Literature DB >> 25798833

The miR-200 family and the miR-183~96~182 cluster target Foxf2 to inhibit invasion and metastasis in lung cancers.

S T Kundu1, L A Byers1, D H Peng1, J D Roybal1, L Diao2, J Wang2, P Tong2, C J Creighton2,3, D L Gibbons1,4.   

Abstract

Metastatic lung cancer is one of the most lethal forms of cancer and molecular pathways driving metastasis are still not clearly elucidated. Metastatic cancer cells undergo an epithelial-mesenchymal transition (EMT) where they lose their epithelial properties and acquire a migratory and invasive phenotype. Here we identify that the expression of microRNAs from the miR-200 family and the miR-183~96~182 cluster are significantly co-repressed in non-small cell lung cancer cell lines and primary tumors from multiple TCGA dataset with high EMT scores. Ectopic expression of the miR-183~96~182 cluster inhibited cancer cell migration and invasion, whereas its expression was tightly modulated by miR-200. We identified Foxf2 as a common, novel and direct target of both these microRNA families. Foxf2 expression tightly correlates with the transcription factor Zeb1 and is elevated in mesenchymal-like metastatic lung cancer cells. Foxf2 expression induced robust EMT, migration, invasion and metastasis in lung cancer cells, whereas Foxf2 inhibition significantly repressed these phenotypes. We also demonstrated that Foxf2 transcriptionally represses E-cadherin and miR-200, independent of Zeb1, to form a double-negative feedback loop. We, therefore, identified a novel mechanism whereby the miR-200 family and the miR-183~96~182 cluster inhibit lung cancer invasion and metastasis by targeting Foxf2.

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Year:  2015        PMID: 25798833      PMCID: PMC4580489          DOI: 10.1038/onc.2015.71

Source DB:  PubMed          Journal:  Oncogene        ISSN: 0950-9232            Impact factor:   9.867


Introduction

Lung cancer is the leading cause of cancer related deaths in the world, primarily because of aggressive metastatic progression[60]. The high mortality for this disease derives partly from limited therapeutic interventions and necessitates an understanding of the molecular pathways driving metastasis. One of the mechanisms contributing to metastasis in epithelial tumors is epithelial-mesenchymal transition (EMT). During this process a subset of cells from the primary tumor acquires invasive and migratory properties with loss of epithelial cell polarity and intercellular adhesion[29, 76]. A series of transcription factors/repressors regulate EMT by inhibiting epithelial genes like E-Cadherin and miR-200 and inducing mesenchymal markers like vimentin. The Zeb, Snail and Twist families of transcriptional repressors are the most well documented EMT regulators in different cancers[69, 71, 72]. To elucidate the molecular mechanisms underlying EMT and metastasis our laboratory has developed a syngeneic tumor model using cell lines isolated from a genetically-engineered murine model with mutant KRas and p53 [77]. Syngeneic tumors in this model vary in their metastatic potential. MicroRNA expression profiling revealed that the microRNA-200 family (miR-200) is repressed in the highly metastatic tumors and exogenous expression of miR-200 in the metastatic cells resulted in their inability to undergo EMT and metastasize [2, 23, 73]. MicroRNAs are 22 nucleotide non-coding RNAs that inhibit target genes by degrading the message or inhibiting translation[4, 5, 16, 19, 59]. Work from our lab and others has demonstrated that in many tumor types the microRNA-200 family (miR-200) modulates EMT by regulating the Zeb family of transcriptional repressors through a double-negative feedback loop[9, 11, 23, 24]. Recently the miR-183~96~182 cluster was shown to be repressed by Zeb, in p21 deficient colon cancer cells undergoing EMT and were significantly more invasive and migratory[41]. miR-183 has been shown to inhibit cancer cell migration and metastasis in breast[44] and bone[75] cancer cells whereas it induced proliferative and migratory properties in soft tissue sarcomas[57] and medulloblastoma[68]. However a role for the miR-183~96~182 cluster in lung cancer is not defined. Forkhead-box (Fox) is a super family of transcriptional regulators that have myriad functions from development and proliferation to oncogenesis. Fox proteins have a conserved winged-helix DNA binding domain and less conserved non-Fox domains, which mediate interactions with other transcriptional regulators for specific functions[33, 38]. The Foxf sub-family consists of two members, of which Foxf1 has been documented to induce EMT and invasion in breast cancers[47]. Foxf2 is required for gut development and promote extra-cellular matrix production[49] but little has been demonstrated on its role in cancer progression or metastasis. Here we provide evidence that the expression of miR-183~96~182 cluster is strongly correlated to miR-200 and EMT in NSCLC and multiple other epithelial tumor types. Both these microRNA families convergently target Foxf2, which can potently regulate EMT, invasion and metastasis in lung cancers by transcriptional repression of E-Cadherin and miR-200.

Results

Expression of miR-183~96~182 cluster is correlated with miR-200 and inhibits cell invasion

We generated microRNA expression profiles for 55 human NSCLC cell lines and applied a 76 gene EMT signature that we recently described to stratify them into epithelial-like and mesenchymal-like groups based on their gene expression pattern[12, 14]. In addition to the miR-200 family members, the miR-183~96~182 cluster was significantly repressed in the mesenchymal-like cells lines (Fig. 1A). Like miR-200, the members of the miR-183~96~182 cluster also demonstrated significant negative correlation with the EMT scores[12] of samples from multiple TCGA datasets (Fig. 1B and Supplementary. Fig. 1A–B) representing a range of epithelial tumors, thus indicating that both miR-200 and miR-183~96~182 cluster are strongly associated with an epithelial state in different tumor types. Additionally the miR-183~96~182 cluster displayed significant positive correlation with miR-200 for all the tumor datasets (Supplementary Fig. 1C). The expression of the miR-183~96~182 cluster was validated by quantitative RT-PCR in both a panel of human NSCLC cell lines with varying miR-200 levels (Fig. 1C and Supplementary Fig. 1D) and a panel of murine KP lung cancer lines where the miR-183~96~182 cluster expression was significantly lower in the metastatic mesenchymal cell lines (344SQ, 344LN, 531LN1, 531LN2) with low miR-200 expression (as described previously[2, 23]) than the epithelial non-metastatic cell lines (393LN, 412P, 307P and 393P) with low Zeb1 and high miR-2002 (Fig. 1D). Exogenous Zeb1 expression in epithelial human HCC827 (Supplementary Fig. 1E–H) or murine 393P cell lines resulted in a significant repression of both the miR-200 family[2, 23] (Supplementary Fig. 1H) and the miR-183~96~182 cluster (Fig. 1E–F). Conversely, inducible expression of miR-200a and/or -b in mesenchymal human H157 cells[14] significantly induced miR-183~96~182 cluster expression (Fig. 1G). To test the functional role of miR-183~96~182 cluster on migration and invasion of NSCLC cells, human or mouse miR-96, 182 and 183 were transfected into mesenchymal human H157 (Fig. 1H) or murine 344SQ cells (Fig. 1J) respectively, which significantly suppressed both migration and invasion (Fig. 1I–K). These results suggest that like miR-200 the expression of the miR-183~96~182 cluster is strongly associated with the epithelial state of cancer cells and directly regulates cancer cell migration and invasion.
Fig. 1

Expression of miR-183~96~182 cluster is correlated with miR-200 and inhibits cell invasion

(A) Heatmap for microRNA expression profiles of 55 human NSCLC lines, stratified into epithelial and mesenchymal categories based on their EMT score[12]. (B) Correlation plot for miR-96 expression and EMT scores of human tumors from different TCGA datasets as indicated. (C) Quantitative RT-PCR (qPCR) analysis for relative expression of human miR-183~96~182 cluster in different human NSCLC lines. (D) qPCR analysis for relative expression of mouse miR-183~96~182 cluster in a panel of epithelial-like or mesenchymal-like mouse NSCLC lines. (E) qPCR analysis for relative expression of human miR-183~96~182 cluster in HCC827 cells with stable constitutive expression of either pCDNA vector or Zeb1. (F) qPCR analysis for relative expression of mouse miR-183~96~182 cluster in 393P cells with stable constitutive expression of pCDNA vector or Zeb1. (G) qPCR analysis for relative expression of human miR-183~96~182 cluster in H157 cells with stable inducible expression of either pTRIPZ vector alone, miR-200a, miR-200b or miR-200ab. (H) qPCR analysis for relative expression of human miR-183~96~182 cluster in H157 cells transfected with control miRNA precursor or precursors for human miR-96, miR-182 and miR-183. (I) Trans-well migration or invasion of H157 cells transfected with control miRNA precursor or precursors for human miR-96, miR-182 and miR-183. (J) qPCR analysis for relative expression of mouse miR-183~96~182 cluster in 344SQ cells transfected with control miRNA precursor or precursors for mouse miR-96, miR-182 and miR-183. (K) Trans-well migration or invasion of 344SQ cells transfected with control miRNA precursor or precursors for mouse miR-96, miR-182 and miR-183. (Significance is indicated by * = p≤0.05)

Foxf2 is a novel and direct target of miR-96/182 and miR-200b/c with strong correlation to Zeb1 expression

To investigate the mechanisms by which the mir-200 and the miR-183~96~182 cluster regulate EMT and subsequent cellular migration, invasion and metastasis in NSCLC, we searched for common predicted targets of these microRNA families. First we performed a cross comparison of multiple gene expression datasets from our mouse models of metastasis[23]. We overlapped 224 genes that were elevated greater than four-fold upon Zeb1 induction in 393P cells, with 210 genes that showed greater than two-fold increase in expression in the metastatic 344SQ cells compared to the non-metastatic 393P cells[23] and 143 genes that were repressed to less than 0.5-fold in cells upon exogenous miR-200 expression[23] (Fig. 2A). This produced an enriched list of 45 genes that are potential miR-200 targets (Supplementary Table 1). Next we performed an overlap of genes predicted as targets of the miR-200 family (6032 genes) and the miR-183~96~182 cluster (2841 genes), using the microRNA prediction algorithm miRanda (www.microRNA.org) and identified a list of 17 highly conserved common targets (Supplementary Table 2) with a mirSVR[7] score less than −6.0 (Fig. 2A). The only 2 genes common in both the overlapping subsets were Zeb1 (ZFHX1A) and Foxf2. We also performed a gene set enrichment analysis on the mRNA profiles from our murine metastatic 344SQ and non-metastatic 393P tumors[23] and Foxf2 was again identified in the list of most differentially expressed genes in the metastatic mesenchymal 344SQ tumors (Supplementary Fig. 2A).
Fig. 2

Foxf2 is a novel and direct target of miR-183~96~182 cluster and miR-200 and correlates with Zeb1 expression

(A) (Left) Heatmaps for gene expression profiles of: mouse 393P cells with stable Zeb1 expression compared to pCDNA vector control cells (genes represented are differentially expressed (p<0.01, fold change>2) with Zeb1), mouse metastatic 344SQ cells compared to non-metastatic 393P cells[23], or mouse metastatic 344SQ cells with stable expression of miR-200b~200a~429 cluster compared to control vector cells[23]. (Right) Venn diagram with the number of genes overlapping for the different datasets as indicated. (B) qPCR analysis for relative expression of mouse Adcy6, Jazf1 or Foxf2 in 344SQ cells transfected with control miRNA precursor or precursors for miR-96, miR-182 and miR-183 (Suppl. Table 7). (C) qPCR analysis for relative expression of human ADCY6, JAZF1 or FOXF2 in H157 cells transfected with control miRNA precursor or precursors for human miR-96, miR-182 and miR-183 (Suppl. Table 7). (D) qPCR analysis for relative expression of mouse Foxf2 in 393 cells with stable expression of miR-200, Zeb1 or miR-200 and Zeb1. (E) qPCR analysis for relative expression of human Foxf2 and Zeb1 in H157 cells with inducible expression of pTRIPZ vector alone, miR-200a, miR-200b or miR-200ab. (F) (Top) Schematic representing reporter constructs of either wild-type mouse Foxf2-3′UTR or mouse Foxf2-3′UTR with a mutated miR-200b/c binding site. (Bottom) Relative luciferase activity from reporter constructs as indicated, with co-expression of either mouse control miRNA precursor or precursors of miR-200a, 200b or 200c in 344SQ cells. (G) (Top) Schematic representing reporter constructs of either wild-type mouse Foxf2-3′UTR or mouse Foxf2-3′UTR with mutation in the miR-96 and miR-182 binding sites. (Bottom) Relative luciferase activity from reporter constructs as indicated, with co-expression of either mouse control miRNA precursor or precursors of miR-96, and miR-182 in 344SQ cells. (H) qPCR analysis for relative expression of mouse Foxf2 and Zeb1 in a panel of epithelial or mesenchymal mouse NSCLC lines. (I) qPCR analysis for relative expression of human Foxf2 and Zeb1 in a panel of epithelial-like or mesenchymal-like human NSCLC lines. (J) Western blot analysis for expression of Zeb1, E-Cadherin, FOXF2 or β-Actin (as a loading control) in a panel of epithelial-like or mesenchymal-like human NSCLC lines. (Significance is indicated by * = p≤0.05)

Foxf2 contains seed sequences for miR-200b/c/429, miR-96, miR-182 and miR-183 in its 3′UTR. Expression of miR-96, miR-182 and miR-183 resulted in significant repression of Foxf2 in both murine (Fig. 2B) and human (Fig. 2C) cells, along with specific down-regulation of ADCY6 and JAZF1, which are two highly predicted targets of the miR-183~96~182 cluster, containing multiple target sequences in their 3′UTR’s[6, 7]. Stable expression of the miR-200b~200a~429 cluster in 393P murine lung cancer cells significantly inhibited Foxf2 expression, while it was robustly induced when miR-200 was repressed by stable expression of Zeb1[2] (Fig. 2D). Similarly a significant repression in FOXF2 expression was observed in human H157 cells (Fig. 2E) upon inducible expression of miR-200a and/or -b. In contrast, inhibition of endogenous miR-200a, 200b, 96 and 183 in murine 344SQ cells by anti-miRNA transfection significantly elevated the expression of both Zeb1 and Foxf2 (Supplementary Fig. 2B). To ascertain whether Foxf2 is directly targeted by these microRNAs, we performed luciferase reporter assays with wild-type or miRNA binding site mutant versions of the Foxf2-3′UTR. miR-200b/c significantly repressed luciferase activity of the Foxf2 WT 3′UTR construct, but not the version with a mutated miR-200b/c site (Fig. 2F). Similarly, miR-96 significantly repressed luciferase activity from the WT 3′UTR, which was lost upon mutation of the recognition sites (Fig. 2G). These results indicate that Foxf2 is a novel bonafide target of miR-200b&c and miR-96. To further test whether Foxf2 expression is triggered by EMT we treated murine or human lung cancer cells with TGFβ and observed a robust induction of Foxf2 (Supplementary Fig. 2C), which was comparable to the increase in Zeb1[8, 10, 11, 61, 69]. We also observed a strong correlation of Foxf2 with Zeb1 expression in our panel of KP mouse (Pearson Correlation: R2 = 0.744, p<0.005) (Fig. 2H) and human (Pearson Correlation: R2 = 0.67, p<0.1) (Fig. 2I–J) lung cancer cell lines.

Foxf2 induces EMT, invasion and metastasis

To examine the biological role of Foxf2 in lung cancer, GFP-tagged Foxf2 was exogenously expressed under a doxycycline-inducible promoter in the non-metastatic murine epithelial 393P cells. Foxf2 expression in 393P cells induced a dramatic cellular phenotypic change from a cobble-stone, clustered, epithelial state to a fibroblastic, spindle-shaped, scattered mesenchymal morphology, which reverted upon doxycycline withdrawal (Fig. 3A). Control GFP-expressing cells showed no morphologic change (Supplementary Fig. 3A). This morphologic shift upon 10 days of Foxf2 expression was concordant with a significant induction of Zeb1 and dramatic E-Cadherin repression both at the mRNA (Fig. 3B) and protein (Fig. 3C) levels, but with no significant change in the mesenchymal markers like N-Cadherin or vimentin. 393P-Foxf2(+) cells also exhibited robust increases in cellular migration and invasion in Boyden chambers compared to the control 393P-GFP(+) cells (Fig. 3D and Supplementary Fig. 3B). To determine whether the phenotype produced by Foxf2 is cell line independent, GFP-tagged Foxf2 was inducibly expressed in epithelial murine (531P1) or human (HCC827) lung cancer cells. Foxf2 expression in both 531P1 and HCC827 cells induced an EMT-like morphologic change (data not shown and Supplementary Fig. 3H), with Zeb1 induction and E-Cadherin suppression (Supplementary Fig. 3C–D, 3J). 531P1-Foxf2 cells exhibited pronounced increases in migration and invasion compared to the GFP control cells (Supplementary Fig. 3E–F). The HCC827-FOXF2 cells only demonstrated a modest increase of migration in Boyden chambers (Supplementary Fig. 3I) but when grown in 3D matrigel/collagen I cultures, were more invasive compared to the GFP control cells (Supplementary Fig. 3K). These results demonstrate that Foxf2 induces EMT, cellular migration and invasion in cells that are normally epithelial and non-invasive.
Fig. 3

Foxf2 induces EMT, invasion and metastasis

(A) Bright field or GFP fluorescence microscopy images showing morphology of 393P cells, either un-induced (−), induced (+) for GFP-tagged Foxf2 (Foxf2) expression for 10 days or first induced for 10 days and then un-induced for 8 days. (B) qPCR analysis for relative expression of Foxf2 and other EMT markers in 393P cells which are un-induced (−) or induced(+) (10 days) for expression of TRIPZ-GFP control vector (GFP(+)) or GFP-Foxf2 (Foxf2(+)). (C) Western blot analysis for expression of Foxf2 or EMT markers in 393P cells which are un-induced (−) or induced (+) (10 days) for expression of either TRIPZ-GFP control vector (GFP) or GFP-Foxf2 (Foxf2). (D) Trans-well migration or invasion of 393P cells which are un-induced (−) or induced (+) (10 days) for expression of TRIPZ-GFP control vector (GFP) or GFP-Foxf2 (Foxf2). (E) Bright field or GFP fluorescence microscopy images showing morphology of 344SQ cells induced for 7 days for expression of either the TRIPZ-GFP control vector or GFP-Foxf2. (F) Western blot analysis for expression of Foxf2 and other EMT markers in 344SQ cells which are induced for 7 days for expression of either TRIPZ-GFP control vector (GFP(+)) or GFP-Foxf2 (Foxf2(+)) as indicated. (G) Trans-well migration or invasion of 344SQ cells induced for 7 days for expression of TRIPZ-GFP control vector (GFP(+)) or GFP-Foxf2 (Foxf2(+)) as indicated (H) (Left) Bright-field microscopy of 3D spheroids in different matrices as indicated, formed by 344SQ cells induced for 6 days for expression of TRIPZ-GFP control vector (344SQ-GFP(+)) or GFP-Foxf2 (344SQ-Foxf2(+)). (Right) Quantification of invasive structures formed by the respective cell lines in different matrices. (I) (Left) Quantification of tumor volumes of syngeneic mice injected with 344SQ cells induced for expression of TRIPZ-GFP control vector (GFP(+)) or GFP-Foxf2 (Foxf2(+)). (Right) Quantification of metastatic lung surface nodules formed in the mice injected with 344SQ cells induced for expression of either TRIPZ-GFP control vector (GFP(+)) or GFP-Foxf2 (Foxf2(+)). (J) Representative images of H&E sections of lungs from mice injected with 344SQ cells induced for expression of TRIPZ-GFP control vector (344SQ-GFP(+)) or GFP-Foxf2 (344SQ-Foxf2(+)) (Scale bar = 100μM). (Significance is indicated by * = p < 0.05).

To understand the potential role of Foxf2 during invasion and metastasis we wanted to determine whether Foxf2 could modulate these biologic functions in cells that are mesenchymal and have metastatic ability at baseline. For this Foxf2 was inducibly expressed in the murine 344SQ cell line. As in the 393P and 531P1 cells, induction resulted in robust Foxf2 expression, nuclear localization of the protein and an EMT-like change in the cellular morphology when compared to the GFP-expressing cells (Fig. 3E and Supplementary Fig. 4A). Molecularly the 344SQ-Foxf2 cells exhibited a drastic suppression of E-Cadherin, but mesenchymal markers were unchanged (Fig. 3F). This observation was confirmed by IF staining which revealed a complete loss of E-Cadherin from the cell membrane in the Foxf2 expressing cells compared to GFP (control) cells and resulted in re-localization of β-Catenin from the cell surface into the cytoplasm (Supplementary Fig. 4B). The 344SQ-Foxf2 cells also exhibited a significant increase in cellular migration and invasion in Boyden chambers (Fig. 3G and Supplementary Fig. 3G), but no difference in proliferation (Supplementary Fig. 4C). Growth in 3D cultures revealed normal spheroid formation of the control 344SQ-GFP cells and remarkable invasive growth by the 344SQ-Foxf2 cells (Fig. 3H). To determine their in vivo metastatic potencies, 344SQ-Foxf2 or control 344SQ-GFP induced cells were subcutaneously implanted into syngeneic mice. The primary tumor sizes for both the control and the Foxf2 expressing cells were comparable, consistent with no significant difference in cellular proliferation between the tumor types as evident from Ki67 staining (Supplementary Fig. 4D). However, the mice with 344SQ-Foxf2 tumors demonstrated a ~3-fold increase in the number of metastatic lung nodules compared to the control cells (Fig. 3I) within just 4 weeks. This was confirmed by haematoxylin and eosin staining of lung sections from the groups (Fig. 3J). These results establish Foxf2 as a potent suppressor of the epithelial phenotype, which arrests cells in a hyper-invasive state, producing rapid in vivo metastasis.

Foxf2 knockdown suppresses invasion and metastasis

To study the converse effect, we stably knocked down Foxf2 expression in mesenchymal mouse and human cells by shRNA vectors. Foxf2 knockdown in mouse mesenchymal and metastatic 344SQ cells (344SQ-Foxf2-shE) did not result in an apparent change in cell morphology (data not shown), cell proliferation (Supplementary Fig. 4C) or expression of the EMT markers (Fig. 4A–B), but significantly suppressed cellular migration and invasion in Boyden chambers (Fig. 4C and Supplementary Fig. 3L). Similarly in human H157 cells, knockdown of FOXF2 (H157-FOXF2-sh5) did not alter the expression of EMT genes (Fig. 4D–E) but produced significant inhibition of migration and invasion compared to vector controls (Fig. 4F and Supplementary Fig. 3M). To test whether down-regulation of Foxf2 expression could alter the in vivo metastatic potencies, the 344SQ-Foxf2-shE (knockdown) and the 344SQ-pGIPZ-NS (control) cells were injected subcutaneously in syngeneic mice. Both groups formed comparable sized tumors at 8 weeks, with only a slight increase in proliferating cells in the primary tumors formed by the knockdown cells compared to the controls when assayed by Ki-67 staining (Fig. 4G and Supplementary Fig. 4D). In contrast, the Foxf2 knockdown cells exhibited significant repression of lung metastasis (Fig. 4G), which was confirmed by haematoxylin and eosin stained lung sections (Fig. 4H). These results confirm that inhibition of Foxf2 expression could significantly reduce the migratory and invasive capabilities of metastatic cells, abrogating in vivo metastasis. Interestingly by manipulating the levels of Foxf2 in the same (344SQ) cell line we could control the metastatic phenotype of the cells, highlighting the importance of Foxf2 as a metastasis regulator.
Fig. 4

Foxf2 knockdown leads to decreased invasion and metastasis

(A) qPCR analysis for relative expression of mouse Foxf2 and other EMT markers in 344SQ cells with stable expression of control non-silencing hairpin (344SQ-GipZ-NS) or hairpin targeting Foxf2 (344SQ-Foxf2-shE). (B) Western blot analysis for expression of EMT markers in 344SQ cells with stable expression of either control non silencing hairpin (344SQ-GipZ-NS) or hairpin targeting Foxf2 (344SQ-Foxf2-shE). (C) Trans-well migration or invasion of 344SQ cells with stable expression of either control non silencing hairpin (344SQ-GipZ-NS) or hairpin targeting Foxf2 (344SQ-Foxf2-shE). (D) qPCR analysis for relative expression of human FOXF2 and other EMT markers in H157 cells with stable expression of either control scrambled hairpin (H157-Sramble) or hairpin targeting FOXF2 (H157-FOXF2-sh5). (E) Western blot analysis for human FOXF2 and other EMT markers in H157 cells with stable expression of control scrambled hairpin (H157-Sramble) or hairpin targeting FOXF2 (H157-FOXF2-sh5). (F) Trans-well migration or invasion of H157 cells with stable expression of control scrambled hairpin (H157-Sramble) or hairpin targeting FOXF2 (H157-FOXF2-sh5). (G) (Left) Quantification of tumor volumes or (Right) metastatic lung surface nodules formed in syngeneic mice injected with 344SQ cells with stable expression of control non-silencing hairpin (GipZ-NS) or hairpin targeting Foxf2 (Foxf2-shE). (H) Representative images of H&E sections of lungs from mice in (G) (Scale bar = 50μM). (Significance is indicated by * = p < 0.05).

Foxf2 induces rapid repression of E-cadherin and miR-200 independent of Zeb1

Foxf2 expression induces a strong EMT-like phenotype with increased migration, invasion and metastasis, which is associated with a robust inhibition of E-Cadherin and up-regulation of Zeb1. To understand whether these two changes are a direct and acute consequence of Foxf2 expression, we performed a time course assay to determine the changes in expression of these two markers upon induction of Foxf2 in 393P cells. Upon Foxf2 induction, E-Cadherin was transcriptionally repressed as early as 4 hours (50% at RNA level) and reached its maximum by 48 hours (more than 95% by mRNA and protein level (60%)), whereas Zeb1 protein levels were not considerably elevated (14%) until 48 hours (Fig. 5A–B). Induction of GFP (control vector) did not induce any marker changes (Supplementary Fig. 5A–B). Since the miR-200 family is important regulator of the epithelial phenotype in lung cancer[23], we examined whether they are regulated by Foxf2. We observed that mature miR-200a and miR-200b, but not miR-200c, were significantly repressed (70%) within 48 hours of Foxf2 induction (Fig. 5C), whereas no significant changes were observed in the GFP vector cells (Supplementary Fig. 5C). This was confirmed by similar repression of the miR-429 levels (70%) within 72 hours of Foxf2 induction, whereas miR-141 levels were unaltered (Supplementary Fig. 5D). These results suggest that Foxf2 might transcriptionally target only the miR-200b~200a~429 locus and not the miR-141~200c locus.
Fig. 5

Foxf2 induces rapid repression of E-cadherin and miR-200 independent of Zeb1

(A) qPCR analysis for relative expression and (B) Western blot analysis of mouse Foxf2, Zeb1 and E-Cad in 393P cells induced for Foxf2 expression for the indicated times. Relative band intensity for Zeb1 or E-Cad, normalized to respective actin band intensities are shown for each lane. (C) qPCR analysis for relative expression of mature mouse miR-200a–c in 393P cells induced for Foxf2 expression for the indicated times. (D) qPCR analysis for relative expression and (E) Western blot analysis of mouse E-Cad in 393P cells that were induced for Foxf2 expression for different times as indicated, after transfection of either control siRNA (si-Control) or siRNA targeting Zeb1 (si-Zeb1). Relative band intensity for E-Cad, normalized to respective actin band intensities is shown for each lane. (F) qPCR analysis for relative expression of mature mouse miR-200a-c in 393P cells that were induced for Foxf2 expression for different times as indicated, after transfection of control siRNA (si-Control) (Left) or siRNA targeting Zeb1 (si-Zeb1) (Right). (G) Normalized luciferase activities from reporter constructs of either empty vector (pGL3), full length E-Cad promoter (Cdh1-Pr-FL) or 321 base pair upstream fragment of miR-200b promoter (miR200-Pr-321)[9], transfected in 393P cells that were induced for expression of either TRIPZ-GFP control vector (Vec(+)) or GFP-Foxf2 (Foxf2(+)) as indicated. (H) (Top) Relative normalized luciferase activities from reporter constructs; pGL3, Cdh1-Pr-FL and miR200-Pr-321[9], transfected in 393P vector control or Foxf2 cells which were pre-transfected with control siRNA (si-Control) or siRNA targeting Zeb1 (si-Zeb1). (Bottom) Western blot analysis demonstrating efficient knockdown of Zeb1 and Foxf2 induction in 393P vector control or Foxf2 cells that were transfected with control siRNA (si-Control) or siRNA targeting Zeb1 (si-Zeb1), which were used in the experiment. (I) Fold-enrichment of promoter segments as indicated, of E-Cadherin and miR-200b~200a~429 promoters after ChIP assays performed in 393P-GFP (Vector) or 393P-GFP-Foxf2 cells, using either an anti-GFP antibody or a mock IgG control antibody. (J) Model representing Foxf2 as a target of miR-200 and miR-183~96~182 cluster, which transcriptionally represses miR-200 and E-Cadherin to induce cancer cell invasion and metastasis.

As the miR-200b~200a~429 cluster and E-cadherin are both known Zeb1 targets [9, 17, 22], we sought to determine whether Foxf2-mediated repression of these two loci is dependent on Zeb1. Control siRNA or siRNA targeting Zeb1 were transfected into control 393P-GFP or 393P-Foxf2 cells and both mRNA and protein were isolated at time points after Foxf2 or GFP induction. Both in the presence and absence of Zeb1, E-Cadherin was significantly repressed upon 48 hours of Foxf2 induction, at the mRNA (>50%) (Fig. 5D) and protein (40%) (Fig. 5E) levels. No change was observed in the 393-GFP vector cells (Supplementary Fig. 5E). To confirm these findings, we generated stable 393P cells with inducible Foxf2 and either scramble (control) hairpin (393P-Foxf2-sh-scramble) or shRNA hairpin targeting Zeb1 (393P-Foxf2-shZeb1), which showed greater than 90% Zeb1 knockdown. Upon Foxf2 induction for 48 hours, E-Cadherin expression was significantly repressed both at RNA (50%) and protein (70%) levels in cells with endogenous Zeb1 expression. Similarly, in cells with stable knockdown of Zeb1, E-Cadherin was significantly repressed both at RNA (50%) and protein (65%) levels after 48 hours of Foxf2 induction (Supplementary Fig. 5G–H). Induction of GFP did not change the levels of E-Cadherin irrespective of Zeb1 status in the control cells (Supplementary Fig. 5F). Similarly, quantitative PCR analysis for mature forms of mir-200a, -b or -c from 393P-Foxf2 (inducible) cells transfected with si-Control or si-Zeb1 revealed that they were significantly repressed upon Foxf2 induction, independent of Zeb1 status (Fig. 5F). To determine whether E-Cadherin and miR-200 repression are a result of direct inhibition of their promoter activities by Foxf2, we performed luciferase reporter assays using promoter constructs for E-Cadherin and the miR-200b~200a~429 cluster[9]. We observed a significant repression of activity from both the promoters upon Foxf2 induction (Fig. 5G), which was independent of Zeb1, as demonstrated by use of siRNA targeting Zeb1 versus control siRNA in 393P-GFP (control) or 393P-Foxf2 inducible cells (Fig. 5H). To further assess direct binding of Foxf2 to the endogenous promoters of E-Cadherin and miR-200b~200a~429, we performed ChIP assays with the 393P-GFP (control) or 393P-Foxf2 inducible cells. We observed specific binding and enrichment for Foxf2 at different segments of the E-Cadherin promoter (as indicated) and an unique segment ~2500 bp upstream from the start site of the miR-200b precursor (Fig. 5I). All these enriched segments contain putative Foxf2 binding sites. Taken together these results demonstrate that Foxf2 transcriptionally represses E-Cadherin and miR-200b~200a~429 microRNA cluster, independent of Zeb1, to repress the epithelial phenotype and induce EMT, invasion and metastasis. Based on our work here and the data in the literature, we propose a model in which the Zeb1-miR-200 axis works in concert with the miR-193~96~182 cluster to convergently target Foxf2 and regulate EMT, invasion and metastasis in lung cancer. In a Zeb1-independent manner, Foxf2 represses E-Cadherin and inhibits miR-200 to form a reinforcing negative feedback loop running in parallel with Zeb1 and miR-200, to regulate invasion and metastasis (Fig. 5J).

Discussion

The molecular underpinnings driving lung cancer metastasis are largely unknown. There is a large body of evidence both in primary human tumors [27, 64, 65] and various mouse models of cancers[15, 23, 30, 48, 53], which indicates EMT as a necessary and driving mechanism for metastasis of epithelial tumors. microRNAs are global regulators of gene expression and dysregulation of microRNAs and their signaling networks have been implicated in tumorigenesis and cancer metastasis[13, 21, 32, 52]. We and others have shown that deregulation of miR-200 by Zeb1 is critical to drive EMT and metastasis[11, 23, 24, 37, 51]. Metastasis is a complex biological process with compound stages of progression,[52, 64] therefore we hypothesized that multiple upstream molecular controllers are deregulated to coordinately control complementary cell functions necessary for initiation and progression of metastasis. We wanted to investigate other microRNAs like miR-200 that act as upstream regulators of EMT and metastasis. By miRNA expression profiling we identified that in addition to miR-200, the miR-183~96~182 cluster shows very strong negative correlation with EMT in a panel of 55 human NSCLC lines and intensive correlative studies in 7 other primary tumor types from TCGA clinical specimens strongly reinforced this observation. This inclusive pan-cancer approach established with high confidence the functional association of the miR-183~96~182 cluster with EMT and metastasis. MicroRNAs interact with different signaling molecules to produce varied and contrasting outcomes depending on the cell type and the microenvironment[1, 18]. Similarly, while anti-metastatic function of miR-183~96~182 was observed in certain cancers[40, 41, 44, 75, 78], members of this cluster have demonstrated a pro-migratory and invasive role in other tumors[25, 26, 31, 39, 58, 63]. This suggests that miR-183~96~182 function is regulated contextually in a tissue-dependent manner. To specifically elucidate the molecular targets of miR-200 and miR-183~96~182, we performed a multi-step cross comparison of gene expression profiles of the differently manipulated mouse model cells which overlapped with the list of high confidence common predicted targets of both the miRNA families. This approach gave us the unique advantage to utilize the extensive genomic data from our syngeneic mouse models to discover functionally relevant targets of miR-200 and the miR-183~96~182 cluster with a potential direct role in lung cancer metastasis. Foxf2 is a member of the forkhead box super family of transcriptional regulators which are known to function as oncogenes and tumor suppressors in divergent cancer types[26, 33, 36, 38, 67]. Other members of the Fox family, namely FOXM1 and FOXC1, have been reported as inducers of EMT, invasion and metastasis[56, 70]. Foxf1, the other member of the Foxf family has been reported to induce EMT, invasion and metastasis in breast and colorectal cancers[43, 47]. Foxf2 has been shown to be necessary for gut development and production of the extra cellular matrix[46, 66]. Two recent reports also demonstrated the association of Foxf2 in a tumor suppressive role in breast[36] and prostate[26] cancers. Here we established that Foxf2 functions as a robust regulator of EMT, migration, invasion and metastasis in a syngeneic mouse lung cancer model with mutant Kras and p53. It has been reported that constitutive over expression of Foxf2 from a transgenic allele in a mouse model for colorectal carcinogenesis resulted in decreased adenoma formation compared to wild type or Foxf2+/− mice[46]. This suggests that specific genetic lesions in cancer regulate the activity of Foxf2 as a metastasis driver in a tissue-dependent context. Multiple groups have convincingly defined the role of miR-200 as a master regulator of EMT and metastasis in different cancer types[20, 23, 42, 50], with the double-negative feedback loop between Zeb1/2 and miR-200 as the best documented mechanism of miR-200 regulation[11, 23, 24, 37, 51]. The importance of this master regulator strongly suggests that there should be multiple layers of control over miR-200 expression. Additional transcription factors and chromatin modifiers have been shown to regulate miR-200 transcription in cancers[34, 35, 45, 54, 55]. Our data elucidate a novel mechanism where Foxf2 transcriptionally represses E-Cadherin and miR-200, independent of Zeb1 to repress epithelial phenotype. We also identified a novel double-negative feedback loop between Foxf2 and miR-200, thus revealing a parallel axis to the Zeb1-miR-200 loop that controls EMT and metastasis. E-Cadherin and miR-200 loss are nodal events in the onset and progression of EMT and metastasis and independent control in modulating these genes implies a pivotal role for Foxf2 as a parallel regulator of EMT and metastasis. In our miRNA expression profiles on the NSCLC lines we also identified miR-205 and miR-203 which exhibited robust correlation with miR-200 and EMT and further investigation of the functional targets of these miRNAs might reveal new interesting leads in to the regulation of metastasis in lung cancers.

Materials and methods

Plasmids and reagents

Mouse or human Foxf2 cDNA was amplified by RT-PCR as a MfeI/EcoRI – MluI fragment (primers P1-P4, Suppl. Table 4) and cloned in the dox inducible pTRIPZ-GFP vector where the miR-30~RFP cassette was replaced with the GFP cDNA. Mouse Foxf2 shRNA (pGIPZ-Foxf2-shE) construct was purchased from Open-Biosystems/GE-Dharmacon (Cat#RMM4431-200375685/CloneID#V3LMM_518867). Human FOXF2 shRNA (pLKO-FOXF2-sh5) construct was cloned in pLKO vector (Addgene, Cambridge, MA) by ligating annealed oligos (P13, P14, Suppl. Table 4). Reporter construct for Foxf2-3′UTR was generated by RT-PCR amplification of 0.7 KB 3′ UTR region of Foxf2 mRNA, using specific primers (P5, P6, Suppl. Table 4) and cloned in pGL3-Promoter vector (Promega, Madison, WI). miR-200 and miR-96/182 binding site mutants of the Foxf2-3′UTR reporter construct were generated using specific primers (P7-P10, Suppl. Table 4) and Quick change Lightning site directed mutagenesis kit (Agilent, Santa Clara, CA). Reporter construct for E-Cadherin promoter was generated by PCR amplification of 1.6KB promoter region of mouse E-Cadherin using specific primers (P11, P12, Suppl. Table 4) and cloned in pGL3-Basic vector. shRNA construct for Zeb1 (RMM3981-201796052/CloneID#TRCN0000070818) and Scramble control vectors were purchased from Thermo-Scientific. siRNA for Zeb1 (SMARTpool:ON-TARGETplus) was purchased from Dharmacon/GE-Healthcare (Lafayette, CO).

Cell culture and transfections

All cell lines were maintained in RPMI-1640 supplemented with 10% fetal bovine serum. DNA transfections were performed with Lipofectamine-2000 or Lipofectamine-LTX reagents (Life technologies, Grand Island, NY). miRNA precursors and inhibitors (Suppl. Table 7) were transfected at 50nM or 100nM final concentration for 96 hours using Lipofectamin-2000 or Lipofectamine RNAi Max (Invitrogen-Life technologies) and siRNAs were transfected at 25nM final concentration using DharmaFECT-I (Dharmacon/GE-Healthcare) reagents as per manufacturer’s protocols.

Reporter assays

For 3′UTR reporter assays cells were co-transfected with 500 ng of the reporter construct and 50nM miRNA precursors for 24 hours and then assayed for luciferase activity after 24 hours of Doxycycline induction. For promoter-reporter assays cells were first pre-transfected for 72 hours with siRNA followed by transfection for 24 hours with 500ng of the reporter constructs, then assayed for luciferase activity after 24 hours of doxycycline induction. All reporter assays were performed using the Dual-Luciferase reporter assay system (Promega, Madison, WI).

qPCR and Western blot analysis

Total RNA was isolated and RT-PCR was performed using specific primers (Suppl. Table 4) and SYBR® Green PCR Master Mix (Life technologies). SYBR green qPCR analyses were normalized to expression of L32 (60S ribosomal gene). Taq-man assays (Life technologies; Suppl.Table 5) for miRNA qPCR analyses were normalized to miR-16. Western blots were performed with antibodies as listed (Suppl. Table 5).

Analysis of miRNA expression and EMT using TCGA pan-cancer data

Level 3 TCGA pan-cancer data was used including gene expression (RNAseq) and microRNA expression (RNAseq)[3, 28]. A summary of the samples with matched gene expression and miRNA data was provided in Supplementary Table 6. EMT score was calculated from gene expression data using the EMT signature previously published[12]. Pearson correlation (r value) was used to quantify the association between miRNA and EMT score.

Analysis of miRNA expression with EMT using human NSCLC cell lines

Affymetrix microRNA 4.0 samples were processed by Affymetrix Expression Console. Same cell line expression levels were averaged for each probe-set. EMT score was calculated from expression data profiled on Illumina WG v3 (GSE32036). There were 55 cell lines with both miRNA expression and EMT score. Two sample t-tests were used to test the difference between Epithelial-like and Mesenchymal-like groups (E is defined as EMT score less than 0 and M otherwise). miRNAs selected at FDR level of 0.05 were used for heatmap.

Analysis of mRNA expression array from Zeb1-transfected cells

Samples were shipped to Asuragen (Austin, TX) for processing and analysis on Affymetrix Mouse Expression Array 430A 2.0 chips as previously described[23]. Array data have been deposited into the Gene Expression Omnibus (GSE61395).

Migration and Invasion Assays

Trans-well migration (8 μM inserts; BD-Biosciences) and invasion (BD-Biosciences; #354480) assays were performed for 6 hours (human cells) and 16 hours (mouse cells) using standard protocol[23]. Inserts were stained with crystal violet and migrated or invaded cells were analyzed and counted using Image-J software.

ChIP assays

ChIP was performed as described earlier[2, 73] with the modification that cells were fixed first with 5mM DTBP (Pierce-Thermo scientific) and then with 1% formaldehyde. Immuno precipitation was performed using anti-GFP antibody (Abcam ab290) or mock IgG (Santacruz). Promoter segment enrichment was analyzed by qPCR using primers P49-56 (Suppl. Table 4).

3D culture assay

Cells were seeded in a matrix comprising of matrigel (BD-Biosciences; #354230) or a mixture of matrigel and collagen (BD-Biosciences; #354236) and incubated for 6 days with regular replenishment with complete media containing 2% matrigel until formation of spheroids[23]. Spheroids were imaged and analyzed using an inverted microscope.

In vivo tumor and metastasis experiments

All animal experiments were reviewed and approved by the Institutional Animal Care and Use Committee at The University of Texas M.D. Anderson Cancer Center. Cells were sub cutaneously injected in the flanks of syngeneic 129/Sv mice of 8–10 weeks age and observed for tumor growth for a period of 4–8 weeks. Upon euthanasia, metastatic nodules on the surface of lung lobes were counted. Lung tissue was fixed in 10% Formalin and then processed for sectioning followed by haematoxylin and eosin staining.

Supplementary Fig. 1

(A) Correlation plots for miR-182 and miR-183 expression and EMT scores of human tumors from different TCGA datasets as indicated. (B) Correlation plots for miR-200 expression and EMT scores of human tumors from different TCGA datasets as indicated. (C) Correlation plot for expression of miR-96, miR-182 and miR-183 and miR-200b in human tumors from different TCGA datasets as indicated. (D) qPCR analysis for relative expression of human miR-200b & 200c in panel of human NSCLC lines. (E) Bright field microscopy of HCC827 cells with either pCDNA vector or constitutive expression of Zeb1. (F) Western blot analysis for expression of Zeb1 and other EMT markers in isolated clones of HCC827 constitutively expressing either pCDNA vector of Zeb1. (G) qPCR analysis for relative expression of Zeb1 and other EMT markers in isolated clones of HCC827 constitutively expressing either pCDNA vector of Zeb1. (H) qPCR analysis for relative expression of miR-200a, 200b and 200c in isolated clones of HCC827 constitutively expressing either pCDNA vector of Zeb1.

Supplementary Table 1

List of 45 genes that are potential miR-200 targets having a role in the process of EMT and metastasis, generated by overlapping different mouse gene expression datasets as indicated.

Supplementary Table 2

List of 17 highly conserved common predicted mouse target genes of mmu-miR-200 and mmu-miR-183~96~182 cluster, using the microRNA prediction algorithms miRanda (www.microRNA.org), with a mirSVR[7] score less than -6.0.

Supplementary Table 3

List of 48 highly conserved common predicted human target genes of hsa-miR-200 and hsa-miR-183~96~182 cluster, using the microRNA prediction algorithms miRanda (www.microRNA.org), with a mirSVR[7] score less than −6.0.

Supplementary Table 4

List of primers used for generation of reagents and experiments.

Supplementary Table 5

List of miRNA Taq-Man assays and Antibodies.

Supplementary Table 6

Summary of samples in TCGA pan-cancer data sets with matched gene expression and miRNA data

Supplementary Fig. 2

(A) Gene set enrichment analysis was performed as described previously[62]). Gene expression profiles from four syngeneic tumors each, generated from either metastatic 344SQ cells (represented as red squares) or non-metastatic 393P cells (represented as blue squares) were used to perform Gene Set Enrichment Analysis to identify a list of most enriched genes in metastatic cells. The intensity of red or blue colors represent a heat map for magnitude of expression (Red=high ; blue=low). The top genes show Foxf2 as one of the most enriched genes in the metastatic cells compared to the non-metastatic ones. (B) qPCR analysis for relative expression of human Foxf2 and Zeb1 in HCC827 cells that were transfected with either Anti-miRNAs targeting miR-200a, 200b, 96 and 183 or a control Anti-miRNA. (C) (Left) qPCR analysis for relative expression of Zeb1, Foxf2 and other potential miR-200 targets in 344SQ cells treated with TGFβ for 10 days. (Right) qPCR analysis for relative expression of Zeb1 and FOXF2 in human HCC827 cells treated with TGFβ for 10 days.

Supplementary Fig. 3

(A) Bright field or GFP fluorescence microscopy images showing morphology of 393P cells which are either un-induced (−), induced (+) for GFP (control) expression for 10 days or first induced for 10 days and then un-induced for 8 days. (B) Representative images of trans-well chambers for migration and invasion of 393P cells which are un-induced (−) or induced (+) (10 days) for expression of either TRIPZ-GFP control vector (GFP) or GFP-Foxf2 (Foxf2) as indicated. (C) qPCR analysis for relative expression of Foxf2 and other EMT markers in mouse 531P1 cells which are induced(+) (10 days) for expression of either TRIPZ-GFP control vector (GFP(+)) or GFP-Foxf2 (Foxf2(+)). (D) Western Blot analysis for expression of GFP-Foxf2 or EMT markers in mouse 531P1 cells which are induced (+) (10 days) for expression of either TRIPZ-GFP control vector (GFP) or GFP-Foxf2 (Foxf2) as indicated. (E–F) Trans-well migration and invasion of 531P1 cells which are induced (+) (10 days) for expression of either TRIPZ-GFP control vector (GFP), or GFP-Foxf2 (Foxf2), as indicated. (G) Representative images of trans-well chambers for migration and invasion of 344SQ cells which are induced (+) (10 days) for expression of either TRIPZ-GFP control vector (GFP) or GFP-Foxf2 (Foxf2) as indicated. (H) Bright field or GFP fluorescence microscopy images showing morphology of human HCC827 cells which are induced for expression of GFP-vector (control) or GFP-Foxf2 for 10 days. (I) Trans-well migration of human HCC827 cells which are induced (+) (10 days) for expression of either TRIPZ-GFP control vector, or GFP-Foxf2, as indicated. (J) Western Blot analysis for expression of GFP-Foxf2 or EMT markers in human HCC827 cells which are induced (+) (10 days) for expression of either TRIPZ-GFP control vector (GFP) or GFP-Foxf2 (Foxf2) as indicated. (K) Bright-field microscopy and quantitation of 3D spheroids in a matrix of Matrigel:Collagen (1:1), formed by HCC827 cells induced for 10 days for expression of either TRIPZ-GFP control vector (GFP(+)) or GFP-FOX2 (FOXF(+)). (L–M) Representative images of trans-well chambers for migration and invasion of mouse 344SQ or human H157 cells with stable expression of either control non silencing/Scramble hairpins or hairpins targeting mouse or human Foxf2 as indicated.

Supplementary Fig. 4

(A) qPCR analysis for relative expression of mouse Zeb1, Foxf2, E-Cadherin and Vimentin in 344SQ, 344SQ-GFP+ (Vector) and 344SQ-Foxf2+ cells. Gene expressions are normalized to levels in the parental 344SQ cells. (B) Immunofluorescence staining of 344SQ-GFP+ (vector) or 344SQ-Foxf2+ cells was performed for the expression of E-Cadherin or β-Catenin. Secondary antibody used was Alexa-546 labelled (Life technologies). Cells were counter stained with DAPI for nuclear staining. Scale bars are as indicated. Staining was performed as previously described[2, 23]. (C) Proliferation of indicated cell lines as measured by WST1 reagent (Roche; as per manufacturer’s protocol) when cultured in 2D. (D) (Left) Representative images of IHC stained slides for either Ki67 or no-primary controls for the indicated cells. (Right) Plots representing the quantification of IHC positive cells. 3 independent fields from 2 different tumor sections were acquired and then IHC positive cells were analyzed and counted by image J software. Staining was performed as previously described[74]. (E) qPCR analysis for relative expression of mouse EMT transcription factors in 393P-Foxf2 cells that were induced for 24 hours for Foxf2 expression. (F) Relative normalized luciferase activity from Zeb1 and Snai1 promoters in 393P-GFP (Vector) or 393P-Foxf2 cells which were induced for GFP or Foxf2 expression respectively. (Asterisks indicate significance p≤0.05)

Supplementary Fig. 5

(A) qPCR analysis for relative expression of mouse Foxf2, Zeb1 and E-Cad in 393P cells that were induced for GFP (vector control) expression for different times as indicated. (B) Western Blot analysis for expression of Zeb1, E-Cad and Foxf2 in 393P cells that were induced for GFP (Vector control) expression for different times as indicated. (C) qPCR analysis for relative expression of mature mouse miR-200a, 200b and 200c in 393P cells that were induced for GFP (vector control) expression for different times as indicated. (D) qPCR analysis for relative expression of mouse miR-141 and miR-429 in 393P-Foxf2 inducible cells that has been induced for different periods of time as indicated. (E) Western Blot analysis for expression of Zeb1, ECad and Foxf2 in 393P cells that were induced for GFP (vector control) expression for different times as indicated, after transfection of either control siRNA (si-Control) or siRNA targeting Zeb1 (si-Zeb1). (F) Western blot analysis for expression of Zeb1, E-Cad and Foxf2 in 393P cells that were induced for GFP (Vector control)for different times, with simultaneous stable expression of scrambled or shRNA hairpin effectively targeting Zeb1. (G) Western blot analysis for expression of Zeb1, E-Cad and Foxf2 in 393P cells that were induced for Foxf2 expression for different times, with simultaneous stable expression of scrambled or shRNA hairpin effectively targeting Zeb1. Relative band intensities for Zeb1 or E-Cad, normalized to respective Actin band intensities are shown for each lanes. (H) qPCR analysis for relative expression of mouse E-Cad in 393P cells that were induced for Foxf2 expression for different times, with simultaneous stable expression of either scrambled or shRNA hairpin effectively targeting Zeb1. (Asterisks indicate significance p≤0.05)

Supplementary Table 7

List of miRNA precursors and miRVana miRNA inhibitors.
  78 in total

1.  A p21-ZEB1 complex inhibits epithelial-mesenchymal transition through the microRNA 183-96-182 cluster.

Authors:  Xiao Ling Li; Toshifumi Hara; Youngeun Choi; Murugan Subramanian; Princy Francis; Sven Bilke; Robert L Walker; Marbin Pineda; Yuelin Zhu; Yuan Yang; Ji Luo; Lalage M Wakefield; Thomas Brabletz; Ben Ho Park; Sudha Sharma; Dipanjan Chowdhury; Paul S Meltzer; Ashish Lal
Journal:  Mol Cell Biol       Date:  2013-11-25       Impact factor: 4.272

2.  Cancer statistics, 2014.

Authors:  Rebecca Siegel; Jiemin Ma; Zhaohui Zou; Ahmedin Jemal
Journal:  CA Cancer J Clin       Date:  2014-01-07       Impact factor: 508.702

Review 3.  Forkhead box proteins: tuning forks for transcriptional harmony.

Authors:  Eric W-F Lam; Jan J Brosens; Ana R Gomes; Chuay-Yeng Koo
Journal:  Nat Rev Cancer       Date:  2013-07       Impact factor: 60.716

Review 4.  The emerging role of miR-200 family of microRNAs in epithelial-mesenchymal transition and cancer metastasis.

Authors:  Manav Korpal; Yibin Kang
Journal:  RNA Biol       Date:  2008 Jul-Sep       Impact factor: 4.652

Review 5.  MicroRNAs in Cancer.

Authors:  Ramiro Garzon; George A Calin; Carlo M Croce
Journal:  Annu Rev Med       Date:  2009       Impact factor: 13.739

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

Review 7.  Control of metastatic progression by microRNA regulatory networks.

Authors:  Nora Pencheva; Sohail F Tavazoie
Journal:  Nat Cell Biol       Date:  2013-06       Impact factor: 28.824

8.  Activation of miR200 by c-Myb depends on ZEB1 expression and miR200 promoter methylation.

Authors:  Marco Pieraccioli; Francesca Imbastari; Alexey Antonov; Gerry Melino; Giuseppe Raschellà
Journal:  Cell Cycle       Date:  2013-07-15       Impact factor: 4.534

9.  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

Review 10.  Epithelial-mesenchymal plasticity in carcinoma metastasis.

Authors:  Jeff H Tsai; Jing Yang
Journal:  Genes Dev       Date:  2013-10-15       Impact factor: 11.361

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  63 in total

1.  miR-183 and miR-21 expression as biomarkers of progression and survival in tongue carcinoma patients.

Authors:  Gordana Supic; Katarina Zeljic; Aleksandra Divac Rankov; Ruzica Kozomara; Aleksandra Nikolic; Dragica Radojkovic; Zvonko Magic
Journal:  Clin Oral Investig       Date:  2017-06-14       Impact factor: 3.573

2.  MicroRNA-886-3P functions as a tumor suppressor in small cell lung cancer.

Authors:  Jie Shen; Wei Zhou; Nan Bi; Yong-Mei Song; Fu-Quan Zhang; Qi-Min Zhan; Lv-Hua Wang
Journal:  Cancer Biol Ther       Date:  2018-09-19       Impact factor: 4.742

3.  Pan-cancer survey of epithelial-mesenchymal transition markers across the Cancer Genome Atlas.

Authors:  Don L Gibbons; Chad J Creighton
Journal:  Dev Dyn       Date:  2017-05-04       Impact factor: 3.780

Review 4.  Entangling Relation of Micro RNA-let7, miRNA-200 and miRNA-125 with Various Cancers.

Authors:  Nosheen Masood; Zarrin Basharat; Tabeer Khan; Azra Yasmin
Journal:  Pathol Oncol Res       Date:  2017-01-09       Impact factor: 3.201

5.  The epithelial-to-mesenchymal transition activator ZEB1 initiates a prometastatic competing endogenous RNA network.

Authors:  Xiaochao Tan; Priyam Banerjee; Xin Liu; Jiang Yu; Don L Gibbons; Ping Wu; Kenneth L Scott; Lixia Diao; Xiaofeng Zheng; Jing Wang; Ali Jalali; Milind Suraokar; Junya Fujimoto; Carmen Behrens; Xiuping Liu; Chang-Gong Liu; Chad J Creighton; Ignacio I Wistuba; Jonathan M Kurie
Journal:  J Clin Invest       Date:  2018-02-26       Impact factor: 14.808

Review 6.  MicroRNAs in the pathobiology of sarcomas.

Authors:  Anne E Sarver; Subbaya Subramanian
Journal:  Lab Invest       Date:  2015-06-29       Impact factor: 5.662

7.  The controversial role of forkhead box F2 (FOXF2) transcription factor in breast cancer.

Authors:  Pang-Kuo Lo
Journal:  PRAS Open       Date:  2017-07-22

8.  Overexpression of microRNA-96-5p inhibits autophagy and apoptosis and enhances the proliferation, migration and invasiveness of human breast cancer cells.

Authors:  Yawei Shi; Yang Zhao; Nan Shao; Runyi Ye; Yin Lin; Ning Zhang; Wen Li; Yunjian Zhang; Shenming Wang
Journal:  Oncol Lett       Date:  2017-04-11       Impact factor: 2.967

9.  Epithelial-to-mesenchymal transition drives a pro-metastatic Golgi compaction process through scaffolding protein PAQR11.

Authors:  Xiaochao Tan; Priyam Banerjee; Hou-Fu Guo; Stephen Ireland; Daniela Pankova; Young-Ho Ahn; Irodotos Michail Nikolaidis; Xin Liu; Yanbin Zhao; Yongming Xue; Alan R Burns; Jonathon Roybal; Don L Gibbons; Tomasz Zal; Chad J Creighton; Daniel Ungar; Yanzhuang Wang; Jonathan M Kurie
Journal:  J Clin Invest       Date:  2016-11-21       Impact factor: 14.808

10.  MicroRNA-183-5p: A New Potential Marker for Prostate Cancer.

Authors:  Mohammad Waseem; Mohammad Kaleem Ahmad; Mohammad Serajuddin; Ved Bhaskar; Satya Narain Sankhwar; Abbas Ali Mahdi
Journal:  Indian J Clin Biochem       Date:  2017-12-29
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