department of experimental surgery, medical …...2013/05/30 · 1 unraveling the role of foxq1 in...
TRANSCRIPT
1
Unraveling the role of FOXQ1 in colorectal cancer metastasis
Mohammed Abba1, Nitin Patil
1, Kabeer Rasheed
2, Laura D. Nelson
3, Giridhar Mudduluru
1, Jörg
Hendrik Leupold1 and Heike Allgayer
1*
1 Department of Experimental Surgery, Medical Faculty Mannheim, University of Heidelberg, and Department
of Molecular Oncology of Solid Tumors Unit, German Cancer Research Center (DKFZ), Heidelberg, Germany
2 Cancer and Stem Cell Biology Program, Duke-NUS Graduate Medical School, Singapore
3 Department of Pediatrics, University of Texas, M.D Anderson Cancer Center, Houston, Texas
*to whom correspondence should be addressed:
Prof. Heike Allgayer
Dept. of Experimental Surgery, Medical Faculty Mannheim,
Ruprecht Karls University Heidelberg and,
Molecular Oncology of Solid Tumors Unit,
German Cancer Research Center (DKFZ), Heidelberg,
Medical Faculty Mannheim, University of Heidelberg,
Theodor Kutzer Ufer 1-3, D-68135
Mannheim, Germany.
e-mail: [email protected]
Abstract word count: 186
Key words: FOXQ1, Twist1, transcriptional regulation, metastasis
Conflict of interest: All authors declare no conflict of interest
on June 18, 2020. © 2013 American Association for Cancer Research. mcr.aacrjournals.org Downloaded from
Author manuscripts have been peer reviewed and accepted for publication but have not yet been edited. Author Manuscript Published OnlineFirst on May 30, 2013; DOI: 10.1158/1541-7786.MCR-13-0024
2
Abstract
Malignant cell transformation, invasion and metastasis are dependent on the coordinated
rewiring of gene expression. A major component in the scaffold of these reprogramming
events is one in which epithelial cells lose intercellular connections and polarity and adopt a
motile mesenchymal phenotype, one that is largely supported by a robust transcriptional
machinery consisting mostly of developmental transcription factors.
In this study, we show that the winged helix transcription factor, FOXQ1, contributes to this
process, in part by directly modulating the transcription of Twist1, itself a key mediator of
metastasis, that transcriptionally regulates the expression of important molecules involved in
epithelial to mesenchymal transition (EMT). Forced expression and RNA-mediated silencing
of FOXQ1 led to enhanced and suppressed mRNA and protein levels of Twist1 respectively
with FOXQ1 enhancing the reporter activity of Twist1 in addition directly interacting with its
promoter. Furthermore, enhanced expression of FOXQ1 resulted in increased migration and
invasion in colorectal cancer cell lines, while knock-down studies showed the opposite effect.
Moreover using the in vivo chicken chorioallantoic membrane metastasis assay model, we
showed that FOXQ1 significantly enhanced distant metastasis with insignificant effects on
tumor growth.
on June 18, 2020. © 2013 American Association for Cancer Research. mcr.aacrjournals.org Downloaded from
Author manuscripts have been peer reviewed and accepted for publication but have not yet been edited. Author Manuscript Published OnlineFirst on May 30, 2013; DOI: 10.1158/1541-7786.MCR-13-0024
3
Introduction
Metastasis is the leading cause of cancer related mortality in almost all cancer types, and
occurs as a result of a coordinated progression of crucial steps encompassing local invasion,
intravasation, survival in the circulation, extravasation, formation of micrometastasis and
colonization (1). Intricately interwoven in this progression cascade is an orchestrated series of
events that disrupt cell to cell and cell-extracellular matrix (ECM) interactions, enhancing
cell motility and liberating epithelial cells from the surrounding tissue. This program involves
in most instances the induction of a new transcriptional program that stimulates and
maintains a mesenchymal phenotype and has come to be recognized as a fundamental
mechanism that induces invasion and metastasis of tumor cells (2-5). Additional molecular
processes are also engaged in the completion of this transition program and include the
expression of specific cell-surface proteins, reorganization and expression of cytoskeletal
proteins, production of ECM-degrading enzymes, and changes in the expression of specific
microRNAs.
FOXQ1 belongs to the large forkhead family of transcription factors that share a conserved
C-terminal forkhead/winged helix DNA-binding domain (6). Most forkhead family members
have confirmed roles in embryonic development and tissue-specific gene expression (6-8).
FOXQ1 itself is a ~ 42kDa protein sharing the same paralogous cluster as FOXF2 and
FOXC1 (9), and has been shown to be involved in hair follicle differentiation, gastrulation
and mucin production in mice (10-12). Recent reports have confirmed it to be a downstream
target of TGF-β, where it enhances mesenchymal transformation that appears to be cell type
dependent (13, 14). Furthermore, it has been found to be over-expressed in colorectal and
breast cancers, where it has been shown to enhance tumorigenicity, anti-apoptotic behavior
and tumor growth (14-16). A direct modulation of p21CIP1/WAF1 expression was shown to
explain the anti-apoptotic effects in colorectal cancer (15), with independent experiments in
on June 18, 2020. © 2013 American Association for Cancer Research. mcr.aacrjournals.org Downloaded from
Author manuscripts have been peer reviewed and accepted for publication but have not yet been edited. Author Manuscript Published OnlineFirst on May 30, 2013; DOI: 10.1158/1541-7786.MCR-13-0024
4
breast cancer cell lines showing an acquired resistance to chemotherapy-induced apoptosis
upon forced expression, and concurrent correlations to aggressive behavior, especially in
triple negative breast tumors (16). It has also been found to be of prognostic relevance in non-
small cell lung cancer (NSCLC) (17).
Although substantial evidence supports the tumorigenic effect of FOXQ1, and correlation
analyses have linked it to aggressive tumor behavior, the exact mechanisms by which this
occurs have not been properly elucidated. Clearly, it has been shown to stimulate the
expression of the cyclin kinase inhibitor, p21CIP1/WAF1 by binding its core promoter (15), and
to induce a suppression of E-cadherin expression, by supposedly binding to E-box elements
in its promoter, with conflicting reports regarding the validation of the latter (14, 16). As a
transcription factor, it is clear that unraveling its functionality depends to a large extent on
identifying its direct targets, and the dissection of its’ metastatic influence hinges on
ascertaining which one(s) of these targets bear consequences on already known/novel
metastatic molecules or, on metastatic pathways.
In the search of FOXQ1 targets which could explain its’ metastatic predisposition, we
decided to explore genes whose expressions’ were both down-regulated when FOXQ1 was
suppressed, and conversely upregulated when FOXQ1 was forcibly expressed. The selection
of the investigated genes was based on a selected panel of genes known to be intricately
involved in EMT in addition to a gene pool, whose expression we found to be simultaneously
deregulated in tumor epithelium, stroma and whole-tissue compared to the corresponding
normal equivalents following a microarray analysis of whole and laser-capture
microdissected colorectal cancer tissues (18). This additional gene pool was equally
implicated in epithelial to mesenchymal transition. The investigation was carried out in
on June 18, 2020. © 2013 American Association for Cancer Research. mcr.aacrjournals.org Downloaded from
Author manuscripts have been peer reviewed and accepted for publication but have not yet been edited. Author Manuscript Published OnlineFirst on May 30, 2013; DOI: 10.1158/1541-7786.MCR-13-0024
5
endogenously high and low FOXQ1-expressing colorectal cancer cell lines and two genes; E-
cadherin and Twist1 showed consistent changes in both experimental set-ups.
In this study, we show that FOXQ1 expression correlates substantially with Twist1 in
colorectal cell lines, and in resected patient tissues, that Twist1 is a direct target of FOXQ1,
that the over-expression and down regulation of FOXQ1 leads to comparable and consistent
changes in Twist expression, and this leads to significant changes in migration, invasion and
in-vivo metastasis, but with no effect on tumor proliferation.
Materials and Methods
Cell Culture
All cell lines, except GEO, a gift from Douglas Boyd (MD Anderson Cancer Center), and
Colo206F from the German Collection of Micro-organisms and Cell Cultures (DSMZ), were
obtained from the ATCC. The Colo206f, SW480 and HeLa cell lines were maintained in
RPMI media supplemented with 10% FCS, GEO was cultivated in DMEM, whereas WiDR
was in maintained in MEM. All cell lines were kept in a humidified incubator at 37oC with
5% CO2.
Plasmids and cloning
The full-length FOXQ1 coding region (IRATp970A1179D) was bought from Imagenes
(Source Bioscience Lifesciences, UK) and was subcloned into the pCDNA 3.1 vector
between the EcoRI and HindIII sites. The EGFP gene from the pEGFP C1 vector was cut out
and cloned into the multiple cloning site of pCDNA 3.1 (NheI/EcoRI) in front of the FOXQ1
gene. This construct was used for all over-expression analysis. The abridged coding sequence
was PCR amplified using the following primer sequences FX08 Fwd: 5’TCG GAT CCA
on June 18, 2020. © 2013 American Association for Cancer Research. mcr.aacrjournals.org Downloaded from
Author manuscripts have been peer reviewed and accepted for publication but have not yet been edited. Author Manuscript Published OnlineFirst on May 30, 2013; DOI: 10.1158/1541-7786.MCR-13-0024
6
TGA AGT TGG AGG TGT TC 3’; FX08 Rev: 5’ TTC TCG AGA TGA AGG GAA GGA
GGA GC 3’and cloned into a HA tagged pcDNA 3.1 vector in frame with the tag between the
Xho and BamHI sites. This construct was used in the chromatin immunoprecipitation assays.
All transient transfections (with Metafectane) were evaluated at 24hr time points. Stable
Colo206f and GEO cell lines were selected on G418 treatment at a concentration of 400 and
600ug/ml, respectively.
siRNA transfections
Two siRNA’s targeting the 5’AGG GAA CCT TTC CAC ACT ATA 3’ (Hs_FOXQ1_3) and
5’CGC GCG GAC TTT GCA CTT TGA 3’ (Hs-FOXQ1_4) segments of FOXQ1 were
purchased from Qiagen (Hilden, Germany)) were applied at a 50nM end concentration using
the HiperFect transfection reagent and protocol (Qiagen, Germany). A greater knockdown
effect was obtained with Hs-FOXQ1_4, which was then used for all subsequent experiments.
The AllStars negative control siRNA (Qiagen, Hilden, Germany) was utilized, as the name
infers. A validated silencer select siRNA for Twist1 (s14523) was purchased from Life
Technologies. Knock-down effects were evaluated at 48 and 96hr time-points for mRNA and
protein expression, respectively.
Quantitative RT-PCR
RT-PCR was done on the LightCycler480 system (Roche) using the SYBR green detection
system (Thermo Scientific, Waltham, USA). All primers: FOXQ1, Twist1, CDH1, CDH2,
CDH3, Snail1, ETV4, TGFB, CLDN1, LPAR1, CTNNB1, Vimentin, KIAA1199, TBP were
purchased from Qiagen from the Quantitect Primer Assay collection (Qiagen, Hilden,
on June 18, 2020. © 2013 American Association for Cancer Research. mcr.aacrjournals.org Downloaded from
Author manuscripts have been peer reviewed and accepted for publication but have not yet been edited. Author Manuscript Published OnlineFirst on May 30, 2013; DOI: 10.1158/1541-7786.MCR-13-0024
7
Germany). Relative expression was calculated using the δδCT method with normalization to
the tata-box binding protein (TBP). Absolute quantification was effected using standard
curves generated from a plasmid containing the gene of interest.
Antibodies and Western Blots
FOXQ1 (C-16), E-cadherin (G10), N-cadherin (8C11) and Twist (Twist2C1a) antibodies
were all purchased from Santa Cruz Biotechnology (Santa Cruz, USA). Actin (A2066) was
purchased from Sigma (St Louis, USA) while β-catenin (L87A12) was from Cell Signaling
(Danvers, USA). Anti-HA tag antibody (ab9110) and rabbit polyclonal IgG (ab27478) were
purchased from Abcam (Cambridge, UK).
For Western blotting, cells were harvested and lysed with RIPA-buffer and protease
inhibitors (Complete Mini, Roche Diagnostics, Indianapolis, USA), protein concentrations
determined with the BCA protein assay kit (Thermo Scientific, USA) and samples separated
by SDS-PAGE as previously described (19). Tissue samples were homogenized with the
Mixer Mills tissue lyser (Retsch, Haan, Germany) before processing, as described for cell
lines.
Reporter gene assays
A Twist1 promoter plasmid (product ID S717559) encompassing -742 to +203 nt relative to
the TSS was purchased from Switchgear Genomics (California, USA). Within this construct
were 4 putative ‘GTTT’ binding sequences located at +39 to +43, -184 to -188, -195 to -199
and -604 to -608 relative to the TSS. The mutant forms were generated using the QuikChange
II site directed mutagenesis kit (Agilent Technologies, Santa Clara, USA). Colo206f cells
were plated at a density of 3 x104 cells/well in 96-well plates, and were transfected after a
24hr incubation period using Metafectane (Biontex Laboratories, Martinsried, Germany).
on June 18, 2020. © 2013 American Association for Cancer Research. mcr.aacrjournals.org Downloaded from
Author manuscripts have been peer reviewed and accepted for publication but have not yet been edited. Author Manuscript Published OnlineFirst on May 30, 2013; DOI: 10.1158/1541-7786.MCR-13-0024
8
Assays were performed in quadruplicates and repeated at least 3 times and reporter signals
were assessed with the LightSwitch luciferase assay kit (SwitchGear Genomics, California,
USA).
Chromatin Immunoprecipitation
The chromatin immunoprecipitation (ChIP) experiments were performed using the ChIP
assay kit (Upstate) from Millipore (Billerica, USA), according to the manufacturer’s
instructions. Colo206f cells were transfected with an empty vector (pcDNA-HA) or HA-
tagged FOXQ1 vector. The putative region of the Twist1 promoter was amplified with the
following primers ChpX Fwd: 5' GTC TCC TCC GAC CGC TTC 3'and ChpX Rev: 5' ATT
CGT CCT CCC AAA CCA TT 3' primers and assayed with both quantitative and semi
quantitative real time PCR.
MTT (3-(4,5-Dimethylthiazol-2)-2,5-diphenyltetrazolium bromide) assay
1x 104 cells were plated in 96 well plates following which 20µl of MTT was added at 0, 24,
48, 72, 96 and 120hr time points. 100 µl of sodium dodecyl sulphate (SDS) diluted in
hydrochloric acid was added 3hrs after the MTT solution (Sigma-Aldrich, St Louis, USA),
followed by measurement of the absorbance at 550 and 640nm. FOXQ1 and vector
transfected stable cell lines (GEO, colo206f), as well as FOXQ1 siRNA and scrambled
transfected cell lines (SW480, WiDr) were evaluated alongside each other.
Migration and invasion assays
Analysis of cell invasion and migration was done using transwell chambers (BD Biosciences,
New Jersey, USA) with and without a (10µg/ml) matrigel coating, respectively. The protocol
is as was previously published (20). Migration was additionally evaluated with the wound
on June 18, 2020. © 2013 American Association for Cancer Research. mcr.aacrjournals.org Downloaded from
Author manuscripts have been peer reviewed and accepted for publication but have not yet been edited. Author Manuscript Published OnlineFirst on May 30, 2013; DOI: 10.1158/1541-7786.MCR-13-0024
9
healing assay. Briefly cells were seeded in 24 well plates at a density that enabled a
confluency of 80% to be attained 24hrs after plating. A 200ul filter tip was used to gently
scratch the cell monolayer across the center of the well 24hrs after seeding. The cells were
then gently washed with PBS to remove the dislodged cells, and then replenished with fresh
medium, after which the first images were acquired. The cells were incubated for a further
24hrs after which a second set of images were acquired.
In vivo chicken chorio-allantoic membrane (CAM) metastatic assay
This is a well-established model for assessing in-vivo metastasis (21-24). Fertilized special
pathogen free (SPF) eggs were purchased from Charles River (Sulzfeld, Germany) and
incubated for 10 days in a rotary incubator, after which 2x106 FOXQ1 and vector expressing
GEO cells were inoculated onto the upper CAM following a miniaturized dissection of the
shell. After a further 7 days of incubation, the developing chicken embryos were sacrificed,
lungs, liver and the developing tumor on the upper CAM removed. Genomic DNA was
isolated from the liver and lungs and the number of metastasized cells evaluated using human
specific Alu-PCR primers and probes, as previously described (25). The tumors removed
from the upper CAM were weighed to assess in vivo tumor growth.
Statistical analysis
Significance was set at p≤0.05. Two tailed unpaired and paired t –tests were employed when
dealing with independent (cell lines, before/after treatment) and dependent (tumor/normal
patient) variables respectively. Correlation analysis was done with the Pearson’s correlation
coefficient and lambda coefficient of association algorithms. Calculations were made using
Sigmaplot, Microsoft Excel and Graph pad prism 5.0 tools.
on June 18, 2020. © 2013 American Association for Cancer Research. mcr.aacrjournals.org Downloaded from
Author manuscripts have been peer reviewed and accepted for publication but have not yet been edited. Author Manuscript Published OnlineFirst on May 30, 2013; DOI: 10.1158/1541-7786.MCR-13-0024
10
Results
FOXQ1 is over-expressed in epithelial and stromal tumor compartments alongside other
EMT genes
Following a microarray analysis of whole-tissue and laser-capture microdissected tissues in a
series of 35 colorectal cancer patients in which epithelial, stromal and whole-tissue
compartments were compared, we found FOXQ1 to be simultaneously over-expressed at the
mRNA level in all three tumor compartments as compared to the equivalent normal samples.
In addition to FOXQ1, the genes identified contained many molecules already implicated in
EMT and cellular differentiation, inclusive of TGFB1, TIMP1, ADAMTS1, LPAR1 and
CLDN1 (Supplementary Table 1). Details describing the identification and validation of this
gene pool are elaborated in our recent publication (18). FOXQ1 was chosen for further
evaluation because of its significant expression in all three compartments, its relevance to the
EMT hypothesis as an embryonic transcription factor, and on its relative obscurity in reports
in literature.
Forced expression and knock-down of FOXQ1 modulates Twist1 expression
In the search for possible molecules that were directly affected by FOXQ1 expression, we
performed, using quantitative RT-PCR, an analytical expression screen of genes identified
from the common microarray gene pool (Supplementary Table 1), concurrently incorporating
other well described, EMT related genes. The expression profile of these genes was evaluated
following enhanced expression and knock down of FOXQ1 in endogenously low and high
mRNA expressing cell lines, respectively. Since the mRNA and protein expression of the cell
lines did not always correlate (Figure 1a), over-expression studies were done in Colo206F
and GEO cell lines (Figure 1b), while knock-down experiments were conducted in both high
mRNA expressing (SW480 and HCT15) and high protein expressing (WiDR) cell lines
on June 18, 2020. © 2013 American Association for Cancer Research. mcr.aacrjournals.org Downloaded from
Author manuscripts have been peer reviewed and accepted for publication but have not yet been edited. Author Manuscript Published OnlineFirst on May 30, 2013; DOI: 10.1158/1541-7786.MCR-13-0024
11
(Figures 1c and d). We observed that of all the genes tested for, CDH1 (E-cadherin) and
Twist1 expression profiles correlated concurrently and significantly with FOXQ1, with
expression levels increasing and decreasing (Twist1 increases, E-cadherin decreases and vice-
versa) with FOXQ1 expression (Figures 1b, c and d). In all situations, there was always a
concomitant cadherin switch, between E-cadherin and either N- (CDH2) or P- (CDH3)
cadherin (Figures 1b, c and d).
Since we observed a systematic correlation of expression between Twist1 and E-cadherin
following FOXQ1 deregulation, and since E-cadherin is a known target of Twist1, we
proceeded to identify if the deregulation of E-cadherin occurred following that of Twist1.
Following the knockdown of FOXQ1 in the SW480 cell line, over a 72hr timeline, we
observed that indeed the expression of Twist1 was affected before that of E-cadherin,
suggesting that the effect of FOXQ1 on E-cadherin was likely mediated through Twist1.
(Figure 1e)
The Twist promoter harbors putative FOXQ1 binding motifs
Upon the realization of two potential candidate genes, whose expressions were affected by
FOXQ1, we proceeded to identify the consensus binding sequence of FOXQ1 and find out if
this sequence occurred in the promoter on any of these genes, the presence of which would
signify a potential direct regulatory effect. Overdier and colleagues (26) identified a core
FOXQ1 binding sequence of ‘TGTTTA’, whereas bioinformatic searches within Transfac
suite (www.biobase-international.com) and JASPER CORE database (www.jasper.cgb.ki.se)
had matrix motifs from rat studies only (Figure 2a), with a core ‘GTTT’ motif. Since FOXQ1
is evolutionarily conserved (Figure 2b), and the forkhead DNA binding domain of the human,
mouse and rat FOXQ1 proteins share 100% identity (6), it implied that the core GTTT
sequence may indeed be valid across many species. A detailed analysis of the respective gene
on June 18, 2020. © 2013 American Association for Cancer Research. mcr.aacrjournals.org Downloaded from
Author manuscripts have been peer reviewed and accepted for publication but have not yet been edited. Author Manuscript Published OnlineFirst on May 30, 2013; DOI: 10.1158/1541-7786.MCR-13-0024
12
promoters revealed that the Twist1 promoter harbored the cis-elements required for FOXQ1
binding (Figure 2c).
FOXQ1 transcriptionally activates Twist1
Sequel to our findings above, we went further to investigate if FOXQ1 transcriptionally
activated Twist1. Reporter gene assays with the -742 to +203 segment of Twist1 promoter
showed a 1.5- to 2-fold increase in Twist1 expression as compared to the control vector
(Figure 3a). Additionally, titrated increments in the concentration of FOXQ1 led to
increments in reporter activity (Figure 3b). Within this construct were 4 putative ‘GTTT’
binding sequences located at +39 to +43, -184 to -188, -195 to -199 and -604 to -608 relative
to the transcription start site (TSS) (27). Two of these sites were within 7 nt of each other
signifying an enhanced binding probability to this location. To verify if these sites were
important in the observed induction of Twist1 expression, we mutated these positions, with
discernibly decreased effects on the reporter activity at the -184 to -199 position (Figure 3c).
To further corroborate our findings, we performed a chromatin immunoprecipitation assay
(ChIP) specifically looking for enrichment of a short fragment containing the two putative
sites that lay in close proximity to each other, where we observed, after normalizing to the
input, an approximately 3-fold increase in the FOXQ1 consensus-binding sites
immunoprecipitated from over-expressing cell lines as compared to the vector control (Figure
3d and e). No significant induction was observed at the +39 to +43 and -604 to -608 sites
(data not shown).
FOXQ1 expression correlates with Twist1 expression in resected patient tissues
To assess the in situ validity of our hypothesis, we compared, using RT-PCR, the relative
mRNA expression between FOXQ1, Twist1, and other EMT related genes taken from our
on June 18, 2020. © 2013 American Association for Cancer Research. mcr.aacrjournals.org Downloaded from
Author manuscripts have been peer reviewed and accepted for publication but have not yet been edited. Author Manuscript Published OnlineFirst on May 30, 2013; DOI: 10.1158/1541-7786.MCR-13-0024
13
microarray experiment in an independent cohort of 45 patients. We obtained a coefficient of
association (λ) of 0.66 for FOXQ1 and Twist1, suggesting an in vivo proof of principle. We
tested this association between other genes where a direct regulatory effect of one on the
other has already been established, where we obtained for instance, in the comparison
between Snail and E-cadherin, and between Twist1 and E-cadherin, coefficient of
associations of 0.428 and 0.483, respectively (Figure 4a). We went further to check for a
correlation at the protein level, with similar results (Figure 4b). In a bid to further validate our
data, we searched open databases, and in the R2 database (http://r2.amc.nl), where several
expression profiling data are available, we found that especially in the MAQC studies, the
correlation between FOXQ1 and Twist1 expression had a coefficient of r = 0.9 (Figure 4c).
The MAQC project generated a data set which compared the consistency of microarray data
between laboratories and across platforms (28), and which supports our findings in colorectal
cancer patients.
Forced expression of FOXQ1 did not result in mesenchymal transformation in Colo206F,
GEO and MDCK II cell lines.
In line with published reports that FOXQ1 induced mesenchymal transformations in certain
cell lines and not in others, we analyzed the phenotypic characteristics of 2 colorectal cancer
cell lines (Colo206f; GEO) and the canine MDCK II cell line normally used in EMT studies.
In all of the 3 cell lines, we found no discernible mesenchymal morphological features with
light microscopy that differentiated FOXQ1 and vector expressing cell lines (data not
shown).
FOXQ1 has no significant effect on cell proliferation and in vivo tumor growth.
on June 18, 2020. © 2013 American Association for Cancer Research. mcr.aacrjournals.org Downloaded from
Author manuscripts have been peer reviewed and accepted for publication but have not yet been edited. Author Manuscript Published OnlineFirst on May 30, 2013; DOI: 10.1158/1541-7786.MCR-13-0024
14
In the bid to unravel the functional significance of FOXQ1 on tumor progression, we
analyzed the effects of FOXQ1 over-expression and knock-down on cell proliferation using
the MTT assay. We found no significant effect on cell proliferation in both sets of
experiments (Figure 5a and 5b). To address the question if this inconsequential effect on cell
proliferation also occurred in vivo, we analyzed the tumor masses that developed on the upper
CAM of eggs inoculated with either FOXQ1 or vector expressing cells where no significant
difference was observed between the groups further supporting the in vitro cell proliferation
assays (Figure 5c).
FOXQ1 enhances tumor migration and invasion.
To dissect the impact that FOXQ1 had on tumor progression, we appraised its influence on
migration and invasion using the Boyden chamber assay, without and with a matrigel coating,
respectively. This was evaluated in four cell lines, two over-expressing FOXQ1 (COLO206F
and GEO) and two in which FOXQ1 expression was suppressed (SW480 and WiDR). We
observed a significant increase in cell migration upon forced expression, and a concurrent
decrease in migration, when FOXQ1 was suppressed (Figure 6a). The same results were
mirrored in the invasion assays, but with a slightly less significance than was obtained for the
migration assay (Figure 6b). Cell migration was additionally evaluated using wound healing
assay (Supplementary Figure 1).
FOXQ1 enhances distant metastasis.
Using the in vivo chicken chorio-allantoic membrane (CAM) metastatic assay, we evaluated
the effect that FOXQ1 expression had on distant tumor metastasis. The liver and lungs of
chicken embryos were dissected following one week of incubation after the inoculation of
FOXQ1- or vector- GEO over expressing cells on the upper CAM. Using real time PCR to
on June 18, 2020. © 2013 American Association for Cancer Research. mcr.aacrjournals.org Downloaded from
Author manuscripts have been peer reviewed and accepted for publication but have not yet been edited. Author Manuscript Published OnlineFirst on May 30, 2013; DOI: 10.1158/1541-7786.MCR-13-0024
15
detect human specific Alu DNA sequences, we were able to show a significant increase in
both lung and liver metastasis, as compared to the vector control (Figure 7a and 7b).
However, as stated above, we did not observe any significant change in the primary tumor
size itself, indicating that the effect of FOXQ1 on metastasis is proliferation independent.
Discussion
This is the first study to demonstrate that FOXQ1 regulates invasion and metastasis in
colorectal cancer. Metastasis is a highly complex process, consisting of at least 5 different
steps (invasion, intravasation, dissemination in the circulation, extravasation and colonization
of distant sites), each of which depends on the action of diverse molecular events. Over the
years, different key molecules have been identified that contribute significantly to at least one
phase of the metastatic cascade, some playing multiple roles in more than one part of the
process.
The epithelial to mesenchymal transition represents an integral part of metastatic progression
and interestingly, several of the molecules and pathways involved converge on critical and
common end points, one of which is E-cadherin (4, 29). E-cadherin is invariably almost
always down-regulated during EMT with a concomitant switch to a mesenchymal cadherin
that may, or may not be associated with an overt phenotypic mesenchymal transformation
(30, 31). This cadherin switch is modulated by a number of transcriptional regulators, one of
which is Twist1 (32).
In this study, we evaluated the forkhead box q1 transcription factor, a relatively new addition
to embryonic transcription factors that are also involved in metastasis, and show that it
modulates its effects in part by acting on Twist1, whose role in epithelial to mesenchymal
on June 18, 2020. © 2013 American Association for Cancer Research. mcr.aacrjournals.org Downloaded from
Author manuscripts have been peer reviewed and accepted for publication but have not yet been edited. Author Manuscript Published OnlineFirst on May 30, 2013; DOI: 10.1158/1541-7786.MCR-13-0024
16
transition is well entrenched (33-35). We postulated that FOXQ1 transactivates Twist1,
which in turn suppresses E-cadherin expression, as supported by the concomitant and
consistent deregulation of these genes upon FOXQ1 overexpression/knock-down, by the fact
that Twist1 is an established regulator of E-cadherin expression and finally by the
observation that Twist1 deregulation precedes that of E-cadherin (Figure 1e). It appears that
the expression of FOXQ1 itself is subject to cell specific posttranscriptional and/or
posttranslational regulation that merits further investigation, as supported by the
inconsistencies in FOXQ1 mRNA and protein levels we observed in the colorectal cancer cell
lines we analyzed, and as corroborated by similar observations in breast cancer cell lines,
where for instance, two relatively high FOXQ1 mRNA expressing cells; MDA-MB-468 and
MB-436 had virtually none, and very high protein expression levels, respectively (16). The
cooperation of multiple transcription factors in the modulation of EMT is not new (36-39).
For example, following TGF-beta treatment in NMuMG cells, Snail1 was found to rapidly
enhance Twist1 mRNA and protein expression, as well as induce the nuclear translocation of
Ets1, and both Twist and Ets1 proceeded to induce the expression of ZEB1 by interacting
with different cis-elements in its promoter (36). Snail1, Twist1 and ZEB1 all repress E-
cadherin expression by binding to E-box elements in its promoter. It is likely that the
interaction of FOXQ1 with Twist1 further reinforces the suppression of E-cadherin
transcription, since FOXQ1 itself does not have any binding elements in the E-cadherin
promoter. Additionally, the ensuing cadherin switch could also be likely due to a direct
consequence of Twist1 modulation, as it has been proven to be a direct regulator of both E-
and N-cadherin expression (40, 41). Interestingly, two recent reports have shown that
FOXQ1 was able to directly repress E-cadherin expression by supposedly binding to E-box
elements in its promoter, however, the in vivo validation was inconsistent, where one group
could, and the other could not demonstrate a convincing FOXQ1 enrichment at the proximal
on June 18, 2020. © 2013 American Association for Cancer Research. mcr.aacrjournals.org Downloaded from
Author manuscripts have been peer reviewed and accepted for publication but have not yet been edited. Author Manuscript Published OnlineFirst on May 30, 2013; DOI: 10.1158/1541-7786.MCR-13-0024
17
E-cadherin promoter containing the E-box (14, 16). Despite the changes in expression of
EMT markers, we observed at both mRNA and protein levels; we failed to observe an overt
phenotypic mesenchymal transformation. This may have been influenced by EMT inhibitors
like Grainyhead-like-2 (GRHL2). GRHL2 gene amplification has been noted in several tumor
types and directly represses the ZEB1 promoter (42). Since ZEB1 is known to be required for
EMT in response to Twist1, it is probable that GRHL2 may have contributed to this outcome,
but further studies are needed to address this postulation.
The forkhead family of transcription factors are known to be involved in tissue specific
transcription (43, 44), and even though we observed an influence of FOXQ1 on Twist1 in 4
different colorectal cancer cell lines, this effect was not present in the canine epithelial
MDCK-II and 293T embryonic kidney cell lines (data not shown), further reiterating this
point.
From our experiments, the effects of FOXQ1 on tumor progression were most marked on cell
migration, but nonetheless significantly impacted invasion and metastasis. As opposed to the
findings of Kaneda and colleagues (15), and in concordance with that of Zhang and
colleagues, and Qiao and colleagues (14, 16), respectively, we did not observe any effect on
cell proliferation, and in vivo tumor growth, even though the findings of the latter two groups
were limited to breast cancer cell lines. Nonetheless, it is important to note that the
experiments on which Kaneda and colleagues made their observations were carried out in the
lung cancer p53-null H1299 cell line, which on the account of this deletion already has an
increased proliferative and tumorigenic propensity (45, 46), and could account for the lack of
concordance to our observations. Given that EMT represents the critical event in the
transition from early to invasive carcinomas (5) and that both over-expression of Twist1 and
the down-regulation of E-cadherin are associated with poor prognosis in colorectal cancer
(47, 48), our finding that FOXQ1 is involved in the regulation of colorectal cancer
on June 18, 2020. © 2013 American Association for Cancer Research. mcr.aacrjournals.org Downloaded from
Author manuscripts have been peer reviewed and accepted for publication but have not yet been edited. Author Manuscript Published OnlineFirst on May 30, 2013; DOI: 10.1158/1541-7786.MCR-13-0024
18
progression and metastasis is pertinent. However, it is also important to state that Twist1
itself is induced by other strong transcriptional regulators (27, 39, 49, 50), that the effects of
FOXQ1 on Twist1 while significant, were modest, and the observed effects of FOXQ1 on
invasion, migration and metastasis are very likely multifactorial. To ascertain if Twist1 was
entirely responsible for the modulation of these effects, we knocked down Twist1 in FOXQ1
stable over-expressing Colo206f cells and vector control cells. Interestingly, we observed a
significant reduction in both migration and invasion in the Twist1 knockdown cell lines, as
compared to the FOXQ1 stably expressing cells. Still, this knockdown did not completely
eliminate the increase in migration and invasion associated with FOXQ1 overexpression (as
compared to the vector group), suggesting that whereas Twist1 is significant for the increase
in aggressive cell behavior attributable to FOXQ1, other hitherto unidentified molecules also
contribute to these processes (Supplementary Figure 2).
Taken together, our results demonstrate that FOXQ1 is a novel modulator of Twist1
expression and a regulator of cancer invasion and metastasis. Certainly, further studies need
to be performed to characterize more of its targets, both direct and indirect, that bear
consequences on metastasis. The fact that it has been found to be significantly over-expressed
in colorectal cancer in two independent studies encourages us to support its further evaluation
as a potential tumor marker, particularly one that is indicative of metastasis
on June 18, 2020. © 2013 American Association for Cancer Research. mcr.aacrjournals.org Downloaded from
Author manuscripts have been peer reviewed and accepted for publication but have not yet been edited. Author Manuscript Published OnlineFirst on May 30, 2013; DOI: 10.1158/1541-7786.MCR-13-0024
19
Acknowledgement
The authors would like to thank Jürgen Engel and Jacqueline Frohhert for technical
assistance. HA was supported by Alfried Krupp von Bohlen and Halbach Foundation (Award
for Young Full Professors), Essen, Hella-Bühler-Foundation, Heidelberg, Dr. Ingrid zu Solms
Foundation, Frankfurt/Main, the Hector Foundation, Weinheim, Germany, the FRONTIER
Excellence Initiative of the University of Heidelberg, the BMBF, Bonn, Germany, the Walter
Schulz Foundation, Munich, Germany, the Deutsche Krebshilfe, Bonn, Germany, and the
DKFZ-MOST German-Israeli program, Heidelberg, Germany. This manuscript contains part
of the dissertation (Dr. sc.hum) of MA.
Conflict of interest
No conflict of interest declared.
on June 18, 2020. © 2013 American Association for Cancer Research. mcr.aacrjournals.org Downloaded from
Author manuscripts have been peer reviewed and accepted for publication but have not yet been edited. Author Manuscript Published OnlineFirst on May 30, 2013; DOI: 10.1158/1541-7786.MCR-13-0024
20
References
(1) Hanahan D, Weinberg RA. Hallmarks of cancer: the next generation. Cell
2011;144:646-74.
(2) Roussos ET, Keckesova Z, Haley JD, Epstein DM, Weinberg RA, Condeelis JS. AACR special conference on epithelial-mesenchymal transition and cancer
progression and treatment. Cancer Res 2010;70:7360-4.
(3) Peinado H, Olmeda D, Cano A. Snail, Zeb and bHLH factors in tumour progression:
an alliance against the epithelial phenotype? Nat Rev Cancer 2007;7:415-28.
(4) Thiery JP, Sleeman JP. Complex networks orchestrate epithelial-mesenchymal transitions. Nat Rev Mol Cell Biol 2006;7:131-42.
(5) Thiery JP, Acloque H, Huang RY, Nieto MA. Epithelial-mesenchymal transitions in development and disease. Cell 2009;139:871-90.
(6) Bieller A, Pasche B, Frank S, Glaser B, Kunz J, Witt K, et al. Isolation and characterization of the human forkhead gene FOXQ1. DNA Cell Biol 2001;20:555-61.
(7) Kaestner KH, Knochel W, Martinez DE. Unified nomenclature for the winged
helix/forkhead transcription factors. Genes Dev 2000;14:142-6.
(8) Katoh M, Katoh M. Human FOX gene family (Review). Int J Oncol 2004;25:1495-
500.
(9) Wotton KR, Shimeld SM. Analysis of lamprey clustered Fox genes: insight into Fox gene evolution and expression in vertebrates. Gene 2011;489:30-40.
(10) Goering W, Adham IM, Pasche B, Manner J, Ochs M, Engel W, et al. Impairment of gastric acid secretion and increase of embryonic lethality in Foxq1-deficient mice.
Cytogenet Genome Res 2008;121:88-95.
(11) Hong HK, Noveroske JK, Headon DJ, Liu T, Sy MS, Justice MJ, et al. The winged helix/forkhead transcription factor Foxq1 regulates differentiation of hair in satin
mice. Genesis 2001;29:163-71.
(12) Potter CS, Peterson RL, Barth JL, Pruett ND, Jacobs DF, Kern MJ, et al. Evidence that
the satin hair mutant gene Foxq1 is among multiple and functionally diverse regulatory targets for Hoxc13 during hair follicle differentiation. J Biol Chem 2006;281:29245-55.
(13) Feuerborn A, Srivastava PK, Kuffer S, Grandy WA, Sijmonsma TP, Gretz N, et al. The Forkhead factor FoxQ1 influences epithelial differentiation. J Cell Physiol
2011;226:710-9.
(14) Zhang H, Meng F, Liu G, Zhang B, Zhu J, Wu F, et al. Forkhead transcription factor foxq1 promotes epithelial-mesenchymal transition and breast cancer metastasis.
Cancer Res 2011;71:1292-301.
on June 18, 2020. © 2013 American Association for Cancer Research. mcr.aacrjournals.org Downloaded from
Author manuscripts have been peer reviewed and accepted for publication but have not yet been edited. Author Manuscript Published OnlineFirst on May 30, 2013; DOI: 10.1158/1541-7786.MCR-13-0024
21
(15) Kaneda H, Arao T, Tanaka K, Tamura D, Aomatsu K, Kudo K, et al. FOXQ1 is
overexpressed in colorectal cancer and enhances tumorigenicity and tumor growth. Cancer Res 2010;70:2053-63.
(16) Qiao Y, Jiang X, Lee ST, Karuturi RK, Hooi SC, Yu Q. FOXQ1 regulates epithelial-mesenchymal transition in human cancers. Cancer Res 2011;71:3076-86.
(17) Feng J, Zhang X, Zhu H, Wang X, Ni S, Huang J. FoxQ1 overexpression influences
poor prognosis in non-small cell lung cancer, associates with the phenomenon of EMT. PLoS One 2012;7:e39937.
(18) Abba M, Laufs S, Aghajany M, Korn B, Benner A, Allgayer H. Look who's talking: deregulated signaling in colorectal cancer. Cancer Genomics Proteomics 2012;9:15-25.
(19) Leupold JH, Yang HS, Colburn NH, Asangani I, Post S, Allgayer H. Tumor suppressor Pdcd4 inhibits invasion/intravasation and regulates urokinase receptor (u-
PAR) gene expression via Sp-transcription factors. Oncogene 2007;26:4550-62.
(20) Rasheed SA, Efferth T, Asangani IA, Allgayer H. First evidence that the antimalarial drug artesunate inhibits invasion and in vivo metastasis in lung cancer by targeting
essential extracellular proteases. Int J Cancer 2010;127:1475-85.
(21) Chambers AF, Ling V. Selection for experimental metastatic ability of heterologous
tumor cells in the chick embryo after DNA-mediated transfer. Cancer Res 1984;44:3970-5.
(22) Dexter DL, Lee ES, DeFusco DJ, Libbey NP, Spremulli EN, Calabresi P. Selection of
metastatic variants from heterogeneous tumor cell lines using the chicken chorioallantoic membrane and nude mouse. Cancer Res 1983;43:1733-40.
(23) Wilson SM, Chambers AF. Experimental metastasis assays in the chick embryo. Curr Protoc Cell Biol 2004;Chapter 19:Unit.
(24) Brenner JC, Ateeq B, Li Y, Yocum AK, Cao Q, Asangani IA, et al. Mechanistic
rationale for inhibition of poly(ADP-ribose) polymerase in ETS gene fusion-positive prostate cancer. Cancer Cell 2011;19:664-78.
(25) van der Horst EH, Leupold JH, Schubbert R, Ullrich A, Allgayer H. TaqMan-based quantification of invasive cells in the chick embryo metastasis assay. Biotechniques 2004;37:940-2, 944, 946.
(26) Overdier DG, Porcella A, Costa RH. The DNA-binding specificity of the hepatocyte nuclear factor 3/forkhead domain is influenced by amino-acid residues adjacent to the
recognition helix. Mol Cell Biol 1994;14:2755-66.
(27) Yang MH, Wu MZ, Chiou SH, Chen PM, Chang SY, Liu CJ, et al. Direct regulation of TWIST by HIF-1alpha promotes metastasis. Nat Cell Biol 2008;10:295-305.
(28) Shi L, Reid LH, Jones WD, Shippy R, Warrington JA, Baker SC, et al. The MicroArray Quality Control (MAQC) project shows inter- and intraplatform
reproducibility of gene expression measurements. Nat Biotechnol 2006;24:1151-61.
on June 18, 2020. © 2013 American Association for Cancer Research. mcr.aacrjournals.org Downloaded from
Author manuscripts have been peer reviewed and accepted for publication but have not yet been edited. Author Manuscript Published OnlineFirst on May 30, 2013; DOI: 10.1158/1541-7786.MCR-13-0024
22
(29) Onder TT, Gupta PB, Mani SA, Yang J, Lander ES, Weinberg RA. Loss of E-cadherin
promotes metastasis via multiple downstream transcriptional pathways. Cancer Res 2008;68:3645-54.
(30) Shah GV, Muralidharan A, Gokulgandhi M, Soan K, Thomas S. Cadherin switching and activation of beta-catenin signaling underlie proinvasive actions of calcitonin-calcitonin receptor axis in prostate cancer. J Biol Chem 2009;284:1018-30.
(31) Wheelock MJ, Shintani Y, Maeda M, Fukumoto Y, Johnson KR. Cadherin switching. J Cell Sci 2008;121:727-35.
(32) Yang J, Mani SA, Donaher JL, Ramaswamy S, Itzykson RA, Come C, et al. Twist, a master regulator of morphogenesis, plays an essential role in tumor metastasis. Cell 2004;117:927-39.
(33) Ansieau S, Morel AP, Hinkal G, Bastid J, Puisieux A. TWISTing an embryonic transcription factor into an oncoprotein. Oncogene 2010;29:3173-84.
(34) Eckert MA, Lwin TM, Chang AT, Kim J, Danis E, Ohno-Machado L, et al. Twist1-induced invadopodia formation promotes tumor metastasis. Cancer Cell 2011;19:372-86.
(35) Yang F, Sun L, Li Q, Han X, Lei L, Zhang H, et al. SET8 promotes epithelial-mesenchymal transition and confers TWIST dual transcriptional activities. EMBO J
2012;31:110-23.
(36) Dave N, Guaita-Esteruelas S, Gutarra S, Frias A, Beltran M, Peiro S, et al. Functional cooperation between Snail1 and twist in the regulation of ZEB1 expression during
epithelial to mesenchymal transition. J Biol Chem 2011;286:12024-32.
(37) Byles V, Zhu L, Lovaas JD, Chmilewski LK, Wang J, Faller DV, et al. SIRT1 induces
EMT by cooperating with EMT transcription factors and enhances prostate cancer cell migration and metastasis. Oncogene 2012;31:4619-29.
(38) Alves CC, Rosivatz E, Schott C, Hollweck R, Becker I, Sarbia M, et al. Slug is
overexpressed in gastric carcinomas and may act synergistically with SIP1 and Snail in the down-regulation of E-cadherin. J Pathol 2007;211:507-15.
(39) Lander R, Nordin K, LaBonne C. The F-box protein Ppa is a common regulator of core EMT factors Twist, Snail, Slug, and Sip1. J Cell Biol 2011;194:17-25.
(40) Moreno-Bueno G, Portillo F, Cano A. Transcriptional regulation of cell polarity in
EMT and cancer. Oncogene 2008;27:6958-69.
(41) Peinado H, Portillo F, Cano A. Transcriptional regulation of cadherins during
development and carcinogenesis. Int J Dev Biol 2004;48:365-75.
(42) Cieply B, Riley P, Pifer PM, Widmeyer J, Addison JB, Ivanov AV, et al. Suppression of the epithelial-mesenchymal transition by Grainyhead- like-2. Cancer Res
2012;72:2440-53.
(43) Choi VM, Harland RM, Khokha MK. Developmental expression of FoxJ1.2, FoxJ2,
and FoxQ1 in Xenopus tropicalis. Gene Expr Patterns 2006;6:443-7.
on June 18, 2020. © 2013 American Association for Cancer Research. mcr.aacrjournals.org Downloaded from
Author manuscripts have been peer reviewed and accepted for publication but have not yet been edited. Author Manuscript Published OnlineFirst on May 30, 2013; DOI: 10.1158/1541-7786.MCR-13-0024
23
(44) Hoggatt AM, Kriegel AM, Smith AF, Herring BP. Hepatocyte nuclear factor-3
homologue 1 (HFH-1) represses transcription of smooth muscle-specific genes. J Biol Chem 2000;275:31162-70.
(45) Donehower LA, Harvey M, Slagle BL, McArthur MJ, Montgomery CA, Jr., Butel JS, et al. Mice deficient for p53 are developmentally normal but susceptible to spontaneous tumours. Nature 1992;356:215-21.
(46) Harvey M, McArthur MJ, Montgomery CA, Jr., Butel JS, Bradley A, Donehower LA. Spontaneous and carcinogen- induced tumorigenesis in p53-deficient mice. Nat Genet
1993;5:225-9.
(47) Gomez I, Pena C, Herrera M, Munoz C, Larriba MJ, Garcia V, et al. TWIST1 is expressed in colorectal carcinomas and predicts patient survival. PLoS One
2011;6:e18023.
(48) Karamitopoulou E, Zlobec I, Patsouris E, Peros G, Lugli A. Loss of E-cadherin
independently predicts the lymph node status in colorectal cancer. Pathology 2011;43:133-7.
(49) Dupont J, Fernandez AM, Glackin CA, Helman L, LeRoith D. Insulin-like growth
factor 1 (IGF-1)-induced twist expression is involved in the anti-apoptotic effects of the IGF-1 receptor. J Biol Chem 2001;276:26699-707.
(50) Tan EJ, Thuault S, Caja L, Carletti T, Heldin CH, Moustakas A. Regulation of transcription factor Twist expression by the DNA architectural protein high mobility group A2 during epithelial-to-mesenchymal transition. J Biol Chem 2012;287:7134-
45.
on June 18, 2020. © 2013 American Association for Cancer Research. mcr.aacrjournals.org Downloaded from
Author manuscripts have been peer reviewed and accepted for publication but have not yet been edited. Author Manuscript Published OnlineFirst on May 30, 2013; DOI: 10.1158/1541-7786.MCR-13-0024
24
Figure Legends:
Figure 1: Analytical screen of genes affected by FOXQ1 expression: a) Endogenous mRNA
and protein expression in cell lines; b) Over-expression of FOXQ1 in Colo206f and Geo cell
lines with evaluation of relative mRNA expression changes of the candidate genes by
quantitative real time PCR; c) si-RNA mediated suppression of FOXQ1 expression with
evaluation of the same genes as in b); d) Evaluation of protein expression changes upon
FOXQ1 over-expression in GEO and knock down in WiDr cell lines respectively; e)
Evaluation of the knock-down of FOXQ1 over a 72hr time-line in SW480 cells showing that
the effects of suppression are first observed with Twist1 before CDH1, indicating that the
effects of FOXQ1 on CDH1 are likely secondary to that of Twist1. Relative mRNA
expression is represented on the y axis. (* = p< 0.05; ** = p< 0.01; ***= p< 0.001).
Figure 2: Identification of FOXQ1 binding motifs: a) Consensus binding motifs of FOXQ1 as
predicted by Transfac and Jasper databases for rat; no human matrices were identified; b) The
FOXQ1 coding sequence is evolutionary conserved; c) Putative binding sites in the core
Twist1 promoter.
Figure 3: Transcriptional regulation of Twist1 by FOXQ1 a) Reporter gene assays showing
increased luciferase activity with the Twist1 promoter upon expression of Foxq1; b) Twist 1
induction in a concentration-dependent manner; c) Reporter assays with-wild type and mutant
constructs, with schematic representation of the mutants; d) Quantitative real time PCR
evaluation for enrichment of a fragment of the Twist promoter following ChIP with anti-HA
and IgG antibodies and normalization to the respective input; e) Evaluation of the enrichment
using semi-quantitative PCR. (* = p< 0.05; ** = p< 0.01).
on June 18, 2020. © 2013 American Association for Cancer Research. mcr.aacrjournals.org Downloaded from
Author manuscripts have been peer reviewed and accepted for publication but have not yet been edited. Author Manuscript Published OnlineFirst on May 30, 2013; DOI: 10.1158/1541-7786.MCR-13-0024
25
Figure 4: In-vivo mRNA expression heatmap of EMT genes in a cohort of 45 resected patient
tissues. The relative tumor/normal expression values of each gene after normalisation to 3
house-keeping genes (SDHA, TBP and B2M) were imported into the MeV tool of the TM4
software suite (www.tm4.org). The colour bar at the top represents the range of expression
values and, each row represents the profile of an individual patient, and each column the
profile of a gene across patients. Grey boxes signify samples where the values were not
determined.; b) In-vivo correlation of protein expression in 12 patient samples with Western
blot showing predominant expression in tumor tissues; c) Y-Y correlation plot of FOXQ1
and Twist1 gene expression as was obtained from the MAQC control project (GEO ID:
GSE5350) encompassing 120 reference RNA samples. The red dots represent the expression
log2 transformed expression values of FOXQ1 and the blue dots, the corresponding values of
Twist1. The coloured boxes at the bottom of the panel indicate the reference samples that
were used; correlation coefficient r = 0.905.
Figure 5: Effects of FOXQ1 on cell proliferation: a) Cellular growth curve of Colo-206F and
GEO cell lines stably expressing EGFP or FOXQ1. A total of 1 × 104 cells of each cell line
were seeded in 96-well plates and evaluated at 0, 24, 48, 72, 96 and 120hr time points using
MTT assay; b) Cellular growth of SW480 and WiDR cell lines transfected with a scrambled
or FOXQ1 specific si-RNA. These cells were initially seeded in 6 well plates, transfected, and
24 hrs after transfection trypsinized and reseeded in 96 well plates. MTT was performed in
the same manner as for the over-expressing cell lines; c) Box plots representing the weight of
tumor masses excised from the upper chorioallantoic membrane of 17 day incubated eggs
following inoculation of FOXQ1 or vector expressing GEO and Colo206F cells, respectively.
For GEO cells; vector n=4, FOXQ1, n=5; for Colo206F cells, n=7 for both vector and
on June 18, 2020. © 2013 American Association for Cancer Research. mcr.aacrjournals.org Downloaded from
Author manuscripts have been peer reviewed and accepted for publication but have not yet been edited. Author Manuscript Published OnlineFirst on May 30, 2013; DOI: 10.1158/1541-7786.MCR-13-0024
26
FOXQ1 expressing cells. The observed difference in tumor weight between cell lines was
accounted for by the different sizes of the tumors that formed for the two cell lines (inset).
Figure 6: FOXQ1 promotes cell migration and invasion: a) Boyden chamber migration assays
in two over-expressing and two knock-down cells. 5, 000 cells were seeded in transwell
chambers in serum deprived medium and migration towards serum containing media was
measured by the Cell Titer-Glo assay. Values represent the percentage of migrated cells in
relation to the total number of cells; b) Invasion assays with 10ug/ml matrigel, and also
evaluated with Cell Titer Glo. Migration and invasion were assessed at 24hr time points. (* =
p< 0.05; ** = p< 0.01)
Figure 7: FOXQ1 promotes long distance metastasis in the in vivo CAM assay model; a) lung
and b) liver metastasis were evaluated quantitatively by RT PCR using primers and a probe
specific for the human YB8 Alu family. Genomic DNA isolated from the harvested organs 7
days after the inoculation of cells onto the upper CAM was used for the assay (n=7 and n=8
for vector and FOXQ1 groups, respectively). (* = p< 0.05; ** = p< 0.01)
on June 18, 2020. © 2013 American Association for Cancer Research. mcr.aacrjournals.org Downloaded from
Author manuscripts have been peer reviewed and accepted for publication but have not yet been edited. Author Manuscript Published OnlineFirst on May 30, 2013; DOI: 10.1158/1541-7786.MCR-13-0024
27
on June 18, 2020. © 2013 American Association for Cancer Research. mcr.aacrjournals.org Downloaded from
Author manuscripts have been peer reviewed and accepted for publication but have not yet been edited. Author Manuscript Published OnlineFirst on May 30, 2013; DOI: 10.1158/1541-7786.MCR-13-0024
28
on June 18, 2020. © 2013 American Association for Cancer Research. mcr.aacrjournals.org Downloaded from
Author manuscripts have been peer reviewed and accepted for publication but have not yet been edited. Author Manuscript Published OnlineFirst on May 30, 2013; DOI: 10.1158/1541-7786.MCR-13-0024
29
on June 18, 2020. © 2013 American Association for Cancer Research. mcr.aacrjournals.org Downloaded from
Author manuscripts have been peer reviewed and accepted for publication but have not yet been edited. Author Manuscript Published OnlineFirst on May 30, 2013; DOI: 10.1158/1541-7786.MCR-13-0024
30
on June 18, 2020. © 2013 American Association for Cancer Research. mcr.aacrjournals.org Downloaded from
Author manuscripts have been peer reviewed and accepted for publication but have not yet been edited. Author Manuscript Published OnlineFirst on May 30, 2013; DOI: 10.1158/1541-7786.MCR-13-0024
31
on June 18, 2020. © 2013 American Association for Cancer Research. mcr.aacrjournals.org Downloaded from
Author manuscripts have been peer reviewed and accepted for publication but have not yet been edited. Author Manuscript Published OnlineFirst on May 30, 2013; DOI: 10.1158/1541-7786.MCR-13-0024
32
on June 18, 2020. © 2013 American Association for Cancer Research. mcr.aacrjournals.org Downloaded from
Author manuscripts have been peer reviewed and accepted for publication but have not yet been edited. Author Manuscript Published OnlineFirst on May 30, 2013; DOI: 10.1158/1541-7786.MCR-13-0024
33
on June 18, 2020. © 2013 American Association for Cancer Research. mcr.aacrjournals.org Downloaded from
Author manuscripts have been peer reviewed and accepted for publication but have not yet been edited. Author Manuscript Published OnlineFirst on May 30, 2013; DOI: 10.1158/1541-7786.MCR-13-0024
Published OnlineFirst May 30, 2013.Mol Cancer Res Mohammed Abba, Nitin Patil, Kabeer Rasheed, et al. Unraveling the role of FOXQ1 in colorectal cancer metastasis
Updated version
10.1158/1541-7786.MCR-13-0024doi:
Access the most recent version of this article at:
Material
Supplementary
http://mcr.aacrjournals.org/content/suppl/2013/05/30/1541-7786.MCR-13-0024.DC1
Access the most recent supplemental material at:
Manuscript
Authorbeen edited. Author manuscripts have been peer reviewed and accepted for publication but have not yet
E-mail alerts related to this article or journal.Sign up to receive free email-alerts
Subscriptions
Reprints and
To order reprints of this article or to subscribe to the journal, contact the AACR Publications
Permissions
Rightslink site. Click on "Request Permissions" which will take you to the Copyright Clearance Center's (CCC)
.http://mcr.aacrjournals.org/content/early/2013/05/30/1541-7786.MCR-13-0024To request permission to re-use all or part of this article, use this link
on June 18, 2020. © 2013 American Association for Cancer Research. mcr.aacrjournals.org Downloaded from
Author manuscripts have been peer reviewed and accepted for publication but have not yet been edited. Author Manuscript Published OnlineFirst on May 30, 2013; DOI: 10.1158/1541-7786.MCR-13-0024