- Research article
- Open Access
- Open Peer Review
This article has Open Peer Review reports available.
Human cancer cells express Slug-based epithelial-mesenchymal transition gene expression signature obtained in vivo
- Dimitris Anastassiou2, 6Email author,
- Viktoria Rumjantseva6,
- Weiyi Cheng2, 6,
- Jianzhong Huang6,
- Peter D Canoll3,
- Darrell J Yamashiro†1, 3, 5 and
- Jessica J Kandel†1, 4, 5Email author
© Anastassiou et al; licensee BioMed Central Ltd. 2011
Received: 16 September 2011
Accepted: 30 December 2011
Published: 30 December 2011
The biological mechanisms underlying cancer cell motility and invasiveness remain unclear, although it has been hypothesized that they involve some type of epithelial-mesenchymal transition (EMT).
We used xenograft models of human cancer cells in immunocompromised mice, profiling the harvested tumors separately with species-specific probes and computationally analyzing the results.
Here we show that human cancer cells express in vivo a precise multi-cancer invasion-associated gene expression signature that prominently includes many EMT markers, among them the transcription factor Slug, fibronectin, and α-SMA. We found that human, but not mouse, cells express the signature and Slug is the only upregulated EMT-inducing transcription factor. The signature is also present in samples from many publicly available cancer gene expression datasets, suggesting that it is produced by the cancer cells themselves in multiple cancer types, including nonepithelial cancers such as neuroblastoma. Furthermore, we found that the presence of the signature in human xenografted cells was associated with a downregulation of adipocyte markers in the mouse tissue adjacent to the invasive tumor, suggesting that the signature is triggered by contextual microenvironmental interactions when the cancer cells encounter adipocytes, as previously reported.
The known, precise and consistent gene composition of this cancer mesenchymal transition signature, particularly when combined with simultaneous analysis of the adjacent microenvironment, provides unique opportunities for shedding light on the underlying mechanisms of cancer invasiveness as well as identifying potential diagnostic markers and targets for metastasis-inhibiting therapeutics.
It has been hypothesized [1–3] that cancer cells become invasive and migratory by undergoing some type of epithelial-mesenchymal transition (EMT) reactivating early embryogenesis programs. Each type of EMT is assumed to be orchestrated by different unknown combinations of multiple interacting transcription factors and signaling pathways. A set of genes comprising an "EMT core signature" was recently derived  after triggering EMTs in different ways and observing the resulting shared changes in gene expression. However, the details of the specific types of EMT associated with cancer invasion remain elusive and complicated by the difficulty of detecting signs of EMT in human cancer cells, and the topic remains controversial.
A multi-cancer gene expression signature involving a large set of genes, several among them being EMT markers coordinately overexpressed only in a subset of malignant samples that have exceeded a particular staging threshold specific to each cancer type was recently identified . The signature is present in numerous publicly available datasets from multiple cancer types from all solid tumor types that we tried, including nonepithelial cancers such as neuroblastoma and Ewing's sarcoma but not in leukemia. Examples of heat maps are shown for breast [see Additional file 1], colon [see Additional file 2], Ewing's sarcoma [see Additional file 3], lung [see Additional file 4], ovarian [see Additional file 5], neuroblastoma [see Additional file 6] and leukemia [see Additional file 7], demonstrating the remarkable co-expression of the genes in solid tumors. Among the overexpressed genes are the EMT inducing transcription factor Slug (SNAI2), various collagens and proteinases, α-SMA, fibronectin, fibroblast activation protein, and many extracellular matrix glycoproteins, suggesting a fibroblastic nature after passing through a Slug-based EMT.
Top genes overexpressed in the fibroblastic signature (see text for designation with boldface and underline)
The initiation of significant signature overexpression after reaching a particular cancer-type-specific stage suggests an underlying biological mechanism associated with cancer invasion. Given the heterogeneity of cells in tumors, it could also reflect the superposition of several mechanisms. Among other possibilities, the fibroblast-like cells producing the signature could be derived from multiple sources, such as the bone marrow, the local stroma, or the cancer cells after undergoing a mesenchymal transition. A fundamental question, therefore, is which among the genes of the signature are expressed by the cancer cells and which are expressed by the adjacent microenvironment.
We also observed that there is a striking similarity  between the set of genes in the signature and a subset of the genes that are known to be lower expressed when mouse embryonic fibroblasts are reprogrammed into induced pluripotent stem cells . Because it is known  that a mesenchymal-epithelial transition (MET) is part of the reprogramming of mouse fibroblasts into stem cells, we reasoned that, conversely, the signature may correspond to some kind of EMT-related transition from a stem-like state to a fibroblast-like state used in early embryogenesis. Therefore, we hypothesized that many among the genes in the signature may be expressed by cancer stem cells (CSCs) passing through some type of EMT. Furthermore, because of the prominent presence of inhibin-A (INHBA) in the signature, we hypothesized that activin A (INHBA dimer) signaling may be responsible for the signature.
To test these two hypotheses and to identify which among the genes of the signature, if any, are expressed by the cancer cells, we used xenograft models implanting human cancer cell lines into NCR nude mice. Since the signature was clearly found in neuroblastoma [see Additional file 6], in which we already had successful experience of xenograft experimentation, we used a neuroblastoma cell line even though it is not strictly an epithelial tumor, as this could shed further light on the complex biological underlying mechanisms. Some of the implanted cancer cell lines were in their original form, some were engineered to express INHBA, and some were engineered to express the activin antagonist follistatin (FST). Each of the resulting growing tumors was harvested and profiled for gene expression twice using human and mouse microarrays separately. Our results validated the first hypothesis, but not the second: Most of the genes of the signature were found in human, but not mouse, cells, and their presence was independent of any transfections, indicating that activin signaling does not play a causal role.
An inoculum of 106 NGP neuroblastoma cells containing FUW-Luciferase plasmid (kindly donated by Dr. Adolfo Ferrando) suspended in 0.1 mL of phosphate-buffered saline (PBS) was injected into the left kidney of 18 mice. The NGP cell line was originally obtained from Garrett Brodeur, Children's Hospital of Philadelphia. All cells were authenticated by short tandem repeat profiling analysis. Some of the implanted cells had previously been stably co-transfected with either FST-pReceiver-Lv105 or INHBA pReceiver-Lv105 (GeneCopoeia; Rockville, MD). Seven mice were implanted with INHBA-transfected NGP cells, six with FST and five with control NGP cells. All mice experiments and breeding were conducted according to protocols approved by the Columbia University IACUC.
Harvesting of specimens
Mice were sacrificed when estimated tumor weight reached 1.5 g followed by collection of contralateral kidney and tumor. Tumor tissue was snap frozen for RNA isolation.
Microarrays and probes preparation
HG-U133A 2.0 (human genome) and 430 A2.0 (mouse genome) Gene Chips (Affymetrix, Santa Clara, CA) were used to investigate gene expression in xenograft tumors. The cRNA probes were synthesized as recommended by Affymetrix, purified using RNeasy and fragmented according to the Affymetrix protocol, and 15 μg of biotinylated cRNA were hybridized to the microarrays. The samples were scanned with Affymetrix Gene Chip Scanner 3000.
RNA isolation and semiquantitative reverse transcription-PCR
Total RNA was isolated from tumors using Qiagen miRNeasy mini kit (Qiagen, Germantown, MD) followed by reverse transcription using SuperScript First-Strand synthesis System for RT-PCR from Invitrogen according to manufacture recommendations (Carlsbad, CA, USA). Relative expression of human versus mouse COL11A1 (Hs00266273_m1, Ms00483387_m1) genes in tumor xenografts were examined by RT-PCR. Products were detected by Hot Start-IT Probe qPCR Master Mix from USB Affymetrix (Santa Clara, CA) according to manufacture instructions and analyzed by Stratagene Mx3005p real time PCR machine. After scanning, expression values for genes were determined using MxPro 410 (Agilent Technologies, Inc., Santa Clara, CA). Human HPRT, CYC, GAPD and mouse GAPD, ACTB, GUSB expression values were used to correct for sample variations in RT-PCR efficiency and errors in quantitation.
The data set, corresponding to 18 tumors profiled separately with human and mouse microarrays, has been deposited in NCBI's Gene Expression Omnibus (GEO) and is available through accession number GSE34481. Data were RMA normalized using the Bioconductor open source software.
Differential expression analysis
We regrouped the 18 samples, according to the expression level of human COL11A1, into seven samples with high or intermediate COL11A1 expression values, and eleven with low COL11A1 expression values. Based on this partition, we performed differential expression analysis using significance analysis of microarrays (SAM) , implemented in the Bioconductor package samr. We define the significantly differentially expressed gene as those having both a Q value less than 0.05 and a fold-change greater than 2.
Based on this partition, we identified 398 significantly (both Q < 0.05 and FC > 2) up-regulated genes, 29 among which (COL11A1, THBS2, COL5A2, COL5A1, VCAN, COL1A1, COL3A1, FN1,SULF1, FBN1, ASPN, SPARC, CTSK, MMP2, BGN, LUM, LOXL2, COL6A3, TIMP3, CDH11, SERPINF1, EDNRA, ACTA2, PDGFRB, SNAI2, LGALS1, GLT8D2, NID2, PRRX1) belong to the set of 64 genes in Table 1 (P = 10-27), as well as VIM (vimentin). The presence in this list of SNAI2 (Slug), ACTA2 (α-SMA), FN1 (fibronectin), VIM (vimentin), together with many of the other EMT markers mentioned above, indicates that some human cancer cells underwent EMT. Other EMT-inducing transcription factors (Snail, Twist, ZEB1, ZEB2, SIP1, FOXC2) were not upregulated (Figure 2CC), while the upregulation of SNAI2 (Figure 2A) was very significant (Q < 3 × 10-4 and FC = 5.22).
These same 29 genes are used in the heat maps shown in the Additional files, suggesting that the same signature may be expressed in all solid tumors, even in nonepithelial tumors, such as neuroblastoma and Ewing's sarcoma. Therefore, our results imply that the underlying mesenchymal transition process is more general than what EMT is presumed to be.
We next analyzed the mouse microarray data to identify genes correlated with the presence of the cancer EMT signature in the human cells. We found 32 significantly (both Q < 0.05 and FC > 2) downregulated mouse genes in the presence of the human cancer EMT signature. Among them, the top two genes with the highest fold change (12.3 and 11.8 respectively) were the adipocyte markers adiponectin (ADIPOQ) and adipsin (CFD). We observed that these genes were strongly co-regulated with many other adipocyte markers, including fatty acid binding protein 4 (FABP4) aka aP2. This cluster of adipocyte markers whose downregulation in the mouse cells is strongly associated with the upregulation of the EMT signature genes in human cells is also shown in the heat map of Figure 4. Many among these genes are known as adipocyte differentiation markers, and their downregulation is consistent with the finding that adipocytes are dedifferentiated as they encounter adjacent invading cancer cells in a "vicious cycle"  of a complex interaction facilitating cancer cell invasiveness. The observed downregulation of adipocyte markers in the adjacent mouse tissue, associated with the EMT-specific gene expression of the human cells provides a potential molecular control mechanism of microenvironmental contextual interactions in accordance with previously published results.
In summary, we have shown that a precise multi-cancer EMT signature present in numerous publicly available datasets was found in our xenograft experiments not to be expressed by the stromal cells, but instead by the human cancer cells themselves in vivo. Prior to our experiments, this was an open question. Indeed, similar signatures were usually referred to as "stromal," because they contain genes, such as a-SMA, that are typically found in stromal cells such as fibroblasts. Therefore, our results are consistent with the hypothesis that an EMT can convert cancer cells into mesenchymal, fibroblast-like cells that may well assume the duties of cancer-associated fibroblasts in some tumors . Of additional significance is the knowledge of the precise composition of this particular Slug-based signature (as found both in our xenograft experiments as well as numerous cancer datasets) as it provides opportunities for identifying potential targets for inhibiting the underlying biological mechanism of mesenchymal transition of cancer cells.
The quality of "stemness" in cells appears to be closely interconnected with the ability to pass through transitions to and from mesenchymal characteristics. Indeed, EMT generates cells with properties of stem cells  and, conversely, MET is involved in the reprogramming of fibroblasts into stem cells . Therefore, we speculate  that the cancer mesenchymal transition signature identified in this work may initiate from CSCs, which may even appear spontaneously . It is also possible that the adipocytes of the stroma adjacent to the tumor are dedifferentiated into a mesenchymal stem cell-like state and, together with other mesenchymal stem cells derived from the bone marrow  interact with the invading fibroblastic cancer cells in a manner that reactivates a particular early embryonic developmental program.
Not all genes in Table 1 are upregulated in the human cells. For example, PLAU (urokinase plasminogen activator) is slightly upregulated only in mouse cells consistently with its assumed role of being secreted by reactive stromal cells as a pro-enzyme that activates itself and other proteases in the presence of cancer cells.
Another prominent gene of the signature observed in public databases that was not upregulated in the human xenografted cells is MMP11 (matrix metallopeptidase 11, aka stromelysin 3), in agreement with the hypothesis [13, 18, 19] that MMP11 is expressed in the adipocytes of the adjacent reactive stroma, indicating that the full version of the cancer mesenchymal transition signature may be stabilized by contextual microenvironmental signals when cancer cells encounter adipocytes triggering their dedifferentiation, apoptosis, or metabolism . The expression in cancer cells of the adipocyte enhancer binding protein 1 (AEBP1), a prominent gene of the signature known to bind in the promoter region of the adipocyte fatty-acid protein FABP4 may play an important role in that respect, as may also the presence of oxidative stress and TNF signaling suggested by the presence of TNFAIP6 and C1QTNF3 in the signature.
The hypothesis that the mesenchymal transition signature is triggered by adipocytes is consistent with the facts  that in breast cancer the signature overexpression appears immediately upon reaching invasive stage I, while in ovarian cancer overexpression appears only when the tumor is already well into stage III as in omental metastasis, because ovarian cancer initially progresses by disseminating locally across mesothelial surfaces and probably carried by the physiological movement of peritoneal fluid to the peritoneum and omentum, a fatty structure .
The remarkable continuity of the signature (Figures 1 and 2) suggests that it may reflect a reversible process in which the mesenchymal markers in the cancer cells may appear and disappear depending on microenvironmental contextual signals. Its potential reversal is consistent with the possibility that passing through this mesenchymal transition at some point is a requirement for the initial stage of all metastases, even though the signature is significantly observed only in a subset of high-stage extracted samples at any given time. In other words, the lack of the signature in a particular extracted sample does not imply that cancer is not invasive, because the signature may have appeared earlier. However, the presence of the signature implies that the cancer is invasive; therefore a potential related biomarker product would have high selectivity, but not sensitivity.
Many among the genes of the signature expressed by the human xenografted cells have previously been individually identified as associated with metastatic potential in cancer. Such associations can now largely be explained by the fact that these genes are expressed by the cancer cells themselves undergoing a mesenchymal transition. The known precise composition of the signature, particularly when combined with its separation in a species-specific manner in xenograft models, provides multiple and unique opportunities for understanding the underlying biological mechanisms and identifying diagnostic and prognostic markers as well as potential targets for metastasis-inhibiting therapeutics.
- Hay ED: An overview of epithelio-mesenchymal transformation. Acta Anat (Basel). 1995, 154 (1): 8-20. 10.1159/000147748.View ArticleGoogle Scholar
- Thiery JP: Epithelial-mesenchymal transitions in tumour progression. Nat Rev Cancer. 2002, 2 (6): 442-454. 10.1038/nrc822.View ArticlePubMedGoogle Scholar
- Kalluri R, Weinberg RA: The basics of epithelial-mesenchymal transition. J Clin Invest. 2009, 119 (6): 1420-1428. 10.1172/JCI39104.View ArticlePubMedPubMed CentralGoogle Scholar
- Taube JH, Herschkowitz JI, Komurov K, Zhou AY, Gupta S, Yang J, Hartwell K, Onder TT, Gupta PB, Evans KW, et al: Core epithelial-to-mesenchymal transition interactome gene-expression signature is associated with claudin-low and metaplastic breast cancer subtypes. Proc Natl Acad Sci USA. 2010, 107 (35): 15449-15454. 10.1073/pnas.1004900107.View ArticlePubMedPubMed CentralGoogle Scholar
- Kim H, Watkinson J, Varadan V, Anastassiou D: Multi-cancer computational analysis reveals invasion-associated variant of desmoplastic reaction involving INHBA, THBS2 and COL11A1. BMC Med Genomics. 2010, 3: 51-10.1186/1755-8794-3-51.View ArticlePubMedPubMed CentralGoogle Scholar
- Cover TM, Thomas JA: Elements of information theory. 2006, Hoboken, N.J.: Wiley-Interscience, 2Google Scholar
- Jechlinger M, Grunert S, Tamir IH, Janda E, Ludemann S, Waerner T, Seither P, Weith A, Beug H, Kraut N: Expression profiling of epithelial plasticity in tumor progression. Oncogene. 2003, 22 (46): 7155-7169. 10.1038/sj.onc.1206887.View ArticlePubMedGoogle Scholar
- Cheng WY, Kim H, Kandel J, Anastassiou D: Cancer invasion associated gene expression signature is present in differentially expressed genes in the reprogramming of fibroblasts into stem cells. 2011, Available from Nature Precedings<http://hdl.handle.net/10101/npre.2011.5924.1>Google Scholar
- Boue S, Paramonov I, Barrero MJ, Izpisua Belmonte JC: Analysis of human and mouse reprogramming of somatic cells to induced pluripotent stem cells. What is in the plate?. PLoS One. 2010, 5 (9):Google Scholar
- Polo JM, Hochedlinger K: When fibroblasts MET iPSCs. Cell Stem Cell. 2010, 7 (1): 5-6. 10.1016/j.stem.2010.05.018.View ArticlePubMedGoogle Scholar
- Tusher VG, Tibshirani R, Chu G: Significance analysis of microarrays applied to the ionizing radiation response. Proc Natl Acad Sci USA. 2001, 98 (9): 5116-5121. 10.1073/pnas.091062498.View ArticlePubMedPubMed CentralGoogle Scholar
- Samuels AL, Peeva VK, Papa RA, Firth MJ, Francis RW, Beesley AH, Lock RB, Kees UR: Validation of a mouse xenograft model system for gene expression analysis of human acute lymphoblastic leukaemia. BMC Genomics. 2010, 11: 256-10.1186/1471-2164-11-256.View ArticlePubMedPubMed CentralGoogle Scholar
- Motrescu ER, Rio MC: Cancer cells, adipocytes and matrix metalloproteinase 11: a vicious tumor progression cycle. Biol Chem. 2008, 389 (8): 1037-1041. 10.1515/BC.2008.110.View ArticlePubMedGoogle Scholar
- Hanahan D, Weinberg RA: Hallmarks of cancer: the next generation. Cell. 2011, 144 (5): 646-674. 10.1016/j.cell.2011.02.013.View ArticlePubMedGoogle Scholar
- Mani SA, Guo W, Liao MJ, Eaton EN, Ayyanan A, Zhou AY, Brooks M, Reinhard F, Zhang CC, Shipitsin M, et al: The epithelial-mesenchymal transition generates cells with properties of stem cells. Cell. 2008, 133 (4): 704-715. 10.1016/j.cell.2008.03.027.View ArticlePubMedPubMed CentralGoogle Scholar
- Chaffer CL, Brueckmann I, Scheel C, Kaestli AJ, Wiggins PA, Rodrigues LO, Brooks M, Reinhardt F, Su Y, Polyak K, et al: Normal and neoplastic nonstem cells can spontaneously convert to a stem-like state. Proc Natl Acad Sci USA. 2011, 108 (19): 7950-7955. 10.1073/pnas.1102454108.View ArticlePubMedPubMed CentralGoogle Scholar
- Quante M, Tu SP, Tomita H, Gonda T, Wang SS, Takashi S, Baik GH, Shibata W, Diprete B, Betz KS, et al: Bone marrow-derived myofibroblasts contribute to the mesenchymal stem cell niche and promote tumor growth. Cancer Cell. 2011, 19 (2): 257-272. 10.1016/j.ccr.2011.01.020.View ArticlePubMedPubMed CentralGoogle Scholar
- Andarawewa KL, Motrescu ER, Chenard MP, Gansmuller A, Stoll I, Tomasetto C, Rio MC: Stromelysin-3 is a potent negative regulator of adipogenesis participating to cancer cell-adipocyte interaction/crosstalk at the tumor invasive front. Cancer Res. 2005, 65 (23): 10862-10871. 10.1158/0008-5472.CAN-05-1231.View ArticlePubMedGoogle Scholar
- Dirat B, Bochet L, Dabek M, Daviaud D, Dauvillier S, Majed B, Wang YY, Meulle A, Salles B, Le Gonidec S, et al: Cancer-associated adipocytes exhibit an activated phenotype and contribute to breast cancer invasion. Cancer Res. 2011, 71 (7): 2455-2465. 10.1158/0008-5472.CAN-10-3323.View ArticlePubMedGoogle Scholar
- Lengyel E: Ovarian cancer development and metastasis. Am J Pathol. 2010, 177 (3): 1053-1064. 10.2353/ajpath.2010.100105.View ArticlePubMedPubMed CentralGoogle Scholar
- The pre-publication history for this paper can be accessed here:http://0-www.biomedcentral.com.brum.beds.ac.uk/1471-2407/11/529/prepub
This article is published under license to BioMed Central Ltd. This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/2.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.