Abstract
Background: The Abelson-Related Gene (ABL2) is expressed in various malignancies. However, its role in gastric cancer (GC) regarding tumor proliferation, metastasis, and invasion remains unclear.
Methods: ABL2 expression in clinical specimens was assessed using quantitative real-time fluorescence PCR (qRT-PCR). Western blotting and immunofluorescence assay determined protein levels. Additionally, Transwell migration and invasion, cell counting kit-8 (CCK-8) and colony-formation assays analyzed the effect of ABL2 on GC cells. Protein levels related to GC cells were assessed through Western blotting. The effects of si-ABL2 combined with GA-017 that activated YAP on cell migration, invasion and proliferation were investigated.
Results: ABL2 expression was upregulated in human GC tissues compared to paracancer tissues, and it was positively related to tumor node metastasis classification (TNM) stage. Furthermore, high ABL2 levels promoted the proliferation, metastasis, and invasion capacity in GC cells. Elevated ABL2 expression enhanced the expression of MMP2, MMP9, and PCNA while decreasing TIMP1 and TIMP2 expression. It also increased the p-SMAD2/3 expression and YAP expression, decreased the expression of p-YAP in GC cells. Furthermore, GA-017 increased ABL2 expression in MGC-803 cells and counteracted the effects of si-ABL2 on cell migration, invasion and proliferation.
Conclusion: These findings indicated that heightened ABL2 expression could activate TGF-β/SMAD2/3 and YAP signaling pathway, promoting epithelial mesenchymal transformation (EMT), and enhancing multiplication, metastasis, and invasion in GC cells.
Keywords: gastric cancer, ABL2, epithelial mesenchymal transformation, proliferation, metastasis, invasion.
1. Introduction
Gastric cancer (GC) stands as the third most lethal malignancy globally, while ranking fifth in frequency 1, 2. Its multifactorial and complex nature involves regional environmental and dietary factors. Notably, Helicobacter pylori (H. pylori) infection, race, ethnicity, age and sex are all risk factors associated with GC risk 3, 4. Therefore, investigating the molecular mechanism driving GC progression offers a new avenue for advancing its diagnosis and treatment.
The ABL family genes, particularly non-receptor tyrosine kinases ABL1 (c-ABL) and ABL2 (Arg), play an essential role in various biological processes, including cell proliferation and division 5-7. Similarly, Zhang Y et al. reported that ABL2 was upregulated in cervical cancer (CC) tissues. Additionally, reduced ABL2 expression decreased the migration and invasion capabilities of HepG2 cells, with the mediation of circ_0000263/miR-117 targeting ABL2 implicated in CC progression 6. Qin X et al. found that ABL2 downregulation had tumor-suppressive effects on cervical carcinoma proliferation and migration 8. Research indicated an increase in ABL2 levels in renal cell carcinoma (RCC) samples, with higher ABL2 expression correlating with poorer RCC overall survival in the TCGA database for patients with RCC 9. Elevated ABL2 expression has been associated with the inhibition of cell apoptosis in GC 10. These suggested that ABL2 usually acts as a cancer-promoting gene in cancers, including GC, CC and RCC. Nevertheless, there are no relevant reports on whether ABL2 regulates metastasis, invasion and proliferation of GC cells.
Transforming growth factor-β (TGF-β)/SMAD signaling pathway is considered in inducing EMT and metastasis in GC cells 11-13. Also, YAP was expressed in gastric adenocarcinoma tissues, elevating with the ascending order of tumor malignancy, which was associated with the proliferation and metastasis of GC cells 14, 15. The role of TGF-β and YAP signaling pathways in the regulation of metastasis, invasion and proliferation of GC cells by ABL2 has not been studied. Therefore, this study aims to elucidate the function of ABL2 in GC specifically focusing on its impact on cell proliferation, migration, and invasion through the YAP signaling pathway.
2. Material and methods
2.1 Human tumor tissues
We collected 36 tissue samples from 36 patients with GC from the Affiliated People's Hospital, Jiangsu University. In this study, paracancer tissues refer to the tissue located 2 cm away from the tumor edge. We obtained both GC tissues (T) and corresponding paracancer tissues (P) for analysis. The participants were randomly selected from individuals with confirmed GC diagnoses. The following inclusion criteria were used: (1) patients who did not undergo any form of anti-tumor therapy such as radiotherapy and chemotherapy before surgery; (2) patients with a confirmed GC diagnosed through pathological diagnosis. The exclusion criteria were as follows: (1) presence of a family history of GC; (2) prior radiotherapy and chemotherapy; (3) metastasis from other malignant tumors. All participants provided informed consent, and the study was approved by the Ethics Committee of the Jiangsu University (Zhenjiang, China) in May 2017 (K-20170105-Y). The GC patients included 13 females and 23 males; the median age of patients was 69.31 ± 7.179 years. Detailed clinicopathological data of these GC patients are shown in Table 1.
Table 1.
Case | High (n=18) | Low (n=18) | P value | |
---|---|---|---|---|
Gender | 0.2979 | |||
Male | 23 | 13 | 10 | |
Female | 13 | 5 | 8 | |
Age | 0.6026 | |||
≤60 | 4 | 3 | 1 | |
>60 | 32 | 15 | 17 | |
Tumor size | 0.3166 | |||
≤5 | 19 | 8 | 11 | |
>5 | 17 | 10 | 7 | |
Differentiation | 0.2979 | |||
Poor | 13 | 8 | 5 | |
Moderate+High | 23 | 10 | 13 | |
LNM | ||||
Yes | 21 | 12 | 9 | 0.3105 |
No | 15 | 6 | 9 | |
TNM | ||||
Ⅰ+Ⅱ | 17 | 5 | 12 | 0.0194* |
Ⅲ+Ⅳ | 19 | 13 | 6 | |
Distance metastasis | ||||
Yes | 17 | 11 | 6 | 0.0951 |
No | 19 | 7 | 12 | |
*P<0.05 |
2.2 Cell culture
We obtain human undifferentiated GC cell lines HGC-27 and the normal human gastric epithelial cells GES-1 from the Cell Bank of the Chinese Academy of Sciences (Shanghai, China). Human gastric poorly differentiated mucoid adenocarcinoma derived cells MGC-803 cells were obtained from the American Type Culture Collection (ATCC, Manassas, VA). Cells were cultured in RPMI 1640 medium (Gibco, Thermo Fisher Scientific) supplemented with 10% FBS (Gibco, Thermo Fisher Scientific, Waltham, MA) and maintained at 37°C in a 5% CO2 atmosphere-involving.
2.3 Overexpression vector, small interfering RNA, and cell transfection
Si-ABL2 (si-ABL2-1: sense: 5'-GCAGUAGUCCAGAAGCUUUTT-3', antisense: 5'-AAAGCUUCUGGACUACUGCTT-3'; si-ABL2-2: 5'-GCUGGAGCCAAAUUUCCUATT-3', antisense: 5'-UAGGAAAUUUGGCUCCAGCTT-3') and negative control (NC) were designed by Gene pharma Biotechnology (Suzhou, China). Cell transfection used with LipofectamineTM 2000 (Thermo Fisher Scientific lnc., USA) and performed following the manufacturer's instructions. The Arg Lentiviral Activation Particles (sc-417779-LAC) and vector particles were obtained from Santa Cruz (Santa Cruz Biotechnology, Santa Cruz, CA, USA). Then, 1×104 HGC-27 cells were seeded into 24-well cell culture plate; next day, the Arg Lentiviral Activation Particles and vector particles infected HGC-27 cells with multiplicity of infection = 25. Additionally, protamine sulfate salt from salmon (also called salmine) was obtained from Sigma-Aldrich (Hong Kong, China) and used as a substitute for polybrene to facilitate the lentivirus infection process. Furthermore, puromycin (Biosharp, Hefei, China) was used for the selection of HGC-27 cells stably over-expressing ABL2.
2.4 RNA extraction and quantitative real-time polymerase chain reaction (qRT-PCR) analysis
Total RNA was extracted from tissue samples using TRIzol Reagent (Invitrogen, Life Technologies Corporation), according to the manufacturer's protocol. RNA was reverse transcribed using HiScript QRT SuperMix from the qPCR Kit (Vazyme, Nanjing, China). qRT-PCR amplification was conducted using TransStart Top Green qPCR Super Mix (TRAN, China) on an ABI Step One Plus Real-Time PCR System (Applied Biosystems, Foster City, CA, USA). Data was analyzed using the 2-ΔΔCT method and normalized using GAPDH expression in each sample.
2.5 Western blotting assay
Cellular and tissue protein extraction was performed using 1% phenylmethanesulfonyl fluoride (PMSF)-containing buffer for radioimmunoprecipitation (RIPA) assay (Beyotime Biotechnology, Shanghai, China). Protein concentration was determined using a Nandrop1000 spectrophotometer (Thermo Fisher, USA). Subsequently, 20 μg of the cell proteins were separated on 10-well SDS-PAGE gels, and 120 μg of proteins were separated on 15-well gels, followed by an electrophoretic transfer onto PVDF membranes. Following this, membranes were blocked with dry skimmed milk (5%), and primary antibodies were incubated overnight at 4°C (Table 2). The following day, membranes were incubated for an additional 1 h with HRP-conjugated anti-rabbit IgG (H+L) goat secondary antibodies (Fcmcs, Nanjing, China) at ambient temperature. After three washes, an enhanced chemiluminescence system (Image Quant LAS 4000) was used to visualize the membranes. All assays were performed in triplicates. Image J software was used to quantitatively analyze the protein bands.
Table 2.
Antibody | company | catalogue | dilution ratio |
---|---|---|---|
ABL2 | Abcam Co., LTD, Cambridge, UK | ab134134 | 1:1000 |
GAPDH | Cell Signaling Technology, lnc, Boston, USA | 5174S | 1:1000 |
N-Cadherin | Shenyang Wanlei Biotechnology Co., LTD, China | WL01047 | 1:500 |
E-Cadherin | Shenyang Wanlei Biotechnology Co., LTD, China | WL01482 | 1:500 |
Snail | Shenyang Wanlei Biotechnology Co., LTD, China | WL01863 | 1:750 |
TIMP2 | Shenyang Wanlei Biotechnology Co., LTD, China | WL01209 | 1:750 |
TIMP1 | Shenyang Wanlei Biotechnology Co., LTD, China | WL02342 | 1:750 |
MMP2 | Shenyang Wanlei Biotechnology Co., LTD, China | WL03224 | 1:300 |
MMP9 | Shenyang Wanlei Biotechnology Co., LTD, China | WL03096 | 1:750 |
PCNA | Shenyang Wanlei Biotechnology Co., LTD, China | WL03213 | 1:400 |
p-YAP | Cell Signaling Technology, lnc, Boston, USA | 4911s | 1:800 |
YAP | Cell Signaling Technology, lnc, Boston, USA | 4912s | 1:800 |
P-SMAD2/3 | Shenyang Wanlei Biotechnology Co., LTD, China | WL02305 | 1:500 |
SMAD2/3 | Shenyang Wanlei Biotechnology Co., LTD, China | WL01520 | 1:750 |
TGF-β1 | Shenyang Wanlei Biotechnology Co., LTD, China | WL02998 | 1:750 |
2.6 Transwell migration and invasion assay
Eight-μm-pore size Costar Transwell chambers (Corning, Costar, NY, USA) were used to analyze the cell migration and invasion ability. For cell migration assay, the upper compartments were filled with serum-free medium (200 μL) containing 2×104-5×104 cells, while the lower compartments were filled with a 10% FBS-containing medium (600 μL). Cells were incubated at 37°C in a 5% CO2 atmosphere for 24 hours, fixed with 4% paraformaldehyde, and stained with crystal violet. After imaging, cell counting was performed using an optical microscope (Olympus, Germany) in five random areas of transwell chambers. Before cell invasion assay, Corning BioCoat Matrigel was diluted eightfold with serum-free medium, and 40 μL was added to the upper chamber, which was then solidified at 37°C for 30 min, other experimental procedures are the same as cell migration assay.
2.7 The colony-formation and cell proliferation assay
The assays were performed using CCK-8 (Tongren, Shanghai, China) and colony-formation kits to assess the impact of ABL2 on the proliferation capacity of MGC-803 cells and HGC-27 cells. A 1000 transfected cells and NC cells were seeded into 96-well plates. The next day, each well was treated with CCK-8 solution (10 μL) and incubated for 1 h. A microplate reader was used for absorbance (450 nm) measurements at different times (continuous testing for three days). Another 1000 cells were seeded in six-well plates and cultured at 37°C in a 5% CO2 atmosphere. Medium (10% FBS) was replaced every three days until visible cell clones formed in six-well plates after 10-14 days. The cell clones were then fixed with paraformaldehyde (4%) fixation and stained with crystal violet.
2.8 Immunofluorescence assay
The cells were seeded on glass coverslips and then cultured at 37°C in a humidified incubator with 5% CO2 for 24 h. Subsequently, the cells were fixed with 4% paraformaldehyde for 30 min at room temperature. Cell membranes were permeabilized with 0.5% TritonX-100 (Sigma-Aldrich) for 20 min at room temperature and blocked with 5% bovine serum albumin (BSA) for 30 min. Glass coverslips were incubated with primary antibodies overnight at 4°C. The following day, the slides were washed and incubated with FITC-labeled Goat Anti-Rabbit IgG (H+L) (Beyotime, Guangdong, China) diluted at 1:300 at room temperature for 30 min. Finally, the slides were stained with 1µg/ml Hoechst 33258 nuclear stain (Sigma-Aldrich, Hong Kong, China) for 5 min at room temperature and mounted with Antifade Mounting Medium (Beyotime). Images were acquired using confocal laser scanning microscopy.
2.9 Statistical analysis
The GraphPad Prism 8.2 statistical software (La Jolla, USA) was used for statistical analysis. The independent t-test was used for comparisons among groups. CCK-8 results were analyzed using a Two-way ANOVA test. The correlation between the expression level of ABL2 and clinicopathological parameters in GC tissues was analyzed using Pearson's chi-squared test and Fisher's exact test. Each experiment was repeated thrice. A P-value < 0.05 was considered statistically significant.
3. Results
3.1 ABL2 is highly expressed in GC tissues and cells
To evaluate the role of ABL2 in GC processing, we first investigated ABL2 expression level in the GC tissues. Our qRT-PCR analysis revealed high ABL2 expression in GC tissues that compared to paracancer tissues (Fig.1A), and ABL2 expression was closely associated with TNM stage, but no significant difference between sex, age tumor size, differentiation, lymph node metastasis (LNM) and distance metastasis (Table 1). Western blotting assay results shown that ABL2 expression increased in five out of nine GC patient tissues (Fig. 1B and C). In addition, to determine the expression of ABL2 in gastric mucosal cells, we using normal human gastric epithelial cells (GES-1 cells), human undifferentiated GC cell line (HGC-27), and human gastric poorly differentiated mucoid adenocarcinoma derived cells (MGC-803 cells), detected ABL2 expression level in the different cell line or cells. As shown in Fig.1D, ABL2 expression was particularly higher in MGC-803 cells and lower in HGC-27 cells.
Next, we tried to investigate down or up regulation of ABL2 expression, two siRNAs (si-ABL2-1 and si-ABL2-2) were used to knock down ABL2 expression in the MGC-803 cells and the Arg Lentiviral activation Particles was used to manipulate the expression level of ABL2 in HGC-27 cells. The expression of ABL2 was knocked by transfecting both of si-ABL2-1 and si-ABL2-2 in MGC-803 cells (Fig.1E). ABL2 expression level significantly enhanced by using Arg Lentiviral activation Particles to overexpress that compared to vector particles-infected HGC-27 cells (Fig.1F). Taken together, these data indicate that ABL2 is highly expressed in GC tissues and cell lines, the ABL2 expression level was downregulated by si-RNA, or upregulated by Arg Lentiviral activation Particles for overexpression.
3.2 ABL2 expression influenced cell proliferation, migration, and invasion in vitro
To determine whether ABL2 expression level contribute to cell proliferation, migration, and invasion in vitro, we performed Transwell migration and invasion assays, colony-formation and CCK-8 assays in MGC-803 and HGC-27 cells. The results demonstrated that ABL2 knockdown significantly reduced the number of migrated and invaded MGC-803 cells (Fig. 2A and B). The colony-formation assay revealed that ABL2 knockdown resulted in the formation of smaller and fewer clones (Fig. 2C). The CCK-8 assay found that knockdown of ABL2 decreased the OD450 value of GC cells compared to control cells, with an effect on cell growth starting on the third day for MGC-803 cells (Fig. 2D). Conversely, overexpression of ABL2 in HGC-27 cells promoted cell migration and invasion (Fig. 2E and F), increased cell proliferation (Fig. 2G), with high expression influencing cell growth in days 4 and 5 (Fig. 2H).
3.3 ABL2 expression level related to cell proliferation, migration and epithelial mesenchymal transformation (EMT)
Cadherins are membrane-spanning glycoproteins that couple cell-cell adhesion to the cytoskeleton and play an important role in tissue homeostasis. Different expressions of E-cadherin or N-cadherin related to human cancers as well as in animal models. Loss of E-cadherin expression during EMT is associated with tumor development 16, 17. Snail plays an important role in embryonic development and cancer progression as a key transcriptional repressor of E-cadherin expression in EMT 18. Therefore, we asked whether ABL2 knockdown might alter E-cadherins, N-cadherins, or Snail expressions that are closely connected with tumorigenesis during EMT. We found that in MGC-803 cells, ABL2 knockdown increased E-cadherin expression and reduced N-cadherin and Snail expressions (Fig. 3A). Conversely, the mesenchymal markers, N-cadherin and Snail were increased in the OE-ABL2 group, whereas the epithelial marker E-cadherin was significantly decreased (Fig. 3B). Thus, these findings suggest that ABL2 overexpression promotes EMT in GC cells in vitro.
In addition, matrix metalloproteinases (MMPs) are part of the endopeptidase family and can cleave the majority of components of the extracellular matrix, playing significant roles in the metastasis of malignant tumors 19, 20. Upregulation of MMPs and downregulation of their tissue inhibitors, also named Tissue inhibitor of metalloproteinases (TIMPs), have a close relationship with the invasiveness and metastasis of cancer cells 21. We further explored whether ABL2 influenced the expression of MMPs and TIMPs to regulate cell metastasis and invasion ability. As shown in Fig. 3C, MMP9, MMP2, and PCNA expression were significantly reduced in MGC-803 cells transfected with si-ABL2 to the control cells. TIMP-1 and TIMP-2 expressions were increased. Furthermore, compared to the control cells, MMP-9, MMP-2, and PCNA expressions increased in the OE-ABL2 group of HGC-27 cells, while TIMP-1 and TIMP-2 expressions significantly decreased (Fig. 3D). This suggests that ABL2 expression influences GC cell proliferation and migration-related protein expression in vitro.
3.4 ABL2 induced GC cell migration, invasion, and proliferation through the TGF-β/SMAD2/3 and YAP signaling pathway
The TGF-β/ SMAD2/3 signaling pathway can affect the metastasis of GC cells 12, 13, and the YAP signaling pathway can affect the ability of metastasis and proliferation of GC cells 15. Thus, we examined TGF-β1, SMAD2/3 and its phosphorylated protein (p-SMAD2/3), as well as YAP and its phosphorylated protein (p-YAP) in GC cells to explore their potential involvement in ABL2-mediated EMT, cell migration and invasion, and proliferation. As shown in Fig. 4B, HGC-27 cells displayed no significant change in SMAD2/3, whereas p-SMAD2/3 increased in the OE-ABL2 group HGC-27 cells compared to the control cells. Additionally, the expression of TGF-β1 increased significantly. In addition, it is speculated that the Hippo signaling pathway plays a significant role in these processes. The level of YAP increased while that of p-YAP decreased in HGC-27 cells overexpressing ABL2 (Fig. 4B). Moreover, knockdown of ABL2 in MGC-803 cells resulted in reduced expressions of TGF-β1, p-SMAD2/3, and YAP, while increasing p-YAP expression (Fig. 4A). Immunofluorescence analysis also revealed that knockdown of ABL2 in MGC-803 cells decreased YAP and p-SMAD2/3 expression but increased p-YAP expression (Fig. 4C and D).
Furthermore, GA-017, which promotes YAP/TAZ activation and nuclear translocation, was observed to increase ABL2 expression in MGC-803 cells (Fig.5A). Other assays also revealed that GA-017 can reverse the effects of si-ABL2 on the biological behaviors of MGC-803 cells, such as proliferation, metastasis, and invasion (Fig. 5B-D). It was found that knock down ABL2 has a significant effect on cell grown ability on day 3, 4 and 5, however, GA-017 reversed this effect on day 3, 4 and 5 (Fig. 5E). Collectively, these findings suggest that high ABL2 levels may enhance GC cell migration, invasion, and proliferation by mediating the YAP signaling pathway.
4. Discussion
The role and specific implications of ABL2 in GC remain ambiguous despite its investigation in other tumors. Previous studies have delved into ABL2's involvement in GC cell apoptosis, and regulatory mechanisms such as circPGD/miR-16-5p mediation of ABL2 expression 10, 22, its effect on migration, invasion, and proliferation in GC cells has not been thoroughly investigated. In this study, the expression of ABL2 increased in GC tissues and cell lines, and positively correlated TNM stage of GC patients. We observed significant differences in the expression of ABL2 in different patients with GC, which may be attributed to cancer types, H.pylori infection, and lymph node metastasis. Therefore, it is crucial to continue collecting and analyzing samples from patients with GC to comprehensively understand ABL2's relation to cancer types or other parameters. High ABL2 expression in HGC-27 cells significantly promoted cell migration, invasion, and proliferation; meanwhile, ABL2 knockdown in MGC-803 cells inhibited these processes.
Moreover, abnormally expressed ABL2 regulates MMP9, MMP2, TIMP1, TIMP2 and PCNA expressions, consequently modulating the migration, invasion, and proliferation of the GC cell lines. EMT plays an essential role in the metastasis and progression of cancer cells; it is a complex biological process wherein cells lose their differentiated epithelial-like state and gain a more mesenchymal-like phenotype. Increased mesenchymal-like phenotype is the early-stage change of cancer 23, 24. E-Cadherin is a predominant epithelial cell marker. Notably, N-Cadherin, Snail, and Vimentin are increased in cancer cells and act as tumor markers 25-27. In the present study, the overexpression of ABL2 upregulated N-Cadherin and Snail but downregulated E-Cadherin in HGC-27 cells. However, further analysis is required to understand the correlation between mesenchymal-epithelial transition and ABL2 in GC cells and to comprehensively explore the role of ABL2 in the metastasis of GC cells.
The TGF-β signaling pathway plays a pivotal role in regulating cell growth, differentiation, motility, invasion, and development in various biological systems 28, 29. Previous studies have demonstrated that the YAP signaling pathway is a vital growth regulator of cell proliferation and apoptosis, further evidenced by the mosaic screens in Drosophila melanogaster 30-32. In this study, our observation led us to speculate that ABL2 could regulate GC cell biology through the TGF-β1 and YAP signaling pathways. Herein, the knocking down of ABL2 distinctly inhibited GC cell migration, proliferation, and EMT; conversely, high ABL2 led to the opposite effects. Similarly, the levels of TGF-β1, p-SMAD2/3, and YAP were enhanced in ABL2 overexpressed HGC-27 cells but decreased in MGC-803 cells with knocked-down ABL2 expression.
The main limitation of this study was the inclusion of a small number of patients. Although the preferred treatment of GC in the referral tertiary center is surgery, numerous patients were initially treated with radiation therapy or chemotherapy. Thus, larger cohorts of patients including randomized clinical trials would be essential in understanding the true relevance of these biomarkers in the diagnosis, treatment, and prognosis of GC. Furthermore, analysis using the TGF-β1 signaling pathway-related inhibitor or inducer could provide deeper insights into ABL2's role in promoting GC progression.
The strong expression of ABL2 has been shown to promote GC cell proliferation, migration, and invasion through mediation by the YAP signaling pathway. This suggests its potential as a diagnostic and therapeutic indicator for patients with GC.
Acknowledgments
Thanks to Beijing EditorBar for their language improving service.
Funding
This work was supported by Jiangsu Funding Program for Excellent Postdoctoral Talent (Grant No. 2023ZB180), Postdoctoral Fellowship Program of CPSF (Grant No. GZC20230992) and Science, Technology Planning Social Development Key Project of Zhenjiang City (Grant No. SH2022101).
Author contributions
Yun Liu: Conceptualization, Methodology, Data curation, Formal analysis, Funding acquisition, Writing - original draft. Tao Jin: Methodology, Data curation, Formal analysis. Ruiyun Chen: Methodology, Data curation, Formal analysis. Renjie Miao: Methodology, Funding acquisition. Yong Zhou: Methodology, Writing - original draft. Shihe Shao: Conceptualization, Resources, Project administration, Supervision, Writing - review & editing.
Data availability
The datasets used and/or analyzed during the current study are available from the corresponding author on reasonable request.
Ethical statement
All participants signed an informed consent and the experimentation was approved by the Ethics Committee of the Jiangsu University (Zhenjiang, China) in May 2017 (K-20170105-Y). All the methods included in this study are in accordance with the declaration of Helsinki.
Consent for publication
All authors approved the final manuscript and the submission to this journal.
Abbreviations
- GC
gastric cancer
- ABL2
abelson-related gene
- qRT-PCR
quantitative real-time fluorescence PCR
- CCK-8
cell counting kit-8
- TNM
tumor node metastasis classification
- TGF-β
transforming growth factor-β
- EMT
epithelial mesenchymal transformation
- H.pylori
Helicobacter pylori
- CC
cervical cancer
- RCC
renal cell carcinoma
- PMSF
phenylmethanesulfonyl fluoride
- RIPA
radio immunoprecipitation
- LNM
lymph node metastasis
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(3):209–49. doi: 10.3322/caac.21660. [DOI] [PubMed] [Google Scholar]
- 2.Wang S, Zheng R, Li J. et al. Global, regional, and national lifetime risks of developing and dying from gastrointestinal cancers in 185 countries: a population-based systematic analysis of GLOBOCAN. Lancet Gastroenterol Hepatol. 2024;9(3):229–37. doi: 10.1016/S2468-1253(23)00366-7. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 3.Hedayatizadeh-Omran A, Alizadeh-Navaei R, Janbabaei G. et al. Association of P53 gene polymorphism with gastric cancer in Northern Iran as a high-risk region. Biomed Rep. 2018;8(5):433–8. doi: 10.3892/br.2018.1070. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 4.Alagesan P, Goodwin JC, Garman KS. et al. Cancer Progress and Priorities: Gastric Cancer. Cancer Epidemiol Biomarkers Prev. 2023;32(4):473–86. doi: 10.1158/1055-9965.EPI-22-0994. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 5.Jones JK, Zhang H, Lyne AM. et al. ABL1 and ABL2 promote medulloblastoma leptomeningeal dissemination. Neurooncol Adv. 2023;5(1):vdad095. doi: 10.1093/noajnl/vdad095. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 6.Zhang Y, Di Q, Chen J. et al. Circ_0000263 facilitates the proliferation and inhibits the apoptosis of cervical cancer depending on the regulation of miR-1179/ABL2 axis. Reprod Sci. 2022;29(9):2636–46. doi: 10.1007/s43032-022-00920-3. [DOI] [PubMed] [Google Scholar]
- 7.Wang J, Pendergast AM. The Emerging Role of ABL Kinases in Solid Tumors. Trends Cancer. 2015;1(2):110–23. doi: 10.1016/j.trecan.2015.07.004. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 8.Qin X, Wan Y, Wang S. et al. MicroRNA-125a-5p modulates human cervical carcinoma proliferation and migration by targeting ABL2. Drug Des Devel Ther. 2015;10:71–9. doi: 10.2147/DDDT.S93104. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 9.Xu B, Wang C, Wang YL. et al. miR-143 inhibits renal cell carcinoma cells metastatic potential by suppressing ABL2. Kaohsiung J Med Sci. 2020;36(8):592–8. doi: 10.1002/kjm2.12207. [DOI] [PubMed] [Google Scholar]
- 10.Liu Y, Shao C, Zhu L. et al. High Expression of ABL2 Suppresses Apoptosis in Gastric Cancer. Dig Dis Sci. 2018;63(9):2294–300. doi: 10.1007/s10620-018-5111-7. [DOI] [PubMed] [Google Scholar]
- 11.Zhang Y, Zheng W, Zhang L. et al. LncRNA FBXO18-AS promotes gastric cancer progression by TGF-β1/Smad signaling. Eur J Histochem. 2023;67(2):3667–76. doi: 10.4081/ejh.2023.3667. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 12.He Z, Dong W, Li Q. et al. Sauchinone prevents TGF-β-induced EMT and metastasis in gastric cancer cells. Biomed Pharmacother. 2018;101:355–61. doi: 10.1016/j.biopha.2018.02.121. [DOI] [PubMed] [Google Scholar]
- 13.Song C, Zhou C. HOXA10 mediates epithelial-mesenchymal transition to promote gastric cancer metastasis partly via modulation of TGFB2/Smad/METTL3 signaling axis. J Exp Clin Cancer Res. 2021;40(1):62–77. doi: 10.1186/s13046-021-01859-0. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 14.Yan C, Yang H, Su P. et al. OTUB1 suppresses Hippo signaling via modulating YAP protein in gastric cancer. Oncogene. 2022;41(48):5186–98. doi: 10.1038/s41388-022-02507-3. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 15.Zhang J, Xu ZP, Yang YC. et al. Expression of Yes-associated protein in gastric adenocarcinoma and inhibitory effects of its knockdown on gastric cancer cell proliferation and metastasis. Int J Immunopathol Pharmacol. 2012;25(3):583–90. doi: 10.1177/039463201202500304. [DOI] [PubMed] [Google Scholar]
- 16.Pal M, Bhattacharya S, Kalyan G. et al. Cadherin profiling for therapeutic interventions in Epithelial Mesenchymal Transition (EMT) and tumorigenesis. Exp Cell Res. 2018;368(2):137–46. doi: 10.1016/j.yexcr.2018.04.014. [DOI] [PubMed] [Google Scholar]
- 17.Kaszak I, Witkowska-Piłaszewicz O, Niewiadomska Z. et al. Role of Cadherins in Cancer-A Review. Int J Mol Sci. 2020;21(20):7624–40. doi: 10.3390/ijms21207624. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 18.Wang Y, Shi J, Chai K. et al. The Role of Snail in EMT and Tumorigenesis. Curr Cancer Drug Targets. 2013;13(9):963–72. doi: 10.2174/15680096113136660102. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 19.Murray GI, Duncan ME, Arbuckle E. et al. Matrix metalloproteinases and their inhibitors in gastric cancer. Gut. 1998;43(6):791–7. doi: 10.1136/gut.43.6.791. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 20.Chen Z, He T, Zhao K. et al. Anti-metastatic activity of fangchinoline in human gastric cancer AGS cells. Oncol Lett. 2017;13(2):655–60. doi: 10.3892/ol.2016.5457. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 21.Pereira AL, Veras SS, Silveira EJ. et al. The role of matrix extracellular proteins and metalloproteinases in head and neck carcinomas: an updated review. Braz J Otorhinolaryngol. 2005;71(1):81–6. doi: 10.1016/S1808-8694(15)31289-1. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 22.Liu Y, Cao J, Zhu L. et al. Circular RNA circPGD contributes to gastric cancer progression via the sponging miR-16-5p/ABL2 axis and encodes a novel PGD-219aa protein. Cell Death Discov. 2022;8(1):384–96. doi: 10.1038/s41420-022-01177-0. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 23.Liu C, Jian M, Qi H. et al. MicroRNA 495 Inhibits Proliferation and Metastasis and Promotes Apoptosis by Targeting Twist1 in Gastric Cancer Cells. Oncol Res. 2019;27(3):389–97. doi: 10.3727/096504018X15223159811838. [DOI] [PMC free article] [PubMed] [Google Scholar] [Retracted]
- 24.Jia S, Qu T, Wang X. et al. KIAA1199 promotes migration and invasion by Wnt/β-catenin pathway and MMPs mediated EMT progression and serves as a poor prognosis marker in gastric cancer. PLoS One. 2017;12(4):e0175058. doi: 10.1371/journal.pone.0175058. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 25.Georgakopoulos-Soares I, Chartoumpekis DV, Kyriazopoulou V. et al. EMT Factors and Metabolic Pathways in Cancer. Front Oncol. 2020;10:499–518. doi: 10.3389/fonc.2020.00499. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 26.Baj J, Korona-Głowniak I, Forma A. et al. Mechanisms of the Epithelial-Mesenchymal Transition and Tumor Microenvironment in Helicobacter pylori-Induced Gastric Cancer. Cells. 2020;9(4):1055–82. doi: 10.3390/cells9041055. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 27.Zhu L, Yao Z, Luo Q. et al. Low Expression of GIGYF1 Inhibits Metastasis, Proliferation, and Promotes Apoptosis and Autophagy of Gastric Cancer Cells. Int J Med Sci. 2023;20(8):1038–45. doi: 10.7150/ijms.82719. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 28.Li X, Luo J, Mou K. et al. SDPR Inhibits TGF-β Induced Cancer Metastasis Through Fatty Acid Oxidation Regulation in Gastric Cancer. Int J Biol Sci. 2023;19(10):2999–3014. doi: 10.7150/ijbs.83012. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 29.Wilson RB, Archid R, Reymond MA. Reprogramming of Mesothelial-Mesenchymal Transition in Chronic Peritoneal Diseases by Estrogen Receptor Modulation and TGF-β1 Inhibition. Int J Mol Sci. 2020;21(11):4158–90. doi: 10.3390/ijms21114158. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 30.Yan H, Qiu C, Sun W. et al. Yap regulates gastric cancer survival and migration via SIRT1/Mfn2/mitophagy. Oncol Rep. 2018;39(4):1671–81. doi: 10.3892/or.2018.6252. [DOI] [PMC free article] [PubMed] [Google Scholar] [Retracted]
- 31.Liu H, Mei D, Xu P. et al. YAP promotes gastric cancer cell survival and migration/invasion via the ERK/endoplasmic reticulum stress pathway. Oncol Lett. 2019;18(6):6752–8. doi: 10.3892/ol.2019.11049. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 32.Wang T, Wang D, Sun Y. et al. Regulation of the Hippo/YAP axis by CXCR7 in the tumorigenesis of gastric cancer. J Exp Clin Cancer Res. 2023;42(1):297–318. doi: 10.1186/s13046-023-02870-3. [DOI] [PMC free article] [PubMed] [Google Scholar]
Associated Data
This section collects any data citations, data availability statements, or supplementary materials included in this article.
Data Availability Statement
The datasets used and/or analyzed during the current study are available from the corresponding author on reasonable request.