Literature DB >> 33116631

WDR5 Promotes Proliferation and Correlates with Poor Prognosis in Oesophageal Squamous Cell Carcinoma.

Di Huang1, Xue Chen1, Xuan Chen1, Yan Qu1, Yuanyuan Wang2, Yafei Yang3, Yufeng Cheng1.   

Abstract

BACKGROUND: The WD40 protein family member WD repeat domain 5 (WDR5) plays significant roles in the tumorigenesis and development of multiple organ tumours. However, the correlation between WDR5 expression and oesophageal squamous cell carcinoma (ESCC) has not been elucidated.
METHODS: WDR5 mRNA expression data were acquired from The Cancer Genome Atlas (TCGA) database, and the expression and prognostic potential of WDR5 were assessed by immunohistochemistry (IHC) and Western blot. The cell counting kit-8 (CCK-8), colony formation assay and cell cycle evaluation were performed to verify the WDR5 function in vitro. The xenograft model was used to verify WDR5 function in vivo.
RESULTS: The mRNA and protein expression levels of WDR5 were significantly upregulated in ESCC tissues compared with expression in adjacent normal tissues. Kaplan-Meier analysis showed that high WDR5 expression in ESCC patients was associated with poor overall survival (P=0.004). Multivariate analysis revealed that WDR5 overexpression emerged as an independent predictor of poor overall survival (P=0.013) in ESCC. The in vitro and in vivo experiments revealed that downregulation of WDR5 expression blocked cell proliferation of ESCC. Mechanistically, we found that WDR5 may influence ESCC proliferation by targeting the PI3K/AKT/mTOR signalling pathway.
CONCLUSION: Our data demonstrate that overexpression of WDR5 was associated with poor prognosis in patients with ESCC and that WDR5 may act as a potential novel prognostic biomarker for ESCC.
© 2020 Huang et al.

Entities:  

Keywords:  WDR5; oesophageal squamous cell carcinoma; prognosis; proliferation

Year:  2020        PMID: 33116631      PMCID: PMC7573303          DOI: 10.2147/OTT.S234773

Source DB:  PubMed          Journal:  Onco Targets Ther        ISSN: 1178-6930            Impact factor:   4.147


Introduction

Oesophageal cancer is one of the most common malignancies globally. This disease ranks seventh in terms of incidence (572,000 new cases) and sixth in mortality overall (509,000 deaths) worldwide.1 The most common oesophageal cancer histologic subtype in China is squamous cell carcinoma, which usually comprises over 90% of all oesophageal cancer cases.2 Oesophageal squamous cell carcinoma (ESCC) is difficult to treat successfully and has a poor prognosis as a result of the difficulty of early diagnosis; additionally, many patients have metastases at diagnosis. The 5-year overall survival (OS) rate ranges from 15% to 25%.3 Hence, there is an urgent need to find predictive, prognostic and therapeutic markers for oesophageal cancer. WDR5 is one of the most famous proteins in the WD40 protein family and plays significant roles not only in the development of vertebrates4,5 but also in the tumorigenesis and development of multiple organ tumours.6,7 WDR5, together with the histone methyltransferase MLL1 and SET1 families,8 forms a functional complex, which catalyses the methylation of H3K49 and then promotes gene transcription and influences many biological behaviours of tumours, such as proliferation and invasion.7 In addition, WDR5 can regulate the expression of the p5310 and notch11 signalling pathways or interact with MYC protein,12,13 a principal driver of the development and progression of tumours. However, the correlation between WDR5 expression and ESCC has not been elucidated. In the present study, we aimed to evaluate the expression of WDR5 in ESCC as well as its prognostic implications.

Materials and Methods

Cell Lines and Materials

The ESCC cell line KYSE-150 was purchased from the China Centre for Type Culture Collection (Beijing, China). KYSE-150 cells were cultured in RPMI-1640 medium (Gibco, Life Technologies Inc., Grand Island, NY, USA) supplemented with 10% foetal bovine serum (Gibco; Thermo Fisher Scientific, Inc.) at 37°C in a humidified 5% CO2 atmosphere.

Colony Formation Assay

Transfected KYSE-150 cells were trypsinized into single-cell suspensions and plated in six-well culture plates at 500 cells/well. After the cells were cultured for two weeks, they were fixed with methanol and then stained with crystal violet. We then calculated the number of colonies. At least 50 cells were defined as clone formation.

Cell Cycle Analysis

Each group of transfected cells was inoculated into 6-well plates at 3 × 10^5 cells/well. Cells were washed twice with pre-cooled PBS. Next, the cells were fixed with pre-cooled 70% ethanol and stored at −20°C for 1 hour. The cells were washed twice with pre-cooled PBS. Then, 200 μL of pre-cooled PBS was used to prepare the cell suspension. The cells were mixed with 20 µL of RNase A solution in a 37°C water bath for 30 min. Then, 400 µL of PI was added to each tube and incubated at 4°C for 30 min in the dark. The cycle distribution of each group of cells was measured by flow cytometry. The results were analysed by the ModFit software.

Western Blot Analysis

Different groups of cells were treated with RIPA lysate, and the extracted protein concentration was determined by the BCA protein concentration assay kit. The protein sample was mixed with the loading buffer and denatured in a boiling water bath for 10 minutes. Samples were electrophoresed on 10% SDS-PAGE gels and then transferred to PVDF membranes on ice. After blocking in 5% dry milk for 90 minutes, membranes were incubated with the primary antibody overnight at 4°C on a shaker. Membranes were incubated with horseradish peroxidase-labelled secondary antibody at room temperature for 1 h. The bands were detected by the chemiluminescence detection system. The primary antibodies included WDR5 (1 µg/mL, AF5810, R&D), β-actin (1:1000 dilution, sc-58673, Santa Cruz Biotechnology), mTOR (1:1000, 2983, Cell Signalling Technology), p-mTOR (1:1000, 5536, Cell Signalling Technology), PI3K (1:1000, 4249, Cell Signalling Technology), p-PI3K (1:1000, ab182651, abcam), AKT (1:2000, 2920, Cell Signalling Technology), p-AKT (1:2000, 4060, Cell Signalling Technology), P70S6K (1:1000, 2708, Cell Signalling Technology), p-P70S6K (1:1000, 9204, Cell Signalling Technology), S6 (1:1000, 2217, Cell Signalling Technology), p-S6 (1:2000, 4858, Cell Signalling Technology), and Cyclin D1 (1:1000, 55506, Cell Signalling Technology).

Cell Counting Kit-8 (CCK-8) Assay

The two groups of cells were inoculated into a 96-well cell culture plate at 1 x 10^4 cells/mL, and 200 μL of cell suspension was added to each well and then cultured at 37°C in a 5% CO2 incubator for 0, 1, 2, 3, and 4 days. Ten micrilitre of CCK-8 reagent were added to each well, and after incubation at 37°C for 2 h, the absorbance was measured on a microplate reader at 450 nm, and the optical density (OD) values of each group were recorded. The cell proliferation rate was calculated as follows: Cell proliferation rate = (transfection group cell OD/control cell OD) × 100%

Immunohistochemistry (IHC)

The oesophageal cancer tissue was soaked with 10% formaldehyde and embedded in paraffin to make a 4μm paraffin section. Paraffin sections were routinely dewaxed and rehydrated, and citrate-EDTA buffer (2 mM EDTA, 10 mM citric acid, 0.05% Tween 20, pH 6.2) was used for antigen retrieval. Sections were incubated at room temperature with hydrogen peroxide to block peroxidase. Then, the anti-WDR5 antibody (5 µg/mL, AF5810, R&D) or anti-Ki-67 (1:800, 9449, Cell Signalling Technology) was applied to the sections at 4°C overnight. The sections were incubated with biotinylated secondary antibodies to react with horseradish peroxidase (HRP)-labelled streptomycin anti-biotin proteins. The sections were then stained with DAB and stained with haematoxylin. Two pathologists assessed the staining intensity of the stained slides using a blind method without knowing the patient’s basic information or clinical characteristics. Five fields were randomly selected under high power microscopy, and the number of positive cells was counted and averaged. The staining intensity and number of positive cells were used to calculate the IHC score. The staining degree was divided into the following groups: 0 (no staining), 1 (weak staining), 2 (medium staining), and 3 (strong staining). The number of positive cells was divided into 0 (<5%), 1 (5–25%), 2 (26–50%), 3 (51–75%), and 4 (>75%). The arithmetic product of the two scores is designated as the final score: 0–1 (-), 2–4 (+), 5–8 (++) and 9–12 (+++). Samples with a 9–12 (+++) score were regarded as overexpressed.

Cell Transfection

We purchased lentiviruses (GenePharma, Inc.) expressing a shRNA form of WDR5. The ESCC cell lines were seeded in 6-well plates (3*10^5/well) and incubate for 24h. The shRNA targeting WDR5 lentiviruses was transfected into cells with 5mg/mL polybrene (GenePharma). Puromycin selection (2 mg/mL) was applied to select stably transduced cells. Western blotting was performed to confirm the knockdown of WDR5. The sequences of shRNA were as follows: shNC sense sequences: 5ʹ-UUCUCCGAACGUGUCACGUTT-3ʹ; shNC anti-sense sequences: 5ʹ-ACGUGACACGUUCGGAGAATT-3ʹ; shWDR5 sense sequences: 5ʹ-CACCUGUGAGCCAAACUATT-3ʹ; shWDR5 anti-sense sequences: 5ʹ-UAGUUUGGCUUCACAGGUGTT-3ʹ

Patients and Tissue Samples

Primary tumour tissues and corresponding adjacent tissues were obtained from 104 patients diagnosed with ESCC at Qilu Hospital of Shandong University from January 2008 to December 2008. Patients were selected according to the following inclusion criteria: (i) patients who underwent radical resection with a clear surgical margin; (ii) patients with available formalin-fixed tumour tissues, follow-up information and complete medical records; (iii) no patients received neoadjuvant therapy; and (iv) patients with no history of other malignancies. All samples were verified by pathological evaluation. All 104 patients were followed for at least 5 years. The tumour staging was in accordance with the American Joint Committee on Cancer (AJCC, 7th edition).

Human Oesophageal Cancer Xenograft

Ten female athymic nude mice (6–8 weeks old, BALB/c-nu/nu) were randomly assigned to one of two groups of 5 mice each: KYSE-150-shNC and KYSE-150-shWDR5. ESCC cells (4 x 10^6 in 0.1 mL of complete medium) were injected subcutaneously into the right dorsal side of each mouse. The mice were euthanized after three weeks to harvest the tumours. All mouse protocols were approved by the Animal Care and Use Committee of Shandong University, and conducted according to the guidelines of the National Animal Welfare Law of China.

Statistical Analysis

Statistical analysis was performed using SPSS software (Statistical Package for Social Sciences, Chicago, IL, USA). The correlation between WDR5 and clinicopathological factors was determined by the bilateral Χ2 test. Survival curves were obtained using the Kaplan-Meier method and log-rank test, and differences between subgroups were compared. Univariate and multivariate Cox regression analyses were used to assess risk ratios (HRs). P <0.05 was considered statistically significant.

Ethics Statement

The research protocol of the present study was approved by the Ethics Committee of Qilu Hospital, and all patients signed written informed consent before enrolment. Patient information was anonymized and unidentifiable prior to analysis.

Results

WDR5 Was Overexpressed in ESCC Tissues

According to the TCGA database (), WDR5 is upregulated in ESCC tissues compared with that in normal tissues (Figure 1A, P<0.001). We used Western blot analysis to detect protein levels between 12 ESCC tissues and 12 adjacent normal tissue samples. It was found that the protein levels of WDR5 expression in 8 of the 12 pairs of ESCC tissues were significantly higher than those in adjacent normal tissues (Figure 1B). Then, we measured WDR5 expression in 104 ESCC tissue samples by immunohistochemical staining and found that WDR5 was expressed at low levels in 48 (46.15%) ESCC samples, and the remaining 56 (53.85%) samples maintained high-expression levels (Figure 1C). These results indicate that the expression of WDR5 was significantly upregulated in ESCC tissues.
Figure 1

(A) WDR5 mRNA expression data in ESCA acquired from TCGA. (B) Western blot analysis of WDR5 in 12 pairs of adjacent normal tissues and ESCC tissues. β-actin was employed as a loading control. (C) Representative immunohistochemical staining of WDR5 for ESCC tissues: low expression and high expression. (D) Kaplan–Meier curve for OS in ESCC (P=0.004).

(A) WDR5 mRNA expression data in ESCA acquired from TCGA. (B) Western blot analysis of WDR5 in 12 pairs of adjacent normal tissues and ESCC tissues. β-actin was employed as a loading control. (C) Representative immunohistochemical staining of WDR5 for ESCC tissues: low expression and high expression. (D) Kaplan–Meier curve for OS in ESCC (P=0.004).

Relationship Between WDR5 Expression and Corresponding Clinical Pathological Features

The study included 104 patients, and all patients were from Qilu Hospital. Among the 104 ESCC patients, 56 patients were in the WDR5 high-expression group (score 9–12), and 46 were in the low-expression group (score ≤8). To assess the clinical significance of WDR5, we used the chi-square test to analyse the association between WDR5 expression and clinical pathological features in ESCC. The results showed that high expression of WDR5 in ESCC tissues was associated with T stage (P = 0.032) and TNM stage (P = 0.038). However, no significant correlation was found between WDR5 expression and other clinicopathological features, including age, sex, smoking, drinking, lymphatic metastasis, distant metastasis, and degree of differentiation (Table 1).
Table 1

The Correlations of Clinicopathologic Features of ESCC with WDR5 Expression in FFPE Cancerous Tissues

Clinicopathological FeaturesWDR5 OverexpressionP- valuea
NO(n=48)YES(n=56)
Gender0.667
 Male3644
 Female1212
Age, year0.164
 <602031
 ≥602825
Drinking0.320
 NO3232
 YES1624
Smoking0.585
 NO2431
 YES2425
Differentiation0.084
 Well-moderate3633
 Poor1223
TNM stage0.038
 I–II3226
 III–IV1630
T stage0.032
 I–II2922
 III–IV1934
N stage0.094
 03127
 ≥11739

Notes: P-valuea, chi-square test; P-values in bold print are indicative of significant correlations.

The Correlations of Clinicopathologic Features of ESCC with WDR5 Expression in FFPE Cancerous Tissues Notes: P-valuea, chi-square test; P-values in bold print are indicative of significant correlations.

High Expression of WDR5 Predicts Poor Prognosis in ESCC

To investigate the prognostic impact of WDR5, Kaplan-Meier survival curves and log rank tests were used to analyse the overall survival (OS) of ESCC patients. The results showed that for all 104 samples, high expression of WDR5 was negatively correlated with OS (P = 0.004) (Figure 1D). In addition, univariate and multivariate analyses were performed to confirm that WDR5 may be an independent risk factor for poor prognosis in 104 ESCC patients. Univariate Cox regression analysis showed that WDR5 expression (P=0.004), differentiation (P=0.033), T stage (P=0.001), N stage (P=0.001), and TNM stage (P=0.001) were significantly associated with overall survival (OS) (Table 2). Multivariate Cox regression analysis confirmed that WDR5 expression (P=0.013), T stage (P=0.008) and TNM stage (P=0.009) were independent predictors of OS in WDR5 patients (Table 2). That is, patients with low expression of WDR5 have a longer survival time than do patients with high WDR5 expression.
Table 2

Univariate and Multivariate Analyses Showing the Overall Survival in Esophageal Cancer

VariablesOS
Univariate AnalysisMultivariate Analysis
HR95% CIP-valueHR95% CIP-value
Gender (female vs male)0.2250.458–1.3920.799
Age, year (<60 vs ≥60)0.5270.370–0.9420.590
Drinking (YES vs NO)0.0050.626–1.6150.983
Smoking (YES vs NO)0.1410.545–1.3830.869
Differentiation (well + moderate vs poor)0.5191.044–2.7050.0330.2610.779–2.1620.317
T stage (T1+T2 VS T3+T4)1.0751.789–4.8000.0010.7301.205–3.5730.008
N stage (negative vs positive)1.1141.893–4.9020.0010.0980.483–2.5180.815
TNM stage (I–II vs III–IV)1.4432.589–6.8790.0011.1841.352–7.8950.009
WDR5 (low vs high)0.7061.258–3.2260.0040.6641.115–3.2840.013

Note: The bold number represents the P-values with significant differences.

Abbreviations: OS, overall survival; HR, hazard ratio; CI, confidence interval.

Univariate and Multivariate Analyses Showing the Overall Survival in Esophageal Cancer Note: The bold number represents the P-values with significant differences. Abbreviations: OS, overall survival; HR, hazard ratio; CI, confidence interval.

WDR5 Promotes ESCC Cell Proliferation and Enhances the Cell Cycle in vitro

The KYSE-150 and KYSE-140 cell lines with high WDR5 expression were selected to knockdown the expression of WDR5, and we detected the transfection efficiency of shWDR5 using Western blotting (Figure 2A). The WDR5 protein was lower in the shWDR5 transfected group than that in the shNC group. The biological function of WDR5 in ESCC cell proliferation was detected by the CCK-8 and colony formation assays. The CCK-8 assay results showed that the proliferation index of the shWDR5 group was significantly lower than that of the shNC group (Figure 2B). This finding in the CCK-8 assay is consistent with the colony formation assay, and the number of clones was lower when WDR5 was downregulated (Figure 2C and D). We found that cyclin D1 in KYSE-150 shWDR5 group was lower than that in the shNC group (Figure 2E), and we detected the status of the cell cycle in these two groups. As a result of flow cytometry, we found that downregulated expression of WDR5 could lead to G1/S phase arrest (Figure 2F).
Figure 2

Downregulation effect of shWDR5 in vitro. (A) Expression of WDR5 protein in KYSE-150 and KYSE-140 cells were downregulated after shWDR5 transfection. (B) The result of the CCK-8 assay in ESCC cells. (C and D) The result of the colony formation assay in ESCC cells. (E) Cyclin D1 protein expression was examined by Western blot assay in KYSE-150 WDR5-downregulated cell lines. (F) The percentage of cells in Go/G1, S and G2/M phase from different groups. **, *** and **** represent P<0.01, P<0.001 and P<0.0001 respectively, between the indicated subgroups. Significance was calculated with Student’s t-test.

Downregulation effect of shWDR5 in vitro. (A) Expression of WDR5 protein in KYSE-150 and KYSE-140 cells were downregulated after shWDR5 transfection. (B) The result of the CCK-8 assay in ESCC cells. (C and D) The result of the colony formation assay in ESCC cells. (E) Cyclin D1 protein expression was examined by Western blot assay in KYSE-150 WDR5-downregulated cell lines. (F) The percentage of cells in Go/G1, S and G2/M phase from different groups. **, *** and **** represent P<0.01, P<0.001 and P<0.0001 respectively, between the indicated subgroups. Significance was calculated with Student’s t-test.

WDR5 Promotes ESCC Cell Tumorigenicity in vivo

To further verify the role of WDR5 in vivo, 10 mice were divided randomly into 2 groups. Then, shNC and shWDR5 KYSE-150 cells were injected subcutaneously into BALB/c nude mice. As shown in Figure 3A–C, the volume and weight of xenograft shWDR5 tumours were obviously smaller than those in the control group. In addition, we further examined the WDR5 expression levels in tumour tissues from nude mouse tumours by IHC analyses (Figure 3D). Compared to in vitro studies, WDR5 expression was observed to have a similar trend in in vivo experiments, which also indicates that WDR5 regulates the proliferation of ESCC. IHC demonstrated that the proliferation marker Ki-67 (Figure 3E) in the shWDR5 group was reduced in xenograft models.
Figure 3

Downregulation effect of shWDR5 in vivo. (A) Images of tumours from xenograft tumour models established with shWDR5 and its control cells. (B and C) Tumour weight and tumour volume statistical analysis of shWDR5 and its control cells. (D) Representative immunohistochemical staining of WDR5 for tumours from xenograft tumour models. (E) Representative immunohistochemical staining of Ki-67 for tumours from xenograft models. ** and *** represent P<0.01 and P<0.001 respectively, between the indicated subgroups.

Downregulation effect of shWDR5 in vivo. (A) Images of tumours from xenograft tumour models established with shWDR5 and its control cells. (B and C) Tumour weight and tumour volume statistical analysis of shWDR5 and its control cells. (D) Representative immunohistochemical staining of WDR5 for tumours from xenograft tumour models. (E) Representative immunohistochemical staining of Ki-67 for tumours from xenograft models. ** and *** represent P<0.01 and P<0.001 respectively, between the indicated subgroups.

WDR5 May Enhance ESCC Cell Proliferation via the PI3K/AKT/mTOR Pathway

Given that WDR5 is associated with the PI3K/AKT pathway in other tumours14 and that the PI3K/AKT pathway is associated with proliferation of ESCC,15 we next examined the effect of knockdown of WDR5 on the PI3K/AKT pathway in KYSE-150 by Western blot (Figure 4A). As expected, Western blotting showed a decrease in p-AKT/AKT, p-PI3K/PI3K, p-mTOR/mTOR, p-P70S6K/P70S6K and p-S6/S6 after knockdown of WDR5 (Figure 4B). These results indicate that WDR5 affect the expression of PI3K/AKT/mTOR pathway. We speculate that WDR5 enhance ESCC cell proliferation may via the PI3K/AKT/mTOR pathway, but the specific regulatory mechanisms need to be further studied.
Figure 4

Effects of WDR5 on the PI3K/AKT/mTOR pathway in ESCC. (A) Western blot was performed to measure the expression of WDR5 and PI3K/AKT/mTOR pathway markers. (B) p-PI3K/PI3K, p-AKT/AKT, p-mTOR/mTOR, p-P70S6K/P70S6K, and p-S6/S6 expression ratios in shNC and shWDR5. * and ** represent P<0.05, P<0.01 respectively, between the indicated subgroups.

Effects of WDR5 on the PI3K/AKT/mTOR pathway in ESCC. (A) Western blot was performed to measure the expression of WDR5 and PI3K/AKT/mTOR pathway markers. (B) p-PI3K/PI3K, p-AKT/AKT, p-mTOR/mTOR, p-P70S6K/P70S6K, and p-S6/S6 expression ratios in shNC and shWDR5. * and ** represent P<0.05, P<0.01 respectively, between the indicated subgroups.

Discussion

Oesophageal cancer is one of the most common cancers worldwide. In recent years, with the increase in awareness and treatment of oesophageal cancer, morbidity and mortality have decreased, but oesophageal cancer is still the sixth leading cause of cancer death in the world.1 In China, the mortality of ESCC ranks fourth among all human tumours.16 WDR5 is a core subunit of the human MLL1-4 histone H3K4 methyltransferase complex.9 WDR5 forms complexes with MLL1, RBBP5, ASH2L and DPY30 and plays a key role in histone H3K4 trimethylation, chromatin remodelling, transcriptional activation of target genes, normal biology and diseases such as MLL rearrangement of leukaemia.7,17–19 WDR5 has been reported to play a role in many types of cancer. For instance, WDR5 has been shown to be clearly associated with colorectal cancer metastasis.14 WDR5 expression is increased in leukaemia patients, and high expression of WDR5 is associated with high-risk leukaemia.20 Although WDR5 has been shown to play a role in a variety of cancers, its role in human oesophageal cancer remains unclear. In this study, we first discovered that WDR5 is overexpressed in human ESCC tissues. Survival analysis showed that patients suffering from ESCC with high levels of WDR5 expression had shorter survival than patients with low WDR5 expression. Univariate and multivariate analysis showed that WDR5 may be an independent prognostic marker for ESCC. This suggests that WDR5 has a highly sensitive and specific prognostic value in ESCC. In addition, T staging and TNM staging are also correlated with the prognosis of ESCC patients. Our study also confirmed the correlation between T staging and TNM staging and WDR5 expression. These results raise the possibility of WDR5 serving as an ESCC oncogene. To reveal the effect of WDR5 in ESCC in vitro, we performed CCK-8 and colony formation assays. The proliferation index and number of colonies were lower in the shWDR5-transfected groups. These results indicated that knockdown of WDR5 expression can inhibit the proliferation of ESCC cells. Furthermore, this study suggests that the anti-cancer effect after knockdown of WDR5 may occur by inhibiting the cell cycle in KYSE-150. Cyclin D1 protein levels were reduced, and flow cytometry also demonstrated that the cell cycle was arrested in G1/S phase after knockdown of WDR5 expression. Our results are consistent with previous studies in other tumours.21 The PI3K-AKT pathway, which is widely known as an important intracellular signalling pathway, plays a dominant role in apoptosis and proliferation of tumour cells by regulating the activation of downstream targets.22,23 Precisely, the PI3K-AKT pathway has been shown to correlate with the genesis and progression of tumours as well as aggressive biological behaviours. In a previous study of colon cancer, WDR5 was found to be closely related to the PI3K-AKT pathway.14 Our previous studies also confirmed that RACK1 induces chemoresistance in ESCC by upregulating the PI3K/AKT pathway and Bcl-2 expression.15 Here, we report that WDR5 may regulate the development of ESCC through the PI3K/AKT/mTOR signalling pathway. However, we only demonstrated the correlation between the WDR5 knockdown and the activation of PI3K/Akt/mTOR pathway, no cause-and-effectiveness study was attempted. It is indeed possible that WDR5 may also target other signalling pathways or mechanisms in addition to the PI3K/AKT/mTOR pathway. Previous study showed that WDR5 regulates Cyclin D1 expression by H3K4me3 leading to cancer cell proliferation in gastric cancer cells.21 In this study, we also found knockdown the expression of WDR5 decrease the expression of Cyclin D1. These results are consistent with previous studies in other tumours. Therefore, we speculate that WDR5 may induces histoneH3K4 trimethylation at the Cyclin D1 gene promoter and Cyclin D1 gene transcription in ESCC, which may be one of the reasons for ESCC proliferation. A deeper understanding of tumorigenicity may be required to glean other potential functions of WDR5 in ESCC. In conclusion, WDR5 is critical for cell development, and its dysregulation is particularly important in ESCC. We demonstrate that WDR5 is upregulated in ESCC and promotes ESCC proliferation may through the PI3K/AKT/mTOR signalling pathway and Cyclin D1. This study shows that WDR5 is an important marker of ESCC and plays a key role in the development of ESCC.
  23 in total

Review 1.  The COMPASS family of histone H3K4 methylases: mechanisms of regulation in development and disease pathogenesis.

Authors:  Ali Shilatifard
Journal:  Annu Rev Biochem       Date:  2012       Impact factor: 23.643

2.  WDR5 positively regulates p53 stability by inhibiting p53 ubiquitination.

Authors:  Qingqing Xie; Zengpeng Li; Jianming Chen
Journal:  Biochem Biophys Res Commun       Date:  2017-04-13       Impact factor: 3.575

3.  Interaction with WDR5 promotes target gene recognition and tumorigenesis by MYC.

Authors:  Lance R Thomas; Qingguo Wang; Brian C Grieb; Jason Phan; Audra M Foshage; Qi Sun; Edward T Olejniczak; Travis Clark; Soumyadeep Dey; Shelly Lorey; Bethany Alicie; Gregory C Howard; Bryan Cawthon; Kevin C Ess; Christine M Eischen; Zhongming Zhao; Stephen W Fesik; William P Tansey
Journal:  Mol Cell       Date:  2015-03-26       Impact factor: 17.970

4.  Wdr5, a WD-40 protein, regulates osteoblast differentiation during embryonic bone development.

Authors:  Francesca Gori; Lauren G Friedman; Marie B Demay
Journal:  Dev Biol       Date:  2006-05-30       Impact factor: 3.582

5.  Discovery of a Highly Potent, Cell-Permeable Macrocyclic Peptidomimetic (MM-589) Targeting the WD Repeat Domain 5 Protein (WDR5)-Mixed Lineage Leukemia (MLL) Protein-Protein Interaction.

Authors:  Hacer Karatas; Yangbing Li; Liu Liu; Jiao Ji; Shirley Lee; Yong Chen; Jiuling Yang; Liyue Huang; Denzil Bernard; Jing Xu; Elizabeth C Townsend; Fang Cao; Xu Ran; Xiaoqin Li; Bo Wen; Duxin Sun; Jeanne A Stuckey; Ming Lei; Yali Dou; Shaomeng Wang
Journal:  J Med Chem       Date:  2017-06-12       Impact factor: 7.446

Review 6.  The MYC-WDR5 Nexus and Cancer.

Authors:  Lance R Thomas; Audra M Foshage; April M Weissmiller; William P Tansey
Journal:  Cancer Res       Date:  2015-09-17       Impact factor: 12.701

7.  MicroRNA‑495 regulates human gastric cancer cell apoptosis and migration through Akt and mTOR signaling.

Authors:  Jun Wang; Weiwei Feng; Yuanqiang Dong; Xiang Mao; Fenghua Guo; Fen Luo
Journal:  Oncol Rep       Date:  2018-09-21       Impact factor: 3.906

8.  Cancer statistics in China, 2015.

Authors:  Wanqing Chen; Rongshou Zheng; Peter D Baade; Siwei Zhang; Hongmei Zeng; Freddie Bray; Ahmedin Jemal; Xue Qin Yu; Jie He
Journal:  CA Cancer J Clin       Date:  2016-01-25       Impact factor: 508.702

9.  Structural basis for activity regulation of MLL family methyltransferases.

Authors:  Yanjing Li; Jianming Han; Yuebin Zhang; Fang Cao; Zhijun Liu; Shuai Li; Jian Wu; Chunyi Hu; Yan Wang; Jin Shuai; Juan Chen; Liaoran Cao; Dangsheng Li; Pan Shi; Changlin Tian; Jian Zhang; Yali Dou; Guohui Li; Yong Chen; Ming Lei
Journal:  Nature       Date:  2016-02-17       Impact factor: 49.962

10.  RACKI induces chemotherapy resistance in esophageal carcinoma by upregulating the PI3K/AKT pathway and Bcl-2 expression.

Authors:  Bowen Liu; Cong Wang; Pengxiang Chen; Bo Cheng; Yufeng Cheng
Journal:  Onco Targets Ther       Date:  2018-01-04       Impact factor: 4.147

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