Literature DB >> 35117687

Clinical significance of IFIT2 expression in human renal cancer tissues.

Bin Xu1,2,3, Yu-Lan Zhu1,2,3, Jia-Lin Fan1,2,3,4, Lu-Jun Chen1,2,3, Jing-Ting Jiang1,2,3.   

Abstract

BACKGROUND: Interferon (IFN)-induced protein with tetratricopeptide repeats 2 (IFIT2) is an important member of the IFN-stimulated gene (ISG) family. It has been demonstrated that IFIT2 is important in the physiopathological processes of antiviral and antitumor activities. We previously demonstrated that IFIT2 was highly expressed in paracarcinoma tissues compared with gastric cancer tissues, and its expression level was positively correlated with a superior postoperative prognosis of the patients.
METHODS: We performed immunohistochemical staining of IFIT2 in human clear cell renal cell carcinoma (ccRCC) tissues by using a tissue microarray. RNAseq data of kidney clear cell carcinoma (KIRC) samples from The Cancer Genome Atlas (TCGA) were used to perform the enrichment analyses based on the genes that were highly correlated with IFIT2.
RESULTS: Weak staining of IFIT2 was located on the cytoplasm and cell membrane surface of the cancer cells, while positive staining of IFIT2 was located mainly on adjacent normal tissues. Survival analysis showed that patients with higher IFIT2 expression had better overall survival than patients with lower IFIT2 expression (P=0.030). The Cox model further demonstrated that age (P=0.002), pathological stage (P=0.000), TNM stage (P=0.005) and IFIT2 expression (P=0.003) could be used as independent prognostic predictors for ccRCC patients. Additionally, the enrichment analysis based on ccRCC expression profile data extracted from TCGA revealed that the genes highly correlated with IFIT2 were mainly related to the biological processes of virus response, T cells and the innate immune response (GO:0009615, GO:0042110, and GO:0045088) and the pathways of NLR signaling, chemokine signaling, and TLR signaling (hsa04621, hsa04062, and hsa04620).
CONCLUSIONS: IFIT2 could serve as a potential prognostic marker for ccRCC patients, and the mechanism of decreased IFIT2 expression in the progression of ccRCC merits further investigation. 2020 Translational Cancer Research. All rights reserved.

Entities:  

Keywords:  Renal cancer; immunohistochemistry; interferon-induced protein with tetratricopeptide repeats 2 (IFIT2); tissue microarray

Year:  2020        PMID: 35117687      PMCID: PMC8797327          DOI: 10.21037/tcr.2020.04.10

Source DB:  PubMed          Journal:  Transl Cancer Res        ISSN: 2218-676X            Impact factor:   1.241


Introduction

Renal cell carcinoma (RCC) occupies an important position in the most common malignant tumors in the urinary system, and clear cell renal cell carcinoma (ccRCC) accounts for 80% to 90% of all renal cancer cases (1). Although surgery, conventional chemotherapy, radiotherapy, immunotherapy or even combinational therapy have been available as therapeutic strategies against ccRCC, because the ccRCC is largely asymptomatic, some cases are usually diagnosed at a late stage at presentation; thus, the prognosis of patients still remains poor (1,2). Therefore, many improvements in early detection and therapeutic efficacy assessment are needed. Interferon (IFN)-induced protein with tetratricopeptide repeats 2 (IFIT2), which has been demonstrated to perform important anticancer and antiviral functions, has also been accepted as a tumor suppressor gene (3,4). Our previous study demonstrated that decreased IFIT2 levels in gastric cancer tissue were a valuable prognostic risk factor and contributed to cancer progression. Moreover, the depletion of IFIT2 levels in gastric cancer cell lines significantly promoted cellular functions such as viability, migration and invasion (5). IFIT2 can also promote cell apoptosis via bcl2-dependent mitochondrial pathways (6). Moreover, Gao et al. also reported that the status of IFN pathway-relevant genes might critically contribute to the success of immune checkpoint blockade therapy; for example, patients with loss of IFIT2 expression might exhibit a low/no response to anti-CTLA-4 treatment (7). Therefore, the detection of IFIT2 status could be used as a potential marker for the assessment of the therapeutic effect of immunotherapy against cancer. Herein, we examined the expression pattern of IFIT2 and its clinical association in human ccRCC tissues. First, we performed immunostaining of IFIT2 in human ccRCC tissues by using tissue microarray, and the results revealed that weak IFIT2 staining was located on the cytomembrane and in the cytoplasm, while IFIT2 positive staining was observed in adjacent normal tissues. Second, Cox analysis revealed that the IFIT2 expression level could act as a valuable prognostic risk factor for ccRCC. Third, we also performed functional enrichment analysis based on IFIT2 and its most correlated genes; the results revealed that the significantly enriched biological process and pathways were related to the regulation of infection immunity and cellular immunity (GO:0009615, GO:0042110, GO:0045088, hsa04621, hsa04621, and hsa04620). Taken together, these results suggest that IFIT2 expression can serve as a valuable prognostic biomarker for ccRCC patients, and the potential mechanism of decreased IFIT2 expression in the progression of ccRCC merits further investigation.

Methods

Samples

A tissue array (Shanghai Outdo Biotech Co., Ltd., Shanghai, China, catalog number: HKidE180Su03) was used in this study, which included 90 ccRCC patients (age ranged from 29 to 82 years, median age: 59; the surgery date ranged from October 2006 to February 2008). No patients received chemotherapy, radiotherapy or any other adjuvant treatment before surgery. All ccRCC tissues were confirmed by H&E staining. All patients with available survival data were included in the present analysis. The details of the patients are shown in .
Table 1

Correlation between ccRCC patients with different IFIT2 expression levels and clinical parameters

CharacteristicsPatientsIFIT2 expressionχ2P
H-score ≤105H-score >105
Sex2.6850.101
   Male594019
   Female31265
Age (years)0.4540.501
   ≤60513615
   >6039309
Tumor diameters (cm)1.3370.248
   ≤7614714
   >7291910
Tumor location0.0160.899
   Left463412
   Right443212
Pathological stage0.0010.972
   I + II644717
   III + IV26197
TNM stage2.9800.084
   I584612
   II + III + IV322012

IFIT2, IFN-induced protein with tetratricopeptide repeats 2; ccRCC, clear cell renal cell carcinoma.

IFIT2, IFN-induced protein with tetratricopeptide repeats 2; ccRCC, clear cell renal cell carcinoma.

Immunohistochemical staining

The polyclonal antibody IFIT2 (ab113112, rabbit anti-human, dilution ratio: 1:80, Abcam, Cambridge, MA, USA) and the secondary antibody HRP-labeled goat anti-mouse/rabbit (K500711, Dako, Glostrup, Denmark) were used in the immunostaining. The protocol of IFIT2 immunostaining was performed as in our previous study (5).

Evaluation of immunohistochemical staining

The staining score of IFIT2 was evaluated by the H-score scoring method, which was defined as H-score = (unstained cells %×0) + (weakly stained cells %×1) + (moderately stained cells %×2) + (strongly stained cells %×3) (1,5,8), and used for the subsequent statistical analysis.

Functional enrichment analyses

RNAseq data of KIRC samples from TCGA were used to perform the enrichment analyses based on the genes that were highly correlated with IFIT2. The top 200 genes with high correlation coefficients were selected, and a functional enrichment analysis was performed by the R package “cluster Profiler”. The dot plots of biological process and KEGG pathways were achieved with the R functions “enrichGO” and “enrichKEGG”. The enrichment map showing the results of over-representation and gene set enrichment analyses was generated using the R function “emapplot”.

Statistical analyses

IBM SPSS Statistics 25 (IBM Corporation, Armonk, NY, USA) and GraphPad Prism version 8.0.0 for Windows (GraphPad Software, San Diego, CA, USA) were used for statistical analyses. The ratio between different groups was tested by the Chi-square test. The Kaplan-Meier method was used for univariate survival analysis, and the log-rank test was used for comparison of survival rates between groups. Cox models were fitted to estimate the correlation between different clinicopathologic characteristics and prognosis. Statistical significance was based on P<0.05.

Results

IFIT2 expression in human renal tissues

IFIT2 protein expression patterns in human renal cancer and adjacent normal tissues were examined by immunohistochemistry. As shown in , positive staining of IFIT2 could be detected in the cytoplasm of cancer cells in ccRCC tissues or of renal tubular epithelial cells in paracarcinoma tissues. shows that the IFIT2 expression level was significantly lower in ccRCC tissues than in paracarcinoma tissues (P<0.001).
Figure 1

IFIT2 staining in human ccRCC tissues and normal tissues. Positive immunostaining of IFIT2 could be detected in the cytoplasm of cancer cells in ccRCC tissues or of renal tubular epithelial cells in normal tissues. IFIT2, interferon (IFN)-induced protein with tetratricopeptide repeats 2; ccRCC, clear cell renal cell carcinoma.

Figure 2

Prognostic value of IFIT2 staining in ccRCC tissues. (A) The expression level of IFIT2 in renal cancer tissues was significantly lower than that in adjacent normal tissues (P<0.001); (B) higher IFIT2 expression in ccRCC tissues was significantly associated with better patient survival (HR: 0.428, 95% CI: 0.199–0.923, P=0.030); (C,D) based on TCGA gene profile data from http://gepia.cancer-pku.cn/, our results revealed that decreased IFIT2 mRNA expression in ccRCC tissues was significantly correlated with poor OS and DFS in patients (P=0.017 and P=0.11, respectively). IFIT2, interferon (IFN)-induced protein with tetratricopeptide repeats 2; ccRCC, clear cell renal cell carcinoma; TCGA, The Cancer Genome Atlas; OS, overall survival; DFS, disease-free survival.

IFIT2 staining in human ccRCC tissues and normal tissues. Positive immunostaining of IFIT2 could be detected in the cytoplasm of cancer cells in ccRCC tissues or of renal tubular epithelial cells in normal tissues. IFIT2, interferon (IFN)-induced protein with tetratricopeptide repeats 2; ccRCC, clear cell renal cell carcinoma. Prognostic value of IFIT2 staining in ccRCC tissues. (A) The expression level of IFIT2 in renal cancer tissues was significantly lower than that in adjacent normal tissues (P<0.001); (B) higher IFIT2 expression in ccRCC tissues was significantly associated with better patient survival (HR: 0.428, 95% CI: 0.199–0.923, P=0.030); (C,D) based on TCGA gene profile data from http://gepia.cancer-pku.cn/, our results revealed that decreased IFIT2 mRNA expression in ccRCC tissues was significantly correlated with poor OS and DFS in patients (P=0.017 and P=0.11, respectively). IFIT2, interferon (IFN)-induced protein with tetratricopeptide repeats 2; ccRCC, clear cell renal cell carcinoma; TCGA, The Cancer Genome Atlas; OS, overall survival; DFS, disease-free survival.

IFIT2 expression and its clinical significance in human ccRCC

Based on the evaluation of the H-score, we further aimed to determine the clinical associations of decreased IFIT2 expression in ccRCC tissues. However, as shown in , there was no significant correlation between IFIT2 expression in renal cancer tissues and the clinical parameters of the patients. As shown in , the patients with higher IFIT2 expression in ccRCC tissues had a significantly better survival rate than those with lower IFIT2 expression in ccRCC tissues (HR: 0.428, 95% CI: 0.199–0.923, P=0.030). Moreover, based on the TCGA gene profile data from http://gepia.cancer-pku.cn/, we also investigated the prognostic value of IFIT2 mRNA expression in ccRCC tissues, and our results revealed that decreased IFIT2 mRNA expression in renal cancer tissues was significantly correlated with poorer overall survival (OS) and disease-free survival (DFS) (, P=0.017 and P=0.11). As shown in , the multivariate Cox model revealed that the age (HR: 3.538, 95% CI: 1.586–7.891, P=0.002), the pathological stage (HR: 5.217, 95% CI: 2.168–12.555, P=0.000), the TNM stage (HR: 4.382, 95% CI: 1.560–12.311, P=0.005) and IFIT2 expression level (HR: 5.646, 95% CI: 1.836–17.357, P=0.003) could be used as potential prognostic predictors in the patients.
Table 2

Cox analysis of the included characteristics

CharacteristicsUnivariate analysisMultivariate analysis
HR (95% CI)PHR (95% CI)P
Sex (male: female)0.865 (0.420–1.782)0.6941.588 (0.682–3.696)0.283
Age (>60 vs. ≤60)3.185 (1.497–6.776)0.0033.538 (1.586–7.891)0.002
Tumor location (right vs. left)0.948 (0.469–1.919)0.8830.758 (0.356–1.614)0.472
Tumor diameter (>7 vs. ≤7 cm)2.674 (1.319–5.421)0.0060.811 (0.318–2.064)0.660
Pathological stage (III + IV vs. I + II)6.120 (2.944–12.724)0.0005.217 (2.168–12.555)0.000
TNM stage (II + III + IV vs. I)3.459 (1.690–7.080)0.0014.382 (1.560–12.311)0.005
IFIT2 (high vs. low)0.333 (0.116–0.952)0.0400.177 (0.058–0.545)0.003

Bold signifies P<0.05. IFIT2, IFN-induced protein with tetratricopeptide repeats 2.

Bold signifies P<0.05. IFIT2, IFN-induced protein with tetratricopeptide repeats 2.

Functional enrichment analysis of IFIT2 and its highly correlated genes

Functional enrichment analysis was performed based on IFIT2 and its highly correlated genes as identified from RNAseq data of kidney clear cell carcinoma (KIRC) from The Cancer Genome Atlas (TCGA). The top 200 highly correlated genes were included in the enrichment analysis. The top 20 enriched biological processes are presented in . The significantly enriched terms mainly focused on the processes of “response to virus (GO:0009615)”, “T cell activation (GO:0042110)”, and “regulation of innate immune response (GO:0045088)”, and the pathway terms () were mainly associated with “TLR signaling pathway (hsa04620)”, “NLR signaling pathway (hsa04621)”, and “chemokine signaling pathway (hsa04062)”.
Figure 3

Enrichment analysis of IFIT2 and its highly correlated genes. Functional enrichment analysis of IFIT2 and its correlated genes was performed by the R package “clusterProfiler”. (A) The top 20 enriched biological processes of IFIT2 and its correlated genes; (B) enrichment map of the relationships between the top 20 enriched biological processes; (C) the top 20 enriched pathways of IFIT2 and its correlated genes; (D) enrichment map of the relationships between the top 20 enriched pathways. IFIT2, interferon (IFN)-induced protein with tetratricopeptide repeats 2.

Enrichment analysis of IFIT2 and its highly correlated genes. Functional enrichment analysis of IFIT2 and its correlated genes was performed by the R package “clusterProfiler”. (A) The top 20 enriched biological processes of IFIT2 and its correlated genes; (B) enrichment map of the relationships between the top 20 enriched biological processes; (C) the top 20 enriched pathways of IFIT2 and its correlated genes; (D) enrichment map of the relationships between the top 20 enriched pathways. IFIT2, interferon (IFN)-induced protein with tetratricopeptide repeats 2.

Discussion

IFNs are an important mediator of the immune response and are mainly involved in the processes of viral replication, cellular proliferation and activation of immune effector cells (9). IFNs can activate the JAK/STAT signaling pathway, subsequently leading to increased expression of IFN-stimulated genes (ISGs) (10,11). A recent study considered the level of ISG expression in cancer tissues as an important marker for the efficacy evaluation of tumor immunological checkpoint blocking therapy (7). Many studies have demonstrated that IFIT2 contributes essentially to anticancer and antiviral effects (5,6,12-16). For example, IFIT2 can inhibit the proliferation and migration of cancer cells and promote apoptosis of cancer cells (3,17). Our previous study reported that decreased IFIT2 expression could be found in gastric cancer tissues compared to adjacent normal tissues and was significantly associated with cancer progression, poor prognosis, cancer cell viability and migration (5). Decreased IFIT2 expression could confer antiapoptotic properties to colorectal cancer cells and then promote human colorectal carcinogenesis (18). lncRNA00364 could repress liver cancer cell proliferation by affecting STAT3 phosphorylation and IFIT2 upregulation (14). Moreover, low expression of IFIT2 was also significantly correlated with the occurrence of epithelial-mesenchymal transformation in cancer cells (19). It has also been demonstrated that the miR-645-IFIT2 axis contributes pivotally to the sensitization of osteosarcoma cells to cisplatin-induced apoptosis (20). Herein, we demonstrated that lower IFIT2 expression could be found in human ccRCC tissues compared with normal tissues with immunohistochemistry, and the decreased IFIT2 expression level could predict poor survival in patients. Moreover, according to the TCGA data, we also confirmed that, at the mRNA expression level, the decreased IFIT2 expression level correlated with poor OS and DFS in patients. Enrichment analysis revealed that IFIT2 and its highly correlated genes were mainly enriched in biological processes and pathways focused on the response to virus, innate and T cell immune responses, cytokine secretion processes, etc. Thus, our present study suggested that decreased IFIT2 expression was involved in cancer progression and could serve as a potential prognostic predictor for ccRCC.
  20 in total

1.  Long non-coding RNA LINC00161 sensitises osteosarcoma cells to cisplatin-induced apoptosis by regulating the miR-645-IFIT2 axis.

Authors:  Yuan Wang; Li Zhang; Xifu Zheng; Weiliang Zhong; Xiliang Tian; Baosheng Yin; Kang Tian; Weiguo Zhang
Journal:  Cancer Lett       Date:  2016-09-05       Impact factor: 8.679

2.  Plasma Glycosaminoglycans as Diagnostic and Prognostic Biomarkers in Surgically Treated Renal Cell Carcinoma.

Authors:  Francesco Gatto; Kyle A Blum; Seyedeh Shaghayegh Hosseini; Mazyar Ghanaat; Mahyar Kashan; Francesca Maccari; Fabio Galeotti; James J Hsieh; Nicola Volpi; A Ari Hakimi; Jens Nielsen
Journal:  Eur Urol Oncol       Date:  2018-06-13

Review 3.  Interferon-stimulated genes: roles in viral pathogenesis.

Authors:  John W Schoggins
Journal:  Curr Opin Virol       Date:  2014-04-05       Impact factor: 7.090

4.  Long non-coding RNA00364 represses hepatocellular carcinoma cell proliferation via modulating p-STAT3-IFIT2 signaling axis.

Authors:  Wei-Guo Tang; Bo Hu; Hai-Xiang Sun; Qi-Man Sun; Chao Sun; Pei-Yao Fu; Zhang-Fu Yang; Xin Zhang; Chen-Hao Zhou; Jia Fan; Ning Ren; Yang Xu
Journal:  Oncotarget       Date:  2017-10-25

5.  Inhibition of Proteasome Activity Induces Aggregation of IFIT2 in the Centrosome and Enhances IFIT2-Induced Cell Apoptosis.

Authors:  Limin Chen; Shuyuan Liu; Fen Xu; Yunyuan Kong; Lagen Wan; Yonglu Zhang; Zhanglin Zhang
Journal:  Int J Biol Sci       Date:  2017-02-25       Impact factor: 6.580

6.  Overexpression of HHLA2 in human clear cell renal cell carcinoma is significantly associated with poor survival of the patients.

Authors:  Lujun Chen; Dawei Zhu; Jun Feng; You Zhou; Qi Wang; Huijing Feng; Junping Zhang; Jingting Jiang
Journal:  Cancer Cell Int       Date:  2019-04-16       Impact factor: 5.722

7.  Human IFIT proteins inhibit lytic replication of KSHV: A new feed-forward loop in the innate immune system.

Authors:  Dajiang Li; Sankar Swaminathan
Journal:  PLoS Pathog       Date:  2019-02-19       Impact factor: 6.823

Review 8.  Advances in anti-viral immune defence: revealing the importance of the IFN JAK/STAT pathway.

Authors:  Nicola Raftery; Nigel J Stevenson
Journal:  Cell Mol Life Sci       Date:  2017-04-21       Impact factor: 9.261

9.  MicroRNA-645, up-regulated in human adencarcinoma of gastric esophageal junction, inhibits apoptosis by targeting tumor suppressor IFIT2.

Authors:  Xiaoshan Feng; Ying Wang; Zhikun Ma; Ruina Yang; Shuo Liang; Mengxi Zhang; Shiyuan Song; Shuoguo Li; Gang Liu; Daiming Fan; Shegan Gao
Journal:  BMC Cancer       Date:  2014-08-29       Impact factor: 4.430

10.  Decreased expression of interferon-induced protein 2 (IFIT2) by Wnt/β-catenin signaling confers anti-apoptotic properties to colorectal cancer cells.

Authors:  Tomoyuki Ohsugi; Kiyoshi Yamaguchi; Chi Zhu; Tsuneo Ikenoue; Yoichi Furukawa
Journal:  Oncotarget       Date:  2017-10-26
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