CCL25 promotes the migration and invasion of non‑small cell lung cancer cells by regulating VEGF and MMPs in a CCR9‑dependent manner
- Authors:
- Published online on: April 2, 2020 https://doi.org/10.3892/etm.2020.8635
- Pages: 3571-3580
-
Copyright: © Niu et al. This is an open access article distributed under the terms of Creative Commons Attribution License.
Abstract
Introduction
Lung cancer is the leading cause of cancer-related death worldwide, 85% of which is non-small cell lung cancer (NSCLC) (1), which usually invades the regional or distant lymph nodes, brain and liver (2,3). Metastasis is typically the most common risk of death in NSCLC, which suggests that blocking the migration and invasion of tumor cells might be a possible therapeutic strategy.
A previous study identified that migration and invasion of tumor cells could be regulated by chemokines and their receptors (4). Chemokines, which are a family of small, structurally related heparin-binding proteins classified as C, CXC, CC and CX3C sub-families (5,6), are essential to the normal and pathologic trafficking of leukocytes. The biological functions of chemokines are mediated via G-protein-coupled receptors, which play an important role in inflammation and leukocyte differentiation. It has been demonstrated that various cell types may express different chemokine receptors, such as C-X-C chemokine receptor type 2 (CXCR2) (7), C-X-C chemokine receptor type 4 (CXCR4) (8), C-C chemokine receptor type 6 (CCR6) (9) and C-C chemokine receptor type 9 (CCR9) (10). High expression of CXCR2, CXCR4 and CCR9 with their respective ligands C-X-C motif chemokine 8, C-X-C motif chemokine 12 and CC motif chemokine ligand 25 (CCL25) was associated with tumor metastasis and poor survival in NSCLC (11-13). We previously demonstrated that CCR9 and CCL25 interaction could suppress apoptosis in a phosphoinositide 3-kinase/Akt-dependent model in the NSCLC cell lines A549 and SK-MES-1(14). However, the exact molecular mechanism of migration and invasion in NSCLC remains elusive.
The present study aimed to examine the potential association between the CCL25/CCR9 axis and key molecules involved in lung cancer cell migration, and to verify further the association between the CCL25/CCR9 axis and key molecules examined (VEGF-C, VEGF-D, MMP-1 and MMP-7) by CCR9 drug treatment experiments. A Kaplan-Meier survival analysis was used to further confirm the association between the CCL25/CCR9 axis and prognosis of lung cancer.
Materials and methods
Study design
A total of 60 patients with NSCLC who underwent surgery in The Huadong Hospital Affiliated with Fudan University were enrolled in the present study between September 2012 and December 2015. Tumor tissues and adjacent normal tissues were collected and paraffin-embedded. Neither chemotherapy nor immunotherapy was performed prior to surgery. A double pathological diagnosis was performed prior to enrolling the patients in the present study. The median age of these patients was 58 years, with the age ranging from 31 to 76. Further patient information is presented in Table I. The present study protocol was approved by The Ethics Committee Review Board of The Huadong Hospital Affiliated with Fudan University, and written informed consent was obtained from every participant.
Immunohistochemistry (IHC) assay
Formalin-fixed (10%, for 8 h at room temperature), paraffin-embedded tissues were sliced into 4-µm sections using a microtome, then successively deparaffinized with xylene, rehydrated in a descending alcohol series and rinsed with PBS followed by high-pressure antigen retrieval in a microwave oven with citrate buffer (100˚C for 5 min and then 24˚C for a further 3 min). Subsequently, sections were treated with 3% H2O2 for 10 min at room temperature to block endogenous peroxidase. The sections were washed with PBS three times for 10 min each and then blocked with 10% normal goat serum (Beijing Solarbio Science & Technology Co., Ltd.) for 30 min at room temperature. The tissue sections were subsequently incubated with anti-CCR9 (1:200; cat. no. ab1662; Abcam), anti-vascular endothelial growth factor (VEGF; 1:200; cat. no. AF0312; Beyotime Institute of Biotechnology) anti-matrix metalloproteinase (MMP)-1 (1:500; cat. no. ab137332; Abcam) or anti-MMP-7 (1:500; cat. no. ab205525; Abcam) antibodies overnight at 4˚C. The slides were then incubated with horseradish peroxidase (HRP)-conjugated goat anti-mouse antibody (1:50; cat. no. A0216, Beyotime Institute of Biotechnology) or HRP-conjugated goat-anti-rabbit antibody (1:50; cat. no. A0208; Beyotime Institute of Biotechnology) at room temperature for 60 min. Finally, the sections were washed with PBS, then stained with diaminobenzidine and hematoxylin (Beyotime Institute of Biotechnology) at room temperature for 5 min. The sections were observed under a light microscope (magnification, x200; BX-43; Olympus Corporation). A semi-quantitative scoring system (15) was applied to assess the expression of CCR9, VEGF, MMP-1 and MMP-7 in the specimens based on the average intensity and density of positively stained cells by IHC. Staining intensity was graded as follows: i) 0, no staining; ii) 1, weak staining; iii) 2, moderate staining; and iv) 3, strong staining. The density of positively stained cells was scored according to the following criteria: i) 0, ≤5%; ii) 1, 5-25%; iii) 2, 26-50%; and iv) 3, >50%. The total IHC score was calculated by multiplying the intensity score by the density score. A total IHC score >0 was defined as positive expression and a total IHC score=0 was defined as negative expression.
Cell culture
The NSCLC cell lines SK-MES-1 [squamous cell carcinoma (SCC)] and A549 [adenocarcinoma (AC)] were purchased from The Kunming Institute of Zoology, Chinese Academy of Sciences. Cells were cultured in RPMI-1640 medium (Gibco; Thermo Fisher Scientific, lnc.) containing 10% FBS (Gemini Bio Products), 100 U/ml penicillin and 100 µg/ml streptomycin in 5% CO2 at 37̊C. Before migration and invasion studies, lung cancer cells were cultured for 24 h in RPMI-1640 with 2% FBS.
Reverse transcription-quantitative PCR (RT-qPCR) primer design
The human mRNA sequences for VEGF-C, VEGF-D, MMP-1, MMP-7 and GAPDH were obtained from The National Institutes of Health National Center for Biotechnology Information (Genbank Database Accession nos. NM_005429.4, NM_004469.4, NM_001145938.2, NM_002423.5 and BC004109, respectively). These sequences were used to design primers for RT-qPCR analysis. The primer sequences were as follows: VEGF-C forward, 5'-AGCACGAGCTACCTCAGCAAGAC-3' and reverse, 5'-TTTAGACATGCATCGGCAGGAA-3'; VEGF-D forward, 5'-AGCTGCCTGATGTCAACTGCTTA-3' and reverse, 5'-GTTCATTACTGGAGCCCTGCAC-3'; MMP-1 forward 5'-AAGAATGATGGGAGGCAAGT-3' and reverse, 5'-GGTTTCAGCATCTGGTTTCC-3'; MMP-7 forward 5'-GAGTGAGCTACAGTGGGAACA-3' and reverse, 5'-CTATGACGCGGGAGTTTAACAT-3' and GAPDH forward, 5'-GACGGCAAGATGCACATCAC-3' and reverse, 5'-GAGATGTAGCACGGGATCATGG-3'.
RNA isolation and RT-qPCR analysis
Total RNA was isolated from lung cancer cells using the RNA Simple Total RNA kit (Tiangen Biotech Co., Ltd.). Cells were untreated, CCL25-treated or CCL25-treated and stained with anti-CCR9 antibody, cDNA was generated using the Quantscript RT kit (Tiangen Biotech Co., Ltd.) according to the manufacturer's protocols. Real-time RT-qPCR was performed using a 2X Taq PCR MasterMix (Tiangen Biotech Co., Ltd.) in a ABI7500 instrument (Applied Biosystems; Thermo Fischer Scientific, Inc.) using the following thermocycling conditions: Initial denaturation for 3 min at 94˚C, followed by 30 cycles of 94˚C for 30 sec, 55˚C for 30 sec and 72˚C for 1 min, prior to final extension at 72˚C for 5 min. The expression of GAPDH was measured in each sample as an endogenous control. The ratio of mRNA expression was calculated for each group using the 2-ΔΔCq method (16).
Western blot analysis
The A549 and SK-MES-1 cell lines were treated with 100 ng/ml CCL25 (cat. no. 300-45; PeproTech, Inc.) or CCL25 (100 ng/ml) with 5 µg/ml anti-CCR9 antibody (cat. no. ab1662; Abcam) at 37̊C and 5% CO2 for 48 h. Untreated cells were used as controls. Total protein from untreated and treated cells was washed with cold PBS and isolated in modified radio-immunoprecipitation assay buffer (50 mM Tris-Cl at pH 7.5; 150 mM NaCl; 1% NP-40; 1.0% sodium deoxycholate; 1% PMSF and 0.1% SDS) and quantified using the bicinchoninic acid method (Beyotime Institute of Biotechnology). Proteins were loaded (100 µg per lane) and resolved by SDS-PAGE on 10% gels using Tris-glycine-SDS buffer (25 mM Tris; 192 mM glycine and 0.1% SDS; pH 8.8). Proteins were transferred to polyvinylidene fluoride membranes (EMD Millipore) using a wet transfer apparatus (Bio-Rad Laboratories, Inc.). Membranes were incubated in blocking buffer (5% non-fat milk dissolved in TBS + 0.1% Tween-20) for 1 h at room temperature. After blocking, membranes were incubated with anti-VEGF-C (1:500; cat. no. ab83905; Abcam), anti-VEGF-D (1:800; cat. no. ab155288; Abcam), anti-MMP-1 (1:1,000; cat. no. ab137332; Abcam), anti-MMP-7 (1:1,000; cat. no. ab205525; Abcam) and anti-GAPDH (1:2,000; cat. no. ab8245; Abcam) antibodies overnight at 4̊C. Membranes were then washed in wash buffer (TBS + 0.1% Tween-20) three times for 10 min each time. After washing, membranes were incubated with the secondary antibodies for 2 h at 37̊C. The secondary antibodies were horseradish peroxidase-conjugated goat anti-rabbit antibody (1:8,000; cat. no. ab205718; Abcam) or goat-anti-mouse antibody (1:8,000; cat. no. ab205719; Abcam). Following incubation, membranes were washed five times with washing buffer for 6 min each time. The immunoreactive bands were detected using the ECL Plus reagent (Beyotime Institute of Biotechnology). ImageJ software (version 1.5.2; https://imagej.nih.gov/ij) was used to quantify the data from three independent experiments. Bands from untreated cells were given a value of 1.0 and the protein levels of treated groups were normalized to this value.
Migration and invasion assays
Migration and invasion studies were performed using Corning Biocoat™ Matrigel® invasion chambers with 8-µm pore size (Corning, Inc.). Serum-free RPMI-1640 was added to the bottom and top chambers and allowed to hydrate the membrane for 2 h at 37̊C with 5% CO2. Subsequently, 1x104 cells were seeded to the top chamber and 100 ng/ml CCL25 (PeproTech, Inc.) was added into the bottom chamber as a chemo-attractant. To determine if the migration and invasion of lung cancer cells was mediated specifically by CCL25/CCR9 interaction, cells pre-incubated with 5.0 µg/ml anti-CCR9 antibody (Abcam) were added to the top chamber and allowed to migrate or invade in the presence of CCL25 at 37̊C with 5% CO2 overnight. After incubation, non-migrating cells in the upper surface of the membrane were removed. Cells at the bottom surface of the insert were fixed with 100% methanol for 10 min at room temperature, stained for 2 min with crystal violet (Beijing Solarbio Science & Technology Co., Ltd.) at room temperature and washed twice with deionized water. Migrated or invaded cells were counted using a light microscope (magnification, x200). All experiments were repeated three times for validation.
Bioinformatics analysis
The Kaplan-Meier Plotter online tool (http://kmplot.com/analysis/index.php?p=service&cancer=lung) was used to investigate the association between CCR9 and CCL25 mRNA expression and clinical prognosis for patients with NSCLC (n=1,926) (17). In this database (http://kmplot.com), multiple independent transcriptomic datasets, generated using caBIG (http://cabig.cancer.gov), GEO (http://www.ncbi.nlm.nih.gov/geo/) and TCGA (http://cancergenome.nih.gov), are merged and the gene expression data and survival information were analysed, where the hazard ratio (HR), 95% confidence interval (CI) and log-rank P-value was determined and displayed. P<0.05 was considered to indicate a statistically significant difference. The mutational level of CCR9 and CCL25 was determined using the cBioPortal for Cancer Genomics website (http://www.cbioportal.org/).
Statistical analysis
All values are presented as the mean ± SD. Associations between CCR9 expression and clinicopathological parameters were assessed using the χ2 test as well as the Fisher's exact test. Statistically significant differences between groups were analyzed by one-way ANOVA with Tukey's post hoc test. Data were analyzed using SPSS 20.0 software (IBM Corp.) and GraphPad Prism 7 (GraphPad Software, Inc.). P<0.05 was used to indicate a statistically significant difference.
Results
CCR9, VEGF, MMP-1 and MMP-7 expression in NSCLC tissue
CCR9, VEGF, MMP-1 and MMP-7 were located on the cell membrane and/or the cytoplasm in the cancer tissues (Fig. 1). The positive rates of CCR9, VEGF, MMP-1 and MMP-7 were significantly higher in the lung cancer tissues compared with the adjacent normal tissues (Table I).
Association between CCR9 expression and clinical parameters in NSCLC
The CCR9 positive rate was higher in AC than SCC tissues. Additionally, CCR9 positivity was also significantly higher in the presence of lymph node metastasis. Moreover, CCR9 positive rates were significantly higher in VEGF, MMP-1 or MMP-7-positive tissue, compared with VEGF, MMP-1 or MMP-7-negative tissue, respectively. However, no significant difference in CCR9 expression was observed when patients were stratified by sex or age (Table II).
 | Table IIExpression of CCR9, VEGF, MMP-1 and MMP-7 in tumor tissues and adjacent normal tissues in patients with non-small cell lung cancer. |
CCL25 induces the migration and invasion of NSCLC cells
A549 and SK-MES-1 cells lines demonstrated increased proliferative ability compared with the control (P<0.05) when treated with 100 ng/ml recombinant CCL25. Both A549 and SK-MES-1 cells were highly responsive in both migration and invasion assays (Fig. 2). Notably, the chemo-attractant effect of CCL25 was specific to CCR9 as demonstrated by the anti-CCR9 antibody blocking the chemo-attracttant effect (Fig. 2; P<0.05).
CCL25 modulates VEGF-C, VEGF-D, MMP-1 and MMP-7 expression in NSCLC cells
At the transcriptional and protein level, the expressions of VEGF-C, VEGF-D, MMP-1 and MMP-7 were upregulated in the A549 and SK-MES-1 cell lines after CCL25 stimulation (Figs. 3 and 4; P<0.05 in all cases). Furthermore, CCL25-induced upregulation was reversed by anti-CCR9 antibody treatment (Figs. 3 and 4; P<0.05 in all cases). However, MMP-7 protein expression was not modified by CCL25 or anti-CCR9 antibody in the SK-MES-1 cells (P>0.05).
Survival analysis of CCR9 and CCL25 in patients with NSCLC
The association between CCR9 and CCL25 positive rates, and clinical prognosis in patients with NSCLC (n=1,926) was examined using a Kaplan-Meier analysis. Patients with lower CCR9 expression demonstrated better overall survival (OS), compared with those with higher CCR9 expression (HR=1.14; P=0.042; Fig. 5A). In addition, patients with lower CCL25 expression had better OS, compared with those with higher CCL25 expression (HR=1.13; P=0.05; Fig. 5B). Although the results presented in Fig. 5A are only marginally statistically significant, the actual OS benefits of low CCR9 and CCL25 expression in months are substantial. Indeed, in the case of CCR9, the OS benefit for high expression, compared with low expression, was as follows: i) 50 months, 357 compared with 471; ii) 100 months, 72 compared with 131; iii) 150 months, 11 compared with 46; and iv) 200 months, 1 compared with 6. In the case of CCL25, the OS benefit for high expression, compared with low expression, was as follows: i) 50 months, 354 compared with 474; ii) 100 months, 80 compared with 123; iii) 150 months, 14 compared with 43; and iv) 200 months, 1 compared with 6. Moreover, in a sub-group analysis, low levels of CCR9 mRNA were significantly associated with an improved OS for patients who never smoked (Fig. 5C; HR=2.22; P<0.01). However, there was no similar association between the expression of CCL25 mRNA and OS among patients who never smoked (Fig. 5D; HR=1.49; P=0.16). Furthermore, low levels of both CCR9 and CCL25 mRNA were indicative of a favorable OS outcome among patients who smoked (Fig. 5E and F).
Mutation analysis
The mutation status of CCR9 and CCL25 in lung tumor tissues was examined using the public database of cBioPortal for Cancer Genomics (Fig. 6). As presented in Fig. 6B, CCR9 had a somatic mutation rate of 0.26% in NSCLC (3/1,144) in a TCGA 2016 study (18), 0.55% in lung AC (1/183) in the Imielinski et al (19) study. For lung SCC, the CCR9 mutational rates were found to be 0.62 (3/487), 0.56 (1/178) and 0.2% (1/511) in TCGA PanCan (20), TCGA pub (21) and TCGA studies (http://gdac.broadinstitute.org/runs/stddata_2016_01_28/data/LUSC/20160128/gdac.broadinstitute.org_LUSC.Mutation_Packager_Calls.Level_3.2016012800.0.0.tar.gz), respectively.
CCL25 had a somatic mutation rate of 0.17% (2/1,144) in NSCLC data from TCGA 2016 study and 0.53% (3/566) in lung AC data from TCGA PanCan study (Fig. 6C). Altogether, these results suggested that mutation of CCR9 and CCL25 is a rare occurrence in patients with NSCLC. This is in stark contract with epidermal growth factor receptor (EGFR), which has a mutational rate of ~10% in Caucasian patients with NSCLC and ≤50% of Asian patients with NSCLC (22-24), or ALK receptor tyrosine kinase (ALK) with a 3-5% rate in patients with NSCLC (25).
Discussion
In the present study, the CCL25/CCR9 signaling axis was demonstrated to regulate the expression of VEGF-C, VEGF-D, MMP-1 and MMP-7, and may promote the invasion and migration of the lung cancer cells. Survival analysis demonstrated that patients with lower expression of CCL25 or CCR9 in their tumors displayed better prognosis.
Chemokines are known mediators of leukocyte trafficking and host defense (26), Indeed, previous studies have determined that the involvement of chemokine receptors is of importance in patient prognosis (27), apoptosis (28) and metastatic (29) signaling machinery in various cancer types. Among all the chemokine receptors, studies on the role of CXCR4 have been more extensive. These previous studies suggested that CXCR4 (8,12,30-32) was highly expressed in NSCLC, and functional blockade of this interaction could inhibit metastasis to the bone marrow, lymph nodes or pleural space. These findings highlight the effect of chemokine/chemokine receptor signaling on the metastatic potential of NSCLC.
Several steps are required to achieve metastasis, including active migration, extracellular matrix degradation and adhesion to vascular endothelial cells. Migration and invasion associated with metastatic potential can be triggered by chemokine binding to chemokine receptor on the cell surface (33,34). Tumor lymphangiogenesis was previously found to be associated with the VEGF-C/VEGF-D/VEGF receptor-3 (VEGFR-3) signaling axis (35,36). Previous studies have determined VEGF-C activates VEGFR-3, which in turn promotes proliferation (37), migration (38) and apoptosis protection (39). In various cancer types, the tumor cells produce VEGF-C and recruit monocytes or macrophages into tumor tissue (40). These monocytes and macrophages differentiate to M2-polarized tumor-associated macrophages, which also produce VEGF-C, and further increase lymphatic vessel development (41). Moreover, lymph-angiogenic factors derived from normal lymphatic cells can reprogram the gene expression profile of these cells and convert them to tumor-derived lymphatic cells during tumor development and progression (42). Tumor-derived lymphatic cells express specific lymphatic markers, such as VEGFR-3 and lymphatic vessel endothelial receptor 1, and form a lymphatic system in vivo (43).
VEGF-C and VEGF-D, members of the VEGF family, have been demonstrated to stimulate the proliferation of lymphatic endothelial cells, and to promote lymphatic invasion and lymph node metastasis through VEGFR-3 signaling, which is critical for the growth of lymphatic vessels (44,45). These findings provided theoretical evidence for the role of VEGF-C and VEGF-D in promoting cancer metastasis (46). In the present study, VEGF expression was higher in NSCLC tumors compared with the tumor-adjacent normal tissues, and CCL25 treatment upregulated the expression of VEGF-C and -D in lung cancer cell lines, which could be blocked by the anti-CCR9 antibody. The aforementioned results were consistent with previous cancer-related studies on VEGF (47,48).
In addition to VEGF-C and -D, the metalloproteinases MMP-1 and MMP-7, which serve as predominant components in the degradation of collagenous extracellular matrix, play a critical role in cancer biology, including cell migration, invasion and angiogenesis (49,50). Previous studies (51-53) have demonstrated an important role for MMP-1 and MMP-7 in the development of various cancer types; however, the effect of MMP-1 and MMP-7 have not been well characterized in NSCLC. In the present study, it was observed that the migration and invasion of lung cancer cells was enhanced by CCL25 treatment. This provides insight on a potential association between the CCL25/CCR9 interaction, and the migration and invasion of lung cancer cells. CCL25 was identified to influence the secretion of VEGF-C, VEGF-D, MMP-1 and MMP-7 in NSCLC cells, which influenced migratory and invasive potential in vitro. In addition, low expression of CCR9 and CCL25 is associated with good OS in NSCLC. In consideration of our previous study (14) and the present study, the CCL25/CCR9 axis may promote the invasion and migration of cancer cells through modulation of VEGF-C, VEGF-D, MMP-1 and MMP-7.
In the present study, another notable result was the low mutation of CCR9 and CCL25, compared with EGFR. For clinical therapy, the effectiveness of either ALK or EGFR inhibitors is restricted by the eventual occurrence of drug resistance despite the initial promising responses. Considering the low mutation rates of CCL25 and CCR9 in NSCLC, future research should focus on targeting the CCL25/CCR9 axis.
There are several limitations in the present study. Firstly, only a blocking antibody was used to validate the expression of CCL25 and CCR9 on lung cancer cell lines. Additional methods of altering the signaling pathway, such as with gene expression manipulation with lentivirus, for example, would additionally be informative. In vivo animal experiments would also be valuable in helping to understand this signaling pathway in lung cancer cells. Investigating the effect of CCL25/CCR9 signaling on transcription factor interactions using chromatin immunoprecipitation analysis could also improve the understanding of the pathway in lung cancer cells. Finally, the OS benefit of CCL25 may be re-evaluated by expanding the number of samples, and to examine the potential reasons for the different OS benefits observed between CCR9 and CCL25 in the future.
Acknowledgements
Not applicable.
Funding
The present study was supported by The Research Projects of Shanghai Health and Planning Commission (grant no. 201740015); Shanghai Municipal Natural Science Foundation (grant no. 18ZR1413000); and Natural Science Foundation of China (grant no. 81560383).
Availability of data and materials
The datasets used and/or analyzed during the present study are available from the corresponding author on reasonable request.
Authors' contributions
YN and DT wrote the manuscript and analyzed the data. YN and LF performed the experiments. YN contributed to the conceptual idea for the manuscript. WG and HL contributed to study design and manuscript editing. All authors read and approved the final manuscript.
Ethics approval and consent to participate
The present study protocol was approved by The Ethics Committee Review Board of The Huadong Hospital Affiliated with Fudan University (approval no. 20180046), and written informed consent was obtained from every participant.
Patient consent for publication
Not applicable.
Competing interests
The authors declare that they have no competing interests.
References
|
Siegel RL, Miller KD and Jemal A: Cancer statistics, 2019. CA Cancer J Clin. 69:7–34. 2019.PubMed/NCBI View Article : Google Scholar | |
|
Fidler IJ: Critical factors in the biology of human cancer metastasis: Twenty-eighth GHA Clowes memorial award lecture. Cancer Res. 50:6130–6138. 1990.PubMed/NCBI | |
|
Fidler IJ: Critical determinants of cancer metastasis: Rationale for therapy. Cancer Chemother Pharmacol. 43 (43 Suppl):S3–S10. 1999.PubMed/NCBI View Article : Google Scholar | |
|
Strieter RM: Chemokines: Not just leukocyte chemoattractants in the promotion of cancer. Nat Immunol. 2:285–286. 2001.PubMed/NCBI View Article : Google Scholar | |
|
Stein JV and Nombela-Arrieta C: Chemokine control of lymphocyte trafficking: A general overview. Immunology. 116:1–12. 2005.PubMed/NCBI View Article : Google Scholar | |
|
Olson TS and Ley K: Chemokines and chemokine receptors in leukocyte trafficking. Am J Physiol Regulatory Integrative Comparative Physiol. 283:R7–R28. 2002.PubMed/NCBI View Article : Google Scholar | |
|
Saintigny P, Massarelli E, Lin S, Ahn YH, Chen Y, Goswami S and Zhang L: CXCR2 expression in tumor cells is a poor prognostic factor and promotes invasion and metastasis in lung adenocarcinoma. Cancer Res. 73:571–582. 2013.PubMed/NCBI View Article : Google Scholar | |
|
Su L, Zhang J, Xu H, Wang Y, Chu Y, Liu R and Xiong S: Differential expression of CXCR4 is associated with the metastatic potential of human non-small cell lung cancer cells. Clin Cancer Res. 11:8273–8280. 2005.PubMed/NCBI View Article : Google Scholar | |
|
Hald SM, Kiselev Y, Al-Saad S, Richardsen E, Johannessen C, Eilertsen M and Bremnes RM: Prognostic impact of CXCL16 and CXCR6 in non-small cell lung cancer: Combined high CXCL16 expression in tumor stroma and cancer cells yields improved survival. BMC Cancer. 15(441)2015.PubMed/NCBI View Article : Google Scholar | |
|
Mukaida N, Sasaki SI and Baba T: Chemokines in cancer development and progression and their potential as targeting molecules for cancer treatment. Mediators Inflamm. 2014(170381)2014.PubMed/NCBI View Article : Google Scholar | |
|
Zhu YM, Webster SJ, Flower D and Woll PJ: Interleukin-8/CXCL8 is a growth factor for human lung cancer cells. Br J Cancer. 91(1970)2004.PubMed/NCBI View Article : Google Scholar | |
|
Phillips RJ, Burdick MD, Lutz M, Belperio JA, Keane MP and Strieter RM: The stromal derived factor-1/CXCL12–CXC chemokine receptor 4 biological axis in non-small cell lung cancer metastases. Am J Respir Crit Care Med. 167:1676–1686. 2003.PubMed/NCBI View Article : Google Scholar | |
|
Gupta P, Sharma PK, Mir H, Singh R, Singh N, Kloecker GH and Singh S: CCR9/CCL25 expression in non-small cell lung cancer correlates with aggressive disease and mediates key steps of metastasis. Oncotarget. 5(10170)2014.PubMed/NCBI View Article : Google Scholar | |
|
Li B, Wang Z, Zhong Y, Lan J, Li X and Lin H: CCR9-CCL25 interaction suppresses apoptosis of lung cancer cells by activating the PI3K/Akt pathway. Med Oncol. 32(66)2015.PubMed/NCBI View Article : Google Scholar | |
|
Zhong Y, Jiang L, Lin H, Li B, Lan J, Liang S, Shen B, Lei Z and Zheng W: Expression of CC chemokine receptor 9 predicts poor prognosis in patients with lung adenocarcinoma. Diagn Pathol. 10(101)2015.PubMed/NCBI View Article : Google Scholar | |
|
Livak KJ and Schmittgen TD: Analysis of relative gene expression data using real-time quantitative PCR and the 2(-Delta Delta C(T)) method. Methods. 25:402–408. 2001.PubMed/NCBI View Article : Google Scholar | |
|
Győrffy B, Surowiak P, Budczies J and Lánczky A: Online survival analysis software to assess the prognostic value of biomarkers using transcriptomic data in non-small-cell lung cancer. PLoS One. 8(e82241)2013.PubMed/NCBI View Article : Google Scholar | |
|
Campbell JD, Alexandrov A, Kim J, Wala J, Berger AH, Pedamallu CS and Imielinski M: Distinct patterns of somatic genome alterations in lung adenocarcinomas and squamous cell carcinomas. Nat Genet. 48(607)2016.PubMed/NCBI View Article : Google Scholar | |
|
Imielinski M, Berger AH, Hammerman PS, Hernandez B, Pugh TJ, Hodis E and Sougnez C: Mapping the hallmarks of lung adenocarcinoma with massively parallel sequencing. Cell. 150:1107–1120. 2012.PubMed/NCBI View Article : Google Scholar | |
|
Ellrott K, Bailey MH, Saksena G, Covington KR, Kandoth C, Stewart C and Sofia HJ: Scalable open science approach for mutation calling of tumor exomes using multiple genomic pipelines. Cell Systems. 6:271–281. 2018.PubMed/NCBI View Article : Google Scholar | |
|
Cancer Genome Atlas Research Network: Comprehensive genomic characterization of squamous cell lung cancers. Nature 489: 519, 2012. | |
|
Skov BG, Høgdall E, Clementsen P, Krasnik M, Larsen KR, Sørensen JB and Mellemgaard A: The prevalence of EGFR mutations in non-small cell lung cancer in an unselected Caucasian population. APMIS. 123:108–115. 2015.PubMed/NCBI View Article : Google Scholar | |
|
Shi Y, Li J, Zhang S, Wang M, Yang S, Li N and Zheng M: Molecular epidemiology of EGFR mutations in Asian patients with advanced non-small-cell lung cancer of adenocarcinoma histology-Mainland China subset analysis of the PIONEER study. PLoS One. 10(e0143515)2015.PubMed/NCBI View Article : Google Scholar | |
|
Hirsch FR and Bunn PA Jr: EGFR testing in lung cancer is ready for prime time. Lancet Oncol. 5:432–433. 2009.PubMed/NCBI View Article : Google Scholar | |
|
Haratake N, Seto T, Takamori S, Toyozawa R, Nosaki K, Miura N, Ohba T, Toyokawa G, Taguchi K, Yamaguchi M, et al: Short progression-free survival of ALK inhibitors sensitive to secondary mutations in ALK-positive NSCLC patients. Thorac Cancer. 10:1779–1787. 2019.PubMed/NCBI View Article : Google Scholar | |
|
Zlotnik A and Yoshie O: Chemokines: A new classification system and their role in immunity. Immunity. 12:121–127. 2000.PubMed/NCBI View Article : Google Scholar | |
|
Nishikawa G, Kawada K, Nakagawa J, Toda K, Ogawa R, Inamoto S and Sakai Y: Bone marrow-derived mesenchymal stem cells promote colorectal cancer progression via CCR5. Cell Death Dis. 10(264)2019.PubMed/NCBI View Article : Google Scholar | |
|
Zhu F, Liu Y, Liu L, Zhou Y, Zhou P, Yan Q and Ding S: CKLF1 enhances Inflammation-mediated carcinogenesis and prevents Doxorubicin-induced apoptosis via IL-6/STAT3 signaling in HCC. Clin Cancer Res. 25:4141–4154. 2019. | |
|
Steele CW, Karim SA, Leach JD, Bailey P, Upstill-Goddard R, Rishi L and Eberlein C: CXCR2 inhibition profoundly suppresses metastases and augments immunotherapy in pancreatic ductal adenocarcinoma. Cancer Cell. 29:832–845. 2016.PubMed/NCBI View Article : Google Scholar | |
|
Oonakahara KI, Matsuyama W, Higashimoto I, Kawabata M, Arimura K and Osame M: Stromal-derived factor-1alpha/CXCL12-CXCR 4 axis is involved in the dissemination of NSCLC cells into pleural space. Am J Respir Cell Mol Biol. 30:671–677. 2004.PubMed/NCBI View Article : Google Scholar | |
|
Yusen W, Xia W, Shengjun Y, Shaohui Z and Hongzhen Z: The expression and significance of tumor associated macrophages and CXCR4 in non-small cell lung cancer. J BUON. 23:398–402. 2018.PubMed/NCBI | |
|
Choi YH, Burdick MD, Strieter BA, Mehrad B and Strieter RM: CXCR4, but not CXCR7, discriminates metastatic behavior in non-small cell lung cancer cells. Mol Cancer Res. 12:38–47. 2014.PubMed/NCBI View Article : Google Scholar | |
|
Siegel G, Malmsten M and Klüssendorf D: Tumor cell locomotion and metastatic spread. Microsc Res Tech. 43:276–282. 1998.PubMed/NCBI View Article : Google Scholar | |
|
Navolotski A, Rumjnzev A, Lü H, Proft D, Bartholmes P and Zänker KS: Migration and gap junctional intercellular communication determine the metastatic phenotype of human tumor cell lines. Cancer Lett. 118:181–187. 1997.PubMed/NCBI View Article : Google Scholar | |
|
Achen MG and Stacker SA: Molecular control of lymphatic metastasis. Ann N Y Acad Sci. 1131:225–234. 2008.PubMed/NCBI View Article : Google Scholar | |
|
Yonemura Y, Endo Y, Tabata K, Kawamura T, Yun HY, Bandou E, Sasaki T and Miura M: Role of VEGF-C and VEGF-D in lymphangiogenesis in gastric cancer. Int J Clin Oncol. 10:318–327. 2005.PubMed/NCBI View Article : Google Scholar | |
|
Marchiò S, Primo L, Pagano M, Palestro G, Albini A, Veikkola T, Cascone I, Alitalo K and Bussolino F: Vascular endothelial growth factor-C stimulates the migration and proliferation of Kaposi's sarcoma cells. J Biol Chem. 274:27617–27622. 1999.PubMed/NCBI View Article : Google Scholar | |
|
Timoshenko AV, Rastogi S and Lala PK: Migration-promoting role of VEGF-C and VEGF-C binding receptors in human breast cancer cells. Br J Cancer. 97:1090–1098. 2007.PubMed/NCBI View Article : Google Scholar | |
|
Zhao L, Zhu Z, Yao C, Huang Y, Zhi E, Chen H, Tian R, Li P, Yuan Q, Xue Y, et al: VEGFC/VEGFR3 signaling regulates mouse Spermatogonial cell proliferation via the activation of AKT/MAPK and cyclin D1 pathway and mediates the apoptosis by affecting caspase 3/9 and Bcl-2. Cell Cycle. 17:225–239. 2018.PubMed/NCBI View Article : Google Scholar | |
|
Schmid MC and Varner JA: Myeloid cell trafficking and tumor angiogenesis. Cancer Lett. 250:1–8. 2007.PubMed/NCBI View Article : Google Scholar | |
|
Mantovani A, Sozzani S, Locati M, Allavena P and Sica A: Macrophage polarization: Tumor-associated macrophages as a paradigm for polarized M2 mononuclear phagocytes. Trends Immunol. 23:549–555. 2002.PubMed/NCBI View Article : Google Scholar | |
|
Movahedi K, Laoui D, Gysemans C, Baeten M, Stangé G, Van den Bossche, Mack M, Pipeleers D, In't Veld P, De Baetselier P and Van Ginderachter JA: Different tumor microenvironments contain functionally distinct subsets of macrophages derived from Ly6C(high) monocytes. Cancer Res. 70:5728–5739. 2010.PubMed/NCBI View Article : Google Scholar | |
|
Volk-Draper LD, Hall KL, Wilber AC and Ran S: Lymphatic endothelial progenitors originate from plastic myeloid cells activated by toll-like receptor-4. PLoS One. 12(e0179257)2017.PubMed/NCBI View Article : Google Scholar | |
|
Alitalo A and Detmar M: Interaction of tumor cells and lymphatic vessels in cancer progression. Oncogene. 31(4499)2012.PubMed/NCBI View Article : Google Scholar | |
|
Achen MG and Stacker SA: Vascular endothelial growth factor-D: Signaling mechanisms, biology, and clinical relevance. Growth Factors. 30:283–296. 2012.PubMed/NCBI View Article : Google Scholar | |
|
Stacker SA, Achen MG, Jussila L, Baldwin ME and Alitalo K: Metastasis: Lymphangiogenesis and cancer metastasis. Nature Rev Cancer. 2(573)2002.PubMed/NCBI View Article : Google Scholar | |
|
Chen Y, Liu Y, Wang Y, Li W, Wang X, Liu X, Chen Y, Ouyang C and Wang J: Quantification of STAT3 and VEGF expression for molecular diagnosis of lymph node metastasis in breast cancer. Medicine (Baltimore). 96(e8488)2017.PubMed/NCBI View Article : Google Scholar | |
|
Guo J, Lou W, Ji Y and Zhang S: Effect of CCR7, CXCR4 and VEGF-C on the lymph node metastasis of human pancreatic ductal adenocarcinoma. Oncol Lett. 5:1572–1578. 2013.PubMed/NCBI View Article : Google Scholar | |
|
Sánchez-Lorencio MI, Saenz L, Ramirez P, Villalba-López F, de la Orden V, Mediero-Valeros B, Revilla Nuin B, Gonzalez MR, Cascales-Campos PA, Ferreras-Martínez D, et al: Matrix metalloproteinase 1 as a novel biomarker for monitoring hepatocellular carcinoma in liver transplant patients. Transplant Proc. 50:623–627. 2018.PubMed/NCBI View Article : Google Scholar | |
|
Gao Y, Nan X, Shi X, Mu X, Liu B, Zhu H, Yao B, Liu X, Yang T, Hu Y and Liu S: SREBP1 promotes the invasion of colorectal cancer accompanied upregulation of MMP7 expression and NF-κB pathway activation. BMC Cancer. 19(685)2019.PubMed/NCBI View Article : Google Scholar | |
|
Yokoi A, Yoshioka Y, Yamamoto Y, Ishikawa M, Ikeda SI, Kato T, Kiyono T, Takeshita F, Kajiyama H, Kikkawa F and Ochiya T: Malignant extracellular vesicles carrying MMP1 mRNA facilitate peritoneal dissemination in ovarian cancer. Nat Commun. 8(14470)2017.PubMed/NCBI View Article : Google Scholar | |
|
Sizemore ST, Sizemore GM, Booth CN, Thompson CL, Silverman P, Bebek G, Abdul-Karim FW, Avril S and Keri RA: Hypomethylation of the MMP7 promoter and increased expression of MMP7 distinguishes the basal-like breast cancer subtype from other triple-negative tumors. Breast Cancer Res Treat. 146:25–40. 2014.PubMed/NCBI View Article : Google Scholar | |
|
Yuan S, Lin LS, Gan RH, Huang L, Wu XT, Zhao Y, Su BH, Zheng D and Lu YG: Elevated matrix metalloproteinase 7 expression promotes the proliferation, motility and metastasis of tongue squamous cell carcinoma. BMC Cancer. 20(33)2020.PubMed/NCBI View Article : Google Scholar |
