Detection of Cancer Stem Cells from Patient Samples
The 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 q...
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| Format: | Article |
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MDPI AG
2025-01-01
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| Series: | Cells |
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| Online Access: | https://www.mdpi.com/2073-4409/14/2/148 |
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| author | Sofia Hakala Anna Hämäläinen Sanne Sandelin Nikolaos Giannareas Elisa Närvä |
| author_facet | Sofia Hakala Anna Hämäläinen Sanne Sandelin Nikolaos Giannareas Elisa Närvä |
| author_sort | Sofia Hakala |
| collection | DOAJ |
| description | The 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. |
| format | Article |
| id | doaj-art-bfe402e99f8744ec9004f093f0bf5e59 |
| institution | Kabale University |
| issn | 2073-4409 |
| language | English |
| publishDate | 2025-01-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Cells |
| spelling | doaj-art-bfe402e99f8744ec9004f093f0bf5e592025-01-24T13:26:51ZengMDPI AGCells2073-44092025-01-0114214810.3390/cells14020148Detection of Cancer Stem Cells from Patient SamplesSofia Hakala0Anna Hämäläinen1Sanne Sandelin2Nikolaos Giannareas3Elisa Närvä4Institute of Biomedicine and FICAN West Cancer Centre Laboratory, University of Turku and Turku University Hospital, FI-20520 Turku, FinlandInstitute of Biomedicine and FICAN West Cancer Centre Laboratory, University of Turku and Turku University Hospital, FI-20520 Turku, FinlandInstitute of Biomedicine and FICAN West Cancer Centre Laboratory, University of Turku and Turku University Hospital, FI-20520 Turku, FinlandInstitute of Biomedicine and FICAN West Cancer Centre Laboratory, University of Turku and Turku University Hospital, FI-20520 Turku, FinlandInstitute of Biomedicine and FICAN West Cancer Centre Laboratory, University of Turku and Turku University Hospital, FI-20520 Turku, FinlandThe 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.https://www.mdpi.com/2073-4409/14/2/148cancer stem cell (CSC)diagnosticsimmunohistochemistry (IHC)multiplexcytometrysingle-cell RNA sequencing (scRNA-seq) |
| spellingShingle | Sofia Hakala Anna Hämäläinen Sanne Sandelin Nikolaos Giannareas Elisa Närvä Detection of Cancer Stem Cells from Patient Samples Cells cancer stem cell (CSC) diagnostics immunohistochemistry (IHC) multiplex cytometry single-cell RNA sequencing (scRNA-seq) |
| title | Detection of Cancer Stem Cells from Patient Samples |
| title_full | Detection of Cancer Stem Cells from Patient Samples |
| title_fullStr | Detection of Cancer Stem Cells from Patient Samples |
| title_full_unstemmed | Detection of Cancer Stem Cells from Patient Samples |
| title_short | Detection of Cancer Stem Cells from Patient Samples |
| title_sort | detection of cancer stem cells from patient samples |
| topic | cancer stem cell (CSC) diagnostics immunohistochemistry (IHC) multiplex cytometry single-cell RNA sequencing (scRNA-seq) |
| url | https://www.mdpi.com/2073-4409/14/2/148 |
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