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Tumor angiogenesis is a hallmark of cancer that has been identified as a critical component of cancer progression, facilitating rapid tumor growth and metastasis.
It is possible that miR-200 levels are differentially regulated at different times in tumor progression, facilitating distinct outcomes.
E-cadherin down-regulation is apparently important in cancer progression, facilitating cell detachment and metastasis.
This process generates several 5′ ends primer-template junctions, as it is the case for normal fork progression, facilitating the binding of the 9-1-1 complex.
Furthermore, improved analytical measurement sensitivity may offer tools to detect and quantify disease markers at earlier stages of progression, facilitating more timely treatment and improved outcome.
EMT, an essential process in development, is presently considered a key event in tumor progression, facilitating the dissemination of tumor cells and the acquisition of migratory properties that provides tumor cells the ability to invade the adjacent tissues (Thiery et al., 2009).
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Their remarkable progression, facilitated by the use of different device architectures, compositional engineering, and processing methodologies, contrasts with the lack of understanding of the materials properties and interface phenomena.
The generation and release of fragmented molecules could generate novel biochemical markers with the capacity to monitor disease progression, facilitate drug development and add to the existing toolbox for in vitro studies, preclinical research and clinical trials.
Similar comparative analysis of cancer cell phylogenies could reveal which molecular changes occurring during neoplastic progression facilitate the development of invasive, metastatic and resistant cell phenotypes.
The strong association of tumour classification with metastatic progression facilitates molecular prognostic testing of patients by either chromosome 3 testing or GEP, and studies have shown that the majority of patients want to know their risk of developing metastasis even though no treatment options currently exist (Beran et al, 2009; Damato and Coupland, 2009).
Automatic quantification of GA is important for determining disease progression and facilitating clinical diagnosis of AMD.
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