2020
DOI: 10.1186/s12976-020-00126-7
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Computational models of melanoma

Abstract: Genes, proteins, or cells influence each other and consequently create patterns, which can be increasingly better observed by experimental biology and medicine. Thereby, descriptive methods of statistics and bioinformatics sharpen and structure our perception. However, additionally considering the interconnectivity between biological elements promises a deeper and more coherent understanding of melanoma. For instance, integrative network-based tools and well-grounded inductive in silico research reveal disease… Show more

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Cited by 15 publications
(5 citation statements)
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References 173 publications
(219 reference statements)
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“…The impact of the underlying anatomy such as vasculature and local lymphatic system has not been thoroughly investigated for their influence on the pathogenesis of BCCs and melanomas. In recent years, there have been advancements in various in silico, in vitro and in vivo techniques such as vasculature-on-chip devices 19 and computational models 20,21 which may enable us to test some of these hypotheses. Further investigations such as computational modelling of skin cancer progression and cancer-on-chip are still required to elucidate the underlying mechanisms to explain the observed heterogeneity of these tumours.…”
Section: Discussionmentioning
confidence: 99%
“…The impact of the underlying anatomy such as vasculature and local lymphatic system has not been thoroughly investigated for their influence on the pathogenesis of BCCs and melanomas. In recent years, there have been advancements in various in silico, in vitro and in vivo techniques such as vasculature-on-chip devices 19 and computational models 20,21 which may enable us to test some of these hypotheses. Further investigations such as computational modelling of skin cancer progression and cancer-on-chip are still required to elucidate the underlying mechanisms to explain the observed heterogeneity of these tumours.…”
Section: Discussionmentioning
confidence: 99%
“…However, comparative analysis between primary and metastatic samples is still challenging due to the lack of standardization among different institutions. Therefore, several points must be evaluated before choosing an online tool and study, and in silico platforms still require functional validation of the findings in vitro or in vivo models [ 63 , 64 ].…”
Section: Innovative Models For Future Rare Melanoma Researchmentioning
confidence: 99%
“…The use of computational approaches for anticancer drug discovery and development has become increasingly popular in the last few decades [48]. Computational tools require the implementation of an interdisciplinary approach, where mathematical and computational methods provide new and useful information [49,50]. For instance, the FDA-approved binimetinib and encorafenib antimelanoma drugs benefited from in silico methods during their development [51].…”
Section: In Silico Modelsmentioning
confidence: 99%