Computational morphogenesis – Embryogenesis, cancer research and digital pathology

Overall survival benefits of cancer therapies have, in general, fallen short of what was expected from them. By examining the many parallels that exist between embryogenesis and carcinogenesis, we discuss how clinical and fundamental cancer research can benefit from computational morphogenesis (CM)...

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Bibliographic Details
Published inBioSystems Vol. 169-170; pp. 40 - 54
Main Authors Siregar, Pridi, Julen, Nathalie, Hufnagl, Peter, Mutter, George L.
Format Journal Article
LanguageEnglish
Published Ireland Elsevier B.V 01.07.2018
Subjects
Cancer research
Carcinogenesis
Carcinogenesis - pathology
Computational Biology
Computational morphogenesis (CM)
Digital pathology (DP)
Embryogenesis
Embryonic Development
Homeostasis
Humans
Image Processing, Computer-Assisted
Morphogenesis
Neoplasms - pathology
Embryogenesis
Computational morphogenesis (CM)
Cancer research
Carcinogenesis
Digital pathology (DP)
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Summary:Overall survival benefits of cancer therapies have, in general, fallen short of what was expected from them. By examining the many parallels that exist between embryogenesis and carcinogenesis, we discuss how clinical and fundamental cancer research can benefit from computational morphogenesis (CM) insofar as carcinogenesis is causally related to altered mechanisms underlying embryogenesis and post-embryonic tissue homeostasis. We also discuss about the critical role played by digital pathology (DP) since it constitutes the main source of data for the model-fitting and validation of CM-generated virtual tissues. Conversely, we outline how CM can provide support to DP by generating annotated synthetic 2D and 3D data that can be fed into machine-learning methods dedicated to the automated diagnosis of DP slides.
ISSN:0303-2647
1872-8324
DOI:10.1016/j.biosystems.2018.05.006