Published online Jun 21, 2021. doi: 10.3748/wjg.v27.i23.3327
Peer-review started: December 14, 2020
First decision: December 27, 2020
Revised: January 6, 2021
Accepted: May 19, 2021
Article in press: May 19, 2021
Published online: June 21, 2021
Processing time: 185 Days and 22.1 Hours
Abnormal tuftelin 1 (TUFT1) has been reported in multiple cancers and exhibits oncogenic roles in tumor progression. However, limited data are available on the relationship between TUFT1 and hepatocellular carcinoma (HCC), and the exact biological mechanism of TUFT1 is still poorly understood in HCC.
To investigate TUFT1 expression in HCC and how interfering TUFT1 trans
TUFT1 in HCC and non-HCC tissues based on databases of the Cancer Genome Atlas and Oncomine were analyzed, and TUFT1 in human HCC tissues on microarray were detected by immunohistochemistry for clinicopathological features, overall survival, and disease-free survival. HCC cells were transfected with constructed vectors of TUFT1 that interfere or over-express TUFT1 for analyzing the biological behaviors of HCC cells. Proliferation, invasion, migration, and apoptosis of cells were detected by cell counting kit-8, scratch assay, transwell tests, and flow cytometry and confirmed by Western blotting, respectively.
Abnormal TUFT1 levels in databases expressed in HCC at messenger RNA (mRNA) level and HCC tissues were mainly located in cytoplasm and membrane. The level of TUFT1 expression in the HCC group was significantly higher (χ2 = 18.563, P < 0.001) than that in the non-cancerous group, closely related to clinical staging, size, vascular invasion of tumor, hepatitis B e-antigen positive, and ascites (P < 0.01) of HCC patients, and negatively to HCC patients’ overall survival and disease-free survival (P < 0.001). After interfering with TUFT1 transcription at mRNA level in the MHCC-97H cells by the specific TUFT1-short hairpin RNA, cell proliferation, invasion, and metastasis were significantly inhibited with increasing apoptosis rate. In contrast, proliferation, invasion, and migration were significantly enhanced after over-expression of TUFT1 mRNA in Hep3B cells in vitro.
Oncogenic TUFT1 was associated with the progression of HCC and could be a potential molecular-target for inhibiting HCC growth.
Core Tip: Tuftelin1 (TUFT1) has been reported to be regulated by hypoxia and involved in the Hedgehog signaling pathway, with over-expression in hepatocellular carcinoma (HCC) tissues or cell lines. Abnormal TUFT1 level was significantly related to tumor size, vascular invasion, positive hepatitis B e-antigen, advanced tumor-node-metastasis stage of HCC, patients with ascites, and shorter overall survival and disease-free survival. Interfering TUFT1 transcription could markedly suppress the growth and metastasis of high TUFT1 MHCC-97H cell lines in vitro through accelerating apoptosis. Moreover, increasing TUFT1 expression might promote the growth and metastasis of low TUFT1 Hep3B cell lines in vitro. The data suggested that TUFT1 is involved in HCC progression via the mechanism of inhibiting apoptosis and might serve as a potential therapeutic target for inhibiting HCC growth.
- Citation: Wu MN, Zheng WJ, Ye WX, Wang L, Chen Y, Yang J, Yao DF, Yao M. Oncogenic tuftelin 1 as a potential molecular-targeted for inhibiting hepatocellular carcinoma growth. World J Gastroenterol 2021; 27(23): 3327-3341
- URL: https://www.wjgnet.com/1007-9327/full/v27/i23/3327.htm
- DOI: https://dx.doi.org/10.3748/wjg.v27.i23.3327
Hepatocellular carcinoma (HCC) is usually lethal because of late diagnosis and early metastasis[1]. HCC is still one of the most common cancers with increasing incidence in the inshore area of the Yangtze River[2]. Aberrant up-regulated or down-regulated expression of many genes was identified during malignant transformation of hepatocytes in patients with chronic inflammation or damage by hepatitis B viruses (HBV), hepatitis C viruses (HCV), toxic intake, liver cirrhosis, and non-alcoholic fatty liver disease[3,4]. Given the limited effective therapies available for HCC patients with advanced stages, surgical resection and radiofrequency ablation are still the most common curative treatments for early stage patients, but the prognosis as overall survival (OS) or disease free survival (DFS) rate is very poor[5,6]. Therefore, the pathogenesis and feasible therapeutic treatments of HCC need urgent investigation[7-9]. Recently, tuftelin 1 (TUFT1) has been reported to be elevated during multiple cancer types, and the abnormal expression of TUFT1 has attracted medical attention[10,11]. TUFT1 was first identified and sequenced from a bovine ameloblast-enriched complementary DNA library with a highly conserved gene localized in chromosome 1q21-31 that contains 13 exons encoding an acidic, phosphorylated glycoprotein of 390 amino acids and plays a critical role in the development and mineralization of enamel[12].
TUFT1 belongs to the enamel associated teeth proteins and is thought to play a role in enamel mineralization. Also, TUFT1 is expressed in embryonic stem cells, neuronal cells, and non-mineralizing tissues like eyes, brain, adrenal gland, lung, liver, kidneys, testis, and tumor tissues[13-15]. TUFT1 can modulate the Rab GTPase-regulated process to activate the mammalian target of rapamycin complex 1 signaling that is activated in many cancers[16] and associated with poor prognosis in breast or pancreatic cancer and thyroid carcinoma[10,11,14]. In addition, TUFT1 is correlated with the metastasis and epithelial-mesenchymal transition[10], which could be regulated by hypoxia that enhanced TUFT1 by down-regulating miR-671-5p via interaction with 3'-ultranslated region of TUFT1 messenger RNA (mRNA) rather than by directly promoting hypoxia inducible factor-1α (HIF-1α) binding to TUFT1 promoter, and the Hedgehog signaling pathway[17-19]. Abnormal TUFT1 has been reported in multiple cancers and exhibits oncogenic roles in tumor progression[17,20]. However, limited data are available on the relationship between TUFT1 and HCC, and the exact biological mechanism of TUFT1 in HCC is still poorly understood. In this present study, the landscape of TUFT1 expression in human HCC tissues was investigated, and its molecular mechanism was confirmed through intervening or over-expressing TUFT1 activation in vitro.
Differential expressions of TUFT1 mRNA between HCC and normal liver tissues were collected according to the bioinformatics data from the Gene Expression Profiling Interactive Analysis (GEPIA) public Website[21] (http://GEPIA.cancer-pku.cn/detail.php) and the Oncomine database (https://www.Oncomine.org/resource).
This study was approved by the Ethics Committee permission (TDFY2018-025) at the Affiliated Hospital of Nantong University, China from Jan 2009 to Dec 2014, and the prior written informed consent was obtained from HCC patients according to the Helsinki Declaration of World Medical Association. A total 132 pairs of self-controlled HCC tissues (HCC group) and their para-cancerous tissues (2 cm to cancer, Para-C group) were collected from patients with HCC after post-operation, frozen in liquid nitrogen, and kept at -85 °C until used. According to their medical records, the patients were 111 males and 21 females with 21-79-years-old (average 60.04 ± 15.8 years). Serum alpha-fetoprotein (AFP) concentrations were 104 cases with ≥ 20 ng/mL and 28 cases with < 20 ng/mL. There were 120 cases with positive HBV surface antigen and 45 cases with positive hepatitis B e-antigen (HBeAg). There were 106 cases with tumor size ≥ 3.0 cm, 58 cases with vascular invasion, and 32 cases with ascites.
According to the 2019 edition of the diagnosis and treatment of primary liver cancer, there were three groups: Well (I), medium (II), and poor (III) differentiation. HCC patients were divided into I-IV stages, with 59 cases at I-II, and 73 cases at III-IV staging on the tumor-node-metastasis (TNM) classification of the International Union Against Cancer. All patients underwent histopathology and did not receive radiation or chemotherapy prior to surgery. HCC patients had regular follow-up from operation to death until Jan 2020. Diagnosis of HCC was confirmed with the criteria set by the Chinese National Collaborative Cancer Research Group[22].
Tissue microarrays (TMA) were constructed by the Departments of Pathology, Affiliated Hospital of Nantong University, China, containing formalin-fixed and paraffin-embedded specimens from 132 HCC tissues and their non-cancerous tissues. Tissue cores (1.5 mm) from the representative areas were constructed into the TMA slices.
Immunohistochemistry staining was determined for assessing TUFT1 expression by GTVisionTM III Detection System/Mo&Rb (GK600710) according to the manufacturer′s protocol. TMA slices were dewaxed and rehydrated, underwent antigen retrieval, and were blocked endogenous peroxidase and antibody nonspecific binding with 3% H2O2 and 10% goat serum, respectively. Slices were incubated with the primary anti-human TUFT1 antibody (1: 250, Abcam, Cambridge, United Kingdom) overnight at 4 °C. The slices after incubated with horseradish peroxidase (HRP)-conjugated goat anti-rabbit immunoglobulin G (Everest Biotech, Oxford, United Kingdom) were stained with diamino-benzidine, and counterstained with hematoxylin, cleared in xylene, and covered. The levels of TUFT1 expression were calculated with the Image-Pro Plus 6.0 software (Media Cybernetics, Rockville, MD, United States). Blinded evaluations of TUFT1 immunostaining and independent observation by two independent pathologists were carried out simultaneously, and the score was calculated by the sum of staining intensities and the rates of 100 positive cells. TUFT1 level in HCC tissues was divided into low and high expression. The expressing intensities of TUFT1 were divided into four categories: 0, negative; 1, weakly positive; 2, moderate positive; and 3, strongly positive.
All human HCC (Hep3B, MHCC-97L, MHCC-97H, BEL-7404, HepG2, HCCLM3, and SMMC-7721) cells and LO2 cell line were purchased from the Zhongqiao Xinzhou Science and Technology Co. (Shanghai, China). HCC cells were divided into three groups: Control, negative control (sh-NC or NC), and intervening (sh-TUFT1 or over-expressing) groups. HCC (MHCC-97L, MHCC-97H, BEL-7404, HepG2, and HCCLM3) cells in high glucose Dulbecco’s modified Eagle’s Medium with 10% fetal bovine serum (FBS, Gibco Laboratories, Gaithersburg, MD, United States), SMMC-7721 and LO2 cell lines in Roswell Park Memorial Institute-1640 medium with 10% FBS, and Hep3B cells in Minimal Essential Medium with 15% FBS were cultured containing 100 U/mL of penicillin/streptomycin at 37 °C with 5% of CO2. Cell density to about 85% was used to next cell passage.
Specific short hairpin RNA (shRNA) targeting sites of TUFT1 sequence (GenBank: AH009496.2)[23] were designed and synthesized (Guangzhou Cyagen Biotechnology Co., Ltd., China) and used to construct lentivirus LV-U6 > Scramble-shRNA-PGK > enhanced green fluorescent protein (EGFP)/T2A/Puro vector. Inserted interfering sequences in plasmids were TUFT1-shRNA1: 5’-AGAAGCTCCGG GAGGATATAACTCGAGTTATATCCTCCCGGAGCTCT-3’, TUFT1-shRNA2: 5’-TGA GGTGGACACCTGTATAAACTCGAGTTTATACAGGTGTCCACCTCA-3’, and TUFT1 -shRNA3: 5’-GATTCACGAGAAGAATATTAACTCGAGTTAATATTCTTCTCGTGAA TC-3’, respectively. TUFT1-negative plasmid was constructed similarly with a shRNA sequence that does not suppress TUFT1 expression, and the Scramble vector (Cyagen, Santa Clara, CA, United States) as a control. All inserted sequences were confirmed by sequencing.
The exon sequence of TUFT1 gene (GenBank: AH009496.2)[23] was inserted into the Scramble vector (GenePharma, Shanghai, China) to construct pEX-4 (pGCMV/MCS/ T2A/EGFP/ Neo) vector. Negative or control plasmids were equal to above vectors.
Human MHCC-97H cell line in high glucose Dulbecco’s modified Eagle’s Medium with 10% of FBS or Hep3B cell line in MEM with 15% of FBS was cultured at 37 °C with 5% CO2. When Hep3B cells up to optimal confluence over 70% were transfected at time, the cells of blank, negative control, and TUFT1 over-expressing groups were transfected with corresponding plasmids using Lipofectamine 3000 (Invitrogen, USA) according to the manufacturer’s instructions. MHCC-97H cells were also divided into blank, negative control, and sh-TUFT1 groups. They were transfected with corresponding plasmids using polybrene (Cyagen) according to the manufacturer’s instructions.
Western blot analysis was performed as described previously[24]. Briefly, 50 µg of purified protein from transfected cells was separated on electrophoresis of 10% sodium dodecyl sulfate-polyacrylamide gel, transferred to polyvinylidene fluoride membranes (Millipore, Burlington, MA, United States), blocked in 5% of nonfat dry milk in Tris-buffered saline (pH 7.5, 100 mmol/L NaCl, 50 mmol/L Tris, 0.1% Tween-20), and incubated with anti-human TUFT1 antibodies (Abcam) overnight at 4 °C, followed by HRP conjugated immunoglobulin G (Everest Biotech, Oxford, United Kingdom). Alterations of proteins were analyzed by Quantity-one software (Bio-Rad, Laboratories, Hercules, CA, United States) with Immobilon ECL Chemiluminescence HRP Substrate (Millipore) and quantified using Gel-Pro Analyzer software.
Cell counting kit (CCK-8) was employed to evaluate HCC cell proliferation. There were three groups in the experiment: Blank, negative control, sh-TUFT1 intervention or TUFT1 over-expressing groups. Cells from different treatment groups were counted, adjusted to concentration 4 × 104/mL, and seeded in a 96-well plate with 100 μL/per well. Cells were seeded in triplicate for each group. The 96-well plate was placed in the incubator (37 °C and 5% CO2), and cells were cultured till the appropriate time. Then, 10 μL CCK-8 solution was added in each well, and the culture plate was incubated for 1-4 h. The absorbance (A) at 450 nm was detected using a plate reader.
Cell culture and experiment groups were set up as described above. Cells were cultured in a 6-well plate at about 70% confluence. Cells were aspirated and placed in a centrifuge tube, centrifuged at 1000 rpm for 5 min, rinsed with phosphate-buffered saline twice, and centrifuged again at 1000 rpm for 5 min. Cells (1 × 106) with 5 μL of Annexin V Alexa Fluor 647 staining solution were mixed in 100 μL binding buffer, collected, and placed in dark at room temperature for 10 min. Then, 400 μL binding buffer and 10 μL propidium iodide were mixed and placed in the dark at room temperature for 10 min. Fluorescent microscope observation or flow cytometry was conducted within 1 h. FL2 channel was used to detect the yellow fluorescence of propidium iodide with excitation wavelength of 488 nm. FL4 channel was used to detect the red fluorescence of Alexa Fluor 647 with emission wavelength of 640 nm. Cells without apoptotic induction were used as control for fluorescence compensation to remove spectral overlap and determine the position of cross-over.
Transwell assays were performed to examine the invasion of cells transfected with small interfering RNA that targeted TUFT1 or a scrambled negative control. Cell invasion was defined using Transwell polycarbonate membrane inserts (Millipore). Cells (1 × 105) in serum-free medium were placed into the upper chamber of an insert coated with Matrigel (TheWell Bioscience Inc., North Brunswick, NJ, United States). Medium containing 10% FBS was added to the lower chamber to stimulate invasion, and the cells remaining on the upper membrane were removed with cotton wool after cultivation for 48-72 h. Cells that had invaded through the membrane were stained with methanol and 0.1% crystal violet, imaged, and counted using an IX71 inverted microscope (Olympus, Tokyo, Japan). Each assay was repeatedly conducted three times.
To measure the logarithmic growth period, cells were seeded on plates for scratch analysis. When the cell growth density was about 90%, the scratch migration assay was performed to test cell migration. Using the ruler perpendicular to the ix-hole plate, with the 200 μL spear head along the ruler, a scratch was made, keeping strength as far as possible. A picture was taken, and the cells were allowed to continue to grow; a picture was taken every 24 h. The images were then compared, and the data analyzed.
Statistical analysis was performed by GraphPad Prism 8.0 software (GraphPad Co. Ltd., San Diego, CA, Unites States) and SPSS statistical package Version 25.0 (SPSS Inc., Armonk, NY, United States). The Student’s t test, a rank-sum test, χ2 test, and Fisher's exact probability test were used for categorical variables[25]. Cumulative survival curves of OS and DFS were calculated using the Kaplan–Meier method and compared by the log-rank test. The Cox proportional hazards model was used to determine independent factors of recurrence based on the variables selected by univariate analysis. Estimated 95% confidence intervals (CIs) with hazard ratio (HR) were combined to evaluate the prognostic and clinicopathologic values according to the Tierney method[26]. All the significant predictors of recurrence in the univariate analysis were analyzed in a logistic regression model to show an independent value at the multivariate analysis. A two-tailed value of P < 0.05 was considered statistically significant.
The comparative analysis of TUFT1 mRNA box diagrams between HCC (n = 594) and normal liver (n = 270) tissues from the bioinformatics websites are shown in Figure 1. In the Cancer Genome Atlas database (Figure 1A) from the GEPIA public website, the levels of TUFT1 mRNA expression in the HCC group were significantly higher (P < 0.05) than those in the normal group. Based on the Oncomine database (Figure 1B), the levels of TUFT1 mRNA expression in the HCC group were also significantly higher (P < 0.05) than those in the normal group. The data from online databases indicated that hepatic TUFT1 should be over-expressing status in HCC progression.
The immunohistochemistry analysis of hepatic TUFT1 expression in 132 cases of HCC and their non- HCC tissue microarray with clinical staging and prognosis is shown in Figure 2. The cellular distribution of hepatic TUFT1 expression was mainly located in cytoplasm and cell membrane. The intensity of TUFT1 staining was stronger in the HCC group (Figure 2A and A1) than that in the non-HCC group (Figure 2B and B1). The positive rate of TUFT1 in the HCC group (87.1%, 115/132) was significantly higher (χ2 = 18.563, P < 0.001) than that in the non-HCC group (64.4%, 85/132). Comparative analysis of TUFT1 expressions in the HCC or non-HCC tissues is summarized in Table 1. The significant difference (Z = 4.911, P < 0.001) of TUFT1 staining scores was found between HCC and non-HCC tissues by Z test, with higher expression in 50.0% HCC tissues (2-3 scores, 66/132), and low or no expression in 76.5% their non-HCC tissues (0-1 scores, 101/132). Regarding the relationship between TUFT1 and HCC staging (Figure 2C and D), there was lower/no TUFT1 staining in non-HCC tissues (Figure 2C1 and D1) with brown staining of TUFT1 gradually increasing from stage I to IV (Figure 2C2-5 or Figure 2D2-5).
| Group | n | TUFT1 | χ2 value | P value | TUFT1 score | Z value | P value | ||||
| Neg. | Pos. | 0 | 1 | 2 | 3 | ||||||
| HCC | 132 | 17 | 115 | 18.563 | < 0.001 | 17 | 49 | 55 | 11 | 4.911 | < 0.001 |
| Non-HCC | 132 | 47 | 85 | 47 | 54 | 23 | 8 | ||||
The clinicopathological features of TUFT1 expression in 132 HCC patients are shown in Table 2. The higher TUFT1 level was associated with tumor size, vascular invasion, HBeAg, advanced TNM stage of HCC, and ascites of patients. However, no significant difference was found between TUFT1 and age, sex, AFP level, HBV surface antigen, and Edmondson-Steiner grading. Analysis of univariate or multivariate Cox regression of TUFT1 in HCC tissues (Table 3) was significantly correlated with HBeAg, tumor size, vascular invasion, ascites, TNM stage, and AFP level with OS of patients, and further confirmed that TUFT1, tumor size, vascular invasion, ascites, and TNM stage were independent predictive factors for OS. On the contrary, TUFT1 and TNM stage should be independent prognostic factors for DFS of HCC. The OS or DFS of HCC with high or low TUFT1 was analyzed at early or advanced HCC (Figure 3A or Figure 3B). Compared to low TUFT1 group, the cases with high TUFT1 expression had significantly decreased OS and DFS, suggesting that TUFT1 should be a promoter or prognostic marker for HCC.
| Group | n | TUFT1 expression | Pearson χ2 | P value | |
| Low | High | ||||
| AFP (ng/mL) | 2.901 | 0.089 | |||
| < 20 | 28 | 18 | 10 | ||
| ≥ 20 | 104 | 48 | 56 | ||
| HBsAg | 3.300 | 0.069 | |||
| Neg. | 12 | 9 | 3 | ||
| Pos. | 120 | 57 | 63 | ||
| HBeAg | 4.080 | 0.043 | |||
| Neg. | 87 | 49 | 38 | ||
| Pos. | 45 | 17 | 28 | ||
| Tumor size (cm) | 9.388 | 0.002 | |||
| < 3 | 26 | 20 | 6 | ||
| ≥ 3 | 106 | 46 | 60 | ||
| Differentiation degree | 3.013 | 0.083 | |||
| Well-Med. | 19 | 13 | 6 | ||
| Poor | 113 | 53 | 60 | ||
| Vascular invasion | 14.885 | < 0.001 | |||
| With | 58 | 18 | 40 | ||
| Without | 74 | 48 | 26 | ||
| Ascites | 5.940 | 0.015 | |||
| With | 32 | 10 | 22 | ||
| Without | 100 | 56 | 44 | ||
| TNM staging | 13.516 | < 0.001 | |||
| I-II | 59 | 40 | 19 | ||
| III-IV | 73 | 26 | 47 | ||
| Group | Univariate analysis | Multivariate analysis | ||||
| HR | 95%CI | P value | HR | 95%CI | P value | |
| TUFT1 expression, high vs low | 3.026 | 1.927-4.752 | < 0.001 | 1.743 | 1.044-2.910 | 0.034 |
| AFP (ng/mL), ≥ 20 vs < 20 | 1.866 | 1.066-3.266 | 0.027 | 1.482 | 0.835-2.630 | 0.178 |
| HBsAg, pos. vs neg. | 1.495 | 0.652-3.431 | 0.339 | |||
| HBeAg, pos. vs neg. | 1.670 | 1.084-2.574 | 0.019 | 1.070 | 0.659-1.739 | 0.784 |
| Tumor size (cm), ≥ 3 vs < 3 | 3.680 | 1.837-7.370 | < 0.001 | 2.235 | 1.043-4.485 | 0.039 |
| Differentiation degree, Poor vs well-med. | 1.642 | 0.869-3.100 | 0.123 | |||
| Vascular invasion, with vs without | 3.297 | 2.133-5.094 | < 0.001 | 2.018 | 1.186-3.434 | 0.010 |
| Ascites, with vs without | 2.592 | 1.648-4.076 | < 0.001 | 1.929 | 1.177-3.161 | 0.009 |
| TNM staging, III-IV vs I-II | 2.411 | 1.532-3.796 | < 0.001 | 1.110 | 0.614-2.005 | 0.731 |
Screening TUFU1 and interfering TUFT1 mRNA transcription on effects of HCC cell lines are shown in Figure 4. Differential expressions of TUFT1 among different HCC cell lines were screened (Figure 4A). The relative ratio from TUFT1 to glyceraldehyde 3-phosphate dehydrogenase showed Hep3B cells with lowest and MHCC-97H cells with strongest level of TUFT1 expression (P < 0.001, Figure 4A1). Based on the status of TUFT1 expression in the MHCC-97H or Hep3B cells, the MHCC-97H cells were chosen to be used for interfering TUFT1 mRNA transcription with shRNA1-3 (Figure 4B left), and the most significantly inhibiting effect was shRNA3 (sh-3) plasmid for TUFT1 (Figure 4B1 left). The Hep3B cells were selected to over-express TUFT1 with constructed pEX-4 (pGCMV/MCS/T2A/EGFP/ Neo) plasmid (Figure 4B right) and showed markedly increasing TUFT1 expression (Figure 4B1 right). Using a different style of TUFT1 interference, the TUFT1-shRNA3 significantly suppressed proliferation of MHCC-97H cells (P < 0.001, Figure 4C), and TUFT1 activation markedly increased proliferation of Hep3B cells (P < 0.001, Figure 4D). The results confirmed that TUFT1 could promote HCC cell proliferation.
According to the above results, the effects of higher or lower level of TUFT1 on the healing, invasion, and migration of HCC cells were further observed. The effects of different TUFT1 levels on the healing, invasion, and migration of the MHCC-97H or Hep3B cells are shown in Figure 5. The healing abilities of the MHCC-97H cells transfected with the TUFT1-shRNA3 plasmid were averaged down to 50% in the sh-NC group (Figure 5A), and the healing abilities in the sh-RNA3 group were significantly inhibited compared with the sh-NC group (P < 0.001, Figure 5A1). However, the healing abilities of the Hep3B cells transfected with the over-expressing TUFT1 plasmid were averaged up to 200% in the sh-NC group (Figure 5B); and the healing abilities of the Hep3B cells were significantly improved compared with the sh-NC group (P < 0.001, Figure 5B1). Compared with the sh-NC group, the migration or invasion abilities of the MHCC-97H cells were significantly suppressed (Figure 5C); and the migration or invasion abilities of the MHCC-97H cells were down to 50% or 30% less than those in the sh-NC group (P < 0.001, Figure 5C1). However, the migration or invasion abilities of the Hep3B cells were significantly increased compared with the sh-NC group (Figure 5D); and the migration and invasion abilities of the Hep3B cells were up to 200% or 300% more than those in the sh-NC group [P < 0.001, (Figure 5D1)].
After the MHCC-97H cells were transfected with the most effective TUFT1-shRNA3 plasmid, the relationship between TUFT1 expression and apoptosis of MHCC-97H cells was determined (Figure 6). After the MHCC-97H cells were transfected with the more specific TUFT1-shRNA3 plasmid, the numbers of the apoptotic cells in the sh-TUFT1 group (Figure 6A2) were markedly increased than those in the control (Figure 6A) or sh-NC groups (Figure 6A1). The ratio of the apoptotic cells in the sh-TUFT1 group was significantly higher (P < 0.001, Figure 6B) than those in the control or sh-NC groups.
Speculations based on the above data and the possible mechanism of TUFT1 promoting the progression of HCC are shown in Figure 6C. Aberrant up-regulating or down-regulating expressions of TUFT1 was associated with the biological features of HCC. Increased hepatic TUFT1 expression promoted the proliferation, growth, and metastasis of HCC by inhibiting tumor cell apoptosis.
Carcinogenesis of hepatocytes is a multi-factor, multi-step, and complex process with major risk factors including chronic infections with HBV or hepatitis C virus, exposure to dietary toxin, hereditary liver disease, and non-alcoholic fatty liver disease of any etiology[2,27]. Despite the urgent need for molecular targeted anti-HCC agents, the therapeutic strategies are difficult to be identified. Accumulating data have demonstrated that many kinds of abnormal signaling pathways are associated with HCC by interacting with highly complex genetic aberrations such as abnormal methylation, histone modification, and chromosome remodeling[28]. Recently, TUFT1 has been shown to exist in many tissues and has been identified as a useful biomarker associated with poor prognosis in several cancers[29-31]. However, only limited studied were available on the relationship between TUFT1 and HCC. In this study, the alterations of TUFT1 expression in HCC tissues and if the oncogenic TUFT1 might promote HCC growth and metastasis via an anti-apoptotic mechanism were investigated.
TUFT1 was originally discovered and mostly studied in the tooth, where it plays an important role in the initial stages of the mineralization of ectodermal enamel[12,29]. Even though TUFT1 is widely distributed and expressed in different embryonic and adult tissues, TUFT1 has been shown to be associated with cellular adaptation to hypoxia and recently even with cell differentiation[32]. TUFT1 activation is related to the progression of tumors, and abnormal TUFT1 has been reported in breast, lung, pancreatic, and thyroid carcinomas[10,11,13]. TUFT1 expression was significantly higher in the HCC tissues than in non-HCC tissues, with invasion and metastasis of tumors[14]. In this study, the comparative analysis of TUFT1 in HCC and non-HCC tissues showed high TUFT1 expression related to tumor size, vascular invasion, advanced TNM stage of HCC, and HBV replication or ascites formation of HCC patients, suggesting that abnormal TUFT1 activation could play oncogenic roles in the progression of HCC.
TUFT1 expression in tissue hypoxia was associated with activations of signaling pathways and poor outcome of patients[18,19]. Previous studies have indicated high HIF-1α level in the hypoxic microenvironment of HCC[33,34] because of tissue hypoxia inducing HIF-1α expression and binding to TUFT1 promoter, thereby promoting tumor progression via the activation of the Rac1/β-catenin, mitogen activated protein kinase, calcium/phosphatidylinositol 3 kinase/AKT, Akt- mammalian target of rapamycin/glycogen synthase kinase 3β, and HIF1-SNAIL signaling pathway[11,14,18]. In this study, TUFT1 level was shown to be positively correlated with tumor size, histological grade, and lymph node metastasis rate, and elevated TUFT1 levels were related to unfavorable clinicopathologic characteristics and poor survival. Furthermore, the univariate and multivariate analysis of clinical data indicated that TUFT1 could be an independent prognostic marker for HCC.
The levels of inhibiting or expressing TUFT1 might alter the biological features of HCC cells[12,23]. In this study, evidence from different cell line studies in vitro suggested that the higher or lower TUFT1 level could affect the biological behaviors of HCC cells. The MHCC-97H cells with high TUFT1 expression were transfected with the specific interfering shRNA3 plasmid, and the proliferation, healing, invasion, and migration abilities of the cells were significantly inhibited less than those in the sh-NC group. However, the Hep3B cells with low TUFT1 expression were transfected with the over-expressing TUFT1 plasmid, and those abilities of the cells were significant increased compared to those in the sh-NC group. These results have confirmed that TUFT1 could promote the growth and metastasis of HCC cells in vitro via an anti-apoptosis mechanism, suggesting that TUFT1 might function as a potential therapeutic target for inhibiting HCC growth.
In conclusion, high TUFT1 levels based on human specimen studies were associated with HCC progression. Further inhibiting TUFT1 in vitro could significantly alleviate the proliferation and metastasis of HCC cells. Moreover, TUFT1 over-expression could promote the proliferation and metastasis of HCC cells in vitro. Furthermore, TUFT1 inhibition led to significant changes of cell apoptosis rate. More studies in future are needed to clarify the molecular mechanisms underlying the TUFT1 up-regulation contribution to the progression of HCC. However, high expression of TUFT1 could be considered as a novel effective molecular target for inhibiting HCC growth.
Tuftelin 1 (TUFT1) has been reported to be elevated in multiple cancer types, and its abnormal expression has attracted medical attention as a novel oncogenic biomarker. However, the relationship between TUFT1 and hepatocellular carcinoma (HCC) remains to be identified. In this study, the levels of TUFT1 in HCC tissues were investigated and the roles of TUFT1 expression were explored in vitro by intervening in TUFT1 activation of HCC cell lines.
TUFT1 was first identified and sequenced from a bovine ameloblast-enriched complementary DNA library with a highly conserved gene localized in chromosome 1q21-31 that contained 13 exons, encoding an acidic, phosphorylated glycoprotein of 390 amino acids, and it plays a critical role in the development and mineralization of enamel. Recently, TUFT1 has been reported to be elevated in multiple cancers, and abnormal TUFT1 has attracted medical attention for HCC. However, limited data is available on the relationship between TUFT1 and HCC, and the exact biological mechanism of TUFT1 is still poorly understood in HCC.
The pathogenesis and feasible therapeutic treatments of HCC need urgent investigation. Abnormal TUFT1 has been reported in multiple cancers, and it exhibits oncogenic roles in tumor progression. In this study, the landscape of TUFT1 expression in human HCC tissues was investigated, and its mechanism was confirmed through intervening or over-expressing TUFT1 activation in vitro.
TUFT1 on databases of the Cancer Genome Atlas and Oncomine or in HCC tissues were analyzed for clinicopathological features, overall survival, and disease-free survival. High and low expressing HCC cell lines were screened among different HCC cell lines and transfected with constructed vectors that interfere or over-express TUFT1 to analyze biological behaviors. Proliferation, invasion, migration, and apoptosis of cells were detected by CCK-8, scratch assay, transwell tests, and flow cytometry, respectively, and confirmed by Western blotting.
The research results confirmed that TUFT1 was over-expressed in HCC tissues, and its expression was significantly related to tumor size, vascular invasion, positive hepatitis B e-antigen, advanced tumor-node-metastasis staging, ascites, shorter overall survival, and disease-free survival of HCC patients. Novel findings were that interfering with TUFT1 gene transcription could markedly suppress the proliferation and metastasis of the higher TUFT1 MHCC-97H cell lines through an apoptosis mechanism. Moreover, over-expressing TUFT1 promoted the growth and metastasis of the lower TUFT1 Hep3B cell lines in vitro.
Based on human specimen studies, high TUFT1 levels were associated with HCC progression, inhibiting TUFT1 affected proliferation and metastasis, over-expressing TUFT1 promoted proliferation and metastasis, and interfering activation of TUFT1 led to significant increase in cell apoptosis. TUFT1 could be a novel useful target for HCC effective therapy.
Basic and clinical studies have confirmed that the alterations of oncogenic TUFT1 expression might promote HCC growth and metastasis via an anti-apoptotic mechanism, and abnormal TUFT1 level could be a new prognostic marker or potential molecular target for HCC therapy. More studies in the future are needed to clarify the molecular mechanisms underlying TUFT1 up-regulation contribution to the progression of HCC.
All authors thank Professor Zhi-Zhen Dong of Nantong University for comments on earlier drafts of the manuscript.
Manuscript source: Unsolicited manuscript
Corresponding Author's Membership in Professional Societies: Chinese Society of Gastroenterology, No. 1006110078.
Specialty type: Oncology
Country/Territory of origin: China
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P-Reviewer: Kanda T, Zapater P S-Editor: Wang JL L-Editor: Filipodia P-Editor: Wang LL
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