Identification of key genes for carcinogenic pathways associated with colorectal adenoma-to-carcinoma progression
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- Sillars-Hardebol, A.H., Carvalho, B., de Wit, M. et al. Tumor Biol. (2010) 31: 89. doi:10.1007/s13277-009-0012-1
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Colorectal adenomas form a biologically and clinically distinct intermediate stage in development of colorectal cancer (CRC) from normal colon epithelium. Only 5% of adenomas progress into adenocarcinomas, indicating that malignant transformation requires other biological alterations than those involved in adenoma formation. The present study aimed to explore which cancer-related biological processes are affected during colorectal adenoma-to-carcinoma progression and to identify key genes within these pathways that can serve as tumor markers for malignant transformation. The activity of 12 cancer-related biological processes was compared between 37 colorectal adenomas and 31 adenocarcinomas, using the pathway analysis tool Gene Set Enrichment Analysis. Expression of six gene sets was significantly increased in CRCs compared to adenomas, representing chromosomal instability, proliferation, differentiation, invasion, stroma activation, and angiogenesis. In addition, 18 key genes were identified for these processes based on their significantly increased expression levels. For AURKA and PDGFRB, increased mRNA expression levels were verified at the protein level by immunohistochemical analysis of a series of adenomas and CRCs. This study revealed cancer-related biological processes whose activities are increased during malignant transformation and identified key genes which may be used as tumor markers to improve molecular characterization of colorectal tumors.
KeywordsColorectal cancer Adenoma-to-carcinoma progression Pathway analysis Tumor markers
Colorectal cancer (CRC) is the second leading cause of cancer mortality in the western world. CRC develops from normal colon epithelium through an adenoma precursor stage. Premalignant colon adenomas arise by disruption of the Wnt-signaling pathway, mostly by DNA mutations in, or (epigenetic) silencing of the APC tumor suppressor gene . Additional mutations in genes like KRAS and P53, as well as specific chromosome copy number changes like 20q gain, further contribute to adenoma-to-carcinoma progression [2, 3]. It is estimated that only a small proportion of about 5% of adenomas will advance to the clinically more relevant stage of CRC, implying that the biology of adenoma formation from normal colon epithelium differs significantly from that of malignant transformation of colorectal adenomas into adenocarcinomas.
Biological processes that are frequently altered during carcinogenesis affect the behavior of tumor cells and tissues. Tumor cells exhibit increased proliferation and lack of apoptosis, overcome senescence, and may gain invasive and metastatic potential . Expanding tumors become hypoxic and induce angiogenesis, while sustained angiogenesis results in poor vasculature and contributes to activation of stroma by serum exposure (wound response) [4, 5]. Moreover, effective immune responses are circumvented or avoided, for instance by forcing tumor-associated macrophages to generate an immune suppressive microenvironment . Accumulation of (epi)genetic aberrations leads to changes in gene expression and affect the activity of cancer-related pathways. Microarray mRNA expression studies allow to compare gene expression at a genome-wide level and to explore the transcriptional programs that are turned on or off in tumors during progression from normal through premalignant stages to cancer. However, extracting such complex information from large datasets derived from heterogeneous biological samples has proven to be difficult. Pathway analysis programs such as Gene Set Enrichment Analysis (GSEA) can be of help here . GSEA makes use of the fact that changes in biological characteristics require coordinate variation in expression of groups of genes, i.e., gene sets, which regulate biological activity. While absolute changes in expression levels of the majority of individual genes are often modest to small and do not reach statistical significance, GSEA allows to estimate groupwise variation in expression of predefined gene sets, indicative for pathway activity levels.
The concept that cancer development is the result of defects in multiple biological processes, e.g., as described by Hanahan and Weinberg, is well accepted . The present study aims to examine the changes in the activity of these cancer-related biological processes during malignant transformation of colorectal adenomas into adenocarcinomas. We here report careful composition of predefined gene sets that represent various aspects of carcinogenesis and application of the GSEA pathway analysis program to compare their activity levels in benign and malignant colorectal lesions. Moreover, individual genes that differed most significantly within the respective pathways were identified.
Materials and methods
Microarray mRNA expression profiling of colorectal tumor tissue samples
Genomewide mRNA expression data were obtained by microarray analysis of 37 colorectal adenomas and 31 adenocarcinomas, as described previously . The microarray expression data can be accessed through the Gene Expression Omnibus under accession number GSE8067 (http://www.ncbi.nlm.nih.gov/geo/). Genes with missing values in more than 20% of tumor samples were excluded from further analysis. Remaining missing values were imputed using k-nearest neighbor averaging, as implemented in the R-package “impute” .
Selection of gene sets representing cancer-related processes
GSEA comparison of the activity of cancer-related gene-sets in colorectal adenomas and CRCs
Cancer-related process, GO- or Exp-derived gene set
Genes analyzed/size gene seta
GSEA FDR q value
Chromosomal instability (Exp)
Cell cycle (GO)
Immune response (GO)
Tumor-associated macrophages (Exp)
Stroma activation (Exp)
GSEA pathway analysis of gene expression
Pathway analysis of gene expression was performed using GSEA (v2.0, http://www.broad.mit.edu/gsea/) . GSEA performs a competitive analysis of predefined gene sets, which is suited for examination of relatively heterogeneous biological samples. In brief, GSEA first ranks all genes analyzed by expression arrays according to their differential expression between two categories of samples, in this case, colorectal adenomas and carcinomas. Next, for each predefined gene set analyzed, GSEA calculates a pathway enrichment score that indicates to what extent these gene sets are enriched for the highest—(or lowest)—ranking genes. Default settings were used, except for the maximum size of gene sets, which was set to 1,500 to include all predefined gene sets for analysis. Thresholds for significance of the enrichment score were determined by permutation analysis (1,000 permutations). False discovery rate (FDR) q values < 0.05 were considered significant.
Identification of key genes for pathway activity
Individual genes from cancer-related gene sets for which mRNA expression levels differed most between colorectal adenomas and CRCs, were considered key genes for pathway activity. For individual genes within cancer-related gene sets that contributed to the enrichment score, p values were calculated using the Student’s t test with unequal variance. P values < 1e-5 (uncorrected for multiple testing) were considered significant.
Immunohistochemistry analysis of AURKA and PDGFRB
Immunohistochemical staining of aurora kinase A (AURKA) and platelet-derived growth factor receptor beta (PDGFRB) was performed on 4-μm thick paraffin sections of a series of nine colorectal adenomas and 10 adenocarcinomas. Sections were deparaffinized in xylene and rehydrated through a series of graded alcohol to water. Endogenous peroxidase was blocked with hydrogen peroxide (0.3% H2O2 in methanol) for 30 min. Antigen retrieval was performed by autoclave heating in 10 mM citrate buffer (pH 6.0). Antibodies directed against AURKA (mouse monoclonal NCL-L-AK2, Novocastra Laboratories, Newcastle upon Tyne, UK) or PDGFRB (rabbit polyclonal 28E1, Cell Signaling Technology, Danvers, USA) were incubated overnight at 4°C (1:50 dilution). AURKA staining was visualized using the Dako EnVision Kit-K4006 (Dako Cytomation, Copenhagen, Denmark) and PDGFRB staining using the PowerVision+ Kit (ImmunoLogic, Duiven, NL) according to the manufacturer’s recommendations. Sections were counterstained with Mayer's hematoxylin. Incubation without primary antibody was used as negative control.
GSEA pathway analysis of colorectal adenomas and CRCs
Six cancer-related gene sets showed increased expression in CRCs compared to adenomas (FDR < 0.05), i.e., chromosomal instability, proliferation, differentiation, angiogenesis, stroma activation, and invasion (Table 1). Of these, the change in activity of the chromosomal instability gene set was most significant (FDR = 0.004).
Identification of key genes for pathway activity in adenoma-to-carcinoma progression
Key genes in cancer-related processes associated with colorectal adenoma-to-carcinoma progression
Cancer-related process, GO- or Exp-derived gene set
p Value (Student’s t test with unequal variance)
Chromosomal instability (Exp)
Stroma activation (Exp)
AURKA and PDGFRB protein expression in adenomas and CRCs
Colorectal adenoma formation and further progression into carcinomas is caused by accumulation of (epi)genetic alterations. As such, one might expect colorectal carcinogenesis to be a stochastic process in which, sooner or later, malignant progression is an inevitable event. However, biologically and clinically, colorectal adenomas form a distinct intermediate stage in CRC development from normal colon epithelium. It is estimated that only 5% of adenomas ever progress into adenocarcinomas, indicating that carcinoma formation from adenomas requires significantly different biological and, therefore, molecular alterations than those involved in adenoma formation from normal epithelium. Given the high prevalence of colorectal adenomas and the relatively low progression rate, one could argue that especially biological processes involved in adenoma-to-carcinoma progression are most relevant from a clinical point of view. We here report identification of six cancer-related biological processes whose activity is increased in CRCs compared to adenomas (Table 1) and a list of key genes whose increased mRNA expression levels are associated with malignant transformation (Table 2). For two of these genes, i.e., AURKA and PDGFRB, differential expression was verified at the protein level (Fig. 2).
The GSEA carcinogenic pathway analysis performed in the present study was restricted to a limited number of 16 carefully selected cancer-related gene sets for two reasons. First, although large databases that contain numerous predefined gene sets are available, such as the Molecular Signatures Database (www.broad.mit.edu/gsea/msigdb), none of these contain a well-defined subset of gene sets representing various biological aspects of carcinogenesis. Second, it is not recommended to perform GSEA using large groups of gene sets that are not relevant to the research question addressed, as this will increase the multiple testing problem and lead to unnecessary decrease of statistical power. Therefore, we set out to select gene sets representing cancer-related processes using two strategies, one based on Gene Ontology terms (seven gene sets) and one based on a PubMed literature search of in vitro and in vivo experimental data (nine gene sets). For four cancer-related processes (proliferation, differentiation, hypoxia, and angiogenesis) gene sets were obtained using both strategies, allowing to compare their value for GSEA carcinogenic pathway analysis. The experiment-derived “proliferation” and “differentiation” gene sets yielded a significant difference between adenomas and CRCs while their GO-derived equivalents did not. In contrast, the GO-derived “angiogenesis” gene set yielded a significant difference while the experiment-derived gene set did not. No significant differences were observed at all for the experiment- and GO-derived “hypoxia” gene sets. These data illustrate that both strategies revealed useful gene sets for GSEA carcinogenic pathway analysis. However, they also imply that optimal gene sets may not be available yet for all (colorectal) cancer-related processes.
The GSEA carcinogenic pathway analysis results indicated significantly different rates of chromosomal instability, proliferation, differentiation, angiogenesis, stroma activation, and invasion between colorectal adenomas and CRCs (Table 1). These results fit current knowledge about malignant transformation. Chromosomal instability increases the rate of genomic alterations, necessary to bypass the rate-limiting steps in carcinogenesis . Analysis of chromosome copy number changes by comparative genomic hybridization has demonstrated that CRCs exhibit much more chromosomal instability than adenomas [3, 8]. The present data show that the chromosomal instability gene set changes highly significantly in activity during adenoma-to-carcinoma progression. This further emphasizes the importance of chromosomal instability in colorectal adenoma-to-carcinoma progression. Chromosomal instability might even be the driving force in tumor progression by initiating the changes in other cancer-related biological processes. Although the balance between proliferation and differentiation is already abnormal in adenomas, proliferation rates further increase during the adenoma–carcinoma sequence . Angiogenesis is induced by growing tumors in an attempt to meet their increasing demand for oxygen and nutrients. Microvessel density, a widely used surrogate marker for angiogenesis, has been shown to be increased in CRCs compared to colorectal adenomas . In comparison to adenomas, CRCs also contain much more tumor stroma, which is often composed of reactive tissue that resembles wounds that do not heal . Interestingly, the amount of stroma differs widely among CRCs , and a high stroma percentage has been correlated with poor prognosis in CRC patients . Hence, increased expression of the invasion gene set by CRCs fits the concept of adenoma-to-carcinoma progression.
For several cancer-related processes, no significant differences were revealed between adenomas and CRCs, i.e., for gene sets representing apoptosis, cell cycle, hypoxia, immune response, tumor-associated macrophages, and metastasis. One interpretation is that these biological processes are more relevant during formation of colorectal adenomas from normal colon epithelium, than during adenoma-to-carcinoma progression. Alternatively, although these biological processes could play a role in malignant transformation, the selected gene sets may not adequately represent the in vivo situation analyzed here. For instance, GO-derived gene sets are composed of groups of genes known to be involved in similar biological processes, irrespective of whether they actually function in a coordinated manner or not. In contrast, experiment-derived gene sets are composed of groups of genes that are coordinately expressed during certain biological processes; however, assumptions have been made about conservation of these gene sets across species, across tumor types and about the validity of extrapolation from in vitro to in vivo settings. Nevertheless, although our approach may underestimate the effects of some cancer-related processes in adenoma-to-carcinoma progression, the positively identified gene sets yield valuable information for further investigation, such as the identification of key genes for malignant transformation. Expression of individual genes within gene sets that were positively identified by GSEA yielded a list of these key genes for various carcinogenic processes that may be used for molecular characterization of series of tumor samples (Table 2). Some of these genes have been described to contribute to (colorectal) carcinogenesis. From the “chromosomal instability” gene set, AURKA and TPX2 (targeting protein for XKLP2) have been reported to interact with each other and to play a role in centrosome maturation and spindle formation . Aberrant expression of TPX2 has been reported in breast, endometrial, and lung cancer and in neuroblastoma . Furthermore, TPX2 overexpression at the protein level was found to be associated with poor prognosis in lung cancer . AURKA, when overexpressed, induces centrosome amplification, aneuploidy, and cellular transformation in vitro . In nasopharyngeal carcinoma, AURKA overexpression was correlated with clinical stage and invasiveness, and inhibition with small molecules or RNA interference reduced cell invasion in vitro . From the “proliferation” gene set, polo-like kinase 1 (PLK1) is thought to play a role in spindle formation and in cell cycle progression during the G2 and M phase . Interference with PLK1 expression decreases proliferation, induces apoptosis, and affects spindle assembly in vitro . Moreover, down-modulation of PLK1 expression was found to inhibit growth of bladder cancer in mice . Expression of PLK1 and CCNF (cyclin F), which contributes to the G2 to M phase transition, have been related to response to radio and chemotherapy [30, 31]. From the “invasion” gene set, secreted protein acidic and rich in cysteine (SPARC) (also known as osteonectin) is overexpressed in CRCs and induces proinvasive activity . PDGFRB is upregulated within CRC tumor stroma, and blocking of PDGFRB signaling has been shown to inhibit colon tumor growth and metastasis .
Immunohistochemical analysis of a series of colorectal adenomas and adenocarcinomas was used to verify the expression of some of the key genes at the protein level, i.e., AURKA and PDGFRB (Fig. 2). CRCs exhibited more frequently more intense staining for both proteins than adenoma tissue. Therefore, both AURKA and PDGFRB may have the potential to be used as markers indicative for the activity level of “chromosomal instability” and “invasion,” respectively. For AURKA, protein staining was restricted to epithelial cells, indicating that AURKA influences CRC progression by its effect on tumor cells. PDGFRB staining was predominantly observed within tumor stroma, suggesting a stromal effect of PDGFRB on cancer progression. In this way, information on protein expression helps to put mRNA expression data into biological context.
In summary, GSEA was applied as a tool for pathway analysis of gene expression using a restricted number of gene sets representing cancer-related biological processes. Expression of six gene sets was increased in CRCs compared to adenomas, of which the chromosomal instability pathway was most prominent. Subsequently, key genes within these gene sets that exhibited significant differential expression were identified. Further research is required to explore whether these genes can be used as tumor markers for malignant transformation, and/or as drug targets for distinct carcinogenic pathways that contribute to colorectal adenoma-to-carcinoma progression.
This study was financially supported by the Cancer Center Amsterdam (AHS-H) and by an Aegon International Scholarship in Oncology (RJAF).
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