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

Yang, Ye; Miao, Shuhan; Lu, Rongzhu; Xia, Xiaowei; Chen, Yansu; Zhang, Jianbing; Wu, Xuming; He, Song; Fu, Qiang; Zhou, Jianwei

doi:10.3892/or.2013.2915

Cited by 9 publications

(8 citation statements)

References 29 publications

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“…These previous studies support the possibility that AIF-1 acts as an oncogene. However, in contrast to our findings, Ye et al showed significantly lower AIF-1 protein levels in gastric cancer tissues than in matched adjacent non-cancerous tissues and provided novel evidence of a negative correlation between AIF-1 expression and clinical and histopathological parameters [ 32 ]. These data suggest that the mechanisms by which AIF-1 is involved in cancer progression remain unclear.…”

Section: Discussioncontrasting

confidence: 99%

Expression of Allograft Inflammatory Factor-1 (AIF-1) in Hepatocellular Carcinoma

et al. 2018

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BackgroundAllograft inflammatory factor-1 (AIF-1) is a cytoplasmic protein cloned from activated macrophages in human and rat allografts. AIF-1 has been identified as a modulator of inflammatory response, and recently published studies have shown its increased expression in carcinogenesis. However, there are still limited data on the potential functional role of AIF-1 in hepatocellular carcinoma (HCC).Material/MethodsWe evaluated the expression of AIF-1 in 104 cases of paired HCC and adjacent non-cancerous liver tissues using immunohistochemistry, Western blotting, and qPCR analysis, and sought to determine whether its expression was correlated with clinicopathological features. In vitro assays, including cell proliferation and migration assays, were used to study the effects of AIF-1 knockdown in L02 human hepatocyte, and Huh7 and SMMC7721 liver cancer cell lines.ResultsExpression of AIF-1 was increased in HCC compared to adjacent normal liver tissues and was positively correlated with median tumor size (p=0.046), number of tumor deposits (p=0.009), the Barcelona Clinic Liver Cancer (BCLC) stage (p=0.004), and portal vein tumor thrombus (PVTT) (p<0.001). Huh7 and SMMC7721 human HCC cells demonstrated upregulated AIF-1 expression compared to normal hepatocytes. Small interfering RNA (siRNA)-mediated silencing of AIF-1 expression resulted in a reduction in cell proliferation and migration in human HCC cells.ConclusionsThese findings suggest AIF-1 may have roles as a diagnostic or prognostic biomarker and a promising therapeutic target in HCC.

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Section: Discussioncontrasting

confidence: 99%

Expression of Allograft Inflammatory Factor-1 (AIF-1) in Hepatocellular Carcinoma

et al. 2018

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“…Only very recently, it was shown that AIF1L is highly expressed in conditions of breast cancer and correlates with proliferation behavior via modulation of cyclin-D1 levels [ 16 ]. These findings are in accordance with previous reports about the role of AIF1 in cancer and breast cancer in particular [ 41 , 44 , 45 ]. In the context of podocytes, a recent study identified Aif1l with several other genes highly enriched in murine podocytes using single cell RNA-Seq approaches [ 14 ].…”

Section: Discussionsupporting

confidence: 94%

AIF1L regulates actomyosin contractility and filopodial extensions in human podocytes

et al. 2018

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Podocytes are highly-specialized epithelial cells essentially required for the generation and the maintenance of the kidney filtration barrier. This elementary function is directly based on an elaborated cytoskeletal apparatus establishing a complex network of primary and secondary processes. Here, we identify the actin-bundling protein allograft-inflammatory-inhibitor 1 like (AIF1L) as a selectively expressed podocyte protein in vivo. We describe the distinct subcellular localization of AIF1L to actin stress fibers, focal adhesion complexes and the nuclear compartment of podocytes in vitro. Genetic deletion of AIF1L in immortalized human podocytes resulted in an increased formation of filopodial extensions and decreased actomyosin contractility. By the use of SILAC based quantitative proteomics analysis we describe the podocyte specific AIF1L interactome and identify several components of the actomyosin machinery such as MYL9 and UNC45A as potential AIF1L interaction partners. Together, these findings indicate an involvement of AIF1L in the stabilization of podocyte morphology by titrating actomyosin contractility and membrane dynamics.

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“…EF-hand (EFh) domain-containing proteins are associated with numerous disease states, including chronic inflammation and tumor progression [12]. The AIF1L protein structure encompasses two central EFh motifs that lack bound Ca 2+ [18]. AIF1L is expressed at high levels in kidney tissues.…”

Section: Discussionmentioning

confidence: 99%

“…EF-hand (EFh) domain-containing proteins have been implicated in malignant progression [12]. Allograft inflammatory factor 1 (AIF1, also referred to as IBA1) contains Efh and plays a critical role in the initiation and progression of cancers [13][14][15][16][17][18]. AIF1L (allograft inflammatory factor 1like, also referred to as IBA2) is a homolog of AIF1 [19,20] and has a similar overall structure and molecular function [20].…”

Section: Introductionmentioning

confidence: 99%

A prognostic index model for assessing the prognosis of ccRCC patients by using the mRNA expression profiles of AIF1L, SERPINC1 and CES1

Zheng¹,

Chen²,

Chen³

et al. 2022

JOMH

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Background: Kidney carcinoma is a major cause of carcinoma-related death, with the prognosis for advanced or metastatic renal cell carcinoma still very poor. The aim of this study was to investigate feasible prognostic biomarkers that can be used to construct a prognostic index model for clear cell renal cell carcinoma (ccRCC) patients. Methods: The mRNA expression profiles of ccRCC samples were downloaded from the The Cancer Genome Atlas (TCGA) dataset and the correlation of AIF1L with malignancy, tumor stage and prognosis were evaluated. Differentially expressed genes (DEGs) between AIF1L-low and AIF1L-high expression groups were selected. Those with prognostic value as determined by univariate and multivariate Cox regression analysis were then used to construct a prognostic index model capable of predicting the outcome of ccRCC patients. Results: The expression level of AIF1L was lower in ccRCC samples than in normal kidney samples. AIF1L expression showed an inverse correlation with tumor stage and a positive association with better prognosis. ccRCC samples were divided into high-and low-expression groups according to the median value of AIF1L expression. In the AIF1L-high expression group, 165 up-regulated DEGs and 601 down-regulated DEGs were identified. Three genes (AIF1L, SERPINC1 and CES1) were selected following univariate and multivariate Cox regression analysis. The hazard ratio (HR) and 95% confidence intervals (CI) for these genes were: AIF1L (HR = 0.83, 95% CI: 0.76-0.91), SERPINC1 (HR = 1.33, 95% CI: 1.12-1.58), and CES1 (HR = 0.87, 95% CI: 0.78-0.97). A prognostic index model based on the expression level of the three genes showed good performance in predicting ccRCC patient outcome, with an area under the ROC curve (AUC) of 0.671. Conclusion: This research provides a better understanding of the correlation between AIF1L expression and ccRCC. We propose a novel prognostic index model comprising AIF1L, SERPINC1 and CES1 expression that may assist physicians in determining the prognosis of ccRCC patients.

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

Cited by 9 publications

References 29 publications

Expression of Allograft Inflammatory Factor-1 (AIF-1) in Hepatocellular Carcinoma

Expression of Allograft Inflammatory Factor-1 (AIF-1) in Hepatocellular Carcinoma

AIF1L regulates actomyosin contractility and filopodial extensions in human podocytes

A prognostic index model for assessing the prognosis of ccRCC patients by using the mRNA expression profiles of AIF1L, SERPINC1 and CES1

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