Literature DB >> 29724991

HOXB9 promotes endometrial cancer progression by targeting E2F3.

Junhu Wan1, Hongyang Liu2, Quanling Feng2, Jun Liu3, Liang Ming4.   

Abstract

HOXB9, as a HOX family transcription factor, playing a significant role in embryonic development and cancer progression. However, the function of HOXB9 and its precise mechanism in regulating endometrial cancer progression remains unknown. Here, we demonstrated that the expression of HOXB9 was increased in endometrial cancer, and associated with histological grade and lymph node metastasis. In addition, elevated HOXB9 predicts a poor prognosis in endometrial cancer patients. Interestingly, bioinformatics analysis of TCGA cancer database showed that HOXB9 expression is positively correlated with E2F3 expression. Moreover, HOXB9 promoted E2F3 expression by directly targeting to its promoter. Furthermore, we found that knocking down E2F3 abolished the ability of HOXB9 in enhancing cell migration. Taken together, for the first, we demonstrated the function and mechanism of HOXB9 in regulating endometrial cancer progression, and indicated HOXB9 may be a novel prognostic marker of endometrial cancer.

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Year:  2018        PMID: 29724991      PMCID: PMC5938704          DOI: 10.1038/s41419-018-0556-3

Source DB:  PubMed          Journal:  Cell Death Dis            Impact factor:   8.469


Introduction

Endometrial cancer (EC) is one of the leading causes of gynecologic malignancies[1,2]. The patients present with high-grade tumors are aggressive, and frequently diagnosed with tumors spread beyond the uterus[3,4]. Surgery is the major treatment for EC, while it is quite important to develop new therapeutic strategies for EC[5]. The investigation of new molecular mechanisms in EC may be useful to identify new diagnostic and therapeutic targets. The HOX genes, encode a group of transcription factors, share a highly conserved homeobox domain. In vertebrates, the whole 39 HOX genes are identified and grouped into four clusters (HOXA, B, C and D)[6-8]. During embryogenesis, sequential HOX expression from 3ʹ to 5ʹ along the anterior­posterior (AP) axis could control body segmentation according to the rules of spatial and temporal collinearity[8-11]. In particular, HOXB9 together with other HOX genes controls the specification of thoracic skeletal elements and mammary gland development[12,13]. In addition to its key roles in embryo development, HOXB9 was also found to be participated in the regulation of numerous human cancers[14-17]. In the previous study, we found HOXB9-regulated lung adenocarcinoma progression by directly targeting JMJD6[18]. In addition, upregulation of HOXB9 showed poor overall survival in invasive human breast cancer, and promoted epithelial-to-mesenchymal transition (EMT)[19-21]. However, increased expression of HOXB9 showed better overall survival in colon adenocarcinoma, pancreatic ductal adenocarcinoma and gastric carcinoma patients[15-17], indicating HOXB9 played an opposite role in these cancer progression. The E2F family of transcription factors is conserved from nematodes to mammals, which were identified as factors that control the cell cycle, differentiation, apoptosis and stress responses[22,23]. As an important member of E2F family, E2F3, encodes two isoforms, E2f3a and E2f3b, whose expression is driven by distinct promoters[24]. Overexpressed E2F3 expression has been reported in ovarian, prostate and lung cancers[25-27]. In the thyroid cancer mouse model, a role for E2F3 has been found in the metastasis of tumor cells to the liver and lung[28]. Using conditional knockout approaches, Trikha et al. reported that ablation of E2F3 in tumor-associated macrophages (TAMs) results in decreased pulmonary metastasis without affecting the tumor growth[29]. Tsuruta et al. reported that the expression of E2F3 was upregulated in 28.6% (20 of 70) of EC cases[30]. However, the role of E2F3 in EC progression remains unclear. Although HOXB9 has been extensively investigated in some cancer types, its role in EC has never been reported. In this report, we demonstrated that HOXB9 is overexpressed in EC, and is correlated with EC cell migration. Moreover, HOXB9 promotes EC progression by targeting oncogenic protein E2F3.

Results

The expression of HOXB9 and its clinical significance in EC

To determine the expression of HOXB9 in EC, we analyzed its expression in a series of 88 endometrial carcinoma, 15 normal proliferative endometrium and 21 atypical endometrial hyperplasia by immunohistochemistry. The expression of HOXB9 was observed mainly in the nucleus of cells. The staining scores of HOXB9 expression level were dichotomized into two groups, low (score of 0 or 1) and high (score of 2 or 3). The representative images of “low” and “high” staining, as well as negative controls, in endometrial carcinoma, normal proliferative endometrium and atypical hyperplasia tissues were shown in Fig. 1a. We found that the high expression ratio and expression level of HOXB9 in normal proliferative endometrium, atypical endometrial hyperplasia and endometrial carcinoma were gradually increased (P = 0.0196; Fig. 1b and S1a). The correlations between HOXB9 expression and clinicopathologic characteristics of endometrial carcinoma are shown in Table 1. In endometrial carcinoma, HOXB9 expression correlated only with histological grade (P = 0.0081) and lymph node metastasis status (P = 0.001; Fig. 1c). The HOXB9 expression score in G1, G2 and G3 was gradually increased (Fig. S1b) and tumors with metastasis expressed significantly higher levels than tumors without metastasis (Fig. S1c). However, no correlation between HOXB9 expression with patients’ age, surgical staging and muscular invasion endomembrane (Table 1). In addition, we found high HOXB9 expression level correlated significantly with shorter disease-specific survival time as illustrated in Fig. 1d.
Fig. 1

The expression of HOXB9 and its clinical significance in endometrial cancer.

a The staining scores of HOXB9 expression level were dichotomized into two groups, low (score of 0 or 1) and high (score of 2 or 3). We have displayed the representative images of “low” and “high” staining, as well as negative controls, in endometrial carcinoma, normal proliferative endometrium and atypical hyperplasia tissues. b The high expression ratio of HOXB9 in normal proliferative endometrium, atypical endometrial hyperplasia and endometrial carcinoma were showed. c The HOXB9 expression correlation in endometrial carcinoma with histological grade and lymph node metastasis status. d The Kaplan–Meier analysis of HOXB9 expression in endometrial carcinoma was performed. e, f The expression level of HOXB9 in human endometrial cancer compared with normal tissues in TCGA database e, and the Kaplan–Meier analysis of HOXB9 expression in human endometrial cancer in TCGA f. The statistical analyses were performed by one-way ANOVA analyses b, c, Student’s t-test e and Kaplan–Meier analysis d, f. *P < 0.05

Table 1

Relationship between HOXB9 expression and clinicopathological features in endometrial carcinomas

HOXB9
FeaturesCase (N)Low N (%)High N (%)P-value
Age0.2396
  ≤504119 (46)22 (54)
  >504716 (34)31 (66)
Surgical staging0.1041
  I5319 (36)34 (64)
  II1811 (61)7 (39)
  III–IV175 (29)12 (71)
Histological grade0.0081
  G12918 (62)11 (38)
  G2269 (35)17 (65)
  G3338 (24)25 (76)
Muscular invasion endomembrane0.2446
  ≤1/23912 (31)27 (69)
  >1/24921 (43)28 (57)
Lymph node metastisis0.001
  Yes398 (21)31 (79)
  No4927 (55)22 (45)

The expression of HOXB9 and its clinical significance in endometrial cancer.

a The staining scores of HOXB9 expression level were dichotomized into two groups, low (score of 0 or 1) and high (score of 2 or 3). We have displayed the representative images of “low” and “high” staining, as well as negative controls, in endometrial carcinoma, normal proliferative endometrium and atypical hyperplasia tissues. b The high expression ratio of HOXB9 in normal proliferative endometrium, atypical endometrial hyperplasia and endometrial carcinoma were showed. c The HOXB9 expression correlation in endometrial carcinoma with histological grade and lymph node metastasis status. d The Kaplan–Meier analysis of HOXB9 expression in endometrial carcinoma was performed. e, f The expression level of HOXB9 in human endometrial cancer compared with normal tissues in TCGA database e, and the Kaplan–Meier analysis of HOXB9 expression in human endometrial cancer in TCGA f. The statistical analyses were performed by one-way ANOVA analyses b, c, Student’s t-test e and Kaplan–Meier analysis d, f. *P < 0.05 Relationship between HOXB9 expression and clinicopathological features in endometrial carcinomas Besides, the results of TCGA database, which were mainly analyzed by the web-based tools, Gene Expression Profiling Interactive Analysis (GEPIA, http://gepia.cancer-pku.cn/)[31] and the LinkedOmics database (http://www.linkedomics.org)[32], showed that HOXB9 expression was significantly overexpressed in human EC tissues compared with normal tissues (Fig. 1e and Table 2), and elevated HOXB9 expression level corresponds to a shorter overall survival in EC (Fig. 1f). These findings suggested that HOXB9 is highly expressed in EC and elevated HOXB9 may predict a poor outcome for EC patients.
Table 2

The sample information on TCGA database for endometrial carcinoma

Sample IDSample_typeClinical_stage_OSHistological_type
TCGA-AX-A05S-01Primary tumorStage IIIC413Endometrioid endometrial adenocarcinoma
TCGA-AP-A05P-01Primary tumorStage IA636Endometrioid endometrial adenocarcinoma
TCGA-AP-A05O-01Primary tumorStage IB384Endometrioid endometrial adenocarcinoma
TCGA-AP-A05N-01Primary tumorStage IA726Endometrioid endometrial adenocarcinoma
TCGA-DI-A2QU-11Primary tumorStage IVB946Endometrioid endometrial adenocarcinoma
TCGA-AJ-A2QN-01Primary tumorStage II1069Endometrioid endometrial adenocarcinoma
TCGA-AJ-A2QL-11Primary tumorStage IIIC1602Endometrioid endometrial adenocarcinoma
TCGA-AJ-A2QK-01Primary tumorStage IA643Endometrioid endometrial adenocarcinoma
TCGA-EY-A2OM-01Primary tumorStage IA694Endometrioid endometrial adenocarcinoma
TCGA-BG-A2L7-11Primary tumorStage IA612Endometrioid endometrial adenocarcinoma
TCGA-DF-A2KS-01Primary tumorStage IB3318Endometrioid endometrial adenocarcinoma
TCGA-AX-A2HK-01Primary tumorStage IIIC90Endometrioid endometrial adenocarcinoma
TCGA-AX-A2HJ-01Primary tumorStage IC935Endometrioid endometrial adenocarcinoma
TCGA-AX-A2HG-01Primary tumorStage IC1163Endometrioid endometrial adenocarcinoma
TCGA-AX-A2HD-01Primary tumorStage IIIA1414Endometrioid endometrial adenocarcinoma
TCGA-AX-A2HC-01Primary tumorStage IIIC1044Endometrioid endometrial adenocarcinoma
TCGA-AX-A2HA-11Primary tumorStage IB2475Endometrioid endometrial adenocarcinoma
TCGA-AX-A2H8-11Primary tumorStage IB1861Endometrioid endometrial adenocarcinoma
TCGA-AX-A2H7-11Primary tumorStage IC1241Endometrioid endometrial adenocarcinoma
TCGA-D1-A2G6-01Primary tumorStage IIIC258Endometrioid endometrial adenocarcinoma
TCGA-D1-A2G5-01Primary tumorStage IB1455Endometrioid endometrial adenocarcinoma
TCGA-FI-A2F9-01Primary tumorStage IA1803Endometrioid endometrial adenocarcinoma
TCGA-FI-A2F4-01Primary tumorStage IC2230Endometrioid endometrial adenocarcinoma
TCGA-FI-A2D6-01Primary tumorStage IB767Endometrioid endometrial adenocarcinoma
TCGA-FI-A2D5-01Primary tumorStage IVB421Endometrioid endometrial adenocarcinoma
TCGA-FI-A2D4-01Primary tumorStage IIIC243Endometrioid endometrial adenocarcinoma
TCGA-FI-A2D0-01Primary tumorStage IA1023Endometrioid endometrial adenocarcinoma
TCGA-FI-A2CX-01Primary tumorStage IB2031Endometrioid endometrial adenocarcinoma
TCGA-BG-A2AE-11Primary tumorStage IB721Endometrioid endometrial adenocarcinoma
TCGA-BG-A2AD-01Primary tumorStage IIIB609Endometrioid endometrial adenocarcinoma
TCGA-EC-A1QX-01Primary tumorStage IB224Endometrioid endometrial adenocarcinoma
TCGA-AW-A1PO-01Primary tumorStage IIIA17Endometrioid endometrial adenocarcinoma
TCGA-A5-A1OK-01Primary tumorStage IIIA917Endometrioid endometrial adenocarcinoma
TCGA-A5-A1OJ-01Primary tumorStage IA1006Endometrioid endometrial adenocarcinoma
TCGA-D1-A1O8-01Primary tumorStage IIIC120Endometrioid endometrial adenocarcinoma
TCGA-D1-A1O7-01Primary tumorStage IA32Endometrioid endometrial adenocarcinoma
TCGA-D1-A1O5-01Primary tumorStage IA458Endometrioid endometrial adenocarcinoma
TCGA-D1-A1O0-01Primary tumorStage IA63Endometrioid endometrial adenocarcinoma
TCGA-D1-A1NZ-01Primary tumorStage IA548Endometrioid endometrial adenocarcinoma
TCGA-D1-A1NY-01Primary tumorStage IB513Endometrioid endometrial adenocarcinoma
TCGA-D1-A1NS-01Primary tumorStage IA43Endometrioid endometrial adenocarcinoma
TCGA-DI-A1NO-11Primary tumorStage IIIA285Endometrioid endometrial adenocarcinoma
TCGA-EC-A1NJ-01Primary tumorStage IA488Endometrioid endometrial adenocarcinoma
TCGA-B5-A1MZ-01Primary tumorStage IA1598Endometrioid endometrial adenocarcinoma
TCGA-B5-A1MX-01Primary tumorStage IB1473Endometrioid endometrial adenocarcinoma
TCGA-B5-A1MV-01Primary tumorStage IA1565Endometrioid endometrial adenocarcinoma
TCGA-B5-A1MR-01Primary tumorStage IIIA6859Endometrioid endometrial adenocarcinoma
TCGA-E6-A1M0-11Primary tumorStage IIIC1793Endometrioid endometrial adenocarcinoma
TCGA-E6-A1LX-01Primary tumorStage IB711Endometrioid endometrial adenocarcinoma
TCGA-EY-A1H0-01Primary tumorStage IIIC2588Endometrioid endometrial adenocarcinoma
TCGA-EY-A1GW-01Primary tumorStage IVB337Endometrioid endometrial adenocarcinoma
TCGA-EY-A1GU-01Primary tumorStage IB997Endometrioid endometrial adenocarcinoma
TCGA-EY-A1GT-01Primary tumorStage IIIA490Endometrioid endometrial adenocarcinoma
TCGA-EY-A1GR-01Primary tumorStage IA536Endometrioid endometrial adenocarcinoma
TCGA-EY-A1GQ-01Primary tumorStage IB544Endometrioid endometrial adenocarcinoma
TCGA-EY-A1GK-01Primary tumorStage IB693Endometrioid endometrial adenocarcinoma
TCGA-EY-A1GJ-01Primary tumorStage IA727Endometrioid endometrial adenocarcinoma
TCGA-EY-A1GI-01Primary tumorStage IB710Endometrioid endometrial adenocarcinoma
TCGA-EY-A1GH-01Primary tumorStage IA710Endometrioid endometrial adenocarcinoma
TCGA-EY-A1GF-01Primary tumorStage IA826Endometrioid endometrial adenocarcinoma
TCGA-EY-A1GE-01Primary tumorStage IA741Endometrioid endometrial adenocarcinoma
TCGA-EY-A1GD-01Primary tumorStage IA1639Endometrioid endometrial adenocarcinoma
TCGA-EY-A1GC-01Primary tumorStage IB1647Endometrioid endometrial adenocarcinoma
TCGA-EY-A1G8-01Primary tumorStage IB456Endometrioid endometrial adenocarcinoma
TCGA-EY-A1G7-01Primary tumorStage II189Endometrioid endometrial adenocarcinoma
TCGA-AP-A1E4-01Primary tumorStage IB1555Endometrioid endometrial adenocarcinoma
TCGA-AP-A1E3-01Primary tumorStage IIIC1847Endometrioid endometrial adenocarcinoma
TCGA-AP-A1E1-01Primary tumorStage IA1395Endometrioid endometrial adenocarcinoma
TCGA-AP-A1E0-01Primary tumorStage IIIC21832Endometrioid endometrial adenocarcinoma
TCGA-AP-A1DV-01Primary tumorStage II204Endometrioid endometrial adenocarcinoma
TCGA-AP-A1DR-01Primary tumorStage IIIC11495Endometrioid endometrial adenocarcinoma
TCGA-AP-A1DP-01Primary tumorStage IA1081Endometrioid endometrial adenocarcinoma
TCGA-AP-A1DO-01Primary tumorStage IA952Endometrioid endometrial adenocarcinoma
TCGA-AP-A1DM-01Primary tumorStage IA1700Endometrioid endometrial adenocarcinoma
TCGA-AP-A1DK-01Primary tumorStage IA2767Endometrioid endometrial adenocarcinoma
TCGA-AP-A1DH-01Primary tumorStage IA2180Endometrioid endometrial adenocarcinoma
TCGA-AX-A1CN-01Primary tumorStage IIB1143Endometrioid endometrial adenocarcinoma
TCGA-AX-A1CK-11Primary tumorStage IB2441Endometrioid endometrial adenocarcinoma
TCGA-AX-A1CJ-11Primary tumorStage IC2233Endometrioid endometrial adenocarcinoma
TCGA-AX-A1CI-01Primary tumorStage IB2600Endometrioid endometrial adenocarcinoma
TCGA-AX-A1CF-01Primary tumorStage IVB2337Endometrioid endometrial adenocarcinoma
TCGA-AX-A1CE-01Primary tumorStage IB1037Endometrioid endometrial adenocarcinoma
TCGA-AX-A1C9-01Primary tumorStage IB802Endometrioid endometrial adenocarcinoma
TCGA-AX-A1C5-01Primary tumorStage IIIC1001Endometrioid endometrial adenocarcinoma
TCGA-AX-A1C4-01Primary tumorStage IB404Endometrioid endometrial adenocarcinoma
TCGA-DI-A1BY-01Primary tumorStage IIB1114Endometrioid endometrial adenocarcinoma
TCGA-D1-A0ZV-01Primary tumorStage IB728Endometrioid endometrial adenocarcinoma
TCGA-D1-A0ZU-01Primary tumorStage IB872Endometrioid endometrial adenocarcinoma
TCGA-D1-A0ZS-01Primary tumorStage IB148Endometrioid endometrial adenocarcinoma
TCGA-D1-A0ZR-01Primary tumorStage IB17Endometrioid endometrial adenocarcinoma
TCGA-D1-A0ZQ-01Primary tumorStage IB260Endometrioid endometrial adenocarcinoma
TCGA-D1-A0ZO-01Primary tumorStage IB602Endometrioid endometrial adenocarcinoma
TCGA-D1-A0ZN-01Primary tumorStage IA512Endometrioid endometrial adenocarcinoma
TCGA-BG-A0YU-01Primary tumorStage IA451Endometrioid endometrial adenocarcinoma
TCGA-BS-A0WQ-01Primary tumorStage IA2022Endometrioid endometrial adenocarcinoma
TCGA-DI-A0WH-01Primary tumorStage IB496Endometrioid endometrial adenocarcinoma
TCGA-BG-A0W2-01Primary tumorStage IA1721Endometrioid endometrial adenocarcinoma
TCGA-BG-A0W1-01Primary tumorStage II1607Endometrioid endometrial adenocarcinoma
TCGA-BG-A0VZ-01Primary tumorStage IIIA1601Endometrioid endometrial adenocarcinoma
TCGA-BG-A0VX-01Primary tumorStage IB1043Endometrioid endometrial adenocarcinoma
TCGA-BG-A0VW-01Primary tumorStage IA1582Endometrioid endometrial adenocarcinoma
TCGA-BG-A0VV-01Primary tumorStage IA1553Endometrioid endometrial adenocarcinoma
TCGA-BG-A0VT-01Primary tumorStage IIIA1568Endometrioid endometrial adenocarcinoma
TCGA-A5-A0VQ-01Primary tumorStage IA485Endometrioid endometrial adenocarcinoma
TCGA-A5-A0VP-01Primary tumorStage IA1288Endometrioid endometrial adenocarcinoma
TCGA-A5-A0VO-01Primary tumorStage IB875Endometrioid endometrial adenocarcinoma
TCGA-BS-A0VI-01Primary tumorStage IIB2646Endometrioid endometrial adenocarcinoma
TCGA-BS-A0V8-01Primary tumorStage IIB2544Endometrioid endometrial adenocarcinoma
TCGA-BS-A0V6-01Primary tumorStage IB2725Endometrioid endometrial adenocarcinoma
TCGA-BS-A0UV-01Primary tumorStage IIIC2228Endometrioid endometrial adenocarcinoma
TCGA-BS-A0UT-01Primary tumorStage IIB2212Endometrioid endometrial adenocarcinoma
TCGA-BS-A0UM-01Primary tumorStage IB2644Endometrioid endometrial adenocarcinoma
TCGA-BS-A0UL-01Primary tumorStage IA2481Endometrioid endometrial adenocarcinoma
TCGA-BS-A0UJ-01Primary tumorStage IA2506Endometrioid endometrial adenocarcinoma
TCGA-BS-A0UF-01Primary tumorStage IB2611Endometrioid endometrial adenocarcinoma
TCGA-BS-A0UA-01Primary tumorStage IB3495Endometrioid endometrial adenocarcinoma
TCGA-BS-A0U9-01Primary tumorStage IIA2825Endometrioid endometrial adenocarcinoma
TCGA-BS-A0U8-01Primary tumorStage IIIC2963Endometrioid endometrial adenocarcinoma
TCGA-BS-A0U7-01Primary tumorStage IC935Endometrioid endometrial adenocarcinoma
TCGA-BS-A0U5-01Primary tumorStage IA2935Endometrioid endometrial adenocarcinoma
TCGA-BS-A0TJ-01Primary tumorStage IC2068Endometrioid endometrial adenocarcinoma
TCGA-BS-A0TI-01Primary tumorStage IC1882Endometrioid endometrial adenocarcinoma
TCGA-BS-A0TG-01Primary tumorStage IIIA2371Endometrioid endometrial adenocarcinoma
TCGA-BS-A0TE-01Primary tumorStage IVB146Endometrioid endometrial adenocarcinoma
TCGA-BS-A0TD-01Primary tumorStage IB2379Endometrioid endometrial adenocarcinoma
TCGA-BS-A0TC-01Primary tumorStage IB2602Endometrioid endometrial adenocarcinoma
TCGA-BS-A0TA-01Primary tumorStage IVB740Endometrioid endometrial adenocarcinoma
TCGA-BS-A0T9-01Primary tumorStage IVB1428Endometrioid endometrial adenocarcinoma
TCGA-BG-A0RY-01Primary tumorStage IB469Endometrioid endometrial adenocarcinoma
TCGA-A5-A0RA-01Primary tumorStage IB884Endometrioid endometrial adenocarcinoma
TCGA-A5-A0R9-01Primary tumorStage IA749Endometrioid endometrial adenocarcinoma
TCGA-A5-A0R8-01Primary tumorStage IB596Endometrioid endometrial adenocarcinoma
TCGA-A5-A0R7-01Primary tumorStage IA535Endometrioid endometrial adenocarcinoma
TCGA-BG-A0MU-01Primary tumorStage IIIA617Endometrioid endometrial adenocarcinoma
TCGA-BG-A0MT-01Primary tumorStage IA644Endometrioid endometrial adenocarcinoma
TCGA-BG-A0MS-01Primary tumorStage IIIC11882Endometrioid endometrial adenocarcinoma
TCGA-BG-A0MQ-01Primary tumorStage IA1817Endometrioid endometrial adenocarcinoma
TCGA-BG-A0MO-01Primary tumorStage IA1309Endometrioid endometrial adenocarcinoma
TCGA-BG-A0MI-01Primary tumorStage IA714Endometrioid endometrial adenocarcinoma
TCGA-BG-A0MH-01Primary tumorStage IC1930Endometrioid endometrial adenocarcinoma
TCGA-BG-A0MG-01Primary tumorStage IA1477Endometrioid endometrial adenocarcinoma
TCGA-BG-A0MC-01Primary tumorStage IA1263Endometrioid endometrial adenocarcinoma
TCGA-BG-A0MA-11Primary tumorStage IB326Endometrioid endometrial adenocarcinoma
TCGA-BG-A0M9-01Primary tumorStage IB2270Endometrioid endometrial adenocarcinoma
TCGA-BG-A0M8-01Primary tumorStage IA2020Endometrioid endometrial adenocarcinoma
TCGA-BG-A0M7-01Primary tumorStage IIIC11937Endometrioid endometrial adenocarcinoma
TCGA-BG-A0M4-01Primary tumorStage IA2167Endometrioid endometrial adenocarcinoma
TCGA-BG-A0M3-01Primary tumorStage IB1071Endometrioid endometrial adenocarcinoma
TCGA-BG-A0M2-01Primary tumorStage IB637Endometrioid endometrial adenocarcinoma
TCGA-BG-A0M0-01Primary tumorStage IA588Endometrioid endometrial adenocarcinoma
TCGA-BG-A0LX-01Primary tumorStage IB614Endometrioid endometrial adenocarcinoma
TCGA-BG-A0LW-01Primary tumorStage IA566Endometrioid endometrial adenocarcinoma
TCGA-AP-A0LV-01Primary tumorStage IA763Endometrioid endometrial adenocarcinoma
TCGA-AP-A0LT-01Primary tumorStage II1497Endometrioid endometrial adenocarcinoma
TCGA-AP-A0LS-01Primary tumorStage IA2904Endometrioid endometrial adenocarcinoma
TCGA-AP-A0LQ-01Primary tumorStage IA2457Endometrioid endometrial adenocarcinoma
TCGA-AP-A0LP-01Primary tumorStage IA1875Endometrioid endometrial adenocarcinoma
TCGA-AP-A0LO-01Primary tumorStage IA1016Endometrioid endometrial adenocarcinoma
TCGA-AP-A0LN-01Primary tumorStage IA2510Endometrioid endometrial adenocarcinoma
TCGA-AP-A0LM-01Primary tumorStage IIIC2825Endometrioid endometrial adenocarcinoma
TCGA-AP-A0LL-01Primary tumorStage IA2554Endometrioid endometrial adenocarcinoma
TCGA-AP-A0LJ-01Primary tumorStage IA1421Endometrioid endometrial adenocarcinoma
TCGA-AP-A0LG-01Primary tumorStage IA2015Endometrioid endometrial adenocarcinoma
TCGA-AP-A0LF-01Primary tumorStage IVB2859Endometrioid endometrial adenocarcinoma
TCGA-AP-A0LE-01Primary tumorStage IA3357Endometrioid endometrial adenocarcinoma
TCGA-AP-A0LD-01Primary tumorStage IB3589Endometrioid endometrial adenocarcinoma
TCGA-B5-A0KB-01Primary tumorStage IB824Endometrioid endometrial adenocarcinoma
TCGA-B5-A0K7-01Primary tumorStage IA1933Endometrioid endometrial adenocarcinoma
TCGA-B5-A0K6-01Primary tumorStage IA1953Endometrioid endometrial adenocarcinoma
TCGA-B5-A0K4-01Primary tumorStage IB1757Endometrioid endometrial adenocarcinoma
TCGA-B5-A0K3-01Primary tumorStage IA700Endometrioid endometrial adenocarcinoma
TCGA-B5-A0K2-01Primary tumorStage IIIA2209Endometrioid endometrial adenocarcinoma
TCGA-B5-A0K1-01Primary tumorStage IA1110Endometrioid endometrial adenocarcinoma
TCGA-B5-A0K0-01Primary tumorStage IA1478Endometrioid endometrial adenocarcinoma
TCGA-FL-A1YN-11Solid tissue normal
TCGA-FL-A1YU-11Solid tissue normal
TCGA-FL-A1YL-11Solid tissue normal
TCGA-FL-A1YI-11Solid tissue normal
TCGA-AX-A0J0-11Solid tissue normal
TCGA-FL-A1YQ-11Solid tissue normal
TCGA-FL-A1YF-11Solid tissue normal
TCGA-FL-A3WE-11Solid tissue normal
TCGA-FL-A1YV-11Solid tissue normal
TCGA-FL-A1YT-11Solid tissue normal
TCGA-AJ-A3NC-11Solid tissue normal
TCGA-AJ-A3NE-11Solid tissue normal
TCGA-AX-A2HC-11Solid tissue normal
TCGA-AX-A2HD-11Solid tissue normal
TCGA-BK-A4ZD-11Solid tissue normal
TCGA-BG-A3EW-11Solid tissue normal
TCGA-FL-A1YH-11Solid tissue normal
TCGA-AJ-A3NH-11Solid tissue normal
TCGA-AX-A05Y-11Solid tissue normal
TCGA-DI-A2QY-11Solid tissue normal
TCGA-BG-A2AD-11Solid tissue normal
TCGA-FL-A1YG-11Solid tissue normal
TCGA-AX-A0IZ-11Solid tissue normal
TCGA-BG-A3PP-11Solid tissue normal
TCGA-AX-A2H5-01Solid tissue normal
TCGA-AX-A2H4-11Solid tissue normal
TCGA-DI-A1NN-01Solid tissue normal
TCGA-EO-A22T-01Solid tissue normal
TCGA-EO-A22S-01Solid tissue normal
TCGA-EO-A22R-01Solid tissue normal
TCGA-BK-A13C-01Solid tissue normal
TCGA-DI-A2QU-01Solid tissue normal
TCGA-AJ-A2QL-01Solid tissue normal
TCGA-BG-A2L7-01Solid tissue normal
TCGA-AX-A2HA-01Solid tissue normal
TCGA-AX-A2H8-01Solid tissue normal
TCGA-AX-A2H7-01Solid tissue normal
TCGA-BG-A2AE-01Solid tissue normal
TCGA-DI-A1NO-01Solid tissue normal
TCGA-E6-A1M0-01Solid tissue normal
TCGA-AX-A1CK-01Solid tissue normal
TCGA-AX-A1CJ-01Solid tissue normal
TCGA-AX-A1CI-11Solid tissue normal
TCGA-AX-A1CF-11Solid tissue normal
TCGA-BG-A0MA-01Solid tissue normal
TCGA-BK-A0CB-01Solid tissue normal
TCGA-FL-A1YM-11Solid tissue normal
TCGA-FL-A1YN-11Solid tissue normal
TCGA-FL-A1YU-11Solid tissue normal
TCGA-FL-A1YL-11Solid tissue normal
TCGA-FL-A1YI-11Solid tissue normal
TCGA-AX-A0J0-11Solid tissue normal
TCGA-FL-A1YQ-11Solid tissue normal
TCGA-FL-A1YF-11Solid tissue normal
TCGA-FL-A3WE-11Solid tissue normal
TCGA-FL-A1YV-11Solid tissue normal
TCGA-FL-A1YT-11Solid tissue normal
TCGA-AJ-A3NC-11Solid tissue normal
TCGA-AJ-A3NE-11Solid tissue normal
TCGA-AX-A2HC-11Solid tissue normal
TCGA-AX-A2HD-11Solid tissue normal
TCGA-BK-A4ZD-11Solid tissue normal
TCGA-BG-A3EW-11Solid tissue normal
TCGA-FL-A1YH-11Solid tissue normal
TCGA-AJ-A3NH-11Solid tissue normal
TCGA-AX-A05Y-11Solid tissue normal
TCGA-DI-A2QY-11Solid tissue normal
TCGA-BG-A2AD-11Solid tissue normal
TCGA-FL-A1YG-11Solid tissue normal
TCGA-AX-A0IZ-11Solid tissue normal
TCGA-BG-A3PP-11Solid tissue normal
TCGA-AX-A2H5-01Solid tissue normal
TCGA-AX-A2H4-11Solid tissue normal
TCGA-DI-A1NN-01Solid tissue normal
TCGA-EO-A22T-01Solid tissue normal
TCGA-EO-A22S-01Solid tissue normal
TCGA-EO-A22R-01Solid tissue normal
TCGA-BK-A13C-01Solid tissue normal
TCGA-DI-A2QU-01Solid tissue normal
TCGA-AJ-A2QL-01Solid tissue normal
TCGA-BG-A2L7-01Solid tissue normal
TCGA-AX-A2HA-01Solid tissue normal
TCGA-AX-A2H8-01Solid tissue normal
TCGA-AX-A2H7-01Solid tissue normal
TCGA-BG-A2AE-01Solid tissue normal
TCGA-DI-A1NO-01Solid tissue normal
TCGA-E6-A1M0-01Solid tissue normal
TCGA-AX-A1CK-01Solid tissue normal
TCGA-AX-A1CJ-01Solid tissue normal
TCGA-AX-A1CI-11Solid tissue normal
TCGA-AX-A1CF-11Solid tissue normal
The sample information on TCGA database for endometrial carcinoma

HOXB9 promotes EC cell migration

Given the high expression level of HOXB9 in EC, we first investigated the effect of HOXB9 on cancer cell proliferation. However, when endogenous HOXB9 in EC cell line Ishikawa was knocked down with two different HOXB9 small interfering RNA (siRNA), there was no difference in the cell proliferation rate in the three groups (Fig. 2a). Then, we performed colony formation assays using the Ishikawa stable cell lines infected with lentiviruses carrying control short hairpin RNA (shRNA) or HOXB9 shRNA. However, the colony formation assays also showed that the depletion of HOXB9 in Ishikawa cells resulted in no significant decrease in the colony number (Fig. 2b). Moreover, mouse xenograft assays using the Ishikawa stable cell lines infected with lentiviruses carrying control shRNA or HOXB9 shRNA showed that cells expressing sh-HOXB9 displayed no significance in tumor growth rate and tumor volumes than that of the control group (Figs. 2c-e). It indicated that HOXB9 did not influence the proliferation ability of EC cell.
Fig. 2

HOXB9 promotes endometrial cancer cell migration.

a Cell proliferation assays were performed in endometrial cancer cell line Ishikawa, which was knocked down with two different HOXB9 small interfering RNA (siRNA). b The colony formation assays were performed using the Ishikawa stable cell lines infected with lentiviruses carrying control shRNA or HOXB9 shRNA. Cells were incubated for 2 weeks, and washed three times with PBS and fixed with 4% paraformaldehyde, following with staining by 0.5% crystal violet solution. c The mouse xenograft assays using the Ishikawa stable cell lines infected with lentiviruses carrying control shRNA or HOXB9 shRNA. Tumor growths in xenografted nude mice were measured and plotted. d The xenograft tumors were dissected and photographed at day 24. e Average tumor weights were measured at day 24. f-h The effect of HOXB9 on cell migration in Ishikawa and RL95-2 was determined. Data were presented as mean ± SEM from three independent experiments. Representative images of cell migration in Ishikawa and RL95-2 were shown. j Western blot was performed to detect the expression of HOXB9 by adding doxycycline. k The transwell assays were performed by adding doxycycline to induce HOXB9 expression. Data were presented as mean ± SEM from three independent experiments. l Representative images of cell migration were shown. m, n The wound-healing assays were performed in Ishikawa cells with knocked down or overexpressed of HOXB9, and images were taken at 0, 6 and 12 h after wound. The wound widths were measured and quantified. *P < 0.05, **P < 0.01, ***P < 0.001

HOXB9 promotes endometrial cancer cell migration.

a Cell proliferation assays were performed in endometrial cancer cell line Ishikawa, which was knocked down with two different HOXB9 small interfering RNA (siRNA). b The colony formation assays were performed using the Ishikawa stable cell lines infected with lentiviruses carrying control shRNA or HOXB9 shRNA. Cells were incubated for 2 weeks, and washed three times with PBS and fixed with 4% paraformaldehyde, following with staining by 0.5% crystal violet solution. c The mouse xenograft assays using the Ishikawa stable cell lines infected with lentiviruses carrying control shRNA or HOXB9 shRNA. Tumor growths in xenografted nude mice were measured and plotted. d The xenograft tumors were dissected and photographed at day 24. e Average tumor weights were measured at day 24. f-h The effect of HOXB9 on cell migration in Ishikawa and RL95-2 was determined. Data were presented as mean ± SEM from three independent experiments. Representative images of cell migration in Ishikawa and RL95-2 were shown. j Western blot was performed to detect the expression of HOXB9 by adding doxycycline. k The transwell assays were performed by adding doxycycline to induce HOXB9 expression. Data were presented as mean ± SEM from three independent experiments. l Representative images of cell migration were shown. m, n The wound-healing assays were performed in Ishikawa cells with knocked down or overexpressed of HOXB9, and images were taken at 0, 6 and 12 h after wound. The wound widths were measured and quantified. *P < 0.05, **P < 0.01, ***P < 0.001 We then tested the EC cell migration mediated by HOXB9. Using transwell assays, we found that cell migration ability was decreased when knocked down HOXB9 in Ishikawa and RL95-2 cells (Figs. 2f, g). In contrast, after overexpression of HOXB9 in the two cancer cells, the cell migration ability markedly increased (Figs. 2h, i). To extend the study of the precise functional role of HOXB9 changed in vivo in regulating EC progression, we introduced a doxycycline (Dox)-inducible system, which allows the induction of HOXB9 by the addition of Dox in EC cell line Ishikawa. Western blot analysis revealed the expression of HOXB9 was markedly increased by adding Dox (Fig. 2j). Using transwell assays, we demonstrated that Dox-induced HOXB9 expression significantly increased cell migration capacity compared with the controls ± Dox or HOXB9-inducible cells without Dox induction (Figs. 2k, l). In addition, we performed wound-healing assays to determine whether HOXB9 affects the cancer cell migration. Similarly to the previous report, knocked down HOXB9 inhibited Ishikawa cell migration, and overexpression of HOXB9 accelerated migration of Ishikawa cell (Figs. 2m, n). Thus, these data suggested that HOXB9 mainly affect the EC cell migration, not cell proliferation.

The expression between HOXB9 and E2F3 is positively correlated

To investigate the signal pathways regulated by HOXB9 in EC, we analyzed series of genes that have strong co-expression correlation (Pearson r value > 0.2 or < –0.2) with HOXB9 in TCGA from the LinkedOmics database (http://www.linkedomics.org) (Figs. 3a, b). Next, we performed Gene ontology (GO) and Kyoto Encyclopedia of Genes and Genomes (KEGG) enrichment analysis on the correlated expressed genes. The enrichment analysis of GO biological process revealed that these genes were involved in a variety of processes, including P53, p38 Mitogen-activated Protein Kinase (MAPK),and Ataxia Telangiectasia Mutated Kinase (ATM) and integrin family cell surface interaction pathways (Fig. 3c). Meanwhile, KEGG enrichment analysis demonstrated that these genes were closely related to multiple pathways, including transport, regulation of cell cycle, metabolism and energy pathways (Fig. 3d).
Fig. 3

The expression between HOXB9 and E2F3 is positively correlated.

a, b Genes highly co-expressed with HOXB9 in TCGA from the LinkedOmics database (http://www.linkedomics.org) were selected, and the top 50 positively a and 50 negatively b correlated genes are shown. c, d Gene ontology (GO) and Kyoto Encyclopedia of Genes and Genomes (KEGG) enrichment analysis on the correlated expressed genes. e Pearson correlation analysis revealed that E2F3 were significantly correlated with HOXB9 in human endometrial cancer using TCGA database. f The Kaplan–Meier analysis of E2F3 expression in 88 endometrial carcinoma was performed. g The correlation of HOXB9 and E2F3 expression in 88 endometrial carcinoma were analyzed

The expression between HOXB9 and E2F3 is positively correlated.

a, b Genes highly co-expressed with HOXB9 in TCGA from the LinkedOmics database (http://www.linkedomics.org) were selected, and the top 50 positively a and 50 negatively b correlated genes are shown. c, d Gene ontology (GO) and Kyoto Encyclopedia of Genes and Genomes (KEGG) enrichment analysis on the correlated expressed genes. e Pearson correlation analysis revealed that E2F3 were significantly correlated with HOXB9 in human endometrial cancer using TCGA database. f The Kaplan–Meier analysis of E2F3 expression in 88 endometrial carcinoma was performed. g The correlation of HOXB9 and E2F3 expression in 88 endometrial carcinoma were analyzed Among the total positively or negatively correlated significant genes, E2F3 was noted to act as oncogenic protein[33-35]. E2F3 was reported overexpressed in multiple tumors, and correlated with cancer metastasis. When we examined the mRNA expression levels of several tumor metastasis-related genes after knocking down HOXB9 (data not shown), we only found E2F3 mRNA expression levels were decreased significantly (Fig. 4c). Then, we analyzed the correlation of HOXB9 and E2F3 expression in TCGA EC database and found a positive correlation between HOXB9 and E2F3 mRNA expression levels (R = 0.33, P = 8.5e-06; Fig. 3e). In addition, the mRNA expression level of E2F3 was higher in EC than the normal tissues (Fig. S1d), and the high expression level of E2F3 correlated with the poor outcome of EC patients (Fig. S1e). To further clarify the expression of E2F3 in EC, we analyzed its expression in a series of 88 endometrial carcinoma using immunohistochemical staining. The staining scores of E2F3 expression level were dichotomized into two groups, low and high (Fig. S1f). Interestingly, we also found high E2F3 expression level correlated significantly with shorter survival time (P = 0.003; Fig. 3f). Meanwhile, we analyzed the correlation of HOXB9 and E2F3 expression in 88 endometrial carcinoma. Consistent with the result in TCGA database, we found the expression levels of HOXB9 was correlated with E2F3 expression (P = 0.0252; Fig. 3g). These results indicated that E2F3 indeed acts as an oncogenic protein in EC.
Fig. 4

E2F3 is a direct downstream target of HOXB9.

a The endometrial cancer cell line Ishikawa was knocked down with two different HOXB9 small interfering RNA (siRNA), and cell lysates were analyzed by western blot with the indicated antibodies. b The endometrial cancer cell line Ishikawa was transfected with Flag-HOXB9 or empty vector plasmid, and cell lysates were analyzed by western blot with the indicated antibodies. c The endometrial cancer cell line Ishikawa was knocked down with two different HOXB9 siRNA, and E2F3 and HOXB9 mRNA expression levels were analyzed by real-time PCR. d ChIP assays were performed using control IgG or anti-Flag antibody in Ishikawa cells. The binding of HOXB9 on promoters of E2F3 and the negative control Actb genes were analyzed by real-time PCR. Data were presented as mean ± SEM from three independent experiments. The statistical analyses were performed by Student’s t-test, ***P < 0.001

E2F3 is a direct downstream target of HOXB9.

a The endometrial cancer cell line Ishikawa was knocked down with two different HOXB9 small interfering RNA (siRNA), and cell lysates were analyzed by western blot with the indicated antibodies. b The endometrial cancer cell line Ishikawa was transfected with Flag-HOXB9 or empty vector plasmid, and cell lysates were analyzed by western blot with the indicated antibodies. c The endometrial cancer cell line Ishikawa was knocked down with two different HOXB9 siRNA, and E2F3 and HOXB9 mRNA expression levels were analyzed by real-time PCR. d ChIP assays were performed using control IgG or anti-Flag antibody in Ishikawa cells. The binding of HOXB9 on promoters of E2F3 and the negative control Actb genes were analyzed by real-time PCR. Data were presented as mean ± SEM from three independent experiments. The statistical analyses were performed by Student’s t-test, ***P < 0.001

E2F3 is a direct downstream target of HOXB9

Interestingly, we discovered that knocked down HOXB9 by two different siRNA in Ishikawa cells inhibited the protein expression of E2F3, and overexpression of HOXB9 increased protein levels of E2F3 (Figs. 4a, b). In addition, E2F3 mRNA expression levels were decreased when knocked down HOXB9 (Fig. 4c), indicating that E2F3 may be a transcriptional target of HOXB9. To investigate whether E2F3 is a direct target gene of HOXB9, we performed chromatin immunoprecipitation (ChIP) assays. Interestingly, the results showed that HOXB9 binds directly to the promoter of E2F3 (Fig. 4d). Moreover, we extracted the protein in the mice tumor in Fig. 2d, and analyzed the protein levels by western blot with the indicated antibodies. Consistently, both HOXB9 and E2F3 protein levels were decreased in the tumor with lentiviruses carrying HOXB9 shRNA, compared with control shRNA (Fig. S1g). Therefore, these results indicated that E2F3 is a direct downstream target of HOXB9.

Knocking down E2F3 abolished the ability of HOXB9 in enhancing cancer cell migration

To further elucidate the role of HOXB9 in regulating EC cell migration mediated by E2F3, we inhibited endogenous E2F3 in EC cell line Ishikawa with E2F3 siRNA (Fig. 5a). The transwell assays showed that knocked down E2F3 caused a significant decrease of Ishikawa cell migration (Figs. 5b, c). Furthermore, we found that knocking down E2F3 abolished the ability of HOXB9 in enhancing Ishikawa cell migration (Figs. 5d, e). Moreover, we established the Ishikawa stable cell lines infected with lentiviruses carrying E2F3 shRNA. However, using transwell assays, we found overexpression of HOXB9 did not increased cell migration ability in sh-E2F3 cells (Fig. 5f). Next, we overexpressed E2F3 shRNA resistant mutant plasmid in sh-E2F3 cells with the recovery of the E2F3 expression. Interestingly, we found that overexpression of E2F3 shRNA-resistant mutant plasmid increased cell migration ability. Surprisingly, after overexpression of HOXB9 in the cells with recovery of E2F3 expression, the cell migration ability markedly increased, compared with the vector group (Fig. 5f). In addition, the wound-healing assay results indicated that, after inhibiting E2F3, overexpressing HOXB9 did not affect the Ishikawa cell migration (Fig. 5g). Collectively, these findings showed E2F3 is an important downstream effector of HOXB9 in regulating EC cell migration.
Fig. 5

Knocking down E2F3 abolished the ability of HOXB9 in enhancing cancer cell migration.

a-c Ishikawa was knocked down with E2F3 small interfering RNA (siRNA) a, and the effect of E2F3 on cell migration in Ishikawa was determined b. Data were presented as mean ± SEM from three independent experiments. The representative images of cell migration in Ishikawa were shown at the right panel c. d, e Ishikawa was firstly transfected with Flag-HOXB9, then knocked down with E2F3 siRNA, and the cell migration in Ishikawa was determined d. The representative images of cell migration in Ishikawa were shown at the right panel e. f We established the Ishikawa stable cell lines infected with lentiviruses carrying E2F3 shRNA. Next, we overexpressed E2F3 shRNA-resistant mutant plasmid in sh-E2F3 cells with the recovery of the E2F3 expression. Then, we overexpressed HOXB9 to detect the cell migration using transwell assays. g Ishikawa was first transfected with Flag-HOXB9, then knocked down with E2F3 siRNA, followed with wound-healing assays, and images were taken at 0, 6 and 12 h after wound. The wound widths were measured and quantified. The statistical analyses were performed by Student’s t-test, *<0.05, ***P < 0.001

Knocking down E2F3 abolished the ability of HOXB9 in enhancing cancer cell migration.

a-c Ishikawa was knocked down with E2F3 small interfering RNA (siRNA) a, and the effect of E2F3 on cell migration in Ishikawa was determined b. Data were presented as mean ± SEM from three independent experiments. The representative images of cell migration in Ishikawa were shown at the right panel c. d, e Ishikawa was firstly transfected with Flag-HOXB9, then knocked down with E2F3 siRNA, and the cell migration in Ishikawa was determined d. The representative images of cell migration in Ishikawa were shown at the right panel e. f We established the Ishikawa stable cell lines infected with lentiviruses carrying E2F3 shRNA. Next, we overexpressed E2F3 shRNA-resistant mutant plasmid in sh-E2F3 cells with the recovery of the E2F3 expression. Then, we overexpressed HOXB9 to detect the cell migration using transwell assays. g Ishikawa was first transfected with Flag-HOXB9, then knocked down with E2F3 siRNA, followed with wound-healing assays, and images were taken at 0, 6 and 12 h after wound. The wound widths were measured and quantified. The statistical analyses were performed by Student’s t-test, *<0.05, ***P < 0.001

Discussion

EC is one of the most common gynecologic malignancy in the whole world[1,2,5]. From 1987 to 2008, the incidence of EC increased 50%, and the number of associated deaths increased approximately 300%. In 2017, an estimated 61,380 women in the United States were diagnosed with EC, and almost 11,000 died from this disease. Although there have been some chemotherapeutic and targeted therapy agents treated for ovarian, fallopian tube and primary peritoneal cancers, little therapy agents were effective for the palliative treatment of advanced EC[36,37]. Therefore, this highlights the need for understanding the molecular and biochemical mechanisms in advanced, recurrent, metastatic EC, and to develop new therapeutic approaches. Although there have been reports clarifying some signaling pathways in EC[38-43], there were no reports about the relationship between HOXB9 and EC. HOXB9 belongs to HOX family member. It mainly functions as a transcription factor, which plays important roles in embryo development and cancer progression[17,19-21,44]. The role of HOXB9 in cancer progression is complicated[15,16,45,46]. HOXB9 was found to be overexpressed in lung adenocarcinoma and human breast cancer, whereas in colon adenocarcinoma, pancreatic ductal adenocarcinoma and gastric carcinoma patients, its expression is decreased[15-19,21]. In this study, we found the expression of HOXB9 in endometrial carcinoma is higher than normal proliferative endometrium and atypical endometrial hyperplasia. In addition, HOXB9 expression notably correlated with histological grade and lymph node metastasis status. The results using immunohistochemical staining and bioinformatics analysis in TCGA EC database showed that elevated HOXB9 expression level corresponds to a poor overall survival in EC. Knocking down with HOXB9 siRNA only inhibits EC cell migration, but not cell proliferation, which partially explained why HOXB9 plays oncogenic role in EC progression. HOXB9 was previously reported to regulate cancer progression, by targeting EMT via the transforming growth factor-β1/Smad2/Slug signaling pathway[47]. We also found HOXB9 regulated lung adenocarcinoma progression by targeting oncogenic protein JMJD6[18]. However, the mechanism underlying HOXB9 in EC progression remains unknown. Using bioinformatics analysis in TCGA EC database, we found many genes co-expressed with HOXB9. In addition, GO and KEGG analysis indicated these genes participated in multiple cancer-related signaling pathways. We picked the tumor-related protein E2F3. We found a positive correlation between HOXB9 and E2F3 mRNA expression levels. What’s more, knocked down HOXB9 inhibited the expression of E2F3 both in protein and mRNA levels. The ChIP assay showed E2F3 is a direct downstream target of HOXB9. In transwell and wound-healing assays, knocking down E2F3 abolished the ability of HOXB9 in enhancing cancer cell migration. These findings showed E2F3 is an important downstream effector of HOXB9 in regulating EC cell migration. In summary, we have demonstrated that HOXB9 expression is increased in EC patients, and HOXB9 promotes EC cell migration by regulating E2F3 expression. Thus, HOXB9 may represent a prognostic marker and a potential therapeutic target for EC. However, the generic role of HOXB9 in vivo should be investigated in the future using transgenic mice models of HOXB9.

Materials and methods

Cell culture

Human EC cell lines, Ishikawa and RL95-2, were purchased from ATCC (American Type Culture Collection). All cells were grown in Dulbecco’s modified Eagle’s medium supplemented with 10% fetal bovine serum (FBS) and cultured at 37 °C with 5% CO2.

Construction and antibodies

Flag-HOXB9 expression plasmid was constructed by subcloning the HOXB9 full-length complementary DNA (cDNA) fragments into 3× flag vector. All constructs were confirmed by DNA sequencing. The following antibodies were used: HOXB9 (Santa Cruz: sc-398500 and sc-133671) and E2F3 (Abcam: ab50917).

Cell proliferation assays

Cell proliferation assays were performed using the CellTiter 96®AQueous One Solution Cell Proliferation Assay kit according to manufacturer’s instructions (Promega). Briefly, EC cells were plated in 96-well plates at a density of 900 cells per well. In all, 15 μl CellTiter 96®AQueous One Solution reagent was added to the cells per well, and incubated for 1 h at 37 °C. Then cell growth was measured in a microplate reader at 490 nm.

Colony formation assay

Colony formation assay was used to determine the function of HOXB9 in promoting cell proliferation. In brief, 2000 cells were seeded onto six-well culture plates. After incubation for 2 weeks, cells were washed three times with phosphate-buffered saline (PBS) and fixed with 4% paraformaldehyde, following with staining by 0.5% crystal violet solution. The colonies were counted using a light microscope.

In vivo xenograft tumor growth experiments

Balb/c nude mice was injected subcutaneously into the flank with 1 × 106 Ishikawa stable cells. Tumor sizes were measured at the indicated time. After 24 days when the tumor reached to approximately 1 cm in diameter, the tumors were dissected, and the tumor weight was measured.

Cell migration assays

Cell suspension containing 1 × 105 cells/ml was seed into the upper chamber in serum-free media. The lower wells contains 20% (v/v) FBS. After 8-h migration at 37 °C, cells on the upper surface of the membrane filter were removed. The migrated cells through the inserts were fixed with 4% formaldehyde and stained by crystal violet, and counted.

Wound-healing assays

The EC cell lines were cultured until a monolayer forms. Artificial wounds were created on the cell monolayer, then capture the images of wound healing at 0, 6 and 12 h, and compare the images to quantify the cell migration rate.

Real-time PCR

Total RNA was isolated from cells using Trizol reagent (Invitrogen) and cDNA was synthesized. Two-step real-time polymerase chain reaction (PCR) was performed using the SYBR Green Mix (Roche) and a LightCycler®96 detection system (Roche) according to manufacturer’s instructions. Specific primers for HOXB9 and E2F3 were designed as follows: HOXB9 forward primer, 5ʹ-CCATTTCTGGGACGCTTAGCA-3ʹ; HOXB9 reverse primer, 5ʹ-TGTAAGGGTGGTAGACGGACG-3ʹ; E2F3 forward primer, 5ʹ-AAGAAGAAGTCTAAAAACAACGTCCAA-3ʹ; E2F3 reverse primer, 5ʹ-CTTGACACTGGGCCAGCAT-3ʹ. All mRNAs were normalized to the mRNA level of GAPDH gene.

ChIP assays

The EC cell lines were crosslinked with 1% formaldehyde for 10 min, and subjected to ChIP assays as described before[48]. The ChIP DNA complex were precipitated and subjected to RT-PCR with the indicated primers.

Bioinformatics analysis of TCGA database

The results of TCGA database were mainly analyzed by the web-based tools, GEPIA (http://gepia.cancer-pku.cn/)[31] and the LinkedOmics database (http://www.linkedomics.org)[32], which are web-based tools to deliver fast and customizable functionalities based on TCGA data. GEPIA can deliver fast and customizable functionalities based on TCGA data, and provides key interactive and customizable functions including differential expression analysis, correlation analysis and patient survival analysis. The LinkedOmics web allows flexible exploration of associations between a molecular or clinical attribute of interest and all other attributes, providing the opportunity to analyze and visualize associations between billions of attribute pairs for each cancer cohort.

Immunohistochemical staining

The endometrial carcinoma were obtained from surgical excision in the third affiliated hospital of Zhengzhou University. According to age, the endometrial carcinoma were divided into: ≤50, 41 cases; >50, 47 cases. Surgical staging: stage I, 53 cases; stage II, 18 cases; stage III–IV, 17 cases. Histological grade: G1, 29 cases; G2, 26 cases; G3, 33 cases. Muscular invasion endomembrane: ≤1/2, 39 cases; >1/2, 49 cases. Lymph node metastisis: Yes, 39 cases; No, 49 cases. Normal endometrial samples were obtained from premenopausal women awaiting in vitro fertilization treatment. All of the above cases were treated for the first time. No chemotherapy, radiotherapy and other adjuvant treatment had been done before the operation. The atypical endometrial hyperplasia was characterized by numerous glands with irregular contour, papillary intraglandular proliferations, stratified epithelium (2–4 lines), with the loss of polarity and marked nuclear atypia, also presenting atypical mitoses. The glands were extremely irregular with respect to shape and size, arranged “back-to-back”. However, the endometrial carcinoma were characterized by a glandular proliferation marked with intra-luminal papillary projections, with the presence of outgrowths and branches that realize a confluent pattern. These are lined by stratified neoplastic epithelia with a thin fibrovascular axis. Immunohistochemical staining was performed using 5-mmol/L thick sections. Tissue sections were deparaffinized and rehydrated gradually, and antigen retrieval was performed in pH 6.0 citrate buffer for 10 min. To quench endogenous peroxidases, peroxide blocking was performed for 30 min with 3% H2O2. The slides were incubated with primary antibody at 4 °C overnight, then the two-step plus poly-HRP anti-rabbit/mouse IgG detection system was applied. The immunohistochemical staining results were assigned a mean score considering both the intensity of staining and the proportion of cells with an unequivocal positive reaction. Each section was independently assessed by two pathologists without prior knowledge of patient data. Positive reactions were defined as those showing brown signals mainly in the cell nucleus. A staining index (values, 0–3) was determined by the staining intensity and positive area. The scores (0–3) were defined as follows: 0, negative; 1, weak; 2, moderate; and 3, strong. For statistical analysis, scores of 0–1 were considered low expression and scores of 2–3 considered high expression.

Statistical analysis

Chi-square tests were used to determine category variable differences. Overall survival distributions were estimated using Kaplan–Meier analysis. For other experiments, statistical significance was determined by Student’s t-test. FigureS1
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