Literature DB >> 27374174

MiRNA-200a expression is inverse correlation with hepatocyte growth factor expression in stromal fibroblasts and its high expression predicts a good prognosis in patients with non-small cell lung cancer.

Yongbing Chen1, Menghua Du2, Jin Wang2, Pengfei Xing2, Yongsheng Zhang3, Feng Li3, Xueguan Lu2,4.   

Abstract

Cancer-associated fibroblasts (CAFs) play an important role in favoring tumor progression. However, little is known concerning expression of miRNA-200a and its potential target gene hepatocyte growth factor (HGF) in CAFs. In the present study, we investigated expression levels and prognostic significance of miRNA-200a and HGF in stromal fibroblasts of non-small cell lung cancer (NSCLC), and evaluated the correlation between miRNA-200a and HGF. In situ hybridization and immunohistochemical staining were used to investigate expression levels of miRNA-200a and HGF in 134 formalin-fixed paraffin-embedded tumor specimens from clinical stage I -IIIA NSCLC, respectively. The results showed a significant inverse correlation existed between miRNA-200a and HGF expression level in stromal fibroblasts (χ2 = 21.778, p = 0.000). In vitro, the upregulation of miRNA-200a reduced expression of HGF protein in human CAFs. The 3-year overall survival (OS) rates with low and high miRNA-200a expression in stromal fibroblasts were 39.0% and 53.4%, respectively (χ2=4.25, p=0.039). The 3-year OS rates with low and high HGF expression in stromal fibroblasts were 60.3% and 31.8%, respectively (χ2=12.55, p=0.000). The multivariate analysis showed that clinical stage and HGF expression level in stromal fibroblasts were the independent predictive factors of OS. These results suggested that miRNA-200a expression was inverse correlation with HGF expression in stromal fibroblasts. High miRNA-200a and low HGF expression in stromal fibroblasts may predict a good prognosis in patients with NSCLC.

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Keywords:  hepatocyte growth factor; lung cancer; miRNA-200a; prognosis; stromal fibroblasts

Mesh:

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Year:  2016        PMID: 27374174      PMCID: PMC5217029          DOI: 10.18632/oncotarget.10302

Source DB:  PubMed          Journal:  Oncotarget        ISSN: 1949-2553


INTRODUCTION

Lung cancer is the most common cause of cancer-related death for man and women, with an overall 5-year survival rate of 15%. Approximately 85% of lung cancer patients are NSCLC [1-2]. Tumor recurrence and distant metastases are the most common events appeared after surgical resection, which lead to poor prognosis [3]. In the past decades, treatment and molecular characteristics relating to prognosis of NSCLC were mainly focused on the cancer cells. However, recent studies revealed that the progression of tumors towards a malignant phenotype does not only depend on the cell-autonomous properties of cancer cells themselves but is also deeply influenced by tumor stroma [4]. Tumor stroma promotes tumor growth, invasion, metastases, and resistance to treatment as well as to mediate immune reaction against tumor cells [5]. The tumor stroma is formed by CAFs, macrophages, and other inflammatory cells as well as blood/lymphatic capillaries [6], and the CAFs is thought to be the main players among the cohabitating stromal cell types [7]. They favor tumor progression through secretion of soluble factors, as growth factors or inflammatory chemokines, as well as remodeling tumor extra-cellular matrix (ECM) and tumor metabolism, increasing of motility and stemness of cancer cells, and preparation of metastatic niche [4, 8]. HGF is a protein produced by CAFs that involves in promoting growth, motility and morphogenesis in cancer [9]. Grugan et al [10] found that HGF secreted by CAFs fosters the ability of transformed esophageal epithelial cells to invade into ECM. Until now, there had many studies to investigate the prognostic value of HGF expression in cancer cells for multiple cancer types [11-14]. However, little is known concerning the prognostic implication of HGF expression in stromal fibroblasts. MicroRNAs (miRNAs) are small non-coding RNA gene products about 21-25 nucleotides long, which play a pivotal role as oncogenes or tumor suppressors in various cancers [15]. In the past few years, miRNAs have emerged as promising molecular factors with potential for clinical applications in cancer diagnosis and therapy [16]. MiRNA-200 is a family of tumor suppressor miRNAs consisting of five members (miRNA-200a, miRNA-200b, miRNA-200c, miRNA-429, and miRNA-141), which is significantly involved in inhibition of epithelial-to-mesenchymal transition (EMT), repression of cancer stem cells self-renewal and differentiation, modulation of cell division and apoptosis, and reversal of chemoresistance [16]. In previous studies, miRNA-200a expression has been shown to downregulate several prognostic markers for cancer patients, such as ZEB1, ZEB2, ATRX, DLC1, HFE and HNRNPA3 [17-18]. We used TargetScan analysis (http://www.targetscan.org) to predict that HGF may be one of the target gene regulated by miRNA-200a. However, not much is known regarding miRNA-200a expression in tumor stromal fibroblasts and the relationship between miRNA-200a and HGF in cancer. In present study, therefore, we separately investigate the expression levels of miRNA-200a and its potential target gene HGF in stromal fibroblasts and cancer cells from specimens of NSCLC, and evaluate the prognostic significance of these markers in patients with clinical stage I -IIIA NSCLC after curative resection.

RESULTS

Expression of miRNA-200a and HGF in stromal fibroblasts and cancer cells

The expression of miRNA-200a and HGF was observed mainly in the cytoplasm. The percentages of high miRNA-200a expression in stromal fibroblasts and cancer cells were 59.7% (80/134) and 52.2% (70/134), respectively (Figure 1a–1d). The percentages of high HGF expression in stromal fibroblasts and cancer cells were 46.3% (62/134) and 82.1% (110/134), respectively (Figure 1e–1h). The analysis revealed a significant inverse correlation between miRNA-200a and HGF expression levels in stromal fibroblasts (χ2 = 21.778, p = 0.000; Table 1). No significant association was found between miRNA-200a and HGF expression levels in cancer cells (χ2 = 2.239, p = 0.135).
Figure 1

Expression of miRNA-200a and HGF in NSCLC (magnification ×200)

a. low miRNA-200a in stromal fibroblasts; b. high miRNA-200a in stromal fibroblasts; c. low miRNA-200a in cancer cells; d. high miRNA-200a in cancer cells; e. high HGF expression in stromal fibroblasts; f. low HGF expression in stromal fibroblasts; g. high HGF expression in cancer cells; h. low HGF expression in cancer cells.

Table 1

Association between miRNA-200a and HGF expression levels in stromal fibroblasts

HGF expression levelNo. of patientsmiRNA-200a expression levelp
Low (%)High (%)
 Low7216 (22.2)56 (77.8)0.000
 High6238 (61.3)24 (38.7)

Expression of miRNA-200a and HGF in NSCLC (magnification ×200)

a. low miRNA-200a in stromal fibroblasts; b. high miRNA-200a in stromal fibroblasts; c. low miRNA-200a in cancer cells; d. high miRNA-200a in cancer cells; e. high HGF expression in stromal fibroblasts; f. low HGF expression in stromal fibroblasts; g. high HGF expression in cancer cells; h. low HGF expression in cancer cells. To determine the regulatory role of miRNA-200a on HGF, we tested the effect of miRNA-200a elevation on HGF protein expression in human CAFs in vitro. Twenty-four hours after transfection, real-time PCR results showed that relative expression of miRNA-200a in the mimic-transfected group to be upregulated ~8-fold compared to control groups (p< 0.05; Figure 2a). The upregulation of miRNA-200a reduced the expression level of HGF protein in human CAFs. (Figure 2b)
Figure 2

Expression of target gene HGF of miRNA-200a

a. Real-time PCR analysis of miRNA-200a expression in human CAFs. Human CAFs transfected with miRNA-200a mimics and negative controls. The results indicated that miRNA-200a expression in higher in cells treated with miRNA-200a mimics; b. Western blotting analysis of CAFs treated with miRNA-200a mimics. Upregulation of miRNA-200a reduced expression of HGF.

Expression of target gene HGF of miRNA-200a

a. Real-time PCR analysis of miRNA-200a expression in human CAFs. Human CAFs transfected with miRNA-200a mimics and negative controls. The results indicated that miRNA-200a expression in higher in cells treated with miRNA-200a mimics; b. Western blotting analysis of CAFs treated with miRNA-200a mimics. Upregulation of miRNA-200a reduced expression of HGF.

Association of miRNA-200a and HGF expression and clinicopathologic characteristics

With regard to age, gender, clinical stage, pathologic type, pathologic differentiation and vascular invasion, the significant difference that correlated with miRNA-200a expression in stromal fibroblasts was observed for gender (p=0.001) and pathologic type (p=0.004), respectively. The significant associations were found between miRNA-200a expression in cancer cells and age (p=0.027) and pathologic type (p=0.000) (Table 2). The significant difference that correlated with HGF expression in stromal fibroblasts was observed for gender (p=0.019) and clinical stage (p=0.005), respectively. The significant associations were found between HGF expression in cancer cells and pathologic differentiation (p=0.001) (Table 3).
Table 2

Association between miRNA-200a expression and clinicopathologic features

VariablesNo. of patientsmiRNA-200a expression in cancer cellsmiRNA-200a expression in stromal fibroblasts
Low (%)High (%)pLow (%)High (%)P
Gender
 Male9046 (51.1)44 (48.9)0.27045 (50.0)45 (50.0)0.001
 Female4418 (40.9)26 (59.1)9 (20.5)35 (79.5)
Age (years)
 ≤637228 (38.9)44 (61.1)0.02728 (38.9)44 (61.1)0.722
 >636236 (58.1)26 (41.9)26 (41.9)36 (58.1)
Pathologic type
 Squamous carcinoma5638 (67.9)18 (32.1)0.00030 (53.6)26 (46.4)0.004
 Adenocarcinoma6523 (35.4)42 (64.6)22 (33.8)43 (66.2)
 Adenosquamous carcinoma71 (14.3)6 (85.7)2 (28.6)5 (71.4)
 Large cell carcinoma62 (33.3)4 (66.7)0 (0)6 (100.0)
Pathologic differentiation
 High108 (80.0)2 (20.0)0.5893 (30.0)7 (70.0)0.854
 Median9136 (39.6)55 (60.4)38 (41.8)53 (58.2)
 Low3320 (60.6)13 (39.4)13 (39.4)20 (60.6)
Clinical Stage*
 I3415 (44.1)19 (55.9)0.1829 (26.5)25 (73.5)0.077
 II269 (34.6)17 (65.4)11 (42.3)15 (57.7)
 IIIA7440 (54.1)34 (45.9)34 (45.9)40 (54.1)
Vascular invasion
 Negative12060 (50.0)60 (50.0)0.13150(41.7)70 (58.3)0.348
 Positive144 (28.6)10 (71.4)4 (28.6)10 (71.4)
Table 3

Association between HGF expression and clinicopathologic features

VariablesNo. of patientsHGF expression in cancer cellsHGF expression in stromal fibroblasts
Low (%)High (%)pLow (%)High (%)P
Gender
 Male9019 (21.1)71 (78.9)0.16942 (46.7)48 (53.3)0.019
 Female445 (11.4)39 (88.6)30 (68.2)14 (31.8)
Age (years)
 ≤637210 (13.9)62 (86.1)0.19437 (51.4)35 (48.6)0.561
 >636214 (22.6)48 (77.4)35 (56.5)27 (43.5)
Pathologic type
 Squamous carcinoma5615 (26.8)41 (73.2)0.12828 (50.0)28 (50.0)0.827
 Adenocarcinoma655 (7.7)60 (92.3)39 (60.0)26 (40.0)
 Adenosquamous carcinoma72 (28.6)5 (71.4)2 (28.6)5 (71.4)
 Large cell carcinoma62 (33.3)4 (66.7)3 (50.0)3 (50.0)
Pathologic differentiation
 High100 (0)10 (100.0)0.0014 (40.0)6 (60.0)0.897
 Median9112 (13.2)79 (86.8)51 (56.0)40 (44.0)
 Low3312 (36.4)21 (63.6)17 (51.5)16 (48.5)
Clinical Stage*
 I345 (14.7)29 (85.3)0.89824 (70.6)10 (29.4)0.005
 II266 (23.1)20 (76.9)16 (61.5)10 (38.5)
 IIIA7413 (17.6)61 (82.4)32 (43.2)42 (56.8)
Vascular invasion
 Negative12021 (17.5)99 (82.5)0.71966 (55.0)54 (45.0)0.392
 Positive143 (21.4)11 (78.6)6 (42.9)8 (57.1)

Prognosis analysis

The median duration of follow-up for these patients was 28 months (range, 1-58 months). The Kaplan-Meier plots showed that the 3-year OS rate of all patients was 46.7%. The 3-year OS rates with clinical stage I, II and IIIA were 81.3%, 48.4% and 27.0%, respectively (χ2=21.68, p=0.000; Figure 3a). The 3-year OS rates with low and high miRNA-200a expression in stromal fibroblasts were 37.6% and 52.3%, respectively (χ2=4.25, p=0.039; Figure 3b). The 3-year OS rates with low and high HGF expression in stromal fibroblasts were 58.8% and 31.8% (χ2=12.55, p=0.000; Figure 3c). The multivariate analysis using by Cox proportional hazard model was fitted to investigate significant covariates including variables relation to OS: clinical stage, miRNA-200a and HGF expression in stromal fibroblasts. The clinical stage and HGF expression level in stromal fibroblasts were identified as the independent predictive factors of OS (Table 4). For 56 patients with squamous carcinoma, the 3-year OS rates with low and high miRNA-200a expression in stromal fibroblasts were 39.8% and 59.7%, respectively (χ2=1.86, p=0.172). The 3-year OS rates with low and high HGF expression in stromal fibroblasts were 67.4% and 30.6% (χ2=8.67, p=0.003). For 78 patients with non-squamous carcinoma, the 3-year OS rates with low and high miRNA-200a expression in stromal fibroblasts were 34.3% and 48.7%, respectively (χ2=2.68, p=0.102). The 3-year OS rates with low and high HGF expression in stromal fibroblasts were 54.0% and 32.1% (χ2=4.57, p=0.032). For 74 patients with the stage IIIA, the 3-year OS rates with low and high HGF expression in stromal fibroblasts were 43.6% and 13.0%, respectively (χ2=10.99, p=0.001). However, no significant association was found between low and high miRNA-200a/HGF expression levels in cancer cells with respect to OS in these patients, respectively (40.8% vs. 51.8%, χ2=2.30, p=0.130; 56.8% vs. 45.1%, χ2=0.04, p=0.843).
Figure 3

Kaplan-Meier curves for patients with clinical stage I- IIIA NSCLC after curative resection

a. different clinical stage groups; b. miRNA-200a expression groups; c. HGF expression groups.

Table 4

Prognostic factors evaluated by univariate and multivariate analysis using Cox proportional hazard model (n=134)

VariablesUnivariate analysisMultivariate analysis
HR (95% CI*)pHR (95% CI*)P
Sex (male/female)0.646 (0.375-1.111)0.114
Age (>63/≤63)0.979 (0.603-1.589)0.930
AJCC stage (I/II/IIIA)2.191 (1.534-3.130)0.0002.091 (1.455-3.005)0.000
Pathologic type (SCC/AC/ASC/LCC#)1.152 (0.927-1.431)0.201
Pathologic differentiation (high/median/low)0.905 (0.569-1.439)0.674
Vascular invasion (ngative/positive)1.111 (0.507-2.433)0.792
miRNA-200a expression in cancer cells (low/high)0.692 (0.426-1.124)0.137
miRNA-200a expression in stromal fibroblasts (low/high)0.607 (0.373-0.986)0.0440.789 (0.473-1.315)0.363
HGF expression in cancer cells (low/high)1.070 (0.545-2.097)0.845
HGF expression in stromal fibroblasts (low/high)2.364 (1.440-3.882)0.0011.892 (1.120-3.195)0.017

SCC/AC/ASC/LCC: squamous carcinoma/adenocarcinoma/adenosquamous carcinoma/large cell carcinoma

CI: confidence interval

SCC/AC/ASC/LCC: squamous carcinoma/adenocarcinoma/adenosquamous carcinoma/large cell carcinoma CI: confidence interval

Kaplan-Meier curves for patients with clinical stage I- IIIA NSCLC after curative resection

a. different clinical stage groups; b. miRNA-200a expression groups; c. HGF expression groups.

DISCUSSION

The previous studies have revealed the dysregulation of miRNA-200a in various cancers, including bladder cancer, breast cancer, colorectal cancer, endometrial cancer, gastric cancer, prostate cancer, and lung cancer [17, 19–22]. However, the function of miRNA-200a may differ depending on cancer types. van Kempen et al [19] showed that decreased expression level of miRNA-200a was correlation with increasing thickness in primary melanomas and metastases. Moreover, progressive loss of miRNA-200a expression was associated with disease progression. Barron et al [20] also found that miRNA-200a overexpression can reduce prostate cancer cell growth and its lower expression may predict biochemical relapse following radical prostatectomy in prostate cancer patients. On the contrary, miRNA-200a was found to be high expression in ovarian cancer cells compared to normal human ovarian surface epithelial cells. Its high expression correlated with decreased progression-free survival [21-22]. Our results showed that miRNA-200a expression in cancer cells was correlated with pathologic type (p=0.000; Table 2). However, no significant association was found to be miRNA-200a expression level in cancer cells with respect to OS in patients with NSCLC. There had strong evidence in basic research to demonstrate that miRNA-200a inhibits EMT and suppresses lung cancer cell migration and invasion [16, 23]. Conversely, one function overexpression study has yielded conflicting results on the role of miRNA-200a in lung cancer cell migration [24]. These results indicate that the role of miRNA-200a in NSCLC is rather complex. The present study tried to explore miRNA-200a expression level in stromal fibroblasts and evaluate its prognostic value in NSCLC. Our results showed that miRNA-200a expression of stromal fibroblasts in squamous carcinoma was higher than in non-squamous carcinoma (p=0.004; Table 2), as well as its expression in cancer cells. Furthermore, the 3-year OS rate was higher in patients with high miRNA-200a expression in stromal fibroblasts compared to those with low miRNA-200a expression (p=0.039; Figure 2b). However, no significant difference of OS was found between low and high miRNA-200a expression of stromal fibroblasts in patients with squamous carcinoma or non-squamous carcinoma, respectively (p=0.172; p=0.102). We think that the limited number of patients is the main cause of these results. TargetScan analysis suggests that HGF may be one of the target gene regulated by miRNA-200a. Our results showed that a significant inverse correlation existed between miRNA-200a and HGF expression levels of stromal fibroblasts (p = 0.000; Table 1) in NSCLC specimen, whereas no significant association was found between miRNA-200a and HGF expression level in cancer cells (p = 0.135). Furthermore, in vitro, we confirmed overexpression of miRNA-200a decreased HGF protein level in human CAFs. HGF, a ligand of c-Met proto-oncogene, has been reported to increase tumorigenetic, vascularizing, and motogenic effects on lung cancer. Most of previous studies have reported that HGF was commonly overexpressed in NSCLC and its overexpression was associated with poor prognosis in patients with NSCLC [25-26]. Our results showed that the percentage of high HGF expression in cancer cells was 82.1%. HGF expression level in cancer cells was associated with pathologic differentiation (p=0.001; Table 3). However, HGF expression level in cancer cells with respect to OS was no significant association. Similarly, Pan et al [14] also found that the relapse-free survival and OS had no significant differences between lung adenocarcinoma patients with high HGF expression and those with low HGF expression. In addition, we found that high HGF expression level in stromal fibroblasts of NSCLC was 46.3%, and its expression level was correlated with clinical stage (p=0.005). Furthermore, the 3-year OS rate was higher in patients with low HGF expression in stromal fibroblasts compared to those with high HGF expression in stromal fibroblasts. The multivariate analysis showed that HGF expression level in stromal fibroblasts was an independent prognostic factor for NSCLC patients. The OS rate was also higher in low HGF expression compared to high HGF expression of stromal fibroblasts in patients with squamous carcinoma and non-squamous carcinoma, respectively (p=0.003; p=0.032). In conclusion, the results suggested that miRNA-200a expression was inverse correlation with HGF expression in stromal fibroblasts. High miRNA-200a and low HGF expression in stromal fibroblasts may predict a good prognosis in patients with NSCLC.

MATERIALS AND METHODS

Patients and specimen selection

The paraffin-embedded postoperative tissue specimens were obtained from the archives of department of pathology, the Second Affiliated Hospital of Soochow University, between January of 2010 and June of 2012. One hundred and thirty-four specimens of clinical stage I-IIIA NSCLC were retrieved. Approval for current project was obtained from the local ethics committee together with written informed consent from each patient. The main characteristics of 134 patients were summarized in Table 5. Ages of all patients in this study range from 31 to 81 years (median, 63 years). According to AJCC/UICC (6th edition), there enrolled 34 patients with stage I, 26 patients with stage II, and 74 patients with stage IIIA. All patients underwent curative resection, of which 21 patients received segmentectomy, 98 patients received lobectomy and 15 patients received pneumonectomy. Systemic adjuvant treatment was administered to 112 patients. The chemotherapeutic regimen was cisplatin-based doublet. Twenty-five patients received thoracic postoperative radiotherapy.
Table 5

Patient characteristics

CharacteristicNo. of patients (%)
Patients134 (100.0)
Median age = 63 years (range 31-81)
Gender
 Male90 (67.2)
 Female44 (32.8)
Pathologic type
 Squamous carcinoma56 (41.8)
 Adenocarcinoma65 (48.5)
 Adenosquamous carcinoma7 (5.2)
 Large cell carcinoma6 (4.5)
Pathologic differentiation
 High10 (7.5)
 Median91 (67.9)
 Low33 (24.6)
Clinical Stage*
 I34 (25.4)
 II26 (19.4)
 IIIA74 (55.2)
Vascular invasion
 Negative120 (89.6)
 Positive14 (10.4)
Treatment modality-Curative resection
 Yes134 (100.0)
 No0 (0)
Treatment modality-Adjuvant chemotherapy
 Yes112 (83.6)
 No22 (16.4)
Treatment modality-Postoperative radiotherapy
 Yes25 (18.7)
 No109 (81.3)

According to UICC/AJCC (6th edition) stage system

According to UICC/AJCC (6th edition) stage system

In situ hybridization (ISH) staining

Three serial slides, each 3-5 um thick, were cut from paraffin-embedded tissue. One slide was used to give HE staining again. Immunohistochemical staining for HGF was performed on the second slide. The third slide was used to evaluate miRNA-200a expression by ISH. In brief, the slides were incubated at 60°C for 1 hour, deparaffinized in xylene, and rehydrated with graded alcohol washes. Slides were then washed three times with diethyl pyrocarbonate-treated PBS, digested with 5 ug/ml proteinase K at 37 °C for 30 minutes, washed then dehydrated in graded alcohol. Slides were hybridized at 55°C for 2 hours with 50 nmol/L locked nucleic acid-modified digoxigenin-labeled probes for miRNA-200a (Boster, Wuhan, China). After stringency washes (5x, 1x, 0.2x SSC), slides were placed in blocking solution for 1 hour at room temperature followed by incubation in alkaline phosphatase conjugated anti-DIG Fab fragment solution at 37°C for 2 hours. Antibody signal was amplified with 4-nitro-blue tetrazolium and 5-bromo-4-chloro-3′-indolylphosphate substrate (Roche, Mannheim, Germany). Finally, hematoxylin was used as a light nuclear counterstain. The intensity histoscore with the following categories according to Donahue's description was used: 0 negative, 1 weakly positive, 2 moderately positive, and 3 strongly positive [27]. The final score between 0-1 was determined as low expression, and score between 2-3 was determined as high expression.

Immunohistochemical staining

Immunohistochemical staining was performed by two-step procedure. Upon rehydration as above, the slides were subjected to antigen retrieval by pressure-cooking for 15 minutes. Endogenous peroxidase activity was neutralized using peroxide block placement on the slides for 10 minutes at room temperature. The slides were then incubated with anti-HGF polyclonal antibody (ab83760, Abcam, Cambridge, MA; diluted 1: 200) at 4°C overnight. This was followed by incubation with peroxidase-conjugated polymer (ChemMate EnVision / HRP; Gene Tech, Shanghai, China) for 30 minutes at room temperature. The chromogen reaction was developed in 3,3′-diaminobenzidine (DAB; Gene Tech, Shanghai, China) tetrahydrochloride for 5 minutes. Finally, hematoxylin was used as a light nuclear counterstain. The percentage of positive-staining cells were graded on a scale of 0-3, with less than 5% positive-staining cells as grade 0, 5-25% as grade 1, 26-50% as grade 2, and more than 50% as grade 3. The intensity of staining also graded on a scale of 0-2, with negative to weak intensity as grade 0, weak-moderate intensity as grade 1, and moderate to strong intensity as grade 2. Finally, the score of percentage and intensity was multiplied. The final score between 0-2 was determined as low expression, and score higher than 2 was determined as high expression.

Cell culture and transfection

The fresh specimen from the resected lung adenocarcinoma tissues was used to culture CAFs. The process of primary culture and identification of CAFs has been made a detailed description in our previous study [28]. The CAFs were used to conduct experiment after 3-5 passages following primary culture. The sequence of miRNA-200a mimics and negative control are listed as below: 5′-UAACACUGUCUGGUAACGAUGUAUCGUUACCAGACAGUGUUAUU-3′ and 5′-UUCUCCGAACGUGUCACGUTTACGUGACACGUUCGGAGAATT-3′ To transfect human CAFs, 100-pmol mimics of miRNA-200a (Ribobio, Guangzhou, China) and negative control in 200ul of serum-free medium were mixed with 5ul of Lipofectamine 2000 transfection reagent (Ribobio), dissolved in 200ul of the same medium, respectively. The resulting transfection solutions were then added to each well containing 1.6 ml of the medium. The culture was replaced with differentiation medium after 6. 0 h.

Quantative real-time PCR analysis

Total RNA was harvested from human CAFs using the miRNeasy Mini kit (Qiagen GmbH, Hilden, Germany) according to the manufacturer's recommendations. Total RNA was subsequently reverse transcribed to cDNA with the stem-loop reverse transcription primer (Beijing Genomics Institute, Beijing, China) for miRNA-200a detection. The primer sequences are listed as below: (1) miRNA-200a RT: 5′-GTCGTATCCAGTGCGTGTCGTGGAGTCGGCAATTGCACTGGATACGACACATCGT-3′; (2) miRNA-200a qPCR-F: 5′-GGGGTAACACTGTCTGGTAG-3′. Real-time -PCR was carried out using SYBR Premix Ex Taq™ (Takara Biotechnology, Dalian, China). The reactions were placed in a 96-well plate using a preheated real-time instrument (ABI 7500HT; Applied Biosystems Life Technologies). The relative levels of expression were quantified and analyzed using Bio-Rad iCycler iQ software (Bio-Rad Laboratories, Hercules, CA, USA). Ct values were used to calculate the RNA expression levels. The amount of miRNA-200a expression (2−ΔΔCt) was normalized using the endogenous U6 reference.

Western blotting analysis

Briefly, human CAFs were lysed in a buffer consisting of 50 mM Tris-HCl (pH 6.8). After brief sonication, lysates were clarified by centrifugation at 12 000 × g for 10 min at 4°C, and protein content in the supernatant was measured according to the Bradford method. Aliquots (80-100 ug of protein per lane) of total protein were separated by 8% SDS-polyacrylamide gel electrophoresis and blotted onto nitrocellulose transfer membranes (Beyotime, China). Each membrane was blocked with 5% non-fat dry milk in TBS-T for 1.5 h at room temperature, followed by incubation with the antibody HGF (diluted 1: 1000) overnight at 4°C. After extensive washing with TBST, each membrane was further incubated with horseradish peroxidase-conjugated anti-rabbit secondary antibodies (1:5000) for 2.0 h at room temperature in TBST containing 5% non-fat dry milk. Detection was performed using an enhanced chemiluminescence reagent (Beyotime, China), according to the manufacturer's protocol.

Statistical analysis

The relationships between miRNA-200a and HGF expression in cancer cells or stromal fibroblasts and clincopathologic characteristics were examined by Spearmann correlation coefficient test. OS rates were performed by the Kaplan-Meier method and log-rank test. The Cox proportional hazard model was used for univariate and multivariate analysis. Overall survival duration was defined from the day of surgery to the day of death or last follow-up. For all tests, a two-sided p< 0.05 was considered significant.
  28 in total

1.  Biochemical relapse following radical prostatectomy and miR-200a levels in prostate cancer.

Authors:  Niall Barron; Joanne Keenan; Patrick Gammell; Vanesa G Martinez; Alex Freeman; John R Masters; Martin Clynes
Journal:  Prostate       Date:  2011-12-07       Impact factor: 4.104

2.  MicroRNA expression profiles in serous ovarian carcinoma.

Authors:  Eun Ji Nam; Heejei Yoon; Sang Wun Kim; Hoguen Kim; Young Tae Kim; Jae Hoon Kim; Jae Wook Kim; Sunghoon Kim
Journal:  Clin Cancer Res       Date:  2008-05-01       Impact factor: 12.531

3.  MicroRNA-200a Targets EGFR and c-Met to Inhibit Migration, Invasion, and Gefitinib Resistance in Non-Small Cell Lung Cancer.

Authors:  Qiang Zhen; Junfeng Liu; Lina Gao; Jiabao Liu; Renfeng Wang; Weiwei Chu; Yaxiao Zhang; Guoliang Tan; Xiaojian Zhao; Baolei Lv
Journal:  Cytogenet Genome Res       Date:  2015-07-11       Impact factor: 1.636

4.  Stromal microRNA-21 levels predict response to 5-fluorouracil in patients with pancreatic cancer.

Authors:  Timothy R Donahue; Andrew H Nguyen; Jennifer Moughan; Luyi Li; Sergei Tatishchev; Paul Toste; James J Farrell
Journal:  J Surg Oncol       Date:  2014-08-17       Impact factor: 3.454

5.  Predicting postrecurrence survival among completely resected nonsmall-cell lung cancer patients.

Authors:  Brent A Williams; Hiroshi Sugimura; Chiaki Endo; Francis C Nichols; Stephen D Cassivi; Mark S Allen; Peter C Pairolero; Claude Deschamps; Ping Yang
Journal:  Ann Thorac Surg       Date:  2006-03       Impact factor: 4.330

Review 6.  MiR-200, a new star miRNA in human cancer.

Authors:  Xiangling Feng; Zhengming Wang; Rebecca Fillmore; Yaguang Xi
Journal:  Cancer Lett       Date:  2013-11-19       Impact factor: 8.679

7.  MiR-200a enhances the migrations of A549 and SK-MES-1 cells by regulating the expression of TSPAN1.

Authors:  Yaqing Chen; Wei Peng; Yixiang Lu; Jianxin Chen; York Yuanyuan Zhu; Tao Xi
Journal:  J Biosci       Date:  2013-09       Impact factor: 1.826

8.  Elevated levels of circulating microRNA-200 family members correlate with serous epithelial ovarian cancer.

Authors:  Casina W S Kan; Michael A Hahn; Gregory B Gard; Jayne Maidens; Jung Yoon Huh; Deborah J Marsh; Viive M Howell
Journal:  BMC Cancer       Date:  2012-12-28       Impact factor: 4.430

9.  Unique microRNAs in lung adenocarcinoma groups according to major TKI sensitive EGFR mutation status.

Authors:  Min Gyoung Pak; Chang-Hun Lee; Woo-Jeong Lee; Dong-Hoon Shin; Mee-Sook Roh
Journal:  Diagn Pathol       Date:  2015-07-12       Impact factor: 2.644

10.  The microRNA-200 family targets multiple non-small cell lung cancer prognostic markers in H1299 cells and BEAS-2B cells.

Authors:  Maricica Pacurari; Joseph B Addison; Naveen Bondalapati; Ying-Wooi Wan; Dajie Luo; Yong Qian; Vincent Castranova; Alexey V Ivanov; Nancy Lan Guo
Journal:  Int J Oncol       Date:  2013-05-27       Impact factor: 5.650

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  9 in total

Review 1.  Epigenetic control of the tumor microenvironment.

Authors:  David L Marks; Rachel Lo Olson; Martin E Fernandez-Zapico
Journal:  Epigenomics       Date:  2016-10-04       Impact factor: 4.778

2.  MicroRNA-211 expression is down-regulated and associated with poor prognosis in human glioma.

Authors:  Jun Zhang; Jianguang Lv; Feng Zhang; Hongmin Che; Qiwei Liao; Wobin Huang; Shaopeng Li; Yuqian Li
Journal:  J Neurooncol       Date:  2017-05-27       Impact factor: 4.130

3.  Hepatocyte growth factor is a prognostic marker in patients with colorectal cancer: a meta-analysis.

Authors:  Chao-Yuan Huang; Qian-Yi Zhou; Yue Hu; Yi Wen; Zhen-Wen Qiu; Man-Guang Liang; Jun-Ling Mo; Jian-Hua Xu; Cong Sun; Feng-Bin Liu; Xin-Lin Chen
Journal:  Oncotarget       Date:  2017-04-04

4.  miRNAtools: Advanced Training Using the miRNA Web of Knowledge.

Authors:  Ewa Ł Stępień; Marina C Costa; Francisco J Enguita
Journal:  Noncoding RNA       Date:  2018-02-16

Review 5.  Updates on the hepatocyte growth factor/c-Met axis in hepatocellular carcinoma and its therapeutic implications.

Authors:  Javier A García-Vilas; Miguel Ángel Medina
Journal:  World J Gastroenterol       Date:  2018-09-07       Impact factor: 5.742

6.  Prognostic Role of MicroRNAs in Human Non-Small-Cell Lung Cancer: A Systematic Review and Meta-Analysis.

Authors:  Shree Ram Lamichhane; Thanuja Thachil; Paolo De Ieso; Harriet Gee; Simon Andrew Moss; Natalie Milic
Journal:  Dis Markers       Date:  2018-10-21       Impact factor: 3.434

7.  Epigenetic activation of hepatocyte growth factor is associated with epithelial-mesenchymal transition and clinical outcome in non-small cell lung cancer.

Authors:  Jun Yin; Weimin Hu; Xingyang Xue; Wenfan Fu; Lu Dai; Zeyong Jiang; Shengpeng Zhong; Boyun Deng; Jian Zhao
Journal:  J Cancer       Date:  2019-08-28       Impact factor: 4.207

Review 8.  The promising role of noncoding RNAs in cancer-associated fibroblasts: an overview of current status and future perspectives.

Authors:  Zengli Fang; Jin Xu; Bo Zhang; Wei Wang; Jiang Liu; Chen Liang; Jie Hua; Qingcai Meng; Xianjun Yu; Si Shi
Journal:  J Hematol Oncol       Date:  2020-11-19       Impact factor: 17.388

Review 9.  Exosomal miRNAs and miRNA dysregulation in cancer-associated fibroblasts.

Authors:  Fengming Yang; Zhiqiang Ning; Ling Ma; Weitao Liu; Chuchu Shao; Yongqian Shu; Hua Shen
Journal:  Mol Cancer       Date:  2017-08-29       Impact factor: 27.401

  9 in total

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