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Unveiling the novel immune and molecular signatures of ovarian cancer: insights and innovations from single-cell sequencing
Ovarian cancer is a highly heterogeneous and lethal malignancy with limited treatment options. Over the past decade, single-cell sequencing has emerged as an advanced biological technology capable of decoding the landscape of ovarian cancer at the single-cell resolution. It operates at the level of...
Autores principales: | , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
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Frontiers Media S.A.
2023
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10654630/ https://www.ncbi.nlm.nih.gov/pubmed/38022625 http://dx.doi.org/10.3389/fimmu.2023.1288027 |
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author | Li, Zhongkang Gu, Haihan Xu, Xiaotong Tian, Yanpeng Huang, Xianghua Du, Yanfang |
author_facet | Li, Zhongkang Gu, Haihan Xu, Xiaotong Tian, Yanpeng Huang, Xianghua Du, Yanfang |
author_sort | Li, Zhongkang |
collection | PubMed |
description | Ovarian cancer is a highly heterogeneous and lethal malignancy with limited treatment options. Over the past decade, single-cell sequencing has emerged as an advanced biological technology capable of decoding the landscape of ovarian cancer at the single-cell resolution. It operates at the level of genes, transcriptomes, proteins, epigenomes, and metabolisms, providing detailed information that is distinct from bulk sequencing methods, which only offer average data for specific lesions. Single-cell sequencing technology provides detailed insights into the immune and molecular mechanisms underlying tumor occurrence, development, drug resistance, and immune escape. These insights can guide the development of innovative diagnostic markers, therapeutic strategies, and prognostic indicators. Overall, this review provides a comprehensive summary of the diverse applications of single-cell sequencing in ovarian cancer. It encompasses the identification and characterization of novel cell subpopulations, the elucidation of tumor heterogeneity, the investigation of the tumor microenvironment, the analysis of mechanisms underlying metastasis, and the integration of innovative approaches such as organoid models and multi-omics analysis. |
format | Online Article Text |
id | pubmed-10654630 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | Frontiers Media S.A. |
record_format | MEDLINE/PubMed |
spelling | pubmed-106546302023-01-01 Unveiling the novel immune and molecular signatures of ovarian cancer: insights and innovations from single-cell sequencing Li, Zhongkang Gu, Haihan Xu, Xiaotong Tian, Yanpeng Huang, Xianghua Du, Yanfang Front Immunol Immunology Ovarian cancer is a highly heterogeneous and lethal malignancy with limited treatment options. Over the past decade, single-cell sequencing has emerged as an advanced biological technology capable of decoding the landscape of ovarian cancer at the single-cell resolution. It operates at the level of genes, transcriptomes, proteins, epigenomes, and metabolisms, providing detailed information that is distinct from bulk sequencing methods, which only offer average data for specific lesions. Single-cell sequencing technology provides detailed insights into the immune and molecular mechanisms underlying tumor occurrence, development, drug resistance, and immune escape. These insights can guide the development of innovative diagnostic markers, therapeutic strategies, and prognostic indicators. Overall, this review provides a comprehensive summary of the diverse applications of single-cell sequencing in ovarian cancer. It encompasses the identification and characterization of novel cell subpopulations, the elucidation of tumor heterogeneity, the investigation of the tumor microenvironment, the analysis of mechanisms underlying metastasis, and the integration of innovative approaches such as organoid models and multi-omics analysis. Frontiers Media S.A. 2023-11-01 /pmc/articles/PMC10654630/ /pubmed/38022625 http://dx.doi.org/10.3389/fimmu.2023.1288027 Text en Copyright © 2023 Li, Gu, Xu, Tian, Huang and Du https://creativecommons.org/licenses/by/4.0/This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms. |
spellingShingle | Immunology Li, Zhongkang Gu, Haihan Xu, Xiaotong Tian, Yanpeng Huang, Xianghua Du, Yanfang Unveiling the novel immune and molecular signatures of ovarian cancer: insights and innovations from single-cell sequencing |
title | Unveiling the novel immune and molecular signatures of ovarian cancer: insights and innovations from single-cell sequencing |
title_full | Unveiling the novel immune and molecular signatures of ovarian cancer: insights and innovations from single-cell sequencing |
title_fullStr | Unveiling the novel immune and molecular signatures of ovarian cancer: insights and innovations from single-cell sequencing |
title_full_unstemmed | Unveiling the novel immune and molecular signatures of ovarian cancer: insights and innovations from single-cell sequencing |
title_short | Unveiling the novel immune and molecular signatures of ovarian cancer: insights and innovations from single-cell sequencing |
title_sort | unveiling the novel immune and molecular signatures of ovarian cancer: insights and innovations from single-cell sequencing |
topic | Immunology |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10654630/ https://www.ncbi.nlm.nih.gov/pubmed/38022625 http://dx.doi.org/10.3389/fimmu.2023.1288027 |
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