lines were significantly higher than those in normal esophageal epithelial cells Het-1A (P<0.001). The protein levels of MBNL2 in KYSE150 and Eca109 cell lines were higher than those in Het-1A cell line (Figure 5).

Figure 5 Expression of MBNL2 in normal esophageal epithelial cells and ESCC cell lines. (A) The mRNA levels of MBNL2 in ESCC cell lines were determined by qRT-PCR; (B) the protein levels of MBNL2 in ESCC cell lines were detected by Western blot; (C) ImageJ software was used to analyze the statistical results of gray scales of image in (B). ns, P>0.05; *, P<0.05; **, P<0.01; ***, P<0.001. ESCC, esophageal squamous cell carcinoma; MBNL2, muscleblind like protein 2; mRNA, messenger RNA; qRT-PCR, quantitative real-time polymerase chain reaction.

Silencing MBNL2 inhibited the invasion and migration but did not change the proliferation of ESCC cells

We transfected KYSE150 and Eca109 cells with shRNA lentiviral particles, and found that ShMBNL2#1, ShMBNL2#2, and ShMBNL2#3 silenced MBNL2 expression in KYSE150 and Eca109 cell lines by qRT-PCR (Figure 6A,6B). The silencing efficiency of MBNL2 in KYSE150 and Eca109 cell lines was verified by WB (Figure 6C,6D). ShMBNL2#2 and ShMBNL2#3 were selected to construct stable transformants on KYSE150 cell line (Figure 6E), and ShMBNL2#1and ShMBNL2#3 on Eca109 cell line (Figure 6F). The stable transformant was used in the following experiments.

Figure 6 Expression of MBNL2 at mRNA and protein levels. (A) MBNL2 silencing efficiency in KYSE150 cell line was determined by qRT-PCR; (B) MBNL2 silencing efficiency in Eca109 cell line was determined by qRT-PCR; (C) expression of MBNL2 protein in KYSE150 cell line after silencing MBNL2 gene was determined by WB; (D) expression of MBNL2 protein in Eca109 cell line after silencing the MBNL2 gene was determined by WB; (E) ImageJ software was used to analyze the statistical results of gray scales of image in (C); (F) ImageJ software was used to analyze the statistical results of gray scales of image in (D). *, P<0.05; **, P<0.01; ***, P<0.001; ****, P<0.0001. ESCC, esophageal squamous cell carcinoma; MBNL2, muscleblind like protein 2; mRNA, messenger RNA; NC, negative control; sh, short hairpin RNA; qRT-PCR, quantitative real-time polymerase chain reaction; WB, Western blotting.

The wound healing assay was conducted to measure the migration of ESCC cells. In KYSE150 and Eca109 cells, the wound width at 24 h after scratching in control group was 71% and 78% of those in shMBNL2-1 and shMBNL2-2 groups, respectively (Figure 7A, P<0.05), suggesting that silencing MBNL2 inhibited the migration of ESCC cells. After MBNL2 silencing, the numbers of transmembrane ESCC cells in shMBNL2-1 and shMBNL2-2 groups were significantly lower than that in the control group (t=6.901, P=0.002; t=7.419, P=0.002) (Figure 7B,7C), implying that silencing MBNL2 suppressed the invasion of ESCC cells. After MBNL2 silencing, no significant difference in proliferation were observed in shMBNL2-1 and shMBNL2-2 groups, compared to the control group (Figure 7D, P>0.05), suggesting that silencing MBNL2 had no significant effect on the proliferation of ESCC cells.

Figure 7 Silencing MBNL2 inhibited the invasion and migration, but did not change the proliferation of ESCC cells. (A) The migration of ESCC cells with MBNL2 silencing was determined by the wound healing assay (scale bar = µm); (B) the effects of MBNL2 silencing on the migration and invasion of KYSE150 cell were determined by Transwell assay (violet crystal staining; scale bar =100 µm); (C) the effects of MBNL2 silencing on the migration and invasion of Eca109 cell were determined by Transwell assay (violet crystal staining; scale bar =100 µm); (D) the proliferation of ESCC cells was determined by EdU assay. *, P<0.05; **, P<0.01; ***, P<0.001. EdU, 5-ethynyl-2'-deoxyuridine; ESCC, esophageal squamous cell carcinoma; MBNL2, muscleblind like protein 2; NC, negative control; sh, short hairpin RNA.

MBNL2 enhanced EMT in ESCC cells

EMT has been confirmed as a key mechanism underlying tumor metastasis (23). To explore the relationship between MBNL2 and EMT, the expressions of EMT-related protein markers, such as Snail, E-cadherin, and Slug, were determined by WB. After silencing MBNL2, the gray value of E-cadherin in KYSE150 cells was about 1.5 times, and those of Snail and Slug were about 76% and 50% of the values in control cells (Figure 8A, P<0.05). After silencing MBNL2, the gray value of E-cadherin in Eca109 cells was about 1.5 times, and those of Snail and Slug were about 68% and 80% of the values in control cells (Figure 8B, P<0.05). Overall, these results indicated that MBNL2 enhanced EMT to promote the migration and invasion of ESCC cells.

Figure 8 MBNL2 enhanced epithelial-mesenchymal transition in ESCC cells. Western blot was performed to detect the protein levels of E-cadherin, Snail and Slug, and the band densitometry analysis was carried out. All the samples were prepared in triplicate, and all experiments were repeated for at least three times. ns, P>0.05; *, P<0.05; **, P<0.01; ***, P<0.001. EdU, 5-ethynyl-2'-deoxyuridine; ESCC, esophageal squamous cell carcinoma; MBNL2, muscleblind like protein 2; NC, negative control; sh, short hairpin RNA.

Discussion

In the present study, we verified the positive correlation of MBNL2 protein expression with ESCC behaviors, its negative correlation with ESCC prognosis; besides, MBNL2 promoted the invasion and migration of ESCC cells through enhancing EMT. These findings may have added valuable information on ESCC pathogenesis. MBNL2 undertakes a carcinogenic role in RCC (15). MBNL2 acts as a suppressor during the occurrence of liver cancer (16). Here, we reported the close implication of MBNL2 in ESCC, implying that MBNL2 may be an active player in various cancers.

Our previous analysis of TCGA database has shown that MBNL2 is significantly overexpressed in ESCC. Therefore, we detected the expression of MBNL2 in 179 ESCC patients by immunohistochemistry. The results showed that the high expression rate of MBNL2 protein was 64.25% (115/179) in ESCC tissue samples, and 28.00% (14/50) in adjacent tissue samples. We detected the mRNA and protein levels of MBNL2 through qRT-PCR and WB. The results showed that compared with those in normal adjacent tissues, the mRNA and protein levels of MBNL2 in ESCC tissues were significantly increased (P<0.05). All these are consistent with the database analysis results. Lee et al. (16) have found that MBNL2 promotes the growth and metastasis of RCC. In our study, MBNL2 overexpression in ESCC tissues was significantly correlated with TNM stage and lymph node metastasis (P<0.05). However, there was no significant correlation between MBNL2 expression and some other clinical pathological features, such as age, gender, smoking history, and alcohol consumption history, suggesting that MBNL2 might play a specific role in ESCC infiltration and metastasis.

Zhang et al. (17) have reported that a high MBNL2 expression is associated with a poor prognosis of HCC. Our study showed that ESCC patients with a high MBNL2 expression had a significant decrease in postoperative 5-year survival. We speculate that MBNL2 may be a factor associated with the poor prognosis of ESCC, and an independent prognostic biomarker.

Our study investigated the effect of silencing MBNL2 on the biological behaviors of ESCC cells in vitro. Wound healing and Transwell assays showed that silencing MBNL2 inhibited the migration and invasion of KYSE150 and Eca109 cells (P<0.05). The results of the CCK-8 assay showed that silencing MBNL2 had no significant effect on the proliferation of ESCC cells (P>0.05). Consistent with the results in ESCC tissues, the high expression rate of MBNL2 among ESCC patients in III + IV TNM stages was significantly higher than that in stages I + II. To further verify its correlation with ESCC metastasis, further in vivo experiments are needed.

We further conducted mechanistic studies involving MBNL2 and EMT. We detected the expression of EMT markers E-cadherin, Snail and Slug after silencing MBNL2 through WB.

We found that after silencing MBNL2, the expression of E-cadherin protein significantly increased, while the expression of Snail and Slug proteins decreased, suggesting that MBNL2 may, at least partially, act on EMT to promote the invasion and metastasis of ESCC. The study has shown that MBNL2 potently regulates the migration and invasion of breast and lung cancer cells by means of PI3K/AKT-mediated EMT (24). MBNL2 also exerts a tumor-suppressing function through the miR-182-MBNL2-akt-emt signaling pathway (22).

In summary, MBNL2 is significantly overexpressed in ESCC tissue, and its overexpression is significantly correlated with a higher TNM stage, lymph node metastasis, as well as a poor prognosis. Silencing MBNL2 can inhibit the migration and invasion of ESCC cells, but has no significant effect on proliferation.


Conclusions

The present finding is about the high expression of MBNL2 in ESCC and the correlation between MBNL2 and the clinical pathology and metastasis of ESCC. We hypothesize that MBNL2 may manipulate tumor invasion and metastasis of ESCC, at least in part, via the EMT pathway. However, there are limitations in this study. The sample size of this study is relatively small, which can easily cause statistical errors. In the future, experimental and clinical studies with larger sample size should be performed to verify our clinical results and the potential of MBNL2 on the treatment of ESCC.


Acknowledgments

None.


Footnote

Reporting Checklist: The authors have completed the MDAR reporting checklist. Available at https://tcr.amegroups.com/article/view/10.21037/tcr-24-1933/rc

Data Sharing Statement: Available at https://tcr.amegroups.com/article/view/10.21037/tcr-24-1933/dss

Peer Review File: Available at https://tcr.amegroups.com/article/view/10.21037/tcr-24-1933/prf

Funding: This work was supported by the Nantong Science and Technology Plan Guiding Project (No. MSZ21066 to L.G.), and the Special Project of Clinical Medicine of Nantong University (No. 2023LY002), China.

Conflicts of Interest: All authors have completed the ICMJE uniform disclosure form (available at https://tcr.amegroups.com/article/view/10.21037/tcr-24-1933/coif). The authors have no conflicts of interest to declare.

Ethical Statement: The authors are accountable for all aspects of the work in ensuring that questions related to the accuracy or integrity of any part of the work are appropriately investigated and resolved. The study was conducted in accordance with the Declaration of Helsinki (as revised in 2013). The study was approved by Ethics Committee of The Second Affiliated Hospital of Nantong University (No. 2021KT136) and individual consent for this retrospective analysis was waived.

Open Access Statement: This is an Open Access article distributed in accordance with the Creative Commons Attribution-NonCommercial-NoDerivs 4.0 International License (CC BY-NC-ND 4.0), which permits the non-commercial replication and distribution of the article with the strict proviso that no changes or edits are made and the original work is properly cited (including links to both the formal publication through the relevant DOI and the license). See: https://creativecommons.org/licenses/by-nc-nd/4.0/.


References

  1. Sung H, Ferlay J, Siegel RL, et al. Global Cancer Statistics 2020: GLOBOCAN Estimates of Incidence and Mortality Worldwide for 36 Cancers in 185 Countries. CA Cancer J Clin 2021;71:209-49. [Crossref] [PubMed]
  2. Moral Moral GI, Viana Miguel M, Vidal Doce Ó, et al. Postoperative complications and survival rate of esophageal cancer: Two-period analysis. Cir Esp (Engl Ed) 2018;96:473-81. [Crossref] [PubMed]
  3. Shao N, Han Y, Song L, et al. Clinical significance of hypoxia-inducible factor 1α, and its correlation with p53 and vascular endothelial growth factor expression in resectable esophageal squamous cell carcinoma. J Cancer Res Ther 2020;16:269-75. [Crossref] [PubMed]
  4. Pascual M, Vicente M, Monferrer L, et al. The Muscleblind family of proteins: an emerging class of regulators of developmentally programmed alternative splicing. Differentiation 2006;74:65-80. [Crossref] [PubMed]
  5. Rau F, Freyermuth F, Fugier C, et al. Misregulation of miR-1 processing is associated with heart defects in myotonic dystrophy. Nat Struct Mol Biol 2011;18:840-5. [Crossref] [PubMed]
  6. Sznajder ŁJ, Michalak M, Taylor K, et al. Mechanistic determinants of MBNL activity. Nucleic Acids Res 2016;44:10326-42. [Crossref] [PubMed]
  7. Wang ET, Cody NA, Jog S, et al. Transcriptome-wide regulation of pre-mRNA splicing and mRNA localization by muscleblind proteins. Cell 2012;150:710-24. [Crossref] [PubMed]
  8. Wang ET, Ward AJ, Cherone JM, et al. Antagonistic regulation of mRNA expression and splicing by CELF and MBNL proteins. Genome Res 2015;25:858-71. [Crossref] [PubMed]
  9. Fardaei M, Rogers MT, Thorpe HM, et al. Three proteins, MBNL, MBLL and MBXL, co-localize in vivo with nuclear foci of expanded-repeat transcripts in DM1 and DM2 cells. Hum Mol Genet 2002;11:805-14. [Crossref] [PubMed]
  10. Kanadia RN, Urbinati CR, Crusselle VJ, et al. Developmental expression of mouse muscleblind genes Mbnl1, Mbnl2 and Mbnl3. Gene Expr Patterns 2003;3:459-62. [Crossref] [PubMed]
  11. Riches JC, Gribben JG. Mechanistic and Clinical Aspects of Lenalidomide Treatment for Chronic Lymphocytic Leukemia. Curr Cancer Drug Targets 2016;16:689-700. [Crossref] [PubMed]
  12. Han H, Irimia M, Ross PJ, et al. MBNL proteins repress ES-cell-specific alternative splicing and reprogramming. Nature 2013;498:241-5. [Crossref] [PubMed]
  13. Xu A, Sun S. Genomic profiling screens small molecules of metastatic prostate carcinoma. Oncol Lett 2015;10:1402-8. [Crossref] [PubMed]
  14. Zhu S, Zhao J, Nie L, et al. Homologous recombination deficiency (HRD) score in aggressive prostatic adenocarcinoma with or without intraductal carcinoma of the prostate (IDC-P). BMC Med 2022;20:237. [Crossref] [PubMed]
  15. He C, Li Y, Chen ZY, et al. Crosstalk of renal cell carcinoma cells and tumor-associated macrophages aggravates tumor progression by modulating muscleblind-like protein 2/B-cell lymphoma 2/beclin 1-mediated autophagy. Cytotherapy 2023;25:298-309. [Crossref] [PubMed]
  16. Lee YH, Jhuang YL, Chen YL, et al. Paradoxical overexpression of MBNL2 in hepatocellular carcinoma inhibits tumor growth and invasion. Oncotarget 2016;7:65589-601. [Crossref] [PubMed]
  17. Zhang J, Zheng Z, Wu M, et al. The natural compound neobractatin inhibits tumor metastasis by upregulating the RNA-binding-protein MBNL2. Cell Death Dis 2019;10:554. [Crossref] [PubMed]
  18. Jolly MK, Ward C, Eapen MS, et al. Epithelial-mesenchymal transition, a spectrum of states: Role in lung development, homeostasis, and disease. Dev Dyn 2018;247:346-58. [Crossref] [PubMed]
  19. Zheng M, Jiang YP, Chen W, et al. Snail and Slug collaborate on EMT and tumor metastasis through miR-101-mediated EZH2 axis in oral tongue squamous cell carcinoma. Oncotarget 2015;6:6797-810. [Crossref] [PubMed]
  20. An JS, Rho YS, Moon JH, et al. Notch1 inactivation promotes invasion and metastasis of nasopharyngeal carcinoma cells partly through Slug activation. Neoplasma 2020;67:259-66. [Crossref] [PubMed]
  21. Recouvreux MV, Moldenhauer MR, Galenkamp KMO, et al. Glutamine depletion regulates Slug to promote EMT and metastasis in pancreatic cancer. J Exp Med 2020;217:e20200388. [Crossref] [PubMed]
  22. Lin G, Li J, Cai J, et al. RNA-binding Protein MBNL2 regulates Cancer Cell Metastasis through MiR-182-MBNL2-AKT Pathway. J Cancer 2021;12:6715-26. [Crossref] [PubMed]
  23. Sawanyawisuth K, Sashida G, Sheng G. Epithelial-Mesenchymal Transition in Liver Fluke-Induced Cholangiocarcinoma. Cancers (Basel) 2021;13:791. [Crossref] [PubMed]
  24. Cai J, Wang N, Lin G, et al. MBNL2 Regulates DNA Damage Response via Stabilizing p21. Int J Mol Sci 2021;22:783. [Crossref] [PubMed]
Cite this article as: Zhang S, Chu X, Zhang Y, Qiu J, Pan L, Gu L, Kang H, Wang L. Expression profile, regulatory mechanism and prognostic potential of MBNL2 in esophageal squamous cell carcinoma. Transl Cancer Res 2025;14(2):717-730. doi: 10.21037/tcr-24-1933

Download Citation