Metformin suppresses gastric cancer progression through calmodulin‑like protein 3 secreted from tumor‑associated fibroblasts

  • Authors:
    • Guangxia Chen
    • Chenxiao Yu
    • Zhicheng Tang
    • Shiyu Liu
    • Fangmei An
    • Junjia Zhu
    • Qianqian Wu
    • Jianping Cao
    • Qiang Zhan
    • Shuyu Zhang
  • View Affiliations

  • Published online on: October 11, 2018     https://doi.org/10.3892/or.2018.6783
  • Pages: 405-414
Metrics: Total Views: 0 (Spandidos Publications: | PMC Statistics: )
Total PDF Downloads: 0 (Spandidos Publications: | PMC Statistics: )


Abstract

Gastric cancer is one of the most common malignant tumor types worldwide, with a high morbidity and associated mortality. The interaction between gastric cancer cells and their microenvironment has a significant role in their maintenance and progression. Gastric tumor‑associated fibroblasts (TAFs) are among the major regulators of the gastric cancer microenvironment. Metformin, a classical anti‑diabetic drug, is known to prevent cancer progression. However, the effect of metformin on gastric TAFs and TAF‑associated cancer progression has remained to be elucidated. In the present study, TAFs were isolated from gastric cancer patients, pre‑treated with metformin and then co‑cultured with gastric cancer cell lines. It was demonstrated that pre‑treatment with 200 µM metformin reduced the stimulatory effect of TAFs on the proliferation of gastric cancer cells in co‑culture, suggesting that metformin impairs the tumor‑promoting role of TAFs. Using tandem mass tags‑based quantitative proteomic analysis, it was identified that metformin significantly affected the secretion of 32 proteins (14 upregulated and 18 downregulated) in the culture medium of gastric TAFs. Among these proteins, calmodulin‑like protein 3 (Calml3) was 2.88‑fold upregulated in the culture medium of gastric TAFs after metformin treatment and a further experiment using recombinant Calml3 indicated its suppressive effect on the clonogenicity of gastric cancer cells. It was concluded that metformin suppresses gastric cancer through stimulating Calml3 secretion from TAFs, which represents a novel anticancer mechanism of metformin.

Introduction

Gastric cancer is one of the most common types of malignancy worldwide and the second biggest health burden in China (13). Helicobacter pylori infection is the most important cause of proximal gastric cancer (4). Altered cell apoptosis, proliferation and certain modifications to tumor suppressor genes, which may lead to inflammation, also contribute to gastric oncogenesis (5). Surgery remains the only curative therapy for gastric cancer. Peri-operative and adjuvant chemotherapy as well as chemoradiation therapy may improve the outcome for patients with resectable gastric cancer (6). Cisplatin and fluoropyrimidine-based chemotherapy with the addition of trastuzumab is widely used in human epidermal growth factor receptor 2-positive patients that are fit for chemotherapy (7).

Tumors that comprise a mass of malignant epithelial cells are surrounded by multiple non-cancerous cell populations, including fibroblasts, vascular endothelial cells, adipocytes and immune regulatory cells (810). Fibroblasts were first described as non-vascular, non-epithelial and non-inflammatory cells of the connective tissue, which are embedded in the fibrillar matrix of the connective tissue (11). Fibroblasts are responsible for the deposition of the extracellular matrix (ECM), regulation of epithelial differentiation and inflammation, as well as wound healing (12). Activated fibroblasts in the tumor microenvironment are known as tumor-associated fibroblasts (TAFs) (13,14). TAFs have recently been identified to have important roles in the proliferation, metastasis and radio-/chemoresistance of cancer cells (10,15,16). Gastric cancer-associated TAFs are major regulators of the tumor microenvironment in this malignancy (17,18).

1-(Diaminomethylidene)-3,3-dimethylguanidine (metformin) is an oral anti-diabetic drug, which decreases the risk of cancer in patients with type 2 diabetes. Metformin exerts antitumor effects on multiple cancer cell lines, including ovarian (19), prostate (20), breast (21) and lung cancer cells (22). However, the mechanisms underlying the antitumor effect of metformin are complex, which include adenosine monophosphate-activated protein kinase, the phosphatidylinositol-3-kinase/Akt pathway, mammalian target of rapamycin, lipogenesis and apoptosis (2325). A previous study by our group reported that metformin suppresses the progression of gastric cancer through the hypoxia-inducible factor-1α/pyruvate kinase isoenzyme M2 pathway (26). However, the effect of metformin on TAFs and the tumor microenvironment has remained elusive.

The present study focused on the antitumor effects of metformin on TAFs regarding their subsequent interaction with cancer cells. Using a proteomics analysis, calmodulin-like protein 3 (Calml3) was identified as one of the most upregulated factors in the culture medium of gastric TAFs after treatment with metformin. Although Calml3 overexpression and knockdown models have previously demonstrated that Calml3 is able to inhibit the genesis and initiation of metastasis in hepatocellular carcinoma (HCC) (27), it has remained elusive whether Calml3 secreted from TAFs exerts any antitumor effect on gastric cancer cells. The present study was designated to reveal the antitumor effect of metformin by regulating the tumor microenvironment and provide a better understanding of the roles of Calml3.

Materials and methods

Reagents

Metformin was purchased from Sangon Biotech (Shanghai, China). Bovine serum albumin (BSA) was purchased from Sigma-Aldrich (Merck KGaA, Darmstadt, Germany). A Cell Counting Kit (CCK)-8 and trypsin were purchased from Beyotime Institute of Biotechnology (Haimen, China). Recombinant human Calml3 protein was purchased from Sino Biological (Beijing, China).

Isolation of TAFs from gastric cancer tissues

TAFs were isolated from surgically resected gastric cancer specimens from six patients treated at the First People's Hospital of Xuzhou (Suzhou, China) from January to September 2015. The six patients were male with and age of 55–60 years (median age, 57 years). Normal gastric tissues were obtained from 6 age- and gender-matched trauma patients. All patients provided written informed consent for their tissues to be used for scientific research. Ethical approval of the study was obtained from the First People's Hospital of Xuzhou (Suzhou, China). TAFs were isolated as reported previously (28) and were pooled together. Gastric cancer samples were placed in RPMI-1640 medium (HyClone; GE Healthcare, Little Chalfont, UK) containing 4% meropenem (Haibin Pharmaceutical Co., Ltd, Shenzhen, China). Tissues were cut into pieces of ~3 mm3 in volume with a scalpel, placed in 25-cm2 culture flasks and covered with 1 ml fetal bovine serum (FBS; HyClone; GE Healthcare). Next, the flasks were inverted for 48 h. After 48 h, RPMI-1640 medium supplemented with 20% FBS (HyClone; GE Healthcare) was added to the flasks, and the flasks were inverted again. Culture was performed in an incubator with humidified air containing 5% CO2 at 37°C. Following tissue attachment (2–3 days), the culture medium [Dulbecco's modified Eagle's medium (DMEM; Gibco; Thermo Fisher Scientific, Inc., Waltham, MA, USA) with 10% FBS] was changed twice per week for the next 2–3 weeks. Under these conditions, fibroblasts were explanted from tissue fragments, whereas other types of cell were mostly retained within the tissue. The fibroblasts formed multiple dense colonies that spread out on the culture dish. After 10–14 days, the cultured cells were briefly trypsinized in an incubator for 5 min and re-seeded into new flasks (passage 1). After reaching confluence, which occurred every 3–4 days, the cultured cells were split at a ratio of 1:2. All fibroblasts used in the experiments of the present study were between passages 4 and 9.

Cell culture

The SGC-7901, BGC823, GES-1 and MGT-803 (29) human gastric cancer cell lines and the human gastric TAFs were cultured in DMEM supplemented with 10% FBS, 1% penicillin-streptomycin and 1 mM sodium pyruvate. These cells were grown at 37°C in a humidified atmosphere with 5% CO2.

Cell viability assay

After centrifugation and re-suspension, cells were seeded in 96-well plates at 4,000 cells/well. The cells were co-cultured in a Transwell chamber with TAFs pre-treated with or without different concentrations of metformin. After 48 h, CCK-8 solution (Beyotime Institute of Biotechnology) was added and the plates were cultured for an additional 2 h, according to the manufacturer's instructions. The optical density was determined at 450 nm using a microplate reader (Synergy™ Neio; Biotek, Winooski, VT, USA). The cell viability of each group was determined in triplicate.

Immunofluorescence assay

Cells were washed with PBS, fixed with 4% formaldehyde and blocked with 1% BSA in PBS for 1 h at room temperature. Cells were then incubated overnight at 4°C with a primary antibody against α-smooth muscle actin (1:1,000 dilution; cat. no. ab5694; Abcam, Cambridge, UK) and subsequently with cyanine 3-conjugated secondary antibodies (1:2,000 dilution; cat. no. A0507; Beyotime Institute of Biotechnology, Haimen, China) for 1 h at room temperature. Nuclei were stained using DAPI and images were captured using an FV1200 confocal microscope (Olympus, Tokyo, Japan).

Protein extraction and tryptic digest

Gastric TAF cells were treated with 0.2 mM metformin or PBS as a control for 12 h. Equal quantities of cells from triplicate wells were mixed to generate one sample for each group. Culture medium of TAFs treated with or without metformin was collected individually. The protein solution was reduced with 10 mM DTT for 1 h at 37°C and alkylated with 20 mM iodoacetic acid (Sigma-Aldrich; Merck KGaA, Darmstadt, Germany) for 45 min at room temperature in the dark. The protein sample was diluted with 100 mM TEAB buffer to reach a final urea concentration of <2 M. Finally, trypsin was added at a 1:50 trypsin-to-protein ratio for the first digestion overnight at 37°C, and 1:100 trypsin-to-protein ratio for a second 4-h digestion at 37°C. From each sample, ~100 µg protein was digested with trypsin for subsequent analysis.

Tandem mass tag (TMT) labeling

After digestion, tryptic peptides were desalted using a Strata X C18 SPE column (Phenomenex, Torrance, CA, USA) and vacuum-dried. Peptides were reconstituted in 0.5 M TEAB and processed with a 6-plex TMT kit according to the manufacturer's protocol. One unit of each TMT reagent (defined as the amount of reagent required to label 100 µg of protein) was thawed, reconstituted in 24 µl acetonitrile (ACN), and added to each sample. Next, the peptide mixtures were incubated for 2 h at room temperature. The mixtures were pooled, desalted and dried by vacuum centrifugation.

High-performance liquid chromatography (HPLC) fractionation

The labeled peptide sample was then fractionated by high-pH reverse-phase HPLC using an Agilent 300 Extend C18 column (5-µm particles, 4.6 mm inner diameter and 250 mm length; Agilent Technologies, Inc., Santa Clara, CA, USA). Peptides were separated first, with a gradient of 2–60% ACN in 10 mM ammonium bicarbonate in water (pH 10) over 80 min, and the eluate was collected in 80 fractions. Next, the peptides were combined into 18 fractions and dried by vacuum centrifugation.

Quantitative proteomic analysis by liquid chromatography tandem mass spectrometry (LC-MS/MS)

Peptides were dissolved in 0.1% formic acid (FA) and directly loaded onto a reverse-phase pre-column (Acclaim PepMap 100; Thermo Fisher Scientific, Inc.). Next, these peptides were separated using a reverse-phase analytical column (cat. no. 164568; Thermo Fisher Scientific, Inc.). The gradient began with an increase from 8 to 22% in solvent B (0.1% FA in ACN, HPLC grade) over 26 min, followed by a further increase to 35% over 6 min, rising up to 80% over 4 min and this concentration remaining constant for the last 4 min, all at a steady flow rate of 300 nl/min on an EASY-nLC 1000 ultra (U)PLC system (Thermo Fisher Scientific, Inc.). Spectra were obtained using a Q Exactive™ plus hybrid quadrupole-Orbitrap mass spectrometer (Thermo Fisher Scientific, Inc.).

The peptides were subjected to nano spray ionization source ionization (LTQ Oribtrap; Thermo-Fisher Scientific, Inc.) followed by MS/MS in a Q Exactive™ plus that was coupled online to the UPLC. Intact peptides were detected at a resolution of 70,000. Peptides were fragmented for MS/MS using a nomalized collision energy of 33%, and the resulting ion fragments were detected at a resolution of 17,500. A top-20 data-dependent method was applied for the top 20 precursor ions above a threshold ion count of 2×104 in the MS survey scan, with 30.0-sec dynamic exclusion. The electrospray voltage applied was 2.0 kV. The automatic gain control setting of 5×104 ions was used to prevent overfilling of the ion trap. For MS scans, the m/z scan range was 350–1,800. A fixed first mass was set at and m/z ratio of 100.

Database search

The resulting spectra were processed using Mascot search engine (v.2.3.0; http://data-pc/mascot/home.html). Tandem mass spectra were searched against the UniProt Homo sapiens database (20,274 sequences; http://www.uniprot.org/). Trypsin/proline was specified as a cleavage enzyme allowing up to two missing cleavages. The mass error was set to 10 ppm for precursor ions and 0.02 Da for fragment ions. Carbamidomethyl on Cys, TMT-6plex (N-term) and TMT-6plex (K) were specified as fixed modifications, and oxidation on Met was specified as a variable modification. As cut-off criteria, a false discovery rate of <1% and a peptide ion score of >20 were used.

First, the mass error of all the identified peptides was checked. The distribution of the mass error was near zero, and usually <0.02 Da. Most of the identified peptides were between 8 and 16 amino acids in length, which agrees with the expected length of tryptic peptides and indicates that tryptic digestion was efficient.

Gene Ontology (GO) and Kyoto Encyclopedia of Genes and Genomes (KEGG) annotation

GO terms may be assigned to three domains: i) Cellular component, ii) Molecular function and iii) Biological process. GO annotation of the proteome was derived from the UniProt-GOA database (www.http://www.ebi.ac.uk/GOA/). The identified protein IDs were first converted to UniProt IDs and mapped to GO IDs in the UniProt database. Proteins lacking a UniProt-GOA annotation were analyzed using InterProScan (http://www.ebi.ac.uk/interpro/interproscan.html) to annotate the protein's functional sites based on protein sequence alignment. The proteins were then classified by GO and KEGG annotation.

Cell clonogenic assay

To perform a standard clonogenic assay, cells were seeded in 6-well plates at 1,000 cells/well. After treatment with medium containing different concentrations of recombinant Calml3 for 48 h, cells were grown for 7–10 days to allow for colony formation, subsequently fixed with pure methanol for 15 min at 37°C, and then stained with crystal violet (0.1%) for 15 min at 37°C. Clusters consisting of ≥50 cells were considered as colonies.

Statistical analysis

Values are expressed as the mean ± standard error of the mean of at least three independent experiments. The results were evaluated by one-way analysis of variance followed by the Student-Neuman-Keuls post hoc test, or Student's t-test to determine statistical significance. The statistical analyses were performed using GraphPad Prism 6 software (GraphPad, Inc., La Jolla, CA, USA). P<0.05 was considered to indicate a statistically significant difference.

Results

Co-culture with gastric TAFs increases the viability of gastric cancer cells

TAFs were isolated from gastric cancer tissue (Fig. 1A). A TAF-specific marker, α-SMA, was detected by immunocytochemistry to confirm the identity of the TAFs (Fig. 1B). The fibroblasts from normal gastric tissues did not express α-SMA at detectable levels (data not shown). Gastric cancer cells were seeded into a Transwell chamber and co-cultured with the isolated gastric TAFs (Fig. 1C). The cell viability assay demonstrated that gastric cancer cells grew faster when co-cultured with gastric TAFs than normally cultured gastric cancer cells (Fig. 1D and E). This suggests that gastric cancer TAFs promote the proliferation of gastric cancer cells, probably through the modulation of the cancer microenvironment.

Metformin decreases the effect of TAFs on the proliferation of co-cultured gastric cancer cells

Next, it was investigated whether metformin affected the tumor-promoting role of TAFs isolated from gastric cancer. Gastric TAFs were treated with different concentrations of metformin for 24 or 48 h. At concentrations of up to 1 mM, metformin only slightly influenced the viability of the TAFs (Fig. 2A and B). Next, gastric cancer cells were co-cultured with gastric TAFs in a Transwell chamber (Fig. 2C). Co-culture with TAFs that had been pre-treated with 0.2 mM metformin for 48 h, significantly decreased the proliferation of gastric cancer SGC-7901 and MGT-803 cells, compared with gastric cancer cells co-cultured with metformin-untreated TAFs (Fig. 2D and E). Although the proliferation of GES-1 was decreased when co-cultured with TAFs pre-treated with metformin, the difference was not significant (Fig. 2F). It was observed that metformin reduced the stimulatory effect of TAFs on the proliferation of gastric cancer cells, probably by altering the extracellular proteins secreted by gastric TAFs into the culture medium.

Proteomic analysis of proteins secreted from TAFs after metformin treatment

To investigate the proteomic changes in secreted proteins from gastric TAFs following metformin treatment, the proteomic profile of TAF-secreted proteins was investigated by TMT-based protein quantification (Fig. 3A). In metformin-treated TAFs, >360 differentially expressed proteins compared with those in untreated TAFs were successfully identified, including 14 significantly upregulated and 18 significantly downregulated proteins (Fig. 3B). The upregulated proteins included calmodulin-like protein 3 (Calml3), tropomyosin α-3 chain (TPM3), tissue-type plasminogen activator (PLAT) and nucleoside diphosphate kinase A (NME1).

To further determine the function and features of the identified proteins, GO annotation was performed, including protein domain, pathway and subcellular localization enrichment analysis. The differentially expressed proteins were summarized for each GO category. The proportion of differentially expressed proteins representing each subcellular location is summarized in Fig. 4A. Among the upregulated proteins, 37% were extracellular proteins, 29% were cytosolic proteins and 14% were nuclear proteins. Among the downregulated proteins, 33% were extracellular proteins, 28% were nuclear proteins and 17% were mitochondrial proteins. The results of the protein domain enrichment analysis and KEGG pathway enrichment analysis suggested that transcriptional dysregulation was significantly enhanced in cancer, whereas the extracellular matrix-receptor interaction pathway was the most significantly downregulated pathway (Fig. 4B and C). Finally, GO enrichment analysis of upregulation and downregulated proteins was performed (Figs. 5 and 6). Proteins involved in the positive regulation of protein and actin filament depolymerization were enriched among the dysregulated proteins.

Calml3 exerts a tumor-suppressive role in gastric cancer cells

The suppressive effect of metformin on the stimulatory role of TAFs on gastric cancer cells was likely to be exerted through the upregulation and downregulation of certain proteins released into the culture medium by TAFs. The further investigations were focused on the upregulated proteins, which may have potential antitumor activity. Among the dysregulated proteins identified in TAFs subjected to metformin treatment, Calml3 was most significantly upregulated, with a 2.88-fold increase in metformin-treated TAFs compared with untreated TAFs. To explore whether Calml3 secreted from gastric TAFs mediated the tumor-suppressive role of metformin, gastric cancer cells were incubated with culture medium containing different concentrations of recombinant Calml3 protein. A clonogenic assay revealed that Calml3 not only decreased the surviving fraction of gastric cancer cells, but also decreased the size of cell clones in two gastric cancer cell lines (Fig. 7A and B). These results demonstrate that Calml3 secreted from TAFs exerts a tumor-suppressive role in gastric cancer cells. Calml3 may account for the antitumor effect of metformin on the tumor microenvironment.

Discussion

Gastric cancer is one of the leading causes of cancer-associated mortality worldwide (13). It is clear that tumor-associated fibroblasts have an important role in the initiation and progression of gastric cancer. In previous co-culture experiments, TAFs increased the proliferation and progression of cancer cells and promoted angiogenesis (30,31). Injection of immortalized prostate epithelial cells together with TAFs, but not with normal fibroblasts, led to tumor formation in mice (30). The tumor growth promoting function of TAFs may be due to the secretion of cytokines that have a positive regulatory role in cancer (32). Orimo et al (31) reported that stromal fibroblasts present in invasive human breast carcinomas promote tumor growth and angiogenesis through elevated stromal cell-derived factor-1α secretion. Vermeulen et al (33) reported that TAFs secrete hepatocyte growth factor and activate β-catenin-dependent transcription, and subsequently the clonogenicity of cancer stem cells. Exosomes derived from fibroblasts have also emerged as positive mediators of cancer progression (3436). Thus, targeting TAFs or inhibiting the tumor-promoting role of TAFs has emerged as a novel strategy in cancer treatment (8,9).

Metformin is an oral anti-diabetes drug that has been widely studied due to its antitumor activity (1922). Most previous studies have focused on its direct antitumor effect on cancer cells. However, it has remained elusive whether metformin affects the tumor microenvironment or TAFs. In the present study, gastric cancer cells were co-cultured in a Transwell system with TAFs that had been pre-treated with metformin. The results indicated that the proliferation and clonogenicity were reduced in gastric cancer cells co-cultured with metformin-treated TAFs, which indicates that metformin inhibited the tumor-promoting role of TAFs that were isolated from gastric cancer cells. The culture medium from TAFs was concentrated and analyzed by LC-MS/MS to quantify the proteomic differences in metformin-treated and untreated TAFs. Proteomic analysis revealed that metformin affected the secretion of 32 proteins (14 upregulated and 18 downregulated) in the culture medium of gastric TAFs. Although the upregulated as well as the downregulated proteins are likely to be responsible for the antitumor effect of metformin, the present study we only focused on upregulated proteins, which may have potential tumor suppressor activity. Among these, Calml3 was 2.88-fold upregulated in the culture medium of gastric TAFs after treatment with 0.2 mM metformin. Further studies on the proteomic profiles of TAF secretion with other concentrations of metformin are needed.

Calml3 is a 148-amino acid calcium sensor protein (37). Rogers et al (38) reported that Calml3 is downregulated in invasive ductal carcinoma and lobular carcinoma compared with that in normal breast epithelium. Furthermore, Calml3 is expressed in the normal oral mucosa, and is downregulated during its malignant transformation (39), suggesting a potential tumor-suppressive role. A recent study by Yang et al (27) using Calml3 gain- and loss-of-function experiments suggested that Calml3 inhibits the genesis and metastasis of HCC. However, their study focused on Calml3 expressed in HCC cells, and they did not assess the potential antitumor effects of Calml3 secreted from TAFs. In the present study, recombinant Calml3 protein was added into the culture medium of gastric cancer cells to imitate the culture medium of TAFs treated with metformin. It was revealed that Calml3 exerted a tumor-suppressive effect on these gastric cancer cells by inhibiting their clonogenicity and proliferation. However, the physiological protein levels of Calml3 and whether the concentration of Calml3 used in the clonogenic assay of the present study (200 ng/ml or 1,000 ng/ml, which were determined in preliminary experiments) is physiologically achievable remains elusive. In addition, the mechanism underlying the tumor-suppressive role of Calml2 warrants further investigation.

In conclusion, the present study indicated that metformin alters the proteins secreted from TAFs to reduce their proliferative effect on gastric cancer cells. In particular, the levels of Calml3 were increased, which exerted a tumor-suppressive effect on gastric cancer cells. The present study provides novel evidence for the antitumor effects of metformin. The present study may also provide a novel antitumor strategy using Calml3, although further investigation is required in the future.

Acknowledgements

Not applicable.

Funding

This study was supported by the National Natural Science Foundation of China (grant nos. 81602101, 81502038, 81773227 and 31770911), the Key Scientific Development Program of China (grant no. 2016YFC0904702), the Wuxi Medical Innovation Team (grant no. CXTD005) and the Social Development Program of Jiangsu Province (grant nos. BE2017634 and BE2017652).

Availability of data and materials

The data and materials are available from the corresponding authors on request.

Authors' contributions

SZ and CY conceived and designed the study. GC, CY, ZT, JZ and QW performed the molecular biology experiments. GC, FA, JZ and SL drafted the manuscript and prepared the figures. FA, JC, SL and QW isolated the TAFs. JC, ZT and QZ performed the statistical analysis. QZ and SZ modified the manuscript. All authors read and approved the final version of the manuscript.

Ethics approval and consent to participate

All patients provided written informed consent for their tissues to be used for scientific research. Ethical approval of the study was obtained from the First People's Hospital of Xuzhou (Suzhou, China).

Patient consent for publication

Not applicable.

Competing interests

The authors declare that they have no competing interests.

References

1 

Van Cutsem E, Sagaert X, Topal B, Haustermans K and Prenen H: Gastric cancer. Lancet. 388:2654–2664. 2016. View Article : Google Scholar : PubMed/NCBI

2 

Chen W, Zheng R, Baade PD, Zhang S, Zeng H, Bray F, Jemal A, Yu XQ and He J: Cancer statistics in China, 2015. CA Cancer J Clin. 66:115–132. 2016. View Article : Google Scholar : PubMed/NCBI

3 

Ferlay J, Steliarova-Foucher E, Lortet-Tieulent J, Rosso S, Coebergh JW, Comber H, Forman D and Bray F: Cancer incidence and mortality patterns in Europe: Estimates for 40 countries in 2012. Eur J Cancer. 49:1374–1403. 2013. View Article : Google Scholar : PubMed/NCBI

4 

Bornschein J, Selgrad M, Warnecke M, Kuester D, Wex T and Malfertheiner P: H. pylori infection is a key risk factor for proximal gastric cancer. Dig Dis Sci. 55:3124–3131. 2010. View Article : Google Scholar : PubMed/NCBI

5 

Wang F, Meng W, Wang B and Qiao L: Helicobacter pylori-induced gastric inflammation and gastric cancer. Cancer Lett. 345:196–202. 2014. View Article : Google Scholar : PubMed/NCBI

6 

Jiang L, Yang KH, Guan QL, Zhao P, Chen Y and Tian JH: Survival and recurrence free benefits with different lymphadenectomy for resectable gastric cancer: A meta-analysis. J Surg Oncol. 107:807–814. 2013. View Article : Google Scholar : PubMed/NCBI

7 

Orditura M, Galizia G, Sforza V, Gambardella V, Fabozzi A, Laterza MM, Andreozzi F, Ventriglia J, Savastano B, Mabilia A, et al: Treatment of gastric cancer. World J Gastroenterol. 20:1635–1649. 2014. View Article : Google Scholar : PubMed/NCBI

8 

Tao L, Huang G, Song H, Chen Y and Chen L: Cancer associated fibroblasts: An essential role in the tumor microenvironment. Oncol Lett. 14:2611–2620. 2017. View Article : Google Scholar : PubMed/NCBI

9 

Shiga K, Hara M, Nagasaki T, Sato T, Takahashi H and Takeyama H: Cancer-associated fibroblasts: Their characteristics and their roles in tumor growth. Cancers. 7:2443–2458. 2015. View Article : Google Scholar : PubMed/NCBI

10 

Chung HW and Lim JB: Role of the tumor microenvironment in the pathogenesis of gastric carcinoma. World J Gastroenterol. 20:1667–1680. 2014. View Article : Google Scholar : PubMed/NCBI

11 

Kalluri R: The biology and function of fibroblasts in cancer. Nat Rev Cancer. 16:582–598. 2016. View Article : Google Scholar : PubMed/NCBI

12 

Tomasek JJ, Gabbiani G, Hinz B, Chaponnier C and Brown RA: Myofibroblasts and mechano-regulation of connective tissue remodelling. Nat Rev Mol Cell Biol. 3:349–363. 2002. View Article : Google Scholar : PubMed/NCBI

13 

Marsh T, Pietras K and McAllister SS: Fibroblasts as architects of cancer pathogenesis. Biochim Biophys Acta. 1832:1070–1078. 2013. View Article : Google Scholar : PubMed/NCBI

14 

Ostman A and Augsten M: Cancer-associated fibroblasts and tumor growth-bystanders turning into key players. Curr Opin Genet Dev. 19:67–73. 2009. View Article : Google Scholar : PubMed/NCBI

15 

Kalluri R and Zeisberg M: Fibroblasts in cancer. Nat Rev Cancer. 6:392–401. 2006. View Article : Google Scholar : PubMed/NCBI

16 

Öhlund D, Elyada E and Tuveson D: Fibroblast heterogeneity in the cancer wound. J Exp Med. 211:1503–1523. 2014. View Article : Google Scholar : PubMed/NCBI

17 

Yan Y, Wang LF and Wang RF: Role of cancer-associated fibroblasts in invasion and metastasis of gastric cancer. World J Gastroenterol. 21:9717–9726. 2015. View Article : Google Scholar : PubMed/NCBI

18 

Pang T, Wang X, Gao J, Chen W, Shen XJ, Nie MM, Luo T, Yin K, Fang G, Wang KX, et al: Fiber-modified hexon-chimeric oncolytic adenovirus targeting cancer associated fibroblasts inhibits tumor growth in gastric carcinoma. Oncotarget. 8:76468–76478. 2017. View Article : Google Scholar : PubMed/NCBI

19 

Gotlieb WH, Saumet J, Beauchamp MC, Gu J, Lau S, Pollak MN and Bruchim I: In vitro metformin anti-neoplastic activity in epithelial ovarian cancer. Gynecol Oncol. 110:246–250. 2008. View Article : Google Scholar : PubMed/NCBI

20 

Akinyeke T, Matsumura S, Wang X, Wu Y, Schalfer ED, Saxena A, Yan W, Logan SK and Li X: Metformin targets c-MYC oncogene to prevent prostate cancer. Carcinogenesis. 34:2823–2832. 2013. View Article : Google Scholar : PubMed/NCBI

21 

Zakikhani M, Dowling R, Fantus IG, Sonenberg N and Pollak M: Metformin is an AMP kinase-dependent growth inhibitor for breast cancer cells. Cancer Res. 66:10269–10273. 2006. View Article : Google Scholar : PubMed/NCBI

22 

Yu C, Jiao Y, Xue J, Zhang Q, Yang H, Xing L, Chen G, Wu J, Zhang S, Zhu W and Cao J: Metformin sensitizes non-small cell lung cancer cells to an epigallocatechin-3-gallate (EGCG) treatment by suppressing the Nrf2/HO-1 signaling pathway. Int J Biol Sci. 13:1560–1569. 2017. View Article : Google Scholar : PubMed/NCBI

23 

Safe S, Naira V and Karki K: Metformin-induced anticancer activities: Recent insights. Metformin-induced anticancer activities: Recent insights. Biol Chem. 399:321–335. 2018. View Article : Google Scholar : PubMed/NCBI

24 

Malki A and Youssef A: Antidiabetic drug metformin induces apoptosis in human MCF breast cancer via targeting ERK signaling. Oncol Res. 19:275–285. 2011. View Article : Google Scholar : PubMed/NCBI

25 

Bhalla K, Hwang BJ, Dewi RE, Twaddel W, Goloubeva OG, Wong KK, Saxena NK, Biswal S and Girnun GD: Metformin prevents liver tumorigenesis by inhibiting pathways driving hepatic lipogenesis. Cancer Prev Res (Philla). 5:544–552. 2012. View Article : Google Scholar

26 

Chen G, Feng W, Zhang S, Bian K, Yang Y, Fang C, Chen M, Yang J and Zou X: Metformin inhibits gastric cancer via the inhibition of HIF1α/PKM2 signaling. Am J Cancer Res. 5:1423–1434. 2015.PubMed/NCBI

27 

Yang B, Li M, Tang W, Liu W, Zhang S, Chen L and Xia J: Dynamic network biomarker indicates pulmonary metastasis at the tipping point of hepatocellular carcinoma. Nat Commun. 9:6782018. View Article : Google Scholar : PubMed/NCBI

28 

Yang X, Xu X, Zhu J, Zhang S, Wu Y, Wu Y, Zhao K, Xing C, Cao J, Zhu H, et al: miR-31 affects colorectal cancer cells by inhibiting autophagy in cancer-associated fibroblasts. Oncotarget. 7:79617–79628. 2016. View Article : Google Scholar : PubMed/NCBI

29 

Yu J, Dong X, Wang L, Ji H and Liu A: Antitumor effects of seleno-β-lactoglobulin (Se-β-Lg) against human gastric cancer MGC-803 cells. Eur J Pharmacol. 833:109–115. 2018. View Article : Google Scholar : PubMed/NCBI

30 

Olumi AF, Grossfeld GD, Hayward SW, Carroll PR, Tlsty TD and Cunha GR: Carcinoma-associated fibroblasts direct tumor progression of initiated human prostatic epithelium. Cancer Res. 59:5002–5011. 1999.PubMed/NCBI

31 

Orimo A, Gupta PB, Sgroi DC, Arenzana-Seisdedos F, Delaunay T, Naeem R, Carey VJ, Richardson AL and Weinberg RA: Stromal fibroblasts present in invasive human breast carcinomas promote tumor growth and angiogenesis through elevated SDF-1/CXCL12 secretion. Cell. 121:335–348. 2005. View Article : Google Scholar : PubMed/NCBI

32 

Klil-Drori AJ, Azoulay L and Pollak MN: Cancer, obesity, diabetes, and antidiabetic drugs: Is the fog clearing? Nat Rev Clin Oncol. 14:85–99. 2017. View Article : Google Scholar : PubMed/NCBI

33 

Vermeulen L, De Sousa E, Melo F, van der Heijden M, Cameron K, de Jong JH, Borovski T, Tuynman JB, Todaro M, Merz C, Rodermond H, et al: Wnt activity defines colon cancer stem cells and is regulated by the microenvironment. Nat Cell Biol. 12:468–476. 2010. View Article : Google Scholar : PubMed/NCBI

34 

Borges FT, Melo SA, Özdemir BC, Kato N, Revuelta I, Miller CA, Gattone VH II, LeBleu VS and Kalluri R: TGF-β1-containing exosomes from injured epithelial cells activate fibroblasts to initiate tissue regenerative responses and fibrosis. J Am Soc Nephrol. 24:385–392. 2013. View Article : Google Scholar : PubMed/NCBI

35 

Kahlert C and Kalluri R: Exosomes in tumor microenvironment influence cancer progression and metastasis. J Mol Med. 91:431–437. 2013. View Article : Google Scholar : PubMed/NCBI

36 

Luga V and Wrana JL: Tumor-stroma interaction: Revealing fibroblast-secreted exosomes as potent regulators of Wnt-planar cell polarity signaling in cancer metastasis. Cancer Res. 73:6843–6847. 2013. View Article : Google Scholar : PubMed/NCBI

37 

Yaswen P, Smoll A, Peehl DM, Trask DK, Sager R and Stampfer MR: Down-regulation of a calmodulin-related gene during transformation of human mammary epithelial cells. Proc Natl Acad Sci USA. 87:7360–7364. 1990. View Article : Google Scholar : PubMed/NCBI

38 

Rogers MS, Foley MA, Crotty TB, Hartmann LC, Ingle JN, Roche PC and Strehler EE: Loss of immunoreactivity for human calmodulin-like protein is an early event in breast cancer development. Neoplasia. 1:220–225. 1999. View Article : Google Scholar : PubMed/NCBI

39 

Brooks MD, Bennett RD, Strehler EE, Sebo TJ, Eckert SE and Carr AB: Human calmodulin-like protein (CLP) expression in oral squamous mucosa and in malignant transformation. J Prosthodont. 18:11–16. 2009. View Article : Google Scholar : PubMed/NCBI

Related Articles

Journal Cover

January-2019
Volume 41 Issue 1

Print ISSN: 1021-335X
Online ISSN:1791-2431

Sign up for eToc alerts

Recommend to Library

Copy and paste a formatted citation
x
Spandidos Publications style
Chen G, Yu C, Tang Z, Liu S, An F, Zhu J, Wu Q, Cao J, Zhan Q, Zhang S, Zhang S, et al: Metformin suppresses gastric cancer progression through calmodulin‑like protein 3 secreted from tumor‑associated fibroblasts. Oncol Rep 41: 405-414, 2019
APA
Chen, G., Yu, C., Tang, Z., Liu, S., An, F., Zhu, J. ... Zhang, S. (2019). Metformin suppresses gastric cancer progression through calmodulin‑like protein 3 secreted from tumor‑associated fibroblasts. Oncology Reports, 41, 405-414. https://doi.org/10.3892/or.2018.6783
MLA
Chen, G., Yu, C., Tang, Z., Liu, S., An, F., Zhu, J., Wu, Q., Cao, J., Zhan, Q., Zhang, S."Metformin suppresses gastric cancer progression through calmodulin‑like protein 3 secreted from tumor‑associated fibroblasts". Oncology Reports 41.1 (2019): 405-414.
Chicago
Chen, G., Yu, C., Tang, Z., Liu, S., An, F., Zhu, J., Wu, Q., Cao, J., Zhan, Q., Zhang, S."Metformin suppresses gastric cancer progression through calmodulin‑like protein 3 secreted from tumor‑associated fibroblasts". Oncology Reports 41, no. 1 (2019): 405-414. https://doi.org/10.3892/or.2018.6783