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The current landscape of spatial biomarkers for prediction of response to immune checkpoint inhibition.

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cris.virtual.author-orcid0000-0001-6741-3000
cris.virtualsource.author-orcid337383ee-b9db-4e9d-9bbf-a6424ffbc373
cris.virtualsource.author-orciddeb271ea-3c6d-400a-94d5-5c5c4aefded0
cris.virtualsource.author-orcid287b1a79-f033-4b89-920d-b6c662eb1f01
cris.virtualsource.author-orcid3c6bcc7e-9565-4d14-be6a-9081c311c6bf
cris.virtualsource.author-orcid6c84719c-dd7a-4678-aa8a-1b4f99d3856a
datacite.rightsopen.access
dc.contributor.authorWilliams, Hannah Louise
dc.contributor.authorFrei, Ana Leni
dc.contributor.authorKoessler, Thibaud
dc.contributor.authorBerger, Martin Dave
dc.contributor.authorDawson, Heather
dc.contributor.authorMichielin, Olivier
dc.contributor.authorZlobec, Inti
dc.date.accessioned2024-10-26T18:42:37Z
dc.date.available2024-10-26T18:42:37Z
dc.date.issued2024-08-13
dc.description.abstractEnabling the examination of cell-cell relationships in tissue, spatially resolved omics technologies have revolutionised our perspectives on cancer biology. Clinically, the development of immune checkpoint inhibitors (ICI) has advanced cancer therapeutics. However, a major challenge of effective implementation is the identification of predictive biomarkers of response. In this review we examine the potential added predictive value of spatial biomarkers of response to ICI beyond current clinical benchmarks.
dc.description.sponsorshipInstitut für Gewebemedizin und Pathologie - Digitale Pathologie
dc.description.sponsorshipUniversitätsklinik für Medizinische Onkologie
dc.description.sponsorshipInstitut für Gewebemedizin und Pathologie - Forschung Ärzte
dc.identifier.doi10.48350/199684
dc.identifier.pmid39138341
dc.identifier.publisherDOI10.1038/s41698-024-00671-1
dc.identifier.urihttps://boris-portal.unibe.ch/handle/20.500.12422/179735
dc.language.isoen
dc.publisherSpringer Nature
dc.relation.ispartofNPJ precision oncology
dc.relation.issn2397-768X
dc.relation.organizationInstitute of Tissue Medicine and Pathology, Clinical Pathology
dc.relation.organizationInstitute of Tissue Medicine and Pathology
dc.relation.organizationClinic of Medical Oncology
dc.relation.schoolGraduate School for Cellular and Biomedical Sciences (GCB)
dc.subject.ddc500 - Science::570 - Life sciences; biology
dc.subject.ddc600 - Technology::610 - Medicine & health
dc.titleThe current landscape of spatial biomarkers for prediction of response to immune checkpoint inhibition.
dc.typearticle
dspace.entity.typePublication
dspace.file.typetext
oaire.citation.issue1
oaire.citation.startPage178
oaire.citation.volume8
oairecerif.author.affiliationInstitut für Gewebemedizin und Pathologie - Digitale Pathologie
oairecerif.author.affiliationInstitut für Gewebemedizin und Pathologie - Digitale Pathologie
oairecerif.author.affiliationUniversitätsklinik für Medizinische Onkologie
oairecerif.author.affiliationInstitut für Gewebemedizin und Pathologie - Forschung Ärzte
oairecerif.author.affiliationInstitut für Gewebemedizin und Pathologie - Digitale Pathologie
oairecerif.author.affiliation2Institut für Gewebemedizin und Pathologie
oairecerif.author.affiliation2Institut für Gewebemedizin und Pathologie
oairecerif.author.affiliation2Institut für Gewebemedizin und Pathologie - Klinische Pathologie
oairecerif.author.affiliation2Institut für Gewebemedizin und Pathologie
oairecerif.author.affiliation3Institut für Gewebemedizin und Pathologie
unibe.contributor.rolecreator
unibe.contributor.rolecreator
unibe.contributor.rolecreator
unibe.contributor.rolecreator
unibe.contributor.rolecreator
unibe.contributor.rolecreator
unibe.contributor.rolecreator
unibe.date.licenseChanged2024-08-14 07:26:52
unibe.description.ispublishedpub
unibe.eprints.legacyId199684
unibe.journal.abbrevTitleNPJ PRECIS ONCOL
unibe.refereedtrue
unibe.subtype.articlereview

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