Expression of cancer-associated fibroblast markers in advanced colorectal cancer
- Authors:
- Published online on: February 21, 2018 https://doi.org/10.3892/ol.2018.8097
- Pages: 6195-6202
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Copyright: © Nishishita et al. This is an open access article distributed under the terms of Creative Commons Attribution License.
Abstract
Introduction
Cancer tissues are composed of cancer cells and the surrounding stroma including fibroblasts, vascular endothelial cells, and extracellular matrix. Recent studies have focused on the cancer-associated fibroblasts (CAFs), a major cellular component of the cancer stroma, and have demonstrated that CAFs promote neoplastic angiogenesis and tumor growth in various tumors (1–6).
Collagen I, D2-40 (antibody recognizing podoplanin), Platelet-derived growth factor receptor-β (PDGFR-β), and α-smooth muscle actin (α-SMA) have been known as molecular/histopathological markers of CAFs (7). Podoplanin (D2-40) expressions in CAFs from various cancers have been studied (8). The majority of recently reports identified podoplanin (D2-40) expression of CAFs as an unfavorable marker of prognosis, such as lung cancer (9), breast cancer (10), and esophageal adenocarcinoma (11), while podoplanin expression of CAFs was shown as a favorable prognosis indicator of colorectal cancer (12,13). Some previous studies have reported one of the above CAF markers, but there are no papers for analyzing the relationships among these CAFs using image technique in colorectal cancer. The relationships of CAF markers, such as collagen I, D2-40, PDGFR-β, and α-SMA in advanced colorectal cancer are still unknown. We speculate synergic effects of individual CAF markers are important, and may significantly contribute neoplastic angiogenesis.
In this study, we analyzed histopathological expression of CAF markers in the human advanced colorectal cancers, as well as vessel markers (CD31 and CD34), because CAFs are thought to promote neoplastic angiogenesis in the cancer stroma. In addition, we examined the relations among the CAF/vessel markers and clinicopathological factors.
Materials and methods
Tissue specimens
A total 121 tumor samples from patients who underwent curative surgical resection for advanced colorectal cancer at the Hirosaki University Hospital between January 2008 and December 2009 were included. Informed consent was obtained from each patient regarding the use of clinical records and pathological specimens. Cancer had invaded the subserosa layer of the colorectal wall, and the clinical stages were stage IIA, IIIB, or IIIC according to the TNM classification of the UICC (14). Lymph nodes were evaluated histologically. No patient received preoperative chemotherapy, and no patient had metastasis of other organs. Ethical approval was obtained from the Hirosaki University Graduate School of Medicine Ethics Committee (Hirosaki, Japan).
Pathological analysis
For histopathological examination, all surgically resected specimens were fixed using 10% formalin, embedded in paraffin, and stained using hematoxylin and eosin. The histological features were assessed in the largest cross-sectional tumor section, and histological type, lymphatic invasion, venous invasion, and lymph node metastasis were evaluated according to the Japanese Classification of Colorectal Cancer (15). One hundred twenty-one cases of colorectal cancer were classified into well-differentiated tubular adenocarcinoma (tub1), moderately differentiated tubular adenocarcinoma (tub2), papillary adenocarcinoma (pap), poorly differentiated adenocarcinoma (por), and mucinous adenocarcinoma (muc). Papillary adenocarcinoma consists of papillary or villous architecture neoplastic glands. Histological type was classified into two groups: Differentiated type, tub1, tub2, or pap, and poorly differentiated type, por or muc. The degree of lymphatic invasion was classified as ly0, no invasion; ly1, minimal invasion; ly2, moderate invasion; or ly3, severe invasion. We regarded ly0 and ly1 as low-grade invasion and ly2 and ly3 as high-grade invasion. The degree of venous invasion was classified as the same as lymphatic invasion.
Immunohistochemical staining
For immunohistochemical examination, sections on microslides were deparaffinized using the standard avidin-biotin-peroxidase complex method with automated immunostainer (Benchmark XT; Ventana Medical System, Tucson, AZ, USA). The antibodies of clones and dilution ratios were α-SMA (clone 1A4, dilution 1:100; Dako; Agilent Technologies, Inc., Santa Clara, CA, USA), desmin (clone D33, dilution 1:100; Dako; Agilent Technologies, Inc.), D2-40 (clone D2-40, cat. no. 413451, diluted antibody; Nichirei Biosciences, Inc., Tokyo, Japan), CD31 (clone JC70A, dilution 1:40; Dako; Agilent Technologies, Inc.), CD34 (clone QBEnd 10, DAKO, dilution 1:100), PDGFR-β (clone C82A3, dilution 1:100; Cell Signaling Technology, Inc., Danvers, MA, USA), and collagen I (clone COL1A1, dilution 1:100; Rockland, Inc., Gilbertsville, PE, USA).
Image analysis
For the evaluation of each marker in the cancer stroma, we used an image analysis. We selected a hot spot of D2-40-positive stromal area for each case. When the D2-40 expression was not found, we captured an image of the site with the most CAFs. We used a microscope BX53 with an UPlanFL objection lens, ×4 magnification, DP control software, and a DP-21 digital camera (Olympus, Tokyo, Japan) for captured images. ImageJ software (National Institutes of Health, Bethesda, MD, USA) was applied to analyze captured images. We captured immunohistochemical staining images, and adjusted phases in each case by using Adobe Photoshop software (Adobe® Photoshop® CC 2014®; Adobe Systems, Inc., San Jose, CA, USA) for image registration. We cropped out the maximum range that a cancer stroma could be evaluated from the adjusted image, and binarized them using the ImageJ software.
Evaluation of immunohistchemical staining expression area
We measured the percentage of immunostaining-positive lesions in the total cropped, binarized area for each immunostained slide. The binarized image shows immunostaining-positive and -negative lesions as black and white, respectively. For the examination of α-SMA-positive myofibroblasts, we made an α-SMA-desmin subtraction image using the subtraction mode of the ImageJ software (Fig. 1) because α-SMA became positive for muscle tissues, such as muscularis mucosa and muscular layer, in addition to the myofibroblasts. The subtraction image shows the value of α-SMA-positive and desmin-negative myofibroblasts in the cancer stroma. We called this subtraction image as α-SMA subtraction. D2-40-, PDGFR-β-, and collagen I-positive lesions were made binarized and calculated expression area (the positive percentage of the cropped area) by using ImageJ software in the cancer stroma as CAF markers. CD31 and CD34 positive lesions were also made binarized and calculated as vessel markers by using ImageJ software.
Evaluation of immunohistchemical staining expression intensity
Three investigators (RN, SM, and HS) evaluated the immunohistochemical results in the captured images at low magnification (×40). There was unevenness in the level of PDGFR-β, D2-40, and collagen I staining intensity for each case, which required an evaluation by intensity score. The intensity of α-SMA staining was strong and uniform for all cases, therefore, α-SMA was evaluated by only expression area analysis. Immunohistochemical scores for PDGFR-β, collagen I, and D2-40 were evaluated according to the staining intensity as follows: Score 1, weak staining in stromal cell; score 2, moderate staining in stromal cell; score 3, severe staining in stromal cell (Fig. 2). The scores given by the three evaluators were summed for each case. We regarded cases with total score of 8 to 9 as high intensity and 3 to 7 as low intensity. The intensity of CD31/CD34 staining was strong and uniform for all cases, therefore, CD31/CD34 were evaluated by only expression area analysis.
Statistical analysis
The value of immunohistochemical expression area and intensity and pathological factor were compared by using Pearson's chi-square test or Fisher's exact test for categorical data. Normally distributed and homoscedastic data were analyzed by two-sample t-test, and non-normally distributed data were analyzed by the Wilcoxon rank sum test for continuous data. The median immunostaining expression area (α-SMA subtraction, CD31, and CD34) and each staining intensity score (collagen I, D2-40, and PDGFR-β) were compared by using Kruskal-Wallis test. P<0.05 was considered to indicate a statistically significant difference. Each of the mean/median immunostaining expression percentage in the cancer stroma was compared using Spearman's rank correlation coefficient. Correlation was defined as statistically significant if the rho value (r) was >0.4. All statistical evaluations were performed using R (http://www.r-project.org) and EZR (Saitama Medical Center, Jichi Medical University, Saitama, Japan).
Results
Expression of CAF/vessel markers of colorectal cancer tissues
The clinicopathological characteristics of the 121 colorectal cancer cases are summarized in Table I. We analyzed immunohistochemical expression area (ratio; percentage) of colorectal stroma. Mean/median expression areas of CAF/vessel markers were 26.787% (collagen I, range 0.848–59.069%), 1.372% (D2-40, range 0.002–11.860%), 11.646% (PDGFR-β, range 0.014–38.381%), 15.372% (α-SMA subtraction, range 1.552–38.608%), 3.635% (CD31, range 0.249–11.071%), and 2.226% (CD34, range 0.681–8.508%) in 121 colorectal cancer specimens. There was no statistical association between any CAF/vessel markers (both of expression area/intensity) and the histological type (Table II).
Expression of CAF/vessel markers, and venous invasion/lymphatic invasion/lymph node metastasis
Relationships between the expression of CAF/vessel markers, and venous invasion/lymphatic invasion/lymph node metastasis are summarized in Tables III, IV and V, respectively. Extensive expression area of α-SMA subtraction (P=0.002), collagen I (P=0.040) and PDGFR-β (P=0.040) were significantly correlated with high-grade venous invasion (Table III). There was no relation between lymphatic invasion and expression of CAF/vessel markers except for CD34. Much expression area of CD34 was correlated with high lymphatic invasion (P=0.048) (Table IV). There was no relation between lymph node metastasis and expression of CAF/vessel markers except for α-SMA subtraction (Table V). Weak expression area of α-SMA subtraction was significantly correlated with positive lymph node metastasis (P=0.025). Strong expression area of α-SMA subtraction was significantly correlated with negative lymph node metastasis (P=0.025).
Correlation among CAF/vessel markers
We evaluated the correlation among the expression of CAF/vessel markers. Speaman's correlation rho, and the scatter plots are shown in Table VI, and Fig. 3, respectively. There was significant correlation between α-SMA subtraction and collagen I (P<0.001, correlation rho=0.509) in expression area. The significant difference was not found between other CAF and vascular marker nor other CAF markers each other in expression area. There was not significant difference between collagen I and D2-40 (P=0.119), collagen I and PDGFR-β (P=0.665), PDGFR-β and D2-40 (P=0.940) in intensity score. There was not significant difference between α-SMA subtraction (expression area) and three each CAF markers intensity score; collagen I (P=0.072), D2-40 (P=0.297), and PDGFR-β (P=0.386). There was not difference between CD31 expression area and three CAF markers of intensity score; collagen I (P=0.232), D2-40 (P=0.205), and PDGFR-β (P=0.657). There was not difference between CD34 expression area and three CAF markers of intensity score; collagen I (P=0.133), D2-40 (P=0.090), and PDGFR-β (P=0.641).
Discussion
Previous reports were accomplished about each CAF (13,16–19), but did not provided the information about the comparison of each CAF. We captured immunohistochemical staining images, and adjusted phases in each case by using Adobe Photoshop software (Adobe® Photoshop® CC 2014®; USA) for image registration, and compared the different antibodies in the same field. In the present study, we analyzed histopathological expression of CAF markers (collagen I, D2-40, PDGFR-β and α-SMA subtraction) in 121 cases of the surgically resected advanced colorectal cancers, using digital image analyses. High levels of α-SMA subtraction (P=0.002), collagen I (P=0.040), and PDGFR-β (P=0.040) expression areas tended to be associated with high venous invasion. α-SMA positive and desmin negative myofibroblasts in the advanced colorectal cancer is associated with malignant potential in previous study (16,17). Serum levels of Collagen I degradation telopeptide are correlated with staging and poor disease-free survival of colorectal patients (19). PDGFR-β expression in colorectal cancer stroma is associated with metastatic potential (18). Our data supported these previous reports. α-SMA subtraction and venous invasion had strongest positive correlation in the three markers (α-SMA subtraction, collagen I, and PDGFR-β), in spite of a median expression of the α-SMA subtraction not being so high (α-SMA subtraction 15.372%, collagen I 26.787%, and PDGFR-β 11.646%).
We evaluated the correlation among the expression of CAF/vessel markers. Collagen I, α-SMA subtraction, and PDGFR-β correlated with venous invasion. There was significant correlation between α-SMA subtraction and collagen I expression (P<0.001, correlation rho=0.509). PDGFR-β was not associated with collagen I nor α-SMA subtraction image, though high PDGFR-β expression was correlated with venous invasion. These data suggested that α-SMA subtraction, collagen I, and PDGFR-β might have differential strength effects for venous invasion and different expression patterns in advanced colorectal cancer stroma. Immunohistochemically, collagen I, α-SMA subtraction, and PDGFR-β widely expressed in the whole colorectal cancer stroma. On the other hand, the expression of D2-40 was generally localized in the cancer stroma, and was more frequently detected in the superficial parts of the cancer tissue. The expression patterns (location, intensity) of collagen I were similar to that of α-SMA subtraction image, but PDGFR-β and D2-40 showed different expression patterns in advanced colorectal cancer stroma. The different expression pattern may influence venous invasion. It is necessary to further study the relationships between CAFs in colorectal cancer. CAF markers must become potential targets of future colorectal cancer treatment. Combination therapy of PDGFR tyrosine kinase inhibitor and anticancer drug was more effective than the anticancer drug alone (20,21). In the future, cancer treatment will be taylor made treatment, and its options will be expanded. Knowing the detailed characters of CAFs leads to taylor made treatment. In our study, it is possible that α-SMA subtraction contributes most to venous invasion compare with collagen I, PDGFR-β.
The significant differences were seen in the expression of collagen I, PDGFR-β and α-SMA subtraction between low and high venous invasion. Expression area analysis was quantifiable by using digital image analyses. On the other hand, it was difficult to analyze the intensity of collagen I, and α-SMA subtraction, because the expression of α-SMA subtraction and collagen I was highly expressed in most cases. The intensity of the expression of PDGFR-β is likely to be unstable due to its small fluctuation in intensity. Therefore, there was no significant difference in the expression intensity. Interestingly, the expression of α-SMA subtraction was low in lymph node metastasis cases in this study. We analyzed the CAF and vessel markers focused on the D2-40 expressed lesions, therefore D2-40 might have some influence for CAF and vessel markers expression. D2-40 (Podoplanin) is a 38-kDa mucin-type transmembrane glycoprotein with extensive O-glycosylation and high sialic acid content, and it has been implicated in tumor progression (22). Podoplanin promotes relocalization of ezrin to filopodia-like structure and platelet aggregation, so that podoplanin may be involved in cancer migration, invasion, and malignant progression (23–25). The majority of recently reports identified D2-40 expression of CAFs as an unfavorable marker of prognosis (9–11), but some reports described D2-40 in CAFs as a favorable marker for colorectal cancer (12,13). Choi et al analyzed early and advanced colorectal cancer (12). Yamanashi et al analyzed 120 advanced colorectal cancer cases (13). The detailed mechanism has not been understood why the expression of D2-40 becomes a favorable marker for colorectal cancer. Despite high venous invasion of α-SMA subtraction expression, D2-40 expressed area might influence the potential of lymph node metastasis in this study. Collagen I and PDGFR-β are recognized to have malignant potential in CAFs of colorectal cancer (18,19). These two markers do not have a relationship with lymph node metastases, but have a relationship with vein involvement in our study. There is possibility that α-SMA subtraction, collagen I, and PDGFR-β are associated with venous invasion rather than lymphatic invasion. Both vessel markers (CD31/CD34) were not statistically associated with CAF markers/other histological factors, except for the relationship between CD34 and lymphatic invasion.
Our results indicated that the patterns of expression for α-SMA subtraction, collagen I, D2-40, and PDGFR-β vary in CAFs of advanced colorectal cancer. Collagen I, α-SMA subtraction, and PDGFR-β were widely distributed in the colorectal cancer stroma, while D2-40 was limited. The expression of α-SMA subtraction, collagen I, and PDGFR-β were associated with high venous invasion. However, the relationship between CAF markers might be complicated to understand. There have been any previous studies for the relationships between CAF markers. We must further study CAF markers by analyzing with variable viewpoints (i.e., expression pattern, relationship between CAFs and strength for clinicopathological factors).
Acknowledgements
This study was supported by Grants-in Aid for Science from the Ministry of Education, Culture, Sports, Science and Technology in Japan and a grant for Hirosaki University Institutional Research.
Glossary
Abbreviation
Abbreviations:
|
CAF |
cancer-associated fibroblast |
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