- Open Access
MicroRNA-335-5p is a potential suppressor of metastasis and invasion in gastric cancer
© The Author(s). 2017
- Received: 10 February 2017
- Accepted: 2 October 2017
- Published: 17 October 2017
Multiple aberrant microRNA expression has been reported in gastric cancer. Among them, microRNA-335-5p (miR-335), a microRNA regulated by DNA methylation, has been reported to possess both tumor suppressor and tumor promoter activities.
Herein, we show that miR-335 levels are reduced in gastric cancer and significantly associate with lymph node metastasis, depth of tumor invasion, and ultimately poor patient survival in a cohort of Amerindian/Hispanic patients. In two gastric cancer cell lines AGS and, Hs 746T the exogenous miR-335 decreases migration, invasion, viability, and anchorage-independent cell growth capacities. Performing a PCR array on cells transfected with miR-335, 19 (30.6%) out of 62 genes involved in metastasis and tumor invasion showed decreased transcription levels. Network enrichment analysis narrowed these genes to nine (PLAUR, CDH11, COL4A2, CTGF, CTSK, MMP7, PDGFA, TIMP1, and TIMP2). Elevated levels of PLAUR, a validated target gene, and CDH11 were confirmed in tumors with low expression of miR-335. The 3′UTR of CDH11 was identified to be directly targeted by miR-335. Downregulation of miR-335 was also demonstrated in plasma samples from gastric cancer patients and inversely correlated with DNA methylation of promoter region (Z = 1.96, p = 0.029). DNA methylation, evaluated by methylation-specific PCR assay, was found in plasma from 23 (56.1%) out of 41 gastric cancer patients but in only 9 (30%) out of 30 healthy donors (p = 0.029, Pearson’s correlation). Taken in consideration, our results of the association with depth of invasion, lymph node metastasis, and poor prognosis together with functional assays on cell migration, invasion, and tumorigenicity are in accordance with the downregulation of miR-335 in gastric cancer.
Comprehensive evaluation of metastasis and invasion pathway identified a subset of associated genes and confirmed PLAUR and CDH11, both targets of miR-335, to be overexpressed in gastric cancer tissues. DNA methylation of miR-335 may be a promissory strategy for non-invasive approach to gastric cancer.
- Gastric cancer
Gastric cancer is the fifth most common cancer and the third leading cause of cancer-related death in both sexes worldwide with 723,000 deaths reported in 2012 . Gastric cancer presents a wide variation in incidence and mortality rates across different geographical areas suggesting that the development and progression of this disease may be affected by the environment . Although comprehensive studies have identified several genes associated with the development and progression of gastric cancer, the detailed molecular mechanisms of the disease still remain poorly understood [3, 4].
MicroRNAs (miRNAs) are a class of short noncoding RNAs that suppress gene expression resulting in translational repression or mRNA decay . Emerging literature highlights the role of miRNAs in a variety of biological processes within the tumor cell, including proliferation, differentiation, migration, and invasion [6, 7]. Multiple aberrant miRNA expression has also been frequently reported in human neoplasms including gastric cancer [5, 8, 9]. Among relevant miRNAs in cancer, microRNA-335-5p (miR-335) is a transcript of genomic region chromosome 7q32.2, regulated by DNA methylation that has been reported to possess both tumor suppressor and tumor promoter activities depending on the tumor type and stage . However, in gastric cancer, the role of the miRNA has to be defined, as studies have reported both overexpression and downregulation [11, 12].
Here we present clinical and functional assays that suggest that miR-335 is a tumor suppressor in gastric cancer. In addition, we comprehensively evaluate the impact of miR-355 upon metastasis and tumor invasion pathways. Finally, we explore if the downregulation of miR-335 associated with DNA methylation in plasma could be a useful approach to non-invasive assessment of gastric cancer.
miR-335 is downregulated in gastric cancer tissues and associated with depth of tumor invasion and lymph node metastasis
Association of expression levels of miR-335 with clinicopathological features in patients with gastric cancer
miR-335 expression (mean ± SD)
0.808 ± 0.515
1.246 ± 2.657
0.810 ± 0.621
1.337 ± 2.899
0.987 ± 0.539
1.100 ± 2.378
I + II
1.580 ± 2.962
III + IV
0.618 ± 0.389
0.638 ± 0.399
1.672 ± 3.136
0.655 ± 0.303
1.378 ± 2.713
1.104 ± 2.504
1.008 ± 0.606
Depth of tumor invasion
T2 + T3
1.602 ± 2.865
0.545 ± 0.368
Lymph node metastasis
2.060 ± 3.714
N1 + N2 + N3
0.672 ± 0.549
Lymphatic venous and perineural invasion
1.355 ± 2.752
0.725 ± 0.593
Downregulation of miR-335 is associated with poor prognosis in patients with gastric cancer
We performed overall survival analysis of patients with gastric cancer using Kaplan-Meier analysis according to levels of miR-335 expression (median of the total samples). During a follow-up of 60 months, 20 (52.6%) of the 38 patients died. The median overall survival time was 27 months. Univariate analysis revealed that patients with low expression level of miR-335 had a significantly reduced median overall survival (p = 0.049) (Fig. 1c).
miR-335 suppresses gastric cancer cell migration and invasion in vitro
Migration of cells transfected with miR-335 mimic also was tested in an in vitro wound-healing model. Wound closure was quantified at 0, 10, and 20 h with 0 h set as 100%. The results showed that wound closure was significantly lower in cells treated with miR-335 mimic (38.9% ± 2.2 remaining open; p < 0.05) compared to cells treated with the corresponding NC mimic (26.3% ± 2.7) and wild-type cells (26.7% ± 6.3) at 20 h (Fig. 2c), suggesting lower migration of cells expressing elevated levels of miR-335. As expected, there were no significant differences between cells transfected with NC mimic and wild-type cells.
To assess the effect of miR-335 on invasion, the same system as described above was modified to use Transwell inserts coated with Matrigel. We observed that the percentage of cells invading the Matrigel and passing through the Transwell was significantly lower in cells transfected with miR-335 mimic (37.7% ± 3.5; р < 0.001) than in cells transfected with NC mimic (Fig. 2d). Accordingly, the percentage of invading cells was significantly higher in cells transfected with miR-335 inhibitor (157.7% ± 12.6; p < 0.01) as opposed to cells transfected with the NC inhibitor (Fig. 2e). Again, there were no significant differences between wild-type cells and those transfected with NCs.
miR-335 reduces tumorigenicity and cell viability in vitro
To mimic 3D cellular environment to that seen in vivo, we performed the soft agar assay that quantifies tumorigenicity by measuring a single cell’s ability to proliferate and form colonies in suspension within a semi-solid agarose gel . As expected, 21 days after plating the cells on soft agar, cell transfected with miR-335 mimic formed significantly less colonies than cells transfected with NC (p = 0.001) or wild-type cells (Fig. 3c).
To explore if viability was altered, the MTS assay (which measures the redox state of the mitochondria) was used to indirectly assess the viability of cells transfected with either miR-335 mimic or inhibitor and their corresponding NCs. The results revealed that cells expressing miR-335 mimic showed a significant decrease in viability compared to those expressing mimic NC at 24 and 48 h post-transfection (p < 0.05) (Fig. 3d). Consequently, viability was significantly higher in cells expressing miR-335 inhibitor when compared with NC inhibitor and wild-type cells at 48 h (p < 0.01) (Fig. 3e). In addition, the transfected cells were assessed by the trypan blue dye exclusion assay. In accordance with the MTS assay, cells expressing high levels of miR-335 presented a lower viability percentage (83.6% ± 5.9; p < 0.001) compared to the control at 48 h after transfection (Fig. 3f). No statistically significant differences between wild-type cells and those transfected with corresponding NCs were observed in either the MTS or the trypan blue experiments. Taken together, all performed functional assays demonstrated the invasive and metastatic effect of miR-335 on AGS cell line.
miR-335 alters tumor invasion, migration, and tumorigenicity in Hs 746T cell line
To further validate our data obtained in AGS cell line, we repeated the functional assays in Hs 746T cells transfected with miR-335 mimic. After showing that these cells transfected with miR-335 mimic show significantly decreased invasive properties, we performed the migration assay and observed a diminution of cells overexpressing miR-335 migrated through the Transwell (37.1% ± 19.1; p < 0.01) (Fig. 4d). Anchorage-independent cell growth and stemness capacities by soft agar assay and spheroid formation assay, respectively (Fig. 4d, e), were also diminished in Hs 746T cells transfected with miR-335 mimic (р < 0.05 and p < 0.01, respectively). Finally, viability by MTT assay was also significantly diminished in Hs 746T transfected with miR-335 at 48 and 72 h post-transfection (p < 0.001) as shown in Fig. 4f.
In conclusion, metastasis-derived cell line Hs 746T cells express significantly less miR-335 and demonstrate higher invasive properties when compared to primary tumor-derived cell line AGS. In accordance with these findings, both cell lines transfected with miR-335 mimic show significantly decreased invasive and migratory properties, anchorage-independent cell growth capacities, and viability.
miR-335 alters expression of genes involved in metastasis and tumor invasion
Deregulated genes involved in metastasis and tumor invasion in cells transfected with miR-335 mimic and inhibitor
p value overexpressed miR-335 cells
p value inhibited miR-335 cells
Aldehyde dehydrogenase 3 family member A1
Collagen type IV
Connective tissue growth factor
Hypoxia inducible factor 1 alpha subunit
Matrix metallopeptidase 7
V-myc avian myelocytomatosis viral oncogene homolog
Neural precursor cell expressed, developmentally downregulated 9
Neurofibromin 2 (merlin)
Platelet-derived growth factor subunit A
Plasminogen activator, urokinase receptor
Runt-related transcription factor 1
Secreted phosphoprotein 1
Transforming growth factor beta 1
TIMP metallopeptidase inhibitor 1
TIMP metallopeptidase inhibitor 2
PLAUR and CDH11 genes are overexpressed in gastric cancer clinical samples
Based on binding with PLAUR, we further validated the expression of PLAUR in tumors with low expression of miR-335 (less than median of the total samples). As shown in Fig. 5c, we observed elevated levels of PLAUR when compared with their paired NAT (p = 0.001). By plotting the relative expression of PLAUR in each of the separate samples, it was observed that 18/19 (94.7%) patients had increased PLAUR (Fig. 5d). In the same clinical samples, expression of CDH11 was validated. Figure 5e shows similar increase of CDH11 expression in tumor samples (p = 0.0006), and when plotting these relative expressions, 17/19 (89.5%) patients demonstrated increased CDH11 mRNA levels (Fig. 5d).
The CDH11 3'UTR is the direct target for miR-335
To determine if CDH11 is a direct target of miR-335, we cloned a fragment of the 3′UTR of the CDH11 gene into a dual-luciferase construct pmirGLO. Notably, the 3′UTR of CDH11 appeared to be repressed by miR-335 by 36% ± 14 in AGS cells compared with the NC (p = 0.005) (Fig. 5g). When mutant fragment of the 3′UTR of the CDH11 gene was cloned, no repression was observed. These results indicate that the miR-335 directly targets the 3′UTR of CDH11.
Correlation between MEST and miR-335 expression
The miR-335 locus resides in the second intron of the mesoderm-specific transcript (MEST) gene from which its miRNA is processed . Therefore, we surveyed the expression levels of miR-335 and MEST across 386 clinical samples from The Cancer Genome Atlas (TCGA). This analysis uncovered a strong correlation (Spearman’s rank correlation test, r = 0.83; p = 0.0001) between miR-335 and the gene from which it arises. These findings were validated in AGS and Hs 746T cell lines (Additional file 3: Figure S3). Taken together, our survey supports the notion that miR-335 is co-expressed with MEST, under the control of the promoter methylation of its host gene.
miR-335 expression is downregulated in plasma from gastric cancer patients and associated with DNA methylation of the promoter region of MEST gene
The involvement of miR-335 in gastric cancer progression remains controversial. Among five published clinical studies to date, only one of them has shown downregulation of miR-335 in gastric cancer samples  while three showed no significant differences between tumor and non-tumor tissues [12, 17, 21], and one study reported overexpression of miR-335 in gastric cancer patients with recurrence disease . Each of these reports was compiled from Asian patients’ cohorts; however, geographical and ethnic variables are known to influence gene expression [24, 25]. Therefore, a study investigating the expression of this miRNA in other geographical locations could contribute to clarify these controversies. Herein, in an Amerindian/Hispanic cohort, we report that downregulation of miR-335 in gastric cancer tissues in respect to their NAT is associated with depth of tumor invasion and lymph node metastasis. In addition, downregulation of miR-335 is a prognostic factor for overall survival in Amerindian/Hispanic gastric cancer patients.
To clarify the biological role of miR-335 in gastric cancer, we performed in vitro functional studies in the AGS and Hs 746T gastric cancer cell lines, two of the widely used models for understanding the molecular mechanisms involved in the progression of gastric cancer . Our results showed that exogenous miR-335 expression was able to inhibit migration, invasion, tumorigenicity, and viability of these cells. In accordance, inhibition of miR-335 expression promoted these processes. Our results on invasion and cell viability are consistent with, and complement, earlier studies in other cell lines [12, 23]. Moreover, our functional assays of migration and tumorigenicity further support the potential role of miR-335 as a tumor suppressor gene in gastric cancer.
Genes downstream of miR-335 in metastasis and tumor invasion have not yet been completely characterized in gastric cancer. Xu et al.  found that miR-335 might function as a metastasis suppressor by targeting Bcl-w and specificity protein 1 (Sp1), and Yang et al.  has reported that miR-335 regulates growth and apoptosis by direct targeting of survivin. Another study showed that exogenous miR-335 expression repressed expression of RASA1, which has been reported to play role in cancer cell invasion . Herein, we comprehensively evaluated the expression of genes involved in the metastasis and tumor invasion pathways. We identified that up to 19 out of 62 (30.6%) genes were significantly associated with changes in expression levels of miR-335. These genes belong to relevant intracellular signaling pathways in cancer such as PI3K-Akt (COL4A2, MYC, PDGFA, SPP1), proteoglycans (HIF1A, MYC, PLAUR, TGFB1), and Hippo (CTGF, MYC, NF2, TGFB1). As a single miRNA can target several messenger RNAs, dysregulation of miRNAs can effectively affect multiple signaling pathways leading to tumor formation and metastasis . In this scenario, Ingenuity Pathway Analysis (IPA) narrowed these 19 genes to 9 genes that mapped on a network leading to metastasis and cell invasion. Among these genes, PLAUR, a validated target of miR-335 , significantly increased mRNA levels after knockdown of miR-335 expression in gastric cancer cells. PLAUR is membrane-bound glycoprotein with a GPI anchor that encodes the receptor of urokinase-type plasminogen activator . PLAUR binds and activates PLAU, a serine protease capable of converting plasminogen to active plasmin, which degrades components of the extracellular matrix, thus facilitating invasion and metastasis . Furthermore, PLAUR has signaling properties through interactions with membrane-bound integrins, which are able to affect migration and cell proliferation . In gastric cancer, the overexpression of PLAUR has been reported to be closely related to cell invasion and metastasis [31, 32]. Our in vitro analysis also showed a significant increase of PLAUR expression in miR-335 knockdown cells and, consequently cells overexpressing miR-335 exhibited low level of PLAUR. Accordingly, elevated levels of PLAUR were observed in tumor tissues when compared with their paired non-tumor mucosa. The other significant gene, CDH11, encodes a type II classical cadherin, an integral membrane protein that mediates calcium-dependent cell-cell adhesion . CDH11 has been reported deregulated in various tumor types, suggesting a role in tumor invasion [16, 34], and its overexpression was found in advanced gastric cancer . Ultimately, we identified CDH11 as a direct target of miR-335.
The strong correlation between the expression of miR-335 and MEST, the gene from which it arises, suggests that the mechanisms responsible for silencing miR-335 expression should be the promoter methylation of its host gene [21, 22]. Thus, we evaluated if the methylation of the promoter of the MEST gene  could be detected in plasma as a useful approach to non-invasive assessment of gastric cancer. DNA methylation in plasma has been proposed as a biomarker for risk prediction, prognostication, and prediction of treatment response in gastric cancer [21, 35]. In addition, several studies have shown that downregulation of microRNAs is associated with DNA methylation of the promoter region of its host genes [25, 36]. Envisaging the clinical application of the down-regulated of miR-335, we expand to plasma the reported inverse correlation between expression and DNA methylation in gastric cancer tissues and cell lines . Herein, we not only demonstrated that inverse correlation occurs in plasma, but also that significant difference between gastric cancer patients and healthy donors were observed. Thus, our findings support the idea that DNA methylation of miR-335 may be a promissory strategy for non-invasive approach to gastric cancer.
In summary, we favor the role of tumor suppressor gene of miR-335 by clinical and in vitro functional assays. Our comprehensive evaluation of metastasis and invasion pathway led us to identify and confirm that PLAUR, a validated target of miR-335, and CDH11 are overexpressed in gastric cancer tissues. In addition, CDH11 was identified as a direct target of miR-335. The inverse correlation between miR-335 expression and methylation in plasma not only expand previous findings regarding the epigenetic regulation of miR-335 but also propose that methylation of the promoter region of miR-335 might be a novel candidate for non-invasive diagnosis of gastric cancer. Further research in independent cohorts will be required to develop this clinical application.
Thirty-eight gastric tumor tissues and their pair-matched adjacent non-tumor tissues (that were a minimum of 10 cm from tumor lesion) were obtained with written informed consent from patients undergoing total gastrectomy at Hernán Henriquez Aravena Hospital, Temuco or at Sótero del Río Hospital, Santiago, Chile between the years 2008 and 2015. Fresh samples were immediately frozen after its resection and stored at − 80 °C by Tissue Biobank of Universidad de La Frontera, Temuco, Chile or directly processed in the Laboratory of Oncology at Pontificia Universidad Católica de Chile, Santiago. All patients were stratified according to the AJCC gastric cancer staging system . Clinicopathologic dates were taken from medical records. Plasma samples were obtained from Centro de Referencia de Salud San Rafael, Santiago and Sótero del Río Hospital, Santiago, Chile.
Gastric cancer cell lines and culture conditions
AGS and Hs 746T gastric carcinoma cell lines were purchased from American Type Culture Collection (ATCC, Manassas, VA, USA). AGS cells were grown in RPMI 1640 medium and Hs 746T cells in DMEM medium, both supplemented with 10% heat-inactivated fetal bovine serum (FBS), 10 units/ml penicillin, and 10 mg/ml streptomycin at 37 °C in a humidified atmosphere containing 5% CO2 and subcultured during the logarithmic phase. AGS cells were verified by short tandem repeat DNA profiling analysis.
RNA extraction and RT-qPCR of miR-335
Total RNA was extracted from gastric cancer tissues and paired NAT fresh frozen cases using the mirVana miRNA Extraction kit (Ambion, Life Technologies, USA), according to the manufacturer’s protocol. Total RNA from cell lines was isolated using TRIzol (Thermo Fisher Scientific) according to the manufacturer’s instructions including the adding of 20 μg glycogen (Roche) prior to isopropyl precipitation. Pellet was dissolved in 20 μl nuclease-free water. For RNA isolation of plasma 0.75 ml TRIzol LS (Thermo Fisher Scientific) was added to 0.25 ml plasma sample and further processed according to the manufacturer’s protocol and as described above.
miR-335 was quantitated by real-time PCR using TaqMan® Small Assays human (Life Technologies, Foster City, CA), following the protocol provided by the manufacturer. Briefly, mature miRNA was reverse transcribed from 10 ng of RNA using TaqMan® MicroRNA Reverse Transcription kit (Applied Biosystems, Life Technologies, USA) following the protocol provided by the manufacturer. qPCR was carried out using TaqMan® Universal PCR Master Mix with LightCycler® 480 Instrument (Roche Diagnostics GmbH, Roche Applied Science, Germany) according to manufacturer’s protocol. Small RNA RNU6B was used as internal control for input normalization. Primers and probes were obtained as predesigned TaqMan® Small Assays human (miR-335 Assay ID 000546, RNU6B ID 001093). The threshold cycle (Ct) was determined using the LightCycler software release 1.5.0. The relative miRNA expression was expressed as 2−ΔΔCT .
Lipofectamine® 2000 reagent (Invitrogen, Life Technologies, USA) was used to deliver single-stranded RNA molecules (mirVana™ miRNA Mimics and Inhibitors; Ambion, Life Technologies, USA) into AGS cells or Hs 746T as per manufacturer’s instructions. Briefly, cells were seeded at 2 × 105 cells per well of a 6-well plate and transfected with 30 nM of mimic or inhibitor of hsa-miR-335-5p (mature sequence 5′- UCAAGAGCAAUAACGAAAAAUU -3′, miRBase accession number: MI0000816)  when reached 70% confluence. Thirty nanomolar of random sequence of miRNA mimic or inhibitor molecules (mirVana™ miRNA Mimic and Inhibitor Negative Controls; Ambion, Life Technologies, USA) were used as negative controls. After transfection, cells were added to pre-warmed media and immediately placed in an incubator at 37 °C in a 5% CO2 atmosphere. Cells were harvested at 24 and 48 h after transfection for functional assays. Transfection efficiency was evaluated by RT-qPCR as described above Additional file 4: Figure S4).
For PCR array, AGS cell transfected with NC/miR-335 mimic or with NC/miR-335, inhibitor was used. The Pathway PCR array was purchased from Real Time Primers (Elkins Park, PA, USA), contained 88 primer sets directed against tumor invasion/metastasis genes and 8 housekeeping gene primer sets provided in a 96-well microplate (10 μM). PCR array library was used according to the manufacturer’s specifications (Real Time Primers, PA, USA). Normalization was performed with three reference genes RPL13A, ACTB, and PP1A, previously chosen by geNorm v3.5 software .
The extracted RNA was treated with DNase (Promega) according to the manufacture’s protocol. Reverse transcription (RT-PCR) was performed with 1000 ng of DNase-treated RNA using the reverse transcriptase enzyme M-MLV (Promega). The qPCRs were performed using a Brilliant II SYBR Green QPCR Master Mix (Agilent) following the protocol provided by the manufacturer. Briefly, 20 μl reaction volumes in 96-well plates were analyzed in LightCycler 480 (Roche Diagnostics) under the following conditions: initial 10 min denaturation at 95 °C, followed by 45 cycles at 95 °C for 15 s, and 60 °C for 60 s. Following primer pairs were used for cDNA amplification: CDH11 (forward 5′- AGAGAGCCCAGTACACGTTGA -3′, reverse 5′- TTGGCATGATAGGTCTCGTGC -3′), PLAUR (forward 5′- TGTAAGACCAACGGGGATTGC -3′, reverse 5′- AGCCAGTCCGATAGCTCAGG -3′), and MEST (forward 5′- CGCAGGATCAACTTCTTTC -3′, reverse 5′- CATCAGTCGTGTGAGGATGG -3′). Normalization was performed as above. The qPCRs were performed in triplicates.
A 355-bp fragment of the CDH11-3′UTR and a 253-bp fragment of mutant CDH11-3′UTR were amplified by PCR from human genomic DNA. For CDH11, the following sense (5′- AAA GAGCTCGGAGAAGTCTAACGCTGA -3′) and antisense (5′- TGCCCTGCAGG CGTCTCTCACTGAAACAAG -3′) primers and, for mutant, the following sense (5′- CCGA GAGCTCCGCTGAACTGACAATGAAG -3′) and antisense (5′- ATACCTGCAGG CAAGATTGATGCTCAACCAC -3′) primers were used. The PCR products were cloned into a pmirGLO Dual-Luciferase miRNA Target Expression Vector (Promega) where SacI and SbfI (both Thermo Scientific) sites were introduced into the multiple cloning sites. Both constructs were confirmed by DNA sequence analysis.
AGS cells were plated in 96-well plates (2 × 104/well). After 24 h, cells were co-transfected with 60 ng of pmirGLO-3′UTR/CDH11 construct or with mutant pmirGLO-3′UTR/CDH11 construct and with 30 nM of miR-335 mimic or NC mimic (both sequence reported above) using FuGENE HD (Promega) transfection reagent. Twenty-four-hour post-transfection, the firefly and Renilla luciferase activities were measured with a luminometer using the dual-luciferase assay system (Promega), according to the manufacturer’s instructions. Assay was repeated three times, and for each sample, firefly luciferase activity was normalized to Renilla luciferase expression.
Cell migration and invasion assay
For the migration assay, 5 × 104 AGS cells in serum-free media were placed into the upper chamber of an insert with 8 μm pore size polycarbonate membrane (Corning, NY, USA). For the invasion assay, the Transwell insert was coated with 20 μg Matrigel (Corning, NY, USA), and 7 × 104 AGS cells were plated onto the top of the coated filters. The cells were treated with corresponding oligonucleotides 24 h before starting the assay. The medium containing 10% FBS was placed in the lower chamber to act as a chemoattractant. After 18 h of incubation, the cells that did not migrate or invade through the pores were removed with a cotton swab and the membranes were fixed with methanol and stained with 0.1% crystal violet in 25% methanol/PBS. Five visual fields from each membrane were randomly selected and the number of cells that had migrated was counted using an optical microscope (Zeiss Scope A.1 Axio, 10×). For the invasions of Hs 746T and AGS cells in Fig. 4, the protocol was modified as follows: 5 × 104 cells were left to invade Matrigel for 48 h, fixed with 3.8% PFA, stained with DAPI, and 9 pictures per membrane were taken with fluorescent microscope (Olympus BX53F, 20×). The values of migration and invasion were measured with ImageJ® v1.48r program (NIH, USA). Invasive and migratory ability is expressed as the mean of cells per field.
Wound healing assay
Cells, transfected 24 h prior the assay, were seeded in 6-well plates, and a thin line was scratched into the monolayer of cells with a pipette tip simulating a wound. Zero, 10, and 20 h after the scratch, the width of the wound was evaluated under inverted microscope to assess the migration ability of the cells. Four representative photographs were taken, and the area of the cut was quantified with v1.48r ImageJ® software.
Cell viability assay
To analyze the real-time cell growth, MTS colorimetric assay (CellTiter 96® AQueous One Solution Cell Proliferation Assay, Promega, USA) was used following the manufacturer’s instructions. Twenty-four hours after transfection, the AGS cells were trypsinized and seeded at a density of 8 × 103 cells/well in 96-well plates in complete medium and incubated at 37 °C for 12, 24, and 48 h. After, the MTS reagent was added into each well and incubated at 37 °C for 2 h. Absorbance was read at 492 nm using a microplate reader (Bio-Rad, Hercules, CA, USA).
Trypan blue dye exclusion assay
Twenty-four hours after transfection cells were trypsinized and seeded at a density of 4 × 104 cells/well in 24-well plates in complete medium and incubated at 37 °C. After 12, 24, and 48 h, cell suspensions were prepared with 0.4% trypan blue solution, and the counting of viable and nonviable cells was performed in a Neubauer chamber.
Two hundred cells pretreated with miRNA mimic and inhibitor were plated in complete medium in each well of a 6-well plate and incubated at 37 °C for 14 days. Colonies were subsequently fixed and stained with 0.5% crystal violet in 25% methanol/PBS. Digital images were obtained by scanning at high resolution, and surviving colonies (≥ 50 cells per colony) were counted using the ImageJ® v1.48r program.
Soft agar colony formation assay
Anchorage-independent cell growth was determined by colony formation in soft agar. Twenty-four hours after transfection, 2.5 × 103 cells were mixed with 0.35% agarose (UltraPure™ LMP Agarose; Invitrogen) in RPMI medium and quickly plated on top of a solidified layer of 1% agarose in growth medium in a 6-well plate. Solidification was completed at room temperature for 45 min. Every 3 days, growth medium was changed, and after 14–21 days, the colony formation of cells was evaluated. All colonies larger than 50 μm were counted in each well. The experiment was repeated three times.
Sphere formation asssay
To determine stemness, 2 × 103 cells were seeded into 2% agarose-coated 12-well plates 24 h post-transfection with miR-335 mimic or NC. Spheres > 40 μm in diameter were scored at 10–12 days.
DNA extraction and conversion
DNA from 0.5–1 ml plasma from 41 gastric cancer patients and 30 healthy donors was extracted with QIAamp DNA Mini kit (QIAGEN, USA) according to manufacturer’s instructions. Extracted DNA was dissolved in 100 μl and subjected to bisulfite conversion and purification using the EZ DNA Methylation-GoldTM kit (Zymo Research, USA) according to the manufacturer’s protocol. The methylation-specific PCR (MSP) was performed as previously described in Li et al. . Based on this paper, primers amplifying the second CpG island were used (forward 5′- GGTTTTAAAAGTCGGTGTTTATTC -3′, reverse 5′- AACTACAACCACTCCGACGTA -3′).
Network analysis of tumor invasion/metastasis genes
Log ratios of significantly overexpressed genes from our PCR array by inhibition of miR-335 were loaded into IPA (Ingenuity Systems®, QIAGEN, USA). IPA identified significant networks by computing a score for each network derived from the p value for observed vs expected overlap of genes from our dataset that map to a particular network . MAP tool was applied to show the activation or inhibition of canonical pathways and biological networks in silico.
Statistical analyses were performed using SPSS for Windowsv.17.0 (SPSS, Chicago, IL) and GraphPad Prism 5.0 (GraphPad Software Inc., CA, USA). Association with clinicopathological variables was examined using Mann-Whitney test. Kaplan-Meier survival curves were plotted and compared using the log-rank test. The results of functional experiments were evaluated using the one-way or two-way ANOVA with the corresponding post-test. The results of PCR array analysis were measured using a Mann-Whitney U test. For miRNA and gene expression analysis, Student’s t test for paired samples was used for mean comparison between the two groups (NAT versus tumors). A two-tailed p < 0.05 was considered statistically significant. All the statistics were expressed as mean ± standard deviation (SD) of three independent experiments. A point-biserial correlation was run to determine the relationship between gastric cancer and healthy donor’s plasma samples.
The authors would like to thank Dr. Manuel Varas-Godoy for the helpful discussions and critical comments, Rodrigo Martínez for the help with data analysis, and to María José Maturana, Wilda Olivares, and Andrés Rodriguez for the help with the DNA sample extraction. Dr. Sofia Jerez and Ignacio Wichmann contributed with in vitro and in silico expression analysis, respectively.
This study was funded by the grants issued by the Government of Chile: CONICYT-FONDAP 15130011 and Fondecyts 1151411, 1140970, 11140204 and 3160592, PhD scholarship and financial support for a doctoral thesis CONICYT 24121383 and IMII P09/016-F.
Availability of data and materials
ASB designed the study concept, extracted the samples, performed the experiments and statistical analysis, and wrote the manuscript. IP helped design the concept, extracted the samples, performed the experiments, and wrote the manuscript. NCV extracted the samples and performed the experiments. LLG performed the experiments. IR extracted the samples. GCA performed the IPA. CB supervised the functional assays experiments and critically reviewed the manuscript. EN provided the tissues, performed tumor classification, and critically reviewed the manuscript. JCR provided the tissues and critically reviewed the manuscript. GIO wrote and critically reviewed the manuscript. AHC helped design the study, supervised it, and wrote the manuscript. All authors read and approved the manuscript.
Ethics approval and consent to participate
This study was approved by the Ethics Committee of the School of Medicine, Universidad de La Frontera, Temuco and of the Ethics Committee of Servicio de Salud Metropolitano Sur-Oriente, Santiago, Chile. All patients provided written informed consent. Plasma obtained from healthy donors, also on an approved study.
Consent for publication
The authors declare that they have no competing interests.
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- Ferlay J, Soerjomataram I, Dikshit R, Eser S, Mathers C, Rebelo M, et al. Cancer incidence and mortality worldwide: sources, methods and major patterns in GLOBOCAN 2012. Int J Cancer. 2015;136(5):E359–86. DOI:10.1002/ijc.29210.PubMedView ArticleGoogle Scholar
- Chatenoud L, Bertuccio P, Bosetti C, Malvezzi M, Levi F, Negri E, et al. Trends in mortality from major cancers in the Americas: 1980–2010. Ann Oncol. 2014;25(9):1843–53. DOI:10.1093/annonc/mdu206.PubMedView ArticleGoogle Scholar
- Bass AJ. Comprehensive molecular characterization of gastric adenocarcinoma. Nature. 2014;513(7517):202–9. DOI:10.1038/nature13480.PubMed CentralView ArticleGoogle Scholar
- Shimizu T, Marusawa H, Matsumoto Y, Inuzuka T, Ikeda A, Fujii Y, et al. Accumulation of somatic mutations in TP53 in gastric epithelium with Helicobacter pylori infection. Gastroenterology. 2014;147(2):407–17 e3. DOI:10.1053/j.gastro.2014.04.036.PubMedView ArticleGoogle Scholar
- Sandoval-Borquez A, Saavedra K, Carrasco-Avino G, Garcia-Bloj B, Fry J, Wichmann I, et al. Noncoding genomics in gastric cancer and the gastric precancerous cascade: pathogenesis and biomarkers. Dis Markers. 2015;2015:503762. DOI:10.1155/2015/503762.PubMedPubMed CentralView ArticleGoogle Scholar
- Khurana E, Fu Y, Chakravarty D, Demichelis F, Rubin MA, Gerstein M. Role of non-coding sequence variants in cancer. Nat Rev Genet. 2016;17(2):93–108. DOI:10.1038/nrg.2015.17.PubMedView ArticleGoogle Scholar
- Cech TR, Steitz JA. The noncoding RNA revolution-trashing old rules to forge new ones. Cell. 2014;157(1):77–94. DOI:10.1016/j.cell.2014.03.008.PubMedView ArticleGoogle Scholar
- Lujambio A, Lowe SW. The microcosmos of cancer. Nature. 2012;482(7385):347–55. DOI:10.1038/nature10888.PubMedPubMed CentralView ArticleGoogle Scholar
- Yang Q, Zhang RW, Sui PC, He HT, Ding L. Dysregulation of non-coding RNAs in gastric cancer. World J Gastroenterol. 2015;21(39):10956–81. doi:10.3748/wjg.v21.i39.10956 [doi] [doi].PubMedPubMed CentralView ArticleGoogle Scholar
- Rojas F, Hernandez ME, Silva M, Li L, Subramanian S, Wilson MJ, et al. The oncogenic response to miR-335 is associated with cell surface expression of membrane-type 1 matrix metalloproteinase (MT1-MMP) activity. PLoS One. 2015;10(7):e0132026. DOI:10.1371/journal.pone.0132026.PubMedPubMed CentralView ArticleGoogle Scholar
- Yan Z, Xiong Y, Xu W, Gao J, Cheng Y, Wang Z, et al. Identification of hsa-miR-335 as a prognostic signature in gastric cancer. PLoS One. 2012;7(7):e40037. DOI:10.1371/journal.pone.0040037.PubMedPubMed CentralView ArticleGoogle Scholar
- Xu Y, Zhao F, Wang Z, Song Y, Luo Y, Zhang X, et al. MicroRNA-335 acts as a metastasis suppressor in gastric cancer by targeting Bcl-w and specificity protein 1. Oncogene. 2012;31(11):1398–407. DOI:10.1038/onc.2011.340.PubMedView ArticleGoogle Scholar
- Washington K. 7th edition of the AJCC cancer staging manual: stomach. Ann Surg Oncol. 2010;17(12):3077–9. DOI:10.1245/s10434-010-1362-z.PubMedView ArticleGoogle Scholar
- Horibata S, Vo TV, Subramanian V, Thompson PR, Coonrod SA. Utilization of the soft agar colony formation assay to identify inhibitors of tumorigenicity in breast cancer cells. J Vis Exp. 2015;99:e52727. DOI:10.3791/52727.Google Scholar
- Dweep H, Gretz N. miRWalk2.0: a comprehensive atlas of microRNA-target interactions. Nat Methods. 2015;12(8):697. DOI:10.1038/nmeth.3485.PubMedView ArticleGoogle Scholar
- van Roy F. Beyond E-cadherin: roles of other cadherin superfamily members in cancer. Nat Rev Cancer. 2014;14(2):121–34. DOI:10.1038/nrc3647.PubMedView ArticleGoogle Scholar
- Li H, Xie S, Liu M, Chen Z, Liu X, Wang L, et al. The clinical significance of downregulation of mir-124-3p, mir-146a-5p, mir-155-5p and mir-335-5p in gastric cancer tumorigenesis. Int J Oncol. 2014;45(1):197–208. DOI:10.3892/ijo.2014.2415.PubMedView ArticleGoogle Scholar
- Vecchi M, Nuciforo P, Romagnoli S, Confalonieri S, Pellegrini C, Serio G, et al. Gene expression analysis of early and advanced gastric cancers. Oncogene. 2007;26(29):4284–94. doi:10.1038/sj.onc.1210208.PubMedView ArticleGoogle Scholar
- Alfano D, Gorrasi A, Li Santi A, Ricci P, Montuori N, Selleri C, et al. Urokinase receptor and CXCR4 are regulated by common microRNAs in leukaemia cells. J Cell Mol Med. 2015;19(9):2262–72. DOI:10.1111/jcmm.12617.PubMedPubMed CentralGoogle Scholar
- Png KJ, Yoshida M, Zhang XH, Shu W, Lee H, Rimner A, et al. MicroRNA-335 inhibits tumor reinitiation and is silenced through genetic and epigenetic mechanisms in human breast cancer. Genes Dev. 2011;25(3):226–31. DOI:10.1101/gad.1974211.PubMedPubMed CentralView ArticleGoogle Scholar
- Li Z, Li D, Zhang G, Xiong J, Jie Z, Cheng H, et al. Methylation-associated silencing of MicroRNA-335 contributes tumor cell invasion and migration by interacting with RASA1 in gastric cancer. Am J Cancer Res. 2014;4(6):648–62.PubMedPubMed CentralGoogle Scholar
- Zhang JK, Li YS, Zhang CD, Dai DQ. Up-regulation of CRKL by microRNA-335 methylation is associated with poor prognosis in gastric cancer. Cancer Cell Int. 2017;17:28. DOI:10.1186/s12935-017-0387-9.PubMedPubMed CentralView ArticleGoogle Scholar
- Yang B, Huang J, Liu H, Guo W, Li G. miR-335 directly, while miR-34a indirectly modulate survivin expression and regulate growth, apoptosis, and invasion of gastric cancer cells. Tumour Biol. 2015; DOI:10.1007/s13277-015-3951-8.
- Ossandon FJ, Villarroel C, Aguayo F, Santibanez E, Oue N, Yasui W, et al. In silico analysis of gastric carcinoma serial analysis of gene expression libraries reveals different profiles associated with ethnicity. Mol Cancer. 2008;7:22. DOI:10.1186/1476-4598-7-22.PubMedPubMed CentralView ArticleGoogle Scholar
- Lin, S.J., J.A. Gagnon-Bartsch, I.B. Tan, S. Earle, L. Ruff, K. Pettinger, et al. Signatures of tumour immunity distinguish Asian and non-Asian gastric adenocarcinomas. Gut, 2014 DOI: gutjnl-2014-308252.
- Basque JR, Chenard M, Chailler P, Menard D. Gastric cancer cell lines as models to study human digestive functions. J Cell Biochem. 2001;81(2):241–51.PubMedView ArticleGoogle Scholar
- Kang C, Song JJ, Lee J, Kim MY. Epigenetics: an emerging player in gastric cancer. World J Gastroenterol. 2014;20(21):6433–47. DOI:10.3748/wjg.v20.i21.6433.PubMedPubMed CentralView ArticleGoogle Scholar
- Llinas P, Le Du MH, Gardsvoll H, Dano K, Ploug M, Gilquin B, et al. Crystal structure of the human urokinase plasminogen activator receptor bound to an antagonist peptide. EMBO J. 2005;24(9):1655–63. DOI:10.1038/sj.emboj.7600635.PubMedPubMed CentralView ArticleGoogle Scholar
- Lund IK, Illemann M, Thurison T, Christensen IJ, Hoyer-Hansen G. uPAR as anti-cancer target: evaluation of biomarker potential, histological localization, and antibody-based therapy. Curr Drug Targets. 2011;12(12):1744–60.PubMedView ArticleGoogle Scholar
- Nowicki TS, Zhao H, Darzynkiewicz Z, Moscatello A, Shin E, Schantz S, et al. Downregulation of uPAR inhibits migration, invasion, proliferation, FAK/PI3K/Akt signaling and induces senescence in papillary thyroid carcinoma cells. Cell Cycle. 2011;10(1):100–7.PubMedPubMed CentralView ArticleGoogle Scholar
- Hong SI, Park IC, Son YS, Lee SH, Kim BG, Lee JI, et al. Expression of urokinase-type plasminogen activator, its receptor, and its inhibitor in gastric adenocarcinoma tissues. J Korean Med Sci. 1996;11(1):33–7. DOI:10.3346/jkms.1918.104.22.168.PubMedPubMed CentralView ArticleGoogle Scholar
- Khoi PN, Xia Y, Lian S, Kim HD, Kim DH, Joo YE, et al. Cadmium induces urokinase-type plasminogen activator receptor expression and the cell invasiveness of human gastric cancer cells via the ERK-1/2, NF-kappaB, and AP-1 signaling pathways. Int J Oncol. 2014;45(4):1760–8. DOI:10.3892/ijo.2014.2558.PubMedView ArticleGoogle Scholar
- Okazaki M, Takeshita S, Kawai S, Kikuno R, Tsujimura A, Kudo A, et al. Molecular cloning and characterization of OB-cadherin, a new member of cadherin family expressed in osteoblasts. J Biol Chem. 1994;269(16):12092–8.PubMedGoogle Scholar
- Bellahcene A, Castronovo V, Ogbureke KU, Fisher LW, Fedarko NS. Small integrin-binding ligand N-linked glycoproteins (SIBLINGs): multifunctional proteins in cancer. Nat Rev Cancer. 2008;8(3):212–26. DOI:10.1038/nrc2345.PubMedPubMed CentralView ArticleGoogle Scholar
- Sapari NS, Loh M, Vaithilingam A, Soong R. Clinical potential of DNA methylation in gastric cancer: a meta-analysis. PLoS One. 2012;7(4):e36275. https://doi.org/10.1371/journal.pone.0036275.PubMedPubMed CentralView ArticleGoogle Scholar
- Ma J, Hong L, Chen Z, Nie Y, Fan D. Epigenetic regulation of microRNAs in gastric cancer. Dig Dis Sci. 2014;59(4):716–23. DOI:10.1007/s10620-013-2939-8.PubMedView ArticleGoogle Scholar
- Livak KJ, Schmittgen TD. Analysis of relative gene expression data using real-time quantitative PCR and the 2(−Delta Delta C(T)) method. Methods. 2001;25(4):402–8. DOI:10.1006/meth.2001.1262.PubMedView ArticleGoogle Scholar
- Weber MJ. New human and mouse microRNA genes found by homology search. FEBS J. 2005;272(1):59–73. DOI:10.1111/j.1432-1033.2004.04389.x.PubMedView ArticleGoogle Scholar
- Vandesompele J, De Preter K, Pattyn F, Poppe B, Van Roy N, De Paepe A, et al. Accurate normalization of real-time quantitative RT-PCR data by geometric averaging of multiple internal control genes. Genome Biol. 2002;3(7):RESEARCH0034.PubMedPubMed CentralView ArticleGoogle Scholar
- Campagne F, Skrabanek L. Mining expressed sequence tags identifies cancer markers of clinical interest. BMC Bioinformatics. 2006;7:481. DOI:10.1186/1471-2105-7-481.PubMedPubMed CentralView ArticleGoogle Scholar
- Yan J, De Melo J, Cutz JC, Aziz T, Tang D. Aldehyde dehydrogenase 3A1 associates with prostate tumorigenesis. Br J Cancer. 2014;110(10):2593–603. DOI:10.1038/bjc.2014.201.PubMedPubMed CentralView ArticleGoogle Scholar
- Assefnia S, Dakshanamurthy S, Guidry Auvil JM, Hampel C, Anastasiadis PZ, Kallakury B, et al. Cadherin-11 in poor prognosis malignancies and rheumatoid arthritis: common target, common therapies. Oncotarget. 2014;5(6):1458–74. 10.18632/oncotarget.1538.PubMedView ArticleGoogle Scholar
- Lin YL, Gui SL, Ma JG. Aberrant methylation of CDH11 predicts a poor outcome for patients with bladder cancer. Oncol Lett. 2015;10(2):647–52. DOI:10.3892/ol.2015.3337.PubMedPubMed CentralGoogle Scholar
- Zavala-Zendejas VE, Torres-Martinez AC, Salas-Morales B, Fortoul TI, Montano LF, Rendon-Huerta EP. Claudin-6, 7, or 9 overexpression in the human gastric adenocarcinoma cell line AGS increases its invasiveness, migration, and proliferation rate. Cancer Investig. 2011;29(1):1–11. DOI:10.3109/07357907.2010.512594.View ArticleGoogle Scholar
- Brown CW, Brodsky AS, Freiman RN. Notch3 overexpression promotes anoikis resistance in epithelial ovarian cancer via upregulation of COL4A2. Mol Cancer Res. 2015;13(1):78–85. DOI:10.1158/1541-7786.MCR-14-0334.PubMedView ArticleGoogle Scholar
- Utsunomiya T, Hara Y, Kataoka A, Morita M, Arakawa H, Mori M, et al. Cystatin-like metastasis-associated protein mRNA expression in human colorectal cancer is associated with both liver metastasis and patient survival. Clin Cancer Res. 2002;8(8):2591–4.PubMedGoogle Scholar
- Jiang CG, Lv L, Liu FR, Wang ZN, Liu FN, Li YS, et al. Downregulation of connective tissue growth factor inhibits the growth and invasion of gastric cancer cells and attenuates peritoneal dissemination. Mol Cancer. 2011;10:122. https://doi.org/10.1186/1476-4598-10-122.PubMedPubMed CentralView ArticleGoogle Scholar
- Chen CN, Chang CC, Lai HS, Jeng YM, Chen CI, Chang KJ, et al. Connective tissue growth factor inhibits gastric cancer peritoneal metastasis by blocking integrin alpha3beta1-dependent adhesion. Gastric Cancer. 2015;18(3):504–15. DOI:10.1007/s10120-014-0400-0.PubMedView ArticleGoogle Scholar
- Xie L, Moroi Y, Hayashida S, Tsuji G, Takeuchi S, Shan B, et al. Cathepsin K-upregulation in fibroblasts promotes Matrigel invasive ability of squamous cell carcinoma cells via tumor-derived IL-1alpha. J Dermatol Sci. 2011;61(1):45–50. DOI:10.1016/j.jdermsci.2010.09.005.PubMedView ArticleGoogle Scholar
- Miyake S, Kitajima Y, Nakamura J, Kai K, Yanagihara K, Tanaka T, et al. HIF-1alpha is a crucial factor in the development of peritoneal dissemination via natural metastatic routes in scirrhous gastric cancer. Int J Oncol. 2013;43(5):1431–40. DOI:10.3892/ijo.2013.2068.PubMedView ArticleGoogle Scholar
- Soleyman-Jahi S, Nedjat S, Abdirad A, Hoorshad N, Heidari R, Zendehdel K. Prognostic significance of matrix metalloproteinase-7 in gastric cancer survival: a meta-analysis. PLoS One. 2014;10(4):e0122316. DOI:10.1371/journal.pone.0122316.PubMedView ArticleGoogle Scholar
- Chen Z, Li Z, Li W, Zong Y, Zhu Y, Miao Y, et al. SATB1 promotes pancreatic cancer growth and invasion depending on MYC activation. Dig Dis Sci. 2015;60(11):3304–17. DOI:10.1007/s10620-015-3759-9.PubMedPubMed CentralView ArticleGoogle Scholar
- Feng J, Zhao J, Xie H, Yin Y, Luo G, Zhang J, et al. Involvement of NEDD9 in the invasion and migration of gastric cancer. Tumour Biol. 2015;36(5):3621–8. DOI:10.1007/s13277-014-2999-1.PubMedView ArticleGoogle Scholar
- Guerrero PA, Yin W, Camacho L, Marchetti D. Oncogenic role of Merlin/NF2 in glioblastoma. Oncogene. 2015;34(20):2621–30. DOI:10.1038/onc.2014.185.PubMedView ArticleGoogle Scholar
- Cooper J, Giancotti FG. Molecular insights into NF2/Merlin tumor suppressor function. FEBS Lett. 2014;588(16):2743–52. DOI:10.1016/j.febslet.2014.04.001.PubMedPubMed CentralView ArticleGoogle Scholar
- Katano M, Nakamura M, Fujimoto K, Miyazaki K, Morisaki T. Prognostic value of platelet-derived growth factor-A (PDGF-A) in gastric carcinoma. Ann Surg. 1998;227(3):365–71.PubMedPubMed CentralView ArticleGoogle Scholar
- Zhang L, Zhao ZS, Ru GQ, Ma J. Correlative studies on uPA mRNA and uPAR mRNA expression with vascular endothelial growth factor, microvessel density, progression and survival time of patients with gastric cancer. World J Gastroenterol. 2006;12(25):3970–6.PubMedPubMed CentralView ArticleGoogle Scholar
- Sakakura C, Hagiwara A, Miyagawa K, Nakashima S, Yoshikawa T, Kin S, et al. Frequent downregulation of the runt domain transcription factors RUNX1, RUNX3 and their cofactor CBFB in gastric cancer. Int J Cancer. 2005;113(2):221–8. DOI:10.1002/ijc.20551.PubMedView ArticleGoogle Scholar
- Browne G, Taipaleenmaki H, Bishop NM, Madasu SC, Shaw LM, van Wijnen AJ, et al. Runx1 is associated with breast cancer progression in MMTV-PyMT transgenic mice and its depletion in vitro inhibits migration and invasion. J Cell Physiol. 2015;230(10):2522–32. DOI:10.1002/jcp.24989.PubMedPubMed CentralView ArticleGoogle Scholar
- Junnila S, Kokkola A, Mizuguchi T, Hirata K, Karjalainen-Lindsberg ML, Puolakkainen P, et al. Gene expression analysis identifies over-expression of CXCL1, SPARC, SPP1, and SULF1 in gastric cancer. Genes Chromosomes Cancer. 2010;49(1):28–39. DOI:10.1002/gcc.20715.PubMedView ArticleGoogle Scholar
- Lyu Z, Kong B, Liu X, Li F, Wang H, Xu H. Role of transforming growth factor-beta1 in epithelial-mesenchymal transition of mesothelial cells and its effect on peritoneal metastasis of gastric cancer. Zhonghua Wei Chang Wai Ke Za Zhi. 2015;18(1):54–7.PubMedGoogle Scholar
- Rojiani MV, Ghoshal-Gupta S, Kutiyanawalla A, Mathur S, Rojiani AM. TIMP-1 overexpression in lung carcinoma enhances tumor kinetics and angiogenesis in brain metastasis. J Neuropathol Exp Neurol. 2015;74(4):293–304. DOI:10.1097/NEN.0000000000000175.PubMedView ArticleGoogle Scholar
- Xia Y, Wu S. Tissue inhibitor of metalloproteinase 2 inhibits activation of the beta-catenin signaling in melanoma cells. Cell Cycle. 2015;14(11):1666–74. DOI:10.1080/15384101.2015.1030557.PubMedPubMed CentralView ArticleGoogle Scholar
- Wang C, Cai X, Chen B, He Z, Chen Z, Cen J, et al. Up-regulation of tissue inhibitor of metalloproteinase-2 promotes SHI-1 cell invasion in nude mice. Leuk Lymphoma. 2013;54(12):2707–11. DOI:10.3109/10428194.2013.783214.PubMedView ArticleGoogle Scholar