Detection of Cancer Stem Cells from Patient Samples

dc.contributor.authorHakala, Sofia
dc.contributor.authorHämäläinen, Anna
dc.contributor.authorSandelin, Sanne
dc.contributor.authorGiannareas, Nikolaos
dc.contributor.authorNärva, Elisa
dc.contributor.organizationfi=biolääketieteen laitos|en=Institute of Biomedicine|
dc.contributor.organizationfi=tyks, vsshp|en=tyks, varha|
dc.contributor.organization-code1.2.246.10.2458963.20.77952289591
dc.converis.publication-id485146757
dc.converis.urlhttps://research.utu.fi/converis/portal/Publication/485146757
dc.date.accessioned2025-08-28T01:44:00Z
dc.date.available2025-08-28T01:44:00Z
dc.description.abstractThe existence of cancer stem cells (CSCs) in various tumors has become increasingly clear in addition to their prominent role in therapy resistance, metastasis, and recurrence. For early diagnosis, disease progression monitoring, and targeting, there is a high demand for clinical-grade methods for quantitative measurement of CSCs from patient samples. Despite years of active research, standard measurement of CSCs has not yet reached clinical settings, especially in the case of solid tumors. This is because detecting this plastic heterogeneous population of cells is not straightforward. This review summarizes various techniques, highlighting their benefits and limitations in detecting CSCs from patient samples. In addition, methods designed to detect CSCs based on secreted and niche-associated signaling factors are reviewed. Spatial and single-cell methods for analyzing patient tumor tissues and noninvasive techniques such as liquid biopsy and in vivo imaging are discussed. Additionally, methods recently established in laboratories, preclinical studies, and clinical assays are covered. Finally, we discuss the characteristics of an ideal method as we look toward the future.
dc.identifier.eissn2073-4409
dc.identifier.jour-issn2073-4409
dc.identifier.olddbid207974
dc.identifier.oldhandle10024/191001
dc.identifier.urihttps://www.utupub.fi/handle/11111/57370
dc.identifier.urlhttps://doi.org/10.3390/cells14020148
dc.identifier.urnURN:NBN:fi-fe2025082787838
dc.language.isoen
dc.okm.affiliatedauthorHakala, Sofia
dc.okm.affiliatedauthorHämäläinen, Anna
dc.okm.affiliatedauthorSandelin, Sanne
dc.okm.affiliatedauthorGiannareas, Nikolaos
dc.okm.affiliatedauthorNärvä, Elisa
dc.okm.affiliatedauthorDataimport, tyks, vsshp
dc.okm.discipline3122 Cancersen_GB
dc.okm.discipline3122 Syöpätauditfi_FI
dc.okm.internationalcopublicationnot an international co-publication
dc.okm.internationalityInternational publication
dc.okm.typeA2 Scientific Article
dc.publisherMDPI AG
dc.publisher.countrySwitzerlanden_GB
dc.publisher.countrySveitsifi_FI
dc.publisher.country-codeCH
dc.publisher.placeBASEL
dc.relation.articlenumber148
dc.relation.doi10.3390/cells14020148
dc.relation.ispartofjournalCells
dc.relation.issue2
dc.relation.volume14
dc.source.identifierhttps://www.utupub.fi/handle/10024/191001
dc.titleDetection of Cancer Stem Cells from Patient Samples
dc.year.issued2025

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