Allograft inflammatory factor-1 is an independent prognostic indicator that regulates β-catenin in gastric cancer

  • Authors:
    • Yang Ye
    • Shuhan Miao
    • Rongzhu Lu
    • Xiaowei Xia
    • Yansu Chen
    • Jianbing Zhang
    • Xuming Wu
    • Song He
    • Fulin Qiang
    • Jianwei Zhou
  • View Affiliations

  • Published online on: December 12, 2013
  • Pages:828-834
Metrics: HTML 0 views | PDF 0 views     Cited By (CrossRef): 0 citations


Previous studies have revealed that expression of allograft inflammatory factor-1 (AIF-1) protein appears to be increased in malignancies and is correlated with a poorer prognosis in cervical cancer, while its role in gastric cancer has not been reported. We analyzed the expression of AIF-1 in 78 cancer lesions and the corresponding non-cancerous tissues by immunohistochemistry. In contrast with other cancers, we found that AIF-1 protein levels were significantly decreased in 53 of the 78 (67.9%) gastric cancer tissues when compared with the matched normal tissues. This was further confirmed using 7 pairs of fresh gastric cancer tissues and matched adjacent normal tissues. Low tumoral AIF-1 expression was significantly correlated with less favorable clinicopathological characteristics, as well as with reduced overall survival (P<0.001) in the gastric cancer patients. Furthermore, knockdown of AIF-1 obviously increased proliferation, migration and β-catenin expression in BGC-823 and SGC-7901 gastric cancer cells. Taken together, for the first time, we provide evidence that the level of AIF-1 expression may serve as a protective prognostic indicator for gastric cancer.


Gastric cancer is second only to lung cancer as the leading cause of cancer-related deaths worldwide. Although the overall incidence of gastric cancer has declined, it remains high in Asian countries (1). The 5-year survival rate for patients with gastric cancer is only ~20%. The high mortality rates of patients with gastric cancer are known to be associated with metastatic spread of cancer cells from the stomach to common sites such as the liver and peritoneum (2). Metastasis is the result of several sequential steps including proliferation, invasion, detachment of tumor cells, migration into lymph nodes and blood vessels, adhesion and survival in the circulation, and extravasation into the target organ, where, again, proliferation occurs. These are also the key elements influencing clinical treatment and prognosis (3). Therefore, understanding of the molecular and genetic mechanisms involved in gastric cancer progression may provide us with novel biomarkers and highlight potential avenues of investigation for targeted therapies.

The allograft inflammatory factor-1 (AIF-1) is a 17-kDa interferon (IFN)-γ-inducible Ca2+-binding EF-hand protein that is encoded within the human leukocyte antigen (HLA) class III genomic region on chromosome 6p21.3, which is known for clusters of genes involved in the inflammatory response (4). AIF-1 is closely associated with cardiac allograft vasculopathy (5), rheumatoid arthritis (6), inflammatory skin disorders (7) and systemic sclerosis (8). It has been reported that AIF-1 may promote breast cancer proliferation through activation of the NF-κB/cyclin D1 pathway (9) and breast cancer cell migration by upregulation of TNF-α-mediated activation of the p38 MAPK signaling pathway (10). In addition, AIF-1 may play a significant role in the pathophysiology and progression of hemangiomas (11). However, it has not yet been reported whether AIF-1 is also involved in the development of gastric cancer.

In the present study, to elucidate the potential role of AIF-1 expression in gastric cancer, we evaluated AIF-1 staining in 78 primary gastric cancer biopsies and matched non-cancerous gastric tissues using tissue microarray (TMA) technology and immunohistochemistry. In addition, we investigated the effects of AIF-1 on the proliferation and migration of the gastric cancer cell lines BGC-823 and SGC-7901 in vitro.

Materials and methods

Patients and specimens

The study cohort included 103 patients who underwent radical gastrectomy at Nantong Cancer Hospital from May 1, 1990 to June 1, 1995. A TMA including whole gastric cancer samples and matched non-cancerous gastric mucosa was constructed. Due to missing data in processing, the cohort included 103 patients but 20 samples were omitted, and 5 samples were lost during antigen retrieval or without tumor cells in the core. Finally 78 paired tissues were evaluated for AIF-1 expression. Written informed consent was obtained from each patient prior to tissue acquisition. Institutional approval was acquired from the Ethics Review Board of Nanjing Medical University prior to the present study. Detailed clinicopathological information was obtained from the medical records of the hospital. The histological types of gastric cancer were classified according to Lauren (12) and staged according to the tumor-node-metastasis (TNM) guidelines (13). Only confirmed intestinal, diffuse and mixed types were included.

TMA construction and immunohistochemistry

The gastric cancer TMAs were constructed as previously described (14). Duplicate 1.0-mm diameter cores of tissue from each sample were punched from the paraffin tumor block and corresponding non-tumoral tissues in the cohort. As a tissue control, the biopsies of normal gastric epithelium tissues were inserted in the four angles and the center of each slide.

A standard protocol was used for the immunostaining of the TMAs, as described in our previous study (14). The polyclonal rabbit anti-AIF-1 antibody (1:200 dilution; Abgent Technology, San Diego, CA, USA) was used. The omission of the primary antibody served as the negative control. The staining scores of the tissue controls in each microarray slide were pre-evaluated as quality control for the immunostaining.

TMA slides were de-waxed at 55°C for 20 min followed by three 5-min washes with xylene. Rehydration of tissues was performed by 5-min washes in 100, 95 and 80% ethanol and distilled water, respectively. Antigen retrieval was performed by heating the samples at 95°C for 30 min in 10 mM sodium citrate (pH 6.0). Endogenous peroxidase activity of the tissue was blocked by incubation in 3% hydrogen peroxide for 30 min. After a 30-min blocking with Universal Blocking serum (Dako Diagnostics, Carpinteria, CA, USA), the sections were incubated with the anti-AIF-1 antibody at 4°C overnight. The sections were then incubated for 30 min each with a biotin-labeled secondary antibody and then streptavidin-peroxidase (Dako Diagnostics). The samples were developed using 3,3′-diaminobenzidine substrate and counterstained with hematoxylin. Dehydration was then performed following a standard procedure, and the slides were sealed with coverslips.

Evaluation of immunohistochemistry

By applying a semi-quantitative immunoreactivity score (IRS) in the cohort, staining of AIF-1 in the tissues was scored independently by 2 pathologists blinded to the clinical data, as reported elsewhere (15). Category A categorized the intensity of immunostaining as 0–3 (0, negative; 1, weak; 2, moderate and 3, strong). Category B categorized the percentage of immunoreactive cells as 1 (0–25%), 2 (26–50%), 3 (51–75%) and 4 (76–100%). Multiplication of category A and B resulted in an IRS ranging from 0 to 12 for each tumor or non-tumor sample.

The optimum cutoff value of IRS was obtained by receiver-operator characteristic (ROC) analysis. The area under the curve (AUC) at different cutoff values of AIF-1 IRS for overall survival (OS) at 1, 3 and 5 years was calculated. The optimum value of cutoff points for AIF-1 IRS was 3 since the predictive value of this cutoff point for death was optimal. Therefore, samples with IRS 0–3 and IRS 4–12 were classified as having low and high AIF-1 expression, respectively, in the tumors.

Cell culture

For the in vitro experiments, BGC-823 and SGC-7901 human gastric cancer cell lines were purchased from the Shanghai Institute of Biochemistry and Cell Biology, Chinese Academy of Sciences (Shanghai, China). Cells were cultured in Dulbecco’s modified Eagle’s medium (Gibco-BRL Life Technologies, Grand Island, NY, USA) supplemented with 100 U/ml penicillin, 100 μg/ml streptomycin and 10% fetal bovine serum (Tianhang Biological Technology, Hangzhou, China). All cells were maintained in a 5% CO2 atmosphere at 37°C.

siRNA and cell growth assay

Control siRNA or AIF-1 siRNA (both from Ruibo Biotechnology, Guangzhou, China) was transfected using Lipofectamine 2000 (Invitrogen Life Technologies) according to manufacturer’s instructions. For measurement of cell growth, a colorimetric water-soluble tetrazolium salt assay (Cell Counting Kit-8; Dojindo Laboratories, Kumamoto, Japan) was used to assess the number of viable cells at various time points following transfection.

Western blotting

Western blotting was carried out as previously described (14). Polyclonal rabbit anti-AIF-1 antibody (1:500 dilution; Abgent Technology, San Diego, CA, USA), monoclonal rabbit anti-β-catenin antibody (1:1,000 dilution; Epitomics, Burlingame, CA, USA), monoclonal mouse anti-tubulin antibody (1:2,000 dilution) and mouse anti-β-actin antibody (1:2,000 dilution) (both from Beyotime Biotechnology, Nantong, China) were used as the primary antibody. Immunoreactive bands were detected with a Phototope®-HRP Western Blot Detection kit (Cell Signaling Technology, Inc., Beverly, MA, USA). AIF-1 protein bands on the blots were measured by ImageJ software (version 1.44, National Institutes of Health, USA), after normalization to the corresponding tubulin level.

Transwell migration assay

Transwell migration assay was carried out in a 24-well modified 2-chamber plate (Corning, Tewksbury, MA, USA). The upper surface consisted of 6.5-mm diameter filters with 8-μm pore size. The transfectants (2×104 cells/well) were transferred into the upper chamber. After 12 h of incubation, the migrated cells on the lower surface of filters were fixed with 95% methanol and stained with crystal violet staining solution (Beyotime Biotechnology), and stained cell nuclei were counted in triplicate. We assessed the migration through the uncoated filters of test cells over that in the control counterparts.

Scratch migration assay

BGC-823 and SGC-7901 cells were transfected in a 6-well plate. Forty-eight hours post-transfection, the cells were scraped with the fine end of a 10-μl pipette tip (time 0). Plates were washed twice with PBS to remove detached cells, and incubated with the complete growth medium. Cell migration into the wounded empty space was determined after 24 h and photographed.

Statistical analysis

The association between AIF-1 expression and clinicopathological parameters was evaluated by Fisher’s exact test. The significance of correlations between AIF-1 staining in primary tumors and their corresponding non-tumor tissues was assessed by the Wilcoxon test (grouped) and Spearman’s rank-order correlation (raw scores). Probability of differences in OS as a function of time was ascertained by use of the Kaplan-Meier method, with a log-rank test probe for significance. All the statistical analyses were performed using Stata Statistical software (version 10.1; StataCorp, College Station, TX, USA). A difference with a P-value of <0.05 was deemed statistically significant.


AIF-1 expression is decreased in gastric cancer when compared to that in the non-cancerous tissues

To test AIF-1 protein expression, 7 pairs of human primary gastric cancer tissues and matched normal gastric mucosa were randomly selected for western blot analysis. As a result, all of the gastric cancer tissues exhibited a significant reduction in AIF-1 when compared with that in the paired normal tissues (Fig. 1A). Furthermore, immunohistochemical staining of the gastric cancer TMA was used to further confirm AIF-1 expression in 78 gastric cancer patients. Staining of AIF-1 was mainly localized in the cytoplasm (Fig. 1B). Regarding the distribution of the differences in IRS, AIF-1 expression was significantly decreased in 53 of the 78 (67.9%) gastric cancer tissues when compared with that in the matched normal tissues (P<0.001, Wilcoxon test; Fig. 1C). The above data showed that the AIF-1 protein was reduced in gastric cancer tissues when compared with that in the gastric non-cancerous normal tissues.

AIF-1 expression negatively correlates with clinicopathological features of the gastric cancer patients

Immunohistochemical staining of AIF-1 levels was analyzed to determine their correlation with clinicopathological features. As shown in Table I, reduced protein expression of AIF-1 in the cancer tissues was significantly associated with malignant clinicopathological features, such as lymph node metastasis (N category), distant metastasis, TNM stage, tumor diameter and histological type (P<0.05). In addition, more cases with depth of T3/T4 invasion (T category) were noted in the group with low AIF-1 expression although the difference did not reach a statistically significant level. These observations suggest that deficiency in functional AIF-1 expression may contribute to clinical gastric cancer progression.

Table I

Correlation between expression levels of AIF-1 and the clinicopathological features of the gastric cancer patients (n=78).

Table I

Correlation between expression levels of AIF-1 and the clinicopathological features of the gastric cancer patients (n=78).

AIF-1 expression

VariablesLow, n (%)High, n (%)P-valuea
Total patients25 (32.05)53 (67.95)
Age (years)1.000
 ≤6521 (84)43 (81.13)
 >654 (16)10 (18.87)
 Males16 (64)40 (75.47)
 Females9 (36)13 (24.53)
Depth of invasion0.176
 T1/T24 (16)17 (32.08)
 T3/T421 (84)36 (67.92)
Lymph node metastasis<0.001
 N01 (4)22 (41.51)
 N1/N2/N324 (96)31(58.49)
Distant metastasis0.004
 M014 (56)46 (86.79)
 M111 (44)7 (13.21)
TNM stage<0.001
 I1 (4)9 (16.98)
 II1 (4)22 (41.51)
 III12 (48)12 (22.64)
 IV11 (44)10 (18.87)
Tumor diameter (cm)0.041
 ≤512 (48)36 (67.92)
 >513 (52)17 (32.08)
Histological type0.007
 Intestinal16 (64)16 (30.19)
 Diffuse9 (36)37 (69.81)

a Two-sided Fisher’s exact test.

{ label (or @symbol) needed for fn[@id='tfn2-or-31-02-0828'] } AIF-1, allograft inflammatory factor-1; TNM, tumor-node-metastasis.

Expression of AIF-1 is an independent prognostic indicator for overall survival of gastric cancer patients

To further determine the prognostic value of AIF-1 in gastric cancer, overall survival was analyzed. Kaplan-Meier survival curves showed that reduced AIF-1 expression in gastric cancer tissues was significantly correlated with shorten overall 5-year survival in the patients in the cohort (P<0.001, Fig. 2). This suggests that expression of AIF-1 in gastric cancer tissues may be an independent biomarker of patient overall survival.

Deficiency of AIF-1 expression contributes to proliferation and migration in gastric cancer cells

To determine the potential role of AIF-1 in the development of gastric cancer, we designed a series of cell culture models to investigate whether knockdown of AIF-1 affects proliferation, migration and adhesion of gastric cancer cells. As shown in Fig. 3, the ability for cell proliferation was significantly increased after knockdown of AIF-1 by gene-specific siRNA in both BGC-823 and SGC-7901 cells. Similarly, the Transwell migration assay revealed that the numbers of BGC-823 and SGC-7901 cells that migrated through the membrane into the lower chamber were significantly higher in the si-AIF-1 transfected cells when compared with these numbers in the controls (Fig. 4). In addition, AIF-1-deficient cells also demonstrated accelerated wound closure (Fig. 5). These results indicate that AIF-1 deficiency contributes to the development of the malignant phenotype in gastric cancer cells.

AIF-1 deficiency activates β-catenin expression in gastric cancer cells

Previous studies have reported that β-catenin activation plays an important role in gastric cancer (16). To test whether the role of AIF-1 is realized via β-catenin in gastric cancer cells, AIF-1 and β-catenin protein in human gastric cancer cell lines was detected by western blotting. As shown in Fig. 6, the expression of β-catenin was upregulated in BGC-823 and SGC7901 cells following transfection with si-AIF-1 when compared with the control (Fig. 6). These data suggest that AIF-1 deficiency promotes β-catenin expression in gastric cancer cells.


The assessment of biological prognostic factors is of clinical importance, particularly for diseases with poor outcome such as gastric cancer. In the present study, we investigated the role of AIF-1 expression in the prognosis of gastric cancer patients for the first time. Decreased AIF-1 expression in gastric cancer when compared to non-cancerous tissues was observed. Moreover, we showed that AIF-1 expression was associated with clinical progression and prognosis of the gastric cancer patients. In the in vitro models, AIF-1 deficiency promoted cell growth, migration and β-catenin expression in gastric cancer cell lines BGC-823 and SGC-7901. Thus, the functions of AIF-1 in gastric cancer cells may be realized through the suppression of β-catenin expression.

AIF-1 is a cytoplasmic, calcium-binding, inflammation-responsive scaffold protein that has been implicated in the regulation of inflammation. The AIF-1 gene is located on chromosome 6p21.3, which is densely clustered with genes involved in the inflammatory response, including surface glycoproteins, complement cascade, TNF-α, TNF-β and NF-κB genes (17). It has been reported that AIF-1 is closely associated with cardiac allograft vasculopathy, rheumatoid arthritis, inflammatory skin disorders and systemic sclerosis (6,7). Since AIF-1 may be involved in the cytoskeletal signaling network and may contribute to the progression of EMT (18,19), it is evident that aberrant regulation of AIF-1 may lead to tumor progression. Previous studies have revealed that AIF-1 can promote the growth of breast tumors via the activation of NF-κB signaling, which consequently upregulates the expression of cyclin D1 (9). Moreover, expression of AIF-1 was found to be upregulated in cervical cancer tissues (20). These results indicate that AIF-1 may function as an oncogene. However, in the present study, our results provided novel evidence of a strong association between AIF-1 upregulation and clinicohistopathological parameters, indicative of a more favorable outcome in gastric cancer patients. This suggests that there may be another mechanism by which AIF-1 is involved in gastric cancer progression.

We noted that the roles of β-catenin in mediating intercellular adhesion and regulation of cell growth, differentiation, invasion and metastasis have been well characterized (21,22). The β-catenin-TCF/LEF complex regulates and activates its downstream target transcription genes which are involved in the development and progression of cancer (2325). The abnormal activation of β-catenin frequently occurs in gastric cancer and has been proven to promote tumor growth, invasion and metastasis (26,27). Furthermore, previous studies have confirmed that high β-catenin expression is an independent indicator of poor prognosis for these carcinomas and is closely correlated with enhanced tumor progression (28,29).

In the present study, we found that AIF-1 knockdown promoted β-catenin expression in gastric cancer. Our observations were consistent with the previous finding that β-catenin activity is negatively correlated with bacteria-induced inflammation (30). Further studies are required to obtain a detailed profile of the exact mechanisms involved in the regulation of β-catenin by AIF-1 in gastric tumor development.

This is the first study to report the association between AIF-1 expression and the clinicopathological features of gastric cancer. Our data demonstrate that AIF-1 functions as a tumor suppressor possibly by regulating β-catenin in gastric cancer. Moreover, loss of AIF-1 expression may represent a novel indicator for the progression and prognosis of gastric cancer. Nevertheless, despite highly significant results in our patient cohort, further studies must be carried out to evaluate whether AIF-1 may be beneficial as a future preventive and therapeutic target for gastric cancer.


The present study was supported by the Priority Academic Program Development (PAPD) of Jiangsu Higher Education Institutions, and the National Natural Science Foundation of China (nos. 30930080 and 81161120537).



Parkin DM, Bray F, Ferlay J and Pisani P: Global cancer statistics, 2002. CA Cancer J Clin. 55:74–108. 2005. View Article : Google Scholar


Yoo CH, Noh SH, Shin DW, Choi SH and Min JS: Recurrence following curative resection for gastric carcinoma. Br J Surg. 87:236–242. 2000. View Article : Google Scholar : PubMed/NCBI


Jia B, Liu H, Kong Q and Li B: RKIP expression associated with gastric cancer cell invasion and metastasis. Tumour Biol. 33:919–925. 2012. View Article : Google Scholar : PubMed/NCBI


Utans U, Quist WC, McManus BM, et al: Allograft inflammatory factory-1. A cytokine-responsive macrophage molecule expressed in transplanted human hearts. Transplantation. 61:1387–1392. 1996.


Autieri MV, Kelemen S, Thomas BA, Feller ED, Goldman BI and Eisen HJ: Allograft inflammatory factor-1 expression correlates with cardiac rejection and development of cardiac allograft vasculopathy. Circulation. 106:2218–2223. 2002. View Article : Google Scholar : PubMed/NCBI


Kimura M, Kawahito Y, Obayashi H, et al: A critical role for allograft inflammatory factor-1 in the pathogenesis of rheumatoid arthritis. J Immunol. 178:3316–3322. 2007. View Article : Google Scholar : PubMed/NCBI


Orsmark C, Skoog T, Jeskanen L, Kere J and Saarialho-Kere U: Expression of allograft inflammatory factor-1 in inflammatory skin disorders. Acta Derm Venereol. 87:223–227. 2007.PubMed/NCBI


Del Galdo F, Maul GG, Jiménez SA and Artlett CM: Expression of allograft inflammatory factor 1 in tissues from patients with systemic sclerosis and in vitro differential expression of its isoforms in response to transforming growth factor β. Arthritis Rheum. 54:2616–2625. 2006.PubMed/NCBI


Liu S, Tan WY, Chen QR, et al: Daintain/AIF-1 promotes breast cancer proliferation via activation of the NF-κB/cyclin D1 pathway and facilitates tumor growth. Cancer Sci. 99:952–957. 2008.PubMed/NCBI


Li T, Feng Z, Jia S, et al: Daintain/AIF-1 promotes breast cancer cell migration by up-regulated TNF-α via activate p38 MAPK signaling pathway. Breast Cancer Res Treat. 131:891–898. 2012.PubMed/NCBI


Jia J, Bai Y, Fu K, Sun ZJ, Chen XM and Zhao YF: Expression of allograft inflammatory factor-1 and CD68 in haemangioma: implication in the progression of haemangioma. Br J Dermatol. 159:811–819. 2008. View Article : Google Scholar : PubMed/NCBI


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. 64:31–49. 1965.PubMed/NCBI


Aiko T and Sasako M: The new Japanese classification of gastric carcinoma: points to be revised. Gastric Cancer. 1:25–30. 1998. View Article : Google Scholar : PubMed/NCBI


Wang S, Wu X, Chen Y, et al: Prognostic and predictive role of JWA and XRCC1 expressions in gastric cancer. Clin Cancer Res. 18:2987–2996. 2012. View Article : Google Scholar : PubMed/NCBI


Weichert W, Röske A, Gekeler V, et al: Association of patterns of class I histone deacetylase expression with patient prognosis in gastric cancer: a retrospective analysis. Lancet Oncol. 9:139–148. 2008. View Article : Google Scholar : PubMed/NCBI


Takasu S, Tsukamoto T, Cao XY, et al: Roles of cyclooxygenase-2 and microsomal prostaglandin E synthase-1 expression and β-catenin activation in gastric carcinogenesis in N-methyl-N-nitrosourea-treated K19-C2mE transgenic mice. Cancer Sci. 99:2356–2364. 2008.


Iris FJ, Bougueleret L, Prieur S, et al: Dense Alu clustering and a potential new member of the NFκB family within a 90 kilobase HLA class III segment. Nat Genet. 3:137–145. 1993.


Autieri MV, Kelemen SE and Wendt KW: AIF-1 is an actin-polymerizing and Rac1-activating protein that promotes vascular smooth muscle cell migration. Circ Res. 92:1107–1114. 2003. View Article : Google Scholar : PubMed/NCBI


Hugo HJ, Wafai R, Blick T, Thompson EW and Newgreen DF: Staurosporine augments EGF-mediated EMT in PMC42-LA cells through actin depolymerisation, focal contact size reduction and Snail1 induction - a model for cross-modulation. BMC Cancer. 9:2352009. View Article : Google Scholar : PubMed/NCBI


Song JY, Bae HS, Koo do H, et al: Candidates for tumor markers of cervical cancer discovered by proteomic analysis. J Korean Med Sci. 27:1479–1485. 2012. View Article : Google Scholar : PubMed/NCBI


Ozawa M, Ringwald M and Kemler R: Uvomorulin-catenin complex formation is regulated by a specific domain in the cytoplasmic region of the cell adhesion molecule. Proc Natl Acad Sci USA. 87:4246–4250. 1990. View Article : Google Scholar : PubMed/NCBI


Conacci-Sorrell M, Simcha I, Ben-Yedidia T, Blechman J, Savagner P and Ben-Ze’ev A: Autoregulation of E-cadherin expression by cadherin-cadherin interactions: the roles of β-catenin signaling, Slug, and MAPK. J Cell Biol. 163:847–857. 2003.PubMed/NCBI


Logan CY and Nusse R: The Wnt signaling pathway in development and disease. Annu Rev Cell Dev Biol. 20:781–810. 2004. View Article : Google Scholar : PubMed/NCBI


Kanwar SS, Yu Y, Nautiyal J, Patel BB and Majumdar AP: The Wnt/β-catenin pathway regulates growth and maintenance of colonospheres. Mol Cancer. 9:2122010.


Hervieu V, Lepinasse F, Gouysse G, et al: Expression of β-catenin in gastroenteropancreatic endocrine tumours: a study of 229 cases. J Clin Pathol. 59:1300–1304. 2006.


Bianchi F, Hu J, Pelosi G, et al: Lung cancers detected by screening with spiral computed tomography have a malignant phenotype when analyzed by cDNA microarray. Clin Cancer Res. 10:6023–6028. 2004. View Article : Google Scholar : PubMed/NCBI


Zhang N, Zhang J, Shuai L, et al: Krüppel-like factor 4 negatively regulates β-catenin expression and inhibits the proliferation, invasion and metastasis of gastric cancer. Int J Oncol. 40:2038–2048. 2012.


Lin SY, Xia W, Wang JC, et al: β-Catenin, a novel prognostic marker for breast cancer: its roles in cyclin D1 expression and cancer progression. Proc Natl Acad Sci USA. 97:4262–4266. 2000.


Wong SC, Lo ES, Lee KC, Chan JK and Hsiao WL: Prognostic and diagnostic significance of β-catenin nuclear immunostaining in colorectal cancer. Clin Cancer Res. 10:1401–1408. 2004.


Duan Y, Liao AP, Kuppireddi S, Ye Z, Ciancio MJ and Sun J: β-Catenin activity negatively regulates bacteria-induced inflammation. Lab Invest. 87:613–624. 2007.

Related Articles

Journal Cover

February 2014
Volume 31 Issue 2

Print ISSN: 1021-335X
Online ISSN:1791-2431

Sign up for eToc alerts

Recommend to Library

Copy and paste a formatted citation
Ye, Y., Miao, S., Lu, R., Xia, X., Chen, Y., Zhang, J. ... Zhou, J. (2014). Allograft inflammatory factor-1 is an independent prognostic indicator that regulates β-catenin in gastric cancer. Oncology Reports, 31, 828-834.
Ye, Y., Miao, S., Lu, R., Xia, X., Chen, Y., Zhang, J., Wu, X., He, S., Qiang, F., Zhou, J."Allograft inflammatory factor-1 is an independent prognostic indicator that regulates β-catenin in gastric cancer". Oncology Reports 31.2 (2014): 828-834.
Ye, Y., Miao, S., Lu, R., Xia, X., Chen, Y., Zhang, J., Wu, X., He, S., Qiang, F., Zhou, J."Allograft inflammatory factor-1 is an independent prognostic indicator that regulates β-catenin in gastric cancer". Oncology Reports 31, no. 2 (2014): 828-834.