一项关于HPV感染预后与宫结合后病变复发之间的相关性研究
Junling Lu1, Shichao Han1, Ya Li1
1Department of Gynecology and Obstetrics, Second Affiliated Hospital of Dalian Medical University, Dalian, China.
Frontiers in microbiology
|October 23, 2023
概括
持续的人类乳头瘤病毒 (HPV) 感染与子宫癌复发有关. 诸如年龄,怀孕史,吸烟和一致的HPV基因型等因素在手术后增加复发风险,需要对高风险患者进行个性化随访.
科学领域:
- 妇科 妇科 妇科 妇科
- 在瘤学瘤学.
- 病毒学 病毒学
背景情况:
- 持续的人类乳头瘤病毒 (HPV) 感染是导致宫癌发展的关键因素.
- 状内皮层病变 (SIL) 或宫内皮层瘤 (CIN) 是宫癌的前体.
- 高度SIL (HSIL) 的局部治疗可以有效地预防癌症的进展.
研究的目的:
- 为了识别容易出现宫病变复发的高风险患者.
- 调查宫病变的复发和手术后HPV感染回归之间的关系.
- 确定与子宫病变复发相关的其他风险因素.
主要方法:
- 对300名HSIL患者的临床数据的回顾性分析.
- 从大连医科大学第二附属医院 (2019-2020) 治疗的患者收集的数据.
- 调查的重点是HPV感染状况,病变复发以及患者的人口统计/病史.
主要成果:
- 治疗后6个月,12个月和24个月,HPV阴性率分别为81.81%,85.71%和90.91%.
- 平均病变复发率为8.16%,中位复发时间为14个月.
- 感染HPV16的风险最高;61岁以上的患者HPV阴性率较低;多种HPV基因型和不同的手术前/后基因型与复发率较低有关.
结论:
- 患者年龄≥50岁,有≥3次怀孕,吸烟史,和一致的HPV基因型前/后结合,有更高的复发风险.
- 这些因素可能表明HPV再感染增加或持续感染.
- 对于高风险患者来说,个性化后续和管理至关重要,以减少复发和预防宫癌.
更多相关视频
02:58Combination of High Ligation and Intraoperative Embolization using Polidocanol for Treatment of Varicoceles
Published on: December 22, 2023
419
07:43Four-color Fluorescence Immunohistochemistry of T-cell Subpopulations in Archival Formalin-fixed, Paraffin-embedded Human Oropharyngeal Squamous Cell Carcinoma Samples
Published on: July 29, 2017
9.7K
相关概念视频
Cancer Survival Analysis
357
Cancer survival analysis focuses on quantifying and interpreting the time from a key starting point, such as diagnosis or the initiation of treatment, to a specific endpoint, such as remission or death. This analysis provides critical insights into treatment effectiveness and factors that influence patient outcomes, helping to shape clinical decisions and guide prognostic evaluations. A cornerstone of oncology research, survival analysis tackles the challenges of skewed, non-normally...
357
Comparing the Survival Analysis of Two or More Groups
201
Survival analysis is a cornerstone of medical research, used to evaluate the time until an event of interest occurs, such as death, disease recurrence, or recovery. Unlike standard statistical methods, survival analysis is particularly adept at handling censored data—instances where the event has not occurred for some participants by the end of the study or remains unobserved. To address these unique challenges, specialized techniques like the Kaplan-Meier estimator, log-rank test, and...
201
