Literature DB >> 31830337

TNNT1, negatively regulated by miR-873, promotes the progression of colorectal cancer.

Yu Chen1, Jinsong Wang2, Donghua Wang1, Ting Kang1, Jinghu Du1, Zeqiang Yan2, Manyu Chen1.   

Abstract

BACKGROUND: Troponin T1 (TNNT1) is a subunit of troponin that has been linked to neuromuscular disorder. Recently, it was reported that TNNT1 facilitates the proliferation of breast cancer cells. Interestingly, Cancer Genome Atlas data indicate that its overexpression is associated with an unfavorable prognosis of colorectal cancer (CRC) patients. The present study aimed to explore the expression, function and mechanism of dysregulation of TNNT1 in CRC.
METHODS: Immunohistochemical staining and a real-time polymerase chain reaction were used to compare the expression level of TNNT1 in CRC tissues and adjacent tissues. Western blotting was used to detect the expression of TNNT1 in cell lines. Kaplan-Meier analysis and a chi-squared test were applied to evaluate the potential of TNNT1 to function as a cancer biomarker. RNA interference was used to inhibit TNNT1 expression in CRC cells, followed by detection of cell proliferation, apoptosis, migration and invasion. A luciferase reporter gene assay was used to determine the regulatory relationship between miR-873 and TNNT1.
RESULTS: In the present study, we found that TNNT1 was significantly up-regulated in CRC samples and cell lines. The up-regulation of TNNT1 was also associated with several clinicopathologic features, and its high expression was correlated with an unfavorable prognosis of the patients. Knockdown of TNNT1 markedly arrested proliferation, migration and invasion, whereas it also promoted apoptosis. TNNT1 was identified as a target gene of miR-873, and there was a negative correlation among CRC samples.
CONCLUSIONS: In conclusion, we have demonstrated that TNNT1, regulated by miR-873, is an oncogene of CRC associated with patient prognosis.
© 2019 The Authors. The Journal of Gene Medicine published by John Wiley & Sons Ltd.

Entities:  

Keywords:  TNNT1; colorectal cancer; invasion; miR-873; migration; proliferation

Mesh:

Substances:

Year:  2019        PMID: 31830337      PMCID: PMC7027576          DOI: 10.1002/jgm.3152

Source DB:  PubMed          Journal:  J Gene Med        ISSN: 1099-498X            Impact factor:   4.565


INTRODUCTION

Colorectal cancer (CRC) is one of the most common malignancies in the world. According to statistics, CRC causes approximately 390 000 deaths every year, and the relative survival rate is less than 40%.1, 2 Much progress has been made with respect to the diagnostic and treatment technique and curative efficacy of CRC; however, the number of CRC patients is still increasing year by year, especially in some developing countries, including China.3 Hence, an investigation of potential biological mechanisms in the development of CRC is of great significance for the prevention and treatment of such a disease in clinical practice. Troponin T (TNT), an important protein of about 30–35 kDa, contains approximately 220–300 amino acids and is able to regulate the contraction and relaxation of striated muscle.4 According to previous studies, TNT shows the potential to be a biomarker for some human diseases.5 For example, to evaluate the levels of high‐sensitive TNT before and after treatment, it is important to evaluate cardiac dysfunction risk during the chemotherapy of breast cancer.6 One of the subunits of TNT, troponin T1 (TNNT1), is linked to nemaline myopathy type 5.7 Interestingly, TNNT1 has also been reported to be involved in the progression of breast cancer.8 However, the mechanism of action of TNNT1 in CRC, as well as its clinical significance, still remains to be clarified. MicroRNAs (miRNAs) are a class of single‐chain non‐coding RNAs containing 18–24 nucleotides. More and more studies indicate that some miRNAs function as tumor‐promoting factors or tumor suppressors in different human tumors.8 For example, miR‐133a‐3p serves as a tumor suppressor in hepatocellular carcinoma9; the dysregulation of miR‐146b is linked to the occurrence and prognosis of papillary thyroid carcinoma10; miR‐26a regulates the proliferation and metastasis of tumor cells by modulating PTEN‐AKT axis11; miR‐873, as a member of microRNAs, plays a crucial role in regulating tumor. As reported previously, miR‐873 can regulate the stemness of breast cancer cells via regulation of PD‐L1.12 In CRC, miR‐873 can suppress the proliferation of CRC cells by targeting TRAF5 and TAB1.13 Nevertheless, the detailed roles of miR‐873 in the occurrence and development of CRC should be explored further. In the present study, our biological analysis indicated that the prognosis of CRC patients with increased TNNT1 expression was much poorer. An in vitro experiment further showed that TNNT1 expression was up‐regulated in CRC tissues and cells, and also had a cancer‐promoting effect. Further investigation found that miR‐873 could negatively regulate TNNT1 and influence the progression of CRC. In general, the present study was carried out to provide theoretical evidence clarifying the molecular mechanisms responsible for the occurrence and development of CRC, as well as potential therapeutic regimens for CRC patients.

MATERIALS AND METHODS

Collection of pathological tissues

The present study was approved by the ethics review board of Xiangyang Central Hospital, Affiliated Hospital of Hubei University of Arts and Science. Forty‐five CRC tissue samples and adjacent normal tissues were collected from patients undergoing CRC surgery in Xiangyang Central Hospital. Adjacent normal tissues (at least 3 cm away from the surgical margin) collected from the same patients were used as control specimens, with no tumor cells found in a postoperative pathological examination. All of the specimens were stored in liquid nitrogen at −196°C immediately after removal.

Immunohistochemistry

Paraffin blocks containing tissues were sliced, xylene dewaxed, dehydrated and rehydrated. Subsequently, they were incubated with primary antibody (anti‐TNNT1 antibody; ab83907; dilution 1:100) overnight and secondary antibody for 30 minutes at room temperature, respectively. Subsequently, the slices were rinsed thoroughly with phosphate‐buffered saline solution. Next, DAB (Beijing Airan Biotechnology Co., Beijing, Ltd) was employed to terminate the reaction before the color was developed. Ultimately, staining was scored by pathologists in our hospital.

Cell culture

Human CRC cell lines HT29, SW480 and HCT116 and normal colonic cell line CRL1790 were purchased from Shanghai Institute of Biochemistry and Cell Biology, Chinese Academy of Science (Shanghai, China). These cells were respectively cultured in Dulbeccos's modified Eagle's medium medium (Gibco, Carlsbad, CA, USA) supplemented with 10% fetal bovine serum (FBS) (Gibco) and 100 U/ml penicillin/streptomycin (Invitrogen, Shanghai, China). The cells were placed in a incubator in 5% CO2 and a thermostatic environment at 37°C. The culture solution was changed once every 3 days. Cells in the logarithmic phase were harvested for subsequent experiments.

Cell transfection

TNNT1 overexpression plasmids were transfected into HT29 cells to build a model of TNNT1 overexpression. TNNT1 targeting small interfering RNA (siRNA) was transfected into SW480 cells to establish a model of TNNT1 knockdown. GenePharma (Shanghai, China) synthesized and provided pcDNA3.1/TNNT1 and pcDNA3.1 plasmid. Ribobio Co., Ltd (Guangzhou, China) supplied siRNA targeting TNNT1, control siRNA, miR‐873 mimics, negative control mimics, miR‐873 inhibitor and control inhibitor, and the sequences were designed as described previously.14, 15 Plasmids were transfected with Lipofectamine 2000 reagent in accordance with the manufacturer's instructions (Thermo Fisher Scientific, Waltham, MA, USA). The sequences are listed in Tables 1 and 2.
Table 1

Sequences of miR mimics and miR inhibitors

NameSequence
miR‐873 mimic5'‐GCAGGAACUUGUGAGUCUCCUTT‐3'
miR‐control mimic5'‐UCGCUUGGUGCAGGUCGGGAATT‐3'
miR‐873 inhibitor5'‐AGGAGACUCACAAGUUCCUGCTT‐3'
miR‐control inhibitor5'‐UUCUCCGAACGUGUCACGUTT‐3'
Table 2

Sequences of control siRNA and TNNT1 siRNAs

NameSequence
Si‐TNNT15'‐CTCTGGA CATTGACTACAT‐3'
Si‐control5'‐AATTCTCCGAACG TGTCACGT‐3'
Sequences of miR mimics and miR inhibitors Sequences of control siRNA and TNNT1 siRNAs

BrdU staining

The cells transfected were inoculated on the cover glass of a 24‐well plate and cultured overnight. BrdU (10 μg/mL) was added to the medium for 1 hour of culture before these cells were fixed in 4% paraformaldehyde for 10 minutes and stained with anti‐BrdU antibody (Biocompare, South San Francisco, CA, USA) in accordance with the manufacturer's instructions. Then, the cover glass was counterstained with 4',6‐diamidino‐2‐phenylindole to mark nuclei, and images were obtained under a fluorescence microscope (Olympus, Tokyo, Japan).

Quantitative reverse transcriptase‐polymerase chain reaction (qRT‐PCR)

RNA was extracted from tissues and cells and reversely transcribed into cDNA using a Promega Reverse Transcription System (Promega, Madison, WI, USA) in accordance with the manufacturer's instructions. qRT‐RCR was performed in the ABI 7500 real‐time PCR system (Applied Biosystems, Foster City, CA, USA) with SYBR premix EX TAQ II kit (Takara, Dalian, China) in accordance with the respective manufacturer's instructions. With GAPDH and U6 as internal references, the expression levels of TNNT1 and miR‐873 were statistically analyzed by the 2‐ΔΔCt method. The specific primers used are listed in Table 3.
Table 3

The sequence of the primers used for qRT‐PCR

NamePrimer sequence
TNNT1Forward: 5'‐AACGCGAACGTCAGGCTAAGCT‐3'
Reverse: 5'‐CAGGGAGAAACGACCTGGAG‐3'
miR‐873Forward: 5'‐CAGAAGGCAAACTGCCTCTGTT‐3'
Reverse: 5'‐GTTAAAAGTTGATACCAACAGTG‐3'
U6Forward: 5'‐GCTTCGGCAGCACATATACTAA‐3'
Reverse: 5'‐AACGCTTCACGAATTTGCGT‐3'
GAPDHForward: 5'‐AGCCACATCGCTCAGACAC‐3'
Reverse: 5'‐GCCCAATACGACCAAATCC‐3'
The sequence of the primers used for qRT‐PCR

CCK‐8 assay

A CCK8 assay was carried out using a Cell Counting Kit‐8 (CCK‐8) in accordance with the manufacturer's instructions (MedChem Express, New Jersey, USA). Stably transfected Huh7 cells and Hep3B cells were inoculated to a 96‐well plate (1 × 103 cells/well). A 10 μL CCK‐8 solution (Hubei Biossci Biotechnology Co., Wuhan, Ltd) was added 1, 2, 3 and 4 days later, respectively. Optical density at 450 nm was measured after being cultured further at 37°C for 1 hour.

Transwell invasion assay

The migration and invasion of cells were detected by a Transwell migration and invasion experiment. Transwell chambers of pore size 8 μm (Corning, Beijing, China), coated with Matrigel (not used for the migration experiment) were used. CRC cells were trypsinized, centrifuged, resuspended in FBS‐free medium, and 5 × 104 cells were placed in the upper compartment, whereas the 10% FBS‐containing medium was added in the lower compartment. After 24 hour of culture at 37°C, cells failing to migrate or invade were removed from the upper compartment. Then, Transwell membrane was fixed in 4% paraformaldehyde for 10 minutes and stained with 0.5% crystal violet. After rinsing with running water, migrated or invaded cells were counted under an inverted microscope (Olympus).

Luciferase reporter gene assay

HT29 cells were inoculated to a 24‐well plate (5 × 105 cells/well). Wild‐type (WT) or mutant type (Mut) TNNT1 was cloned to pGL 3 Basic vector (Promega) and transfected into HT29 cells. miR‐873 mimics or control miR, respectively, was co‐transfected together with the cells described above. Luciferase activity was determined, respectively, using the dual‐luciferase reporter system (Promega) in accordance with the manufacturer's instructions, 48 hours after transfection.

Western blotting

Cells were washed with phosphate‐buffered saline and lysed with protease inhibitor‐containing RIAP lysis buffer (Thermo Science, Rockford, IL, USA). Supernatant was collected after centrifugation at a high speed. Protein quantification was performed by bicinchoninic acid method, and supernatant was heated in a water bath kettle for protein denaturation. Proteins were separated by sodium dodecyl sulfatepolyacrylamide gel electrophoresis and transferred onto a nitrocellulose (NC) membrane (Millipore, MA, USA) before 30 minutes of blocking with skim milk powder at room temperature. After the membrane was washed with Tris‐buffered saline, Tween 20 (TBST), primary antibodies anti‐TNNT1 antibody (ab83907) (dilution 1:1000; Abcam, Cambridge, UK) and anti‐GAPDH antibody (ab181602) (dilution 1:1000; Abcam) were added for culture at 4°C overnight. Then the membrane was rinsed with TBST solution and then incubated together with secondary antibody Goat Anti‐Rabbit IgG H&L (HRP) (ab205718) (dilution 1:2000; Abcam) at room temperature for 1 hour. Subsequently, color rendering was performed using an enhanced chemiluminescence kit (Pierce, Waltham, MA, USA).

Statistical analysis

SPSS, version 22.0 (IBM Corp., Armonk, NY, USA) was used to perform the statistical analysis. The data obtained are expressed as the mean ± SD. Student's t test was conducted to compare the differences in measurements between two groups. Anslysis of variance was performed to compare differences in measurements among multiple groups. The correlation between TNNT1 and pathological parameters was analyzed by a chi‐squared test. p < 0.05 was considered statistically significant.

RESULTS

TNNT1 is highly expressed in CRC

To explore the characteristics of TNNT1 expression in CRC, the expression of TNTT1 in 45 pairs of CRC tissues/corresponding normal tissues was detected by immunohistochemistry. The results revealed that TNNT1 expression in CRC was significantly higher than that in normal tissues (Figure 1A). Moreover, the survival curve of TNNT1 in CRC patients was obtained from Gepia (http://gepia.cancer-pku.cn/index.html) and it was found that the overall survival of CRC patients highly expressing TNNT1 was significantly poorer (Figure 1B). To further investigate the characteristics of TNNT1 expression in CRC, the expression levels of TNNT1 in CRC tissues and normal tissues were detected by qRT‐PCR. The results suggested that TNNT1 expression in CRC tissues was significantly increased compared to normal tissues (Figure 1C). Next, the characteristics of TNNT1 expression in different cell lines were studied by western blotting, and the results indicated that, compared to the normal cell line CRL1790, the protein expression levels of TNNT1 in CRC cell lines (HT29, SW480 and HCT116) were markedly increased (Figure 1D). Collectively, these data indicated that TNNT1 was up‐regulated in CRC tissues, suggesting its oncogenic role in CRC progression.
Figure 1

TNNT1 was up‐regulated in CRC. (A) Representative images of immunohistochemical results for TNNT1 in CRC tissues and adjacent normal tissues. (B) The survival curve of TNNT1 in CRC patients was plotted with TCGA data using Gepia. (C) qRT‐PCR was used to detect the expression of TNNT1 in normal tissues and CRC tissues. (D) RT‐PCR was used to determine the expression of TNNT1 in CRL1790, HT29, SW480 and HCT116 cell lines. ***p < 0.001

TNNT1 was up‐regulated in CRC. (A) Representative images of immunohistochemical results for TNNT1 in CRC tissues and adjacent normal tissues. (B) The survival curve of TNNT1 in CRC patients was plotted with TCGA data using Gepia. (C) qRT‐PCR was used to detect the expression of TNNT1 in normal tissues and CRC tissues. (D) RT‐PCR was used to determine the expression of TNNT1 in CRL1790, HT29, SW480 and HCT116 cell lines. ***p < 0.001

Increased TNNT1 expression is associated with pathological indices in CRC

To better understand the clinical significance of TNNT1 expression in CRC, we next investigated the correlation between TNNT1 expression and the clinical characteristics of CRC patients. According to the median mRNA expression level of TNNT1, 45 patients were divided into a high TNNT1 expression group and a low TNNT1 expression group. The data obtained indicated that high TNNT1 expression in CRC tissues was associated with an increase in T stage, degree of differentiation and lymphatic metastasis (p < 0.05), although it was irrelevant to patient's age and gender and tumor size (p > 0.05) (Table 4).
Table 4

Correlation between TNNT1 and pathological parameters in CRC

Pathological http://dict.cnki.net/dict_result.aspx?searchword=%e7%97%85%e7%90%86%e6%8c%87%e6%a0%87&tjType=sentence&style=&t=pathological+parameters Number of patientsTNNT1ExpressionChi‐squared p value
LowHigh
All patients452223
Age (years)0.01780.89390
< 60201010
≥ 60251213
Gender0.60560.43644
Male19811
Female261412
Tumor size (cm)0.26240.60848
< 3291514
≥ 31679
T stage9.69570.00784
I13112
II1569
III17512
Differentiation3.79450.05142
Well and moderate18126
Poor271017
Lymph node status4.14790.04168
Yes17512
No281711
Correlation between TNNT1 and pathological parameters in CRC

TNNT1 can regulate the proliferation, migration and invasion of CRC cells

HT29 and SW480 cell lines were selected to build a model of TNNT1 overexpression and a model of TNNT1 knockdown, respectively (Figure 2A). To explore the influence of TNNT1 on CRC cells, the proliferation of CRC cells was detected by a CCK8 assay and a BrdU assay. The results showed that, compared to the control group, TNNT1 overexpression could promote the proliferation of CRC cells; compared to the control group, TNNT1 knockdown inhibited the proliferation of CRC cells (Figure 2B and C). Migration and invasion of CRC cells were detected by a Transwell assay and the results suggested that TNNT1 overexpression could promote the migration and invasion of CRC cells compared to the control group; TNNT1 knockdown could inhibit the migration and invasion of CRC cells compared to the control group (Figure 2D and E).
Figure 2

TNNT1 promoted the proliferation, migration and invasion of CRC cells. (A) Overexpression and knockdown models of TNNT1 were established and the expression of TNNT1 was detected by RT‐PCR. (B) The CCK‐8 method was used to detect the proliferation of CRC cells. (C) A BrdU assay was used to detect the proliferation of CRC cells. (D, E) The Transwell method was used to detect the migration and invasion of CRC cells. *p < 0.05, **p < 0.01 and ***p < 0.001

TNNT1 promoted the proliferation, migration and invasion of CRC cells. (A) Overexpression and knockdown models of TNNT1 were established and the expression of TNNT1 was detected by RT‐PCR. (B) The CCK‐8 method was used to detect the proliferation of CRC cells. (C) A BrdU assay was used to detect the proliferation of CRC cells. (D, E) The Transwell method was used to detect the migration and invasion of CRC cells. *p < 0.05, **p < 0.01 and ***p < 0.001

TNNT1 is targeted by miR‐873

To further explore the mechanism of TNNT1 dysregulation in CRC, we predicted the miRs potentially targeting TNNT1 using the miRanda database (http://www.microrna.org/microrna) and found that miR‐873 had the potential to regulate TNNT1 (Figure 3A). To obtain a deeper understanding of the characteristics of miR‐873 expression in CRC, the expression levels of miR‐873 in normal tissues and CRC tissues and CRC cell lines were detected by RT‐PCR, respectively. The results obtained indicated that, compared to normal tissues, the expression levels of miR‐873 in CRC tissues and CRC cell lines were evidently down‐regulated, which was consistent with a previous study (Figure 3B and C).15 To confirm the target relationship between TNNT1 and miR‐873, HT29 and SW480 cell lines were selected to build a model of miR‐873 overexpression and a model of miR‐873 inhibition (Figure 3D). In addition, a Pearson correlation test was used to analyze the correlation between miR‐873 and TNNT1 in CRC samples. The results confirmed that the level of miR‐873 and TNNT1 mRNA was negatively correlated (Figure 3E). Furthermore, TNNT1 expression following miR‐873 overexpression/inhibition was detected by western blotting, and the results revealed that miR‐873 overexpression decreased TNNT1 expression, whereas miR‐873 inhibition significantly up‐regulated TNNT1 expression (Figure 3F). Furthermore, a dual luciferase reporter assay indicated that miR‐873 mimics could reduce the luciferase activity of the TNNT1‐wt containing luciferase reporter and had no significant influence on the luciferase activity of TNNT1‐mut vector (Figure 3G), further confirming the target relationship between the 3'‐UTR of TNNT1 and miR‐873 in CRC. Based on these results, we concluded that the up‐regulation of TNNT1 in CRC tissues might be a result of the dysregulation of miR‐873.
Figure 3

TNNT1 targeted on miR‐873. (A) The miRanda database predicted that TNNT1 was a potential target of miR‐873. (B) The expression of miR‐873 in normal tissues and CRC tissues was detected by qRT‐PCR. (C) qRT‐PCR was used to detect the expression of miR‐873 in CRL1790, HT29, SW480 and HCT116 cell lines. (D) A miR‐873 overexpression and inhibition cell model was constructed. (E) A Pearson correlation test was used to analyze the correlation between mir‐873 and tnnt1 in colorectal cancer. p < 0.001. (F) The expression of TNNT1 was detected by western blot after transfection of miR‐873 mimics or inhibitor. (G) A luciferase assay confirmed the targeted relationship between TNNT1 and miR‐873. *p < 0.05, **p < 0.01 and ***p < 0.001

TNNT1 targeted on miR‐873. (A) The miRanda database predicted that TNNT1 was a potential target of miR‐873. (B) The expression of miR‐873 in normal tissues and CRC tissues was detected by qRT‐PCR. (C) qRT‐PCR was used to detect the expression of miR‐873 in CRL1790, HT29, SW480 and HCT116 cell lines. (D) A miR‐873 overexpression and inhibition cell model was constructed. (E) A Pearson correlation test was used to analyze the correlation between mir‐873 and tnnt1 in colorectal cancer. p < 0.001. (F) The expression of TNNT1 was detected by western blot after transfection of miR‐873 mimics or inhibitor. (G) A luciferase assay confirmed the targeted relationship between TNNT1 and miR‐873. *p < 0.05, **p < 0.01 and ***p < 0.001

miR‐873 can inhibit the proliferation, migration and invasion of CRC cells

To explore the influence of miR‐873 on CRC cells, the proliferation of CRC cells was detected by a CCK8 assay and a BrdU assay. The results indicated that, compared to the NC group, miR‐873 overexpression could significantly restrain the proliferation of CRC cells; conversely, compared to the NC group, miR‐873 inhibitors promoted the proliferation of CRC cells (Figure 4A and B). A Transwell assay was performed to investigate the role of miR‐873 in the migration and invasion of CRC cells. The results suggested that the migration and invasion of CRC cells could be markedly suppressed by the transfection of miR‐873 mimics, whereas the transfection of miR‐873 inhibitors promoted the migration and invasion of CRC cells. These results suggested the role of miR‐873 as a tumor suppressor in CRC.
Figure 4

MiR‐873 inhibited the proliferation, migration and invasion of CRC cells. (A) The CCK‐8 method was used to detect the proliferation after transfection of miR‐873 mimics or inhibitors in colon cancer cells. (B) The proliferation of CRC cells was detected by a BrdU assay. (C, D) The Transwell method was used to detect the migration and invasion of CRC cells after transfection of miR‐873 mimics or inhibitor. *p < 0.05, **p < 0.01, ***p < 0.001

MiR‐873 inhibited the proliferation, migration and invasion of CRC cells. (A) The CCK‐8 method was used to detect the proliferation after transfection of miR‐873 mimics or inhibitors in colon cancer cells. (B) The proliferation of CRC cells was detected by a BrdU assay. (C, D) The Transwell method was used to detect the migration and invasion of CRC cells after transfection of miR‐873 mimics or inhibitor. *p < 0.05, **p < 0.01, ***p < 0.001

miR‐873/TNNT1 axis can regulate the proliferation, migration and metastasis of CRC cells

To further probe the function of miR‐873/TNNT1 axis in CRC, miR‐873 expression was up‐regulated using miR‐873 mimics on the basis of TNNT1 overexpression. TNNT1 expression and miR‐873 expression were detected by RT‐PCR and western blotting, respectively. The results indicated that, compared to the normal control, miR‐873 overexpression could significantly inhibit TNNT1 protein expression, and the introduction of TNNT1 had no obvious significance on miR‐873 expression (Figure 5A and B). Proliferation, migration and invasion of CRC cells were further detected, and the results suggested that, compared to the control group, proliferation, migration and invasion of CRC cells in miR‐873 mimics group were inhibited, and these effects could be partly reversed by TNNT1 overexpression (Figure 5C–F). These data further validated the important role of the miR‐873/TNNT1 axis with respect to the malignant phenotypes of CRC cells.
Figure 5

The miR‐873/TNNT1 axis can regulate the proliferation, migration and metastasis of CRC cells. (A, B) The expression of miR‐873 was detected by RT‐PCR. (B) Western blotting was used to detect the expression of TNNT1. (C) A BrdU assay was used to detect the proliferation of CRC cells. (D) The CCK‐8 method was used to detect the proliferation of CRC cells. (E, F) The Transwell method was used to detect the migration and invasion of CRC cells. *p < 0.05, **p < 0.01, ***p < 0.001

The miR‐873/TNNT1 axis can regulate the proliferation, migration and metastasis of CRC cells. (A, B) The expression of miR‐873 was detected by RT‐PCR. (B) Western blotting was used to detect the expression of TNNT1. (C) A BrdU assay was used to detect the proliferation of CRC cells. (D) The CCK‐8 method was used to detect the proliferation of CRC cells. (E, F) The Transwell method was used to detect the migration and invasion of CRC cells. *p < 0.05, **p < 0.01, ***p < 0.001

DISCUSSION

CRC involves a very complicated, multistage pathological process under the control of multiple genes.16 The accurate prediction of the prognosis of a CRC patient and the consequent selection of an effective therapeutic regimen is of great importance for improving patient survival.17 Molecular markers associated with the prognosis of CRC would probably guide individualized therapy to improve the survival rate of CRC patients.18 The present study showed that TNNT1 expression in CRC tissues was up‐regulated, suggesting that TNNT1 might be a biomarker of CRC. Previous studies have reported that the mutation of TNNT1 gene leads to the complete loss of slow TNT in skeletal muscle, finally resulting in severe nemaline myopathy.19 Surprisingly, studies on the role of TNNT1 in regulating tumors have been increasing in recent years. For example, TNNT1 expression is significantly expressed in breast cancer tissue, and TNNT1 expression is is found to be closely associated with clinical stage and T and N classification, promoting the proliferation of cancer cells by shifting G1/S conversion.20 In the present study, we demonstrated that TNNT1 knockdown significantly suppressed the proliferation, migration and invasion of CRC cells, whereas TNNT1 overexpression promoted these malignant phenotypes, indicating that TNNT1 has a cancer‐promoting effect in the development of CRC, which was similar to that in breast cancer. In the future, in vivo experiments are needed to confirm the role of TNNT1 in CRC, and the downstream mechanism of TNNT1 by which it promotes cancer progression also deserves further investigation. As an endogenous noncoding RNA, miRNA is also involved in the biological regulation of cells in many tumors, including proliferation, metastasis, multidrug resistance, stemness maintenance, and so on.21, 22 For example, miR‐873 can induce the proliferation and migration of lung adenocarcinoma cells by targeting SRCIN123; miR‐873 mediates the multidrug resistance of ovarian carcinoma cells via targeting ABCB124; miR‐873 can modulate the expression of stemness markers (OCT4 and Nanog) in breast cancer stem cells by regulating PD‐L1.12 Many experiments suggest that miR‐873 has a tumor‐inhibiting effect. The present study also found that miR‐873 expression was down‐regulated in CRC tissues compared to normal tissues. Furthermore, transfection with miR‐873 mimics that inhibit the proliferation, migration and invasion of CRC cells, at the same time as inhibiting miR‐873, could promote the proliferation, migration and invasion of CRC cells, indicating that miR‐873 functions as a tumor suppressor in the development of CRC. In recent years, numerous studies have shown that 5' terminal (“seed” region) of miRNA can interact with the 3'‐UTR of mRNA by pairing specifically to cause its degradation or inhibit its translation,25, 26 thereby regulating the relevant proteins and its downstream signaling pathways. This process plays a critical role in the progression of tumors. For example, miR‐196b‐5p regulates the migration and metastasis of CRC cells by interacting with HOXB7 and GALNT527; miR‐103 modulates the tumorigenesis of CRC by targeting ZO‐128; and miR‐873‐5p inhibits cell migration, invasion and epithelial‐mesenchymal transition in CRC by targeting ZEB1.29 Intriguingly, our bioinformatics analysis found that there was a targeting relationship between miR‐873 and TNNT1. We designed experiments and found that TNNT1 could promote the proliferation, migration and invasion of CRC cells, and miR‐873 suppressed the proliferation, migration and invasion of CRC cells. Furthermore, our luciferase activity assay confirmed the target relationship between TNNT1 and miR‐873, and we found that miR‐873 probably acts as an upstream target molecule of TNNT1 and has an influence on CRC by regulating TNNT1. In sum, TNNT1 can promote the proliferation, migration and invasion of CRC cells, suggesting that TNNT1 can be used as a potential marker for the diagnosis and treatment of CRC. In addition, we also found that miR‐873 functions as a tumor suppressor in CRC cells, and TNNT1 negatively regulated by miR‐873 may promote the progression of CRC. In conclusion, the present study explores some new mechanisms in the development of CRC and provides new theoretical evidence for the diagnosis and treatment of CRC.

CONFLICT OF INTEREST

The authors declare that they have no conflicts of interest.
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  6 in total

1.  Optimal therapeutic targeting by HDAC inhibition in biopsy-derived treatment-naïve diffuse midline glioma models.

Authors:  Nicholas A Vitanza; Matt C Biery; Carrie Myers; Eric Ferguson; Ye Zheng; Emily J Girard; Justyna M Przystal; Giulia Park; Alyssa Noll; Fiona Pakiam; Conrad A Winter; Shelli M Morris; Jay Sarthy; Bonnie L Cole; Sarah E S Leary; Courtney Crane; Nicole A P Lieberman; Sabine Mueller; Javad Nazarian; Raphael Gottardo; Mi-Youn Brusniak; Andrew J Mhyre; James M Olson
Journal:  Neuro Oncol       Date:  2021-03-25       Impact factor: 12.300

2.  Circular RNA LONP2 regulates proliferation, invasion, and apoptosis of bladder cancer cells by sponging microRNA-584-5p.

Authors:  Xu Zhang; Hao Xiong; Yong Zhao; Shengqiang Lin; Xiang Huang; Cheng Lin; Shihui Mao; Demin Chen
Journal:  Bioengineered       Date:  2022-04       Impact factor: 6.832

3.  Identification of Prognosis-Related Molecular Subgroups and Construction of a Prognostic Prediction Model Using Immune-Related Genes in Pancreatic Cancer.

Authors:  Xiang Fei; Lingming Kong; Chao Shi; Gang Wang; Chenhai Liu; Cheng Wang; Peng Liu; Xiaodong Tan
Journal:  J Oncol       Date:  2022-06-07       Impact factor: 4.501

4.  Identification of Tumor Antigens and Design of mRNA Vaccine for Colorectal Cancer Based on the Immune Subtype.

Authors:  Cong Liu; Dimitri Papukashvili; Yu Dong; Xingyun Wang; Xing Hu; Nuo Yang; Jie Cai; Fengfei Xie; Nino Rcheulishvili; Peng George Wang
Journal:  Front Cell Dev Biol       Date:  2022-01-20

5.  Transcriptome Sequencing Analysis of the Effect of β-Elemene on Colorectal Cancer from the lncRNA-miRNA-mRNA Perspective.

Authors:  Heng Deng; Shuo Chen; Xiancang Yuan; Jun Zhang
Journal:  Genet Res (Camb)       Date:  2022-09-13       Impact factor: 1.375

6.  TNNT1, negatively regulated by miR-873, promotes the progression of colorectal cancer.

Authors:  Yu Chen; Jinsong Wang; Donghua Wang; Ting Kang; Jinghu Du; Zeqiang Yan; Manyu Chen
Journal:  J Gene Med       Date:  2019-12-23       Impact factor: 4.565

  6 in total

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