Unravelling the complexity of HNSCC using single-cell transcriptomics
Background/Objectives: Head and neck squamous cell carcinoma (HNSCC) is a highly heterogeneous and the most common form of head and neck cancer, posing significant challenges for disease management. The objective of this review is to assess the utility of single-cell RNA sequencing (scRNAseq) in add...
Gespeichert in:
| Hauptverfasser: | , , , , |
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| Dokumenttyp: | Article (Journal) |
| Sprache: | Englisch |
| Veröffentlicht: |
25 September 2024
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| In: |
Cancers
Year: 2024, Jahrgang: 16, Heft: 19, Pages: 1-19 |
| ISSN: | 2072-6694 |
| DOI: | 10.3390/cancers16193265 |
| Online-Zugang: | Verlag, kostenfrei, Volltext: https://doi.org/10.3390/cancers16193265 Verlag, kostenfrei, Volltext: https://www.mdpi.com/2072-6694/16/19/3265 |
| Verfasserangaben: | Cristina Conde-Lopez, Divyasree Marripati, Moshe Elkabets, Jochen Hess and Ina Kurth |
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| 245 | 1 | 0 | |a Unravelling the complexity of HNSCC using single-cell transcriptomics |c Cristina Conde-Lopez, Divyasree Marripati, Moshe Elkabets, Jochen Hess and Ina Kurth |
| 246 | 1 | |i Titel des special issue |a Head and Neck Cancers—Novel Approaches and Future Outlook | |
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| 520 | |a Background/Objectives: Head and neck squamous cell carcinoma (HNSCC) is a highly heterogeneous and the most common form of head and neck cancer, posing significant challenges for disease management. The objective of this review is to assess the utility of single-cell RNA sequencing (scRNAseq) in addressing these challenges by enabling a detailed characterization of the tumor microenvironment (TME) at the cellular level. Methods: This review compiles and analyzes current strategies that utilize scRNAseq and other single-cell technologies in HNSCC research. Results: For HNSCC etiology, scRNAseq allows for the construction of cellular atlases, characterization of different cell types, and investigation of genes and processes involved in cancer initiation, development, and progression within the TME. In terms of HNSCC diagnosis and prognosis, the resolution offered by scRNAseq enables the identification of cell type-specific signatures, enhancing prognostic models and disease stratifiers for patient outcome assessments. Regarding HNSCC treatment, scRNAseq provides insights into cellular responses to various treatments, including radiotherapy, chemotherapy, and immunotherapy, contributing to a better understanding of treatment efficacy and patient outcomes. Conclusions: This review highlights the contributions of scRNAseq to HNSCC research, addressing its cellular and biological complexity, and emphasizes its potential for advancing research and clinical practice in other cancer types. | ||
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