346389

MACC1

metastasis associated in colon cancer 1;MACC1;metastasis associated in colon cancer 1

SH3 domain-containing protein 7a5|metastasis-associated in colon cancer protein 1|putative binding protein 7a5

7p21.1

protein-coding

PURPOSE: We determined the gene copy numbers for MET, for its transcriptional activator MACC1 and for its ligand hepatocyte growth factor (HGF) in liver metastases from colorectal carcinoma (mCRC). We correlated copy numbers with mRNA levels and explored whether gain and/or overexpression of MET and MACC1 predict response to anti-Met therapies. Finally, we assessed whether their genomic or transcriptional deregulation correlates with pathologic and molecular parameters of aggressive disease. EXPERIMENTAL DESIGN: One hundred three mCRCs were analyzed. copy numbers and mRNA were determined by quantitative PCR (qPCR). Thirty nine samples were implanted and expanded in NOD (nonobese diabetic)/SCID (severe combined immunodeficient) mice to generate cohorts that were treated with the Met inhibitor JNJ-38877605. In silico analysis of MACC1 targets relied on genome-wide mapping of promoter regions and on expression data from two CRC datasets. RESULTS: No focal, high-grade amplifications of MET, MACC1, or HGF were detected. Chromosome 7 polysomy and gain of the p-arm were observed in 21% and 8% of cases, respectively, and significantly correlated with higher expression of both Met and MACC1. Met inhibition in patient-derived xenografts did not modify tumor growth. copy number gain and overexpression of MACC1 correlated with unfavorable pathologic features better than overexpression of Met. Bioinformatic analysis of putative MACC1 targets identified elements besides Met, whose overexpression cosegregated with aggressive forms of colorectal cancer. CONCLUSIONS: Experiments in patient-derived xenografts suggest that mCRCs do not rely on Met genomic gain and/or overexpression for growth. On the basis of pathologic correlations and bioinformatic analysis, MACC1 could contribute to CRC progression through mechanisms other than or additional to Met transcriptional upregulation.

PURPOSE: MET, the tyrosine kinase receptor for hepatocyte growth factor, is frequently overexpressed in colon cancers with high metastatic tendency. We aimed to evaluate the role of its negative regulators, miR-1 and miR-199a*, and its transcriptional activator, the metastasis-associated in colon cancer 1 (MACC1), in controlling MET expression in human colon cancer samples. EXPERIMENTAL DESIGN: The expression of MET, miR-1, miR-199a*, and MACC1 was evaluated by real-time PCR in 52 matched pairs of colorectal cancers and nontumoral surrounding tissues. The biological role of miR-1 in controlling MET expression and biological activity was assessed in colon cancer cells either by its forced expression or by AntagomiR-mediated inhibition. RESULTS: MiR-1 was downregulated in 84.6% of the tumors and its decrease significantly correlated with MET overexpression, particularly in metastatic tumors. We found that concurrent MACC1 upregulation and miR-1 downregulation are required to elicit the highest increase of MET expression. Consistent with a suppressive role of miR-1, its forced in vitro expression in colon cancer cells reduced MET levels and impaired MET-induced invasive growth. Finally, we identified a feedback loop between miR-1 and MET, resulting in their mutual regulation. CONCLUSIONS: This study identifies an oncosuppressive role of miR-1 in colorectal cancer in which it acts by controlling MET expression through a feedback loop. Concomitant downregulation of miR-1 and increase of MACC1 can thus contribute to MET overexpression and to the metastatic behavior of colon cancer cells.

BACKGROUND: Colorectal cancer is one of the main cancers in the Western world. About 90% of the deaths arise from formation of distant metastasis. The expression of the newly identified gene metastasis associated in colon cancer 1 (MACC1) is a prognostic indicator for colon cancer metastasis. Here, we analyzed for the first time the impact of single nucleotide polymorphisms (SNPs) in the coding region of MACC1 for clinical outcome of colorectal cancer patients. Additionally, we screened met proto-oncogene (Met), the transcriptional target gene of MACC1, for mutations. METHODS: We sequenced the coding exons of MACC1 in 154 colorectal tumors (stages I, II and III) and the crucial exons of Met in 60 colorectal tumors (stages I, II and III). We analyzed the association of MACC1 polymorphisms with clinical data, including metachronous metastasis, UICC stages, tumor invasion, lymph node metastasis and patients survival (n = 154, stages I, II and III). Furthermore, we performed biological assays in order to evaluate the functional impact of MACC1 SNPs on the motility of colorectal cancer cells. RESULTS: We genotyped three MACC1 SNPs in the coding region. Thirteen % of the tumors had the genotype cg (rs4721888, L31V), 48% a ct genotype (rs975263, S515L) and 84% a gc or cc genotype (rs3735615, R804T). We found no association of these SNPs with clinicopathological parameters or with patients survival, when analyzing the entire patients cohort. An increased risk for a shorter metastasis-free survival of patients with a ct genotype (rs975263) was observed in younger colon cancer patients with stage I or II (P = 0.041, n = 18). In cell culture, MACC1 SNPs did not affect MACC1-induced cell motility and proliferation. CONCLUSION: In summary, the identification of coding MACC1 SNPs in primary colorectal tumors does not improve the prediction for metastasis formation or for patients survival compared to MACC1 expression analysis alone. The ct genotype (rs975263) might be associated with a reduced survival for younger colon cancer patients in early stages. However, further studies with larger sample sizes are needed.

BACKGROUND: metastasis is the most frequent cause of treatment failure and death in colorectal cancer. Early detection of tumors and metastases is crucial for improving treatment strategies and patient outcome. Development of reliable biomarkers and simple tests routinely applicable in the clinic for detection, prognostication, and therapy monitoring is of special interest. We recently identified the novel gene metastasis-Associated in Colon cancer 1 (MACC1), a key regulator of the HGF/Met-pathway. MACC1 is a strong prognostic biomarker for colon cancer metastasis and allows identification of high-risk subjects in early stages, when determined in patients primary tumors. To overcome the limitation of a restricted number of molecular analyses in tumor tissue, the establishment of a non-invasive blood test for early identification of high-risk cancer patients, for monitoring disease course and therapy response is strongly needed. METHODOLOGY/PRINCIPAL FINDINGS: For the first time, we describe a non-invasive assay for quantification of circulating MACC1 transcripts in blood of more than 300 colorectal cancer patients. MACC1 transcript levels are increased in all disease stages of the cancer patients compared to tumor-free volunteers. Highest MACC1 levels were determined in individuals with metastases (all P<0.05). Importantly, high MACC1 levels correlate with unfavorable survival (P<.0001). Combining MACC1 with circulating transcripts of the metastasis gene S100A4, a transcriptional target of the Wnt/beta-catenin-pathway, improves survival prediction for newly diagnosed cancer patients. CONCLUSION/SIGNIFICANCE: This blood-based assay for circulating MACC1 transcripts, which can be quantitated on a routine basis, is clinically applicable for diagnosis, prognosis, and therapeutic monitoring of cancer patients. Here we demonstrate the diagnostic and prognostic value of circulating MACC1 transcripts in patient plasma for metastasis and survival. Since MACC1 represents a promising target for anti-metastatic therapies, circulating MACC1 transcripts may prove to be an ideal read-out for monitoring therapeutic response of future interventions targeting MACC1-induced metastasis in cancer patients.

OBJECTIVE: Upon colon cancer metastasis resection in liver, disease outcome is heterogeneous, ranging from indolent to very aggressive, with early recurrence. The aim of this study is to investigate the capability of metastasis associated in colon cancer 1 (MACC1) levels measured in liver metastasis specimens to predict further recurrence of the disease. METHODS: Gene expression and gene dosage of MACC1, hepatocyte growth factor (HGF), and hepatocyte growth factor receptor (MET) were assessed using quantitative realtime polymerase chain reaction on a cohort of 64 liver metastasis samples from patients with complete follow-up of 36 months and detailed clinical annotation. The most relevant mutations associated to prognosis in colorectal cancer, KRAS, and PIK3CA were assessed on the same specimens with Sanger sequencing. RESULTS: Receiver operating characteristic (ROC) analysis revealed that MACC1 mRNA abundance is a good indicator of metastatic recurrence (AUC = 0.65, P < 0.05), whereas no such results were obtained with MET and HGF, nor with gene dosage. Generation of MACC1-based risk classes was capable of successfully separating patients into poor and good prognosis subgroups [hazard ratio (HR) = 5.236, 95% confidence interval (CI) = 1.2068-22.715, P < 0.05]. Also KRAS mutation was significantly associated with higher risk of recurrence (HR = 2.07, 95% CI = 1.048-4.09, P < 0.05). Cox regression multivariate analysis supported the independence of MACC1, but not KRAS, from known prognostic clinical information (Node Size HR = 3.155, 95% CI = 1.4418-6.905, P < 0.001, Preoperative carcinoembryonic antigen HR = 2.359, 95% CI = 1.0203-5.452, P < 0.05, MACC1 HR = 7.2739, 95% CI = 1.6584-31.905, P < 0.01). CONCLUSIONS: MACC1, a new easily detectable biomarker in cancer, is an independent prognostic factor of recurrence after liver resection of colorectal cancer metastasis.

BACKGROUND: It has been proven that metastasis-associated in colon cancer 1 (MACC1) is a new gene that is related to the invasion and metastasis of tumors. MACC1 also regulates c-met expression. The aim of this study is to explore the expressions of MACC1 and hepatocyte growth factor receptor (c-met), and its relationship with invasion, metastasis, and prognosis of non-small cell lung cancer (NSCLC). METHODS: MACC1 and c-met expressions were detected in 103 cases of NSCLC and 40 cases of neighboring normal lung cancer tissue using immunohistochemistry. RESULTS: MACC1 and c-met expressions were significantly higher in lung cancer tissues than that in neighboring normal tissue (P<0.001). MACC1 and c-met expressions were associated with poor differentiation, advanced T stages, lymph node metastasis, and advanced TNM stages (P<0.05) of NSCLC, but not with sex, age, smoking, and histological classification (P>0.05). In addition, a positive correlation between MACC1 and c-met expressions was observed (r=0.403, P<0.001). The result from the Kaplan-Meier survival analysis showed that the five-year survival rate in patients with positive MACC1 and c-met expressions was remarkanly lower than that in patients with negative expressions (P<0.05). The result from the Cox regression analysis showed that MACC1 expression was an independent prognostic factor for NSCLC (P=0.026). CONCLUSIONS: MACC1 and c-met have an important function in the differentiation, invasion, and metastasis of NSCLC. MACC1 and c-met have poor prognosis in patients with NSCLC. Moreover, MACC1 expression is an independent prognostic factor for NSCLC.

The expression of metastasis-associated in colon cancer-1 (MACC1) in non-small cell lung cancer (NSCLC) and its association with pathological characteristics and prognosis for NSCLC patients were investigated retrospectively. The expression of MACC1 was evaluated through immunohistochemical staining of tissue microarrays from 180 samples of resected lung cancer tissues and adjacent normal lung tissues. MACC1 protein and mRNA expression were also examined from lung cancer cell lines with different metastatic potentials, 28 pairs of samples of resected fresh non-small cell lung cancer tissues, and adjacent normal lung tissues. Immunohistochemical staining of tissue microarrays showed that MACC1 was located in the cytoplasm. In addition, the expression of MACC1 protein in NSCLC was significantly higher compared to adjacent normal tissues (P < 0.001). The expression of MACC1 was positively associated with differentiation grade (P = 0.020), postoperative pathological TNM stage (P = 0.033), and lymph node metastasis (P = 0.028). Disease-free survival (DFS) and overall survival (OS) for the high MACC1 expression group were lower than the low expression group; univariate and multivariate regression analyses showed that MACC1 was an independent prognostic indicator for DFS (HR 3.124, P = 0.01) and OS (HR 2.905, P = 0.01) in NSCLC patients. The expression of MACC1 protein and mRNA was also upregulated in highly metastatic human lung cancer. In conclusion, the overexpression of MACC1 protein and mRNA may represent a potentially useful biomarker for the prognosis of NSCLC patients and might be involved in progression of NSCLC.