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Article

Prognostic Impact of YKL-40 Immunohistochemical Expression in Patients with Colorectal Cancer

by
Il Hwan Oh
1,†,
Jung-Soo Pyo
2,† and
Byoung Kwan Son
1,*
1
Department of Internal Medicine, Uijeongbu Eulji Medical Center, Eulji University School of Medicine, Uijeongbu-si 11759, Korea
2
Department of Pathology, Uijeongbu Eulji Medical Center, Eulji University School of Medicine, Uijeongbu-si 11759, Korea
*
Author to whom correspondence should be addressed.
†
Il Hwan Oh and Jung-Soo Pyo have contributed equally to this study.
Curr. Oncol. 2021, 28(4), 3139-3149; https://doi.org/10.3390/curroncol28040274
Submission received: 11 July 2021 / Revised: 13 August 2021 / Accepted: 13 August 2021 / Published: 19 August 2021
(This article belongs to the Section Gastrointestinal Oncology)
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Abstract

This study aims to examine the clinicopathological and prognostic significance of the YKL-40 immunohistochemical expression of tumor and immune cells through human colorectal cancer (CRC) tissue. We performed immunohistochemistry for YKL-40 and investigated the clinicopathological and prognostic impact of the YKL-40 expression of tumor (T-YKL-40) and immune cells (I-YKL-40) in CRC. We also evaluated the correlation between YKL-40 and PD-L1 expression and the immunoscore. YKL-40 was expressed in 22.6% and 64.2% of T-YKL-40 and I-YKL-40, respectively, out of the 265 CRC tissues. The I-YKL-40 expression significantly correlated with well and moderately differentiated tumors. The PD-L1 expression in immune cells significantly correlated with the I-YKL-40 expression, but not T-YKL-40 expression (p = 0.020 and p = 0.846, respectively). The I-YKL-40 expression significantly correlated with a worse overall survival rate but not recurrence-free survival (p = 0.047 and p = 0.080, respectively). However, there was no significant correlation between the T-YKL-40 expression and survival. In CRCs with a high immunoscore, patients with I-YKL-40 expression demonstrated worse overall and recurrence-free survival than those without I-YKL-40 expression. Our results demonstrated that I-YKL-40 expression significantly correlated with tumor differentiation and PD-L1 expression in immune cells. I-YKL-40 expression can be useful for the prognostic stratification of CRC patients.

1. Introduction

Colorectal cancer (CRC) is still one of the most common tumors worldwide, although effective multimodality treatment has improved the survival rate [1]. Moreover, high heterogeneity in CRC is widely known to affect tumor progression and treatment resistance [2]. This tumor heterogeneity is driven by cell-to-cell interactions in the tumor microenvironment (TME), which consists of tumor cells, stromal tissue, and extracellular matrix components [3]. YKL-40 is a chitinase, like a glycoprotein, expressed by various cell types, such as macrophages, neutrophils, vascular smooth cells, epithelial cells, chondrocytes, and synoviocytes [4].
The correlation between YKL-40 and cancers and chronic inflammatory diseases has been reported [4]. YKL-40 is considered to play a role in cancer through the process of inflammation surrounding the tumor cells, angiogenesis, and extracellular matrix remodeling [5,6]. According to a recent meta-analysis based on 41 cohort studies with 7762 patients, a high YKL-40 serum/plasma level is correlated with a poor prognosis in patients with solid tumors [7]. Previous studies have shown that YKL-40 tissue expression may serve as a useful prognostic biomarker for solid tumors, such as glioma, ovarian cancer, breast cancer, lung cancer, urologic neoplasm, thyroid carcinoma, and gastric cancer [8,9,10,11,12,13,14].
Although in CRCs, high serum YKL-40 levels were associated with a poor prognosis [15,16], the prognostic implication of YKL-40 immunohistochemical expression in CRC tissue remains unclear. As YKL-40 is expressed in stromal components as well as tumor cells, it may be insufficient to evaluate T-YKL-40 expression alone in the clinicopathological significances of YKL-40 [4]. High tumor-infiltrating lymphocytes (TILs) correlate with favorable prognosis in CRC, and programmed death ligand-1 (PD-L1)-targeted therapy may enhance sensitivity to conventional cancer therapy [17,18]. Therefore, an investigation of the impact of YKL-40 expression in tumor cells and stromal components is required.
This study aimed to elucidate the clinicopathological and prognostic implications of YKL-40 immunohistochemical expression through human CRC tissue. We evaluated YKL-40 expression in tumor and immune (T- and I-YKL-40) cells by immunohistochemistry. The correlations between YKL-40 expression and PD-L1 and TILs were evaluated. A detailed analysis based on TILs was performed to elucidate the clinicopathological and prognostic implications of YKL-40 expression.

2. Materials and Methods

2.1. Patients

Between 1 January 2001, and 31 December 2010, 265 patients who had undergone surgical resection for CRC at the Eulji University Medical Center were enrolled in this study. We reviewed their medical charts, pathological records, and glass slides to assess the following clinicopathological characteristics: age; sex; tumor size; tumor location; tumor differentiation; vascular, lymphatic, and perineural invasion; depth of tumor; lymph node metastasis; metastatic lymph node ratio; distant metastasis; and pathologic tumor node metastasis (pTNM) stage. We evaluated these cases according to the 8th Edition of the American Joint Cancer Committee TNM classifications [19]. This protocol was reviewed and approved by the Institutional Review Board of Eulji University Hospital (Approval No. EMCS 2019-07-013). Clinical outcomes were followed from the date of surgery to either the date of death or recurrence, resulting in a follow-up period ranging from 0 to 60 months.

2.2. Tissue Array Method and Immunohistochemical Staining

Five array blocks containing a total of 265 resected colorectal cancer tissue cores obtained from the patients were prepared. Briefly, we collected tissue cores (2 mm in diameter) from individual paraffin-embedded CRC tissues (donor blocks) using a trephine and arranged them in recipient paraffin blocks, as previously described [20]. The staining results of the various intratumoral areas in these tissue-array blocks were highly consistent. We chose a core from each case for analysis. An adequate case was defined as a tumor occupying more than 10% of the core area. Each block contained internal controls consisting of non-neoplastic colon tissue.
Sections (4 μm thickness) for immunohistochemical analysis were cut from each tissue-array block, deparaffinized, and dehydrated. For antigen retrieval, we treated the sections with 0.01 M citrate buffer (pH 6.0) for 5 min in a microwave oven, followed by 3% H2O2 treatment to quench endogenous peroxidase. We treated the sections with normal serum from the host animal that produced the secondary antibody to block non-specific binding. We then incubated the sections with anti-YKL-40 (Cell Signaling Technology, Beverly, MA, USA), anti-PD-L1 (clone SP263; Ventana Medical Systems, Inc., Tucson, AZ, USA), anti-CD3 (Leica Biosystems, Newcastle Upon Tyne, UK), and anti-CD8 (Leica Biosystems) antibodies.
We carried out immunohistochemical staining following a compact polymer method using a VENTANA BenchMark XT autostainer (Ventana Medical Systems, Inc.). We performed visualization by treating the samples using an OptiView universal 3,3′-diaminobenzidine kit (Ventana Medical Systems, Inc.). We used a negative control stain without a primary antibody to confirm the reaction specificity of each antibody. We lightly counterstained all the immunostained sections with Mayer’s hematoxylin. Immunohistochemical staining for YKL-40 and PD-L1 were detected in the cytoplasm and cell membrane, respectively.
Positivity for YKL-40 was defined as moderate and strong cytoplasmic expression in any percentage of positively stained cells. The weak positivity was defined as having similar intensity with a non-specific positivity in the background. Positive expression of YKL-40 showed more intensive expression than non-specific positivity in the background. Positivity for PD-L1 was defined as membranous expression of any intensity in ≥10% of tumor or immune cells, regardless of the intensity of PD-L1 expression.

2.3. Determination of Immunoscore

To evaluate the impact of TILs, we determined the immunoscores by immunohistochemical staining for CD3 and CD8. We scanned all the immunohistochemically stained slides for CD3 and CD8 using a Pannoramic MIDI II slide scanner (3DHISTECH, Budapest, Hungary). We captured images from two regions—the core of the tumor (CT) and invasive margin (IM)—using the CaseViewer 2.0 software (3DHISTECH). CD3- and CD8-immunoreactive lymphocytes were identified from the captured images using NIH Image Analysis software (version 1.6.0; National Institutes of Health, Bethesda, Maryland, USA) after setting a consistent intensity threshold. The CD3- and CD8-immunoreactive lymphocytes were expressed as pixels in each region. Using the cut-off (median value), the pixel value of each case was classified to high (score 1) and low (score 0). Immunoscores were defined as the sum of the scores of two regions and are divided into high (score 3–4) and low (score 0–2) scores [21].

2.4. Statistical Analysis

Statistical analyses were performed using SPSS version 22.0 software (IBM Co., Chicago, IL, USA). The significance of the correlation between the YKL-40 expression and the clinicopathological characteristics was determined using the Chi-squared (χ2) test (two-sided). The comparisons between the YKL-40 expression and age, tumor size, or metastatic lymph node ratio were analyzed using the two-tailed Student’s t test. Survival curves were estimated using the Kaplan–Meier product-limit method, and differences between the survival curves were determined to be significant based on the log-rank test. In addition, the prognostic implication of YKL-40 was evaluated using the Cox regression test. The results were considered statistically significant at p < 0.05.

3. Results

3.1. Clinicopathological Significance of YKL-40 Expression in Colorectal Cancers

Representative images of YKL-40 expression in the tumor and immune cells of CRC tissues are shown in Figure 1. I-YKL-40 and T-YKL-40 were expressed in 64.2% and 22.6% of 265 CRC samples, respectively. Well and moderately differentiated tumors significantly correlated with the I-YKL-40 expression (p = 0.047), but not T-YKL-40 expression (p = 0.576). However, there was no significant correlation between YKL-40 and the other clinicopathological characteristics (Table 1).
Next, we investigated the correlation between YKL-40 and PD-L1 expression. I-YKL-40 expression significantly correlated with PD-L1 expression in immune cells (p = 0.020; Table 2). However, there was no significant correlation between the I-YKL-40 expression and PD-L1 expression in tumor cells (p = 0.673). T-YKL-40 expression was not significantly correlated with PD-L1 expression in tumor and immune cells (p = 0.240 and p = 0.846, respectively). In addition, there was no significant correlation between the I- and T-YKL-40 expression and the immunoscore (p = 0.447 and p = 0.852, respectively).

3.2. Correlation between YKL-40 Expression and Prognosis

I-YKL-40 expression significantly correlated with worse overall survival but not recurrence-free survival (p = 0.047 and p = 0.080, respectively; Figure 2). However, there was no significant correlation between the T-YKL-40 expression and survival. In subgroup analysis based on the pTNM stage, the YKL-40 expression of immune cells had the important prognostic role in stage III (overall survival; p = 0.048 and recurrence-free survival; p = 0.034), but not other stages. In the multivariate analysis, I-YKL-40 expression had significant prognostic roles (overall survival; hazard ratio 1.683, 95% CI 1.119–2.529, p = 0.012 and recurrence-free survival; hazard ratio 1.577, 95% CI 1.074–2.316, p = 0.020).
However, there was no significant difference of survival according to T-YKL-40 expression in the multivariate analysis (overall survival; p = 0.199 and recurrence-free survival; p = 0.336). In addition, in the multivariate analysis, the vascular and perineural invasion, pT stage, and distant metastasis were significantly correlated with worse prognosis.
We also analyzed the prognostic roles of YKL-40 expression in high and low immunoscore subgroups. Interestingly, patients with I-YKL-40 expression had worse overall and recurrence-free survival than patients without I-YKL-40 expression in the subgroup with high immunoscores (p = 0.008 and p = 0.042, respectively; Figure 3). In contrast, there was no significant difference in the survival between patients with and without T-YKL-40 expression in CRCs with high immunoscores. In low immunoscore subgroups, there was no significant correlation between the I- and T-YKL-40 expression and survival.

4. Discussion

In the previous studies, the prognostic impacts of YKL-40 were mainly evaluated through the serum/plasma. However, the prognostic implication of YKL-40 expression in CRC tissue is not fully understood. To the best of our knowledge, the present study is the first attempt to evaluate the clinicopathological significance of YKL-40 expression according to cell types in human CRC tissues. In addition, the prognostic impacts of YKL-40 expression according to the immunoscore were evaluated.
Compared to normal cells, YKL-40 expression is high in various malignant tumors, including colorectal, gastric, hepatocellular, pancreatic, breast, non-small cell lung, and ovarian cancers [22]. Liu et al. compared the expression of YKL-40 in tumor and adjacent normal tissues [23]. The YKL-40 expression rates were 93.33% and 46.66% in 15 colon cancer and 15 adjacent normal tissues, respectively [23]. In our study, the T-YKL-40 expression rate was 22.6%. This discrepancy of YKL-40 expression rate may be caused by different criteria of interpretation. In Liu’s report, cases with weak positivity were classified as positive cases.
In the present study, cases with weak positivity were considered to be negative, unlike in the previous study. If cases with weak positivity are considered negative, the positive expression rate is re-estimated as 60.0% and 13.3% in tumor and adjacent normal tissues, respectively [23]. Previous studies have reported that YKL-40 is expressed in the tissue of approximately 20–40% of patients with various solid tumors, which is consistent with our findings [10,14,24,25]. In the present study, we investigated YKL-40 expression in both immune and tumor cells.
To the best of our knowledge, no previous studies analyzed the expression of I-YKL-40 in CRC patients. The positive expression rate of YKL-40 in immune cells was 64.2% in CRC patients. In addition, we first investigated the correlation between I-YKL-40 expression and clinicopathological characteristics. Although the I-YKL-40 expression significantly correlated with well or moderately differentiated tumors, there was no significant correlation with other clinicopathological characteristics.
A previous meta-analysis showed that elevated circulating levels of YKL-40 were significantly related to poor survival in cancer patients [7]. Certain studies have examined the prognostic implication of YKL-40 tissue expression in patients with solid tumors, but these studies have yielded inconsistent results [8,9,10,11,12,13,14,26,27,28]. In the case of CRC, several studies have shown that elevated serum YKL-40 concentration is associated with poor prognosis [15,16,29]. Tumor cell-derived YKL-40 is closely connected to VEGF-independent tumor angiogenesis, which is a critical factor in tumor progression [25,30]. A study revealed that a blockade of YKL-40 function impeded tumor angiogenesis and progression both in vivo and in vitro [31].
They suggested that monoclonal antibodies against YKL-40 inhibited the activation of VEGF receptor 2 and intracellular signaling MAP kinase [31]. In our cases, there was a significant correlation between the I-YKL-40 expression and high microvessel density (p = 0.011; data not shown). Interestingly, it is not fully documented that the tissue expression of YKL-40 is inversely associated with clinical outcomes in patients with CRC. In a previous study, Kaplan–Meier analysis showed that the level of YKL-40 in CRC tissue correlated with overall survival [23].
However, because the positive expression rate of YKL-40 was 89.7% in tumor tissue, its prognostic role can be limited. In addition, previous studies have not addressed other tumor components, such as TILs. Our study suggests that a useful prognostic marker in patients with CRC may be I-YKL-40 expression rather than T-YKL-40 expression. In the present study, I-YKL-40 expression was significantly associated with poor overall survival in enrolled patients.
The immunoscore is introduced as a prognostic tool based on CD3- and CD8-immunoreactive lymphocytes at the core of the tumor and invasive margin [32,33]. In our previous study, a high immunoscore was significantly associated with better survival in patients with CRC [34]. The role of YKL-40 in TILs and their clinical implications has not yet been fully elucidated. In vivo, YKL-40 is expressed in activated T cells and regulates IFNγ sensitivity in Th1 and cytotoxic T-lymphocytes [35]. YKL-40 can attenuate T-cell activation and tumor growth. However, YKL-40 was associated with the suppression of TILs. Therefore, the correlation between YKL-40 expression and TILs may be important in the interpretation of the clinicopathological significance of YKL-40.
We investigated the correlation between I-YKL-40 and prognosis according to the immunoscore. Interestingly, our study demonstrated that I-YKL-40 might be an important factor for stratifying CRC patients with high immunoscores. Neither T-YKL -40 nor I-YKL-40 expression correlated with the immunoscore, whereas higher I-YKL-40 expression, but not T-YKL-40, significantly correlated with a poor prognosis in CRC patients with high immunoscores. Our results suggest that prognostic stratification with YKL-40 and TILs may be applied to minimizing the effects of tumor heterogeneity in CRCs.
YKL-40 has been a promising therapeutic target in cancers [31,36]. An in vitro study found that theophylline had a suppressive effect on human rectal cancer cells by inhibiting YKL-40 expression [24]. An in vivo study revealed that a neutralizing antibody against YKL-40 inhibited tumor growth, angiogenesis, and progression in xenograft models [31]. A recent study showed that a high expression of YKL-40 could sensitize tumor cells to an anti-angiogenic drug (cetuximab) in patients with CRC [23]. In addition, our study demonstrated a significant correlation between I-YKL-40 and PD-L1 expression, which may provide novel therapeutic strategies for CRC treatment.
A recent meta-analysis revealed that high expression of PD-L1 was significantly correlated with a poor prognosis of patients with CRC [37]. PD-L1 targeted therapy had a major advantage of increasing the sensitivity to conventional cancer therapies [17]. Previous studies suggested that the simultaneous administration of anti-YKL-40 and anti-PD-1 antibodies showed antitumor effects in vivo and in vitro [38,39,40]. Although the direct correlation between YKL-40 and PD-L1 expressions is unclear, we expect that a combination of anti-YKL-40 and anti PD-L1 antibodies may enhance the potential of immunotherapies and sensitivity to anti-angiogenic therapies in CRCs.

5. Conclusions

In conclusion, I-YKL-40 expression is significantly correlated with tumor differentiation and I-PD-L1 in CRCs. In addition, there was a significant correlation between poor survival outcome and I-YKL-40 expression, but not T-YKL-40 expression, in CRC patients with a high immunoscores. I-YKL-40, but not T-YKL-40, could be considered a useful predictor of poor prognosis in CRC for the stratification of patients with high immunoscores.

Author Contributions

Conceptualization, B.K.S. and I.H.O.; methodology, J.-S.P.; software, J.-S.P.; validation, B.K.S., J.-S.P., and I.H.O.; formal analysis, J.-S.P.; investigation, I.H.O.; resources, B.K.S.; data curation, J.-S.P.; writing—original draft preparation, I.H.O.; writing—review and editing, J.-S.P. and B.K.S.; supervision, B.K.S.; project administration, B.K.S., J.-S.P., and I.H.O.; funding acquisition, B.K.S. All authors have read and agreed to the published version of the manuscript.

Funding

This research was funded by Eulji University, grant number 2019EMBRISN0004.

Institutional Review Board Statement

This study was conducted according to the guidelines of the Declaration of Helsinki, and approved by the Institutional Review Board of the Eulji University Hospital (Approval No. EMC 2020-09-011).

Informed Consent Statement

Not applicable.

Data Availability Statement

No new data were created or analyzed in this study. Data sharing is not applicable to this article.

Conflicts of Interest

The authors declare no conflict of interest.

References

  1. Zhang, G.Q.; Taylor, J.P.; Stem, M.; Almaazmi, H.; Efron, J.E.; Atallah, C.; Safa, B. Aggressive Multimodal Treatment and Metastatic Colorectal Cancer Survival. J. Am. Coll. Surg. 2020, 230, 689–698. [Google Scholar] [CrossRef] [Scilit]
  2. Molinari, C.; Marisi, G.; Passardi, A.; Matteucci, L.; De Maio, G.; Ulivi, P. Heterogeneity in Colorectal Cancer: A Challenge for Personalized Medicine? Int. J. Mol. Sci. 2018, 19, 3733. [Google Scholar] [CrossRef] [Scilit]
  3. Junttila, M.R.; de Sauvage, F.J. Influence of tumour micro-environment heterogeneity on therapeutic response. Nature 2013, 501, 346–354. [Google Scholar] [CrossRef] [Scilit]
  4. Libreros, S.; Garcia-Areas, R.; Iragavarapu-Charyulu, V. CHI3L1 plays a role in cancer through enhanced production of pro-inflammatory/pro-tumorigenic and angiogenic factors. Immunol. Res. 2013, 57, 99–105. [Google Scholar] [CrossRef] [Scilit] [PubMed]
  5. Libreros, S.; Iragavarapu-Charyulu, V. YKL-40/CHI3L1 drives inflammation on the road of tumor progression. J. Leukoc. Biol. 2015, 98, 931–936. [Google Scholar] [CrossRef] [Scilit] [PubMed]
  6. Shao, R. YKL-40 acts as an angiogenic factor to promote tumor angiogenesis. Front. Physiol. 2013, 4, 122. [Google Scholar] [CrossRef] [Scilit] [PubMed]
  7. Bian, B.; Li, L.; Yang, J.; Liu, Y.; Xie, G.; Zheng, Y.; Zeng, L.; Zeng, J.; Shen, L. Prognostic value of YKL-40 in solid tumors: A meta-analysis of 41 cohort studies. Cancer Cell Int. 2019, 19, 259. [Google Scholar] [CrossRef] [Scilit] [PubMed]
  8. Bi, J.; Lau, S.H.; Lv, Z.L.; Xie, D.; Li, W.; Lai, Y.R.; Zhong, J.M.; Wu, H.Q.; Su, Q.; He, Y.L.; et al. Overexpression of YKL-40 is an independent prognostic marker in gastric cancer. Hum. Pathol. 2009, 40, 1790–1797. [Google Scholar] [CrossRef] [Scilit] [PubMed]
  9. Chiang, Y.C.; Lin, H.W.; Chang, C.F.; Chang, M.C.; Fu, C.F.; Chen, T.C.; Hsieh, S.F.; Chen, C.A.; Cheng, W.F. Overexpression of CHI3L1 is associated with chemoresistance and poor outcome of epithelial ovarian carcinoma. Oncotarget 2015, 6, 39740–39755. [Google Scholar] [CrossRef] [Scilit]
  10. Kim, S.H.; Das, K.; Noreen, S.; Coffman, F.; Hameed, M. Prognostic implications of immunohistochemically detected YKL-40 expression in breast cancer. World J. Surg. Oncol. 2007, 5, 17. [Google Scholar] [CrossRef] [Scilit]
  11. Luo, D.; Chen, H.; Lu, P.; Li, X.; Long, M.; Peng, X.; Huang, M.; Huang, K.; Lin, S.; Tan, L.; et al. CHI3L1 overexpression is associated with metastasis and is an indicator of poor prognosis in papillary thyroid carcinoma. Cancer Biomark. 2017, 18, 273–284. [Google Scholar] [CrossRef] [Scilit] [PubMed]
  12. Steponaitis, G.; Skiriute, D.; Kazlauskas, A.; Golubickaite, I.; Stakaitis, R.; Tamasauskas, A.; Vaitkene, P. High CHI3L1 expression is associated with glioma patient survival. Diagn. Pathol. 2016, 11, 42. [Google Scholar] [CrossRef] [Scilit] [PubMed]
  13. Wang, X.W.; Cai, C.L.; Xu, J.M.; Jin, H.; Xu, Z.Y. Increased expression of chitinase 3-like 1 is a prognosis marker for non-small cell lung cancer correlated with tumor angiogenesis. Tumour Biol. 2015, 36, 901–907. [Google Scholar] [CrossRef] [Scilit]
  14. Zhang, J.P.; Yuan, H.X.; Kong, W.T.; Liu, Y.; Lin, Z.M.; Wangs, W.P.; Guo, J.M. Increased expression of Chitinase 3-like 1 and microvessel density predicts metastasis and poor prognosis in clear cell renal cell carcinoma. Tumour Biol. 2014, 35, 12131–12137. [Google Scholar] [CrossRef] [Scilit]
  15. Cintin, C.; Johansen, J.S.; Christensen, I.J.; Price, P.A.; Sørensen, S.; Nielsen, H.J. Serum YKL-40 and colorectal cancer. Br. J. Cancer 1999, 79, 1494–1499. [Google Scholar] [CrossRef] [Scilit] [PubMed]
  16. Johansen, J.S.; Christensen, I.J.; Jørgensen, L.N.; Olsen, J.; Rahr, H.B.; Nielsen, K.T.; Laurberg, S.; Brunner, N.; Nielsen, H.J. Serum YKL-40 in risk assessment for colorectal cancer: A prospective study of 4496 subjects at risk of colorectal cancer. Cancer Epidemiol. Biomark. Prev. 2015, 24, 621–626. [Google Scholar] [CrossRef] [Scilit] [PubMed]
  17. Aspeslagh, S.; Matias, M.; Palomar, V.; Dercle, L.; Lanoy, E.; Soria, J.C.; Posterl-Vinay, S. In the immuno-oncology era, is anti-PD-1 or anti-PD-L1 immunotherapy modifying the sensitivity to conventional cancer therapies? Eur. J. Cancer 2017, 87, 65–74. [Google Scholar] [CrossRef] [Scilit]
  18. Idos, G.E.; Kwok, J.; Bonthala, N.; Kysh, L.; Gruber, S.B.; Qu, C. The Prognostic Implications of Tumor Infiltrating Lymphocytes in Colorectal Cancer: A Systematic Review and Meta-Analysis. Sci. Rep. 2020, 10, 3360. [Google Scholar] [CrossRef] [Scilit]
  19. Amin, M.B.; Edge, S.B.; Greene, F.L.; Gershenwald, J.E.; Brookland, R.K.; Meyer, L.; Gress, D.M.; Byrd, D.R.; Winchester, D.P. The AJCC Cancer Staging Manual, 8th ed.; Springer: New York, NY, USA, 2016. [Google Scholar]
  20. Pyo, J.S.; Ko, Y.S.; Kang, G.; Kim, D.H.; Kim, W.H.; Lee, B.L.; Sohn, J.H. Bile acid induces MUC2 expression and inhibits tumor invasion in gastric carcinomas. J. Cancer Res. Clin. Oncol. 2015, 141, 1181–1188. [Google Scholar] [CrossRef] [Scilit]
  21. Pyo, J.S.; Park, M.J.; Kim, C.N. TPL2 expression is correlated with distant metastasis and poor prognosis in colorectal cancer. Hum. Pathol. 2018, 79, 50–56. [Google Scholar] [CrossRef] [Scilit]
  22. Schultz, N.A.; Johansen, J.S. YKL-40-A Protein in the Field of Translational Medicine: A Role as a Biomarker in Cancer Patients? Cancers 2010, 2, 1453–1491. [Google Scholar] [CrossRef] [Scilit]
  23. Liu, K.; Jin, M.; Ye, S.; Yan, S. CHI3L1 promotes proliferation and improves sensitivity to cetuximab in colon cancer cells by down-regulating p53. J. Clin. Lab. Anal. 2020, 34, e23026. [Google Scholar] [CrossRef] [Scilit]
  24. Peng, H.; Su, Q.; Lin, Z.C.; Zhu, X.H.; Peng, M.S.; Lv, Z.B. Potential suppressive effects of theophylline on human rectal cancer SW480 cells in vitro by inhibiting YKL-40 expression. Oncol. Lett. 2018, 15, 7403–7408. [Google Scholar] [CrossRef] [Scilit] [PubMed]
  25. Shao, R.; Cao, Q.J.; Arenas, R.B.; Bigelow, C.; Bentley, B.; Yan, W. Breast cancer expression of YKL-40 correlates with tumour grade, poor differentiation, and other cancer markers. Br. J. Cancer 2011, 105, 1203–1209. [Google Scholar] [CrossRef] [Scilit] [PubMed]
  26. Høgdall, E.V.; Ringsholt, M.; Høgdall, C.K.; Christensen, I.J.; Johansen, J.S.; Kjaer, S.K.; Blaakaer, J.; Ostenfeld-Møller, L.; Price, P.A.; Christensen, L.H. YKL-40 tissue expression and plasma levels in patients with ovarian cancer. BMC Cancer 2009, 9, 8. [Google Scholar] [CrossRef] [Scilit] [PubMed]
  27. Kang, E.J.; Jung, H.; Woo, O.H.; Park, K.H.; Woo, S.U.; Yang, D.S.; Kim, A.R.; Lee, J.B.; Kim, Y.H.; Kim, J.S.; et al. YKL-40 expression could be a poor prognostic marker in the breast cancer tissue. Tumour Biol. 2014, 35, 277–286. [Google Scholar] [CrossRef] [Scilit]
  28. Roslind, A.; Knoop, A.S.; Jensen, M.B.; Johansen, J.S.; Nielsen, D.; Price, P.A.; Balslev, E. YKL-40 protein expression is not a prognostic marker in patients with primary breast cancer. Breast Cancer Res. Treat. 2008, 112, 275–285. [Google Scholar] [CrossRef] [Scilit]
  29. Tarpgaard, L.S.; Guren, T.K.; Glimelius, B.; Christensen, I.J.; Pfeiffer, P.; Kure, E.H.; Sorbye, H.; Ikdahl, T.; Yilmaz, M.; Johansen, J.S.; et al. Plasma YKL-40 in patients with metastatic colorectal cancer treated with first line oxaliplatin-based regimen with or without cetuximab: Results from the NORDIC VII Study. PLoS ONE 2014, 9, e87746. [Google Scholar]
  30. Rajabi, M.; Mousa, S.A. The Role of Angiogenesis in Cancer Treatment. Biomedicines 2017, 5, 34. [Google Scholar] [CrossRef] [Scilit]
  31. Faibish, M.; Francescone, R.; Bentley, B.; Yan, W.; Shao, R. A YKL-40-neutralizing antibody blocks tumor angiogenesis and progression: A potential therapeutic agent in cancers. Mol. Cancer Ther. 2011, 10, 742–751. [Google Scholar] [CrossRef] [Scilit]
  32. Galon, J.; Mlecnik, B.; Bindea, G.; Angell, H.K.; Berger, A.; Lagorce, C.; Lugli, A.; Zlobec, I.; Hartmann, A.; Bifulco, C.; et al. Towards the introduction of the ‘Immunoscore’ in the classification of malignant tumours. J. Pathol. 2014, 232, 199–209. [Google Scholar] [CrossRef] [Scilit]
  33. Galon, J.; Pagès, F.; Marincola, F.M.; Angell, H.K.; Thurin, M.; Lugli, A.; Zlobec, I.; Berger, A.; Bifulco, C.; Botti, G.; et al. Cancer classification using the Immunoscore: A worldwide task force. J. Transl. Med. 2012, 10, 205. [Google Scholar] [CrossRef] [Scilit] [PubMed]
  34. Ko, Y.S.; Pyo, J.S. Clinicopathological significance and prognostic role of tumor-infiltrating lymphocytes in colorectal cancer. Int. J. Biol. Markers 2019, 34, 132–138. [Google Scholar] [CrossRef] [Scilit]
  35. Kim, D.H.; Park, H.J.; Lim, S.; Koo, J.H.; Lee, H.G.; Choi, J.O.; Oh, J.H.; Ha, S.J.; Kang, M.J.; Lee, C.M.; et al. Regulation of chitinase-3-like-1 in T cell elicits Th1 and cytotoxic responses to inhibit lung metastasis. Nat. Commun. 2018, 9, 503. [Google Scholar] [CrossRef] [Scilit] [PubMed]
  36. Johansen, J.S.; Jensen, B.V.; Roslind, A.; Price, P.A. Is YKL-40 a new therapeutic target in cancer? Expert Opin. Ther. Targets 2007, 11, 219–234. [Google Scholar] [CrossRef] [Scilit]
  37. Shen, Z.; Gu, L.; Mao, D.; Chen, M.; Jin, R. Clinicopathological and prognostic significance of PD-L1 expression in colorectal cancer: A systematic review and meta-analysis. World J. Surg. Oncol. 2019, 17, 4. [Google Scholar] [CrossRef] [Scilit] [PubMed]
  38. Nguyen, L.T.; Ohashi, P.S. Clinical blockade of PD1 and LAG3-potential mechanisms of action. Nat. Rev. Immunol. 2015, 15, 45–46. [Google Scholar] [CrossRef] [Scilit]
  39. Herbst, R.S.; Soria, J.C.; Kowanetz, M.; Fine, G.D.; Hamid, O.; Gordon, M.S.; Sosman, J.A.; McDermott, D.F.; Powderly, J.D.; Gettinger, S.N.; et al. Predictive correlates of response to the anti-PD-L1 antibody MPDL3280A in cancer patients. Nature 2014, 515, 563–567. [Google Scholar] [CrossRef] [Scilit]
  40. Yang, X.; Fang, D.; Li, M.; Chen, J.; Cheng, Y.; Luo, J. Knockdown of Chitinase 3-Like-1 Inhibits Cell Proliferation, Promotes Apoptosis, and Enhances Effect of Anti-Programmed Death Ligand 1 (PD-L1) in Diffuse Large B Cell Lymphoma Cells. Med. Sci. Monit. 2021, 27, e929431. [Google Scholar] [CrossRef] [Scilit]
Curroncol 28 00274 g001
Figure 1. Representative immunohistochemical staining images of YKL-40. (A,C) Positive and negative YKL-40 expression in tumor cells. (B,D) Positive and negative YKL-40 expression in immune cells (×400).
Figure 1. Representative immunohistochemical staining images of YKL-40. (A,C) Positive and negative YKL-40 expression in tumor cells. (B,D) Positive and negative YKL-40 expression in immune cells (×400).
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Figure 2. Kaplan–Meier analysis of patient survival according to YKL-40 expression in overall cases. (A) Overall survival according to YKL-40 expression in immune cells. (B) Overall survival according to YKL-40 expression in tumor cells. (C) Recurrence-free survival according to YKL-40 expression in immune cells. (D) Recurrence-free survival according to YKL-40 expression in tumor cells.
Figure 2. Kaplan–Meier analysis of patient survival according to YKL-40 expression in overall cases. (A) Overall survival according to YKL-40 expression in immune cells. (B) Overall survival according to YKL-40 expression in tumor cells. (C) Recurrence-free survival according to YKL-40 expression in immune cells. (D) Recurrence-free survival according to YKL-40 expression in tumor cells.
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Figure 3. Kaplan–Meier analysis of patient survival according to YKL-40 expression in colorectal cancer cells of patients with high immunoscores. (A) Overall survival according to YKL-40 expression in immune cells. (B) Overall survival according to YKL-40 expression in tumor cells. (C) Recurrence-free survival according to YKL-40 expression in immune cells. (D) Recurrence-free survival according to YKL-40 expression in tumor cells.
Figure 3. Kaplan–Meier analysis of patient survival according to YKL-40 expression in colorectal cancer cells of patients with high immunoscores. (A) Overall survival according to YKL-40 expression in immune cells. (B) Overall survival according to YKL-40 expression in tumor cells. (C) Recurrence-free survival according to YKL-40 expression in immune cells. (D) Recurrence-free survival according to YKL-40 expression in tumor cells.
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Table 1. Correlation between YKL-40 expression and clinicopathological parameters in colorectal cancers.
Table 1. Correlation between YKL-40 expression and clinicopathological parameters in colorectal cancers.
YKL-40 Expression in Immune Cellsp-Value YKL-40 Expression in Tumor Cellsp-Value
PositiveNegativePositiveNegative
Total (n = 265) 170 (64.2)95 (35.8) 60 (22.6)205 (77.4)
Age (years)62.71 ± 13.0365.02 ± 12.630.16263.85 ± 11.7163.44 ± 13.270.831
Sex 0.615 0.694
Male84 (62.7)50 (37.3)29 (21.6)105 (78.4)
Female 86 (65.6)45 (45.8)31 (23.7)100 (76.3)
Tumor size 1 0.764
≤5 cm68 (64.2)38 (35.8)25 (23.6)81 (76.4)
>5 cm102 (64.2)57 (35.8)35 (22.0)124 (78.0)
Tumor size (cm)5.48 ± 2.075.42 ± 2.100.845.52 ± 2.045.45 ± 2.100.815
Location of tumor 0.292 0.375
Right colon78 (60.9)50 (39.1)32 (25.0)96 (75.0)
Left colon and rectum92 (67.2)45 (32.8)28 (20.4)109 (79.6)
Tumor differentiation 0.047 0.576
Well or Moderate141 (67.1)69 (32.9)46 (21.9)164 (78.1)
Poorly29 (52.7)26 (47.3)14 (25.5)41 (74.5)
Vascular invasion 0.285 0.824
Present13 (54.2)11 (45.8)5 (20.8)19 (79.2)
Absent157 (65.1)84 (34.9)55 (22.8)186 (77.2)
Lymphatic invasion 0.086 0.96
Present39 (55.7)31 (44.3)16 (22.9)54 (77.1)
Absent131 (67.2)64 (32.8)44 (22.6)151 (77.4)
Perineural invasion 0.443 0.243
Present26 (59.1)18 (40.9)7 (15.9)37 (84.1)
Absent144 (65.2)77 (34.8)53 (24.0)168 (76.0)
pT stage 0.339 0.131
pT1-229 (70.7)12 (29.3)13 (31.7)28 (68.3)
pT3-4141 (62.9)83 (37.1)47 (21.0)177 (79.0)
Lymph node metastasis 0.801 0.219
Present94 (64.8)51 (35.2)37 (25.5)108 (74.5)
Absent76 (63.3)44 (36.7)23 (19.2)97 (80.8)
Distant metastasis 0.059 0.79
Present14 (48.3)13 (51.7)6 (20.7)23 (79.3)
Absent156 (66.1)80 (33.9)54 (22.9)182 (77.1)
pTNM stage 0.953 0.368
I-II74 (64.3)41 (35.7)23 (24.7)113 (75.3)
III-IV96 (64.0)54 (36.0)37 (20.0)92 (80.0)
Numbers in parentheses represent percentage; pT, pathologic tumor; and pTNM, pathologic tumor node metastasis.
Table 2. Correlation between YKL-40 expression and various parameters in colorectal cancers.
Table 2. Correlation between YKL-40 expression and various parameters in colorectal cancers.
YKL-40 Expression in Immune Cellsp-ValueYKL-40 Expression in Tumor Cellsp-Value
PositiveNegativePositiveNegative
PD-L1 in tumor cells
  Positive17 (68.0)8 (32.0)0.6738 (31.0)17 (68.0)0.240
  Negative153 (63.7)87 (36.3) 52 (41.9)188 (78.3)
PD-L1 in immune cells
  Positive37 (78.7)10 (21.3)0.02010 (21.3)37 (78.7)0.846
  Negative132 (60.8)85 (39.2) 49 (22.6)168 (77.4)
Immunoscore
High (score 3–4)70 (64.8)38 (28.8)0.85227 (28.4)81 (75.0)0.447
Low (score 0–2)100 (63.7)57 (43.8) 33 (19.4)124 (79.0)
Numbers in parentheses represent the percentage; PD-L1, programmed death-ligand 1.
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Oh, I.H.; Pyo, J.-S.; Son, B.K. Prognostic Impact of YKL-40 Immunohistochemical Expression in Patients with Colorectal Cancer. Curr. Oncol. 2021, 28, 3139-3149. https://doi.org/10.3390/curroncol28040274

AMA Style

Oh IH, Pyo J-S, Son BK. Prognostic Impact of YKL-40 Immunohistochemical Expression in Patients with Colorectal Cancer. Current Oncology. 2021; 28(4):3139-3149. https://doi.org/10.3390/curroncol28040274

Chicago/Turabian Style

Oh, Il Hwan, Jung-Soo Pyo, and Byoung Kwan Son. 2021. "Prognostic Impact of YKL-40 Immunohistochemical Expression in Patients with Colorectal Cancer" Current Oncology 28, no. 4: 3139-3149. https://doi.org/10.3390/curroncol28040274

APA Style

Oh, I. H., Pyo, J.-S., & Son, B. K. (2021). Prognostic Impact of YKL-40 Immunohistochemical Expression in Patients with Colorectal Cancer. Current Oncology, 28(4), 3139-3149. https://doi.org/10.3390/curroncol28040274

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