Abstract
Background
As the major subfamily of receptor tyrosine, erythropoietin-producing hepatocellular (Eph) receptor has been related to progression and prognosis in different types of tumors. However, the role and mechanism of EPHA3 in gastric cancer is still not well understood.
Methods
Specimen were collected from 202 patients who underwent gastric resection for gastric adenocarcinoma. The expression of EphA3 was studied using immunohistochemistry. We analyzed the clinicopathological factors and prognostic relevance of EphA3 expression in gastric cancer.
Results
High expression of EphA3 was associated with male predominance (p = 0.031), differentiated histology (p < 0.001), depth of tumor (p = 0.002), lymph node metastasis (p = 0.001), distant metastasis (p = 0.021), liver metastasis (p = 0.024), advanced stage (p < 0.001), and high HER2 expression (p = 0.017). Relapse-free survival (RFS) was significantly worse in patients with high expression of EphA3 than in those with low expression of EphA3 (p = 0.014). Multivariate analysis for RFS showed that depth of tumor [hazard ratio (HR) 9.333, 95% confidence interval (CI) 2.183–39.911, p = 0.003] and lymph node metastasis [hazard ratio (HR) 5.734, 95% confidence interval (CI) 2.349–13.997, p < 0.001] were independent prognostic factors.
Conclusions
These findings suggest that high expression EphA3 may participate in metastasis and worse survival.
Keywords: Gastric cancer, Metastasis, Oncogenes
Background
Although a constant decrease in gastric cancer incidence and mortality rates has been reported, stomach cancer ranks as the fifth most common malignancy and the third leading cause of death worldwide [1]. Despite current advanced therapeutic options including surgical resection, chemotherapy, hormonal therapy, radiotherapy, the estimated 5-year survival rate is still poor, varying from 64% for early stage to 4% for advanced distant metastatic stage [2]. Although many receptor tyrosine kinases (RTKs) are related to invasion and metastasis of gastric cancer, only a human epidermal growth factor receptor (HER-2) blocker has been accepted as molecular targeted therapy. Unfortunately, merely 10–20% of all patients with stomach cancer are HER-2 positive and the median survival time was only 16 months in HER-2 positive patients who underwent chemotherapy with trastuzumab [3, 4]. Hence, new diagnostic tools, novel therapeutic methods and new prognostic molecular markers for gastric cancer are urgently demanded.
Erythropoietin-producing hepatocellular carcinoma receptor (Eph) and their cell-associated ephrin ligands are associated with neoangiogenesis and invasive tumor progression, and are progressively being focused as new therapeutic targets in clinical trials [5]. Ephs and ephrins are abundantly found in multiple types of tumors, where their oncogenic roles often reflect their dichotomous developmental activities. Therefore, depending on tumor types and disease stages, high expression Ephs can stimulate or suppress tumor progression [6–8]. Recent papers have proven the prospective target therapy of EphA1 and EphA4 for gastric cancer. EphA3, a subclass of Ephs, is reported to relate to certain types of solid cancers [9, 10]. However the role and mechanism of EphA3 in gastric cancer is not well understood. We aim to elucidate the clinicopathological factors and prognostic importance of EphA3 role in gastric cancer.
Methods
Patients
Between January 2003 and March 2007, after excluding total 16 patients with distant metastasis at time of surgery or positive peritoneal lavage cytology for which were regarded as stage IV, there were total 202 patients undergoing gastrectomy for primary gastric tumor in the Department of Gastric Surgery of Tokyo Medical and Dental University. All participants received detailed explanation of the research, and well written informed consent was obtained. This study was designed in accordance with the Declaration of Helsinki and was authorized by the Institutional Review Board of Tokyo Medical and Dental University. All tumors were classified according to the 7th edition of tumor node metastasis classification. HER2 expression was also investigated. All patients were followed up every 3–6 months with multimodalities including computed tomography, abdominal ultrasonography, endoscopy, and tumor marker analysis. Positron emission tomography and bone scintigraphy, magnetic resonance imagings were considered as needed. Patients with recurrent disease received chemotherapy with TS-1 (Titanium silicate) as single regimen or combined chemotherapy. All patients were followed up for 5 years until July 2011. The mean follow up period was 61.4 ± 25.7 months. There were 60 deaths reported with 50 (83.3%) deaths from recurrence and 10 (16.7%) deaths due to other causes.
Immunohistocheminal Analysis of EphA3
All of the hematoxylin and eosin–stained samples were reviewed. Immunohistochemical staining was performed on 3- to 4-μM sections from formalin-fixed, paraffin-embedded tissue. After deparaffinization in xylene, the slides were rehydrated and treated with double-distilled water (DDW). Antigen retrieval by microwave pre-treatment was performed for 15 min in 6 mmol/L sodium citrate buffer (pH 6.0) (Mitsubishi Chemical Medience Corporation, Tokyo, Japan) at 98 °C. Endogenous peroxidase was quenched by 15 minutes incubation in a mixture of 3% hydrogen peroxidase solution in 100% methanol. After treating with DDW and phosphate buffered saline (PBS), specimen was incubated with the primary antibody to EphA3 (dilution 1:500) (EphA3 (L-18): sc-920 SANTA CRUZ Biotechnology, USA) for 15 min at room temperature and then 16 h at 4 °C. Specimen was treated three times with 0.1% Tween 20/PBS and then was incubated with peroxidase-labelled anti-rabbit or anti-mouse antibodies (Histofine Simplestain Max PO; Nichirei) for 30 min at room temperature. Peroxidase activity was detected with diaminobenzidine (Nichirei). Sections were then counterstained with hematoxylin.
Interpretation of the immunostaining results
Staining intensity was classified into three grades: 0 (none), 1 (weakly positive), 2 (moderately or strongly positive). Staining extensity (positive frequency) was also classified into three grades according to the percentage of stained tumor cells: 0 (0–9%), 1 (10–49%), and 2 (50–100%). Samples with moderate positivity but staining extensity was less than 10% were graded as staining intensity of 1 (weakly positive). Composites score was the sum of the strongest intensity score and the total extensity score. For statistical analysis, composite scores ≥ 3 were classified as high expression and scores < 3 were classified as low expression. Two investigators (M.K and T.Y), who were blinded to patients’ outcomes independently evaluated stained tumor cells in at least three field per section, including the deepest site invaded by tumor cells, the most superficial site of the lesion and the intermediate zone. Any differences between the two investigators were resolved by reassessment and consensus.
Statistical analysis
Chi-square test was utilized to analyze the hypothetical association between the expression of EphA3 and patient clinicopathological factors. Overall survival (OS), and relapse-free survival (RFS) were used to evaluate the prognosis. Kaplan-Meier curves were plotted to assess the effect of EphA3 expression on overall survival (OS) and relapse-free survival (RFS). Differences between the curves were analyzed by the log-rank test. Multivariate Cox proportional-harzards regression models were utilized to analyze the prognostic significance of expression of EphA3 and other clinicopathological factors. Statistical analysis was performed using IBM SPSS Statistics 23 software (IBM, Inc., Armonk, NY, and U.S.A). A p value <0.05 was considered statistically significant.
Results
EPHA3 immunohistochemistry
Representative cases of each staining intensity are shown in Fig. 1. EphA3 expression was mainly located in the cytoplasm and at the cell membrane. High expression (composite score ≥ 3) of EphA3 was found in 91 sample (45%) and low expression (composite score < 3) of EphA3 was found in 111 samples (55%). Non-cancerous gastric tissue which was stained without 1st antibody did not show immunostaining for EphA3. Some non-cancerous gastric tissue showed staining in the mesenchyme not in the mucosal layer. We have two cell lines KATO III (undifferentiated type) which showed weak EphA3 staining and MKN 74 (differentiated type) which showed strong EphA3 staining. However staining in these cell lines is not known to express EphA3.
Relationship between EPHA3 expression and clinicopathological factors
The association between EphA3 expression and clinicopathological factors is summarized in Table 1. High expression of EphA3 was associated with differentiated histology (p < 0.001), depth of tumor (p = 0.002), lymph node metastasis (p = 0.001), stage (p < 0.001), recurrence (p = 0.024), especially liver recurrence (p = 0.024) and HER2 expression (p = 0.017).
Table 1.
Variables | EphA3 | |||
---|---|---|---|---|
n n = 202 |
Low n = 111 (n, %) |
High n = 91 (n, %) |
p value | |
Age | ||||
< 65 | 97 | 60 (61.9) | 37 (38.1) | 0.067 |
≥ 65 | 105 | 51 (48.6) | 54 (51.4) | |
Gender | ||||
Female | 48 | 33 (68.8) | 15 (31.3) | 0.031 |
Male | 154 | 78 (50.6) | 76 (49.4) | |
Main location | ||||
Middle or Lower | 160 | 93 (58.1) | 67 (41.9) | 0.084 |
Upper | 42 | 18 (42.9) | 24 (57.1) | |
WHO pathological type | ||||
Differentiated | 99 | 39 (39.4) | 60 (60.6) | <0.001 |
Undifferentiated | 103 | 72 (69.9) | 31 (30.1) | |
Depth of invasion | ||||
T1 | 87 | 59 (67.8) | 28 (32.2) | 0.002 |
T2/3/4 | 115 | 52 (45.2) | 63 (54.8) | |
Lymph node metastasis | ||||
Negative | 113 | 74 (65.5) | 39 (34.5) | 0.001 |
Positive | 89 | 37 (41.6) | 52 (58.4) | |
Stage | ||||
I | 106 | 72 (67.9) | 34 (32.1) | <0.001 |
II/III | 96 | 39 (40.4) | 57 (59.4) | |
Distant recurrence | ||||
Negative | 152 | 91 (59.9) | 61 (40.1) | 0.021 |
Positive | 50 | 20 (40) | 30 (60) | |
Liver recurrence | ||||
Negative | 194 | 110 (56.7) | 84 (43.3) | 0.024 |
Positive | 8 | 1 (12.5) | 7 (87.5) | |
Peritoneal recurrence | ||||
Negative | 182 | 99 (54.4) | 83 (45.6) | 0.814 |
Positive | 20 | 12 (60) | 8 (40) | |
HER2 | ||||
Negative | 186 | 107 (57.5) | 79 (42.5) | 0.017 |
Positive | 16 | 4 (25) | 12 (75) |
P < 0.05, statistically significant
Correlation between EPHA3 expression and survival
Kaplan-Meier curves were plotted to assess the effect of EphA3 expression on relapse free survival (RFS) and overall survival (OS). Survival analysis by log-rank test suggested that high EphA3 expression associated with a significantly shorter RFS (82% vs 67%) and OS (82% vs 68.1%) (Fig. 2; Table 2). Multivariate analysis for RFS showed that depth of tumor [hazard ratio (HR) 9.3, 95% confidence interval (CI) 2.183–39.911, p = 0.003] and lymph node metastasis [hazard ratio (HR) 5.7, 95% confidence interval (CI) 2.349–13.997, p < 0.001] were independent prognostic factors (Table 2). Similarly multivariate analysis for overall survival (OS) also showed that depth of tumor [hazard ratio (HR) 8.8, 95% confidence interval (CI) 2.038–37.881, p = 0.004] and lymph node metastasis [hazard ratio (HR) 5.9, 95% confidence interval (CI) 2.417–14.537, p < 0.001] were independent prognostic factors for OS (Fig. 3, Table 3).
Table 2.
Variables | Univariate (log-rank) | Multivariate | |||
---|---|---|---|---|---|
5-years RFS (%) | p | HR | 95% CI | p | |
Age | |||||
< 65 | 75.5 | 0.809 | |||
≥ 65 | 74.5 | ||||
Gender | |||||
Female | 77.1 | 0.655 | |||
Male | 74.4 | ||||
Main location | |||||
Middle or Lower | 80.1 | 0.001 | 1 | ||
Upper | 55.8 | 1.684 | 0.937–3.029 | 0.082 | |
WHO pathological type | |||||
Differentiated | 84 | 0.03 | 1 | ||
Undifferentiated | 66.3 | 1.616 | 0.841–3.103 | 0.149 | |
Depth of invasion | |||||
T1 | 97.7 | <0.001 | 1 | ||
T2,3,4 | 58.1 | 9.333 | 2.183–39.911 | 0.003 | |
Lymph node metastasis | |||||
Negative | 94.7 | <0.001 | 1 | ||
Positive | 50.5 | 5.734 | 2.349–13.997 | <0.001 | |
EPHA3 | |||||
Low | 82.0 | 0.014 | 1 | ||
High | 67.0 | 1.313 | 0.705–2.447 | 0.391 | |
HER2 | |||||
Negative | 75.5 | 0.538 | |||
Positive | 68.8 |
RFS relapse-free survival, HR harzard ratio, CI confidence interval; P < 0.05, statistically significant
Table 3.
Variables | Univariate (log-rank) | Multivariate | |||
---|---|---|---|---|---|
5-years OS (%) | p | HR | 95% CI | p | |
Age | |||||
< 65 | 76.5 | 0.578 | |||
≥ 65 | 74.5 | ||||
Gender | |||||
Female | 79.2 | 0.516 | |||
Male | 74.4 | ||||
Main location | |||||
Middle or Lower | 80.1 | 0.001 | 1 | ||
Upper | 58.1 | 1.654 | 0.907–3.017 | 0.101 | |
WHO pathological type | |||||
Differentiated | 83 | 0.01 | 1 | ||
Undifferentiated | 68.3 | 1.475 | 0.766–2.842 | 0.246 | |
Depth of invasion | |||||
T1 | 97.7 | <0.001 | 1 | ||
T2,3,4 | 59 | 8.785 | 2.038–37.881 | 0.004 | |
Lymph node metastasis | |||||
Negative | 94.7 | <0.001 | 1 | ||
Positive | 51.6 | 5.928 | 2.417–14.537 | <0.001 | |
EPHA3 | |||||
Low | 82.0 | 0.026 | 1 | ||
High | 68.1 | 1.147 | 0.603–2.181 | 0.677 | |
HER2 | |||||
Negative | 75.76.15 | 0.431 | |||
Positive | 68.8 |
OS overall survival, HR harzard ratio, CI confidence interval; P < 0.05; statistically significant
Discussions
Our study suggests that high expression of EphA3 may play crucial roles in tumor development, metastasis, and survival in gastric cancer. To our best of knowledge, our study along with Xi et al is the only two articles regarding the clinical outcomes of the novel receptor EphA3 in gastric cancer [11].
EphA3 found abundantly in mesenchymal tissues of developing axial muscles, respiratory tract, kidney, and heart, is involved in mesoderm, neural patterning, and is crucial for endothelial-to-mesenchymal transition during heart development [12, 13]. There is very limited evidence for physiologic function, but EphA3 is overexpressed in solid and hematopoietic tumor cells [8, 11, 14]. The effect of EphA3 on human cancers is variable. High expression of EphA3 was related to lymph node metastasis and advanced stages in colorectal cancer [15] and was associated with higher Gleason score in prostate cancer [16]. In hepatocellular carcinoma, high EphA3 expression was related with tumor size, tumor grade, metastasis, venous invasion [9]. However, high expression of EphA3 was reported to suppress the growth of non-small cell lung cancer [10]. Eph receptor tyrosine kinases are crucial for intercellular communication during physiologic and oncogenic tissue patterning and tumor development [5, 17]. Differences in EphA3 are thought to generate certain morphological and biological characteristics, such as cell growth and viability, loss of cell adhesion to fibronectin, cell migration, and apoptosis. Abundant evidences show that aberrant regulation of EphA3 and its genetic variation are strongly related to the development and progression of many types of solid cancers [18–20]. Although the exact mechanism of how EphA3 regulates its downstream is not well understood, it is hypothesized that EphA subgroup stimulates tumor progression by activating Jak/Stat and Akt/PI3 K signals [21–24].
One of the limitations is that we do not have cell culture experiment results. Our study along with Xi et al [11] is the only two articles focusing on the newly discovered receptor EphA3. The recent study of Xi et al showed the higher expression of EphA3 in gastric adenocarcinoma than in normal tissue [11]. Although EphA3 failed to reach the statistical value for independent prognostic factor, our study showed that EphA3 overexpression was associated with depth of tumor, lymph node metastasis, stage, distant metastasis and recurrence of gastric cancer. These findings are in accord with Xi et al study. Other limitation is that our study mainly focused on immunohistochemical staining of EphA3. Further genetic evaluation or quantitative assessment is crucial to confirm the outcomes of this study, although mRNA expression level and Western blot of EphA3 was shown to be overexpressed in gastric cancer tissue than in normal tissue by Xi et al [11].
While Xi et al emphasized overexpression of EphA3 correlated with worse survival curve, our findings proved that high expression of EphA3 associated with poorer RFS of gastric cancer with higher rate of distant recurrence especially liver recurrence. Our study has suggested prospective investigation for the possibility of correlation between EphA3 and liver recurrence in gastric cancer.
Conclusions
This present study showed that EphA3 overexpression was associated with depth of tumor, lymph node metastasis, stage, distant recurrence, liver recurrence and poorer RFS of gastric cancer. These findings hypothesize that EphA3 can be a potential target of molecular targeted therapy of gastric cancer.
Acknowledgement
The authors deeply thank Ms. Junko Inoue for her exceptional technical assistance with the immunohistochemical staining of the present study.
Funding
There is no funding to be declared.
Availability of data and materials
The datasets used during the current study are available from the corresponding author on reasonable request.
Authors’ contributions
The paper was conceived by BN, MI and TI.The prediction model was created by HU, YT, SO, KK and TK provided insight into the validation cohort. All authors commented on initial drafts of the manuscript and approved the final version.
Competing interests
The authors declare that they have no competing interests.
Consent for publication
Not applicable.
Ethic approval and consent to participate
This study was designed in accordance with the Declaration of Helsinki and was approved by the Institutional Review Board of Tokyo Medical and Dental University. All patients received sufficient explanation of the study, and written informed consent was obtained.
Publisher’s Note
Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.
Abbreviations
- CI
Confidence interval
- DDW
Double-distilled water
- EpHA3
Erythropoietin-producing hepatocellular A3
- HER-2
Human epidermal growth factor receptor 2
- HR
Hazard ratio
- OS
Overall survival
- PBS
Phosphate buffered saline
- RFS
Relapse-free survival
- RTKs
Receptor tyrosine kinases
- TS-1
Titanium silicate
References
- 1.Global Cancer Statistic. GLOBOCAN 2012: Estimated Cancer Incidence, Mortality and Prevalence Worldwide in 2012. http://globocan.iarc.fr/Default.aspx.
- 2.American Cancer Society’s publication, Cancer Fact & Figures 2015.
- 3.Gravalos C, Jimeno A. HER-2 in gastric cancer: a new prognostic factor and a novel therapeutic target. Ann Oncol. 2008;19(9):1523–9. doi: 10.1093/annonc/mdn169. [DOI] [PubMed] [Google Scholar]
- 4.Bang YJ, Van Cutsem E, Feyereislova A, et al. ToGA Trial Investigators. Trastuzumab in combination with chemotherapy versus chemotherapy alone for treatment of HER-2 positive advanced gastric or gastro-oesophageal junction cancer (ToGA): a phase 3, open-label, randomized controlled trial. Lancet. 2010;376:687–97. doi: 10.1016/S0140-6736(10)61121-X. [DOI] [PubMed] [Google Scholar]
- 5.Boyd AW, Bartlett PF, Lackmann M. Therapeutic targeting of EPH receptors and their ligands. Nat Rev Drug Discov. 2014;13:39–62. doi: 10.1038/nrd4175. [DOI] [PubMed] [Google Scholar]
- 6.Noren NK, Foos G, Hauser CA, Pasquale EB. The EphB4 receptor suppresses breast cancer cell tumorigenicity through an Abl-Crk pathway. Nat Cell Biol. 2006;8:815–25. doi: 10.1038/ncb1438. [DOI] [PubMed] [Google Scholar]
- 7.Genander M, Halford MM, Xu NJ, Eriksson M, Yu Z, Qiu Z, et al. Dissociation of EphB2 signaling pathways mediating progenitor cell proliferation and tumor suppression. Cell. 2009;139:679–92. doi: 10.1016/j.cell.2009.08.048. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 8.Day BW, Stringer BW, Al-Ejeh F, Ting MJ, Wilson J, Ensbey KS, et al. EphA3 maintains tumorigenicity and is a therapeutic target in glioblastoma multiforme. Cancer Cell. 2013;23:238–48. doi: 10.1016/j.ccr.2013.01.007. [DOI] [PubMed] [Google Scholar]
- 9.Stephen LJ, Fawkes AL, Verhoeve A, Lemke G, Brown A. A critical role for the EphA3 receptor tyrosine kinase in heart development. Dev Biol. 2007;302:66–79. doi: 10.1016/j.ydbio.2006.08.058. [DOI] [PubMed] [Google Scholar]
- 10.Keane N, Freeman C, Swords R, Giles FJ. EPHA3 as a novel therapeutic target in the hematological malignancies. Expert Rev Hematol. 2012;5:325–40. doi: 10.1586/ehm.12.19. [DOI] [PubMed] [Google Scholar]
- 11.Nakagawa M, Inokuchi M, Takagi Y, Kato K, Sugita H, Otsuki S, Kojima K, Uetake H, Sugihara K. Erythropoietin-producing hepatocellular A1 is an Independent prognostic factor for gastric cancer. Ann Surg Oncol. 2015;22(7):2329–35. doi: 10.1245/s10434-014-4231-3. [DOI] [PubMed] [Google Scholar]
- 12.Miyazaki K, Inokuchi M, Takagi Y, Kato K, Kojima K, Sugihara K. EphA4 is a prognostic factor in gastric cancer. BMC Clin Pathol. 2013;13(1):19. doi: 10.1186/1472-6890-13-19. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 13.Lu CY, Yang ZX, Zhou L, Huang ZZ, et al. High levels of EphA3 expression are associated with high invasive capacity and poor overall survival in hepatocellular carcinoma. Oncol Rep. 2013;30(5):2179–86. doi: 10.3892/or.2013.2679. [DOI] [PubMed] [Google Scholar]
- 14.Zhuang G, Song W, Amato K, Hwang Y, et al. Effects of cancer-associated EPHA3 mutations on lung cancer. J Natl Cancer Inst. 2012;104(15):1182–97. doi: 10.1093/jnci/djs297. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 15.Xi H-Q, Wu X-S, Wei B, Lin C. Aberrant expression of EphA3 in gastric carcinoma: correlation with tumor angiogenesis and survival. J Gastroenterol. 2012;47(7):785–94. doi: 10.1007/s00535-012-0549-4. [DOI] [PubMed] [Google Scholar]
- 16.Oates AC, Lackmann M, Power MA, Brennan C. An early developmental role for eph-ephrin interaction during vertebrate gastrulation. Mech Dev. 1999;83:77–94. [DOI] [PubMed]
- 17.Xi HQ, Zhao P. Clinicopathological significance and prognostic value of EphA3 and CD133 expression in colorectal carcinoma. J Clin Pathol. 2011;64(6):498–503. doi: 10.1136/jcp.2010.087213. [DOI] [PubMed] [Google Scholar]
- 18.Wu R, Wang H, Wang J, et al. EphA3, induced by PC-1/PrLZ, contributes to the malignant progression of prostate cancer. Oncol Rep. 2014;32(6):2657–65. doi: 10.3892/or.2014.3482. [DOI] [PubMed] [Google Scholar]
- 19.Pasquale EB. Eph receptors and ephrins in cancer: bidirectional signaling and beyond. Nat Rev Cancer. 2010;10:165–80. doi: 10.1038/nrc2806. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 20.Davies H, Hunter C, Smith R, et al. Somatic mutations of the protein kinase gene family in human lung cancer. Cancer Res. 2005;65:7591–5. doi: 10.1158/0008-5472.CAN-05-1855. [DOI] [PubMed] [Google Scholar]
- 21.Bardelli A, Parsons DW, Silliman N, et al. Mutational analysis of the tyrosine kinome in colorectal cancers. Science. 2003;300(5621):949. doi: 10.1126/science.1082596. [DOI] [PubMed] [Google Scholar]
- 22.Lee JS, Thorgeirsson SS. Comparative and integrative functional genomics of HCC. Oncogene. 2006;25(27):3801–9. doi: 10.1038/sj.onc.1209561. [DOI] [PubMed] [Google Scholar]
- 23.Pasquale EB. Eph-ephrins bidirectional signaling in physiology and disease. Cell. 2008;133(1):38–52. doi: 10.1016/j.cell.2008.03.011. [DOI] [PubMed] [Google Scholar]
- 24.Identification of the Jak/Stat proteins as novel downstream targets of EphA4 signaling in muscle: implications in the regulation of acetylcholinesterase expression. J Biol Chem. 2004; 279(14):13383–92 [DOI] [PubMed]
Associated Data
This section collects any data citations, data availability statements, or supplementary materials included in this article.
Data Availability Statement
The datasets used during the current study are available from the corresponding author on reasonable request.