Brief Article Open Access
Copyright ©2012 Baishideng Publishing Group Co., Limited. All rights reserved.
World J Gastroenterol. Apr 7, 2012; 18(13): 1531-1537
Published online Apr 7, 2012. doi: 10.3748/wjg.v18.i13.1531
Clinical implication of 14-3-3 epsilon expression in gastric cancer
Mariana Ferreira Leal, Danielle Queiroz Calcagno, Marília de Arruda Cardoso Smith, Genetics Division, Department of Morphology and Genetic, Federal University of São Paulo, São Paulo 04023-900, Brazil
Sâmia Demachki, Pathology Service, João de Barros Barreto University Hospital, Federal University of Pará, Belém 60673-000, Brazil
Paulo Pimentel Assumpção, Surgery Service, João de Barros Barreto University Hospital, Federal University of Pará, Belém 60673-000, Brazil
Roger Chammas, Laboratory of Experimental Oncology, School of Medicine, University of São Paulo, São Paulo 01246-903, Brazil
Rommel Rodríguez Burbano, Human Cytogenetics Laboratory, Institute of Biological Sciences, Federal University of Pará, Belém 66073-000, Brazil
Author contributions: Chammas R, Burbano RR and Smith MAC designed the study; Leal MF was involved in literature searches, and genetic and statistical analysis; Leal MF and Calcagno DQ were involved in data collection; Demachki S was responsible for pathological analysis; Assumpção PP was responsible for sample collection; Leal MF wrote the first draft of the manuscript; all authors listed have contributed to all subsequent drafts, and have approved the final manuscript.
Supported by Conselho Nacional de Desenvolvimento Científico e Tecnológico (CNPq; Chammas R, Smith MAC and Burbano RR) and Fundação de Amparo à Pesquisa do Estado de São Paulo (FAPESP; Leal MF and Calcagno DQ)
Correspondence to: Mariana Ferreira Leal, PhD, Genetics Division, Department of Morphology and Genetic, Federal University of São Paulo, R. Botucatu, 740, São Paulo 04023-900, Brazil. mariana.morf@epm.br
Telephone: +55-11-55764260 Fax: +55-11-55764260
Received: May 24, 2011
Revised: December 23, 2011
Accepted: December 31, 2011
Published online: April 7, 2012

Abstract

AIM: To evaluate for the first time the protein and mRNA expression of 14-3-3ε in gastric carcinogenesis.

METHODS: 14-3-3ε protein expression was determined by western blotting, and mRNA expression was examined by real-time quantitative RT-PCR in gastric tumors and their matched non-neoplastic gastric tissue samples.

RESULTS: Authors observed a significant reduction of 14-3-3ε protein expression in gastric cancer (GC) samples compared to their matched non-neoplastic tissue. Reduced levels of 14-3-3ε were also associated with diffuse-type GC and early-onset of this pathology. Our data suggest that reduced 14-3-3ε may have a role in gastric carcinogenesis process.

CONCLUSION: Our results reveal that the reduced 14-3-3ε expression in GC and investigation of 14-3-3ε interaction partners may help to elucidate the carcinogenesis process.

Key Words: Gastric cancer, 14-3-3 epsilon, YWHAE, Gene expression, Protein expression



INTRODUCTION

Although gastric cancer (GC) rates have decreased substantially in most parts of the world, it is still the fourth most frequent cancer type and the second highest cause of cancer mortality worldwide. A total of 989 600 new stomach cancer cases and 738 000 deaths are estimated to have occurred in 2008, accounting for 8% of the total cases and 10% of total deaths by cancer[1].

About 90% of stomach tumors are adenocarcinomas[2]. However, the etiology and disease evolution may vary among populations, primary tumor location, histological subtypes of adenocarcinoma, and other variables[3].

GC, as with other neoplasms, is a multifactorial disease that results from a combination of environmental factors and accumulation of generalized and specific genetic and epigenetic alterations. Chromosomal instability is characterized by changes in chromosome copy number (aneuploidy) and alterations in chromosomal regions, which may induce oncogene activation, tumor suppressor gene inactivation, or both[4]. The chromosomal aberrations that are constantly found in GC include gains of 3q, 7p, 7q, 8q, 13q, 17q, 20p and 20q and losses of 4q, 9p, 17p and 18q (for a review, see[5]). Our research group previously reported that the loss of one copy of TP53 locus (17p13) is commonly found in gastric tumors of individuals from a Brazilian population[6], as well as in GC cell lines[7-9]. Although TP53 is a key tumor suppressor gene in the carcinogenesis process[10], additional genes at 17p13 may play a role in gastric carcinogenesis.

The YWHAE gene is located at 17p13.3 and encodes the 14-3-3ε protein, one of the mammalian 14-3-3 protein family members that are highly conserved in eukaryotes. There are at least seven distinct 14-3-3 genes in vertebrates, giving rise to nine isoforms (α, β, γ, δ, ε, ζ, η, σ and τ/υ, with α and δ being phosphorylated forms of β and ζ, respectively)[11,12]. The 14-3-3 proteins are predominantly dimeric within the cell and bind either to multiple sites within single proteins or act as a bridge between two targets[13-15]. Up to now, > 300 proteins have been reported to interact with 14-3-3 proteins, including key signaling components, such as p53, Raf-1 kinase, Bcl-2 antagonist of cell death, protein kinase C, phophatidylinositol 3-kinase, and cdc25 phosphatase (RASGRF1)[12,13,15,16]. Although the exact 14-3-3 protein functions are not fully known, these proteins may act as a molecular scaffold, bringing together proteins that interact functionally and effecting phosphorylation-dependent cell regulation[12]. This protein family is involved in several biological processes and plays a regulatory role in processes such as apoptotic cell death, mitogenic signal transduction, and cell cycle control[13,17,18].

The isoform 14-3-3ε is the most highly conserved member of the 14-3-3 family, with conserved sequence in plants, yeast, and mammals[19,20]. Abnormal expression of 14-3-3ε has been found in some types of cancers. However, the role of 14-3-3ε in the carcinogenesis process is ambiguous and contradictory. Low expression of 14-3-3ε occurs in small cell lung cancer[21], laryngeal squamous cell carcinoma[22], and medulloblastoma[23], which suggest its role as a tumor suppressor gene. On the other hand, high expression of 14-3-3ε has been detected in renal carcinoma[24], astrocytoma[25], meningioma[26] and subependymomas[27], and, thus, probably it acts as a oncogene.

To the best of our knowledge, no study has evaluated the role of 14-3-3ε in gastric carcinogenesis until now. In the present study, we analyzed the 14-3-3ε gene and protein expression in GC and matched non-neoplastic gastric samples. We also evaluated the possible associations between 14-3-3ε and clinicopathological characteristics.

MATERIALS AND METHODS
Tissue samples

14-3-3ε protein expression was evaluated in 20 pairs of GC samples and corresponding non-neoplastic gastric tissues (distant location of primary tumor). The mRNA expression was evaluated in 31 pairs of GC samples and corresponding non-neoplastic gastric tissues. Dissected tumor and paired non-neoplastic tissue specimens were immediately cut from stomach samples, frozen in liquid nitrogen, and stored at -80 °C until use for protein and RNA extraction. All the gastric samples were obtained surgically from João de Barros Barreto University Hospital (HUJBB) in Pará State, Northern Brazil. Informed consent with approval of the ethics committee of HUJBB was obtained. All patients had negative histories of exposure to either chemotherapy or radiotherapy before surgery and there was no other co-occurrence of diagnosed cancers. All samples were classified according to Laurén[28] and tumors were staged using standard criteria by TNM staging[29].

Protein and mRNA purification

Total protein and total mRNA were simultaneously isolated from gastric tissue samples using the AllPrep DNA/RNA/Protein Kit (Qiagen, Hilden, Germany) according to the manufacturer’s instructions. To allow greatest solubilization, the protein pellet was dissolved in buffer containing 7 mol urea, 2 mol thiourea, 4% CHAPS, 50 mmol dithiothreitol, 1% Protease Inhibitor Cocktail (Sigma, St Louis, MO, United States), and 0.5% of each Phosphatase Inhibitor Cocktail 1 and 2 (Sigma-Aldrich, St Louis, MO, United States). Protein concentration was determined by the method of Bradford (Sigma-Aldrich). RNA concentration and quality were determined using a NanoDrop spectrophotometer (Kisker, Germany) and 1% agarose gels. Samples were stored at -80 °C until use.

14-3-3ε expression by western blotting

Reduced protein (30 μg) of each sample was separated on 12.5% homogeneous SDS-PAGE gel and electroblotted to a polyvinylidene fluoride (PVDF) membrane (Hybond-P; GE Healthcare, Uppsala, Sweden). The PVDF membrane was blocked with PBS containing 0.1% Tween 20, 5% low-fat milk, and incubated overnight at 4 °C with corresponding primary antibodies to anti-14-3-3ε (sc-31962, 1:100; Santa Cruz Biotechnology, Santa Cruz, CA, United States) and anti-β-actin (Ac-74, 1:3000; Sigma-Aldrich). After extensive washing, a peroxidase-conjugated secondary antibody was incubated for 1 h at room temperature. Immunoreactive bands were visualized using western blotting Luminol reagent and the images were acquired using an ImageQuant 350 digital image system (GE Healthcare, Uppsala, Sweden). The β-actin was used as a loading reference control.

14-3-3ε mRNA expression by real-time quantitative RT-PCR

First, cDNA was synthesized using High-Capacity cDNA Archive kit (Applied Biosystems, Warsaw, Poland) according to the manufacturer’s protocol. All real-time qRT-PCR reactions were performed in triplicate for both target gene (YWHAE: Hs00356749_g1, Applied Biosystems, United States) and internal controls (β-actin: Hs03023943_g1; glyceraldehyde-3-phosphate dehydrogenase: Hs99999905_m1; Applied Biosystems, United States). To compare 14-3-3ε mRNA expression between GC and non-neoplastic gastric samples, we converted ΔCt (ΔCt = Ct of YWHAE - Ct of internal controls) to linear form (2-ΔCt). Relative quantification of the gene expression was calculated according to Pfaffl method[30]. Non-neoplastic gastric samples were designated as a calibrator of each paired tumor sample.

Statistical analysis

We first evaluated the normal distribution of all data using the Shapiro-Wilk normality test to determine subsequent use of appropriate tests for statistical comparison. Since 14-3-3ε mRNA and protein data did not present with a normal distribution, we performed parametric tests with bootstrapping, a re-sampling method. The re-sampling methods are relatively powerful and can control a type I error (false positive), reducing over-fit bias and internally validating the accuracy estimates. Bootstrapping methods also produce confidence intervals (CIs) around the observed effects. Paired t test was performed to compare the mean of 14-3-3ε expression between neoplastic and matched non-neoplastic samples. The associations between clinicopathological parameters and the mean of 14-3-3ε expression were assessed using a t test for independent samples. The correlation among the 14-3-3ε mRNA and protein expression was analyzed by Pearson test. All the analyses performed in this article were based on 1000 bootstrap samples. In all analyses, the CI was 95% and P < 0.05 was considered significant.

RESULTS

14-3-3ε protein expression was significantly reduced in GC samples (densitometry units: 0.656 ± 0.552) compared to matched non-neoplastic gastric samples (1.656 ± 1.158) (P = 0.005, 95% CI: -1.59 to -0.53). 14-3-3ε protein was 1.5-fold lower in 60% of GC samples compared to their paired non-neoplastic gastric tissues. However, 14-3-3ε mRNA expression did not differ between GC (2-Δct: 0.492 ± 0.325) and corresponding non-neoplastic gastric tissue (0.579 ± 0.272) (P = 0.075, 95% CI: -0.18 to 0.003) (Figure 1).

Figure 1
Figure 1 Expression of 14-3-3ε in tumor and non-neoplastic gastric tissue. A: Protein expression normalized by β-actin (ACTB); B: Ratio of protein expression between tumor and matched non-neoplastic gastric tissues; C: Western blotting using anti-14-3-3ε and anti-β-actin antibodies; D: mRNA expression normalized by the internal controls ACTB and glyceraldehyde-3-phosphate dehydrogenase; E: Relative mRNA quantification-gastric tumor samples normalized by matched non-neoplastic gastric tissues. T: Tumor samples; N: Non-neoplastic samples.

Although mRNA and protein were simultaneously purified, no correlation was observed between 14-3-3ε mRNA and protein expression (R = 0.236, P = 0.345).

The associations between clinicopathological characteristics and 14-3-3ε expression are summarized in Table 1. A significant decrease in 14-3-3ε mRNA level was observed in early-onset GC (at age ≤ 45 years[31]) compared to late-onset GC (P = 0.028, 95% CI: -1.49 to -0.25). Moreover, a tendency towards 14-3-3ε protein down-expression was also observed in early-onset compared to late-onset GC (P = 0.052, 95% CI: -0.69 to -0.05).

Table 1 Clinicopathological characteristics and 14-3-3ε expression in gastric cancer samples (mean ± SD).
Variable14-3-3ε protein expression
14-3-3ε mRNA expression
TotalRatio T/NAdjusted P-value95% CITotalRelative quantificationAdjusted P-value95% CI
Gender
Male100.418 ± 0.410.210-0.13 to 0.63181.404 ± 1.430.279-1.38 to 0.40
Female100.667 ± 0.47130.898 ± 1.09
Onset (yr)
< 4560.303 ± 0.260.052-0.68 to -0.0580.583 ± 0.310.028a-1.49 to -0.25
≥ 45140.646 ± 0.48231.403 ± 1.45
Tumor location
Cardia30.293 ± 0.110.0670.03 to 0.5640.796 ± 0.350.177-0.12 to 1.23
Non-cardia170.587 ± 0.47271.250 ± 1.39
Laurén classification
Diffuse-type40.244 ± 0.140.024a0.12 to 0.65131.119 ± 1.040.785-0.69 to 1.07
Intestinal-type160.618 ± 0.46181.245 ± 1.49
Stage
Early40.517 ± 0.640.921-0.55 to 0.8140.549 ± 0.380.046a-1.41 to -0.16
Advanced160.549 ± 0.41271.287 ± 1.37
Tumor invasion
T1/T280.491 ± 0.490.674-0.48 to 0.3490.642 ± 0.330.052-1.40 to -0.13
T3/T4120.578 ± 0.43221.417 ± 1.49
Lymph node metastasis
Absent60.672 ± 0.570.510-0.29 to 0.7280.687 ± 0.530.069-1.31 to -0.01
Present140.488 ± 0.39231.367 ± 1.45
Distant metastasis
Unknown/absent160.557 ± 0.470.754-0.42 to 0.47230.978 ± 0.990.242-2.25 to 0.51
Present40.486 ± 0.3781.807 ± 1.89

The 14-3-3ε mRNA level was reduced in early GC compared to advanced GC (P = 0.046, 95% CI: -1.41 to -0.16) and tended to present reduced levels with less invasive tumors (P = 0.052, 95% CI: -1.40 to -0.13). In contrast, these observations were not observed for protein level.

Concerning the 14-3-3ε protein, we observed that the diffuse-type GC presented reduced expression compared to intestinal-type GC (P = 0.024, 95% CI: 0.12-0.65). However, a significant difference was observed between non-neoplastic gastric tissues and intestinal-type GC (P = 0.045, 95% CI: -1.55 to -0.29) and diffuse-type GC (P = 0.024, 95% CI: -2.22 to -1.14).

DISCUSSION

Cancer cells have defects in regulatory circuits that govern normal cell proliferation and homeostasis[32]. The 14-3-3 proteins continue to generate intense interest due to their roles in signal transduction pathways that control cell cycle checkpoints, mitogen-activate protein kinase activation, apoptosis, and regulation of gene expression. 14-3-3 stabilizes non-native conformations of bound ligands to promote their interactions with downstream targets, or facilitates their subsequent modification by kinases and phosphatases[18].

In the present study, we evaluated the 14-3-3ε mRNA and protein expression in gastric carcinogenesis. To the best of our knowledge, no study has evaluated 14-3-3ε expression in this neoplasm. Here, we observed that 14-3-3ε protein expression was reduced in GC samples compared to matched non-neoplastic gastric tissue. Low expression of 14-3-3ε has also been reported in small cell lung cancer[21], laryngeal squamous cell carcinoma[22], and medulloblastoma[23], suggesting a tumor suppressor function. The reduced 14-3-3ε expression may be in part due to the loss of its locus (17p13), which is a common finding in gastric tumors of individuals from the studied population[6].

Little is known about the role of 14-3-3ε in carcinogenesis. One of the major partners of 14-3-3ε is the CDC25 protein. CDC25 protein is virtually inactive during interphase, but undergoes a strong activation at mitosis due to phosphorylation of its N-terminal regulatory domain[33]. 14-3-3ε acts as a negative regulator of CDC25[33,34]. The overexpression of CDC25 proteins has previously been described in GC[35-37]. Thus, the reduced expression of 14-3-3ε in GC cells may enhance the ability of CDC25 to induce mitosis, contributing to the gastric carcinogenesis process.

Several classification systems have been described for GC. According to the Laurén classification, one of the most used, gastric adenocarcinoma is classified mainly into intestinal and diffuse types[28]. Intestinal-type GC progresses through a number of sequential steps, beginning with atrophic gastritis followed by intestinal metaplasia, intraepithelial neoplasia, and carcinoma[38]. In contrast, diffuse-type GC generally does not evolve from precancerous lesions[39,40]. In the present study, we observed that the expression of 14-3-3ε protein was lower in diffuse-type than in intestinal-type GC, confirming that these two histological GC subtypes follow different genetic pathways and may be two distinct entities[39].

MYC deregulation is a frequent finding in GC[41]. Moreover, MYC immunoreactivity seems to be more frequently detected in intestinal-type than diffuse-type GC[42,43]. Gene amplification is the main mechanism of MYC deregulation in GC[41], and we have previously described a higher frequency of MYC locus amplification in intestinal-type than diffuse-type GC[44,45]. Interestingly, one of the MYC target proteins is CDC25, which is negatively regulated by 14-3-3ε. A correlation between MYC and CDC25 has previously been reported in GC[46]. Here, we hypothesize that the relative increase of 14-3-3ε in the subset of tumors of the intestinal-type may be a compensatory mechanism to control the increase of cell proliferation due to MYC and CDC25 action. Moreover, MYC overexpression also induces the production of reactive oxygen species, which may lead to double-stranded DNA breaks and point mutations resulting in genomic instability[47]. Thus, the relative increase in 14-3-3ε in the intestinal-type GC may be also a compensatory response to other oncogenic mutations accumulated in cancer cells, which lead to genomic instability and initiate a DNA damage check-point in cells that contain some functional p53 alleles, as already proposed for other 14-3-3 isoforms[18].

Here, we also described a decrease in 14-3-3ε expression in early-onset compared to late-onset GC. Early-onset GC is observed in < 10% of GC patients, and only 10% of these patients have a positive family history[31]. Most young patients present at an advanced clinical stage similar to elderly patients, so the prognosis in both age groups is poor. However, early-onset GC shows different clinicopathological and molecular profiles compared to late-onset GC, suggesting that they represent a separate entity within gastric carcinogenesis, with genetic factors probably presenting a more important role in early-onset GC patients[48-50]. 14-3-3ε deregulation may have a direct or indirect function in early-onset GC because this protein interacts with several others.

In addition, no correlation was observed between 14-3-3ε mRNA and protein expression, corroborating a previous study of laryngeal squamous cell carcinoma[22]. The lack of correlation between 14-3-3ε protein and mRNA expression patterns indicates the post-translational regulation mechanism involved in this protein expression, and highlights the complexity of the relationship between protein and mRNA expression.

In conclusion, our data suggest that, for the first time, reduced 14-3-3ε may have a role in gastric carcinogenesis, mainly in diffuse-type and early-onset GC. Moreover, further investigations are necessary to understand which proteins interact with 14-3-3ε in these subtypes of GC.

COMMENTS
Background

Gastric cancer (GC) is the fourth most frequent cancer type and the second highest cause of cancer mortality worldwide. Although this neoplasm is a serious public health problem due to its high incidence and mortality, little is known about the molecular events involved in gastric carcinogenesis.

Research frontiers

GC, as with other neoplasms, is a multifactorial disease that results from a combination of environmental factors and the accumulation of generalized and specific genetic and epigenetic alterations. The 14-3-3 protein family has been recently associated with carcinogenesis, but not in the stomach. In this study, the authors evaluated mRNA and protein expression of 14-3-3ε in gastric neoplasms and corresponding non-neoplastic samples.

Innovations and breakthroughs

No previous study has evaluated the gene and protein expression of 14-3-3ε in gastric carcinogenesis. This study demonstrates that 14-3-3ε has a role in gastric carcinogenesis, especially in diffuse-type and early-onset GC.

Applications

14-3-3ε may have a role in gastric carcinogenesis as a tumor suppressor protein.

Terminology

The YWHAE gene is located at 17p13.3, a region frequently deleted in gastric neoplasms. This gene encodes the 14-3-3ε protein, one of the mammalian 14-3-3 protein family members that are highly conserved in eukaryotes. This protein family is involved in several biological processes and plays a regulatory role in processes such as apoptotic cell death, mitogenic signal transduction, and cell cycle control.

Peer review

The results report for the first time the expression of 14-3-3ε in GC, both at the protein and mRNA level, and the data obtained reveal reduced 14-3-3ε protein expression in GC. The data contribute to the biology of GC with possible future clinical implications to be tested in a subsequent study in a larger number of GC patients.

Footnotes

Peer reviewer: Giuseppina De Petro, Full Professor of Applied Biology, Department of Biomedical Sciences and Biotechnology, University of Brescia, Viale Europa n.11, Brescia 25123, Italy

S- Editor Gou SX L- Editor Kerr C E- Editor Zheng XM

References
1.  Jemal A, Bray F, Center MM, Ferlay J, Ward E, Forman D. Global cancer statistics. CA Cancer J Clin. 2011;61:69-90.  [PubMed]  [DOI]  [Cited in This Article: ]  [Cited by in Crossref: 23762]  [Cited by in F6Publishing: 25175]  [Article Influence: 1936.5]  [Reference Citation Analysis (3)]
2.  Crew KD, Neugut AI. Epidemiology of gastric cancer. World J Gastroenterol. 2006;12:354-362.  [PubMed]  [DOI]  [Cited in This Article: ]
3.  Shah MA, Ajani JA. Gastric cancer--an enigmatic and heterogeneous disease. JAMA. 2010;303:1753-1754.  [PubMed]  [DOI]  [Cited in This Article: ]  [Cited by in Crossref: 77]  [Cited by in F6Publishing: 88]  [Article Influence: 6.3]  [Reference Citation Analysis (0)]
4.  Ottini L, Falchetti M, Lupi R, Rizzolo P, Agnese V, Colucci G, Bazan V, Russo A. Patterns of genomic instability in gastric cancer: clinical implications and perspectives. Ann Oncol. 2006;17 Suppl 7:vii97-vi102.  [PubMed]  [DOI]  [Cited in This Article: ]  [Cited by in Crossref: 105]  [Cited by in F6Publishing: 120]  [Article Influence: 7.5]  [Reference Citation Analysis (0)]
5.  Panani AD. Cytogenetic and molecular aspects of gastric cancer: clinical implications. Cancer Lett. 2008;266:99-115.  [PubMed]  [DOI]  [Cited in This Article: ]  [Cited by in Crossref: 86]  [Cited by in F6Publishing: 95]  [Article Influence: 5.9]  [Reference Citation Analysis (0)]
6.  Khayat AS, Guimarães AC, Calcagno DQ, Seabra AD, Lima EM, Leal MF, Faria MH, Rabenhorst SH, Assumpção PP, Demachki S. Interrelationship between TP53 gene deletion, protein expression and chromosome 17 aneusomy in gastric adenocarcinoma. BMC Gastroenterol. 2009;9:55.  [PubMed]  [DOI]  [Cited in This Article: ]  [Cited by in Crossref: 16]  [Cited by in F6Publishing: 18]  [Article Influence: 1.2]  [Reference Citation Analysis (0)]
7.  Leal MF, Martins do Nascimento JL, da Silva CE, Vita Lamarão MF, Calcagno DQ, Khayat AS, Assumpção PP, Cabral IR, de Arruda Cardoso Smith M, Burbano RR. Establishment and conventional cytogenetic characterization of three gastric cancer cell lines. Cancer Genet Cytogenet. 2009;195:85-91.  [PubMed]  [DOI]  [Cited in This Article: ]  [Cited by in Crossref: 49]  [Cited by in F6Publishing: 51]  [Article Influence: 3.4]  [Reference Citation Analysis (0)]
8.  Ribeiro HF, Alcântara DF, Matos LA, Sousa JM, Leal MF, Smith MA, Burbano RR, Bahia MO. Cytogenetic characterization and evaluation of c-MYC gene amplification in PG100, a new Brazilian gastric cancer cell line. Braz J Med Biol Res. 2010;43:717-721.  [PubMed]  [DOI]  [Cited in This Article: ]  [Cited by in Crossref: 18]  [Cited by in F6Publishing: 19]  [Article Influence: 1.4]  [Reference Citation Analysis (0)]
9.  Leal MF, Calcagno DQ, Borges da Costa Jde F, Silva TC, Khayat AS, Chen ES, Assumpção PP, de Arruda Cardoso Smith M, Burbano RR. MYC, TP53, and chromosome 17 copy-number alterations in multiple gastric cancer cell lines and in their parental primary tumors. J Biomed Biotechnol. 2011;2011:631268.  [PubMed]  [DOI]  [Cited in This Article: ]  [Cited by in Crossref: 22]  [Cited by in F6Publishing: 34]  [Article Influence: 2.6]  [Reference Citation Analysis (0)]
10.  Szymańska K, Hainaut P. TP53 and mutations in human cancer. Acta Biochim Pol. 2003;50:231-238.  [PubMed]  [DOI]  [Cited in This Article: ]
11.  Aitken A. 14-3-3 proteins: a historic overview. Semin Cancer Biol. 2006;16:162-172.  [PubMed]  [DOI]  [Cited in This Article: ]  [Cited by in Crossref: 573]  [Cited by in F6Publishing: 618]  [Article Influence: 34.3]  [Reference Citation Analysis (0)]
12.  Fu H, Subramanian RR, Masters SC. 14-3-3 proteins: structure, function, and regulation. Annu Rev Pharmacol Toxicol. 2000;40:617-647.  [PubMed]  [DOI]  [Cited in This Article: ]  [Cited by in Crossref: 1195]  [Cited by in F6Publishing: 1173]  [Article Influence: 48.9]  [Reference Citation Analysis (0)]
13.  van Hemert MJ, Steensma HY, van Heusden GP. 14-3-3 proteins: key regulators of cell division, signalling and apoptosis. Bioessays. 2001;23:936-946.  [PubMed]  [DOI]  [Cited in This Article: ]  [Cited by in Crossref: 419]  [Cited by in F6Publishing: 417]  [Article Influence: 18.1]  [Reference Citation Analysis (0)]
14.  Pozuelo Rubio M, Geraghty KM, Wong BH, Wood NT, Campbell DG, Morrice N, Mackintosh C. 14-3-3-affinity purification of over 200 human phosphoproteins reveals new links to regulation of cellular metabolism, proliferation and trafficking. Biochem J. 2004;379:395-408.  [PubMed]  [DOI]  [Cited in This Article: ]  [Cited by in Crossref: 360]  [Cited by in F6Publishing: 362]  [Article Influence: 18.1]  [Reference Citation Analysis (0)]
15.  Satoh J, Nanri Y, Yamamura T. Rapid identification of 14-3-3-binding proteins by protein microarray analysis. J Neurosci Methods. 2006;152:278-288.  [PubMed]  [DOI]  [Cited in This Article: ]  [Cited by in Crossref: 41]  [Cited by in F6Publishing: 45]  [Article Influence: 2.4]  [Reference Citation Analysis (0)]
16.  Rajagopalan S, Sade RS, Townsley FM, Fersht AR. Mechanistic differences in the transcriptional activation of p53 by 14-3-3 isoforms. Nucleic Acids Res. 2010;38:893-906.  [PubMed]  [DOI]  [Cited in This Article: ]  [Cited by in Crossref: 46]  [Cited by in F6Publishing: 50]  [Article Influence: 3.3]  [Reference Citation Analysis (0)]
17.  Tzivion G, Avruch J. 14-3-3 proteins: active cofactors in cellular regulation by serine/threonine phosphorylation. J Biol Chem. 2002;277:3061-3064.  [PubMed]  [DOI]  [Cited in This Article: ]  [Cited by in Crossref: 369]  [Cited by in F6Publishing: 378]  [Article Influence: 17.2]  [Reference Citation Analysis (0)]
18.  Yaffe MB. How do 14-3-3 proteins work?-- Gatekeeper phosphorylation and the molecular anvil hypothesis. FEBS Lett. 2002;513:53-57.  [PubMed]  [DOI]  [Cited in This Article: ]  [Cited by in Crossref: 525]  [Cited by in F6Publishing: 540]  [Article Influence: 24.5]  [Reference Citation Analysis (0)]
19.  Aitken A. Functional specificity in 14-3-3 isoform interactions through dimer formation and phosphorylation. Chromosome location of mammalian isoforms and variants. Plant Mol Biol. 2002;50:993-1010.  [PubMed]  [DOI]  [Cited in This Article: ]
20.  Jones DH, Ley S, Aitken A. Isoforms of 14-3-3 protein can form homo- and heterodimers in vivo and in vitro: implications for function as adapter proteins. FEBS Lett. 1995;368:55-58.  [PubMed]  [DOI]  [Cited in This Article: ]  [Cited by in Crossref: 182]  [Cited by in F6Publishing: 188]  [Article Influence: 6.5]  [Reference Citation Analysis (0)]
21.  Konishi H, Nakagawa T, Harano T, Mizuno K, Saito H, Masuda A, Matsuda H, Osada H, Takahashi T. Identification of frequent G(2) checkpoint impairment and a homozygous deletion of 14-3-3epsilon at 17p13.3 in small cell lung cancers. Cancer Res. 2002;62:271-276.  [PubMed]  [DOI]  [Cited in This Article: ]
22.  Che XH, Chen H, Xu ZM, Shang C, Sun KL, Fu WN. 14-3-3epsilon contributes to tumour suppression in laryngeal carcinoma by affecting apoptosis and invasion. BMC Cancer. 2010;10:306.  [PubMed]  [DOI]  [Cited in This Article: ]  [Cited by in Crossref: 27]  [Cited by in F6Publishing: 31]  [Article Influence: 2.2]  [Reference Citation Analysis (0)]
23.  Cvekl A, Zavadil J, Birshtein BK, Grotzer MA, Cvekl A. Analysis of transcripts from 17p13.3 in medulloblastoma suggests ROX/MNT as a potential tumour suppressor gene. Eur J Cancer. 2004;40:2525-2532.  [PubMed]  [DOI]  [Cited in This Article: ]  [Cited by in Crossref: 27]  [Cited by in F6Publishing: 28]  [Article Influence: 1.4]  [Reference Citation Analysis (0)]
24.  Liang S, Xu Y, Shen G, Liu Q, Zhao X, Xu Z, Xie X, Gong F, Li R, Wei Y. Quantitative protein expression profiling of 14-3-3 isoforms in human renal carcinoma shows 14-3-3 epsilon is involved in limitedly increasing renal cell proliferation. Electrophoresis. 2009;30:4152-4162.  [PubMed]  [DOI]  [Cited in This Article: ]  [Cited by in Crossref: 39]  [Cited by in F6Publishing: 43]  [Article Influence: 3.1]  [Reference Citation Analysis (0)]
25.  Cao L, Cao W, Zhang W, Lin H, Yang X, Zhen H, Cheng J, Dong W, Huo J, Zhang X. Identification of 14-3-3 protein isoforms in human astrocytoma by immunohistochemistry. Neurosci Lett. 2008;432:94-99.  [PubMed]  [DOI]  [Cited in This Article: ]  [Cited by in Crossref: 26]  [Cited by in F6Publishing: 29]  [Article Influence: 1.7]  [Reference Citation Analysis (0)]
26.  Liu Y, Tian RF, Li YM, Liu WP, Cao L, Yang XL, Cao WD, Zhang X. The expression of seven 14-3-3 isoforms in human meningioma. Brain Res. 2010;1336:98-102.  [PubMed]  [DOI]  [Cited in This Article: ]  [Cited by in Crossref: 27]  [Cited by in F6Publishing: 28]  [Article Influence: 2.0]  [Reference Citation Analysis (0)]
27.  Lukashova-v Zangen I, Kneitz S, Monoranu CM, Rutkowski S, Hinkes B, Vince GH, Huang B, Roggendorf W. Ependymoma gene expression profiles associated with histological subtype, proliferation, and patient survival. Acta Neuropathol. 2007;113:325-337.  [PubMed]  [DOI]  [Cited in This Article: ]  [Cited by in Crossref: 76]  [Cited by in F6Publishing: 82]  [Article Influence: 4.8]  [Reference Citation Analysis (0)]
28.  Lauren P. The two histological main types of gastric carcinoma: diffuse and so-called intestinal-type carcinoma. an attempt at a histo-clinical classification. Acta Pathol Microbiol Scand. 1965;64:31-49.  [PubMed]  [DOI]  [Cited in This Article: ]
29.  Sobin LH, Wittekind CH.  TNM classification of malignant tumours. 6th ed. New York: Wiley-Liss 2002; .  [PubMed]  [DOI]  [Cited in This Article: ]
30.  Pfaffl MW. A new mathematical model for relative quantification in real-time RT-PCR. Nucleic Acids Res. 2001;29:e45.  [PubMed]  [DOI]  [Cited in This Article: ]
31.  Kokkola A, Sipponen P. Gastric carcinoma in young adults. Hepatogastroenterology. 2001;48:1552-1555.  [PubMed]  [DOI]  [Cited in This Article: ]
32.  Hanahan D, Weinberg RA. The hallmarks of cancer. Cell. 2000;100:57-70.  [PubMed]  [DOI]  [Cited in This Article: ]  [Cited by in Crossref: 19834]  [Cited by in F6Publishing: 18703]  [Article Influence: 779.3]  [Reference Citation Analysis (0)]
33.  Kumagai A, Yakowec PS, Dunphy WG. 14-3-3 proteins act as negative regulators of the mitotic inducer Cdc25 in Xenopus egg extracts. Mol Biol Cell. 1998;9:345-354.  [PubMed]  [DOI]  [Cited in This Article: ]
34.  Kumagai A, Dunphy WG. Binding of 14-3-3 proteins and nuclear export control the intracellular localization of the mitotic inducer Cdc25. Genes Dev. 1999;13:1067-1072.  [PubMed]  [DOI]  [Cited in This Article: ]
35.  Kudo Y, Yasui W, Ue T, Yamamoto S, Yokozaki H, Nikai H, Tahara E. Overexpression of cyclin-dependent kinase-activating CDC25B phosphatase in human gastric carcinomas. Jpn J Cancer Res. 1997;88:947-952.  [PubMed]  [DOI]  [Cited in This Article: ]
36.  Zhang XM, Yao GY, Zhang BY, Wang LL, Zhao M. [Study on the expression and significance of Galectin-3 and CDC25B mRNA in human gastric carcinoma]. Zhonghua Yixue Yichuanxue Zazhi. 2009;26:288-292.  [PubMed]  [DOI]  [Cited in This Article: ]
37.  Takahashi H, Murai Y, Tsuneyama K, Nomoto K, Okada E, Fujita H, Takano Y. High labeling indices of cdc25B is linked to progression of gastric cancers and associated with a poor prognosis. Appl Immunohistochem Mol Morphol. 2007;15:267-272.  [PubMed]  [DOI]  [Cited in This Article: ]  [Cited by in Crossref: 5]  [Cited by in F6Publishing: 7]  [Article Influence: 0.4]  [Reference Citation Analysis (0)]
38.  Correa P. Human gastric carcinogenesis: a multistep and multifactorial process--First American Cancer Society Award Lecture on Cancer Epidemiology and Prevention. Cancer Res. 1992;52:6735-6740.  [PubMed]  [DOI]  [Cited in This Article: ]
39.  Tahara E. Genetic pathways of two types of gastric cancer. IARC Sci Publ. 2004;327-349.  [PubMed]  [DOI]  [Cited in This Article: ]
40.  Smith MG, Hold GL, Tahara E, El-Omar EM. Cellular and molecular aspects of gastric cancer. World J Gastroenterol. 2006;12:2979-2990.  [PubMed]  [DOI]  [Cited in This Article: ]
41.  Calcagno DQ, Leal MF, Assumpcao PP, Smith MA, Burbano RR. MYC and gastric adenocarcinoma carcinogenesis. World J Gastroenterol. 2008;14:5962-5968.  [PubMed]  [DOI]  [Cited in This Article: ]  [Cited by in CrossRef: 80]  [Cited by in F6Publishing: 81]  [Article Influence: 5.1]  [Reference Citation Analysis (0)]
42.  Kozma L, Kiss I, Hajdú J, Szentkereszty Z, Szakáll S, Ember I. C-myc amplification and cluster analysis in human gastric carcinoma. Anticancer Res. 2001;21:707-710.  [PubMed]  [DOI]  [Cited in This Article: ]
43.  Yang GF, Deng CS, Xiong YY, Gong LL, Wang BC, Luo J. Expression of nuclear factor-kappa B and target genes in gastric precancerous lesions and adenocarcinoma: association with Helicobactor pylori cagA (+) infection. World J Gastroenterol. 2004;10:491-496.  [PubMed]  [DOI]  [Cited in This Article: ]
44.  Burbano RR, Assumpção PP, Leal MF, Calcagno DQ, Guimarães AC, Khayat AS, Takeno SS, Chen ES, De Arruda Cardoso Smith M. C-MYC locus amplification as metastasis predictor in intestinal-type gastric adenocarcinomas: CGH study in Brazil. Anticancer Res. 2006;26:2909-2914.  [PubMed]  [DOI]  [Cited in This Article: ]
45.  Calcagno DQ, Leal MF, Taken SS, Assumpção PP, Demachki S, Smith Mde A, Burbano RR. Aneuploidy of chromosome 8 and C-MYC amplification in individuals from northern Brazil with gastric adenocarcinoma. Anticancer Res. 2005;25:4069-4074.  [PubMed]  [DOI]  [Cited in This Article: ]
46.  Xing X, Chen J, Chen M. Expression of CDC25 phosphatases in human gastric cancer. Dig Dis Sci. 2008;53:949-953.  [PubMed]  [DOI]  [Cited in This Article: ]  [Cited by in Crossref: 16]  [Cited by in F6Publishing: 18]  [Article Influence: 1.1]  [Reference Citation Analysis (0)]
47.  Prochownik EV, Li Y. The ever expanding role for c-Myc in promoting genomic instability. Cell Cycle. 2007;6:1024-1029.  [PubMed]  [DOI]  [Cited in This Article: ]  [Cited by in Crossref: 42]  [Cited by in F6Publishing: 49]  [Article Influence: 2.9]  [Reference Citation Analysis (0)]
48.  Carvalho R, Milne AN, van Rees BP, Caspers E, Cirnes L, Figueiredo C, Offerhaus GJ, Weterman MA. Early-onset gastric carcinomas display molecular characteristics distinct from gastric carcinomas occurring at a later age. J Pathol. 2004;204:75-83.  [PubMed]  [DOI]  [Cited in This Article: ]  [Cited by in Crossref: 36]  [Cited by in F6Publishing: 45]  [Article Influence: 2.3]  [Reference Citation Analysis (0)]
49.  Milne AN, Carvalho R, Morsink FM, Musler AR, de Leng WW, Ristimäki A, Offerhaus GJ. Early-onset gastric cancers have a different molecular expression profile than conventional gastric cancers. Mod Pathol. 2006;19:564-572.  [PubMed]  [DOI]  [Cited in This Article: ]  [Cited by in Crossref: 67]  [Cited by in F6Publishing: 73]  [Article Influence: 4.1]  [Reference Citation Analysis (0)]
50.  Milne AN, Sitarz R, Carvalho R, Carneiro F, Offerhaus GJ. Early onset gastric cancer: on the road to unraveling gastric carcinogenesis. Curr Mol Med. 2007;7:15-28.  [PubMed]  [DOI]  [Cited in This Article: ]