| Literature DB >> 22822400 |
Agnès Noël1, Ana Gutiérrez-Fernández, Nor Eddine Sounni, Niels Behrendt, Erik Maquoi, Ida K Lund, Santiago Cal, Gunilla Hoyer-Hansen, Carlos López-Otín.
Abstract
Processes such as cell proliferation, angiogenesis, apoptosis, or invasion are strongly influenced by the surrounding microenvironment of the tumor. Therefore, the ability to change these surroundings represents an important property through which tumor cells are able to acquire specific functions necessary for tumor growth and dissemination. Matrix metalloproteinases (MMPs) constitute key players in this process, allowing tumor cells to modify the extracellular matrix (ECM) and release cytokines, growth factors, and other cell-surface molecules, ultimately facilitating protease-dependent tumor progression. Remodeling of the ECM by collagenolytic enzymes such as MMP1, MMP8, MMP13, or the membrane-bound MT1-MMP as well as by other membrane-anchored proteases is required for invasion and recruitment of novel blood vessels. However, the multiple roles of the MMPs do not all fit into a simple pattern. Despite the pro-tumorigenic function of certain metalloproteinases, recent studies have shown that other members of these families, such as MMP8 or MMP11, have a protective role against tumor growth and metastasis in animal models. These studies have been further expanded by large-scale genomic analysis, revealing that the genes encoding metalloproteinases, such as MMP8, MMP27, ADAM7, and ADAM29, are recurrently mutated in specific tumors, while several ADAMTSs are epigenetically silenced in different cancers. The importance of these proteases in modifying the tumor microenvironment highlights the need for a deeper understanding of how stroma cells and the ECM can modulate tumor progression.Entities:
Keywords: ADAM; cancer; matrix metalloproteinases; microenvironment; tumor
Year: 2012 PMID: 22822400 PMCID: PMC3398411 DOI: 10.3389/fphar.2012.00140
Source DB: PubMed Journal: Front Pharmacol ISSN: 1663-9812 Impact factor: 5.810
Figure 1Schematic representation of MMPs, MT-MMPs, ADAMs, and ADAMTSs.
Figure 2Schematic representation of the brake and booster functions of metalloproteinases. Recent advances in genomic and proteomic technologies have increased our knowledge on MMP contributions to different processes associated with tumor development such as tumor growth, angiogenesis, invasion and inflammation. Despite their implication in ECM remodeling and growth factor signaling that favor angiogenesis and boost tumor development, some metalloproteinases exert protective effects that brake the tumor development. Several cancer protective enzymes are silenced through epigenetic and genetic modifications in malignant cancer.
Lessons from the past, present advances, and future challenges for MMP inhibition in cancer.
| Strategies applied | Lessons learnt | |
|---|---|---|
| (non-exhaustive list) | No significant evidence of efficacy, and even adverse effects | |
| Zinc-binding MMPIs Mechanism-based MMPIs | Disconnection between promising preclinical studies and clinical trials, most of them being conducted in patients with late stage tumors | |
| Chemically modified tetracycline | Coussens et al. ( | |
| Shark cartilage extracts | ||
| Kleifeld et al. ( | ||
| (non-exhaustive list) | MMPs belong to a protease network ( | |
| Specific zinc-binding MMPIs | MMPs as cell regulators beyond matrix degradating enzymes | |
| MMPIs without zinc-binding groups | MMPs with intracellular activities | |
| Neutralizing antibodies toward recombinant enzymes Neutralizing antibodies toward catalytic zinc complex | MMPs as builders of the tumor microenvironment in primary and secondary sites (i.e., inflammation, angiogenesis, lymphangiogenesis) | |
| Non-catalytic hemopexin domain (PEX) inhibitors | MMPs with opposite functions depending on cancer type/stage | |
| Humanizing neutralizing monoclonal antibodies raised in | MMPs with tumor suppressive functions | |
| MMP knock-out mice | Lopez-Otin et al. ( | |
| Personalized therapy using selective MMPIs combined with other therapies, including kinase inhibitors | Design of efficient selective inhibitors Design of appropriate clinical trials and endpoints given the fact that MMP inhibitors are expected to be efficient at early stages Lopez-Otin and Hunter ( | |
| Identification of biomarkers with added values for clinical practice to predict or monitor drug response | ||
| Define which patients will benefit from a specific anti-MMP drug and at which disease stage | ||
| Fingleton ( | ||