| HOME | HELP | FEEDBACK | SUBSCRIPTIONS | ARCHIVE | SEARCH | TABLE OF CONTENTS |
Published online before print April 10, 2008
| |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||





From the Department of Pathology,* Josephine Nefkens Institute, and Department of Pediatric Oncology,
Erasmus Medical Center, Rotterdam, The Netherlands; Center for Human & Clinical Genetics,
and Department of Pathology,
Leiden University Medical Center, Leiden, The Netherlands; St. Josefs-Hospital Bochum-Linden,¶ Bochum, Germany; and Institute of Medical Genetics,|| Cardiff University, Cardiff, United Kingdom
| Abstract |
|---|
|
|
|---|
In view of its initiating role in intestinal cancer, several preclinical models carrying germline mutations in the endogenous mouse Apc tumor supressor gene have been generated, and their phenotype has been characterized.15 The predisposition of these mouse models to multiple intestinal adenomas closely resembles the FAP phenotype at the molecular, cellular, and phenotypic level.15 One exception to the latter is represented by the proximal localization and distribution of adenomas along the gastrointestinal (GI) tract of Apc-mutant mouse models when compared with the colorectal clustering of polyps among FAP patients.15
Expression profiling by cDNA and oligonucleotide microarrays represents a powerful tool for genome-wide transcriptional analysis. Several studies in the literature have reported on the comparison of expression profiles from colorectal tumors and normal intestinal mucosa in an attempt to identify differentially expressed genes, predict, whenever feasible, clinical outcome, and elucidate the molecular and cellular mechanisms underlying colorectal tumorigenesis.16 However, the different lists of genes differentially expressed in CRC are often very extensive and only partially overlapping among independent studies, possibly reflecting differences in the methodologies and in cohorts used.16 To pinpoint conserved and functionally relevant genes differentially expressed between normal and malignant tissues, cross-species comparison have been successfully applied by comparing expression signatures of hepatocellular carcinoma, and prostate and lung cancer derived from human patients and mouse models.17-20
Here, we report the cross-species comparison of expression profiles of intestinal adenomas from FAP patients with established APC germline mutations and from Apc+/1638N, a mouse model for familial polyposis previously developed in our laboratory and characterized by the development of an average of five tumors in the upper GI tract, together with other extra-intestinal manifestations characteristic of FAP patients, such as epidermal cysts and desmoids.21,22 A total of 166 genes were found to be highly conserved between the two species and are likely to play important roles in the cellular and molecular mechanisms underlying adenoma formation in the gastrointestinal tract. Among these, several Wnt downstream target genes are included, as also expected from the selection of APC-mutant mouse and human adenomas. Notably, the conserved APC signature also made it possible to distinguish FAP tumors from MAP ones in an unsupervised fashion.
| Materials and Methods |
|---|
|
|
|---|
Colorectal adenomatous polyps were obtained from a total of 13 patients from the Department of Surgery, Heinrich Heine University (Dusseldorf, Germany); the Institute of Medical Genetics, Cardiff University (Cardiff, UK); the Department of Pathology, Leiden University Medical Center (Leiden, The Netherlands); and the Department of Surgery, Erasmus Medical Center (Rotterdam, The Netherlands). Of the 13 polyposis patients, 8 carried truncating APC mutations, whereas 5 were found to carry biallelic MYH mutations. Detailed characterization of the polyposis patients carrying biallelic MYH or monoallelic APC germline mutations and of the corresponding tumor samples used in the present study has been reported elsewhere.23 Normal epithelial mucosa from 3 healthy individuals was also collected (control samples NC1 to NC3). All tissue samples were snap-frozen, embedded in OCT medium, and stored at –80°C. Detailed sample processing procedures were as previously described.24 All of the analyzed adenomatous lesions were matched for histology (low-grade dysplasia) and anatomical location (left-sided colon or rectum). Two to six polyps were analyzed for each individual patient.
Mouse Strains and Material
All wild-type and Apc+/1638N mice used in this study were inbred C57BL6/J, maintained under SPF conditions and fed ad libitum. Duodenal adenomas and normal mucosa samples were collected from 9-month-old males, briefly washed in PBS, and snap-frozen in OCT medium. Hematoxylin and eosin (H&E) staining of all tissues was performed to determine histology and tumor content.
Laser Capture Microdissection and RNA Isolation
Sample preparation and laser capture microdissection (LCM) were performed as previously described using a PALM MicroBeam microscope system (P.A.L.M. Microlaser Technologies, Bernereid, Germany).23 In short, 10-µm cryosections were mounted on microscope slides with a polyethylene naphthalate membrane and stained by H&E to allow histological identification of the desired normal and tumor cells. Approximately 1000 to 2000 cells, corresponding to 600,000 (human samples)- and 1,200,000 (mouse specimens)-µm2 areas, were microdissected.
RNA was isolated from the LCM samples by Mini RNeasy columns (QIAGEN, Valencia, CA), according to the manufacturers instructions, including a DNase step on the column. Quality of the isolated RNA was checked with RNA 6000 Pico LabChip kit (Agilent Technologies, Palo Alto, CA).
Expression Profiling and Data Analysis
Human Adenoma Samples
Each RNA sample that passed the quality controls was linearly amplified with two rounds of amplification using the MessageAmp kit (Ambion, Huntingdon, UK), according to the manufacturers protocol. Quality and quantity of each amplified RNA sample was again evaluated by Nano Lab-on-Chip (Agilent Technologies). One-µg aliquots of target and reference amplified RNA were labeled with Cy5-dUTP and Cy3-dUTP, respectively (Amersham Biosciences, Amersham, UK) by reverse transcription using the CyScribe First Strand cDNA Labeling kit (Amersham Biosciences). Each labeling reaction was further purified with the CyScribe GFX purification kit (Amersham Biosciences). Subsequently, both labeled cDNAs were hybridized on a human 18K cDNA microarray encompassing 19,200 spots (representing 18,432 independent cDNAs) produced and obtained from The Netherlands Cancer Institute Microarray Facility (Amsterdam, The Netherlands). The cDNAs spotted in this array platform were PCR-amplified from a clone set purchased from Research Genetics (Huntsville, AL). Hybridization and washing procedures were performed according to the manufacturers (The Netherlands Cancer Institute Microarray Facility) protocol. Sixteen-bit fluorescent images from the expression arrays were acquired with an Agilent DNA Microarray Scanner (Agilent Technologies), and the resulting TIFF images were analyzed with the software GenePix Pro 4.0 (Axon Instruments, Union City, CA). For each array, a GenePix results file (.gpr) with the extracted Cy3 and Cy5 spot and background raw intensities was generated.
Expression data analysis was performed with a set of functions implemented in R (http://www.R-project.org/25 ). Briefly, .gpr files from the array platforms were directly loaded into the R environment using the marray package to extract the background-corrected Cy3 and Cy5 median raw intensity per spot. Intensity data from both platforms were normalized with the variance stabilization and normalization function implemented in the vsn package.26
To find genes that could better characterize the histological and mutational status of the analyzed samples, we have used "mixed-effects" regression models. Briefly, we fitted the following model: Y(i) =
+ β*histology +
*mutation +
*patient + error(i), where Y represents the log-ratio of the expression value for clone i; histology and mutation are categorical variables represented as stages (normal or adenoma) and (APC or MYH), respectively, whereas
represents the baseline expression level of clone i. A patient effect must be included in the model to correctly handle multiple samples derived from the same patient. Although both histology and mutation are assumed to have fixed effects, the patient effect is assumed to be random, as the patients included in this study represent the heterogeneous (outbred) population of familial CRC patients. This model was fitted to the data using the MAANOVA package.27
Moderated F-test statistics, which take advantage of the large number of genes being analyzed simultaneously to yield more reliable variance estimates, were extracted corresponding to histology and mutation effects. Their P values were subsequently corrected for multiple testing using Benjamini and Hochbergs false discovery rate (FDR) method.28
Mouse Adenoma Samples
RNA samples were submitted to a double round of amplification according to the Small Sample Labeling Protocol vII (Affymetrix, Inc, Santa Clara, CA). Quality of synthesized cRNA was checked using the RNA 6000 Nano LabChip kit (Agilent Technologies). Labeled cRNA products were hybridized to mouse arrays MOE430A (Affymetrix, Inc) according to the manufacturers instructions. Data analysis was performed using R Statistical Computing software v2.4.125 complemented with BioConductor Packages affy,29 limma,30,31 and vsn.26 Cel files were uploaded and summarized using the affy package and normalized with vsn at the probe level. Using an empirical-Bayesian linear model (implemented in the package limma), we identified genes that were differentially expressed, with multiple testing correction performed using Benjamini and Hochbergs FDR step-up method.28 Hierarchical clustering (Euclidean similarity measure) was performed on vsn-normalized data for all probe identifications (IDs) using Spotfire DecisionSite 9.0. (http:www.spotfire.com).
To test and/or confirm that a set of genes yielded a differential expression signature between groups of samples, the globaltest32 of vsn-normalized data was performed using R Statistical Computing software v2.4.125 complemented with the BioConductor Package globaltest.32
Functional Annotation Analysis
GenBank accession numbers or Affymetrix probe set IDs were assigned to biological process using the GO (Gene Ontology) chart feature offered by the Database for Annotation Visualization and Integrated Discovery (DAVID) 2006 (http://david.abcc.ncifcrf.gov/home.jsp). Individual genes from selected expression signatures were also placed in the context of their molecular and functional interactions by using Ingenuity Pathways Analysis (IPA) tools according to the manufacturers instructions (Ingenuity Systems, Redwood City, CA).
Data Integration
The cross-species comparison was performed using the Sequence Retrieval System (SRS).33 Both sets were first annotated using Unigene; next, the SRS system was used to pair the two species Unigene entries based on Homologene. The MOE430A array includes a total of 22,626 probes, whereas the human cDNA array encompasses 19,200 probes. Of the 22,626 mouse probes in the mouse Affymetrix platform, the SRS system retrieved a total of 12,083 homologous genes encompassed by the human array. Due to probe multiplicity in both platforms, the total overlap between the platforms consists of 18,369 entries.
From the two original data sets (mouse adenomas versus normal mucosa and human adenomas versus normal mucosa), probe sets with the same direction of differential expression were selected, adding to a total of 9495 probes. Further selection was applied based on the statistical significance according to the following thresholds: mouse data FDR <5% and human data FDR <0.5% (n = 234 probes). To exclude the possibility that the observed overlap resulted by sheer chance, we have performed a
2 test with the selected probes and reached a highly significant P value (P = 0.007).
Immunohistochemistry
Immunohistochemistry of mouse and human normal and adenomatous intestinal sections was performed according to standard protocols. The following antibodies were used and optimized for human and mouse tissues: MacMarcks (Calbiochem cat.442708; EMD Biosciences, San Diego, CA), CyclinA (cat.GTX27956; Genetex, San Antonio, TX), AnnexinI (cat.71-3400; Zymed, South San Francisco, CA). Signal detection of these antibodies was obtained by the Rabbit Envision+ System-HRP (cat.K4011; DakoCytomation, Carpinteria, CA). CD44 (cat.553131; BD Pharmingen, San Diego, CA) was detected using a secondary antibody goat anti-rat, HRP labeled.
| Results |
|---|
|
|
|---|
Expression Profiling Analysis of Familial Adenomatous Polyps
Colorectal adenomatous polyps (n = 42) have been obtained from a total of eight unrelated FAP patients carrying previously identified germline APC mutations.23 To obtain expression signatures exclusively derived from parenchymal cells and avoid the confounding effects of infiltrating and adjacent stromal cells, dysplastic tumor cells were collected by laser capture microdissection (LCM). Control LCM samples were obtained from the intestinal mucosa of three individuals with no CRC history. RNA was extracted from the microdissected tumor and normal specimens and subsequently used for expression profiling by hybridization to human 18K cDNA arrays generated at The Netherlands Cancer Institute Microarray Facility (see Materials and Methods). The expression profiling data have been deposited at the National Center for Biotechnology Information Gene Expression Omnibus (http://www.ncbi.nlm.nih.gov/geo) and is accessible through GEO Series accession number GSE9689.
Two-dimensional hierarchical clustering was first applied to all 19,200 array probes to generate an overview, without any prior filtering, of the global gene expression differences among all samples (Figure 1a)
. Notably, the three normal colon mucosa specimens (NC1-3) do not cluster separately from the adenoma samples. Also, several samples from the same individual are often observed to cluster together, indicative of a patient effect. In view of the latter, a statistical approach using a mixed-effects regression model34
was applied to all samples to determine whether specific patterns of gene expression could be associated with the adenomatous polyps. The linear mixed-effects model was fitted considering histology (adenoma versus normal mucosa) as having a fixed effect and patient as having a random effect. This procedure not only allowed us to calculate P values for all genes, but also to control the variance component associated with random patient-specific genetic variation, ie, the variability in gene expression related to the genetic background of each individual patient. With an FDR set to 0.5%, a total of 1859 probes appeared to be differentially expressed between normal colonic epithelium and adenomas (see Supplemental Tables S1 and S2 at http://ajp.amjpathol.org). The relatively high number of differentially expressed genes even under highly stringent conditions clearly illustrates the strong effect of histology on global gene expression. This is also further illustrated by the empirical cumulative P values distribution function, which is clearly distinct from what would be expected if no effect was detectable (Figure 1b)
. Of the 1859 probes, 839 (45%) and 1020 (55%) were, respectively, up- and down-regulated in tumor cells when compared with normal mucosa (see Supplemental Tables S1 and S2 at http://ajp.amjpathol.org).
|
Expression Profiling Analysis of Apc+/1638N Mouse Intestinal Adenomas
Duodenal adenomas and normal mucosal samples from age- and sex-matched C57BL6/J Apc+/1638N mice (n = 3) and Apc+/+ controls (n = 2) were collected and snap-frozen as for the above human polyps. Histological analysis of these lesions confirmed their benign adenomatous nature (not shown). Also in these cases, dysplastic epithelial cells were collected by LCM. Control expression signatures were obtained from wild-type C57BL6/J epithelial cells microdissected from the same anatomical location. Total RNA was extracted from normal and tumor samples and hybridized to Affymetrix MOE430A arrays. The corresponding data have been deposited in National Center for Biotechnology Informations Gene Expression Omnibus and are accessible through GEO Series accession number GSE9580. Unsupervised two-dimensional hierarchical clustering was able to discriminate and correctly cluster tumor from normal samples (Figure 1c)
. Empirical-Bayesian linear regression analysis allowed the identification of statistically significant differences between normal and tumor samples.30,31
Notwithstanding the admittedly limited sample size, a strong gene expression signature of the tumor samples is detected as illustrated by the empirical cumulative distribution function of the P values, which is clearly distinct from what would be expected if no effect was detectable (Figure 1d)
. Such a strong histology-specific gene expression signature, despite the small sample size, may result from the use of inbred animals in which genetic background is identical among unrelated tumor-bearing mice. An FDR threshold of 5% resulted in the identification of as many as 4137 probes differentially regulated between normal and tumor tissue, and 2163 (52%) and 1974 (48%) up- and down-regulated, respectively (see Supplemental Tables S3 and S4 at http://ajp.amjpathol.org). As for the human gene list, annotation analysis of the mouse genes by DAVID revealed a very broad and partially overlapping spectrum of cellular functions (data not shown).
Cross-Species Comparison
As shown above, expression profiling analysis of human and mouse intestinal adenomas and their normal tissue counterparts resulted in very extensive lists of differentially expressed genes even when stringent parameters were used. We postulated that the cross-species comparison of the genes differentially expressed between the two independent data sets would limit bystander and adaptation effects and help in narrowing down the list to conserved transcripts more likely to play relevant roles in the tumorigenic process. As the two profiling data sets were generated with different microarray platforms (cDNA and oligonucleotide arrays for the human and mouse tumors, respectively), the comparative analysis was performed exclusively on the probes present in both platforms (see Materials and Methods).
Conserved probes were selected by applying the following inclusion criteria: FDR <5% for the mouse set (n = 4137 probes) and FDR <0.5% for the human set (n = 1859 probes). Further filtering was performed to eliminate probes with discordant transcriptional directions (eg, up- vs. down-regulated probes) between the two species. Following this procedure, a total of 234 probes representative of 166 genes were selected, 100 and 66 of which were up- and down-regulated, respectively (Tables 1 and 2)
. In those cases in which a gene is represented by more than one probe in the array platform, the probe ID associated with the lowest FDR value was selected.
|
|
|
To validate the results of our comparative cross-species expression analysis, we have performed immunohistochemistry (IHC) on mouse and human intestinal tissues with antibodies directed against proteins encoded by differentially expressed genes from the list reported in Table 1
. Enhanced expression of the cell surface glycoprotein CD44 is an early event in the adenoma-carcinoma sequence both in mouse and human,36,37
and is thought to result from direct CD44 transcriptional up-regulation by Wnt/β-catenin signaling.37
Accordingly, CD44 was found to be conserved in our cross-species analysis and was used as an internal positive control for the IHC analysis (Figure 3, m–p)
.
|
Cyclin A2 (CCNA2) is a ubiquitously expressed regulator of cell cycle progression known to promote G1/S and G2/M transitions.43
In normal mouse (upper GI) and human (colon) intestinal mucosa, CCNA2 IHC analysis shows nuclear expression mainly restricted to the crypts (Figure 3, e–h)
. CCNA2 up-regulation in both mouse and human intestinal adenomas (Table 1)
is reflected by an increase in the relative number of cells with nuclear CCNA2 staining spread throughout the tumors. The latter is indicative of enhanced cell proliferation of APC-mutant tumor cells, as was also confirmed by the GO analysis of the conserved gene list (Table 3)
.
To date, the function of Marks-like protein 1 (MARCKSL1) is not fully elucidated, although evidence in the literature indicates that it might be involved in the regulation of intracellular Ca2+ levels under the control of protein kinase C.44
Up-regulation of this protein has been previously reported in prostate cancer,45
and is here found in both FAP and Apc+/1638N adenomas (Table 1)
. Similar to what was observed for CCCNA2, MARCKSL1 expression is limited to a specific subset of cells within the normal human (colon) and mouse (upper GI) intestinal crypts. Likewise, a pronounced increase in cytoplasmic expression is observed in the vast majority of tumor cells (Figure 3, i–l)
. Overall, the above IHC results validate the cross-species expression profiling data for genes belonging to distinct GO and functional categories.
The Conserved Cross-Species Signature As a Tool to Differentiate Hereditary Polyposis Syndromes
Apart from its implications for the understanding of the molecular and cellular mechanisms underlying APC-driven colorectal tumorigenesis, the conserved cross-species signature may represent a useful tool to discriminate among adenomas from hereditary patients with different genetic syndromes, namely APC- and MYH-associated polyposis. To this aim, an additional 14 adenomas have been obtained from five unrelated patients with pathologically confirmed polyposis of the colon and carrying biallelic MYH germline mutations.23
As for the APC-mutant polyps, RNA was extracted from the microdissected MAP adenomas and subsequently used for expression profiling. First, unsupervised hierarchical clustering was applied to all 56 profiles (from both the APC- and MYH-mutant patients) without any prior filtering to generate an overview of the global gene expression differences among all samples. Overall, we could not observe any clear association with mutation status (data not shown). The mixed-effects regression model34
was again applied, this time fitted to consider mutation (APC and MYH germline mutation carriers) as having a fixed effect and patient as having a random effect. With an FDR set to 0.5%, we were able to select 49 genes differentially expressed between FAP and MAP adenomas (Table 4)
. To investigate further whether the 49-gene signature as a whole can predict the underlying APC or MYH gene defect, we applied the previously described globaltest for the analysis of microarray data.32
This test assesses whether the global expression pattern of a group of genes is significantly related to any given parameter. It should be noted that, when applying the globaltest, the patient effect cannot be regarded as random and therefore be controlled by its inclusion in the model as a confounder, as it would also represent the genotype effect (all samples from a patient belong to the same genotype). We circumvented this problem by first selecting at random one sample at a time from each patient and then applying the globaltest. After repeating this process for 1000 random combinations of patients samples, 57% of the computed P values were found to be below the 0.05 threshold, whereas the maximum value is close to 0.5 (Figure 4a)
. Next, we repeated this procedure with the conserved 166-gene signature. In sharp contrast with the previous result, 99.4% of the computed P values are below the 0.05 threshold with a maximum of 0.06 (Figure 4b)
. Accordingly, two-dimensional hierarchical clustering analysis of the expression profiles obtained from all of the FAP and MAP polyps with the 49- and 166-gene signatures confirms that the latter is considerably more discriminative than the former in resolving tumors from carriers of APC germline mutations from those derived from MAP patients (Figure 4, c and d)
.
|
|
| Discussion |
|---|
|
|
|---|
Notwithstanding the above-mentioned heterogeneity, colorectal cancer represents, at least from a genetic perspective, a relatively homogeneous disease as the vast majority of the sporadic cases is known to be triggered by somatic mutations at the APC or CTNNB1 (β-catenin) genes, leading to the constitutive activation of the canonical Wnt signaling pathway.10
These mutations are known to initiate the formation of aberrant crypt foci and adenomatous polyps, the earliest benign precursors of the adenoma-carcinoma sequence. Also, germline APC mutations underlie FAP, an autosomal dominant predisposition to the development of multiple adenomatous polyps throughout the colon-rectum.48
The availability of a unique collection of adenomatous polyps obtained from FAP patients carrying germline APC mutations and from a mouse model, Apc+/1638N, carrying a targeted mutation in the endogenous Apc gene allowed us to perform the cross-species computational comparison of their gene expression profiles and derive a conserved 166-gene signature. It should be noted that whereas FAP patients mainly develop polyps in the colon-rectum, Apc mouse models are characterized by adenomas clustering in the upper gastrointestinal tract, mainly in the duodenum. This anatomical difference between the mouse and human adenomas used for the cross-species comparison may exert a confounding effect in our computational analysis as duodenum and colon-rectum represent distinct organs. However, it may also confer an additional advantage to our approach as tissue-specific differences between the two GI tracts are likely to be filtered out, thus retaining only those conserved differentially expressed genes more likely to play functional roles in intestinal tumor formation, regardless of anatomical sub-location. The same holds true for our methodological approach: different microarray platforms were used to derive the human (cDNA arrays) and mouse (oligonucleotide arrays) gene profiles. In both cases, laser-guided microdissection was used to enrich in tumor cells without the confounding effects of contaminating stromal cells. Overall, our IHC analysis of a subset of proteins encoded by the conserved genes confirmed their differential expression between normal tissue and adenomas in both species (Figure 3)
, thus validating our methodological strategy.
The significance thresholds used to generate the differentially expressed lists of genes for the human (approximately 10% of the represented genes, with FDR = 0.5%) and mouse (approximately 18% of the represented genes, with FDR = 5%) studies are admittedly arbitrary. They were chosen using two generic criteria: i) the gene lists would be representative of the differential signature without encompassing an excessive percentage of false positives, and ii) the resulting conserved list of differentially expressed genes would be sufficiently large to enable pathway analysis. The presence in our cross-species signature of several genes known to be differentially expressed in sporadic colorectal cancers16 also represents an indirect confirmation of the general validity of our computational approach.
GO-based functional analysis of the 166 conserved genes reveals a general increase in cell division as shown by the up-regulation of genes related to DNA replication and repair, cell cycle regulation, and the maintenance of genomic integrity (Table 3)
. Notably, exclusively up-regulated genes were encompassed within these categories, indicative of the increased proliferation rate of tumor cells when compared with normal ones. Genes belonging to the transcriptional and translational machinery were also up-regulated when compared with normal tissues. These included genes involved in ribosome biogenesis, mRNA synthesis and maturation, and protein synthesis and folding (Table 3)
.
As expected from our selection of adenomas from APC-mutant patients and mouse models, several members of the Wnt signal transduction pathway are included among the conserved 166 differentially expressed genes (Figure 2)
. These included the Frizzled receptor homolog FZD6, the protein phosphatase type 2A (PP2A), the HMG box transcription factor SOX4,49
and several Wnt downstream transcriptional targets, namely, the matrix metallopeptidase matrilysin (MMP7),36,37,50
CD44,36
ENC1 (ectodermal-neural cortex 1)51
, ephrin receptor B3 (EPHB3),52
cyclin D1 (CCND1),53,54
and the apoptosis inhibitor survivin (BIRC5)55,56
(Figure 2)
. However, AXIN2, a well known downstream Wnt target gene, is not included in this list simply because its probe is not encompassed by the human cDNA array. Other known Wnt target genes such as EPHB2, SOX9, and MYC were excluded because of the high stringency of the statistical thresholds used or to their absence in one of the platforms. Recently, an "intestinal Wnt/TCF4 signature" was obtained by integrating expression profiling data from CRC cell lines engineered with an inducible block of Wnt signaling and from sporadic human adenomas and carcinomas.11
Comparison of this 208-gene Wnt/TCF gene signature with our cross-species conserved list revealed 10 common entries, 4 of which belong to the Wnt/β-catenin signaling pathway (CD44, ENC1, EPHB3, and SOX4). The latter is not surprising in view of the different computational approaches and tumor cohorts used. Moreover, the use of CRC cell lines with dominant negative TCF4 constructs does not necessarily mimic the initial and rate-limiting loss of APC function characteristic of the mouse and human adenomas used in our cross-species analysis. Of more interest is the comparison with the study by Kaiser et al57
in which a cross-species comparison was performed among human and mouse intestinal tumors together with mouse embryonic stages of intestinal development. As depicted in Supplemental Table S5 (see http://ajp.amjpathol.org), the overlap between the two studies is high, with 46 of 166 differentially expressed genes shared between the data sets. Notably, the overlap is considerably higher with genes showing similar behavior in intestinal tumorigenesis and embryonic development.
Apoptosis inhibition in the adenomas, as suggested by BIRC5 up-regulation, is also strengthened by the conserved down-regulation of the BAD gene, encoding for a potent pro-apoptotic protein. BAD forms heterodimers with BCL2 and BCL-XL, thus repressing their anti-apoptotic function.58,59
Two members of the TGF-β signaling pathways are up-regulated among the cross-species conserved genes, namely SMAD6 and TGFBR2. The TGF-β ligand mediates its effects through the transmembrane type I (TGFBR1) and type II receptor subunits (TGFBR2), and in the cytoplasm through stimulatory and inhibitory SMADs. The up-regulation of the TGFBR2 gene encoding for the type II receptor is remarkable in view of its frequent mutational inactivation in a substantial proportion of sporadic colon cancers.60 The SMAD6 gene encodes for an inhibitory SMAD protein that becomes up-regulated as the result of a negative feedback loop. SMAD6 is thought to represent a key component in the integration of signals from different pathways and was shown to exert BMP inhibitory activity.61 Down-regulation of the bone morphogenetic BMP2 gene apparently confirms the inhibition of this TGF-β-related pathway. Although its role in tumorigenesis is yet unclear, SMAD6 up-regulation has been reported in other tumor types.62 Overall, the conserved gene signature is indicative of the activation of TGF-β and inhibition of BMP signaling at early stages of intestinal tumorigenesis. However, this observation needs to be validated by additional expression and reporter assays.
Among the many genes encompassed by the cross-species conserved signature, the up-regulation of ANXA1 is of interest in view of its phospholipase A2 (PPA2) inhibitory activity, an enzyme involved in the synthesis of prostaglandins during inflammation.42
Antibodies against annexin A1 have been found in patients with inflammatory bowel disorders.38
Also, its up-regulation was shown to occur in mitogenically stimulated cells in a PKC phosphorylation-dependent fashion, accompanied by its translocation from the cytoplasm to the nucleus.41
Notably, changes in ANXA1 subcellular localization were also observed in our IHC validation analysis (Figure 3)
.
Apart from its implications for the understanding and elucidation of the molecular and cellular mechanisms underlying APC-driven intestinal tumor formation, the cross-species conserved gene signature may also represent a useful tool to discriminate among hereditary polyposis patients with distinct genetic defects. Expression profiling analysis of the additional set of 14 colorectal adenomas obtained from patients carrying bi-allelic mutations at the MYH gene showed a high degree of similarity with the APC profiles. This could be explained by previous observations, according to which the APC gene is a preferential target for somatic mutations in colorectal adenomas from carriers of bi-allelic MYH germline mutations.63 The observed high degree of similarity between expression profiles from FAP and MAP polyps could then be explained provided that the somatic APC mutation does represent the initiating event in MYH-associated polyp formation. Alternatively, human adenoma profiles may be similar notwithstanding the initiating genetic defect, as indicated by our own most recent results with the expression analysis of three polyposis patients of unknown genetic basis (and no germline mutations found after sequencing of the MYH and APC genes). Also in these cases, the resulting profiles were virtually indistinguishable from those derived from MYH- and APC-mutant polyps (data not shown).
Nevertheless, by applying an FDR threshold of 0.5%, we could generate a 49-gene signature based on differences between MYH- and APC-mutant human polyps. Yet, both globaltest and two-dimensional hierarchical clustering analyses showed that the conserved 166-signature clusters more accurately the expression profile data from FAP and MAP patients than does the 49-gene signature (Figure 4)
.
In conclusion, cross-species comparison of expression profiles of intestinal adenomas obtained from hereditary polyposis patients and mouse models carrying germline APC mutations resulted in a signature of 166 differentially expressed genes. Functional annotation of the conserved genes indicates an overall increase in cell division and the up-regulation of the Wnt/β-catenin signaling pathway. These main cellular and molecular changes are accompanied by a plethora of gene-specific changes yet to be tested by functional assays to determine their relative contribution to intestinal tumor formation. Additional validation on independent polyp cohorts and further fine-tuning of the conserved gene signature are needed toward the development of an expression-based assay to classify hereditary polyposis syndromes.
|
|
|
| Acknowledgements |
|---|
| Footnotes |
|---|
These studies were supported by grants from the Dutch Cancer Society (EMCR 2001-2482), The Netherlands Organisation for Scientific Research (NWO/Vici 016.036.636), the BSIK program of the Dutch Government grant 03038, the EU FP6 (MCSCs), "Deutsche Krebshilfe, Verbundprojekt familiarer Darmkrebs", and the Centre for Medical Systems Biology (CMSB).
C.G. and J.C. equally contributed to the study.
Supplemental material for this article can be found on http://ajp.amjpathol.org.
Accepted for publication January 17, 2008.
| References |
|---|
|
|
|---|
T:A mutations in colorectal tumors. Nat Genet 2002, 30:227-232[CrossRef][Medline]This article has been cited by other articles:
![]() |
S. Segditsas, O. Sieber, M. Deheragoda, P. East, A. Rowan, R. Jeffery, E. Nye, S. Clark, B. Spencer-Dene, G. Stamp, et al. Putative direct and indirect Wnt targets identified through consistent gene expression changes in APC-mutant intestinal adenomas from humans and mice Hum. Mol. Genet., December 15, 2008; 17(24): 3864 - 3875. [Abstract] [Full Text] [PDF] |
||||
![]() |
M. H. Kucherlapati, K. Yang, K. Fan, M. Kuraguchi, D. Sonkin, A. Rosulek, M. Lipkin, R. T. Bronson, B. J. Aronow, and R. Kucherlapati Loss of Rb1 in the gastrointestinal tract of Apc1638N mice promotes tumors of the cecum and proximal colon PNAS, October 7, 2008; 105(40): 15493 - 15498. [Abstract] [Full Text] [PDF] |
||||
| |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| HOME | HELP | FEEDBACK | SUBSCRIPTIONS | ARCHIVE | SEARCH | TABLE OF CONTENTS |