Show simple item record

dc.contributor.authorAscolani, Gianluca
dc.contributor.authorOcchipinti, Annalisa
dc.contributor.authorLiò, Pietro
dc.date.accessioned2018-11-13T00:31:36Z
dc.date.available2018-11-13T00:31:36Z
dc.date.issued2015-05
dc.identifier.issn1553-734X
dc.identifier.urihttps://www.repository.cam.ac.uk/handle/1810/284994
dc.description.abstractDuctal carcinoma is one of the most common cancers among women, and the main cause of death is the formation of metastases. The development of metastases is caused by cancer cells that migrate from the primary tumour site (the mammary duct) through the blood vessels and extravasating they initiate metastasis. Here, we propose a multi-compartment model which mimics the dynamics of tumoural cells in the mammary duct, in the circulatory system and in the bone. Through a branching process model, we describe the relation between the survival times and the four markers mainly involved in metastatic breast cancer (EPCAM, CD47, CD44 and MET). In particular, the model takes into account the gene expression profile of circulating tumour cells to predict personalised survival probability. We also include the administration of drugs as bisphosphonates, which reduce the formation of circulating tumour cells and their survival in the blood vessels, in order to analyse the dynamic changes induced by the therapy. We analyse the effects of circulating tumour cells on the progression of the disease providing a quantitative measure of the cell driver mutations needed for invading the bone tissue. Our model allows to design intervention scenarios that alter the patient-specific survival probability by modifying the populations of circulating tumour cells and it could be extended to other cancer metastasis dynamics.
dc.format.mediumElectronic-eCollection
dc.languageeng
dc.publisherPublic Library of Science (PLoS)
dc.rightsAttribution 4.0 International
dc.rights.urihttps://creativecommons.org/licenses/by/4.0/
dc.subjectHumans
dc.subjectCarcinoma, Ductal, Breast
dc.subjectBreast Neoplasms
dc.subjectDisease Progression
dc.subjectTransforming Growth Factor beta
dc.subjectSurvival Rate
dc.subjectGene Expression Profiling
dc.subjectModels, Biological
dc.subjectComputer Simulation
dc.subjectFemale
dc.subjectNeoplastic Cells, Circulating
dc.subjectKaplan-Meier Estimate
dc.subjectBiomarkers, Tumor
dc.titleModelling circulating tumour cells for personalised survival prediction in metastatic breast cancer.
dc.typeArticle
prism.issueIdentifier5
prism.publicationDate2015
prism.publicationNamePLoS Comput Biol
prism.startingPagee1004199
prism.volume11
dc.identifier.doi10.17863/CAM.32365
dcterms.dateAccepted2015-02-16
rioxxterms.versionofrecord10.1371/journal.pcbi.1004199
rioxxterms.licenseref.urihttp://www.rioxx.net/licenses/all-rights-reserved
rioxxterms.licenseref.startdate2015-05-15
dc.contributor.orcidLio, Pietro [0000-0002-0540-5053]
dc.identifier.eissn1553-7358
rioxxterms.typeJournal Article/Review
cam.issuedOnline2015-05-15


Files in this item

Thumbnail

This item appears in the following Collection(s)

Show simple item record

Attribution 4.0 International
Except where otherwise noted, this item's licence is described as Attribution 4.0 International