Use of Single Cell Transcriptomic Techniques to Study the Role of High-Risk Human Papillomavirus Infection in Cervical Cancer.
Use of Single Cell Transcriptomic Techniques to Study the Role of High-Risk Human Papillomavirus Infection in Cervical Cancer.
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使用单细胞转录组学技术研究高危人乳头瘤病毒感染在宫颈癌中的作用
DOI：
10.3389/fimmu.2022.907599
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发表时间：
2022
影响因子：
7.3
通讯作者：
Song, Jian
中科院分区：
文献类型：
--
作者：
Meng, Lingzhang;Chen, Shengcai;Shi, Guiling;He, Siyuan;Wang, Zechen;Shen, Jiajia;Wang, Jiajia;Sooranna, Suren Rao;Zhao, Jingjie;Song, Jian
关键词：
高危人乳头瘤病毒(HrHPV)感染与宫颈癌进展的可能性更高有关。然而，一些广泛的研究报告说，hrHPV的存在可以导致更好的预后，但这种情况发生的机制尚不清楚。在这项研究中，通过微生物学分析确定HPV感染是影响宫颈鳞癌患者预后的一个因素。比较HPV+和HPV-恶性细胞与免疫细胞的相互作用以及有无HPV的恶性细胞的运动轨迹，我们发现大多数HPV+细胞分化良好，而HPV-细胞似乎是低分化的。利用转录和免疫染色数据，我们验证了HPV-CSCC细胞中的一组不利分子，包括KRT16、ITGB1、CXCR1、VEGFA、CRCT1和TNFRSF10B/DR5。这项研究为制定合理的术后随访计划和为宫颈癌患者制定适当的治疗计划提供了基础。
High-risk human papillomavirus (hrHPV) infection has been associated with a higher probability of progression to cervical cancer. However, several extensive studies have reported that the presence of hrHPV can lead to a better prognosis, but the mechanism of how this occurs is unclear. In this study, microbiological analysis was used to identify HPV infection as a factor for the prognosis of patients with cervical squamous cell carcinoma (CSCC). Comparing the interactions of HPV+ and HPV- malignant cells with immune cells as well as the trajectory of malignant cells either with or without HPV, we found that most of the HPV+ cells are well differentiated while HPV- cells appear to be hypo-fractionated. Using transcriptomic and immunostaining data, we validated a set of unfavourable molecules in the HPV- CSCC cells, including KRT16, ITGB1, CXCR1, VEGFA, CRCT1 and TNFRSF10B/DR5. This study provides a basis for the development of a rational post-operative follow-up programme and the development of an appropriate treatment plan for patients with cervical cancer.
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DOI：
10.1016/j.omtn.2021.03.017
发表时间：
2021-06-04
期刊：
Molecular therapy. Nucleic acids
影响因子：
--
作者：
Li C;Guo L;Li S;Hua K
通讯作者：
Hua K
影响因子：
1.3
作者：
Therneau, TM;Li, HZ
通讯作者：
Li, HZ
影响因子：
64.8
作者：
Vento-Tormo R;Efremova M;Botting RA;Turco MY;Vento-Tormo M;Meyer KB;Park JE;Stephenson E;Polański K;Goncalves A;Gardner L;Holmqvist S;Henriksson J;Zou A;Sharkey AM;Millar B;Innes B;Wood L;Wilbrey-Clark A;Payne RP;Ivarsson MA;Lisgo S;Filby A;Rowitch DH;Bulmer JN;Wright GJ;Stubbington MJT;Haniffa M;Moffett A;Teichmann SA
通讯作者：
Teichmann SA
宿主病毒感染图谱揭示了重症 COVID-19 患者的特征
影响因子：
64.5
作者：
Bost, Pierre;Giladi, Amir;Amit, Ido
通讯作者：
Amit, Ido
影响因子：
4.7
作者：
Wu Y;Meng L;Cai K;Zhao J;He S;Shen J;Wei Q;Wang Z;Sooranna S;Li H;Song J
通讯作者：
Song J