Expression of matrix metalloproteinase 8 (MMP-8) and tyrosinase-related protein-1 (TYRP-1) correlates with the absence of metastasis in an isogenic human breast cancer model

Agarwal, Dianne; Goodison, Steve; Nicholson, Benjamin; Tarin, David; Urquidi, Virginia

doi:10.1046/j.1432-0436.2003.710202.x

Cited by 70 publications

(72 citation statements)

References 34 publications

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“…These isogeneic cell lines constitute a stable and accessible model for the identification of genes involved in the process of tumor metastasis. We have performed multiple comparative analyses of these paired cell lines, including cytogenetic analyses and evaluation of global gene expression [55,[57][58][59]. To further elucidate the extent of the molecular changes associated with acquisition of the metastatic phenotype in this model, we have recently employed a panel of proteomic profiling approaches to the model.…”

Section: Proteomic Profiling Of Models Of Metastasismentioning

confidence: 99%

Breast tumor metastasis: analysis via proteomic profiling

Goodison¹,

Urquidi²

2008

Expert Review of Proteomics

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The ability to predict the metastatic behavior of a patient's cancer, as well as to detect and eradicate such recurrences, remain major clinical challenges in oncology. While many potential molecular biomarkers have been identified and tested previously, none have greatly improved the accuracy of specimen evaluation over routine histopathological criteria and, to date, they predict individual outcomes poorly. The ongoing development of high-throughput proteomic profiling technologies is opening new avenues for the investigation of cancer and, through application in tissue-based studies and animal models, will facilitate the identification of molecular signatures that are associated with breast tumor cell phenotype. The appropriate use of these approaches has the potential to provide efficient biomarkers, and to improve our knowledge of tumor biology. This, in turn, will enable the development of targeted therapeutics aimed at ameliorating the lethal dissemination of breast cancer. In this review, we focus on the accumulating proteomic signatures of breast tumor progression, particularly those that correlate with the occurrence of distant metastases, and discuss some of the expected future developments in the field.

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Section: Proteomic Profiling Of Models Of Metastasismentioning

confidence: 99%

Breast tumor metastasis: analysis via proteomic profiling

Goodison¹,

Urquidi²

2008

Expert Review of Proteomics

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“…A saturated CHCA in 50% acetonitrile and 1% TFA was diluted to a 1:4 ratio (v/v) in 50% acetonitrile and 1% TFA. Angiotensin I, ACTH (1)(2)(3)(4)(5)(6)(7)(8)(9)(10)(11)(12)(13)(14)(15)(16)(17), and ACTH (18-39) were added to the 1:4 diluted matrix solution. The resulting matrix-standard solution was vortexed.…”

Section: Maldi Sample Preparation-mentioning

confidence: 99%

“…We have performed initial characterization of the paired cell lines, including cytogenetic analyses and evaluation of the expression of a number of gene products previously implicated in cellular transformation and metastasis [2,4,5]. Recent technological advances facilitate highthroughput analyses to identify patterns of gene expression involved in complex biological processes.…”

Section: Introductionmentioning

confidence: 99%

Identification of metastasis‐associated proteins in a human tumor metastasis model using the mass‐mapping technique

et al. 2004

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For most cancer cell types, the acquisition of metastatic ability leads to clinically incurable disease. The identification of molecules whose expression is specifically correlated with the metastatic spread of cancer would facilitate the design of therapeutic interventions to inhibit this lethal process. In order to facilitate metastasis gene discovery we have previously characterized a pair of monoclonal cell lines from the human breast carcinoma cell line MDA-MB-435 that have different metastatic phenotypes in immune-compromised mice. In this study, serum-free conditioned media was collected from the cultured monoclonal cell lines and a mass mapping technique was applied in order to profile a component of each cell line proteome. We utilized chromatofocusing in the first dimension to obtain a high resolution separation based on protein pI, and nonporous silica reverse-phase high performance liquid chromatography was used for the second dimension. Selected proteins were identified on the basis of electrospray ionization time of flight mass spectrometry (ESI-TOF MS) intact protein mapping and matrix-assisted laser desorption/ionization time of flight mass spectrometry (MALDI-TOF MS) peptide mass fingerprinting. Using this approach we were able to map over 400 proteins and plot them as a 2-D map of pI versus accurate M r . This was performed over a pI range of 4.0-6.2, and a mass range of 6-80 kDa. ESI-TOF MS data and further analysis using MALDI-TOF MS confirmed and identified 27 differentially expressed proteins. Proteins associated with the metastatic phenotype included osteopontin and extracellular matrix protein 1, whereas the matrix metalloproteinase-1 and annexin 1 proteins were associated with the non-metastatic phenotype. These findings demonstrate that the mass mapping technique is a powerful tool for the detection and identification of proteins in complex biological samples and which are specifically associated with a cellular phenotype.

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“…Secondly, in two cell lines derived from wild-type MDA-MB-435 cancer cells, which display high (M-4A4) or low (NM-2C5) metastatic capacities, overexpression of MMP-8 would reduce the metastatic capacity of M-4A4 cells, whereas knockdown of MMP-8 gene would enhance the metastatic capacity of NM-2C5 cells (26,27). Thirdly, the rs11225395 C-799T single-nucleotide polymorphism (SNP) at the MMP8 promoter region may affect the expression levels of MMP-8 and associate with early-stage disease (28).…”

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confidence: 99%