J Cancer 2020; 11(21):6248-6255. doi:10.7150/jca.47106

Research Paper

IL36 indicating good prognosis in human Hepatocellular Carcinoma

Miao Hu1#, Ying Tong2#, Haisheng Fang3#, Jie Tang1, Lang Liu4, Yanni Hu1, Jingze Li4, Lan Zhong1 Corresponding address

1. Department of Gastroenterology, Shanghai East Hospital, Tongji University School of Medicine, Shanghai, China, No.150 Jimo Road, Pudong New Area, Shanghai, China.
2. Clinical Laboratory, Cancer Hospital of Fudan University, Fudan University, Shanghai, China, No 270 Dong 'an road, Shanghai, China.
3. Department of pathology, First Affiliated Hospital of Nanjing Medical University, Nanjing, China, No 300 Guangzhou road, Nanjing, China.
4. Center of Digestive Endoscopy, Shanghai East Hospital, Tongji University School of Medicine, Shanghai, China, No.150 Jimo Road, Pudong New Area, Shanghai, China.
#Co-first authors with equal contributions to this work.

This is an open access article distributed under the terms of the Creative Commons Attribution License (https://creativecommons.org/licenses/by/4.0/). See http://ivyspring.com/terms for full terms and conditions.
Citation:
Hu M, Tong Y, Fang H, Tang J, Liu L, Hu Y, Li J, Zhong L. IL36 indicating good prognosis in human Hepatocellular Carcinoma. J Cancer 2020; 11(21):6248-6255. doi:10.7150/jca.47106. Available from http://www.jcancer.org/v11p6248.htm

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Abstract

Background and Aim: Hepatocellular carcinoma (HCC) is the leading cause of cancer death in men before the age of 60 years in China. Interleukin (IL)36 played important roles in antitumor immune responses, but its role in HCC is still unknown. We aimed to explore the correlation between IL36 and prognosis of HCC patients.

Methods: The expression of IL36 was measured by Immunohistochemistry (IHC), serum Enzyme-linked Immunosorbent Assay (ELISA) and flow cytometry (FCM). Chi-square test was performed to analyze the relationship between IL36 expression and clinical parameters of HCC patients. The correlation between IL36 expression and prognosis of HCC patients was evaluated by Kaplan-Meier method and Cox regression analysis.

Results: The IL36 expression in HCC tumor samples was lower than that in paired peri-tumor samples; the analyses suggested that there was no correlation between IL36 expression and age, gender, and tumor size, but tight relationship between IL36 expression and liver cirrhosis, metastasis and some other clinical parameters. The results of Kaplan-Meier analysis indicated positive expression of IL36 could induce high survival rate of patients. The detection of IL36 with ELISA suggested that expression of IL36 in serum was the highest in patients of HCC, other than the chronic hepatitis patients and the healthy. The result of FCM suggested the expression of IL36 was higher in CD4+ T cells than other immune cells.

Conclusions: There is a close relationship between the expression of IL36 and the prognosis of HCC, higher expression of IL36 suggested better prognosis and longer survival of HCC.

Keywords: Hepatocellular carcinoma (HCC), biomarker, interleukin 36 (IL36), prognosis

Introduction

Based on the data of International Agency for Research on Cancer, more than 750,000 new liver cancer cases and 695,900 cancer deaths occurred all over the world every year [1]. It is the second largest cause of liver-related deaths in the Asia-Pacific region, which accounted for 43.6% of all liver-related deaths in the region [2]. In China, HCC is the most commonly diagnosed cancer and the leading cause of cancer death in men before the age of 60 years. According to the WHO's 2015 Global Health Estimates (GHE) dataset, chronic hepatitis B infection accounted for the most part of all deaths due to liver cancer (53%), whereas hepatitis C accounted for 6% of such deaths [2], so it is universally accepted that HBV infection is the prodromal stage of most HCC in China. Generally, HCC has a poor prognosis with relatively low 5-year survival rates (approximately 10%) [3]. In HCC, frequent tumor metastasis and high relapse rates are the major causes of high mortality, and many patients with HCC have not been diagnosed until the disease is in its advanced stages and is no longer treatable. This status is ascribed to 3 key factors: the lack of early diagnosis; the deteriorated condition of the cirrhotic liver from which most HCC cases develop; and the high resistance of HCC to chemotherapy [4]. The most commonly used biomarker in HCC is alpa-feta protein (AFP), but the early diagnosis of HCC still remains a crucial issue currently due to the low sensibility or specificity limitation of AFP [5-7]. As a result, it is still desperately needed to find more sensitive biomarker for HCC early detection, and early predicting the prognosis of HCC.

Interleukin (IL)36 is a group of cytokines in the IL1 family with inflammatory effect. It includes three separate molecules, IL36α, IL36β, and IL36γ, also known as IL-1F6, IL-1F8, and IL-1F9, respectively [8]. These cytokines share the same receptor, IL36R (also known as IL-1Rrp2 or IL-1RL2) and IL-1RAcP [9]. IL36 has been demonstrated as a pivotal mediator of skin inflammation and could induce the expression of some pro-inflammatory cytokines such as IL12, IL23, IL22, IL-36R signaling is also essential for the development of psoriasiform dermatitis in response to environmental cues such as Imiquimod through the pathogenic IL-23/IL-17/IL-22 axis [10]. Recent data suggests that IL-36 can promote CD4+ T cell-mediated type 1 immune responses, and IL-36R signaling is involved in Th1 immune responses against mycobacterium bovis BCG in vivo [11]. Furthermore, it was recently reported that IL36 played important roles in promoting antitumor immune responses [12, 13] and could be a promising candidate for assessing the prognosis of antitumor treatment [9]; however, its role in predicting the prognosis of human HCC is unknown.

In our study, we aimed to detect the expression of IL36 in different patients, and investigate its association with the prognosis and clinical features of HCC.

Methods and Materials

Patients and specimens

A total of 150 HCC patients, 14 HBV chronic hepatitis patients and 20 healthy persons for controls were all treated in Shanghai East Hospital from 2009 to 2013. Surgical specimens of cancerous tissue, paired adjacent peri-tumor tissue were obtained from all HCC cases, in accordance with the Ethics Committee of Shanghai East Hospital after obtaining an informed consent. Patients' data on gender, age, tumor size, presence of metastasis, with or without liver cirrhosis/HBV infection, TNM stage, Child-Pugh stage, serum AFP level were collected. The sample included 64 men and 86 women, with a mean age of 46 years, range 37-74 years (median 59 years, mean 58.2 years in women; median 49.5 years, mean 49.5 years in men). None of these patients experienced any preoperative anti-tumor therapy. The detailed clinic pathological characteristics are summarized in Table 2. All tissue samples were incubated in RNA Later (Ambion, Austin, Texas, USA) at 4°C for 24 hours and stored at -80°C until RNA extraction.

Immunohistochemistry (IHC)

In brief, formalin-fixed, paraffin-embedded tissue sections were dewaxed and the antigens retrieved. The primary antibody against IL36 (Proteintech, 21255-AP, USA) was diluted 1:40. Secondary anti-mouse antibodies were applied on slides for 15min at room temperature followed by diaminobenzidine and hematoxylin treatment. PBS was used in the same manner as a substitute for the primary antibody and used as negative control. Photographs of two representative fields were captured under high-power magnification (× 400), and identical settings were used for each photograph. The representative fields were defined as follows: If there were both high-expression and low-expression areas at × 100 magnification; then an image was captured at × 400 magnification which contained both a high-expression and low-expression area. Image-Pro Plus v6.0 software was used to count and measure integrated optical density (IOD), and mean IOD was calculated from two photographs per patient. X-tile plots were created for assessment of IL-36 expression, and optimization of cut-off points were based on the outcome of IOD value [14]. Statistical significance was assessed using the cut-off score derived from 150 cases by a standard log-rank method, with p values obtained from a lookup table.

Enzyme-linked immunosorbent assay (ELISA)

Blood sampling (3 ml) was carried out through vein puncture in 5AM to 6AM. After the serum was separated by centrifugation (1000 g, 5 min), all samples were kept in -80°C refrigerator until the time of assay. The concentrations of IL36 in serum was evaluated using ELISA by human Interleukin 36 Gamma/IL1F9 (IL36G) Kit (Abbexa, abx253593, UK).

Flow cytometry (FCM)

Human peripheral blood mononuclear cells (PBMCs) were isolated from blood of healthy controls, chronic hepatitis B and HCC patients by Ficoll-Paque Plus (Sigma-Aldrich, USA) density-gradient centrifugation. For surface staining, PBMCs were labelled with the indicated human antibodies (CD4-PerCP-Cy5.5, 560650, BD bioscience USA) (CD8- APC-Cy7,557834, BD bioscience, USA) and human IL36 antibody (IL36-APC, NBP2-71834, Novus, Switzerland) in FACS buffer (2.5 ml PBS, 50 ml newborn calf serum and 0.5 g NaN3) for 30 min at 4°C avoiding light, then The samples were washed with cold FACS buffer and detected by flow cytometry (FCM) (Beckman, CytoFLEX, USA).

Follow-up: all the patients were prospectively followed after surgery according to a formulated schedule (refer to Barcelona-Clinic Liver Cancer Group staging (BCLC staging). Follow-up schedule was once every 3 months for the first 2 years, then once every 6 months for the next 3 years, and finally once a year. The follow-up time ranged from 8 months to 61 months (median, 27.3 months). At reference date (May 30, 2018), surviving patients were censored at their last consultation, and non-surviving patients were censored at their death date. Overall survival time was calculated from the date of the initial surgical operation to death.

Statistical analysis

Statistical calculations were performed using SPSS18.0 software (SPSS Inc, USA). Differences between groups were estimated using Student's t test. Chi-squared test, Kaplan-Meier and Cox regression analysis were conducted to evaluate the correlations between groups and subgroups. Differences were considered significant if P<0.05.

Results

Expression of IL36 in HCC tissues and paired peri-tumor (normal) tissues positive staining of IL36 displayed mainly in the cytoplasm (Figure 1) by immunohistochemical staining. In the tumor tissues, IL36 expression was positive in only 42 (28%) of 150 HCC specimens while in paired adjacent peri-tumor tissues, 132 cases (85%) were positive (Figure 1, Table 1). This suggested that the expression of IL36 in HCC was significantly lower in tumor tissues than that in the adjacent peri-tumor (normal) tissues (P<0.05).

 Table 1 

Different expression level of IL36 in HCC tissues and peritumor tissues

Expression of IL36 protein
TissueCase NOPositiveNegativePositive rate
HCC1504210828%
Normal1501272385%

Correlation of IL36 expression with prognosis of HCC patients

Patients were divided into two cohorts randomly: the primary cohort (n=100) and the validation cohort (n=50). The correlation between IL36 expression and survival or recurrence of HCC patients was analyzed with Kaplan-Meier analysis. As shown in Figure 2A, HCC patients in the primary cohort with negative IL-36 expression had much shorter OS times, (mean OS 22 months vs 55 months, HR: 4.879, 95% CI: 3.03-7.86), while positive expression of IL-36 in HCC tissues had a lower tendency of disease recurrence (mean TTR 18 months vs 22 months; HR: 1.66, 95%CI: 1.05-2.63) (Figure 2B). Likewise, Figure 2C showed HCC patients in validation cohort with negative expression of IL36 had much shorter OS times (mean OS 23 months vs. 46 months, HR=2.43,95%CI (1.19-4.97)), and Figure 2D suggested a higher tendency of disease recurrence (mean TTR 16 months vs 58 months, HR=2.81,95%CI (1.37-5.74)) in HCC patients with negative IL36 expression in validation cohort. The association between IL-36 expression and OS/TTR was also analyzed in all 150 HCC patients, including both the primary cohort and validation cohort. The results showed that patients with negative IL-36 expression in HCC tissues had much shorter OS times (mean OS 22 months vs 53 months, HR: 3.56, 95% CI: 2.42-5.24 Figure 2E) and a higher tendency of disease recurrence (mean TTR 17 months vs. 27 months, HR: 2.33, 95%CI: 1.58-3.44, Figure 2F).

 Figure 1 

The IHC staining of IL36 in human HCC tumor tissues and peri-tumor tissues

J Cancer Image (Click on the image to enlarge.)

Correlation between IL-36 expression and clinical pathological features

We investigated the relationship between the expression of IL-36 and the clinical parameters of HCC patients. Chi-square results showed that there were significant relationships between the expression of IL-36 and certain clinical parameters, such as liver cirrhosis, metastasis, HBV infection, serum AFP level, and surgical intervention (P<0.05); but no tight correlation was found between expression level of IL36 and other clinical parameters, likely age, gender, TNM stage and tumor size (P>0.05) (Table 2).The association between clinical pathological features and prognosis were further analyzed by univariate and multivariate analyses. By using multivariate analysis, it showed features such as age (younger than 55 years), positive IL36 staining and lower serum AFP level (≤400 ng/ml), predicted good prognostic capacity; with the univariate analysis, it suggested factors such as male, older than 55 years, with liver cirrhosis, Stage B (according to Child-Pugh classification) and palliative resection predicted poor prognosis (Table 3). IL36 expression in different subgroups of T lymphocyte in PBMC with FCM (Figure 3 & Figure 4A, B) Since IL36 may affect the immune systems [9, 15] we detected the expression of IL36 on T lymphocyte and its subtypes in different population (healthy controls, chronic hepatitis B patients, and HCC patients) by FCM. The results of FCM suggested that expression of IL36 was the highest in CD4+ T cells than other cells (Figure 3 & Figure 4A, B). Serum concentration of IL36 with ELISA (Figure 4C) results indicated that the serum concentration of IL36 was the highest in HCC patients group, the second was in the chronic hepatitis B patients group, and the lowest was in the healthy control group (Figure 4C).

 Figure 2 

The Correlation of IL36 expression with prognosis of HCC patients. a the correlation between IL36 expression and survival of HCC patients in primary cohort. b the correlation between IL36 expression and recurrence of HCC patients in primary cohort. c the correlation between IL36 expression and survival of HCC patients in validation cohort. d the correlation between IL36 expression and recurrence of HCC patients in validation cohort. e the correlation between IL36 expression and survival of HCC patients in total cohort (primary cohort + validation cohort). f the correlation between IL36 expression and recurrence of HCC patients in total cohort (primary cohort + validation cohort).

J Cancer Image (Click on the image to enlarge.)
 Figure 3 

The detection of T lymphocytes with FCM in PBMC of 3 groups of patients with different stages of hepatitis B infection. a the detection of T cells in PBMC of healthy controls. b the detection of T cells in PBMC of hepatitis B patients. c the detection of T cells in PBMC of HCC patients. The number of patients in different groups by the detection of FCM (healthy controls (10 cases), chronic hepatitis B patients (10 cases), and HCC patients (8 cases)).

J Cancer Image (Click on the image to enlarge.)

Discussion

HCC is an aggressive malignancy with an increasing rate of incidence and a poor prognosis [16], China has the highest incidence of liver cancer in the world [2], and there are 466,000 cases of liver cancer in China every year according to the China Cancer Research Report recently [17]. Chronic hepatitis B is the main cause of HCC in China [2]. Although surgery and transcatheter arterial chemoembolization (TACE) therapy for HCC have made enormous achievement recently; however, it is very common to meet a perishing prognosis for HCC patients after surgical resection [18]. Currently, the most commonly used marker for HCC is serum α-fetal protein (AFP); however, approximately 50% of HCC patients are negative for this marker [19]. Therefore, it is urgent to find a biomarker that can be used for early diagnosis, early screening and early prediction of prognosis.

 Figure 4 

The different expression of IL36 in 3 groups of patients detected by FCM and ELISA. a the expression of IL36 in CD4 positive T cells of PBMC by FCM. b the expression of IL36 in CD8 positive T cells of PBMC by FCM. c the expression of IL36 in serum of peripheral blood by ELISA. The number of patients in different groups by the detection of ELISA (healthy controls (20 cases), chronic hepatitis B patients (14 cases), and HCC patients (19 cases)).

J Cancer Image (Click on the image to enlarge.)
 Table 2 

Correlation between IL36 expression and clinical pathological features of HCC patients

IL36 protein expressionχ2P value
positivenegative
Gender0.00290.957
Male1648
Female2066
Age (years)0.34770.555
≤ 552158
>551556
Liver cirrhosis5.63280.0176
Yes1472
No2242
TNM classification1.49140.222
I-II2048
III-IV1666
Tumor size (cm)1.734330.187859
≤4.52048
>4.51666
Metastasis7.80280.005
Yes4051
No1247
AFP (ug/L)5.63280.018
<4002345
≥4001369
HBV infection4.7710.029
Yes2347
No1367
HCV infection4.3030.038
Yes1628
No2086
Child-pugh classification1.07050.3
A2050
B1664
Edmondson grade3.34580.067
III2454
IV1260
Surgical intervention7.210.007
Radical resection1063
Palliative resection2651
Post-operative TACE5.6330.018
Yes2242
No1472
Total36114

The interleukin family is generally distributed in the tumor microenvironment, and many kinds of interleukin molecules play different roles in tumor progression and metastasis. As a newly discovered interleukin family member, IL-36 has been reported to play important roles in autoimmune disease [20], it was reported that the role of IL-36 has been demonstrated extensively in the skin, where it can act on keratinocytes and immune cells to induce a robust inflammatory response and is implicated strongly through functional and genetic evidence in the pathology of psoriatic disorders [20]; and IL-36 family members play a key role in the differentiation and function of polarized innate and adaptive lymphoid cells [15]. For Psoriasis progression, IL-36γ is the key ingredient in the dermal vascular compartment and is likely to enhance psoriatic skin inflammation by activating endothelial cells and promoting leukocyte recruitment [21]; there were also several research pointing toward a critical function of IL-36 in the priming of Th1 cell responses in vitro, and in adaptive immunity in a model of mycobacterial infection in vivo [22]; some other research suggested a beneficial effect of inhibition from IL-36γ/IL-17C axis-against anti-TNF-induced psoriasis form lesions in patients with inflammatory bowel disease [23]. Anyway, IL36 are important activators of the inflammatory response by stimulating both innate and adaptive immune response. Furthermore, recent research demonstrates that IL36 plays critical roles in tumor treatment and prognosis. For example, IL36 gene therapy has therapeutic effects on the regression of tumor masses in fibrosarcoma mouse model [24], IL-36α could be applied as a novel predictor of prognosis and a potential therapeutic drug for colorectal cancer [25], and IL-36γ could play important role in the physiologic immune response to colorectal cancer by sustaining inflammation within the tumor microenvironment [26]. However, the role of IL36 in detection and prognosis of HCC still remains unclear. Our results demonstrated IL-36 was significantly expressed in HCC tumor tissues compared with adjacent peri-tumor tissues. Those with positive IL-36 expression in this setting of patients had much longer OS times and lower tendency of cancer recurrence. Further investigation suggested a significant correlation between the expression level of IL-36 and combination with certain clinical facts, such as metastasis, AFP, HBV infection, and liver cirrhosis, but no tight association was established between the level of IL-36 and other clinical parameters, such as age, gender, tumor size and TNM classification. In the meantime, the correlation between clinical parameters and prognosis of patients with HCC was identified. Clinical parameters such as older than 55 years, negative IL36 expression, and AFP ≥400 µg/L predicted poor prognosis; IL36 level were the highest one in HCC patients compared with healthy and hepatitis B patients, which suggested that IL36 could be a novel biomarker for detection of HCC. Further, the data from FCM detection suggested expression of IL36 was higher in CD4+ T cells than in CD8+ T cells, and was the highest in HCC patients compared with hepatitis patients and healthy controls, this highlighted that IL36 was probably mainly from the CD4+ T cells of PBMC. Growing evidence from Th cell-mediated disorders, such as inflammatory bowel diseases suggests IL-36γ binds to receptors on CD4+ T cells, potently inhibiting Foxp3-expressing induced regulatory T cell (Treg) development, while IL36 could promote Th9 cells differentiation via a IL-2-STAT5 and IL-4-STAT6-dependent pathway [27]. Tregs are important immunosuppressive cells [28], and Th9 cells represent a unique subset of CD4+ T Cells endowed with the ability to eradicate advanced tumors [29], these could become potential mechanisms for IL36 in CD4+ T cells to induce the antitumor effector, and may explain higher expression of IL36 in HCC with better prognosis. To our knowledge, this is the first report describing the relationship of IL36 expression and the prognosis HCC. But, it is still very necessary to carry out multi-center trials with various tumor markers to confirm our conclusion, and the molecular mechanism underlying IL-36 and HCC still needs to be illuminated. In conclusion, our research suggested that the expression of IL-36 was significantly higher in HCC tissues compared with paired normal tissues, and low expression of IL-36 could suggest poor prognosis of HCC patients, rendering it a potential prognostic factor, biological marker of HCC, although this still needs to be validated in multicenter clinical study with larger scale and more samples.

 Table 3 

Univariate and multivariate analyses of clinical parameters and overall prognosis for HCC patients

Multivariate analysis of clinical parameters
HR (hazard ratio)95% CIP
Age0.5110.337-0.7770.002
≤55 year vs >55 year
IL360.4320.271-0.6880
Positive vs Negative
AFP1.7221.149-2.6790.008
≤400 ng/ml vs >400 ng/ml
Univariate analysis of clinical parameters
HR (hazard ratio)95%CIP
Gender0.6910.483-0.9880.043
Male vs Female
Age (years)0.6610.458-0.9540.027
≤55 vs >55
Tumor size (cm)1.0260.717-0.5010.069
≤4.5 vs >4.5
Liver cirrhosis1.5411.076-2.2070.018
Yes vs No
TNM stage0.7170.501-1.0260.069
I-II vs III-IV
Metastasis1.3310.928-1.9090.121
Yes vs No
HBV1.1940.837-1.7030.329
Yes vs No
HCV1.3040.896-1.8980.165
Yes vs No
Child-pugh class0.6930.484-0.9930.046
A class vs B class
Edmondson class0.8140.568-1.1670.263
III vs IV
Surgery0.5380.374-0.7740.001
Radical resection vs palliative resection
Post-operative TACE1.2220.856-1.7430.27
Yes vs No
IL360.3930.247-0.6260
Positive vs Negative

Abbreviations

HCC: Hepatocellular Carcinoma; IHC: Immunohistochemistry; ELISA: Enzyme-linked Immunosorbent Assay; FCM: flow cytometry; GHE: Global Health Estimates; AFP: Alpa-feta protein; BCLC staging: Barcelona-Clinic Liver Cancer Group staging; TACE: transcatheter arterial chemoembolization.

Acknowledgements

Authors' contributions

Lan Zhong: Conceptualization; Lang Liu: Data curation; Miao Hu: Formal Analysis; Funding acquisition; Jie Tang: Investigation; Yanni Hu: Methodology; Lan Zhong: Project administration; Haisheng Fang: Resources; Ying Tong: Software; Lan Zhong: Supervision; Jingze Li: Validation; Miao Hu: Visualization; Miao Hu: Writing - original draft; Lan Zhong: Writing - review & editing.

Funding

This work was supported by Science and Technology Development Fund of Shanghai Pudong New Area (PKJ2016-Y62) and the Top-level Clinical Discipline Project of Shanghai Pudong (PWYgf2018-04).

Competing Interests

The authors have declared that no competing interest exists.

References

1. Yang JD, Roberts LR. Hepatocellular carcinoma: A global view. Nature reviews Gastroenterology & hepatology. 2010;7:448-58

2. Sarin SK, Kumar M, Eslam M, George J, Al Mahtab M, Akbar SMF. et al. Liver diseases in the Asia-Pacific region: a Lancet Gastroenterology & Hepatology Commission. The lancet Gastroenterology & hepatology. 2019

3. Altekruse SF, McGlynn KA, Reichman ME. Hepatocellular carcinoma incidence, mortality, and survival trends in the United States from 1975 to 2005. Journal of clinical oncology: official journal of the American Society of Clinical Oncology. 2009;27:1485-91

4. Singal AG, Tiro JA, Marrero JA, McCallister K, Mejias C, Adamson B. et al. Mailed Outreach Program Increases Ultrasound Screening of Patients With Cirrhosis for Hepatocellular Carcinoma. Gastroenterology. 2017;152:608-15.e4

5. Wang Y, He L, Du Y, Zhu P, Huang G, Luo J. et al. The long noncoding RNA lncTCF7 promotes self-renewal of human liver cancer stem cells through activation of Wnt signaling. Cell stem cell. 2015;16:413-25

6. Lau CC, Sun T, Ching AK, He M, Li JW, Wong AM. et al. Viral-human chimeric transcript predisposes risk to liver cancer development and progression. Cancer cell. 2014;25:335-49

7. Cao C, Sun J, Zhang D, Guo X, Xie L, Li X. et al. The long intergenic noncoding RNA UFC1, a target of MicroRNA 34a, interacts with the mRNA stabilizing protein HuR to increase levels of beta-catenin in HCC cells. Gastroenterology. 2015;148:415-26.e18

8. Gresnigt MS, van de Veerdonk FL. Biology of IL-36 cytokines and their role in disease. Seminars in immunology. 2013;25:458-65

9. Wang X, Zhao X, Feng C, Weinstein A, Xia R, Wen W. et al. IL-36gamma Transforms the Tumor Microenvironment and Promotes Type 1 Lymphocyte-Mediated Antitumor Immune Responses. Cancer cell. 2015;28:296-306

10. Tortola L, Rosenwald E, Abel B, Blumberg H, Schafer M, Coyle AJ. et al. Psoriasiform dermatitis is driven by IL-36-mediated DC-keratinocyte crosstalk. The Journal of clinical investigation. 2012;122:3965-76

11. Vigne S, Palmer G, Lamacchia C, Martin P, Talabot-Ayer D, Rodriguez E. et al. IL-36R ligands are potent regulators of dendritic and T cells. Blood. 2011;118:5813-23

12. Queen D, Ediriweera C, Liu L. Function and Regulation of IL-36 Signaling in Inflammatory Diseases and Cancer Development. Frontiers in cell and developmental biology. 2019;7:317

13. Baker KJ, Houston A, Brint E. IL-1 Family Members in Cancer; Two Sides to Every Story. Frontiers in immunology. 2019;10:1197

14. Camp RL, Dolled-Filhart M, Rimm DL. X-tile: a new bio-informatics tool for biomarker assessment and outcome-based cut-point optimization. Clinical cancer research: an official journal of the American Association for Cancer Research. 2004;10:7252-9

15. Garlanda C, Dinarello CA, Mantovani A. The interleukin-1 family: back to the future. Immunity. 2013;39:1003-18

16. Jemal A, Bray F, Center MM, Ferlay J, Ward E, Forman D. Global cancer statistics. CA: a cancer journal for clinicians. 2011;61:69-90

17. Chen W, Zheng R, Baade PD, Zhang S, Zeng H, Bray F. et al. Cancer statistics in China, 2015. CA: a cancer journal for clinicians. 2016;66:115-32

18. Li L, Xu L, Yan J, Zhen ZJ, Ji Y, Liu CQ. et al. CXCR2-CXCL1 axis is correlated with neutrophil infiltration and predicts a poor prognosis in hepatocellular carcinoma. Journal of experimental & clinical cancer research: CR. 2015;34:129

19. Xu H, Dong X, Chen Y, Wang X. Serum exosomal hnRNPH1 mRNA as a novel marker for hepatocellular carcinoma. Clinical chemistry and laboratory medicine. 2018;56:479-84

20. Gabay C, Towne JE. Regulation and function of interleukin-36 cytokines in homeostasis and pathological conditions. Journal of leukocyte biology. 2015;97:645-52

21. Bridgewood C, Stacey M, Alase A, Lagos D, Graham A, Wittmann M. IL-36gamma has proinflammatory effects on human endothelial cells. Experimental dermatology. 2017;26:402-8

22. Vigne S, Palmer G, Martin P, Lamacchia C, Strebel D, Rodriguez E. et al. IL-36 signaling amplifies Th1 responses by enhancing proliferation and Th1 polarization of naive CD4+ T cells. Blood. 2012;120:3478-87

23. Friedrich M, Tillack C, Wollenberg A, Schauber J, Brand S. IL-36gamma sustains a proinflammatory self-amplifying loop with IL-17C in anti-TNF-induced psoriasiform skin lesions of patients with Crohn's disease. Inflammatory bowel diseases. 2014;20:1891-901

24. Solahaye-Kahnamouii S, Farhadi F, Rahkare-Farshi M, Pakdel F, Kashefimehr A, Pouralibaba F. et al. The effect of interleukin 36 gene therapy in the regression of tumor. Iranian journal of cancer prevention. 2014;7:197-203

25. Wang ZS, Cong ZJ, Luo Y, Mu YF, Qin SL, Zhong M. et al. Decreased expression of interleukin-36alpha predicts poor prognosis in colorectal cancer patients. International journal of clinical and experimental pathology. 2014;7:8077-81

26. Weinstein AM, Giraldo NA, Petitprez F, Julie C, Lacroix L, Peschaud F. et al. Association of IL-36γ with tertiary lymphoid structures and inflammatory immune infiltrates in human colorectal cancer. Cancer immunology, immunotherapy: CII. 2019;68:109-20

27. Harusato A, Abo H, Ngo VL, Yi SW, Mitsutake K, Osuka S. et al. IL-36gamma signaling controls the induced regulatory T cell-Th9 cell balance via NFkappaB activation and STAT transcription factors. Mucosal immunology. 2017;10:1455-67

28. Togashi Y, Shitara K, Nishikawa H. Regulatory T cells in cancer immunosuppression - implications for anticancer therapy. Nature reviews Clinical oncology. 2019;16:356-71

29. Lu Y, Wang Q, Xue G, Bi E, Ma X, Wang A. et al. Th9 Cells Represent a Unique Subset of CD4(+) T Cells Endowed with the Ability to Eradicate Advanced Tumors. Cancer cell. 2018;33:1048-60.e7

Author contact

Corresponding address Corresponding author: Lan Zhong, Department of Gastroenterology, Shanghai East Hospital of Tongji University School of Medicine, Shanghai, China No.150 Jimo Road, Pudong New Area, Shanghai, China. E-mail: lanzhongedu.cn; Tel.:+86-38804518-22063.


Received 2020-4-16
Accepted 2020-8-11
Published 2020-8-27