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Medical Science Monitor: International Medical Journal of Experimental and Clinical Research logoLink to Medical Science Monitor: International Medical Journal of Experimental and Clinical Research
. 2018 Dec 31;24:9504–9508. doi: 10.12659/MSM.896748

Serum Fork-Head Box D3 (FOXD3) Expression Is Down-Regulated in and Associated with Diagnosis of Patients with Non-Small Cell Lung Cancer

Bao-Ning Xu 1,B,C, Lei Zhang 1,C,D, Dan-Dan Zhang 1,D,E, Cheng-Yang Song 1,E,F, Da-Li Tian 1,C,F, Wen-Jun Jiang 1,A,B,G,
PMCID: PMC6324864  PMID: 30596382

Abstract

Background

The aim of this study was to detect the expression of fork-head box D3 (FOXD3) and investigate its diagnostic value in patients with non-small cell lung cancer (NSCLC).

Material/Methods

The relative expression of FOXD3 at mRNA and protein levels was determined by quantitative reverse transcription polymerase chain reaction (qRT-PCR) and Western blotting analysis, respectively. Chi-square test was used to explore the relevance of FOXD3 expression with clinical features of NSCLC patients. A receiver operating characteristic (ROC) curve was built to estimate the diagnostic value of FOXD3 in distinguishing NSCLC patients from healthy controls.

Results

Serum FOXD3 expression was weakly expressed in NSCLC patients compared to the controls at mRNA and protein levels (P<0.001) and low FOXD3 expression was positively correlated with TNM stage, lymph node metastasis, and differentiation. The ROC curve indicated that FOXD3 acts as a diagnostic bio-marker for NSCLC patients, with an AUC of 0.826 corresponding to a sensitivity of 77.1% and a specificity of 74.6%, and an optimal cutoff point of 2.38.

Conclusions

Decreased expression of serum FOXD3 was observed in NSCLC patients, and it was found to be a potential molecular marker for the diagnosis of NSCLC.

MeSH Keywords: Carcinoma, Non-Small-Cell Lung; Diagnosis; Forkhead Transcription Factors

Background

Lung cancer, the main cause of cancer-related deaths, is the most common malignancy all over the world [1]. NSCLC is a common disease and accounts for about 80% of all lung cancers [2,3]. Currently, the main treatments for NSCLC patients are surgical resection, radiation therapy, and chemotherapy [4,5]. Although remarkable improvements have been made in those treatments, the curative effects are still unsatisfactory and over 160 000 patients die per year worldwide [6,7]. Because most NSCLC patients are diagnosed at late stage, the prognosis of NSCLC patients is poor and the 5-year survival rate for NSCLC patients is less than 15% [810]. Therefore, novel and available bio-markers for the diagnosis of NSCLC patients are urgently need.

Fork-head box D3 (FOXD3) is a protein-coding gene that locates at chromosome 1p 31.3 and a winged-helix transcription factor that belongs to the fork-head box (FOX) transcription factor family [1113]. It was initially identified because of its expression in embryonic stem cells, and it plays multiple important roles in vertebrate embryogenesis, including control of dorsal mesoderm formation, maintenance of self-renewal and multi-potency of stem cells, and regulation of neural crest development [1418]. Ectopic expression of FOXD3 has been proved to suppress the invasion, migration, and spheroid outgrowth of mutant B-RAF melanoma cells [19]. In addition, dysregulation of FOXD3 has been observed in gastric cancer, breast cancer, and neuroblastoma [2022]. However, its diagnostic value in NSCLC has rarely been reported.

In the present study, we investigated the expression of FOXD3 and analyzed the correlation of FOXD3 expression and clinical features. We also assessed the diagnostic role of FOXD3 in NSCLC.

Material and Methods

Patients

The present study was performed in the Fourth Affiliated Hospital of China Medical University and was approved by the Ethics Committee of the Fourth Affiliated Hospital of China Medical University during April 2011 and June 2015. A total of 131 patients who were diagnosed with NSCLC were enrolled in the present study. None of the patients had received any preoperative treatment, including radiotherapy and chemotherapy, before sampling. In addition, 63 healthy volunteers were enrolled as healthy controls. Written informed consent was provided by each participant in advance.

We obtained 10 ml peripheral blood from each participant and stored the samples at room temperature. After centrifugation at 3000 rpm at 4°C, the obtained serum was put into EDTA blood collection tubes and stored at −80°C until use. Clinicopathologic characteristics of each patient were recorded in a database.

RNA extraction and qRT-PCR analysis

Total RNA was extracted from serum samples using the mirVana miRNA Isolation Kit (Ambion, Austin, TX, USA). Then, the first chain of cDNA was synthesized via reverse transcription using the Primer Script RT Master Kit (TAKARA, China). RT-PCR reaction was performed using the Applied Biosystems 7900 Fast Real-Time PCR system (Applied Biosystems, USA). U6 small nuclear (U6) was used as internal control. The relative mRNA expression of FOXD3 was calculated using the 2−ΔΔt method. Each sample was assessed in triplicate.

Western blotting

Total protein was isolated from all samples. The protein concentration was determined using the BCA Protein Assay Kit (Pierce, Rockford, IL, USA) and separated by 10% sodium dodecyl sulfate-polyacrylamide gel for electrophoresis (SDS-PAGE). The brands were transferred onto nitrocellulose filter membranes. After the membranes were blocked with 5% non-fat milk, they were incubated with primary antibodies against FOXD3 or GPADH (Abcam, Cambridge, MA, USA), followed by incubation with horseradish peroxidase-conjugated IgGs. Target protein was detected by an enhanced chemiluminescence substrate kit (Pierce Biotechnology, Rockford, IL, USA).

Statistical analysis

The data were analyzed using SPSS 18.0 software and the figures were designed with GraphPad Prism 5. The differences between 2 groups were analyzed by t test. The chi-square test was used to analyze the relationship of FOXD3 expression with clinical parameters of NSCLC patients. The ROC curve was plotted to evaluate the diagnostic value of FOXD3 in patients with NSCLC compared to healthy controls. The difference was considered to be statistically significant when P was less than 0.05.

Results

Down-regulation of serum FOXD3 at mRNA level was observed in NSCLC patients

The relative mRNA expression of serum FOXD3 in NSCLC patients and healthy controls was determined by qRT-PCR analysis. As shown in Figure 1, the serum FOXD3 expression in NSCLC patients was lower than that in healthy controls (2.01±0.44 versus 2.62±0.46, P<0.001).

Figure 1.

Figure 1

The relative mRNA expression of serum FOXD3 in NSCLC patients and healthy controls. The serum FOXD3 expression was lower in NSCLC patients than that in healthy controls (P<0.001).

The protein expression of FOXD3 in NSCLC patients

Western blotting was used to measure the protein expression of FOXD3 in NSCLC patients and healthy controls. The result demonstrated that serum FOXD3 protein was decreased in NSCLC patients compared to healthy controls (0.69±0.39 vs. 1.04±0.59, Figure 2, P<0.001).

Figure 2.

Figure 2

The relative protein expression of serum FOXD3 in NSCLC patients and healthy controls. The serum FOXD3 protein expression was decreased in NSCLC patients compare to that in healthy controls (P<0.001).

Association of FOXD3 expression and clinical parameters of NSCLC patients

To analyze the relationship of FOXD3 and clinical features of NSCLC patients, the chi-square test was used. The outcome revealed that the low expression of FOXD3 was positively associated with TNM stage (P=0.014), lymph node metastasis (P=0.021), and differentiation (P=0.035). However, there was no significant difference between FOXD3 expression and age, histology, or smoking (Table 1, P>0.05).

Table 1.

Relationship between FOXD3 expression and clinical parameters of patients with NSCLC.

Clinical parameters Case (n=131) FOXD3 expression χ2 P value
Low (n=94) High (n=37)
Age 0.090 0.764
 ≤55 61 43 18
 >55 70 51 19
Histology 1.863 0.172
 Squamous cell carcinoma 69 46 23
 Adenocarcinoma 62 48 14
Smoking 0.332 0.564
 Yes 76 56 20
 No 55 38 17
TNM stage 6.092 0.014
 I, II 66 41 25
 III, IV 65 53 12
Lymph node metastasis 5.336 0.021
 Yes 74 59 15
 No 57 35 22
Differentiation 4.421 0.035
 High/moderate 58 47 11
 Low 73 47 26

The diagnostic value of FOXD3 in NSCLC

The ROC curve was plotted to assess the diagnostic potential of FOXD3 in patients with NSCLC. The outcome demonstrated that FOXD3 expression was able to efficiently distinguish NSCLC patients from controls (AUC=0.826, 95%CI=0.766-0.885, P<0.0001). According to the ROC curve (Figure 3), the optimal cutoff point of FOXD3 expression was 2.38. Based on the cutoff point, a sensitivity of 77.1% and a specificity of 74.6% were obtained.

Figure 3.

Figure 3

The diagnostic value of FOXD3 in patients with NSCLC was analyzed by establishing an ROC curve. The cutoff point was 2.38 and the AUC was 0.826 (P<0.001, 95%CI=0.766-0.885).

Discussion

NSCLC is a common, slow-developing lung cancer with complex pathogenesis; its progression involves in not only several stages, but also many oncogenes and tumor suppressor genes [23,24]. Bai et al. found that miR-32 was associated with progression and predicted the prognosis of NSCLC [25]. Jiang et al. [26] reported that HE4 serves as a tumor marker for NSCLC, and its low expression can predict a poor prognosis of NSCLC patients. Ke et al. revealed that the over-expression of CTHRC1 was related to tumor aggressiveness and prognosis of human NSCLC [27]. It was demonstrated by Ji et al. that low expression of PTRN and over-expression of Ki67 were correlated with lymph node metastasis and malignant invasion of NSCLC [23].

FOXD3 is a member of the winged-helix/fork-head transcription factor family, which is characterized by a conserved domain containing 100 residues and that is required for the activity of DNA-binding [18]. It is mainly expressed in the multi-potent cells, including embryonic stem cells and tumor cells. Reports have revealed that FOXD3 plays important roles in the maintenance and self-renewal of embryonic stem cells, and is strongly related to the early development of embryos [23]. Studies on the effects of FOXD3 on tumor stem cells have also been reported. Steiner et al. suggested that FOXD3 was essential for the development of xenopus dorsal mesoderm [28]. It was reported by Teng et al. that FOXD3 was required in maintaining the progenitors of the neural crest [29]. All these reports provide theories relevant to studying the relationship between FOXD3 and NSCLC.

In addition, Ectopic expression of FOXD3 has been reported in various diseases. Wang et al. reported that FOXD3 was down-regulated in lung cancer and could suppress the development of this disease [11]. Low expression of FOXD3 in breast cancer was reported by Zhao et al. [21]. In the present study, we first detected the expression of FOXD3 in NSCLC patients, showing that the expression level of FOXD3 was significantly lower in NSCLC patients than in controls at mRNA and protein levels, which was in accord with previous studies. It can be concluded that FOXD3 might be a tumor suppressor in NSCLC.

Then, we assessed the correlation of FOXD3 with the tumorigenesis of NSCLC by analyzing the relationship of FOXD3 expression and clinical features of NSCLC patients. FOXD3 was proved to have close relationships with differentiation, TNM stage, and lymph node metastasis. Subsequently, in order to explore the diagnostic value of FOXD3 in patients with NSCLC, an ROC curve was built. As a result, a high AUC, as well as high sensitivity and specificity, were obtained, showing that FOXD3 is an independent diagnostic marker in NSCLC.

In previous studies, the precise mechanism and function of FOXD3 in the tumorigenesis and progression of diseases were revealed and it was reported that it cannot be regulated by some genes. For instance, Basile et al. showed that FOXD3 affects mutant B-RAF melanoma cells via regulating PLX4032/4720 [30]. Guo et al. found that FOXD3 interacted with Oct-4 to regulate the expression of endodermal specific promoter [31]. Liu et al. demonstrated that FOXD3 regulates the expression of microRNA-137 tumor growth in hepatocellular cancer [32]. However, its mechanisms in NSCLC remains unclear. Our group plans to explore this topic further in future research

Conclusions

FOXD3 is down-regulated and plays an important role in the development of NSCLC. In addition, it can act as a diagnostic bio-marker for patients with NSCLC. The present study is limited by its small samples size and further studies are needed.

Footnotes

Source of support: Departmental sources

References

  • 1.Jemal A, Bray F, Center MM, et al. Global cancer statistics. Cancer J Clin. 2011;61(2):69–90. doi: 10.3322/caac.20107. [DOI] [PubMed] [Google Scholar]
  • 2.Tian C, Lu S, Fan Q, et al. Prognostic significance of tumor-infiltrating CD8(+) or CD3(+) T lymphocytes and interleukin-2 expression in radically resected non-small cell lung cancer. Chin Med J (Engl) 2015;128(1):105–10. doi: 10.4103/0366-6999.147828. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 3.Zhang J, Ou Y, Ma Y, et al. Clinical implications of insulin-like growth factor II mRNA-binding protein 3 expression in non-small cell lung carcinoma. Oncol Lett. 2015;9(4):1927–33. doi: 10.3892/ol.2015.2910. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 4.Huang AL, Liu SG, Qi WJ, et al. TGF-beta1 protein expression in non-small cell lung cancers is correlated with prognosis. Asian Pac J Cancer Prev. 2014;15(19):8143–47. doi: 10.7314/apjcp.2014.15.19.8143. [DOI] [PubMed] [Google Scholar]
  • 5.Qi L, Li SH, Si LB, et al. Expression of THOP1 and its relationship to prognosis in non-small cell lung cancer. PLoS One. 2014;9(9):e106665. doi: 10.1371/journal.pone.0106665. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 6.Zhang S, Zhai X, Wang G, et al. High expression of MAGE-A9 in tumor and stromal cells of non-small cell lung cancer was correlated with patient poor survival. Int J Clin Exp Pathol. 2015;8(1):541–50. [PMC free article] [PubMed] [Google Scholar]
  • 7.Yang YR, Zang SZ, Zhong CL, et al. Increased expression of the lncRNA PVT1 promotes tumorigenesis in non-small cell lung cancer. Int J Clin Exp Pathol. 2014;7(10):6929–35. [PMC free article] [PubMed] [Google Scholar]
  • 8.Hao Y, Liu J, Wang P, et al. OPN polymorphism is related to the chemotherapy response and prognosis in advanced NSCLC. Int J Genomics. 2014;2014 doi: 10.1155/2014/846142. 846142. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 9.Yin QW, Sun XF, Yang GT, et al. Increased expression of microRNA-150 is associated with poor prognosis in non-small cell lung cancer. Int J Clin Exp Pathol. 2015;8(1):842–46. [PMC free article] [PubMed] [Google Scholar]
  • 10.Ge H, Li B, Hu WX, et al. MicroRNA-148b is down-regulated in non-small cell lung cancer and associated with poor survival. Int J Clin Exp Pathol. 2015;8(1):800–5. [PMC free article] [PubMed] [Google Scholar]
  • 11.Wang C, Huang Y, Dai W. Tumor suppression function of FoxD3 in lung cancer. Ir J Med Sci. 2016;185(3):547–53. doi: 10.1007/s11845-015-1297-2. [DOI] [PubMed] [Google Scholar]
  • 12.Fairchild CL, Conway JP, Schiffmacher AT, et al. FoxD3 regulates cranial neural crest EMT via downregulation of tetraspanin18 independent of its functions during neural crest formation. Mech Dev. 2014;132:1–12. doi: 10.1016/j.mod.2014.02.004. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 13.Chu TL, Zhao HM, Li Y, et al. FoxD3 deficiency promotes breast cancer progression by induction of epithelial-mesenchymal transition. Biochem Biophys Res Commun. 2014;446(2):580–84. doi: 10.1016/j.bbrc.2014.03.019. [DOI] [PubMed] [Google Scholar]
  • 14.Abel EV, Aplin AE. FOXD3 is a mutant B-RAF-regulated inhibitor of G(1)-S progression in melanoma cells. Cancer Res. 2010;70(7):2891–900. doi: 10.1158/0008-5472.CAN-09-3139. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 15.Chang LL, Kessler DS. Foxd3 is an essential Nodal-dependent regulator of zebrafish dorsal mesoderm development. Dev Biol. 2010;342(1):39–50. doi: 10.1016/j.ydbio.2010.03.017. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 16.Nelms BL, Pfaltzgraff ER, Labosky PA. Functional interaction between Foxd3 and Pax3 in cardiac neural crest development. Genesis. 2011;49(1):10–23. doi: 10.1002/dvg.20686. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 17.Wang WD, Melville DB, Montero-Balaguer M, et al. Tfap2a and Foxd3 regulate early steps in the development of the neural crest progenitor population. Dev Biol. 2011;360(1):173–85. doi: 10.1016/j.ydbio.2011.09.019. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 18.Yaklichkin S, Steiner AB, Lu Q, Kessler DS. FoxD3 and Grg4 physically interact to repress transcription and induce mesoderm in Xenopus. J Biol Chem. 2007;282(4):2548–57. doi: 10.1074/jbc.M607412200. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 19.Katiyar P, Aplin AE. FOXD3 regulates migration properties and Rnd3 expression in melanoma cells. Mol Cancer Res. 2011;9(5):545–52. doi: 10.1158/1541-7786.MCR-10-0454. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 20.Cheng AS, Li MS, Kang W, et al. Helicobacter pylori causes epigenetic dysregulation of FOXD3 to promote gastric carcinogenesis. Gastroenterology. 2013;144(1):122–33e9. doi: 10.1053/j.gastro.2012.10.002. [DOI] [PubMed] [Google Scholar]
  • 21.Zhao H, Chen D, Wang J, et al. Downregulation of the transcription factor, FoxD3, is associated with lymph node metastases in invasive ductal carcinomas of the breast. Int J Clin Exp Pathol. 2014;7(2):670–76. [PMC free article] [PubMed] [Google Scholar]
  • 22.Li D, Mei H, Qi M, et al. FOXD3 is a novel tumor suppressor that affects growth, invasion, metastasis and angiogenesis of neuroblastoma. Oncotarget. 2013;4(11):2021–44. doi: 10.18632/oncotarget.1579. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 23.Ji Y, Zheng M, Ye S, et al. PTEN and Ki67 expression is associated with clinicopathologic features of non-small cell lung cancer. J Biomed Res. 2014;28(6):462–67. doi: 10.7555/JBR.27.20130084. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 24.Lee S, Choi EJ, Jin C, Kim DH. Activation of PI3K/Akt pathway by PTEN reduction and PIK3CA mRNA amplification contributes to cisplatin resistance in an ovarian cancer cell line. Gynecol Oncol. 2005;97(1):26–34. doi: 10.1016/j.ygyno.2004.11.051. [DOI] [PubMed] [Google Scholar]
  • 25.Bai Y, Wang YL, Yao WJ, et al. Expression of miR-32 in human non-small cell lung cancer and its correlation with tumor progression and patient survival. Int J Clin Exp Pathol. 2015;8(1):824–29. [PMC free article] [PubMed] [Google Scholar]
  • 26.Jiang Y, Wang C, Lv B, et al. Expression level of serum human epididymis 4 and its prognostic significance in human non-small cell lung cancer. Int J Clin Exp Med. 2014;7(12):5568–72. [PMC free article] [PubMed] [Google Scholar]
  • 27.Ke Z, He W, Lai Y, et al. Overexpression of collagen triple helix repeat containing 1 (CTHRC1) is associated with tumour aggressiveness and poor prognosis in human non-small cell lung cancer. Oncotarget. 2014;5(19):9410–24. doi: 10.18632/oncotarget.2421. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 28.Steiner AB, Engleka MJ, Lu Q, et al. FoxD3 regulation of Nodal in the Spemann organizer is essential for Xenopus dorsal mesoderm development. Development. 2006;133(24):4827–38. doi: 10.1242/dev.02663. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 29.Teng L, Mundell NA, Frist AY, et al. Requirement for Foxd3 in the maintenance of neural crest progenitors. Development. 135(9):1615–24. doi: 10.1242/dev.012179. 200. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 30.Basile KJ, Abel EV, Aplin AE. Adaptive upregulation of FOXD3 and resistance to PLX4032/4720-induced cell death in mutant B-RAF melanoma cells. Oncogene. 2012;31(19):2471–79. doi: 10.1038/onc.2011.424. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 31.Guo Y, Costa R, Ramsey H, et al. The embryonic stem cell transcription factors Oct-4 and FoxD3 interact to regulate endodermal-specific promoter expression. Proc Natl Acad Sci USA. 2002;99(6):3663–67. doi: 10.1073/pnas.062041099. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 32.Liu LL, Lu SX, Li M, et al. FoxD3-regulated microRNA-137 suppresses tumour growth and metastasis in human hepatocellular carcinoma by targeting AKT2. Oncotarget. 2014;5(13):5113–24. doi: 10.18632/oncotarget.2089. [DOI] [PMC free article] [PubMed] [Google Scholar]

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