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Deciphering the Biology of Circulating Tumor Cells through Single-Cell RNA Sequencing: Implications for Precision Medicine in Cancer
Circulating tumor cells (CTCs) hold unique biological characteristics that directly involve them in hematogenous dissemination. Studying CTCs systematically is technically challenging due to their extreme rarity and heterogeneity and the lack of specific markers to specify metastasis-initiating CTCs...
Autores principales: | , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2023
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10418766/ https://www.ncbi.nlm.nih.gov/pubmed/37569711 http://dx.doi.org/10.3390/ijms241512337 |
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author | Orrapin, Santhasiri Thongkumkoon, Patcharawadee Udomruk, Sasimol Moonmuang, Sutpirat Sutthitthasakul, Songphon Yongpitakwattana, Petlada Pruksakorn, Dumnoensun Chaiyawat, Parunya |
author_facet | Orrapin, Santhasiri Thongkumkoon, Patcharawadee Udomruk, Sasimol Moonmuang, Sutpirat Sutthitthasakul, Songphon Yongpitakwattana, Petlada Pruksakorn, Dumnoensun Chaiyawat, Parunya |
author_sort | Orrapin, Santhasiri |
collection | PubMed |
description | Circulating tumor cells (CTCs) hold unique biological characteristics that directly involve them in hematogenous dissemination. Studying CTCs systematically is technically challenging due to their extreme rarity and heterogeneity and the lack of specific markers to specify metastasis-initiating CTCs. With cutting-edge technology, single-cell RNA sequencing (scRNA-seq) provides insights into the biology of metastatic processes driven by CTCs. Transcriptomics analysis of single CTCs can decipher tumor heterogeneity and phenotypic plasticity for exploring promising novel therapeutic targets. The integrated approach provides a perspective on the mechanisms underlying tumor development and interrogates CTCs interactions with other blood cell types, particularly those of the immune system. This review aims to comprehensively describe the current study on CTC transcriptomic analysis through scRNA-seq technology. We emphasize the workflow for scRNA-seq analysis of CTCs, including enrichment, single cell isolation, and bioinformatic tools applied for this purpose. Furthermore, we elucidated the translational knowledge from the transcriptomic profile of individual CTCs and the biology of cancer metastasis for developing effective therapeutics through targeting key pathways in CTCs. |
format | Online Article Text |
id | pubmed-10418766 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | MDPI |
record_format | MEDLINE/PubMed |
spelling | pubmed-104187662023-08-12 Deciphering the Biology of Circulating Tumor Cells through Single-Cell RNA Sequencing: Implications for Precision Medicine in Cancer Orrapin, Santhasiri Thongkumkoon, Patcharawadee Udomruk, Sasimol Moonmuang, Sutpirat Sutthitthasakul, Songphon Yongpitakwattana, Petlada Pruksakorn, Dumnoensun Chaiyawat, Parunya Int J Mol Sci Review Circulating tumor cells (CTCs) hold unique biological characteristics that directly involve them in hematogenous dissemination. Studying CTCs systematically is technically challenging due to their extreme rarity and heterogeneity and the lack of specific markers to specify metastasis-initiating CTCs. With cutting-edge technology, single-cell RNA sequencing (scRNA-seq) provides insights into the biology of metastatic processes driven by CTCs. Transcriptomics analysis of single CTCs can decipher tumor heterogeneity and phenotypic plasticity for exploring promising novel therapeutic targets. The integrated approach provides a perspective on the mechanisms underlying tumor development and interrogates CTCs interactions with other blood cell types, particularly those of the immune system. This review aims to comprehensively describe the current study on CTC transcriptomic analysis through scRNA-seq technology. We emphasize the workflow for scRNA-seq analysis of CTCs, including enrichment, single cell isolation, and bioinformatic tools applied for this purpose. Furthermore, we elucidated the translational knowledge from the transcriptomic profile of individual CTCs and the biology of cancer metastasis for developing effective therapeutics through targeting key pathways in CTCs. MDPI 2023-08-02 /pmc/articles/PMC10418766/ /pubmed/37569711 http://dx.doi.org/10.3390/ijms241512337 Text en © 2023 by the authors. https://creativecommons.org/licenses/by/4.0/Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/). |
spellingShingle | Review Orrapin, Santhasiri Thongkumkoon, Patcharawadee Udomruk, Sasimol Moonmuang, Sutpirat Sutthitthasakul, Songphon Yongpitakwattana, Petlada Pruksakorn, Dumnoensun Chaiyawat, Parunya Deciphering the Biology of Circulating Tumor Cells through Single-Cell RNA Sequencing: Implications for Precision Medicine in Cancer |
title | Deciphering the Biology of Circulating Tumor Cells through Single-Cell RNA Sequencing: Implications for Precision Medicine in Cancer |
title_full | Deciphering the Biology of Circulating Tumor Cells through Single-Cell RNA Sequencing: Implications for Precision Medicine in Cancer |
title_fullStr | Deciphering the Biology of Circulating Tumor Cells through Single-Cell RNA Sequencing: Implications for Precision Medicine in Cancer |
title_full_unstemmed | Deciphering the Biology of Circulating Tumor Cells through Single-Cell RNA Sequencing: Implications for Precision Medicine in Cancer |
title_short | Deciphering the Biology of Circulating Tumor Cells through Single-Cell RNA Sequencing: Implications for Precision Medicine in Cancer |
title_sort | deciphering the biology of circulating tumor cells through single-cell rna sequencing: implications for precision medicine in cancer |
topic | Review |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10418766/ https://www.ncbi.nlm.nih.gov/pubmed/37569711 http://dx.doi.org/10.3390/ijms241512337 |
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