Suppr超能文献

以单细胞分辨率了解宫颈癌。

Understanding cervical cancer at single-cell resolution.

作者信息

Yue Shengqin, Wang Qian, Zhang Jiajun, Hu Qinyong, Liu Chao

机构信息

Department of Oncology, Renmin Hospital of Wuhan University, Wuhan, 430060, China.

Department of Oncology, Renmin Hospital of Wuhan University, Wuhan, 430060, China.

出版信息

Cancer Lett. 2023 Nov 1;576:216408. doi: 10.1016/j.canlet.2023.216408. Epub 2023 Sep 26.

Abstract

Cervical cancer is now the fourth most prevalent malignancy in women worldwide, representing a tremendous burden of cancer. The heterogeneity of complex tumor ecosystem impacts tumorigenesis, malignant progression, and response to treatment; thus, a thorough understanding of the tumor ecosystem is vital for enhancing the prognosis of patients with cervical cancer. The rapid development and widespread use of single-cell sequencing have generated a new paradigm of cancer research, providing a comprehensive and in-depth understanding of cancers. In this review, we give an overview of the recent advances made by leveraging single-cell sequencing studies in the dissection of cervical cancer ecosystem heterogeneity. We highlight the evolution of the cervical cancer ecosystem during tumor initiation, progression, and treatment. High-resolution dissection of cervical cancer at the single-cell level has the potential to drive the development of targeted therapies and enable the realization of personalized medicine.

摘要

宫颈癌目前是全球女性中第四大常见恶性肿瘤,是癌症的一个巨大负担。复杂肿瘤生态系统的异质性影响肿瘤发生、恶性进展和对治疗的反应;因此,全面了解肿瘤生态系统对于改善宫颈癌患者的预后至关重要。单细胞测序的快速发展和广泛应用产生了癌症研究的新范式,为深入全面地了解癌症提供了条件。在这篇综述中,我们概述了利用单细胞测序研究剖析宫颈癌生态系统异质性方面的最新进展。我们强调了宫颈癌生态系统在肿瘤起始、进展和治疗过程中的演变。在单细胞水平上对宫颈癌进行高分辨率剖析有可能推动靶向治疗的发展并实现个性化医疗。

文献检索

告别复杂PubMed语法,用中文像聊天一样搜索,搜遍4000万医学文献。AI智能推荐,让科研检索更轻松。

立即免费搜索

文件翻译

保留排版,准确专业,支持PDF/Word/PPT等文件格式,支持 12+语言互译。

免费翻译文档

深度研究

AI帮你快速写综述,25分钟生成高质量综述,智能提取关键信息,辅助科研写作。

立即免费体验