Literature DB >> 26332389

Metastasis-Associated in Colon Cancer-1 Associates With Poor Prognosis and Promotes Cell Invasion and Angiogenesis in Human Cervical Cancer.

Xiang Zhou1, Chang-Juan Xu, Jun-Xian Wang, Ting Dai, Ya-Ping Ye, Yan-Mei Cui, Wen-Ting Liao, Xin-Lin Wu, Jian-Ping Ou.   

Abstract

OBJECTIVE: The aim of this study is to investigate the clinicopathologic significance and potential role of metastasis-associated in colon cancer-1 (MACC1) in the progression of cervical cancer.
METHODS: MACC1 expression was examined in cervical cancer cell lines, 6 matched cervical cancer tissues, and adjacent noncancerous tissues using Western blotting and real-time reverse transcriptase polymerase chain reaction. MACC1 protein expression and localization were determined in 181 paraffin-embedded archived cervical cancer samples using immunohistochemistry. Statistical analyses were applied to evaluate the clinicopathologic significance. The effects of MACC1 on cell migration, invasion, and angiogenesis were examined using migration assay, wound healing assay, 3-dimensional morphogenesis assay, and chicken chorioallantoic membrane assay. Western blotting was performed to examine the impact of MACC1 on the Akt and nuclear factor κB signaling pathways.
RESULTS: Both protein and messenger RNA levels of MACC1 was up-regulated in cervical cancer cell lines and cervical cancer tissues, as compared with normal tissues. High MACC1 expression was detected in 96 (53%) of 181 of the cervical cancer tissues. In addition, high MACC1 expression correlated significantly with aggressiveness of cervical cancer, including International Federation of Gynecology and Obstetric stage (P = 0.001), pelvic lymph node metastasis (P = 0.004), recurrence (P = 0.037), and poor survival (P = 0.001). Moreover, enforced expression of MACC1 in cervical cancer cell lines significantly enhanced cell migration, invasion, and angiogenesis. Conversely, knockdown of MACC1 caused an inhibition of cell migration, invasion, and angiogenesis. Up-regulation of MACC1 increased, but knockdown of MACC1 decreased the expression of matrix metalloproteinase-2 and matrix metalloproteinase-9. Furthermore, enforced expression of MACC1 could enhance, but knockdown of MACC1 could reduce AKT and nuclear factor κB pathway activity.
CONCLUSIONS: Our findings suggest that MACC1 protein, as a valuable marker of cervical cancer prognosis, plays an important role in the progression of human cervical cancer cells.

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Year:  2015        PMID: 26332389      PMCID: PMC5106080          DOI: 10.1097/IGC.0000000000000524

Source DB:  PubMed          Journal:  Int J Gynecol Cancer        ISSN: 1048-891X            Impact factor:   3.437


Cervical cancer is one of the most commonly causes of female death worldwide. Despite the generally good prognosis for early-stage cervical cancer, the global cervical cancer incidence is increasing and the clinical outcome and prognosis of patients with late-stages cervical cancer still remain pessimistic.1 Lymph node involvement is one of the strongest prognostic factors for unfavorable prognosis, even in early-stage cervical cancer (International Federation of Gynecology and Obstetric [FIGO] stages Ib-IIa) and provides important guidance for determining the treatment strategies.2 The penetration of lymphatic or blood vessels by tumor cells is an essential step in the formation of metastasis. However, hitherto, no efficient strategy to predict lymphatic or distant metastasis preoperatively has been established. The identification and functional characterization of molecules involved in lymphatic or distant metastasis may, therefore, reveal targets for diagnostic and therapeutic techniques. Metastasis-associated in colon cancer-1 (MACC1) was first identified by differential display reverse transcriptase polymerase chain reaction (RT-PCR) analyzing colon mucosa, primary tumors, and metastatic colon cancer.3 Further studies have shown that MACC1 was an independent prognostic predictor of metastasis formation and metastasis-free survival in patients with colon cancer.4 Functional investigations demonstrated that MACC1 could promote cell proliferation, motility, tumor growth, and metastasis abilities of colon cancer cells, and acts as a key regulator of the HGF-MET pathway.4 Bioinformatic analyses indicate that MACC1 also involves in regulation of apoptosis.5 More recently, MACC1 is demonstrated to be up-regulated in several types of cancer and serves as a biomarker for prediction of invasion and metastasis, as well as prognosis in several types of human cancers, including hepatocellular cancer, nasopharyngeal cancer, gastric cancer, pancreatic cancer, ovarian cancers, and non–small cell lung cancer.6–12 These findings suggest that MACC1 plays an important role in the development and progression of human cancers. Recently, it was reported that MACC1 was up-regulated in cervical cancer tissues. High expression of MACC1 was correlated with aggressive characteristics and poor survival for patient with this disease.13 However, the potential role of MACC1 in cervical cancer progression and underlying mechanism remain unknown and thus are worth further studying. Here, we sought to investigate the expression patterns and the potential role of MACC1 in the progression of cervical cancer.

MATERIALS AND METHODS

Tissue Specimens

A total of 181 archived, formalin-fixed, paraffin-embedded human cervical cancer (FIGO stages I-III) samples were obtained from the Department of Pathology, NanFang hospital, Southern Medical University, China. All of the cases were clinically and histologically diagnosed between November 1999 and September 2005. The medical records of the patients were reviewed to collect the following clinicopathologic information: age, FIGO stage, histologic type, differentiation, pelvic lymph node involvement, and recurrence. A total of 113 patients received adjuvant chemoradiation. The latest follow-up was updated in August 2010, and the median follow-up for overall survival was 58 (range, 0.5–131) months for patients who remained alive at the time of this analysis. The 6 freshly collected cervical cancer biopsies and their matched adjacent noncancerous mucosa tissues were collected at the operation room, Nan-fang Hospital. The fresh biopsies were frozen and stored in liquid nitrogen until further use. Prior approval was obtained from the Southern Medical University Institutional Board (Guangzhou, China) for the use of clinical materials for research purposes.

Immunohistochemistry

Immunochemistry (IHC) staining and data analyses were carried out as previously described.14 Briefly, tissue sections were incubated with anti-MACC1 antibody (1:500; Sigma, ST Louis, MI) overnight at 4°C. The sections were reviewed and scored independently by 2 observers, based on both the proportion of positively stained tumor cells and the intensity of staining.14 The proportion of tumor cells was scored as follows: 0 (no positive tumor cells), 1 (<10% positive tumor cells), 2 (10%–50% positive tumor cells), and 3 (>50% positive tumor cells). The intensity of staining was graded according to the following criteria: 0 (no staining), 1 (weak staining = light yellow), 2 (moderate staining = yellow brown), and 3 (strong staining = brown). The staining index (SI) was calculated (staining intensity score × proportion of positive tumor cells). Using this method of assessment, we evaluated the expression of MACC1 in cervical cancer lesions by determining the SI, which scores as 0, 1, 2, 3, 4, 6, and 9. Cutoff values for MACC1 were chosen on the basis of a measure of heterogeneity with the log-rank test statistical analysis with respect to overall survival. An optimal cutoff value was identified: the SI score of at least 4 was used to define tumors as having high MACC1 expression and at most 3 as having low expression of MACC1. To account for the inconsistencies in IHC staining intensities, the mean optical density (MOD) method, which was used for the scoring of the staining intensity, was applied in the current study. In brief, the stained slides were evaluated at ×200 magnification using the SAMBA 4000 computerized image analysis system with Immuno 4.0 quantitative program (Image Products International, Chantilly, VA). Ten representative staining fields of each tumor sample were analyzed to determine the MOD, which represented the concentration of the stain or proportion of positive pixels within the whole tissue. A negative control for each staining batch was used for background subtraction in the quantitative analysis. The data were statistically analyzed using t test to determine the differences in average MOD values between different groups of tissues. P < 005 was considered significant.

Cell Lines and Plasmids

The cervical cancer cell lines HeLa, SiHa, and C33A were cultured in Eagle minimum essential medium (GIBCO BRL, Rockville, MD) and ME180, HeLa229, Caski, and MS7501 were cultured in RPMI-1640 medium (GIBCO BRL), all supplemented with 10% fetal bovine serum (HyClone Laboratories, Logan, UT). The MACC1 construct was generated by subcloning PCR amplified full-length human MACC1 complementary DNA into pMSCV. For deletion of MACC1, 2 small interfering RNA (siRNA) oligonucleotides (RNAi #1: AAGATTGGACTTGTACACTGC and RNAi #2: AAGCTTGGAAAAGGCTGGAGG) were cloned into pSuper-retro puro. Retroviral production and infection were performed as described previously.15 Stable cell lines expressing MACC1 or MACC1 RNAi were selected for 10 days with 0.5 μg/mL puromycin.

Western Blotting

Protein lysates were prepared, subjected to sodium dodecyl sulfate–polyacrylamide gel electrophoresis, transferred onto polyvinylidene fluoride, membranes, and blotted according to standard methods, using rabbit anti-MACC1 (Abcam, Cambridge, MA), anti–phospho-AKT, anti-AKT, anti–p-IKKa/b, anti-IKKa/b (Cell Signaling Technology), rabbit anti–matrix metalloproteinase (MMP)-2, and anti–MMP-9 (Santa Cruz Biotechnology). Mouse anti–α-tubulin (Sigma) monoclonal antibody was used as a loading control.

RNA Extraction and Real-Rime RT-PCR

Total RNA from cultured cells and fresh tissues was extracted using the Trizol reagent (Invitrogen) according to the manufacturer’s instruction. Two micrograms of RNA from each sample was used for complementary DNA synthesis. Real-rime RT-PCR was used to quantify the relative messenger RNA (mRNA) expression levels of MACC1 by Bio-RadCFX96 sequence detection system. The qPCR primers were listed in supplemental Table S1, available online as Supplemental Digital Content at http://links.lww.com/IGC/A302. All genes were tested in triplicate. Expression data were normalized to the geometric mean of the housekeeping gene GAPDH and calculated as 2−[(Ct of MACC1)−(Ct of GAPDH)], where Ct represents the threshold cycle for each transcript.

Migration Assay

The migration assay was done by using Matrigel-coated Boyden chamber of 24-well transwell plate consisting of 8-mm membrane filter inserts (Corning). Briefly, cells were trypsinized and suspended in serum-free medium. Then 1.5 × 105 cells added to the upper chamber were coated with 50% Matrigel (BD Biosciences), whereas lower chamber was filled with medium with 10% fetal bovine serum. After incubation for 36 hours, cells invaded through the coated membrane to the lower surface were fixed with 4% paraformaldehyde and stained with hematoxylin. The cell count was done under the microscope (×20). All experiments were performed in triplicate.

Wound Healing Assay

Cells were trypsinized and seeded equally into 6-well tissue culture plates and grew to reach almost total confluence in 24 hours. The confluent cells were serum starved (0.5% serum) for 24 hours. Wounds were created in the confluent cells using a 100-μL pipette tip, and the cells were then cultured in complete media (10% serum). Images of cells migrating into the wound were captured at time points of 0, 12, and 24 hours by inverted microscope (×20). All experiments were performed in triplicate.

Chicken Chorioallantoic Membrane Assay

A 1-cm diameter window was opened in the shell of each egg with 8-day-old chicken embryo (Yueqin Breeding Co Ltd, Guangdong, China). The surface of the dermic sheet on the floor of the air sac was removed to expose the chorioallantoic Membrane (CAM). A 0.5-cm diameter filter paper was first placed on top the CAM, and 100-μL conditioned media harvested from cervical cancer cells were added onto the center of the paper. Then the eggs were incubated at 37°C under 80% to 90% relative humidity for 48 hours. After fixation with stationary solution (methanol/acetone, 1:1) for 15 minutes, CAMs were cut and harvested, and gross photos of CAMs were taken under a digital camera (Panasonic, Osaka, Japan). The effect of conditioned media harvested from different cells was evaluated by the number of second- and third-order vessels in comparison with that treated with the medium harvested from control group. The formation of vessels was quantified by comparing the vascular area to the CAM area (corresponding to the area of the 0.5-cm diameter filter paper) using Image-Pro Plus 6.0 software.

Statistical Analysis

All statistical analyses were performed using the SPSS 13.0 statistical software package. The 2-tailed Student t test was used to evaluate the significance of the differences between 2 groups of data in all pertinent experiments. The χ2 test was used to analyze the relationship between MACC1 expression (high or low) and the clinicopathologic features of cervical cancer. Survival curves were plotted by the Kaplan-Meier method and compared by the log-rank test. Multivariate survival analysis was carried out for all of the parameters that were significant in the univariate analysis using the Cox regression model. A 2-sided probability value less than 0.05 was considered statistically significant.

RESULTS

MACC1 Was Up-Regulated in Cervical Cancer

Western blotting and real-time RT-PCR analyses revealed an evidently higher level of MACC1 protein and mRNA in all 7 cervical cancer cell lines than in 1 case of normal cervical epithelial tissue (Fig. 1A). To determine whether the up-regulation of MACC1 in cervical cancer cell lines is clinically correlated with cervical cancer progression, we did Western blotting analysis on 6 pairs of matched normal cervical epithelium and cervical cancer samples. As shown in Figure 1B (left), MACC1 was found to be differentially overexpressed in all 6 examined human primary cervical cancer samples paired with normal tissues from the same patients. By real-time RT-PCR analysis, the tumor/adjacent noncancerous ratio of MACC1 mRNA expression was greater than 2-fold in all these samples (Fig. 1B, right). These findings are consistent with the results obtained in our immunohistochemical analysis (Fig. 1C).
FIGURE 1

Up-regulation of MACC1 in cervical cancer cell lines and tissues. A, Expression of MACC1 proteins and mRNA in normal cervical tissue and cervical cancer cell lines (HeLa, SiHa, ME180, HeLa229, C33A, Caski, MS7501) analyzed by Western blotting (left; repeated 3 times; *P < 0.05) and real-time RT-PCR (right; each bars represent mean ± SD from 3 independent experiments; *P < 005). B, Expression of MACC1 proteins and mRNA in 6 pairs of cervical cancer tissues and matched adjacent noncancerous tissues by Western blotting (left; repeated 3 times; *P < 0.05) and real-time RT-PCR (right; error bars represent mean ± SD from 3 independent experiments; *P < 005). C, Expression of MACC1 in each paired cervical cancer tissues and adjacent normal tissues by IHC.

Up-regulation of MACC1 in cervical cancer cell lines and tissues. A, Expression of MACC1 proteins and mRNA in normal cervical tissue and cervical cancer cell lines (HeLa, SiHa, ME180, HeLa229, C33A, Caski, MS7501) analyzed by Western blotting (left; repeated 3 times; *P < 0.05) and real-time RT-PCR (right; each bars represent mean ± SD from 3 independent experiments; *P < 005). B, Expression of MACC1 proteins and mRNA in 6 pairs of cervical cancer tissues and matched adjacent noncancerous tissues by Western blotting (left; repeated 3 times; *P < 0.05) and real-time RT-PCR (right; error bars represent mean ± SD from 3 independent experiments; *P < 005). C, Expression of MACC1 in each paired cervical cancer tissues and adjacent normal tissues by IHC.

MACC1 Overexpression Was Associated With Progression and Poor Survival in Cervical Cancer

Expression of MACC1 protein was determined by IHC in 181 paraffin-embedded, archived cervical cancer tissues. Two histologic types were included in these cervical cancer tissues: squamous cell carcinoma and adenocarcinoma (Fig. 2A). MACC1 protein was detected in 165 (91.2%) of 181 cases of cervical cancer tissues, whereas there was no or weak signal in adjacent noncancerous areas in all sections detected. Positive staining of MACC1 protein was mainly observed in the cytoplasm (Fig. 2B). Quantitative IHC analysis revealed that the MOD values of MACC1 staining in all primary cervical cancer were higher than that in normal tissues. In addition, the MOD values of MACC1 staining were significantly increased along with the progression of stage I to III (P < 0.001; Fig. 2C).
FIGURE 2

MACC1 protein overexpression in archived paraffin-embedded cervical cancer tissue sections as examined by IHC. A, Representative images from IHC analyses of MACC1 expression in squamous cell carcinoma and adenocarcinoma. B, Representative images from IHC analyses of MACC1 expression in normal human cervical epithelial tissue and primary cervical cancer tissues of different clinical stages. C, Statistical analyses of the average MOD of MACC1 staining between cervical epithelial tissues (10 cases) and cervical cancer tissues of different clinical stages. *P < 0.05. D, Kaplan-Meier survival curves of patients with cervical cancer according to MACC1 expression (left, overall survival; right, progression-free survival).

MACC1 protein overexpression in archived paraffin-embedded cervical cancer tissue sections as examined by IHC. A, Representative images from IHC analyses of MACC1 expression in squamous cell carcinoma and adenocarcinoma. B, Representative images from IHC analyses of MACC1 expression in normal human cervical epithelial tissue and primary cervical cancer tissues of different clinical stages. C, Statistical analyses of the average MOD of MACC1 staining between cervical epithelial tissues (10 cases) and cervical cancer tissues of different clinical stages. *P < 0.05. D, Kaplan-Meier survival curves of patients with cervical cancer according to MACC1 expression (left, overall survival; right, progression-free survival). The χ2 tests in 181 primary human cervical cancer samples indicated that expression level of MACC1 was strongly correlated with FIGO stage (P = 0.001), pelvic lymph node metastasis (P = 0.004), and recurrence (P = 0.037). However, our analyses did not show a significant association between MACC1 expression and other clinicopathologic features including age, histologic type, and differentiation grade (Table S2, available online as Supplemental Digital Content at http://links.lww.com/IGC/A302). Kaplan-Meier analysis and the log-rank test revealed that both the overall survival time and progression-free survival time of patients with high-level MACC1 were shorter than those with low level (Fig. 2D). Univariate and multivariate analyses indicated that MACC1 expression level, FIGO stage, pelvic lymph node metastasis, and histology were independent prognostic markers for cervical cancer (Table S3, available online as Supplemental Digital Content at http://links.lww.com/IGC/A302). Because there were strong associations between the MACC1 status and clinicopathologic parameters, the overall survival might be further distinguished based on MACC1 expression and adjusting the status based on the clinicopathologic parameters. As shown in Supplementary Figure 1, available online as Supplemental Digital Content at http://links.lww.com/IGC/A302, significantly different outcomes based on MACC1 expression were compared in patient subgroups with stages I, II, and III as well as pelvic lymph nodes and no pelvic lymph nodes. We found that MACC1 expression was related to a worse survival in different stratifications, including stages I, II, and III as well as pelvic lymph nodes and no pelvic lymph nodes. In addition, there were 113 patients received adjuvant chemoradiation. MACC1 expression was related to a worse survival in patients receiving adjuvant chemoradiation. However, no obvious difference was observed when MACC1 expression was compared in the subgroup with no adjuvant chemoradiation. Overexpression of MACC1 promotes the aggressiveness of cervical cancer cells. To investigate whether MACC1 plays a role in aggressiveness of cervical cancer, SiHa and HeLa cervical cancer cells stably overexpressing MACC1 were established (Fig. 3A). Matrigel-coated Boyden chamber invasion assays demonstrated that overexpression of MACC1 significantly increased the number of invading cervical cancer cells (Fig. 3B). Wound healing assays demonstrated that overexpression of MACC1 dramatically improved the migration of cervical cancer cells (Fig. 3C). Furthermore, overexpression of MACC1 strongly promoted the formation of second- and third-order vessels in the CAM assay, indicating the significant role of MACC1 in promoting angiogenesis (Fig. 3D).
FIGURE 3

Overexpression of MACC1 promotes the aggressiveness of SiHa and HeLa cervical cancer cells. A, Expression of MACC1 in SiHa and HeLa cell lines overexpressed with vector or MACC1 was analyzed by immunoblotting. α-Tubulin was used as a loading control. B, The representative pictures (left panel) and quantification (right panel) of invaded cells were analyzed using Matrigel-coated Boyden chamber assay. Migrated cells were plotted as the average number of cells per field of view from 3 different experiments, as described in “Materials and Methods.” Original magnification ×200. *P < 005. C, The mobility of cells overexpressed with vector or MACC1 was measured by testing the rate of wound closure at 0, 24, and 48 hours. Original magnification ×200. D, Representative images of the chicken CAM blood vessels stimulated with conditioned medium from indicated cells (left). The formation of vessels was quantified by comparing the vascular area to the CAM area using Image-Pro Plus 6.0 software (right). *P < 005.

Overexpression of MACC1 promotes the aggressiveness of SiHa and HeLa cervical cancer cells. A, Expression of MACC1 in SiHa and HeLa cell lines overexpressed with vector or MACC1 was analyzed by immunoblotting. α-Tubulin was used as a loading control. B, The representative pictures (left panel) and quantification (right panel) of invaded cells were analyzed using Matrigel-coated Boyden chamber assay. Migrated cells were plotted as the average number of cells per field of view from 3 different experiments, as described in “Materials and Methods.” Original magnification ×200. *P < 005. C, The mobility of cells overexpressed with vector or MACC1 was measured by testing the rate of wound closure at 0, 24, and 48 hours. Original magnification ×200. D, Representative images of the chicken CAM blood vessels stimulated with conditioned medium from indicated cells (left). The formation of vessels was quantified by comparing the vascular area to the CAM area using Image-Pro Plus 6.0 software (right). *P < 005.

Knockdown of MACC1 Inhibits Aggressive Behaviors in Cervical Cancer

We further silenced endogenous MACC1 expression in SiHa and HeLa cervical cancer cells using specific siRNAs (Fig. 4A). Silencing MACC1 in cervical cancer cells significantly reduced the invasiveness and migration of cervical cancer cells (Fig. 4B, C). Furthermore, knocking down of MACC1 strongly inhibited the formation of second- and third-order vessels in the CAM assay (Fig. 4D).
FIGURE 4

Silencing MACC1 inhibits the malignant properties of SiHa and HeLa cells. A, Expression of MACC1 in SiHa and HeLa cell lines expressed with vector or MACC1 siRNAs was analyzed by immunoblotting. α-Tubulin was used as a loading control. B, The representative pictures (left panel) and quantification (right panel) of invaded cells were analyzed using Matrigel-coated Boyden chamber assay. Migrated cells were plotted as the average number of cells per field of view from 3 different experiments, as described in “Materials and Methods.” Original magnification ×200. *P < 005. C, The mobility of cells expressed with vector or MACC1 siRNAs was measured by testing the rate of wound closure at 0, 24, and 48 hours. Original magnification ×200. D, Representative images of the chicken CAM blood vessels stimulated with conditioned medium from indicated cells (left). The formation of vessels was quantified by comparing the vascular area to the CAM area using Image-Pro Plus 6.0 software (right). *P < 005.

Silencing MACC1 inhibits the malignant properties of SiHa and HeLa cells. A, Expression of MACC1 in SiHa and HeLa cell lines expressed with vector or MACC1 siRNAs was analyzed by immunoblotting. α-Tubulin was used as a loading control. B, The representative pictures (left panel) and quantification (right panel) of invaded cells were analyzed using Matrigel-coated Boyden chamber assay. Migrated cells were plotted as the average number of cells per field of view from 3 different experiments, as described in “Materials and Methods.” Original magnification ×200. *P < 005. C, The mobility of cells expressed with vector or MACC1 siRNAs was measured by testing the rate of wound closure at 0, 24, and 48 hours. Original magnification ×200. D, Representative images of the chicken CAM blood vessels stimulated with conditioned medium from indicated cells (left). The formation of vessels was quantified by comparing the vascular area to the CAM area using Image-Pro Plus 6.0 software (right). *P < 005.

MACC1 Up-Regulated MMP-2 and MMP-9: Activation of AKT and Nuclear Factor κB Signaling Pathways in Cervical Cancer Cells Was Involved

To understand the mechanisms that facilitate the enhanced aggressiveness and angiogenesis mediated by MACC1, the expression levels of MMP-2 and MMP-9 were detected. As shown in Figure 5A, overexpression of MACC1 led to dramatic up-regulation of MMP-2 and MMP-9. Conversely, silencing MACC1 in cervical cancer cells led to decreased expression of MMP-2 and MMP-9. Moreover, the modulation of MMP-2 and MMP-9 by MACC1 was regulated at the transcriptional level (Fig. 5B). Furthermore, phosphorylated levels of AKT, p-IKKα/β, and p-P65 were increased in MACC1-overexpressed cervical cancer cells, whereas they were significantly decreased in MACC1-knockdown cervical cancer cells compared with control cells (Fig. 5A).
FIGURE 5

MACC1 regulates MMP-2 and MMP-9 and activates the AKT and NF-κB signaling pathways. A, Western blotting analysis of the expression of p-AKT, total AKT, p-IKKa/b, total IKKa/b, p-P65, MMP-2, and MMP-9 proteins in indicated vector-infected and MACC1 infected cervical cancer cell lines, and vector-infected and MACC1 siRNA-infected cervical cancer cell lines. B, Relative mRNA expression levels of MMP-2 and MMP-9 in indicated cervical cancer cell lines were determined by real-time RT-PCR. Error bars represent mean ± SD from 3 independent experiments.

MACC1 regulates MMP-2 and MMP-9 and activates the AKT and NF-κB signaling pathways. A, Western blotting analysis of the expression of p-AKT, total AKT, p-IKKa/b, total IKKa/b, p-P65, MMP-2, and MMP-9 proteins in indicated vector-infected and MACC1 infected cervical cancer cell lines, and vector-infected and MACC1 siRNA-infected cervical cancer cell lines. B, Relative mRNA expression levels of MMP-2 and MMP-9 in indicated cervical cancer cell lines were determined by real-time RT-PCR. Error bars represent mean ± SD from 3 independent experiments.

DISCUSSION

In this study, we demonstrate that MACC1 is up-regulated and is significantly correlated with aggressive features in cervical cancer, including FIGO stage, pelvic lymph node metastasis, recurrence, and poor prognosis. Our results are consistent with previous reports on some other cancer types. Similar to our results, MACC1 overexpression has been reported in association with the clinical progression and poor outcome of patients in several human cancers, including nasopharyngeal carcinoma, lung cancer, breast cancer, epithelial ovarian cancer, hepatocellular cancer, pancreatic cancer, colorectal cancer, and gastric cancer.6–8,11,12,16–21 Recently, a study in 104 paraffin-embedded cervical cancer samples by IHC revealed that high expression of MACC1 was correlated with advanced FIGO stage, lymph nodes metastasis, and poor survival of this disease.12 Our results were consistent with this study. Taken together, these findings reflect the ability of MACC1 to play a role in cervical cancer progression. Overexpression of MACC1 protein may be a common feature in human cancer and might be served as an independent prognostic marker to identify patients with poor clinical outcomes. However, whether MACC1 can be used as a general biomarker or as a potential molecular therapeutic target for tumor progression needs further investigation. MACC1 has been implicated in the promotion of cell migration, invasion, and metastasis in several human cancers, including colorectal cancer, gastric cancer, hepatocellular carcinoma cells, and pancreatic cancer.4,11,22,23 Mechanistically, it has been reported that MACC1 directly binds to the promoter of receptor tyrosine kinase MET and induces MET transcription, which in turn leads to the activation of the HGF-MET signaling pathway.4 MET is activated after binding of the HGF ligand and transmits intracellular signaling cascades via the RAS-MAPK and PI3K-Akt pathways.24–26 Consistent with studies in other cancer types, the present study shows that aberrant expression of MACC1 is associated with changes in aggressive properties of cervical cancer cells, including migration and invasion. Importantly, the present study reveals that overexpression of MACC1 enhances, but knockdown of MACC1 represses the angiogenesis capacity of cervical cancer cells. In addition, MACC1 promotes AKT and nuclear factor (NF) κB signaling activities in cervical cancer cells. Therefore, the enhanced migration, invasion, and angiogenesis induced by MACC1 probably resulted from enhanced AKT and NF-κB activity. Angiogenesis is central to cervical cancer growth and metastasis.27 It has been documented that angiogenesis plays essential roles in both primary tumor growth and spreading of tumor cells to distant organs.28 High levels of vascular endothelial growth factor in tumor microenvironment promote angiogenesis.29 In addition, MMP-2 and MMP-9, 2 major MMPs secreted from HeLa cells,30 are involved in angiogenesis, tumor growth, and metastasis through degradation of extracellular matrix and release and/or activation of growth factors, which finally results in cancer dissemination.31 Increased MMP activation has been found in cervical cancer, and multiple MMPs, including MMP-2 and MMP-9, are reported to be independent prognostic factors in cervical cancer and correlate with progression.32–34 Nuclear factor κB signal transduction cascade, required for angiogenesis, was frequently involved in tumor progression and dissemination.35 Compelling evidence has indicated that activated NF-κB is associated with the initiation and progression of cervical cancer.36–38 Nuclear factor κB is constitutively activated in high-grade and more invasive histologic grades of cervical cancer.39 Multiple downstream targets of NF-κB, such as vascular endothelial growth factor, MMPs, and cyclooxygenase-2 were shown to be significantly associated with worse prognosis or aggressive characteristics of cervical cancer.40 These studies demonstrate that NF-κB activation plays essential roles in cervical cancer progression. Nuclear factor κB signaling involves in angiogenesis and metastasis in human cancers probably through regulating vascular endothelial growth factors and MMPs.41,42 The MMP promoter is subject to a tight regulatory network involving NF-κB, which can in turn be activated by the AKT pathway.43,44 In the present study, we found that both MMP-2 and MMP-9 expressions were up-regulated by MACC1 in cervical cancer cells. We also showed that the AKT and NF-κB pathways were activated because p-AKT, p-IKKα/β, and p-P65 were up-regulated by MACC1. Therefore, the regulation of MMP-2 and MMP-9 by MACC1 probably resulted from enhanced AKT and NF-κB activity. This thus explains the enhanced migration, invasion, and angiogenesis induced by MACC1. However, whether MACC1 can directly regulate MMP-2 and MMP-9 expression by associated with their promoters needs further investigation. In conclusion, our findings suggest that up-regulation of MACC1 might be a valuable prognostic marker of cervical cancer progression. Altered expression of MACC1 could be important for progression of cervical cancer. Modulation of the tumor migration, invasion, and angiogenesis through inhibiting AKT or NF-κB activation mediated by MACC1 overexpression might be used as a potential target for cervical cancer therapy. However, the underlying mechanism through which MACC1 might activate AKT or NF-κB pathways needs further investigation.
  44 in total

Review 1.  Control of oncogenesis and cancer therapy resistance by the transcription factor NF-kappaB.

Authors:  A S Baldwin
Journal:  J Clin Invest       Date:  2001-02       Impact factor: 14.808

Review 2.  The Met pathway: master switch and drug target in cancer progression.

Authors:  Massimiliano Mazzone; Paolo M Comoglio
Journal:  FASEB J       Date:  2006-08       Impact factor: 5.191

3.  MACC1 supports human gastric cancer growth under metabolic stress by enhancing the Warburg effect.

Authors:  L Lin; H Huang; W Liao; H Ma; J Liu; L Wang; N Huang; Y Liao; W Liao
Journal:  Oncogene       Date:  2014-07-21       Impact factor: 9.867

4.  MACC1 overexpression predicts a poor prognosis for non-small cell lung cancer.

Authors:  Zhiqiang Wang; Zhi Li; Chen Wu; Yonggong Wang; Yang Xia; Liang Chen; Quan Zhu; Yijiang Chen
Journal:  Med Oncol       Date:  2013-12-06       Impact factor: 3.064

5.  Molecular diagnosis of MACC1 status in lung adenocarcinoma by immunohistochemical analysis.

Authors:  Gu Chundong; Hidetaka Uramoto; Takamitsu Onitsuka; Hidehiko Shimokawa; Takashi Iwanami; Makoto Nakagawa; Tsunehiro Oyama; Fumihiro Tanaka
Journal:  Anticancer Res       Date:  2011-04       Impact factor: 2.480

Review 6.  The role of matrix metalloproteinases in tumor angiogenesis and tumor metastasis.

Authors:  A John; G Tuszynski
Journal:  Pathol Oncol Res       Date:  2001       Impact factor: 3.201

7.  Association of constitutive nuclear factor-kappaB activation with aggressive aspects and poor prognosis in cervical cancer.

Authors:  Jinke Li; Haijun Jia; Lingxia Xie; Xuedong Wang; Xia Wang; Haining He; Yong Lin; Lina Hu
Journal:  Int J Gynecol Cancer       Date:  2009-11       Impact factor: 3.437

8.  High glucose enhances MMP-2 production in adventitial fibroblasts via Akt1-dependent NF-kappaB pathway.

Authors:  Seung Jin Lee; Sun Sik Bae; Koan Hoi Kim; Won Suk Lee; Byung Yong Rhim; Ki Whan Hong; Chi Dae Kim
Journal:  FEBS Lett       Date:  2007-08-03       Impact factor: 4.124

9.  NF-kappaB is constitutively activated in high-grade squamous intraepithelial lesions and squamous cell carcinomas of the human uterine cervix.

Authors:  Asha Nair; Manickam Venkatraman; Tessy T Maliekal; Balaraman Nair; Devarajan Karunagaran
Journal:  Oncogene       Date:  2003-01-09       Impact factor: 9.867

10.  Identification of MACC1 as a novel prognostic marker in hepatocellular carcinoma.

Authors:  Jiliang Qiu; Pinzhu Huang; Qian Liu; Jian Hong; Binkui Li; Canliang Lu; Li Wang; Jianping Wang; Yunfei Yuan
Journal:  J Transl Med       Date:  2011-09-29       Impact factor: 5.531

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  14 in total

1.  MicroRNA-877 is downregulated in cervical cancer and directly targets MACC1 to inhibit cell proliferation and invasion.

Authors:  Fanxu Meng; Jian Ou; Jinyu Liu; Xindi Li; Yanli Meng; Ling Yan; Ping Deng; Baosheng Sun
Journal:  Exp Ther Med       Date:  2019-09-09       Impact factor: 2.447

2.  MACC1 upregulation promotes gastric cancer tumor cell metastasis and predicts a poor prognosis.

Authors:  Qiu-Ping Xie; Cheng Xiang; Gang Wang; Ke-Feng Lei; Yong Wang
Journal:  J Zhejiang Univ Sci B       Date:  2016-05       Impact factor: 3.066

3.  Combined detection of Twist1, Snail1 and squamous cell carcinoma antigen for the prognostic evaluation of invasion and metastasis in cervical squamous cell carcinoma.

Authors:  Huilun Yang; Haiyang Hu; Yanling Gou; Yuhong Hu; Hui Li; Hongwei Zhao; Beidi Wang; Peiling Li; Zongfeng Zhang
Journal:  Int J Clin Oncol       Date:  2017-11-03       Impact factor: 3.402

4.  MACC1 Is Associated With Epithelial-Mesenchymal Transition and Can Predict Poor Prognosis in Nasopharyngeal Carcinoma.

Authors:  Hao Cheng; Linxiang Zhou; Yalan Long; Juanjuan Xiang; Longhua Chen
Journal:  Front Oncol       Date:  2021-03-29       Impact factor: 6.244

5.  A new mechanism of trastuzumab resistance in gastric cancer: MACC1 promotes the Warburg effect via activation of the PI3K/AKT signaling pathway.

Authors:  Jing Liu; Changqie Pan; Lihong Guo; Mengwan Wu; Jing Guo; Sheng Peng; Qianying Wu; Qiang Zuo
Journal:  J Hematol Oncol       Date:  2016-08-31       Impact factor: 17.388

6.  Prognostic Impact of Modulators of G proteins in Circulating Tumor Cells from Patients with Metastatic Colorectal Cancer.

Authors:  Jorge Barbazan; Ying Dunkel; Hongying Li; Ulrich Nitsche; Klaus-Peter Janssen; Karen Messer; Pradipta Ghosh
Journal:  Sci Rep       Date:  2016-02-26       Impact factor: 4.379

7.  Lipid raft localization of epidermal growth factor receptor alters matrix metalloproteinase-1 expression in SiHa cells via the MAPK/ERK signaling pathway.

Authors:  Zongfeng Zhang; Lina Wang; Juan Du; Yuanbo Li; Huilun Yang; Chenxi Li; Hui Li; Haiyang Hu
Journal:  Oncol Lett       Date:  2016-10-24       Impact factor: 2.967

8.  MACC1 promotes angiogenesis in cholangiocarcinoma by upregulating VEGFA.

Authors:  Tao Peng; Zhonghu Li; Dajiang Li; Shuguang Wang
Journal:  Onco Targets Ther       Date:  2019-03-08       Impact factor: 4.147

9.  Genetic Variation in Metastasis-Associated in Colon Cancer-1 and the Risk of Breast Cancer Among the Chinese Han Population: A STROBE-Compliant Observational Study.

Authors:  Zhi-Jun Dai; Xing-Han Liu; Hua-Feng Kang; Xi-Jing Wang; Tian-Bo Jin; Shu-Qun Zhang; Tian Feng; Xiao-Bin Ma; Meng Wang; Yan-Jing Feng; Kang Liu; Peng Xu; Hai-Tao Guan
Journal:  Medicine (Baltimore)       Date:  2016-02       Impact factor: 1.817

Review 10.  Biomarkers could facilitate prediction of worse clinical outcome of cancer with special insight to cervical cancer.

Authors:  Bartosz Czerniak; Dorota Olszewska-Słonina
Journal:  Contemp Oncol (Pozn)       Date:  2018-04-03
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