Open Access

High expression of eukaryotic initiation factor 3M predicts poor prognosis in colon adenocarcinoma patients

  • Authors:
    • Qing‑Hua Wang
    • Min Zhang
    • Ming‑Hui Zhou
    • Xiao‑Jiao Gao
    • Fang Chen
    • Xun Yan
    • Feng Lu
  • View Affiliations

  • Published online on: November 29, 2019     https://doi.org/10.3892/ol.2019.11164
  • Pages: 876-884
  • Copyright: © Wang et al. This is an open access article distributed under the terms of Creative Commons Attribution License.

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Abstract

Eukaryotic initiation factor 3 subunit M (EIF3M) is required for key steps in the initiation of protein synthesis, and dysregulation of EIF3M is associated with tumorigenesis. This study aimed to explore the clinicopathological and prognostic role of EIF3M in patients with colon adenocarcinoma. A total of 82 pathology specimens, 20 freeze‑thawed tumors and 80 healthy controls were used to investigate the expression of EIF3M in colon adenocarcinoma through immunohistochemistry, western blotting, RT‑qPCR and ELISA. In addition, Kaplan‑Meier curves and Cox regression analysis were used to analyze overall survival (OS) and disease‑free survival (DFS). Furthermore, the Oncomine database was used for analyzing EIF3M expression. The positive rate of EIF3M in colon adenocarcinoma was higher compared with that in normal colon tissues (62.20% vs. 29.27%; P<0.001). The mean score of EIF3M was also higher in colon adenocarcinoma compared with normal colon tissue (17.28±10.05 vs. 6.53±4.87; P<0.001). The levels of EIF3M expression in freeze‑thawed tumors and serum from 20 patients with colon adenocarcinoma were higher than those in normal tissues and serum from healthy controls, respectively (P<0.001). In addition, positive expression of EIF3M was associated with tumor size (P=0.002) and Dukes' stage (P<0.001). In multivariate Cox regression analysis, EIF3M expression was an independent prognostic factor for OS (P=0.003) and DFS (P=0.001). Oncomine database analysis showed a higher expression of EIF3M expression in colon adenocarcinoma compared with normal colon tissues, colon squamous cell carcinomas or gastrointestinal stromal tumors. In conclusion, EIF3M expression was associated with tumor size and Dukes' stage in colon adenocarcinoma. Hence, EIF3M is a potential prognostic indicator for colon adenocarcinoma.

Introduction

Colon cancer is one of the leading causes of cancer-associated mortality worldwide, with >800,000 recorded cases in 2018, for which radical surgery is the standard treatment (1). The prognosis of patients with colon cancer remains poor primarily due to recurrence (2). Upregulation of the expression of oncogenes is an important contributor to the etiology of cancer, and can promote abnormal proliferation and cell cycle progression (3). Hence, it is imperative to develop novel and reliable prognostic markers for patients with colon adenocarcinoma.

The eukaryotic initiation factor 3 (EIF3) is a complex translation initiation factor composed of 13 subunits (EIF3A to EIF3M) that is involved in mRNA modulation (4). The EIF3 complex is required for key steps in the initiation of protein synthesis (5). Dysregulated EIF3 subunits have been implicated in neurodegenerative disorders (such as Parkinson's disease), infection and tumorigenesis (6). Previous studies have demonstrated that EIF3 subunits regulate the AMP-activated protein kinase α (AMPKα), AKT/PI3K/mTOR and stress-activated kinase/JNK signaling pathways and the BCL-2 family of proteins, and play an important role in the development and growth of colon neoplasms (7,8). EIF3M encodes a protein of 42.5 kDa that is necessary for maintaining the structural integrity and translation initiation function of EIF3, and is also crucial for mouse embryonic development (9). EIF3M is upregulated in colon cancer and involved in the regulation of tumorigenesis-related genes, including migration inhibitory factor (MIF) and metallothionein 2 (MT2) (10,11). Silencing EIF3M expression leads to apoptosis of the HCT-116 colon cancer cell line (11). A previous study demonstrated that zinc family member 1 (ZIC1) was upregulated in liposarcoma, and knockdown of ZIC1 in liposarcoma cell lines was associated with the degradation of EIF3M (12). Hence, EIF3M may be a pro-survival downstream target of ZIC1. These studies suggest that EIF3M expression is essential for carcinogenesis and could be used to develop a novel therapy for various cancer types.

Due to no studies reporting its prognostic role in the colon carcinoma, the present research investigated EIF3M expression in colon cancer by using a variety of laboratory techniques in conjunction with the Oncomine database, and its clinicopathological and prognostic value in patients with colon adenocarcinoma was explored.

Materials and methods

Tissue samples

This study was approved by the Kunshan First People's Hospital Ethics Committee (Kunshan, China) and written informed consent was obtained from all the patients. The clinical and pathological data of 82 patients with colon adenocarcinoma (ratio male:female, 0.78:1) who had not received any radiotherapy or chemotherapy before surgery were reviewed. All cases were diagnosed with adenocarcinoma of the colon and underwent radical surgery at Kunshan First People's Hospital between January 2010 and December 2012. Patients were diagnosed with Dukes' stage B or C disease, and received 8 courses of XELOX regimen (oxaliplatin combined with capecitabine; 130 mg/m2 oxaliplation IV on the first day and 2,000 mg/m2/day capecitabine for two weeks) (13). The mean age of the patients was 55.69±12.54 years, and the follow-up duration ranged from 3–60 months. The serum of 20 patients with colon adenocarcinoma patients at Dukes' stage B or C before surgery and 80 healthy controls was collected to perform ELISAs. Additionally, 20 pairs of fresh-frozen colon tumors and matched normal tissues (>5.0 cm from tumor tissues) obtained from patients with colon adenocarcinoma were collected for total protein and mRNA extraction. The levels of CEA, CA19-9 and CA12-5 were investigated by ELISA in the laboratory department of Kunshan First People's Hospital (Kunshan, China) when patients were hospitalized.

Immunohistochemistry (IHC) and evaluation of immunohistochemical staining

Tissues were fixed in 10% formalin at 20°C for 8 h and then embedded in paraffin blocks. 5-µm paraffin-embedded sections were used for EIF3M immunohistochemical staining with an SP Rabbit and Mouse HRP kit (cat. no. CW2069M, CoWin Biosciences). Endogenous peroxydase enzymes blocking buffer was used at 20°C for 10 min. And then, normal goat serum was also used for blocking at 20°C for 10 min. These two blocking reagents were constituent parts of this kit. The primary antibody, EIF3M rabbit polyclonal antibody (cat. no. bs-9033R, BIOSS), was diluted at 1:100 in phosphate-buffered saline (PBS). PBS without primary antibodies was used as a negative control. The SP Rabbit and Mouse HRP kit (cat. no. CW2069M; CoWin Biosciences) was used to conduct a secondary incubation at 20°C for 10 min, according to the manufacturer's protocol. Two pathologists independently evaluated the immunoreactivity scores (IRS) for EIF3M expression through a semi-quantitative assessment system. Slides were photographed using an inverted light microscope (magnification, ×400; Nikon Corporation). The IRS values were a combination of a score for the staining intensity and a score of the percentage of cells. The staining intensity was defined as: 0, no staining; 1, mild staining; 2, moderate staining; and 3, strong staining. The scores for the percentage of cells were defined as: ‘0–100%’ = (0, 0%; 1, 1–10%; 2, 11–20%; 3, 21–30%; 4, 31–40%; 5, 41–50%; 6, 51–60%; 7, 61–70%; 8, 71–80%; 9, 81–90%; and 10, 91–100%.). The total IRS was calculated by multiplying the staining intensity score by the staining percentage score, and ranged from 0 to 30. Any disagreement was resolved by discussion. EIF3M expression was considered positive only when IRS >10.

Western blotting

A total of 20 pairs of fresh-frozen specimens were used for western blotting. Total protein of each tissue was extracted using RIPA lysis buffer (Beyotime Institute of Biotechnology) containing protease inhibitor cocktail (Pierce; Thermo Fisher Scientific, Inc.). The supernatants were collected and their protein concentration was measured using a BCA protein assay kit (Pierce; Thermo Fisher Scientific, Inc.), 20 µg of each sample was loaded per lane on 8–16% gels (Beyotime Institute of Biotechnology) and proteins were separated by SDS-PAGE (EMD Millipore). Proteins were transferred to PVDF membranes (Beyotime Institute of Biotechnology). Membranes were blocked in 5% non-fat dry milk with TBST for 1 h at room temperature. EIF3M rabbit polyclonal antibody (1:500; BIOSS) and β-actin mouse monoclonal antibody (cat. no. AF0003; 1:1,000; Beyotime Institute of Biotechnology) were used to incubate membranes at 4°C overnight. Secondary antibodies (1:1,000; anti-rabbit, cat. no. A0208; and anti-mouse, cat. no. A0216; both Beyotime Institute of Biotechnology) conjugated with horseradish peroxidase were used at 37°C for 2 h, and then detected using an Enhanced Chemiluminescence Detection system (Beyotime Institute of Biotechnology). The relative densities were quantified with a digital imaging analyzer, ImageJ version 1.4.1 (National Institutes of Health). EIF3M expression was normalized to β-actin.

RT-qPCR

TRIzol reagent (Thermo Fisher Scientific, Inc.) was used to isolate the total RNA from each tissue, and 2 µg RNA was reverse transcribed using the SuperScript II RNase-Reverse Transcriptase system (Invitrogen; Thermo Fisher Scientific, Inc.) at 50°C for 15 min, and then 85°C for 2 min. qPCR was performed using an iQ5 real-time PCR detection system (Bio-Rad Laboratories, Inc.) with the SYBR Premix Ex Taq™ kit (Takara Bio, Inc.). The PCR cycling conditions were as follows: 94°C for 4 min, followed by 40 cycles of 95°C for 1 min, 60°C for 1 min and 72°C for 1 min. PCR primers were designed as follows: EIF3M forward, 5′-ATGTAACAGGCCAAGTGAATC-3′ and reverse, 5′-CACAGGTGTATTGTACGAGCAT-3′ (198 bp); and β-actin forward, 5′-GGGAAATCGTGCGTGACATTAAGG-3′ and reverse, 5′-CAGGAAGGAAGGCTGGAAGAGTG-3′ (185 bp). The relative expression of EIF3M was expressed using the 2−ΔΔCq method, where ΔΔCq=(CtTumor-eIF3m-CtTumor-β-actin)-(CtNormal-eIF3m-CtNormal-β-actin) (14).

ELISA

The EIF3M ELISA kit (cat. no. S00143, Shanghai Yuanye Biotechnology Co., Ltd) was used to detect the levels of EIF3M in serum of 20 patients with colon adenocarcinoma patients and 80 healthy controls. Following the manufacturer's instructions, the OD value for each sample was detected using a microplate reader (wavelength, 450 nm), and the level of EIF3M was calculated using a standard curve drawn using Excel 2016 (Microsoft Corporation).

Oncomine database analysis

The following 6 datasets were selected from the Oncomine database (https://www.oncomine.org/): Skrzypczak Colorectal (69 samples); Skrzypczak Colorectal 2 (15 samples); Graudens Colon (30 samples); Ki Colon (91 samples); TCGA Colorectal (123 samples) and Hong Colorectal (82 samples) (1518). These datasets compare expression of EIF3M in colon or colorectal carcinoma with expression in normal tissues.

Statistical analysis

SPSS 20.0 (IBM Corp.) and GraphPad 6.0 (GraphPad Software, Inc.) were used for statistical analyses, and P<0.05 was considered to indicate a statistically significant difference. Pearson's χ2 test was used to analyze the association of EIF3M expression with clinicopathological characteristics. Continuous variables, expressed as the mean ± SD, were analyzed using a Student's t-test; a paired t-test was used for comparing tumors with adjacent normal tissues, and an unpaired t-test was used for comparing the serum of patients with colon adenocarcinoma with that of the healthy controls. In addition, Cox univariate and multivariate regression analysis and Kaplan-Meier curves with log- rank test were also used to analyze overall survival (OS) and disease-free survival (DFS).

Results

Expression of EIF3M in colon adenocarcinoma

EIF3M was expressed in the cytoplasm in both colon adenocarcinoma and normal colon tissues (Fig. 1A and B). The positive rate of EIF3M in colon adenocarcinoma was higher than that in normal colon tissues (62.20 vs. 29.27%; P<0.001). The mean IRS of EIF3M in colon adenocarcinoma was significantly higher than that in normal colon tissues (17.28±10.05 vs. 6.53±4.87; P<0.001; Fig. 1C). The levels of EIF3M mRNA and protein in freeze-thawed tumors were higher than those in corresponding normal tissues (P<0.001; Fig. 1D-F). In addition, the average level of EIF3M in the serum supernatants of 20 patients with colon adenocarcinoma was significantly higher compared with that in 80 healthy controls (2625.3±986.4 vs. 1203.3±493.5 pg/ml; t=9.17; P<0.001).

Association between EIF3M and clinicopathological parameters in colon adenocarcinoma

According to the IRS values, 51 patients were classed into the ‘positive group’ (IRS >10) and used for subsequent analysis. As presented in Table I, positive expression of EIF3M was associated with tumor size (P=0.002) and Dukes' stage (P<0.001), whilst there was no association found between EIF3M expression and other parameters, including age, sex, location, differentiation, CEA, CA19-9 and CA12-5.

Table I.

Association of EIF3M expression in patients with colon adenocarcinoma with clinicopathological variables.

Table I.

Association of EIF3M expression in patients with colon adenocarcinoma with clinicopathological variables.

EIF3M expression

VariablesnPositive, n (%)Negative, n (%)χ2P-value
Total8251 (62.20)31 (37.80)
Age, years 0.0490.825
  ≤554930 (58.82)19 (61.29)
  >553321 (41.18)12 (38.71)
Sex 0.0320.858
  Male3622 (43.14)14 (45.16)
  Female4629 (56.86)17 (54.84)
Tumor size, cm 10.0380.002
  ≤54823 (45.10)25 (80.65)
  >53428 (54.90)6 (19.35)
Location 0.8480.357
  Right colon3721 (41.18)16 (51.61)
  Left colon4530 (58.82)15 (48.39)
Differentiation 5.5970.061
  I137 (13.73)6 (19.35)
  II4021 (41.18)19 (61.30)
  III2923 (45.09)6 (19.35)
Dukes' stage 14.366<0.001
  B4721 (41.18)26 (83.87)
  C3530 (58.82)5 (16.13)
Serum CEA, ng/ml 3.3190.068
  <53216 (31.37)16 (51.61)
  ≥55035 (68.63)15 (48.39)
Serum CA19-9, U/ml 3.7010.054
  <376946 (90.20)23 (74.19)
  ≥37135 (9.80)8 (25.81)
Serum CA12-5, U/ml 2.4160.120
  <355531 (60.78)24 (77.42)
  ≥352720 (39.22)7 (22.58)

[i] EIF3M, eukaryotic initiation factor 3 subunit M; CEA, carcino-embryonic antigen; CA, carbohydrate antigen.

Association between EIF3M expression and OS

In the Kaplan-Meier analysis, the OS rate of the ‘positive group’ was significantly lower than the ‘negative group’ (P=0.006; Fig. 2A). Based on univariate Cox regression analysis, EIF3M, tumor size, differentiation, Dukes' stage, serum CEA and serum CA12-5 were associated with OS (P<0.01; Table II). Based on multivariate analysis, EIF3M expression (P=0.003), differentiation (P<0.001), Dukes stage (P<0.001) and serum CEA (P<0.001) were independent prognostic factors for OS rate for patients with colon adenocarcinoma (Table III).

Table II.

Prognostic role of EIF3M expression and clinicopathological factors for OS and DFS of patients with colon cancer by univariate Cox regression analysis.

Table II.

Prognostic role of EIF3M expression and clinicopathological factors for OS and DFS of patients with colon cancer by univariate Cox regression analysis.

OSDFS


VariablesHR95% CIP-valueHR95% CIP-value
EIF3M expression, high vs. low2.211.22–4.020.0092.171.27–3.700.004
Age, >55 vs. ≤55 years1.570.89–2.760.1191.430.79–2.560.238
Sex, male vs. female1.260.84–1.900.2641.370.93–2.020.111
Tumor size, >5 vs. <5 cm1.361.10–1.690.0041.240.82–1.880.308
Location, left vs. right1.630.73–3.630.2331.370.74–2.530.316
Differentiation, III vs. I and II1.801.48–2.19<0.0011.521.27–1.80<0.001
Dukes' stage, C vs. B2.231.24–4.000.0072.051.11–3.760.022
Serum CEA, ≥5 vs. <5 ng/ml1.941.59–2.35<0.0011.831.44–2.33<0.001
Serum CA19-9, ≥37 vs. <37 U/ml1.490.83–2.690.1822.240.66–7.570.194
Serum CA12-5, ≥35 vs. <35 U/ml2.361.60–3.49<0.0011.641.29–2.08<0.001

[i] EIF3M, eukaryotic initiation factor 3 subunit M; CI, confidence interval; HR, hazard ratio; CEA, carcino-embryonic antigen; CA, carbohydrate antigen.

Table III.

Prognostic role of EIF3M expression and clinicopathological factors for OS and DFS of patients with colon cancer by multivariate Cox regression analysis.

Table III.

Prognostic role of EIF3M expression and clinicopathological factors for OS and DFS of patients with colon cancer by multivariate Cox regression analysis.

OSDFS


VariablesHR95% CIP-valueHR95% CIP-value
EIF3M expression, high vs. low2.461.37–4.43   0.0032.021.36–2.990.001
Differentiation, III vs. I and II2.721.52–4.89<0.0011.981.18–3.300.009
Dukes' stage, C vs. B3.072.08–4.54<0.0012.421.45–4.030.001
Serum CEA, ≥5 vs. <5 ng/ml3.191.78–5.73<0.0011.671.13–2.470.011

[i] EIF3M, eukaryotic initiation factor 3 subunit M; CI, confidence interval; HR, hazard ratio; CEA, carcino-embryonic antigen.

Association between EIF3M expression and DFS

The DFS rate of patients with positive expression of EIF3M was significantly lower than that of patients with negative expression (P=0.002; Fig. 2B). Based on univariate Cox regression analysis, EIF3M, differentiation, Dukes' stage, serum CEA and serum CA12-5 were all significantly associated with DFS (P<0.05; Table II). In multivariate Cox regression analysis, EIF3M expression (P=0.001), differentiation (P=0.009), Dukes' stage (P=0.001) and serum CEA (P=0.011) were independent prognostic factors for DFS (Table III).

EIF3M expression in colon cancer using Oncomine

All 6 datasets from the Oncomine database showed a higher expression of EIF3M in colon/colorectal carcinoma tissues compared with normal tissues (P<0.001; Fig. 3A). The Ki Colon dataset also highlighted the top 15 genes related to EIF3M by co-expression analysis (Fig. 3B). These genes were all expressed to significantly higher levels in colon adenocarcinoma compared with normal tissues, and exhibited a strong co-expression correlation (correlation index, 0.675–0.876). Information and the functions of these 15 co-expression genes are listed in Table IV. In addition, EIF3M expression was higher in colon adenocarcinoma compared with that in normal colon tissues, colon squamous cell carcinomas or gastrointestinal stromal tumors (Fig. 3B).

Table IV.

Information and functions of the top 15 genes associated with EIF3M expression using the Ki Colon dataset.

Table IV.

Information and functions of the top 15 genes associated with EIF3M expression using the Ki Colon dataset.

GenesChromosomal locationEnsembl versionLocus typeFunctions
IPO711p15.4 ENSG00000205339Gene with protein productRibosome biogenesis related proteins; carcinogenesis (28)
SULT4A122q13.31 ENSG00000130540Gene with protein productNeuronal-associated genes; carcinogenesis (29)
GNE9p13.3 ENSG00000159921Gene with protein productGNE myopathy (30)
NOB116q22.1 ENSG00000141101Gene with protein productCarcinogenesis in colorectal cancer (31)
EIF2S220q11.22 ENSG00000125977Gene with protein productEssential for cell proliferation; regulators of oncogenesis (32)
UBA219q13.11 ENSG00000126261Gene with protein productCarcinogenesis (33)
ATIC2q35 ENSG00000138363Gene with protein productPolymorphisms in cancer (34)
CCT6B17q12 ENSG00000132141Gene with protein productImplicated in cancer (35)
CCT6P17q11.21 ENSG00000228409PseudogeneAssociated with sickle cell disease (36)
DARS2q21.3 ENSG00000115866Gene with protein productReinitiating DNA replication (37)
CCDC3411p14.1 ENSG00000109881Gene with protein productCarcinogenesis in colorectal cancer (38)
RNASEH2B13q14.3 ENSG00000136104Gene with protein productIts deletion related to cancer occurrence (39)
SNRPE1q32.1 ENSG00000182004Gene with protein productPoor prognostic indicator (40)
CDK75q13.2 ENSG00000134058Gene with protein productTranscriptional cyclin-dependent kinase; carcinogenesis (41)
SNRPB220p12.1 ENSG00000125870Gene with protein productmRNA splicing; carcinogenesis(42)

[i] EIF3M, eukaryotic initiation factor 3 subunit M.

Discussion

Colon cancer is the third most common malignancy and has become a great public health concern (1). In order to explore novel and valuable biomarkers for colon cancer, the present study investigated EIF3M expression and evaluated its clinicopathological and prognostic roles in patients with colon cancer. EIF3M is one of the most pivotal subunits of the EIF3 complex and accelerates protein synthesis and ribosomal recycling (6). A previous study revealed the elevated expression of EIF3M and other core subunits is indispensable to carcinogenesis. Goh et al (11) reported that EIF3M was upregulated in colon cancer and colon cancer cell lines. After knocking down EIF3M expression in the HCT-116 colon cancer cell line, proliferation was reduced and the apoptosis rate was promoted due to a prolonging of the sub-G0/G1 stage of the cell cycle (11). In concordance with previous studies, the current study proved that the expression of EIF3M in colon adenocarcinoma was significantly higher when compared with normal tissues. In addition, EIF3M expression was associated with tumor size and Dukes' stage. In Kaplan-Meier analysis and Cox regression analysis, the role of EIF3M in negatively influencing prognosis of patients with colon adenocarcinoma was confirmed. Therefore, positive EIF3M expression may indicate that patients with colon adenocarcinoma may be at a later Dukes' stage and have a worse prognosis.

Dukes' stage was first established in 1935, and is a traditional medical clinical classification, including stages A to D (13). Patients at stage A weren't treated with chemotherapy and patients at stage D had not received a radical resection. To more accurately assess the role of EIF3M in colon carcinoma, the current study only enrolled patients at stage B or C. Tumors at stage B invaded the serosa without any lymph node metastasis, whilst tumors at stage C invaded the serosa with lymph node metastasis. The influence of EIF3M expression on lymph node metastasis was not assessed separately. In this study, positive EIF3M expression was higher in colon adenocarcinoma patients at stage C than those at stage B. In addition, Dukes' stage was an independent factor of OS and DFS, which suggested that colon adenocarcinoma patients with positive EIF3M expression in tumors had a worse prognosis. Hence, further research is required to identify if EIF3M could be used as a therapeutic target for anticancer drugs. As serum levels of EIF3M could be found in the blood, further studies are needed to evaluate the role of EIF3M in monitoring of colon cancer.

A study by Goh et al (11) has demonstrated the molecular mechanism of EIF3M in colon cancer. MIF and MT2 expression was found to be downregulated when EIF3M was knocked down in the HCT-116 colon cancer cell line (11). MIF not only plays a critical role in inflammation and immunity by deregulating the inhibitory effect of glucocorticoids, but is also associated with tumorigenesis and tumor growth (19,20). MT2 is a member of the metallothionein family that performs a plethora of metal ion-related events in stress responses, tumorigenesis, neurodegeneration and inflammation (21). A previous study demonstrated that MT2 is involved in cell migration, proliferation and angiogenesis and could be a novel regulator of vascular endothelial growth factor C expression (22). In addition, EIF3M knockdown interfered with cell cycle regulation and induced cell apoptosis by degradation of cell division cycle 25 homolog A (22).

It has been shown that other EIF3 subunits are also associated with colon cancer. EIF3A is overexpressed in colon tumors, and elevated EIF3A expression inhibits Caco-2 cell differentiation (23). EIF3B knockdown inhibits the proliferation and increases the apoptotic rate of SW1116 colon cancer cells (24). EIF3C gene knockdown suppresses the proliferation of RKO colon cancer cells; the cell cycle is arrested at G0/G1 stage and apoptosis is also induced (25). Knockdown of EIF3D inhibits proliferation of HCT116 colon cancer cells via modulating AMPKα, glycogen synthase kinase 3β and JNK (8). Knockdown of EIF3E reduces the proliferation and clonality of HCT116 cells and promotes cell apoptosis (26). In addition, high EIF3E expression might predict poor prognosis in colon cancer (26). Qi et al (27) demonstrated that EIF3I was a proto-oncogene in colon carcinoma, and worked by activating the β-catenin signaling pathway and upregulating cyclooxygenase 2. This body of research shows that translation initiation factors including EIF3A, EIF3B, EIF3C, EIF3D, EIF3E, EIF3I and EIF3M promote the formation of colon neoplasms. The present study demonstrated that EIF3M could be an indicator of poor prognosis in patients with colon adenocarcinoma. The prognostic role of all the subunits of the EIF3 complex should be investigated in the future. In conclusion, elevated EIF3M expression in patients with colon adenocarcinoma was associated with larger tumor size, Dukes' stage C, and worse OS and DFS rates. Therefore, upregulated EIF3M is a putative candidate biomarker for poor prognosis in colon adenocarcinoma patients.

Acknowledgements

Not applicable.

Funding

The present study was supported by the Kunshan Science and Technology Program of Social Development (grant no. KS1659) and the Binhai Science and Technology Program (grant no. BHKY201801).

Availability of data and materials

The datasets used and/or analyzed during the current study are available from the corresponding author on reasonable request.

Authors' contributions

QHW, MZ and FL conceived and designed the study. QHW, MZ, MHZ and XY performed the experiments and wrote the manuscript. QHW, XJG and FC analyzed the data. All authors read and approved the manuscript and agreed to be accountable for all aspects of the research in ensuring that the accuracy or integrity of any part of the work are appropriately investigated and resolved.

Ethics approval and consent to participate

The present study was approved by the Kunshan First People's Hospital Ethics Committee (Kunshan, China) and written informed consent was obtained from all patients.

Patient consent for publication

Not applicable.

Competing interests

The authors declare that they have no competing interests.

Glossary

Abbreviations

Abbreviations:

EIF3

eukaryotic initiation factor 3

IRS

immunoreactivity score

OS

overall survival

DFS

disease free survival

AMPKα

AMP-activated protein kinase α

MIF

migration inhibitory factor

MT2

metallothionein 2

References

1 

Siegel RL, Miller KD and Jemal A: Cancer statistics, 2018. CA Cancer J Clin. 68:7–30. 2018. View Article : Google Scholar : PubMed/NCBI

2 

Papagiorgis PC, Zizi AE, Tseleni S, Oikonomakis IN and Nikiteas NI: The pattern of epidermal growth factor receptor variation with disease progression and aggressiveness in colorectal cancer depends on tumor location. Oncol Lett. 3:1129–1135. 2012. View Article : Google Scholar : PubMed/NCBI

3 

Bae JM, Kim JH, Cho NY, Kim TY and Kang GH: Prognostic implication of the CpG island methylator phenotype in colorectal cancers depends on tumour location. Br J Cancer. 109:1004–1012. 2013. View Article : Google Scholar : PubMed/NCBI

4 

Cate JH: Human eIF3: From ‘blobology’ to biological insight. Philos Trans R Soc Lond B Biol Sci. 372(pii): 201601762017. View Article : Google Scholar : PubMed/NCBI

5 

Lee AS, Kranzusch PJ, Doudna JA and Cate JH: eIF3d is an mRNA cap-binding protein that is required for specialized translation initiation. Nature. 536:96–99. 2016. View Article : Google Scholar : PubMed/NCBI

6 

Gomes-Duarte A, Lacerda R, Menezes J and Romão L: eIF3: A factor for human health and disease. RNA Biol. 15:26–34. 2018. View Article : Google Scholar : PubMed/NCBI

7 

Haybaeck J, O'Connor T, Spilka R, Spizzo G, Ensinger Ch, Mikuz G, Brunhuber T, Vogetseder A, Theurl I, Salvenmoser W, et al: Overexpression of p150, a part of the large subunit of the eukaryotic translation initiation factor 3, in colon cancer. Anticancer Res. 30:1047–1055. 2010.PubMed/NCBI

8 

Yu X, Zheng B and Chai R: Lentivirus-mediated knockdown of eukaryotic translation initiation factor 3 subunit D inhibits proliferation of HCT116 colon cancer cells. Biosci Rep. 34:e001612014. View Article : Google Scholar : PubMed/NCBI

9 

Zeng L, Wan Y, Li D, Wu J, Shao M, Chen J, Hui L, Ji H and Zhu X: The m subunit of murine translation initiation factor EIF3Maintains the integrity of the eIF3 complex and is required for embryonic development, homeostasis, and organ size control. J Biol Chem. 288:30087–30093. 2013. View Article : Google Scholar : PubMed/NCBI

10 

Valášek LS, Zeman J, Wagner S, Beznosková P, Pavlíková Z, Mohammad MP, Hronová V, Herrmannová A, Hashem Y and Gunišová S: Embraced by eIF3: Structural and functional insights into the roles of eIF3 across the translation cycle. Nucleic Acids Res. 45:10948–10968. 2017. View Article : Google Scholar : PubMed/NCBI

11 

Goh SH, Hong SH, Hong SH, Lee BC, Ju MH, Jeong JS, Cho YR, Kim IH and Lee YS: eIF3m expression influences the regulation of tumorigenesis-related genes in human colon cancer. Oncogene. 30:398–409. 2011. View Article : Google Scholar : PubMed/NCBI

12 

Brill E, Gobble R, Angeles C, Lagos-Quintana M, Crago A, Laxa B, Decarolis P, Zhang L, Antonescu C, Socci ND, et al: ZIC1 overexpression is oncogenic in liposarcoma. Cancer Res. 70:6891–6901. 2010. View Article : Google Scholar : PubMed/NCBI

13 

Jorissen RN, Gibbs P, Christie M, Prakash S, Lipton L, Desai J, Kerr D, Aaltonen LA, Arango D, Kruhøffer M, et al: Metastasis-associated gene expression changes predict poor outcomes in patients with dukes stage B and C colorectal cancer. Clin Cancer Res. 15:7642–7651. 2009. View Article : Google Scholar : PubMed/NCBI

14 

Livak KJ and Schmittgen TD: Analysis of relative gene expression data using real-time quantitative PCR and the 2(-Delta Delta C(T)) method. Methods. 25:402–408. 2001. View Article : Google Scholar : PubMed/NCBI

15 

Skrzypczak M, Goryca K, Rubel T, Paziewska A, Mikula M, Jarosz D, Pachlewski J, Oledzki J and Ostrowski J: Modeling oncogenic signaling in colon tumors by multidirectional analyses of microarray data directed for maximization of analytical reliability. PLoS One. 5(pii): e130912010. View Article : Google Scholar : PubMed/NCBI

16 

Graudens E, Boulanger V, Mollard C, Mariage-Samson R, Barlet X, Grémy G, Couillault C, Lajémi M, Piatier-Tonneau D, Zaborski P, et al: Deciphering cellular states of innate tumor drug responses. Genome Biol. 7:R192006. View Article : Google Scholar : PubMed/NCBI

17 

Ki DH, Jeung HC, Park CH, Kang SH, Lee GY, Lee WS, Kim NK, Chung HC and Rha SY: Whole genome analysis for liver metastasis gene signatures in colorectal cancer. Int J Cancer. 121:2005–2012. 2007. View Article : Google Scholar : PubMed/NCBI

18 

Hong Y, Downey T, Eu KW, Koh PK and Cheah PY: A ‘metastasis-prone’ signature for early-stage mismatch-repair proficient sporadic colorectal cancer patients and its implications for possible therapeutics. Clin Exp Metastasis. 27:83–90. 2010. View Article : Google Scholar : PubMed/NCBI

19 

Calandra T and Bucala R: Macrophage migration inhibitory factor (MIF): A glucocorticoid counter-regulator within the immune system. Crit Rev Immunol. 37:359–370. 2017. View Article : Google Scholar : PubMed/NCBI

20 

Bach JP, Deuster O, Balzer-Geldsetzer M, Meyer B, Dodel R and Bacher M: The role of macrophage inhibitory factor in tumorigenesis and central nervous system tumors. Cancer. 115:2031–2040. 2009. View Article : Google Scholar : PubMed/NCBI

21 

Atrian S and Capdevila M: Metallothionein-protein interactions. Biomol Concepts. 4:143–160. 2013. View Article : Google Scholar : PubMed/NCBI

22 

Schuermann A, Helker CS and Herzog W: Metallothionein 2 regulates endothelial cell migration through transcriptional regulation of vegfc expression. Angiogenesis. 18:463–475. 2015. View Article : Google Scholar : PubMed/NCBI

23 

Liu Z, Dong Z, Yang Z, Chen Q, Pan Y, Yang Y, Cui P, Zhang X and Zhang JT: Role of eIF3a (eIF3 p170) in intestinal cell differentiation and its association with early development. Differentiation. 75:652–661. 2007. View Article : Google Scholar : PubMed/NCBI

24 

Wang Z, Chen J, Sun J, Cui Z and Wu H: RNA interference-mediated silencing of eukaryotic translation initiation factor 3, subunit B (EIF3B) gene expression inhibits proliferation of colon cancer cells. World J Surg Oncol. 10:1192012. View Article : Google Scholar : PubMed/NCBI

25 

Song N, Wang Y, Gu XD, Chen ZY and Shi LB: Effect of siRNA-mediated knockdown of eIF3c gene on survival of colon cancer cells. J Zhejiang Univ Sci B. 14:451–459. 2013. View Article : Google Scholar : PubMed/NCBI

26 

Li Z, Lin S, Jiang T, Wang J, Lu H, Tang H, Teng M and Fan J: Overexpression of eIF3e is correlated with colon tumor development and poor prognosis. Int J Clin Exp Pathol. 7:6462–6474. 2014.PubMed/NCBI

27 

Qi J, Dong Z, Liu J and Zhang JT: EIF3i promotes colon oncogenesis by regulating COX-2 protein synthesis and β-catenin activation. Oncogene. 33:4156–4163. 2014. View Article : Google Scholar : PubMed/NCBI

28 

Monteleone F, Taverna S, Alessandro R and Fontana S: SWATH-MS based quantitative proteomics analysis reveals that curcumin alters the metabolic enzyme profile of CML cells by affecting the activity of miR-22/IPO7/HIF-1α axis. J Exp Clin Cancer Res. 37:1702018. View Article : Google Scholar : PubMed/NCBI

29 

Sun Z, Li H, Shu XH, Shi H, Chen XY, Kong QY, Wu ML and Liu J: Distinct sulfonation activities in resveratrol-sensitive and resveratrol-insensitive human glioblastoma cells. FEBS J. 279:2381–2392. 2012. View Article : Google Scholar : PubMed/NCBI

30 

Wu Y, Yuan L, Guo Y, Lu A, Zheng W, Xu H, Yang Y, Hu P, Gu S, Wang B and Deng H: Identification of a GNE homozygous mutation in a Han-Chinese family with GNE myopathy. J Cell Mol Med. 22:5533–5538. 2018. View Article : Google Scholar : PubMed/NCBI

31 

He XW, Feng T, Yin QL, Jian YW and Liu T: NOB1 is essential for the survival of RKO colorectal cancer cells. World J Gastroenterol. 21:868–877. 2015. View Article : Google Scholar : PubMed/NCBI

32 

Gatza ML, Silva GO, Parker JS, Fan C and Perou CM: An integrated genomics approach identifies drivers of proliferation in luminal-subtype human breast cancer. Nat Genet. 46:1051–1059. 2014. View Article : Google Scholar : PubMed/NCBI

33 

Jiang B, Fan X, Zhang D, Liu H and Fan C: Identifying UBA2 as a proliferation and cell cycle regulator in lung cancer A549 cells. J Cell Biochem. 120:12752–12761. 2019. View Article : Google Scholar : PubMed/NCBI

34 

Choi R, Sohn I, Kim MJ, Woo HI, Lee JW, Ma Y, Yi ES, Koo HH and Lee SY: Pathway genes and metabolites in thiopurine therapy in Korean children with acute lymphoblastic leukaemia. Br J Clin Pharmacol. 85:1585–1597. 2019. View Article : Google Scholar : PubMed/NCBI

35 

Love C, Sun Z, Jima D, Li G, Zhang J, Miles R, Richards KL, Dunphy CH, Choi WW, Srivastava G, et al: The genetic landscape of mutations in Burkitt lymphoma. Nat Genet. 44:1321–1325. 2012. View Article : Google Scholar : PubMed/NCBI

36 

Liu FF, Tu TT, Zhang HF, Hu F, Huang L, Deng LF, Guo M, Wei Q and Li K: Coexpression network analysis of platelet genes in sickle cell disease. Platelets. 30:1022–1029. 2019. View Article : Google Scholar : PubMed/NCBI

37 

Katayama T, Kasho K and Kawakami H: The DnaA cycle in Escherichia coli: Activation, function and inactivation of the initiator protein. Front Microbiol. 8:24962017. View Article : Google Scholar : PubMed/NCBI

38 

Geng W, Liang W, Fan Y, Ye Z and Zhang L: Overexpression of CCDC34 in colorectal cancer and its involvement in tumor growth, apoptosis and invasion. Mol Med Rep. 17:465–473. 2018.PubMed/NCBI

39 

Zimmermann M, Murina O, Reijns MAM, Agathanggelou A, Challis R, Tarnauskaitė Ž, Muir M, Fluteau A, Aregger M, McEwan A, et al: CRISPR screens identify genomic ribonucleotides as a source of PARP-trapping lesions. Nature. 559:285–289. 2018. View Article : Google Scholar : PubMed/NCBI

40 

Tapak L, Saidijam M, Sadeghifar M, Poorolajal J and Mahjub H: Competing risks data analysis with high-dimensional covariates: An application in bladder cancer. Genomics Proteomics Bioinformatics. 13:169–176. 2015. View Article : Google Scholar : PubMed/NCBI

41 

Wang Y, Zhang T, Kwiatkowski N, Abraham BJ, Lee TI, Xie S, Yuzugullu H, Von T, Li H, Lin Z, et al: CDK7-dependent transcriptional addiction in triple-negative breast cancer. Cell. 163:174–186. 2015. View Article : Google Scholar : PubMed/NCBI

42 

Rozanov DV, Savinov AY, Williams R, Liu K, Golubkov VS, Krajewski S and Strongin AY: Molecular signature of MT1-MMP: Transactivation of the downstream universal gene network in cancer. Cancer Res. 68:4086–896. 2008. View Article : Google Scholar : PubMed/NCBI

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January-2020
Volume 19 Issue 1

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Online ISSN:1792-1082

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Copy and paste a formatted citation
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Spandidos Publications style
Wang QH, Zhang M, Zhou MH, Gao XJ, Chen F, Yan X and Lu F: High expression of eukaryotic initiation factor 3M predicts poor prognosis in colon adenocarcinoma patients. Oncol Lett 19: 876-884, 2020.
APA
Wang, Q., Zhang, M., Zhou, M., Gao, X., Chen, F., Yan, X., & Lu, F. (2020). High expression of eukaryotic initiation factor 3M predicts poor prognosis in colon adenocarcinoma patients. Oncology Letters, 19, 876-884. https://doi.org/10.3892/ol.2019.11164
MLA
Wang, Q., Zhang, M., Zhou, M., Gao, X., Chen, F., Yan, X., Lu, F."High expression of eukaryotic initiation factor 3M predicts poor prognosis in colon adenocarcinoma patients". Oncology Letters 19.1 (2020): 876-884.
Chicago
Wang, Q., Zhang, M., Zhou, M., Gao, X., Chen, F., Yan, X., Lu, F."High expression of eukaryotic initiation factor 3M predicts poor prognosis in colon adenocarcinoma patients". Oncology Letters 19, no. 1 (2020): 876-884. https://doi.org/10.3892/ol.2019.11164