MATERIALS AND METHODS

Patients and specimens

A total of 354 CRC formalin-fixed paraffin-embedded tissues were collected retrospectively from the pathologic archives of Yeungnam University Medical Center, Daegu, Korea. All samples were derived from patients who underwent radical resection and subsequent adjuvant chemotherapy from 1996 to 2000 in our institution. Among these, 49 patients (32 patients who had preoperative neoadjuvant chemoradiation therapy, 16 patients who were diagnosed with stage IV disease, and 1 patient who was diagnosed with stage IV and had preoperative neoadjuvant chemoradiation therapy at the same time) were excluded. Patients’ electronic medical records and pathologic reports were reviewed to obtain information including age, sex, location of tumor, pT/pN categories, presence of lymphatic/venous/perineural invasion, and tumor differentiation. The follow-up period for patients (from the date of surgery to the date of recurrence or the last follow-up) ranged from 4 to 243 months and the average disease-free survival (DFS) was 85 months. The restaging of tumors and histological re-grading were carried out according to the American Joint Committee on Cancer Staging Manual, seventh edition. The study was approved by the Yeungnam University Medical Center Institutional Review Board (No. 2016-07-020).

Tissue microarray and immunohistochemistry

Tissue microarray (TMA) construction was conducted by reviewing hematoxylin and eosin stained slides and selecting an area that had sufficient tumor with no hemorrhage or necrosis. One representative tissue core (2 mm in diameter) was obtained from a donor block and placed in a recipient block using a trephine apparatus. Five cases of non-neoplastic colorectal (Fig. 1A), renal, hepatic parenchymal tissues and three cases of non-neoplastic gastric parenchymal tissues were included in each TMA. Seven tissue array blocks were prepared for 305 cases. Immunohistochemical (IHC) staining with rabbit monoclonal Abs against CD9 (1:1,200, EPR2949; Abcam, Cambridge, UK) was performed on each TMA block using a BenchMark XT immunostainer (Ventana Medical System, Tucson, AZ, USA) following the manufacturer’s protocol. Immunoreactivity of CD9 expression was assessed in tumor cells (T-CD9) and immune cells (I-CD9) in stroma semiquantitatively. In cases of T-CD9, both intensity and extent of membranous-to-cytoplasmic staining were evaluated. The intensity was initially scored on a scale of 0 to 3: negative (0), weak positive (1+), moderately positive (2+), and strongly positive (3+) (Fig. 1B–D). The extent of staining was categorized into five groups according to the percentages of positively stained cells: 0% (0), ≤25% (1+), >25 and ≤50% (2+), >50 and ≤75% (3+), and >75% (4+). The final T-CD9 score was determined by multiplying the extent and intensity scores and recording the final score from 0 to 12. The T-CD9 immunoreactivity score was then dichotomized as low (score, 0 to 3) or high (score, 4 to 12). In cases of I-CD9, the percentage of stained immune cells was estimated on a 0, 1+, 2+, and 3+ scale: 0% (0), ≤25% (1+), >25 and ≤ 50% (2+), and >50% (3+) (Fig. 2). The cases of I-CD9 score 0 were classified as low, and when the score was 1 to 3, they were classified as high. All IHC staining assessments were performed independently by two pathologists (K.-J.K. and Y.K.B.), who were blinded to the clinicopathological information. Conflicting evaluations between the pathologists were discussed and a consensus was achieved.

Statistical analysis

IBM SPSS ver. 20.0 (IBM Corp., Armonk, NY, USA) was used for all statistical analysis. Correlation between the categorical variables was analyzed using Pearson’s chi-square test or Fisher exact test. DFS was defined as the period from the date of primary radical resection to the date of tumor recurrence, metastasis, death, or the last follow-up. DFS was assessed by the Kaplan-Meier method with the log-rank test, and multivariate analysis with the Cox regression model was used to adjust variables that had been statistically significant for DFS in univariate analysis. All statistical analyses were two-sided, and statistical significance was considered to be p<.05.

RESULTS

CD9 expression status in CRC

Five normal sample of colorectal tissue and 305 CRC samples were examined to identify CD9 expression. Of the 305 CRC samples, one case T-CD9 sample was excluded from evaluation because repeated sectioning of the TMA block resulted in very few tumor cells remaining for evaluation. As a result, 304 cases of T-CD9 and 305 cases of I-CD9 were analyzed. Among the five samples of non-neoplastic colorectal mucosae, the expression of CD-9 was negative or weakly positive in almost all epithelial cells (Fig. 1A). These weakly positive cells showed similar intensity and were classified into the low expression group. On the other hand, more than 50% of stained stromal immune cells in non-neoplastic colorectal tissues exhibited strong expression of CD9 throughout the entire samples and were classified as the high expression group. Meanwhile, tumor cells and surrounding stromal immune cells showed variable expression patterns. T-CD9 (+) was detected in 175 of 304 CRCs (57.6%), and I-CD9 (+) was detected in 265 of 305 cases (86.9%). One hundred fifty-four cases (50.7%) showed both T-CD9 (+) and I-CD9 (+) and 19 cases (6.3%) exhibited both T-CD9 (–) and I-CD9 (–).

Characteristics of a T-CD9 subset of CRC

No statistically significant differences were noted in clinicopathological parameters including age, sex, stage, gross type, location, pT/pN categories, or frequency of angiolymphatic and perineural invasion between the T-CD9 (+) and T-CD9 (–) groups (Table 1). In Kaplan-Meier survival analysis, the T-CD9 (+) group showed a tendency for better DFS than the T-CD9 (–) group, but statistical significance was not reached (p=.057) (Fig. 3A). We additionally subdivided cases into two groups according to tumor location: right-sided tumors (n=89) and left-sided tumors (n=215). Based on the previous literature [18], CRCs were classified into right- and left-sided tumors relative to the splenic flexure. In other words, tumors arising proximal to the splenic flexure (cecum, ascending colon, and transverse colon) are considered right-sided, and tumors distal to the splenic flexure (descending colon, sigmoid colon, and rectum) are considered left-sided. In left-sided tumors, DFS was significantly better in the T-CD9 (+) group compared to the T-CD9 (–) group (p=.021) (Fig. 3B). However, in right-sided tumors, no significant difference was observed between the two groups (p=.453) (Fig. 3C). Multivariate analysis including stage, lymphatic invasion, vascular invasion, perineural invasion and T-CD9—which were significant prognostic factors in univariate analysis—revealed that the stage (p=.002) was still an independent prognostic predictor for DFS, whereas T-CD9 expression failed to correlate with prognosis, with no difference between T-CD9 (+) and T-CD9 (–) groups in patients with left-sided CRC (p=.167) (Table 2).

Characteristics of an I-CD9 subset of CRC

I-CD9 (+) CRCs significantly correlated with well/moderately differentiation (p=.014) compared to I-CD9 (–) CRCs. However, no significant associations were found for other parameters including age, sex, stage, gross type, location, pT/pN categories, or frequency of angiolymphatic and perineural invasion (Table 1). In Kaplan-Meier survival analysis, the I-CD9 (+) group had a tendency towards worse DFS compared to the I-CD9 (–) group, but no significant difference was found (p=.156) (Fig. 3D). When the cases were subdivided into left- and right-sided CRC groups, I-CD9 (–) suggested a potential protective role in left-sided tumors (p=.233), but statistical significance was not reached (Fig. 3E). In right-sided tumors, no statistical significance was observed between the two groups (p=.643) (Fig. 3F).

Characteristics of a combined T-CD9/I-CD9 subset of CRC

Kaplan-Meier survival analysis found the longest DFS for patients in the T-CD9 (+)/I-CD9 (–) group, whereas the T-CD9 (–)/I-CD9 (+) group had the shortest DFS, but statistical significance was not reached (p=.054) (Fig. 4A). When the patients were divided into left- and right-sided CRC groups, increased survival differences between subgroups was observed in left-sided tumors (p=.030) (Fig. 4B). In right-sided tumors, no significant difference in DFS was observed (p=.957) (Fig. 4C). In multivariate analysis using a Cox proportional hazards model, combined T-CD9/I-CD9 expression was not an independent prognostic factor of DFS in left-sided CRCs (p=.199) (Table 2).

DISCUSSION

Many previous in vitro and in vivo models of cancer cell lines have contributed to our understanding of the role of CD9 and the associated functional complexes with other members of the tetraspanin family and various integrins [14-16,19]. High expression of CD9 in tumor cells has been associated with favorable prognosis, reduced metastatic potential, and cancer growth in various tumor types, including lung, breast, prostate, stomach, pancreas, and colon carcinoma [4,20-22]. Miyake et al. [23] demonstrated that injection of CD9-transfected melanoma cells suppressed lung metastasis in a rodent model and Ovalle et al. [16] showed that ectopic CD9 expression in a colon cancer cell line resulted in inhibition of cell growth. In addition, Mori et al. [24] stated that reduced expression of CD9 by reverse transcription polymerase chain reaction is linked to poor prognosis in colon cancer. Our data demonstrated that patients with high expression of CD9 in tumor cells (T-CD9 [+]) tended to have a longer DFS, although the difference was not statistically significant (p=.057).

However, studies have yielded controversial results about CD9 expression in non-neoplastic colorectal cells. Mori et al. [24] demonstrated that CD9 mRNA is consistently expressed in non-neoplastic colonic tissues adjacent to tumors and its expression level was higher in normal colonic tissues than in tumors in six normal/tumor paired samples using northern blot analysis. Okochi et al. [25] also showed that strong CD9 expression was detected in normal colonic epithelium by IHC. On the contrary, negative or weakly positive expression of CD9 was observed in normal colorectal epithelial cells in our study. These contradictory finding of the non-neoplastic CD9 expression may be attributed to differing experimental techniques such as northern blot analysis and IHC, as well as variation in the different types of CD9 antibodies. Furthermore, our data has limitation in this regard, because very few normal colorectal tissue samples (n=5) were included, and pairing of normal and tumor samples has not been carried out. Further investigation using extended cases of paired samples are needed for clarification.

Several mechanisms have been suggested to explain the tumor suppressant function of CD9 [4,26,27]. In conjunction with EGFR, CD9 has been shown to induce apoptosis via restricted activation of p46 Shc isoforms or the c-Jun N-terminal kinase/stress-activated protein kinase and p38 mitogen-activated protein kinase pathways. By forming a functional complex with integrin β1, CD9 suppresses cell motility and enhances cell integrity and adhesion. Furthermore, CD9 may hinder cell proliferation through internalization of EGFR, resulting in attenuation of EGF-EGFR induced signals. Notably, the protective prognostic role of T-CD9 on DFS was demonstrated in the relatively homogenous left-sided CRC group in this study with statistical significance (p=.021). However, in the right-sided tumor group, no significance of T-CD9 was observed in DFS, but this finding was considered to have limited reliability due to the small number of cases (n=89). The prognostic effect of T-CD9 is speculated to be attributed to different molecular carcinogenic mechanisms between right- and left-sided CRCs [28]. In left-sided CRCs, the majority of tumors develop through a chromosomal instability pathway known as the adenoma-carcinoma sequence. In this pathway, progression to adenoma-carcinoma from normal mucosa is established by accumulation of various genomic changes including activation of proto-oncogenes such as KRAS and inactivation of tumor suppressor genes such as APC and TP53 [29]. Meanwhile, a large proportion of tumors with microsatellite unstable (microsatellite instability–unstable) subtypes arise predominantly in the right side of the colon. They are caused by genetic and epigenetic alterations of mismatch repair genes and consequently exhibit a hypermutated phenotype. Serrated morphology tumors and CpG island methylator phenotypes are seen more frequently in right-sided tumors than in left-sided CRCs. These findings suggest that even in the same tumor, the prognostic implication of CD9 can be different depending on the underlying molecular mechanisms of carcinogenesis. Extended study is required to verify the hypothesis presented above and the location based variation of CD9 roles in tumor progression.

Tumor-infiltrating immune cells are thought to play a substantial role in shaping the microenvironment depending on various factors such as cytokines and chemokines, towards either immunostimulatory antitumor conditions or immunoregulatory tumor promoting mileu [17]. In survival analysis, I-CD9 (+) showed a tendency to be associated with a high recurrence rate in left-sided CRCs (p=.156) and this finding is contrary to the case of T-CD9. In a previous study, Erovic et al. [6] described the CD9-positive peritumoral lymphocytes in squamous cell carcinoma of the head and neck. Bruno et al. [30] demonstrated that CD9-expressing tumor-infiltrating immune cells, especially tumor-associated natural killer cells, are polarized to have pro-angiogenic and pro-tumoral phenotypes. These findings are consistent with our results regarding I-CD9. To the best of our knowledge, this is the first report to identify a differential prognostic role of CD9 expression in tumor cells and immune cells in CRCs.

Murayama et al. [4] stated that a therapeutic agent targeting tetraspanin, especially CD9, using monoclonal Abs such as ALB6 and PAIN13, might be beneficial for cancer patients. However, several researchers have suggested the contradictory finding of T-CD9 in various cancer types including multiple myeloma [31], fibrosarcoma [32], and even in gastric carcinoma [25,26], showing that CD9 expression of tumor cells has a positive influence on tumor proliferation and invasion by enhancing HB-EGF/EGFR interaction or metalloproteinases-2 secretion. In addition, our study also demonstrated an opposite effect of T-CD9 and I-CD9 on tumor progression. Therefore, future studies should focus on the varying mechanisms and the therapeutic response of I-CD9 and T-CD9 in CRCs.

In combined survival analysis of T-CD9 and I-CD9, tumors with high T-CD9 expression plus low I-CD9 expression showed a tendency to have a longer DFS compared with (1) tumors with concurrent high or low expression of T-CD9 and I-CD9, or (2) tumors with low T-CD9 expression plus high I-CD9 expression (p=.054), and a similar result was found in left-sided CRCs with statistical significance (p=.030). These findings suggested that the combined evaluation of T-CD9 and I-CD9 is required to determine the comprehensive prognostic effect of CD9 in CRCs.

In conclusion, high expression of CD9 in tumor cells tends to be inversely related to tumor recurrence, especially in left-sided CRCs. However, a different tendency on DFS was demonstrated in immune cells regardless of tumor location. Additional studies are necessary, with an emphasis on differential expression of CD9 in tumor cells and immune cells.

Acknowledgments

Fig. 1.

Immunohistochemical expression of CD9 in non-neoplastic colorectal mucosa (A) and tumor cells exhibiting intensity score 0 (B), intensity score 1 (C), and intensity score 3 (D).

Fig. 2.

Immunohistochemical expression of CD9 in immune cells in colorectal carcinomas. Representative case exhibiting score 0 (A), score 1 (B), score 2 (C), and score 3 (D).

Fig. 3.

Kaplan-Meier survival analysis with log-rank test of CD9 expression. (A) Survival curves of the T-CD9 (−) versus T-CD9 (+) in all cases. (B) Survival curves of the T-CD9 (−) versus T-CD9 (+) in left-sided tumors. (C) Survival curves of the T-CD9 (−) versus T-CD9 (+) in right-sided tumors. (D) Survival curves of the I-CD9 (−) versus I-CD9 (+) in all cases. (E) Survival curves of the I-CD9 (−) versus I-CD9 (+) in left-sided tumors. (F) Survival curves of the I-CD9 (−) versus I-CD9 (+) in right-sided tumors. T-CD9, CD9 expression in tumor cells; I-CD9, CD9 expression in immune cells.

Fig. 4.

Kaplan-Meier survival analysis with log-rank test of combined T-CD9 and I-CD9 expression. (A) Survival curves of the I versus II versus III in all cases. (B) Survival curves of the I versus II versus III in left-sided tumors. (C) Survival curves of the I versus II versus III in right-sided tumors. “I”, T-CD9 (−)/I-CD9 (+); “II”, T-CD9 (+)/I-CD9 (+) and T-CD9 (−)/I-CD9 (−); “III”, T-CD9 (+)/I-CD9 (−). T-CD9, CD9 expression in tumor cells; I-CD9, CD9 expression in immune cells.

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Figure & Data

References

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