Abstract
The membrane glycoprotein podoplanin is expressed by several types of human cancers and might be associated with their malignant progression. Its exact biological function and molecular targets are unclear, however. Here, we assessed the relevance of tumor cell expression of podoplanin in cancer metastasis to lymph nodes, using a human MCF7 breast carcinoma xenograft model. We found that podoplanin expression promoted tumor cell motility in vitro and, unexpectedly, increased tumor lymphangiogenesis and metastasis to regional lymph nodes in vivo, without promoting primary tumor growth. Importantly, high cancer cell expression levels of podoplanin correlated with lymph node metastasis and reduced survival times in a large cohort of 252 oral squamous cell carcinoma patients. Based on comparative transcriptional profiling of tumor xenografts, we identified endothelin-1, villin-1, and tenascin-C as potential mediators of podoplanin-induced tumor lymphangiogenesis and metastasis. These unexpected findings identify a novel mechanism of tumor lymphangiogenesis and metastasis induced by cancer cell expression of podoplanin, suggesting that reagents designed to interfere with podoplanin function might be developed as therapeutics for patients with advanced cancer.
Podoplanin is a small mucin-type transmembrane glycoprotein that, in normal human tissues, is expressed by diverse cell types, including kidney podocytes,1 lung alveolar type I cells,2 and lymphatic endothelium.3 Studies in podoplanin knockout mice demonstrated that podoplanin is essential for the development of the lung and the lymphatic vascular system.4,5 Besides these important physiological functions, podoplanin appears to have a role in cancer pathogenesis. Podoplanin expression was found to be up-regulated in mouse skin during wound healing and chemically induced skin carcinogenesis,6 as well as in several human cancers, including squamous cell carcinomas of different organs,7,8,9 mesotheliomas,10 certain germ cell tumors,7 and tumors of the central nervous system.11 Several studies indicated that the expression of podoplanin in tumors might be related to their malignant progression. High levels of podoplanin expression were detected in highly metastatic clones of mouse colon adenocarcinoma and melanoma cell lines, compared with parental cells.12,13 Also, data from studies of some human cancers suggested a possible association of podoplanin expression with invasion and metastasis of tumors.14,15 The exact molecular function of podoplanin in cancer cells, however, remained unclear.
Podoplanin was shown to be involved in the regulation of cytoskeletal organization and cell motility. Via its short cytoplasmic domain, podoplanin interacts with the membrane cytoskeleton linkers ezrin and moesin, induces formation of filopodia-like plasma membrane extensions, and increases motility in a variety of cell types.4,9,16,17,18 Also, down-regulation of the cell–cell adhesion protein E-cadherin, which is associated with epithelial-mesenchymal transition, was observed in certain cells and tumors in response to podoplanin expression.9,18,19 Together with the localization of podoplanin to the invasive front of tumors, which was observed in human squamous cell carcinomas,7,9,17 these data indicate that podoplanin might promote the detachment of tumor cells and the invasion of adjacent tumor stroma, which are crucial steps toward metastasis. Podoplanin also induces the aggregation of platelets20 and could thereby facilitate the arrest, extravasation and subsequent metastasis of podoplanin-expressing tumor cells circulating in the blood stream.21
The relevance of podoplanin to cancer spread via the lymphatic system, however, has not been clarified. In the present study, we have assessed the effect of podoplanin on lymphatic metastasis in a human breast carcinoma xenograft model. Surprisingly, we found that podoplanin expressed by tumor cells induced tumor lymphangiogenesis and increased metastasis to regional lymph nodes without promoting primary tumor growth. We also show that high cancer cell expression levels of podoplanin correlate with metastasis to lymph nodes and poor prognosis in patients with oral and oropharyngeal squamous cell carcinomas (OSCC). Importantly, by comparative transcriptional profiling of tumor xenografts, we identify novel potential molecular mediators of podoplanin-induced effects.
Materials and Methods
Generation of Podoplanin-Overexpressing MCF7 Cell Clones and Cell Culture
MCF7 human breast carcinoma cells were cultured in Dulbecco’s modified Eagle’s medium (DMEM) containing 10% fetal bovine serum (FBS) and antibiotics (all from Gibco, Grand Island, NY). A clone of MCF7 cells stably expressing the pTet-Off-regulator plasmid (Clontech, Mountain View, CA) was kindly provided by Dr. Sam W. Lee (Massachusetts General Hospital, Boston, MA). Cells were transfected with the pTRE2hyg response plasmid (Clontech) containing or not full-length cDNA of human podoplanin (GenBank Accession number NM_006474; Origene, Rockville, MD). Stably transfected cell clones were selected using 300 μg/ml G418 (Sigma, St. Louis, MO) and 130 μg/ml hygromycin B (Calbiochem, San Diego, CA). Primary dermal human lymphatic and blood vascular endothelial cells were isolated and cultured as described.22
Real-Time Reverse Transcription-PCR
RNA was isolated from subconfluent cell cultures using TRIzol reagent (Invitrogen, Carlsbad, CA) or from tumor tissue using the EZ1 RNA Universal Tissue Kit (Qiagen, Hilden, Germany) and reverse transcribed using the High Capacity cDNA Reverse Transcription Kit (Applied Biosystems, Foster City, CA). Real-time PCR was performed using the TaqMan Universal PCR Master Mix or the Power SYBR Green PCR Master mix (Applied Biosystems), in a 7900HT Fast Real-Time PCR system (Applied Biosystems). β-actin served as internal control for normalization of signals.
TaqMan-based real-time PCR was performed for human podoplanin (forward primer 5′-AGGCGGCGTTGCCAT-3′; reverse primer 5′-GTCTTCGCTGGTTCCTGGAG-3′; probe 5′-FAM-CCAGGTGCCGAAGATGATGTGGTG-BHQ1-3′), human vascular endothelial growth factor (VEGF)-C (forward primer 5′-CACCACCAAACATGCAGCTG-3′; reverse primer 5′-TGAAAATCCTGGCTCACAAGC-3′; probe 5′-FAM-CGGCCATGTACGAACCGCCAG-BHQ1-3′) and human β-actin (forward primer 5′-TCACCGAGCGCGGCT-3′; reverse primer 5′- TAATGTCACGCACGATTTCCC-3′; probe 5′-JOE-CAGCTTCACCACCACGGCCGAG-BHQ1-3′). Sybr Green-based real-time PCR was performed for human endothelin-1 (forward primer 5′-ACTTCTGCCACCTGGACATC-3′; reverse primer 5′-CTCTTGGACCTAGGGCTTCC-3), human villin-1 (Hs_VIL1_1_SG QuantiTect Primer Assay, Qiagen), mouse tenascin-C (Mm_Tnc_1_SG QuantiTect Primer Assay; Qiagen), human endothelin receptor B (Hs00240747_m1; Applied Biosystems), or human endothelin receptor A (Hs00609865_m1; Applied Biosystems). Cycling parameters were as follows: 2 minutes at 50°C, 10 minutes at 95°C, followed by 40 cycles of 15 seconds denaturation at 95°C and 1 minute annealing and extension at 60°C. All reactions were performed in triplicates.
Protein Extraction, Immunoprecipitation, and Immunoblots
Proteins were extracted from cultured cells for 30 minutes on ice using cell lysis buffer containing 20 mmol/L Tris-HCl pH 7.4, 150 mmol/L NaCl, 5 mmol/L EDTA, 1% Triton X-100, 25 mmol/L NaF, 1 mmol/L PMSF, 1 mmol/L NaVO3, 10% glycerol, and a protease inhibitor cocktail. To extract protein from tumors, tissues were homogenized in lysis buffer (Ray Biotech, Norcross, GA) supplemented with protease inhibitor cocktail, followed by incubation for 30 minutes on ice. Endothelin receptor B was immunoprecipitated from endothelial cell lysates (500 μg total protein) using a sheep polyclonal antibody (Abcam, Cambridge, UK). Immunoblotting was performed using antibodies against human villin-1 (0.56 μg/ml; Sigma), human podoplanin (D2-40, 1:1000; Covance, Emeryville, CA), human RhoA (1 μg/ml; BD Transduction Laboratories, Lexington, KY), human endothelin receptor B (Abcam) or β-actin (clone AC-15, 1:5000; Sigma), and corresponding HRP-coupled secondary antibodies (GE, Little Chalfont, UK). All blocking and antibody incubation steps were performed in 5% nonfat dry milk in PBS, except for the detection of RhoA, for which blocking and primary antibody incubation were done in 10% bovine serum albumin (BSA) in PBS. For detection, the ECL Plus Detection System (GE) was used.
RhoA Activity Assay
Protein was extracted from cultured cells at approximately 30% confluency, for 5 minutes on ice. Cell lysis buffer was used, containing 50 mmol/L Tris-HCl pH 7.5, 150 mmol/L NaCl, 2.5 mmol/L MgCl2, 2.5 mmol/L CaCl2, 0.1% sodium dodecyl sulfate, 0.5% sodium deoxycholate, 1% NP-40, 1 mmol/L NaF, 0.1 mmol/L PMSF, 2 mmol/L NaVO3, and a protease inhibitor cocktail. GTP-bound RhoA was precipitated from 1.5 mg of total protein by incubation with 50 μg Rhotekin-RBD-coupled agarose beads (Cytoskeleton, Denver, CO) for 1.5 hours at 4°C.
Migration and Proliferation Assays
Two-chamber migration assays were performed using HTS FluoroBlok Insert System multiwell plates (pore size 8 μm; BD, Franklin Lakes, NJ) as described.23 The underside of the insert membranes was coated with 10 μg/ml fibronectin (BD) or 50 μg/ml type-I collagen (Inamed, Fremont, CA) in PBS, followed by blocking with 100 μg/ml BSA in PBS. Subconfluent cells were harvested with accutase (Sigma) and 2.5 × 104 cells per well in 50 μl DMEM (MCF7, 96-well plate) or 105 cells per well in 100 μl endothelial cell basal medium (Lonza, Walkersville, MD; endothelial cells, 24-well plate) containing 0.2% BSA were seeded into the upper chambers of the FluoroBlok plate. The lower chambers contained DMEM or endothelial cell basal medium with 0.2% BSA and recombinant human endothelin-1 (American Peptide, Sunnyvale, CA) or recombinant human VEGF-A (kindly provided by the National Cancer Institute, Bethesda, MD) where indicated. After 4 to 5 hours at 37°C, cells on the underside of the membrane were stained with 3.85 μg/ml calcein AM (Fluka, Buchs, Switzerland) in PBS and fluorescence was measured at 485 nm (ex) and 538 nm (em) using a SpectraMax Gemini EM plate reader (Molecular Devices, Sunnyvale, CA). Alternatively, migration was assessed by inflicting two right-angled scratches on confluent monolayers of cells, grown in 24-well cell culture plates, using a pipette tip. Images of the intersection of the two scratches were taken at 5× magnification, immediately after scratching and after 48 hours incubation under normal growth conditions, using an Axiovert 200M inverted microscope equipped with an AxioCam MRm camera (Zeiss, Göttingen, Germany). The cell-free area was measured in each image using Adobe Photoshop CS3 software. For proliferation assays, 1000 cells per well were seeded into fibronectin-coated 96-well cell culture plates (Corning, Corning, NY) in normal growth medium. The following day, FBS concentration was reduced to 1% for 24 hours, before addition of recombinant human endothelin-1 and/or recombinant human VEGF-A. After 48 hours, cells were stained with 50 μg/ml 4-methylumbelliferyl heptanoate (Sigma) in PBS and fluorescence intensity, proportional to the number of live cells, was measured at 355 nm (ex) and 450 nm (em). Average background fluorescence of empty wells was substracted from all values. The unpaired Student’s t-test was performed for statistical analysis of the results of all assays.
Tumor Xenografts in Nude Mice
MCF7 human breast carcinoma cells (1.5 × 107), in a 1:1 mixture of serum-free DMEM and Cultrex basement membrane extract (R&D Systems, Minneapolis, MN), were injected bilaterally into the mammary fatpads of 7- to 9-week-old female BALB/cA nude mice (Taconic, Lille Skensved, Denmark). The total injection volume was 0.2 ml. At the same time, 60-day release 17β-estradiol pellets (0.72 mg; Innovative Research of America, Sarasota, CA) were implanted subcutaneously in the interscapular regions of mice. Three cell clones that overexpressed podoplanin (PDPN) and three control cell clones (CTRL) were each injected into five mice. Tumor volumes (V) were calculated as V = 0.4 × L x W2, where L is the largest diameter and W the diameter perpendicular to L. Tumors were grown for 24 days before mice were euthanized and primary tumors and axillary lymph nodes were collected, embedded in O.C.T. compound (Sakura, Zoeterwoude, Netherlands), and frozen. All animal experiments were approved by the Kantonales Veterinäramt Zürich.
Immunohistochemistry, Immunofluorescence, and Analysis of Tumor Vascularization
Cryosections (7 μm) were air-dried and fixed in acetone for 2 minutes at −20°C, followed by 80% methanol for 5 minutes at 4°C. The primary antibodies used were rabbit anti-human podoplanin (2 μg/ml; Cellsciences, Canton, MA), biotinylated mouse anti-human cytokeratin-18 (2 μg/ml; Acris, Hiddenhausen, Germany), rabbit anti-human villin-1 (0.56 μg/ml; Sigma), rat anti-mouse F4/80 (2 μg/ml; Abcam), rabbit anti-mouse LYVE-1 (2 μg/ml; Angiobio, Del Mar, CA), rat anti-mouse CD31 (0.3 μg/ml; BD Pharmingen, San Diego, CA), and a myc-tagged single-chain Fv (scFv) antibody fragment against the D-domain of human tenascin-C24 (scFv[P12], 3 μg/ml; kind gift of Dr. D. Neri, Swiss Federal Institute of Technology [ETH] Zurich, Switzerland) followed by an anti-myc antibody (2 μg/ml; GeneTex, San Antonio, TX). For immunofluorescence analyses, Alexa Fluor 488 or 594-conjugated secondary antibodies were used (1:200; Invitrogen Molecular Probes, Eugene, OR) and nuclei were counterstained with Hoechst dye. For immunohistochemistry, biotinylated secondary antibodies (5 μg/ml; Vector, Burlingame, CA) were detected using the Vectastain ABC and the AEC substrate kit (Vector). Images were taken with an Axioskop 2 microscope equipped with an AxioCam MRc camera (Zeiss). Image overlay and morphometric analysis were performed using Adobe Photoshop CS3 software. For analysis of vascularization on LYVE-1 and CD31 double-stained tumor sections, the number and size of blood vessels were determined in three individual hot spot images taken at 10× magnification for each tumor cross-section. For lymphatic vessels, all vessels that were visible on the tumor cross-section (excluding the skin) were counted and measured. One cross-section was examined for each tumor. For statistical analysis the Mann-Whitney test (lymphatic vessels; no Gaussian distribution of values) or the Student’s t-test (blood vessels; Gaussian distribution of values) was used. For detection of metastatic tumor cells, lymph node cross-sections were taken every 100 μm.
Tissue Microarray Construction and Analysis
A tissue microarray was constructed as described25 to represent 429 samples of histologically confirmed oropharyngeal or oral squamous cell carcinoma (252 primary tumors, 128 lymph node metastases, 29 recurrent tumors and 20 normal mucosa samples) from previously untreated patients who presented at the Ear, Nose, and Throat Department of the University Hospital Zurich between 1993 and 2000.26 Paraffin-embedded tissue samples were obtained from the archives of the Surgical Pathology Department with the approval of the regional board of the Medical Ethics Commission. Immunohistochemistry for podoplanin was performed on 4-μm tissue microarray sections using the D2-40 antibody (1:50; Covance) and a Ventana Benchmark automated staining system (Ventana Medical Systems, Tucson, AZ). The percentage of podoplanin-positive cells (PP) and staining intensity (SI) were evaluated and an immunoreactivity score (IRS) was calculated for each tumor as IRS = PP × SI. Scores were given as follows: PP 0% = 0, 1% to 20% = 1, 21% to 40% = 2, 41% to 60% = 3, 61% to 80% = 4, 81% to 100% = 5; and SI negative = 0, weak = 1, moderate = 2, strong = 3. The median IRS of all tumor samples, equaling 1, was used to categorize them into high- (IRS > 1) or low-level podoplanin expression (IRS 0-1). Overall survival and disease-specific survival curves were calculated using the Kaplan–Meier method, with significance evaluated using two-sided log-rank statistics. The relationship between podoplanin expression and clinical and pathological parameters was evaluated using the χ2 test.
Transcriptional Profiling
Microarray analyses were performed as described,22 using 20 μg of cRNA per array. Quantile normalization of signals was performed using R software version 2.3.1 (The R Foundation for Statistical Computing) and data were further analyzed using Spotfire software (Tibco, Palo Alto, CA). Signals having a signal-to-noise-ratio of less than three and/or a Flag-value of more than 5000 in at least one of the three replicates of a group (the PDPN group in the case of up-regulated genes, the CTRL group in the case of down-regulated genes) were removed and the unpaired Student’s t-test was performed for statistical analysis. Hierarchical clustering of genes with a P value of less than 0.05 was performed using the unweighted pair group method with arithmetic mean (UPGMA) and Euclidean distance as similarity measure. The Panther Classification System27 was used for functional annotation of genes and comparison of lists of genes that were up- and down-regulated to the whole genome microarray reference list. P values were calculated based on binomial test and Bonferroni-corrected. Microarray data are deposited in the GEO database (http://www.ncbi.nlm.nih.gov/geo/; accessed on May 24, 2010) under accession number GSE14552.
Antibody Array
Equal amounts of protein from each individual tumor were pooled for all tumors derived from podoplanin overexpressing cells (PDPN) and for all tumors derived from control cells (CTRL). The resulting two samples were each applied to a Human Growth Factor Antibody Array membrane (Ray Biotech) at a concentration of 200 μg/ml, according to the manufacturer’s instructions. Detection of chemiluminescence was performed using the ECL Plus Detection System (GE), with an exposure time of 20 seconds. Integrated densities (the sum of the gray values of the pixels in the selection) of each spot were determined using Adobe Photoshop CS3 software, and quantile normalization of the values was performed using R software version 2.3.1 (The R Foundation for Statistical Computing).
Matrigel Plug Assay
0.5 ml growth factor-reduced, phenol red-free Matrigel (BD) containing 1 μmol/L human endothelin-1 (Bachem, Bubendorf, Switzerland) dissolved in PBS, or PBS alone, was injected subcutaneously in the inguinal region of female FVB mice (aged 6–7 weeks; Charles River, Sulzfeld, Germany). Four animals were used per group. After 14 days, mice were sacrificed and Matrigel plugs with the overlying skin were excised, embedded in O.C.T. compound (Sakura), and frozen. All animal experiments were approved by the Kantonales Veterinäramt Zürich. Vascularization of the skin overlying Matrigel plugs was analyzed by immunofluorescence as described above. For statistical analysis the Student’s t-test was used.
Results
Podoplanin Overexpression Promotes Migration of MCF7 Breast Carcinoma Cells in Vitro
To assess the functional significance of podoplanin expression by cancer cells, we ectopically expressed it at high levels in human MCF7 breast carcinoma cells, which completely lack endogenous podoplanin mRNA and protein (Figure 1, A and B). MCF7 cells transfected with the empty vector alone served as control. Podoplanin-overexpressing MCF7 cells more rapidly closed a scratch wound inflicted on a cell monolayer, compared with control cells (Figure 1C), although proliferation rates did not significantly differ between the two cell types in vitro (not shown). Furthermore, levels of active RhoA were decreased in podoplanin-overexpressing cells (Figure 1D). These data indicate that ectopic expression of podoplanin increases the motility of MCF7 breast cancer cells in vitro, likely via down-regulation of RhoA activity. The expression of E-cadherin, as determined by FACS analysis, was weak and did not differ between podoplanin-overexpressing and control MCF7 cells (not shown).
Podoplanin Overexpression Reduces Primary Tumor Growth in Vivo
Three MCF7 cell clones stably overexpressing podoplanin (PDPN) and three control cell clones (CTRL) were isolated and xenografted into female nude mice. No differences were observed in overall morphology between the PDPN and CTRL tumors, excised after 24 days of growth. All tumors were interspersed with tumor stroma and contained necrotic areas and extensive immune cell infiltrates (see Supplemental Figure S1 at http://ajp.amjpathol.org). PDPN tumors expressed high levels of podoplanin mRNA and protein, which were undetectable in CTRL tumors (Figure 2, A and B). Unexpectedly, PDPN tumors grew more slowly than CTRL tumors (Figure 2C), and the average tumor weight at the time of excision was significantly lower for PDPN tumors than for CTRL tumors (1.03 ± 0.08 g versus 1.54 ± 0.06 g, P < 0.0001; Figure 2D). Thus, overexpression of podoplanin in MCF7 breast carcinoma xenografts does not promote primary tumor growth.
Podoplanin Overexpression Promotes Tumor Lymphangiogenesis and Metastasis to Lymph Nodes
We next examined the vascularization of tumors by immunofluorescent detection of blood and lymphatic vessels on tumor cross-sections. Whereas blood vessels were evenly distributed throughout the tumors, lymphatic vessels were found in hot spots almost exclusively near the tumor-stroma interface (Figure 3A). Surprisingly, PDPN tumors contained significantly more lymphatic vessels than CTRL tumors (Figure 3, A and B). There were equal numbers of blood vessels in the two groups of tumors but their mean size was smaller in PDPN than in CTRL tumors (Figure 3B). The size of lymphatic vessels did not differ between PDPN and CTRL tumors.
Occasionally and almost exclusively in PDPN tumors, lymphatic vessels containing clusters of tumor cells were detected (Figure 3, A and C), indicating that podoplanin-overexpressing tumor cells invade the lymphatic vasculature more frequently than do control cells. Therefore, we next compared the number of metastases formed in tumor-draining, axillary lymph nodes of mice bearing PDPN or CTRL tumors. In both groups of mice approximately 60% of draining axillary lymph nodes harbored immunohistochemically detectable tumor cells, located almost exclusively within the subcapsular lymphatic sinuses—the site where afferent lymph enters the lymph nodes (Figure 3D). Metastases were generally small, with cell numbers ranging from less than 20 to approximately 200 cells per lymph node cross-section. Quantification of tumor cells and classification of metastases into small (up to 20 cells per cross-section), medium (20–50 cells per cross-section) or large (more than 50 cells per cross-section) revealed that PDPN tumors gave rise to significantly more large metastases compared with CTRL tumors (21.4% versus 8.7%, P = 0.03, binomial probability; Figure 3E). The total metastatic load of lymph nodes containing metastases classified as medium or large was estimated by counting the total number of cells observed in all of the available cross-sections of each lymph node (cut every 100 μm). Lymph nodes of mice bearing PDPN tumors contained significantly more tumor cells than lymph nodes of mice with CTRL tumors (P = 0.03, Mann-Whitney test; Figure 3F). Taken together, these data demonstrate that cells which overexpress podoplanin have colonized the lymph nodes more readily than control cells.
Podoplanin Expression Correlates with Decreased Survival Times in Patients with OSCC
To assess the relevance of podoplanin expression by cancer cells to metastasis to lymph nodes in patients, a tissue microarray was constructed, comprising 252 samples of OSCC and 128 samples of lymph node metastases from the same patient population. Immunohistochemical analysis indicated that podoplanin expression on tumor cells was predominantly membranous and strongest at the invasive borders of primary tumors and the edges of lymph node metastases (Figure 4A). Podoplanin expression was graded using an immunoreactivity score (IRS), and tumors were categorized into podoplanin-high (IRS > 1) or podoplanin-low (IRS 0-1), according to the median IRS value of the 252 OSCCs analyzed (IRS = 1). 54% (135/252) of the primary tumors and 30.5% (39/128) of the lymph node metastases were classified as podoplanin-high.
Importantly, high levels of podoplanin expression correlated with a high pathological T-stage (invasion of the nearby tissue) of human OSCC (P = 0.042; Table 1), and high podoplanin expression was associated with a positive lymph node status of patients (P = 0.056; Table 1). Finally, univariate survival analysis revealed a strong correlation between a high level of podoplanin expression and decreased overall (P = 0.024; Figure 4B) and disease-specific survival times (P = 0.02; Figure 4C), which in OSCC strongly depend on the lymph node status of the patient. These data reveal that podoplanin expression leads to poorer clinical outcome in patients with OSCC, by promoting lymph node metastasis.
Table 1.
Parameters | Podoplanin low; n (%) | Podoplanin high; n (%) | P value |
---|---|---|---|
Age at diagnosis | |||
≤55 years | 54 (21) | 76 (30) | 0.108 |
>55 years | 63 (25) | 59 (24) | |
Histological grade | |||
Well | 13 (5) | 5 (2) | 0.067 |
Moderate | 69 (27) | 90 (36) | |
Poor | 35 (14) | 40 (16) | |
pT-stage | |||
pT1 | 34 (13) | 31 (12) | 0.042 |
pT2 | 55 (22) | 58 (23) | |
pT3 | 22 (9) | 24 (10) | |
pT4 | 6 (2) | 22 (9) | |
pN-stage | |||
pN0 | 50 (20) | 42 (17) | 0.056 |
pN1-3 | 67 (26) | 93 (37) |
Podoplanin Up-Regulates the Expression of Endothelin-1 in Vivo
To elucidate the molecular mechanisms by which podoplanin promotes lymphangiogenesis and tumor cell dissemination, we compared the transcriptional profiles of PDPN and CTRL MCF7 breast carcinoma xenografts. RNA samples of all tumors (n = 8–10) derived from the same cell clone were pooled for microarray analysis and each sample was applied to both human and mouse microarrays. In both types of microarrays, samples of the same group (ie, PDPN or CTRL) clustered together (see Supplemental Figure S2 at http://ajp.amjpathol.org), indicating that consistent differences existed between, but not within the two groups.
Among the genes that were up-regulated by twofold or more in PDPN tumors with a P value of less than 0.05 (0.64% in the human arrays, 2.67% in the mouse arrays) we searched for potential mediators of the increased lymphangiogenesis observed in these tumors. Although VEGF-C, a potent lymphangiogenic factor, was among the up-regulated genes in the human microarray (see Supplemental Table S1 at http://ajp.amjpathol.org), a consistent increase of VEGF-C mRNA levels in PDPN tumors could not be confirmed by real-time RT-PCR (see Supplemental Figure S3A at http://ajp.amjpathol.org). Furthermore, using an antibody array, we did not detect differences in the protein levels of other known lymphangiogenic growth factors (see Supplemental Figure S3B at http://ajp.amjpathol.org). The extent of immune cell infiltration, a possible source of growth factors, was comparable in all tumors (Supplemental Figure S1 at http://ajp.amjpathol.org) and the mouse microarray revealed that none of the known lymphangiogenic factors was differentially expressed in the murine stroma of PDPN versus CTRL tumors (see Supplemental Table S2 at http://ajp.amjpathol.org).
Using real-time RT-PCR we found, however, that the expression of human endothelin-1 (ET-1) mRNA was up to fivefold higher in PDPN than in CTRL tumors, in agreement with the corresponding microarray result (Figure 5A and Supplemental Table S1 at http://ajp.amjpathol.org). Accordingly, several genes involved in endothelin signaling were up-regulated in the murine stroma of PDPN tumors (Adcy5, Akt3, Ptgs2, Pla2g4a; Supplemental Table T2 at http://ajp.amjpathol.org), while tumor cells up-regulated matrix metalloproteinase 2, which is induced by ET-1.28,29 Given that ET-1 is a potent vasoconstrictor peptide,30 the up-regulation of numerous mouse genes associated with muscle contraction (Supplemental Table S2 at http://ajp.amjpathol.org), along with the reduced size of blood vessels (Figure 3B), might result from endothelin’s action on vascular smooth muscle cells in the stroma of PDPN tumors.
Endothelin-1 Induces Lymphangiogenesis in Vivo
Because ET-1 induces an angiogenic phenotype in blood vascular endothelial cells (BECs) and modulates tumor angiogenesis in breast and other human cancers,28,31 we investigated whether it might also act as an inducer of lymphangiogenesis. Indeed, recombinant human ET-1 promoted the migration of primary human lymphatic endothelial cells (LECs) in a dose-dependent manner (Figure 5B). Also, a moderate, dose-dependent induction of LEC proliferation was observed after exposure to ET-1 (10 nmol/L versus 0.1 nmol/L ET-1, P = 0.05; Figure 5C). Interestingly, although 0.1 nmol/L ET-1 alone did not affect LEC proliferation, when administered in combination with VEGF-A (20 ng/ml) it induced a greater degree of LEC proliferation than VEGF-A alone (P = 0.08), indicating that these two factors act synergistically. Furthermore, we found endothelin receptor B mRNA and protein to be more abundantly expressed by LECs than by BECs (Figure 5, D and E), whereas expression of endothelin receptor A could be detected exclusively in BECs (see Supplemental Figure S4 at http://ajp.amjpathol.org).
Importantly, by means of a Matrigel plug assay, we could show that ET-1 also promotes lymphangiogenesis in vivo. Two weeks after placement of the Matrigel plug, the number of lymphatic vessels in the skin overlying the plug was significantly increased if the plug contained ET-1 rather than PBS as vehicle control (P = 0.005; Figure 6, A and C). The number of blood vessels, on the other hand, was not altered by ET-1 in this assay (Figure 6, B and C). Interestingly, these effects of ET-1—promotion of lymph- but not (hem)angiogenesis—are identical to the effects of podoplanin overexpression in MCF7 tumor xenografts.
Taken together, these results suggest that podoplanin-induced tumor lymphangiogenesis might be mediated by up-regulation of ET-1, which acts on the lymphatic endothelium through endothelin receptor B.
Podoplanin Promotes the in Vivo Expression of Cytoskeletal and Extracellular Matrix Molecules, Including Tenascin-C and Villin-1
Both comparisons of the sets of human and mouse genes that were up-regulated in PDPN tumors to the respective whole genome microarray reference lists revealed a significant overrepresentation of genes that encode cytoskeletal and extracellular matrix proteins (Table 2). Among the latter, tenascin-C is of particular interest with regard to malignancy, as it is highly expressed in many cancerous tissues and has multiple effects on cell behavior (reviewed in 32). Tenascin-C was the most significantly up-regulated gene in the mouse microarrays (P = 1.83 × 10−5; Supplemental Table S2 at http://ajp.amjpathol.org). Real-time RT-PCR and immunohistochemical analyses revealed tenascin-C mRNA and protein to be more abundant in the stroma of PDPN tumors compared with CTRL tumors (Figure 7, A and B). Although increased tenascin-C mRNA levels in PDPN tumors were also detected using the human microarrays (Supplemental Table S1 at http://ajp.amjpathol.org), neither RT-PCR (using primers specific for the human transcript) nor immunohistochemistry (with an antibody specific for the human protein) revealed any significant expression of tenascin-C by the tumor cells themselves (not shown).
Table 2.
Molecular function | Expected no. of genes in set | Actual no. of genes in set | Fold-enrichment | P value* |
---|---|---|---|---|
Human genes | ||||
Extracellular matrix | 1.60 | 12 | 7.5 | 2.6 × 10−6 |
Actin binding cytoskeletal protein | 1.70 | 11 | 6.5 | 2.0 × 10−4 |
Cytoskeletal protein | 3.88 | 13 | 3.4 | 0.0042 |
Mouse genes | ||||
Actin binding cytoskeletal protein | 4.29 | 16 | 3.7 | 0.0015 |
Extracellular matrix | 4.43 | 14 | 3.2 | 0.0055 |
Calculated using the Bonferroni correction for multiple testing.
An interesting cytoskeletal protein that was up-regulated in PDPN tumors was villin-1, an exceptionally versatile epithelial cell-specific actin-binding protein (reviewed in 33). We confirmed the induction of human villin-1 expression in PDPN tumors at the mRNA and protein level (Figure 7, C and D). Immunohistochemical analysis unexpectedly revealed that villin-1 expression was not uniform throughout the tumor but restricted to single tumor cells or small clusters of tumor cells predominantly located near highly vascularized stromal compartments, where tumor cells might invade host tissue and vessels (Figure 7E). Collectively, these results reveal that expression of podoplanin on the surface of tumor cells induces changes of the tumor cell cytoskeleton as well as the surrounding extracellular matrix, which could increase the motility of tumor cells and thus promote their dissemination.
Discussion
Metastasis of many human cancers, including breast cancer and head and neck squamous cell carcinoma, occurs primarily through the lymphatic system, and the extent of lymph node involvement often determines the patients’ prognosis. In this study, we found that expression of the membrane glycoprotein podoplanin on cancer cells increased lymph node metastasis in a human breast carcinoma xenograft model as well as in a large cohort of patients with OSCC. Importantly, we also found that high levels of podoplanin expression in tumors reduced overall and disease-specific survival times of patients with OSCC, which is in line with the presence of lymph node metastasis—beside distant metastasis—being the single most adverse independent prognostic factor in patients with squamous cell carcinomas of the head and neck region.34 These clinical findings are supported by several recent studies, which—although in much smaller patient cohorts—similarly report an association between podoplanin expression, lymph node metastasis, and/or poor clinical outcome in various types of OSCC.35,36,37,38
Our data reveal that podoplanin promotes metastasis to lymph nodes by affecting several steps of cancer progression—importantly without promoting primary tumor growth. Podoplanin expression renders cancer cells more motile, thereby facilitating the local invasion of host tissue, as reflected by the advanced pathological T-stage of human OSCC with high levels of podoplanin expression. Unexpectedly, microarray analyses indicated that molecules within tumor cells themselves as well as in the tumor stroma mediate these effects of podoplanin. Among other potentially interesting mediators, we found villin-1 and tenascin-C to be significantly up-regulated in PDPN tumors. Interestingly, villin-1 shares considerable structural and functional features with ezrin (also referred to as villin-2), which interacts with podoplanin.18 Both ezrin and villin-1 are actin- and phospholipid-binding cytoskeletal proteins that are located in the microvillar compartment of epithelial cells and essential for microvillus assembly (reviewed in 32, 39). Similar to what has been reported for podoplanin, overexpression of villin-1 results in the loss of stress fibers, the formation of microvilli-like structures, and increased motility of diverse cell types.40,41,42 Thus, it is conceivable that villin-1 complements, or under certain circumstances even replaces, ezrin in mediating podoplanin-induced cytoskeletal reorganization and cell motility.
Unlike villin-1, tenascin-C was expressed in the stroma of PDPN tumors. The effects of tenascin-C in tumor tissues are diverse and appear to be highly context- and cell type-specific. There is, however, convincing evidence from studies of different types of cancer that tenascin-C supports epithelial-mesenchymal transition as well as tumor cell migration and invasion—events that lead to metastasis (reviewed in 32). Indeed, high levels of tenascin-C expression, especially at the invasive tumor front, correlate with metastasis to lymph nodes and poor prognosis in patients with different types of cancer,43,44,45,46 similar to what we observed for podoplanin in OSCC.
Our findings show that podoplanin expression induces complex changes of the tumor microenvironment which collectively promote tumor cell motility, invasion, and metastasis. The most surprising finding of this study, however, was that ectopic expression of podoplanin promoted lymphangiogenesis in breast carcinoma xenografts, which together with the increased invasion of tumor stroma and vessels localized there, would potentiate the prometastatic effects of podoplanin. We previously reported that overexpression of VEGF-C increases lymphatic metastasis by inducing tumor lymphangiogenesis without promoting primary tumor growth.47 Rather than any known lymphangiogenic growth factor, however, we found increased expression of ET-1 in podoplanin-overexpressing tumor xenografts. In agreement with a recent report,48 we identified ET-1 as a novel promotor of lymphangiogenesis in vitro and in vivo which most likely acts through ENDRB, the receptor subtype predominantly expressed on endothelial cells.49 The increased expression level of ENDRB in LECs compared with BECs indicates that the lymphatic endothelium might be more sensitive to ET-1 than blood vascular endothelium and might explain the fact that only lymphangiogenesis but not angiogenesis was induced in PDPN tumor xenografts, as well as in skin overlying ET-1–containing Matrigel plugs. Beside its role in lymphangiogenesis, ET-1 could also contribute to cancer cell motility and invasiveness through induction of tumor proteinases.29,50,51 We observed up-regulation of matrix metalloproteinase 2 in PDPN tumor xenografts, which might be induced in an autocrine manner via ENDRA expressed on tumor cells. Remarkably, increased serum levels of ET-1 have been observed in breast cancer patients with lymph node metastases compared with patients without lymph node involvement,51 supporting its role in lymphatic metastasis.
The exact mechanism by which podoplanin induces changes in gene expression remains to be elucidated. They might be mediated through RhoA, which is known to be involved in signaling pathways leading to transcriptional control,52,53,54 and the activity of which we and others found to be modulated by podoplanin.17,18 In addition, signals from the tumor stroma appear to contribute to the gene expression changes in PDPN tumors, as they were not observed in podoplanin-overexpressing cells in vitro (not shown). Such additional stimuli may include paracrine growth factors, cytokines, components of the extracellular matrix, hypoxia, reactive oxygen species, metabolites, or mechanical force, to name just a few. Gene expression changes resulting from the interaction of different cell types are well known, eg, from would-healing processes, or from simple co-culture experiments, in which—interestingly—the expression of both endothelin-1 and tenascin-C was reported to be altered.55 Thus, the gene expression changes observed in podoplanin-overexpressing tumors very likely depend on the presence of podoplanin in conjunction with additional stimuli from the tumor stroma.
Altogether, our findings identify a novel mechanism of lymphatic cancer metastasis that is mediated by cancer cell-expressed podoplanin, which promotes tumor cell motility and tumor lymphangiogenesis, but not primary tumor growth. Interference with podoplanin function could therefore represent a novel therapeutic strategy to combat advanced cancer.
Acknowledgments
We thank Dr. Sam W. Lee for the MCF7 tet-off cells, Dr. Dario Neri for the anti-tenascin-C antibody, and Dr. Nadja Bänziger-Tobler, Dr. Viviane Mumprecht, Benjamin Vigl, Dr. Daniela Marino, Silvana Zgraggen, Jana Zielinski, and Martina Storz for help with animal procedures, histology, and tissue microarray construction.
Footnotes
Address reprint requests to Michael Detmar, M.D., Institute of Pharmaceutical Sciences, Swiss Federal Institute of Technology, ETH Zurich, Wolfgang Pauli-Strasse 10, CH-8093 Zurich, Switzerland. E-mail: michael.detmar@pharma.ethz.ch.
Supported by the National Institutes of Health (CA69184), the Swiss National Fund (3100A0-108207), the Austrian Science Foundation (S9408-B11), Cancer League Zurich, Oncosuisse, Commission of the European Communities (LSHC-CT-2005-518178), all to M.D.; Krebsliga Zurich, and Sassella-Stiftung (I.H.).
Supplemental material for this article can be found on http://ajp.amjpathol.org.
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