Abstract
Inter-α-trypsin inhibitor heavy chain 5 (ITIH5) is supposed to be involved in extracellular matrix stability and thus may play a key role in the inhibition of tumor progression. The current study is the first to analyze in depth ITIH5 expression as well as its potential clinical and functional impact in colon cancer. Based on 30 tumor and 30 adjacent normal tissues we examined ITIH5 mRNA expression and promoter methylation, whose significance was further validated by independent data sets from The Cancer Genome Atlas (TCGA) platform. In addition, ITIH5 protein expression was evaluated using immunohistochemistry. ITIH5 mRNA expression loss was significantly associated (P < 0.001) with hypermethylation of the ITIH5 promoter in primary colon tumors. In addition, treatment of tumor cell lines with demethylating (DAC) and histone acetylating (TSA) agents induced ITIH5 expression. In line, independent TCGA data revealed a significant expression loss of ITIH5, particularly in the MSI-high and CIMP-positive phenotype concordant with an increased ITIH5 hypermethylation in CIMP-positive colon tumors (P < 0.001). In proximal, i.e., right-sided tumors, abundant ITIH5 expression was associated with longer overall survival (OS, P = 0.049) and the CIMP-positive (P = 0.032) subgroup. Functionally, ITIH5 re-expression mediated a reduced proliferation in HCT116 and CaCo2 cells. In conclusion, our results indicate that ITIH5 is a novel putative tumor suppressor gene in colon cancer with a potential impact in the CIMP-related pathway. ITIH5 may serve as a novel epigenetic-based diagnostic biomarker with further clinical impact for risk stratification of CIMP-positive colon cancer patients.
Keywords: ITIH5, tumor suppressor gene, DNA methylation, CpG island methylator phenotype, microsatellite instability, proximal colon
Introduction
Worldwide, over 1.2 million people are diagnosed with colorectal cancer (CRC) annually, and approximately one-half of CRC patients die from the disease.1 Due to this high mortality rate, a thorough understanding of tumor biological and molecular processes in colon cancer is mandatory to enable individual prognosis and novel targeted therapies.
To date, current prognostic factors2 with clear significance, helping to define high risk for progression or recurrence in CRC patients, refer mainly to the chromosomal instability pathway (CIN)3 and the microsatellite instability pathway (MSI).4 The latter is observed in approximately 15% of sporadic CRC5-7 and in the majority of patients with hereditary non-polyposis colorectal cancer (HNPCC).6,7 MSI reflects the presence of a defective mismatch repair (MMR) mechanism characterized by alterations of repetitive microsatellite nucleotide sequences throughout the genome.8,9 Beyond germline mutations of the mismatch repair gene MHL1, acquired hypermethylation of the MLH1 promoter is a known epigenetic mechanism that occurs mainly in sporadic colon cancer within the CpG island methylator phenotype (CIMP).10,11 CIMP results in transcriptional silencing of specific tumor suppressor and DNA repair genes, including MLH1,12,13 while the molecular mechanisms underlying CIMP is still elusive. However, CIMP-positive colon cancers appear to have a distinct molecular and clinical profile including proximal tumor location, high frequency of mutation of the proto-oncogene BRAF, low frequency of mutation of the proto-oncogene KRAS, and poor differentiation.12-16 Furthermore, CIMP-positive colon tumors have been reported to be associated with poor clinical outcomes.17,18
Deciphering of novel biomarkers affecting molecular pathways involved in the progression of CRC is a critical challenge for the extension of patients’ survival. In this context, the previously identified inter-α-trypsin inhibitor heavy chain 5 (ITIH5) could play a valuable biological role.19 Downregulation of ITIH5 in mammary as well as bladder tumors, due to a frequent hypermethylation of the ITIH5 promoter, was shown to be associated with a higher proliferation rate and malignant progression indicating a putative tumor suppressor function in breast and bladder cancer.20-22 Furthermore, the ITI heavy chains effectively stabilize the ECM23 and have been shown to be involved in processes such as tumor invasion24 and metastasis,25 while the biological relevance of ITIH5 in CRC remains unknown.
By now, there has been no approach to investigate the molecular and clinical relevance of the putative tumor suppressor gene ITIH5 in human colon cancer. In the present study, we show that the expression pattern of ITIH5 is clearly deregulated in colorectal adenocarcinoma, providing evidence for a potential role as a tumor suppressor gene in CRC. A worse overall survival in proximal colon tumors, due to an epigenetic silencing of the ITIH5 gene promoter especially in the subgroup of CIMP-positive patients, reinforces a possible clinical impact of ITIH5 in colon cancer.
Results
ITIH5 expression is downregulated during colon cancer development
In a recent study, we showed ITIH5 promoter hypermethylation as the molecular cause for ITIH5 gene silencing in breast 26 and bladder cancer,22 which was associated with poor prognosis particularly in lymph node negative patients.21 We could also demonstrate that ITIH5 is hypermethylated in circulating free DNA (cfDNA) of colon cancer patients with a frequency of 21% (12 of 58 serum cfDNA specimen was methylated).27 To assess the biological relevance of ITIH5 in colon cancer we initially analyzed mRNA expression in 30 tumor tissue samples and 30 adjacent normal tissues from the same patient by real-time PCR. We verified a significant (P < 0.0001) loss of ITIH5 gene expression in colon tumors (median expression level: 0.0816) when compared with normal colon tissues (median expression level: 1.332) (Fig. 1A). To evaluate the significance of our data, we analyzed ITIH5 gene expression in a large data set of an independent study.28 Using data of The Cancer Genome Atlas (TCGA) we verified a prevalent loss of ITIH5 gene expression in colon tumors when compared with normal colon tissues (Fig. 1B). Classifying the data set by clinicopathological characteristics (i.e., age at diagnosis, tumor stage, TNM classification, gender, anatomic subdivision, microsatellite status and CIMP status) we found a significant loss of ITIH5 mRNA expression in MSI-high (median expression level: 188) compared with MSS tumors (median expression level: 378) (P < 0.0001) as well as in CIMP-high (median expression level: 208) in contrast to non-CIMP (median expression level: 359) (P = 0.0018) colon cancer tissue samples (Fig. 1C and D). There were no significant correlations of mRNA expression with the other mentioned clinicopathological characteristics (Table S1).
Figure 1. ITIH5 gene expression is lost in colon tumor tissue. (A)ITIH5 mRNA expression is strongly decreased in tumor tissue compared with matched normal tissue. Box plot analysis illustrates reduced ITIH5 mRNA expression in tumor tissue with a median expression level of 0.0816 compared with normal tissue (median expression level: 1.332). (B) Tumor samples (based on TCGA IlluminaHiSeq mRNA expression platform) are stratified by the microsatellite subtype: MSS (n = 210), MSI-L (n = 53) and MSI-H (n = 48) (left panel) and CIMP subtype: non-CIMP (n = 106), CIMP-L (170) and CIMP-H (n = 32) (middle panel). The right panel shows sample type (dark gray: primary tumor (n = 326); light gray: recurrent tumor (n = 2); white: solid normal tissues (n = 100)). (C) and (D) Box plot analysis of ITIH5 expression in MSS, MSI-L and MSI-H as well as non-CIMP, CIMP-L and CIMP-H primary colon tumors. Horizontal lines: grouped medians. Boxes: 25–75% quartiles. Vertical lines: range, peak and minimum. ***P < 0.0001, ** P < 0.001, n.s.: not significant.
To give a first insight into the close association of ITIH5 mRNA expression with MSI colon tumors we re-analyzed a published transcriptomic micro-array analysis consisting of 34 MSS and 19 MSI-H colon cancer specimens29 with respect to a Gene Ontology (GO) based categorization. Array based class comparison analysis revealed a significant (P = 0.001) downregulation of ITIH5 expression in MSI-H compared with MSS cancer specimen (FC: 1.8). Besides, we identified more than 1500 genes that are predominately downregulated in the MSI tumor subtype (Table S2). Therewith, ITIH5 loss seems to be part of a common gene signature typical for the MSI phenotype. A part of this signature including ITH5 is shown as heatmap in Fig. S1. Furthermore, over-represented gene annotations revealed a strong association with Cellular Component (CC) categories such as “histone methyltransferase complex” and “histone deacetylase complex” (Table S3) emphasizing the well-known epigenetic gene silencing in MSI tumors, particularly overlapping with the CpG island methylator phenotype (CIMP) pathway.30,31
However, based on immunohistochemistry analysis using a well-established polyclonal ITIH5 antibody,22 we verified abundant ITIH5 protein expression in normal epithelial colon tissues (Figs. 2A–C). ITIH5 staining was predominantly found in the cytoplasm of goblet cell of healthy crypts (see arrows in Figure 2A and B). A sporadic ITIH5 expression was further detected in stromal cells of the connective tissue (see arrow in Figure 2C). Contrary to this observation, tumor cells showed decreased ITIH5 protein staining (Figs. 2D and E) or almost complete loss of ITIH5 protein (Figs. 2F and G).

Figure 2. Loss of ITIH5 protein expression in human colon cancer. (A–C) Strong ITIH5 expression in epithelial cells of normal colon tissue, especially in goblet cells (arrows in A+B). Clear staining in stroma-associated cells (arrow in c). (D, E) Moderate and low ITIH5 immunoreactivity in cells of colon carcinoma. (F, G) Very low staining in progressed colon cancer cells. (H) Strong ITIH5 protein expression in FFPE section of placenta tissue that served as positive control for ITIH5 staining. (I) Negative control of normal colon tissue. The application of primary antibody was omitted. Scale bar: 50 µm.
ITIH5 loss is caused by promoter hypermethylation in colon cancer
Next, to prove if promoter methylation could be responsible for ITIH5 expression loss, like it is already suggested due to the transcriptomic micro-array analysis, we analyzed the set of 60 tissue samples by quantitative MSP. In line with the decreased mRNA level in tumor samples, methylation of the ITIH5 promoter was significantly (P < 0.0001) increased in tumor tissue (median PMR value: 4.195%), compared with normal colon tissue (median PMR value: 0.269%) (Fig. 3A). Considering the highest PMR value (PMR: 6,467%) in normal colon tissue as cut-off value, methylation frequency in tumor tissue was 43% (i.e., 13 of 30 samples were methylated).
Figure 3. Expression of the ITIH5 gene correlated with epigenetic inactivation. (A) Scatter plot illustrates significant ITIH5 promoter hypermethylation between cancer and adjacent normal tissue specimen. Horizontal lines: grouped medians. ***P < 0.001. (B) Box plot analysis demonstrates significant low ITIH5 methylation level in normal colon tissue compared with ITIH5 RNA expression, while methylation of the ITIH5 promoter is significantly increased in tumor tissue accordant to a low ITIH5 RNA expression. Horizontal lines: grouped medians. Boxes: 25–75% quartiles. Vertical lines: range, peak and minimum, **P < 0.01, ***P < 0.001. (C) Scatter plot shows the association between mRNA expression and DNA methylation status of the ITIH5 gene in 60 colon tissue samples. Spearman correlation coefficient: -0.468, P = 0.0002. (D) DNA hypermethylation (Illumina HumanMethylation 450 platform) of the ITIH5 promoter analyzed in colon cancer samples from the TCGA data portal. The left panel illustrates relative values of ITIH5 DNA hypermethylation for each CG: red (high methylation), white (mean methylation) and blue (low methylation). The relative positions of 12 analyzed CpG duplets (-1818 bp to +121 bp; 5′ to 3′) are indicated within a schematic map of the human ITIH5 promoter region. +1: ITIH5 transcription start site. The left panel shows the CIMP subtype (non-CIMP (n = 106), CIMP-L (170) and CIMP-H (n = 32)). The right panel shows sample type (dark gray: primary tumor (n = 326); light gray: recurrent tumor (n = 2); white: solid normal tissues (n = 100)). (E) Scatter plot illustrates the association between expression (IlluminaHiSeq mRNA expression platform) and DNA methylation status (Illumina HM450 platform) of ITIH5 in 326 primary colon cancer samples based on available TCGA data. Spearman correlation coefficient: r = -0.325, P < 0.0001. (F) Box plot analysis demonstrates significant higher ITIH5 methylation level in CIMP-L and CIMP-H tumors tissues of the TCGA data portal compared with non-CIMP cancer specimen. Horizontal lines: grouped medians. Boxes: 25–75% quartiles. Vertical lines: range, peak and minimum, **P < 0.01, ***P < 0.001.
To address the question of whether ITIH5 promoter methylation contributes to ITIH5 expression loss in primary colon cancer, we compared methylation and mRNA expression data of both data sets. While ITIH5 expression was relatively abundant in normal colon tissue in accordance with a low level of ITIH5 promoter methylation, tumor tissues exhibited clearly increased methylation levels and low ITIH5 mRNA expression (Fig. 3B). To further examine the relation between ITIH5 expression loss and methylation we performed a spearman correlation analysis between mRNA expression and methylation (Fig. 3C). This analysis revealed a highly significant inverse association between ITIH5 mRNA expression and promoter DNA methylation (spearman r: –0.468, P = 0.0002) analyzing 60 tissue samples. Interestingly, ITIH5 promoter methylation correlated significant (P = 0.028) with proximal colon tumors (Table S4).
Based on the TCGA data, CpG sites that are closely located to the transcription start site of the ITIH5 promoter were also commonly found methylated in primary colon cancer samples (Fig. 3D). In line with our data, a negative correlation of ITIH5 promoter methylation and ITIH5 mRNA expression was seen in the TCGA cohort as well (Spearman r: –0.325, P < 0.0001) (Fig. 3E). Furthermore, an increased hypermethylation of the ITIH5 promoter was revealed in CIMP-positive compared with non-CIMP colon tumors (P < 0.0001) (Fig. 3F), which is in line with the decreased ITIH5 mRNA expression in CIMP-high colon tumors (see Figure 1D).
A functional association between ITIH5 promoter methylation and ITIH5 gene silencing was further supported by in vitro demethylation experiment using three colon cancer cell lines (HCT116, SW480, and CaCo2) lacking endogenous ITIH5 expression. Real-time PCR analyses showed a clear re-expression of ITIH5 after 5-aza-2’-deoxycytidine (DAC) and trichostatin A (TSA) treatment in all cell lines compared with untreated cells (Figs. 4).

Figure 4.ITIH5 re-expression after in vitro demethylation. Semiquantitative real-time PCR showing ITIH5 mRNA expression without and after treatment with 1 mM 5-aza-2’-deoxycytidine (DAC) and 300 nM Trichostatin A (TSA). ITIH5 mRNA expression is induced after demethylating and histone acetylating treatment. Gain of ITIH5 mRNA expression is indicated as fold-change relative to each baseline expression. Expression of GAPDH served as a control for equal starting amounts of cDNA. Relative Y-axis scaling is related to non-treated HCT116, SW480 and CaCo2 cells (set to one). SEM was derived from triplicate experiments.
ITIH5 mRNA expression predicts a longer overall survival in proximal colon cancer with a pronounced clinical impact in CIMP-positive tumors
To reveal whether ITIH5 expression has an impact on patients’ survival a descriptive data analysis was performed with overall survival (OS) and recurrence free survival (RFS) data of the TCGA platform. RFS and OS were compared between invasive colorectal adenocarcinoma showing abundant ITIH5 expression (median expression ≥ 329) and all other invasive tumors by univariate statistics. Concerning all colorectal cancer samples Kaplan-Meier analysis revealed no prognostic impact of a strong ITIH5 expression with longer RFS or OS. However, with respect to the association of a low ITIH5 mRNA expression in MSI- and CIMP-high tumors concordantly with an increased methylation frequency in CIMP-positive tumors, both known to occur predominantly in the proximal colon,30,32,33 we divided the TCGA data cohort in the subgroups of proximal, i.e., right-sided (Cecum, Ascending Colon, Hepatic Flexure, and Transverse Colon) and distal, i.e., left-sided (Splenic Flexure, Descending Colon, Sigmoid Colon, Rectosigmoid Junction, Rectum) tumor specimen. Interestingly, a prognostic value of ITIH5 concerning OS could be demonstrated in the proximal subgroup, while there was no prognostic relevance of ITIH5 in distal colon cancers (Table 1). Patients with an abundant ITIH5 expression in the right-sided tumors had an estimated mean OS of 7.65 y (95% confidence interval [CI]: 5.45 – 9.86) compared with 6.42 y (95% CI: 4.71–8.13) in patients with low ITIH5 expression (P = 0.049) (Fig. 5A). Next, we calculated a multivariate Cox regression model, including all factors potentially influencing the OS time in right-sided colon cancer, but statistical independency (P = 0.060) was barely missed (Table S5). In a stratified univariate analysis, the prognostic value of ITIH5 became even more pronounced in the subgroup of CIMP-positive proximal colon tumors (Figs. 5B) for OS. Particularly, a 2.3 y longer OS for CIMP-positive patients (P = 0.032) was demonstrated with high ITIH5 expression compared with low ITIH5 expression. Cox regression analysis supports an independent prognostic value for a lower risk of death for CIMP-positive tumors with high ITIH5 mRNA expression (HR: 0.363, 95% CI: 0.147–0.893, P = 0.027) (Table 2). Furthermore, of clinical relevance, strong ITIH5 expression in early stage tumors, i.e., lymph node-negative tumors, indicated a favorable outcome in proximal colon cancer patients (Fig. S2): Nodal-negative patients with low ITIH5 expression had a worse OS (mean OS: 6.13 y ± 1.14; 95% CI: 3.89–8.37) compared with patients showing high ITIH5 expression (mean OS: 8.76 y ± 1.32; 95% CI: 6.16–11.37). The calculated Cox regression model indicated ITIH5 mRNA expression in this important patient group to be a putative independent marker for OS (Table S6).
Table 1. Univariate analysis of clinicopathological factors regarding overall survival (OS) in proximal colon cancer.
| Variable | OS | ||
|---|---|---|---|
| na | Events | P valueb | |
| Clinicopathological factors: | |||
| Tumor size | |||
| pT0–2 | 28 | 2 | 0.206 |
| pT3–4 | 119 | 27 | |
| Lymph node status | |||
| pN neg | 89 | 12 | 0.003 |
| pN1–3 | 58 | 17 | |
| Tumor stage | |||
| stage 1–2 | 125 | 20 | <0.001 |
| stage 3–4 | 15 | 8 | |
| CIMP status | |||
| Non-CIMP | 23 | 5 | 0.806 |
| CIMP | 117 | 23 | |
| Microsatellite status | |||
| MSS | 82 | 16 | 0.440 |
| MSI | 60 | 12 | |
| ITIH5 (median expression) | |||
| ≤329 | 74 | 20 | 0.049 |
| >329 | 74 | 9 | |
MSS, Microsatellite stable; MSI-L, Microsatellite instable low; MSI-H, Microsatellite instable high, CIMP-L, CpG island methylator phenotype low, CIMP-H, CpG island methylator phenotype high, ITIH, inter-a-trypsin inhibitor heavy chain. Significant P values marked in bold face. aOnly patients with primary, proximal colon cancer were included. bBreslow test at the two-sided significance level of 0.05
Figure 5. Univariate survival analysis of ITIH5 mRNA expression according to the Kaplan–Meier (KM) method revealed a longer overall survival in patients with proximal colon cancer especially in CIMP-positive tumors. (A) The KM-analysis of all proximal cases is shown. (B) KM-Analysis illustrating a strong prognostic value of ITIH5 in the clinically relevant group of patients with proximal CIMP-positive colon cancer, which is not demonstrable in non-CIMP patients. Green line: strong ITIH5 expression (median ≥ 329); blue line: weaker ITIH5 expression (median < 329). Vertical lines: censored cases.
Table 2: Multivariate Cox regression analysis including all factors potentially influencing OS in CIMP-positive right-sided colon cancer.
| Variable | HR | P value | 95%CI | |||
|---|---|---|---|---|---|---|
| lower | upper | |||||
| ITIH5 expression | ||||||
| ITIH5 low | 1.000 | |||||
| ITIH5 high | 0.363 | 0.027 | 0.147 | 0.893 | ||
| Lymph node status | ||||||
| pN neg | 1.000 | |||||
| pN 1–3 | 1.258 | 0.646 | 0.472 | 3.351 | ||
| Tumor stage | ||||||
| stage 1–2 | 1.000 | |||||
| stage 3–4 | 5.160 | 0.003 | 1.766 | > 10 | ||
Significant P values are marked in bold face. HR, hazard ratio; CI, confidence interval.
ITIH5 reveals an improved diagnostic and prognostic value compared with known biomarkers for classifying CIMP-positive tumors
Next, to emphasize the clinical impact of ITIH5 in CIMP-positive tumors, we analyzed the well-known Weisenberger et al. CIMP classification panel (CACNA1G, IGF2, NEUROG1, RUNX3, and SOCS1)13 in the TCGA data platform, with respect to the prognostic value of these biomarkers. IGF2 and NEUROG1 data were not available in the TCGA cohort. Instead, we examined two of the most traditional CIMP markers, namely CDKN2A and MLH1, supplementary.
As expected, a strong median promoter hypermethylation of CDKN2A and MLH1 correlated positively with CIMP-high tumors (P < 0.01). Pearson correlation was slightly higher for CDKN2A (r = 0.298, P < 0.01) and MLH1 (r = 0.249, P < 0.01) compared with ITIH5 methylation (r = 0.194, P < 0.01). In contrast, promoter methylation of CACNA1G, RUNX3, and SOCS1 showed no statistical association with CIMP-positive tumors. Furthermore, ROC-analysis of promoter methylation indicated inappropriate AUC-values in CIMP-high tumors for CACNA1G (AUC: 0.605, 95% CI: 0.493–0.718), RUNX3 (AUC: 0.505, 95% CI: 0.407–0.603) and SOCS1 (AUC: 0.442, 95% CI: 0.322–0.562) in comparison to significant AUC-values for ITIH5 (AUC: 0.723, 95% CI: 0.647–0.795), CDKNA2 (AUC: 0.913, 95% CI: 0.858–0.967) and MLH1 (AUC: 0.900, 95% CI: 0.828–0.973) (P < 0.0001) (Fig. S3A). Based on the ROC data, we would suggest proposing a novel CIMP-defining marker panel consisting of only three genes, namely ITIH5, CDKN2A, and MLH1. This panel identifies CIMP-high tumors with 87.5% sensitivity and 91.7% specificity as compared with 87.5% sensitivity and poorly specificity of 10% by the Weisenberger biomarkers CACNA1G, RUNX3, and SOCS1 (Fig. S3B), hence highlighting ITIH5 methylation as putative diagnostic biomarker for CIMP-classifying whose expression level might also usable for risk stratification of this patient group.
To shed light on the prognostic impact of CACNA1G, RUNX3, SOCS1, CDKN2A, and MLH1, a descriptive data analysis was performed. In contrast to ITIH5 expression, data analysis revealed no prognostic relevance concerning CACNA1G, RUNX3, SOCS1, CDKN2A, and MLH1 promoter methylation and expression for OS neither in all cases nor in the stratified subgroups of proximal and CIMP-positive tumors.
ITIH5 expression leads to decreased proliferation in HCT116 as well as CaCo2 colon cancer cells
An increased cell proliferation is a fundamental hallmark of cancer cells.34 To study the impact of a forced ITIH5 expression on proliferation behavior in vitro, we transiently transfected two different colon cancer cell lines with the eukaryotic expression vector pBK-CMV. Concerning the different expression patterns of ITIH5 in MSS and MSI tumors, we selected the MSI-H cell line HCT116 and in contrast the MSS cell line CaCo2. For a better verification of our data, we performed two independent transfections for each cell line. ITIH5 expression in the ITIH5-transfected cells and lack of expression in the mock-transfected cells had been verified by real-time PCR and western blotting (Fig. 6A).
Figure 6. ITIH5 re-expression leads to a decreased proliferation in the ITIH5-deficient cells lines HCT116 and CaCo2. Two independent transfection experiments were performed for each cell line under the same conditions. (A)ITIH5 mRNA re-expression in ITIH5 positive cells (+ITIH5) compared with mock cells (-ITIH5) in CaCo2 cells (left) and in HCT116 cells (right). Gain of ITIH5 mRNA expression is indicated as fold-change relative to each baseline expression of mock clones (set to one). Expression of GAPDH served as a control for equal starting amounts of cDNA. SEM was derived from triplicate experiments. Protein extracts were analyzed by western blot using indicated antibodies. To demonstrate equal protein loading, the membranes were re-probed with an antibody specific for β-actin. (B) Box plot analysis illustrates proliferation rate of CaCo2 (left) and HCT116 (right) cells after 96h measure. The baseline level at 24h for each clone was set to one. Proliferation of ITIH5 positive CaCo2 cells (+ITIH5) was 13% reduced compared with mock cells (–ITIH5). Proliferation of ITIH5 positive HCT116 cells (+ITIH5) was 16.4% reduced compared with mock cells (–ITIH5). Horizontal lines: grouped medians. Boxes: 25–75% quartiles. Vertical lines: range, peak and minimum, *P < 0.05, ***P < 0.001.
Based on these transient in vitro models, a proliferation assay was performed using XTT assays (Fig. 6B). In CaCo2 cells, we observed that in a bulk of transiently transfected cells, i.e., a large part of non-transfected CaCo2 cells is present, ITIH5 re-expression led to a significant cell growth suppression by 13% (P = 0.019), compared with the mock-transfected cells 96h after plating (Fig. 6B, left graph). In line, tumor cell growth retardation of the ITIH5-transfected HCT116, compared with HCT116 mock cells, reached a 16.4% decreased proliferation rate (P < 0.001) in cells showing abundant ITIH5 protein expression (Fig. 6B, right graph).
Discussion
Today, several lines of evidence suggest a potential role of ITIH5, a novel member of the ITIH family, in tumor biology, particularly in tumor development and progression.21,35 We previously showed that loss of ITIH5 expression in breast21,27 and bladder22 cancer, caused by aberrant promoter hypermethylation, is associated with unfavorable prognosis.19,21,22 Furthermore, we demonstrated a moderate hypermethylation of the ITIH5 promoter in circulating free DNA in the blood of colon cancer patients,27 whereas the biological relevance of ITIH5 in colon cancer remains elusive. The current study is the first to analyze in depth ITIH5 expression, as well as its potential clinical and functional impact toward colon cancer.
Initially, we verified by both real-time PCR and immunohistochemistry that ITIH5 was downregulated in human colon tumor tissue, suggesting that ITIH5 expression is lost in the course of tumor progression. To prove the accuracy of our results, we further analyzed independent ITIH5 mRNA expression data of the TCGA platform28 in colon cancer samples. In line, TCGA data analyses revealed a decreased ITIH5 mRNA expression in colon cancer tissue compared with normal tissue. Interestingly, ITIH5 expression was significantly lower in MSI-high and CIMP-high tumor specimen compared with MSS and non-CIMP tissue samples, respectively. To analyze the molecular cause of downregulation, we investigated the epigenetic configuration of the ITIH5 gene promoter in primary colorectal carcinoma, as it is known that the ITIH5 promoter sequence contains distinct CpG islands. In fact, ITIH5 gene promoter was methylated in 43% of the analyzed colorectal tumor tissues, in line with a restoration of ITIH5 expression through in vitro demethylation of the cell lines HCT116, CaCo2 and SW480. Again, TCGA data analyses confirmed our results by indicating a frequent hypermethylation in primary tumor tissue and, accordingly, demonstrated an inverse correlation (r = –0.392) of ITIH5 methylation and mRNA expression indicating promoter hypermethylation as the molecular cause of the ITIH5 loss in colon cancer.
A strong relationship between the MSI phenotype and promoter hypermethylation in colon cancer was demonstrated in numerous studies.10,16,17,36 Some of these studies suggest that CpG island methylation precede the development of MSI tumors, e.g., beyond germline mutations the mismatch repair gene MHL1 is known to become silenced by epigenetic modifications.12,15 So far, MHL1 methylation has been defined as a marker of a further pathway in colon cancer, namely the CpG island methylator phenotype (CIMP),37 suggesting a strong overlap of MSI and CIMP pathways in colorectal carcinogenesis. Indeed, based on in silico transcriptomic micro-array analysis, we found clear indications of deregulated epigenetic pathways in sporadic MSI-high tumors. Of interest, a decreased ITIH5 expression level was related to a common gene signature in MSI colon cancer, providing strong evidence that ITIH5 loss is associated with the microsatellite unstable phenotype. However, ITIH5 may be a potential novel tumor suppressor gene in colon cancer displaying an impact on tumor development in case of its epigenetic mediated silencing.
Importantly, concerning the distinct proximal anatomic subdivision of MSI-high and CIMP-positive colon cancers, we revealed a linkage of ITIH5 expression with longer OS in proximal tumor specimens of the TCGA data portal. The potential clinical impact of abundant ITIH5 mRNA expression in colon cancer was enforced by a pronounced OS of patients with proximal CIMP-positive colon cancer. Several studies confirmed an unfavorable prognosis of patients with CIMP-positive tumors compared with those with non-CIMP status.17,18 In this context, a high ITIH5 expression might be a novel independent biomarker for prognosis of patients with proximal CIMP-positive colon cancer. Nevertheless, the biological role of ITIH5 in the CIMP-related signaling pathway has to be unraveled in further studies. In agreement with our breast cancer related study, ITIH5 remains a significant prognostic factor in the clinically important subgroup of patients with node-negative proximal tumors as shown by univariate and multivariate analysis. Lymph node involvement is one of the most important predictors for disease recurrence in colon cancer38 and, consequently, one-half of CRC patients die from the disease due to the high metastatic potential.1 Hence, there is still a lack in suitable prognostic biomarker for risk stratification in early stage CRC patients.39 Accordingly, all patients with node-positive tumors receive adjuvant therapy while the value of adjuvant therapy for node-negative cases is still controversial.40,41 Therewith, ITIH5 may represent a novel biomarker of nodal disease spread with clinical utility in CRC helping to estimate favorable patients’ outcome in lymph node negative tumors and prevent unnecessary chemotherapy. However, these findings have to be evaluated in an independent cohort with more cases.
Of importance, since the defined CIMP-positive classifying biomarkers CACNA1G, RUNX3, SOCS1, MLH1, and CDKN2A 13, revealed no clinical relevance in the TCGA data cohort, the prognostic value of abundant ITIH5 expression became even more important. In contrast, ITIH5 exhibits a remarkable capability to detect methylation in CIMP-high tumors, i.e., ITIH5 promoter methylation has a stronger predictive value (AUC value) for CIMP-high tumors than CACNA1G, RUNX3, and SOCS1 promoter methylation. Indeed, defining a novel three-gene methylation biomarker panel for classifying CIMP-high tumors (ITIH5, MLH1, and CDKN2A) increased its specificity from 10% to 91.7%.
To give a first insight into the molecular function of ITIH5 in colon cancer, we evaluated the proliferation activity in the MSI-H cell line HCT116 and the MSS cell line CaCo2 by a functional XTT assay. Both cell lines showed a reduced proliferation rate in ITIH5-transfected cells as compared with mock-transfected control cells, emphasizing a putative tumor suppressive role in colon tumors in vitro.
In conclusion, these findings provide for the first time evidence that ITIH5 acts as a tumor suppressor gene in normal colon tissue. To our knowledge, this is the first study so far demonstrating a putative tumor suppressive function of ITIH5 in colon cancer. In addition, ITIH5 is potentially valuable as a prognostic biomarker for the clinically important group of patients with proximal CIMP-positive and lymph node negative cancer whose disease management has to be adjusted to a personalized progression risk. With respect to the known defined CIMP-positive classifying biomarkers, ITIH5 might be an improved novel biomarker for CIMP-high tumors with both functional significance to tumorigenesis and prognostic significance for patient survival. Further investigation of the contribution of ITIH5 to colon cancer progression concerning the potentially biological relevance in the epigenetic CIMP pathway may help to understand this pathway in more detail, finally helping to improve disease management.
Material and Methods
Cryoconserved patient samples
Tumor and adjacent normal tissue samples for methylation and mRNA expression analysis from 30 patients with primary CRC were obtained from the tumor bank of Euregional comprehensive Cancer Center Aachen (ECCA), now being part of the RWTH centralized biomaterial bank (RWTH cBMB; http://www.cbmb.rwth-aachen.de). All patients gave informed consent for retention and analysis of their tissue for research purposes (local ethical review board of the medical faculty of the RWTH Aachen, ref no. EK-206/09). Tumor material was snap-frozen in liquid nitrogen directly after surgery. Hematoxylin and eosin-stained sections were prepared for assessment of the percentage of tumor cells, only samples with >70% tumor cells were selected. An overview of the clinical characteristics of the patients is summarized in Table S7.
In silico patients samples
Data from primary colon cancer tissues, recurrent tissues and solid normal tissues were used from The Cancer Genome Atlas (TCGA),28 comprising patients data of two independent platforms: Illumina Infinium DNA methylation (HumanMethylation 450) and IlluminaHiSeq mRNA expression (n = 326). An overview of the clinical characteristics of the patients is summarized in Table S8. In addition, data from a transcriptomic micro-array analysis with 34 MSS and 19 MSI-high colon cancer specimens profiled on Affymetrix GeneChips (HG-U133 Plus 2.0)29 was re-analyzed in this study.
Cell lines and reagents
The human colon cancer cell lines HCT116, CaCo2, and SW480 were obtained, tested, and authenticated from the American Type Culture Collection (ATCC) and were resuscitated before using in experiments. Medium was additionally supplemented with 1 mM sodium pyruvate and 10 mg/ml insulin. Used cell lines were regularly tested for mycoplasma infection using the PCR-based Venor® GeM Mycoplasma Detection Kit (Minerva Biolabs).
Nucleic acid extraction and reverse transcription PCR
Genomic DNA from cryoconserved colon tumors and adjacent normal tissue was isolated using the QIAamp DNA Mini Kit (Qiagen) according to the manufacturer’s instructions. By using TRIzol reagent (Invitrogen) total cellular RNA from cell culture and tissue specimen was prepared. cDNA was synthesized using the reverse transcription system (Promega) as previously described.21
Semiquantitative real-time PCR
cDNAs were amplified by semiquantitative real-time PCR using SYBR-Green PCR mix (Bio-Rad Laboratories) performed in an iCycler IQ5 (Bio-Rad Laboratories). Gene expression was quantified by the comparative CT method, normalizing CT-values to the housekeeping gene GAPDH and calculating relative expression values.42 All primers used spanned at least one intron, and described earlier.22 To ensure experiment accuracy, all reactions were performed in triplicate.
DNA bisulfite modification
The extracted tissue DNA was bisulfite-converted using the EZ DNA methylation kit (Zymo Research) as previously described.21
Quantitative methylation-specific polymerase chain reaction (qMSP)
Bisulfite-modified DNA used as template for fluorescence-based MSP, as previously described.27 Amplification reactions were performed in triplicate in a volume of 25 μl containing 20 ng bisulfite-modified DNA. Primers and probes were designed specifically to amplify bisulfite-converted DNA for the ITIH5 gene and the reference gene GAPDH to normalize for input DNA.27 Amplifications were performed in an iCycler iQ5 (Bio-Rad). Each plate included positive controls for the methylated sequence (in vitro methylated human leukocyte DNA) and unmethylated sequence (human leukocyte DNA from a healthy donor), as well as multiple water blanks.
AZA/TSA treatment
A demethylating treatment of the colon cancer cell lines HCT116, CaCo2, and SW480 was performed as previously described.43
Transfection of HCT116 and CaCo2
For transient transfection experiments, HCT116 and CaCo2 cells were grown at 60–70% confluence and transfected with either the pBK-CMV (empty vector) or the ITIH5-pBK-CMV construct19 using Fugene HD according to the manufacturer’s instructions (Roche Diagnostics). After 72h, transfected cells were grown in media containing 1 mg/ml G418 for two weeks. Transfected cells were characterized by both real-time PCR and western blot for expression of ITIH5.
Western blotting
Protein lysates were analyzed from control cells (–ITIH5) and ITIH5-transfected (+ITIH5) cell lines under reducing (50 mM DTT) conditions in NuPAGE lysis buffer (Invitrogen). Approximately 20 mg of protein were separated in 4–12% Bis-Tris gels (Invitrogen) using MOPS-SDS running buffer and electroblotted onto nitrocellulose membranes. Membranes were incubated with primary antibody (polyclonal anti-ITIH5 200 ng/ml, Pineda Company) overnight at 4 °C. After washing with Tris-buffered saline Tween-20 (TBS-T), membranes were incubated with horseradish peroxidase (HRP)-conjugated anti-rabbit IgG (Chemicon International; 1:4000) for 1h at room temperature. Antibody detection was performed with the ECL western blotting detection system (Amersham Life Science). Equal protein loading was monitored by using β-actin specific antibody.
ITIH5 immunohistochemistry
Immunohistochemical staining was performed as previously described22 with slide modifications: FFPE sections were incubated with a polyclonal ITIH5 rabbit anti-human antibody (1:200) (Pineda Company). FFPE sections of non-cancerous placenta tissue served as positive control.
Proliferation assay
The XTT proliferation assay from Roche (Frankfurt, Germany) was used. Cells were plated and cultivated in flat 96-well plates (1 × 103 cells/well). To each well, 100 ml of growth medium and 50 µl of XTT reagent solution was added and the plate incubated for 4 h at 37 °C. Proliferation rate examined after 24h, 48h, 72h, and 96h of growth. The absorbance of the samples was measured at 450 nm.
Statistical analysis
Statistical analyses were performed using SPSS 17.0 (SPSS) and GraphPad Prism 5.0 (GraphPad Software Inc.). The non-parametric Mann-Whitney U-test was used in order to compare ITIH5 expression between tumor and normal colon tissue and ITIH5-positive and negative cells. Differences were considered statistically significant if the two sided P values were equal or below 5% (≤0.05).
Gene expression re-analysis of MSS and MSI-high colon cancer specimen29 was performed using BRB-ArrayTools developed by Dr. Richard Simon and BRB-ArrayTools Development Team version 4.3.0 Beta. In order to significantly identify genes differentially expressed between two classes, the class comparison evaluation was used.
ITIH5 methylation status and expression in human colon cancer samples was assessed using an independent and public data set (TCGA). Correlation of the ITIH5 expression (TCGA Illumina sequencing platform) and ITIH5 methylation data (TCGA HM450 platform) was performed by calculating a Spearman correlation coefficient. Overall survival (OS) was measured from surgery until death and was censored for patients alive without evidence of death at the last follow-up. Multivariate Cox-regression analysis was performed to test for an independent prognostic value of ITIH5 expression. Selection of the prognostic factors to be included in the multivariate model was based on statistical significance in univariate Breslow tests. Receiver-operating-characteristics (ROC) curves were calculated to evaluate the diagnostic performance of different marker combinations.44
Supplementary Material
Disclosure of Potential Conflicts of Interest
No potential conflicts of interest were disclosed.
Acknowledgments
We thank Sonja von Serényi and Jennifer Wipperfürth for excellent technical assistance.
Glossary
Abbreviations:
- AUC
area under the curve
- cBMB
centralized biomaterial bank
- CIMP
CpG island methylator phenotype
- cfDNA
circulating-free DNA
- CT
cycle threshold
- DNA
deoxyribonucleic acid
- GAPDH
glyceraldehyde-3-phosphate dehydrogenase
- ITIH5
Inter-alpha-trypsin inhibitor chain 5
- MSI
microsatellite instability
- qMSP
quantitative methylation-specific PCR
- PCR
polymerase chain reaction
- PMR
percentage of methylated reference
- ROC
receiver operating characteristics
References
- 1.Jemal A, Bray F, Center MM, Ferlay J, Ward E, Forman D. Global cancer statistics. CA Cancer J Clin. 2011;61:69–90. doi: 10.3322/caac.20107. [DOI] [PubMed] [Google Scholar]
- 2.Pritchard CC, Grady WM. Colorectal cancer molecular biology moves into clinical practice. Gut. 2011;60:116–29. doi: 10.1136/gut.2009.206250. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 3.Vogelstein B, Fearon ER, Hamilton SR, Kern SE, Preisinger AC, Leppert M, Nakamura Y, White R, Smits AM, Bos JL. Genetic alterations during colorectal-tumor development. N Engl J Med. 1988;319:525–32. doi: 10.1056/NEJM198809013190901. [DOI] [PubMed] [Google Scholar]
- 4.Vilar E, Gruber SB. Microsatellite instability in colorectal cancer-the stable evidence. Nat Rev Clin Oncol. 2010;7:153–62. doi: 10.1038/nrclinonc.2009.237. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 5.Jass JR, Do KA, Simms LA, Iino H, Wynter C, Pillay SP, Searle J, Radford-Smith G, Young J, Leggett B. Morphology of sporadic colorectal cancer with DNA replication errors. Gut. 1998;42:673–9. doi: 10.1136/gut.42.5.673. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 6.Peel DJ, Ziogas A, Fox EA, Gildea M, Laham B, Clements E, Kolodner RD, Anton-Culver H. Characterization of hereditary nonpolyposis colorectal cancer families from a population-based series of cases. J Natl Cancer Inst. 2000;92:1517–22. doi: 10.1093/jnci/92.18.1517. [DOI] [PubMed] [Google Scholar]
- 7.Thibodeau SN, Bren G, Schaid D. Microsatellite instability in cancer of the proximal colon. Science. 1993;260:816–9. doi: 10.1126/science.8484122. [DOI] [PubMed] [Google Scholar]
- 8.Graziano F, Cascinu S. Prognostic molecular markers for planning adjuvant chemotherapy trials in Dukes’ B colorectal cancer patients: how much evidence is enough? Ann Oncol. 2003;14:1026–38. doi: 10.1093/annonc/mdg284. [DOI] [PubMed] [Google Scholar]
- 9.Locker GY, Hamilton S, Harris J, Jessup JM, Kemeny N, Macdonald JS, Somerfield MR, Hayes DF, Bast RC, Jr., ASCO ASCO 2006 update of recommendations for the use of tumor markers in gastrointestinal cancer. J Clin Oncol. 2006;24:5313–27. doi: 10.1200/JCO.2006.08.2644. [DOI] [PubMed] [Google Scholar]
- 10.Boland CR, Goel A. Microsatellite instability in colorectal cancer. Gastroenterology. 2010;138:2073–87, e3. doi: 10.1053/j.gastro.2009.12.064. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 11.Imai K, Yamamoto H. Carcinogenesis and microsatellite instability: the interrelationship between genetics and epigenetics. Carcinogenesis. 2008;29:673–80. doi: 10.1093/carcin/bgm228. [DOI] [PubMed] [Google Scholar]
- 12.Toyota M, Ahuja N, Ohe-Toyota M, Herman JG, Baylin SB, Issa JP. CpG island methylator phenotype in colorectal cancer. Proc Natl Acad Sci U S A. 1999;96:8681–6. doi: 10.1073/pnas.96.15.8681. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 13.Weisenberger DJ, Siegmund KD, Campan M, Young J, Long TI, Faasse MA, Kang GH, Widschwendter M, Weener D, Buchanan D, et al. CpG island methylator phenotype underlies sporadic microsatellite instability and is tightly associated with BRAF mutation in colorectal cancer. Nat Genet. 2006;38:787–93. doi: 10.1038/ng1834. [DOI] [PubMed] [Google Scholar]
- 14.Ogino S, Odze RD, Kawasaki T, Brahmandam M, Kirkner GJ, Laird PW, Loda M, Fuchs CS. Correlation of pathologic features with CpG island methylator phenotype (CIMP) by quantitative DNA methylation analysis in colorectal carcinoma. Am J Surg Pathol. 2006;30:1175–83. doi: 10.1097/01.pas.0000213266.84725.d0. [DOI] [PubMed] [Google Scholar]
- 15.Toyota M, Ohe-Toyota M, Ahuja N, Issa JP. Distinct genetic profiles in colorectal tumors with or without the CpG island methylator phenotype. Proc Natl Acad Sci U S A. 2000;97:710–5. doi: 10.1073/pnas.97.2.710. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 16.van Rijnsoever M, Grieu F, Elsaleh H, Joseph D, Iacopetta B, van RM Characterisation of colorectal cancers showing hypermethylation at multiple CpG islands. Gut. 2002;51:797–802. doi: 10.1136/gut.51.6.797. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 17.Hawkins N, Norrie M, Cheong K, Mokany E, Ku SL, Meagher A, O’Connor T, Ward R. CpG island methylation in sporadic colorectal cancers and its relationship to microsatellite instability. Gastroenterology. 2002;122:1376–87. doi: 10.1053/gast.2002.32997. [DOI] [PubMed] [Google Scholar]
- 18.Van Rijnsoever M, Elsaleh H, Joseph D, McCaul K, Iacopetta B, van RM CpG island methylator phenotype is an independent predictor of survival benefit from 5-fluorouracil in stage III colorectal cancer. Clin Cancer Res. 2003;9:2898–903. [PubMed] [Google Scholar]
- 19.Himmelfarb M, Klopocki E, Grube S, Staub E, Klaman I, Hinzmann B, Kristiansen G, Rosenthal A, Dürst M, Dahl E. ITIH5, a novel member of the inter-alpha-trypsin inhibitor heavy chain family is downregulated in breast cancer. Cancer Lett. 2004;204:69–77. doi: 10.1016/j.canlet.2003.09.011. [DOI] [PubMed] [Google Scholar]
- 20.Hamm A, Veeck J, Bektas N, Wild PJ, Hartmann A, Heindrichs U, Kristiansen G, Werbowetski-Ogilvie T, Del Maestro R, Knuechel R, et al. Frequent expression loss of Inter-alpha-trypsin inhibitor heavy chain (ITIH) genes in multiple human solid tumors: a systematic expression analysis. BMC Cancer. 2008;8:25. doi: 10.1186/1471-2407-8-25. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 21.Veeck J, Chorovicer M, Naami A, Breuer E, Zafrakas M, Bektas N, Dürst M, Kristiansen G, Wild PJ, Hartmann A, et al. The extracellular matrix protein ITIH5 is a novel prognostic marker in invasive node-negative breast cancer and its aberrant expression is caused by promoter hypermethylation. Oncogene. 2008;27:865–76. doi: 10.1038/sj.onc.1210669. [DOI] [PubMed] [Google Scholar]
- 22.Rose M, Gaisa NT, Antony P, Fiedler D, Heidenreich A, Otto W, Denzinger S, Bertz S, Hartmann A, Karl A, et al. Epigenetic inactivation of ITIH5 promotes bladder cancer progression and predicts early relapse of pT1 high-grade urothelial tumours. Carcinogenesis. 2014;35:727–36. doi: 10.1093/carcin/bgt375. [DOI] [PubMed] [Google Scholar]
- 23.Huang L, Yoneda M, Kimata K. A serum-derived hyaluronan-associated protein (SHAP) is the heavy chain of the inter alpha-trypsin inhibitor. J Biol Chem. 1993;268:26725–30. [PubMed] [Google Scholar]
- 24.Kobayashi H, Gotoh J, Hirashima Y, Fujie M, Sugino D, Terao T. Inhibitory effect of a conjugate between human urokinase and urinary trypsin inhibitor on tumor cell invasion in vitro. J Biol Chem. 1995;270:8361–6. doi: 10.1074/jbc.270.14.8361. [DOI] [PubMed] [Google Scholar]
- 25.Kobayashi H, Shinohara H, Fujie M, Gotoh J, Itoh M, Takeuchi K, Terao T. Inhibition of metastasis of Lewis lung carcinoma by urinary trypsin inhibitor in experimental and spontaneous metastasis models. Int J Cancer. 1995;63:455–62. doi: 10.1002/ijc.2910630326. [DOI] [PubMed] [Google Scholar]
- 26.Veeck J, Breuer E, Rose M, Chorovicer M, Naami A, Bektas N, Alkaya S, von Serényi S, Horn F, Hartmann A, et al. [Novel prognostic marker in invasive breast cancer. ITIH5 expression is abrogated by aberrant promoter methylation] Pathologe. 2008;29(Suppl 2):338–46. doi: 10.1007/s00292-008-1044-9. [DOI] [PubMed] [Google Scholar]
- 27.Kloten V, Becker B, Winner K, Schrauder MG, Fasching PA, Anzeneder T, Veeck J, Hartmann A, Knüchel R, Dahl E. Promoter hypermethylation of the tumor-suppressor genes ITIH5, DKK3, and RASSF1A as novel biomarkers for blood-based breast cancer screening. Breast Cancer Res. 2013;15:R4. doi: 10.1186/bcr3375. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 28.Cancer Genome Atlas Network Comprehensive molecular characterization of human colon and rectal cancer. Nature. 2012;487:330–7. doi: 10.1038/nature11252. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 29.Gröne J, Lenze D, Jurinovic V, Hummel M, Seidel H, Leder G, Beckmann G, Sommer A, Grützmann R, Pilarsky C, et al. Molecular profiles and clinical outcome of stage UICC II colon cancer patients. Int J Colorectal Dis. 2011;26:847–58. doi: 10.1007/s00384-011-1176-x. [DOI] [PubMed] [Google Scholar]
- 30.Bae JM, Kim MJ, Kim JH, Koh JM, Cho NY, Kim TY, Kang GH. Differential clinicopathological features in microsatellite instability-positive colorectal cancers depending on CIMP status. Virchows Arch. 2011;459:55–63. doi: 10.1007/s00428-011-1080-3. [DOI] [PubMed] [Google Scholar]
- 31.Lee S, Cho NY, Yoo EJ, Kim JH, Kang GH. CpG island methylator phenotype in colorectal cancers: comparison of the new and classic CpG island methylator phenotype marker panels. Arch Pathol Lab Med. 2008;132:1657–65. doi: 10.5858/2008-132-1657-CIMPIC. [DOI] [PubMed] [Google Scholar]
- 32.Iacopetta B. Are there two sides to colorectal cancer? Int J Cancer. 2002;101:403–8. doi: 10.1002/ijc.10635. [DOI] [PubMed] [Google Scholar]
- 33.Kapiteijn E, Liefers GJ, Los LC, Kranenbarg EK, Hermans J, Tollenaar RA, Moriya Y, van de Velde CJH, van Krieken JHJM. Mechanisms of oncogenesis in colon versus rectal cancer. J Pathol. 2001;195:171–8. doi: 10.1002/path.918. [DOI] [PubMed] [Google Scholar]
- 34.Hanahan D, Weinberg RA. Hallmarks of cancer: the next generation. Cell. 2011;144:646–74. doi: 10.1016/j.cell.2011.02.013. [DOI] [PubMed] [Google Scholar]
- 35.Oing C, Jost E, Dahl E, Wilop S, Brümmendorf TH, Galm O. Aberrant DNA hypermethylation of the ITIH5 tumor suppressor gene in acute myeloid leukemia. Clin Epigenetics. 2011;2:419–23. doi: 10.1007/s13148-011-0043-5. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 36.Fleisher AS, Esteller M, Tamura G, Rashid A, Stine OC, Yin J, Zou TT, Abraham JM, Kong D, Nishizuka S, et al. Hypermethylation of the hMLH1 gene promoter is associated with microsatellite instability in early human gastric neoplasia. Oncogene. 2001;20:329–35. doi: 10.1038/sj.onc.1204104. [DOI] [PubMed] [Google Scholar]
- 37.Issa JP. CpG island methylator phenotype in cancer. Nat Rev Cancer. 2004;4:988–93. doi: 10.1038/nrc1507. [DOI] [PubMed] [Google Scholar]
- 38.Midgley R, Kerr D. Colorectal cancer. Lancet. 1999;353:391–9. doi: 10.1016/S0140-6736(98)07127-X. [DOI] [PubMed] [Google Scholar]
- 39.Deschoolmeester V, Baay M, Specenier P, Lardon F, Vermorken JB. A review of the most promising biomarkers in colorectal cancer: one step closer to targeted therapy. Oncologist. 2010;15:699–731. doi: 10.1634/theoncologist.2010-0025. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 40.Kornmann M, Formentini A, Ette C, Henne-Bruns D, Kron M, Sander S, Baumann W, Kreuser ED, Staib L, Link KH. Prognostic factors influencing the survival of patients with colon cancer receiving adjuvant 5-FU treatment. Eur J Surg Oncol. 2008;34:1316–21. doi: 10.1016/j.ejso.2008.01.019. [DOI] [PubMed] [Google Scholar]
- 41.Benson AB., 3rd New approaches to the adjuvant therapy of colon cancer. Oncologist. 2006;11:973–80. doi: 10.1634/theoncologist.11-9-973. [DOI] [PubMed] [Google Scholar]
- 42.Fink L, Seeger W, Ermert L, Hänze J, Stahl U, Grimminger F, Kummer W, Bohle RM. Real-time quantitative RT-PCR after laser-assisted cell picking. Nat Med. 1998;4:1329–33. doi: 10.1038/3327. [DOI] [PubMed] [Google Scholar]
- 43.Veeck J, Niederacher D, An H, Klopocki E, Wiesmann F, Betz B, Galm O, Camara O, Dürst M, Kristiansen G, et al. Aberrant methylation of the Wnt antagonist SFRP1 in breast cancer is associated with unfavourable prognosis. Oncogene. 2006;25:3479–88. doi: 10.1038/sj.onc.1209386. [DOI] [PubMed] [Google Scholar]
- 44.Zweig MH, Campbell G. Receiver-operating characteristic (ROC) plots: a fundamental evaluation tool in clinical medicine. Clin Chem. 1993;39:561–77. [PubMed] [Google Scholar]
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