Does HPV status influence survival after vulvar cancer?

外阴癌 医学 肿瘤科 荟萃分析 内科学 宫颈癌 癌症 癌变 外阴癌 科克伦图书馆 HPV感染 人乳头瘤病毒 妇科
作者
Christina Louise Rasmussen,Freja Lærke Sand,Marie Frederiksen,Klaus Kaae Andersen,Susanne Krüger Kjær
出处
期刊:International Journal of Cancer [Wiley]
卷期号:142 (6): 1158-1165 被引量:47
标识
DOI:10.1002/ijc.31139
摘要

High‐risk human papillomavirus (HPV) infection is essential in the carcinogenesis of a substantial part of anogenital and oropharyngeal cancers and has additionally been shown to be a possible predictive marker for survival, especially in oropharyngeal cancer. Studies examining the influence of HPV status on survival after vulvar cancer have been conflicting and limited by small study populations. Therefore, the aim of this review and meta‐analysis was to examine whether HPV status influences survival after vulvar cancer, which, to our knowledge, has not been done before. We conducted a systematic search of PubMed, Cochrane Library and Embase to identify studies examining survival after histologically verified and HPV tested vulvar cancer. A total of 18 studies were eligible for inclusion. Study‐specific and pooled HRs of the 5‐year OS and DFS were calculated using a fixed effects model. The I 2 statistic was used to describe heterogeneity. The studies included a total of 1,638 women with HPV tested vulvar cancers of which 541 and 1,097 were HPV‐positive and HPV‐negative, respectively. Fifteen studies included only squamous cell carcinomas. We found a pooled HR of 0.61 (95% CI: 0.48–0.77) and 0.75 (95% CI: 0.57–1.00) for 5‐year OS and DFS, respectively. Across study heterogeneity was moderate to high (OS: I 2 = 51%; DFS: I 2 = 73%). In conclusion, women with HPV‐positive vulvar cancers have a superior survival compared to women with HPV‐negative, which could be of great clinical interest and provides insight into the differences in the natural history of HPV‐positive and negative vulvar cancers.

科研通智能强力驱动
Strongly Powered by AbleSci AI
科研通是完全免费的文献互助平台,具备全网最快的应助速度,最高的求助完成率。 对每一个文献求助,科研通都将尽心尽力,给求助人一个满意的交代。
实时播报
3秒前
沉默无极完成签到,获得积分10
4秒前
昵称完成签到 ,获得积分10
6秒前
EvanGao发布了新的文献求助20
6秒前
戚越完成签到,获得积分20
8秒前
8秒前
搜集达人应助CHEN采纳,获得10
9秒前
10秒前
领导范儿应助结实樱桃采纳,获得10
11秒前
ming2026应助耍酷笑白采纳,获得10
11秒前
13秒前
靓丽的淇完成签到,获得积分10
13秒前
我是老大应助aaaa采纳,获得10
14秒前
15秒前
15秒前
shorting发布了新的文献求助10
15秒前
17秒前
18秒前
18秒前
袁不评发布了新的文献求助10
18秒前
路过的骑士完成签到 ,获得积分10
18秒前
高院士完成签到,获得积分10
21秒前
蛋烘糕发布了新的文献求助10
23秒前
快乐的人儿应助汤姆采纳,获得10
25秒前
乌兰巴托没有海完成签到,获得积分10
25秒前
yzy应助drama_queen采纳,获得10
26秒前
找啊找完成签到,获得积分10
26秒前
所所应助咔咔采纳,获得30
28秒前
今后应助汪进辉_Will采纳,获得10
28秒前
30秒前
夜空完成签到,获得积分10
30秒前
31秒前
zzz完成签到 ,获得积分10
33秒前
kyou完成签到,获得积分10
33秒前
夜空发布了新的文献求助10
34秒前
脑洞疼应助科研通管家采纳,获得30
35秒前
852应助科研通管家采纳,获得10
35秒前
情怀应助科研通管家采纳,获得10
35秒前
Akim应助科研通管家采纳,获得10
35秒前
36秒前
高分求助中
Markov Chain Monte Carlo 10000
(应助此贴封号)【重要!!请各用户(尤其是新用户)详细阅读】【科研通的精品贴汇总】 10000
Common Foundations of American and East Asian Modernisation: From Alexander Hamilton to Junichero Koizumi 5000
How to Use Machine Learning in Chemistry: An Introduction 1000
Matrix Methods in Data Mining and Pattern Recognition Second Edition 510
Discerning Saints: Moralization of Intrinsic Motivation and Selective Prosociality at Work 500
Handbuch Trainingswissenschaft – Trainingslehre 500
热门求助领域 (近24小时)
化学 材料科学 医学 生物 纳米技术 工程类 有机化学 化学工程 生物化学 计算机科学 内科学 物理 复合材料 催化作用 细胞生物学 无机化学 光电子学 物理化学 电极 基因
热门帖子
关注 科研通微信公众号,转发送积分 7583462
求助须知:如何正确求助?哪些是违规求助? 9162196
关于积分的说明 19606301
捐赠科研通 7165505
什么是DOI,文献DOI怎么找? 3266283
关于科研通互助平台的介绍 2431182
邀请新用户注册赠送积分活动 2257737