The clinical utility of serum anti‐Müllerian hormone in the follow‐up of ovarian adult‐type granulosa cell tumors—A comparative study with inhibin B

抗苗勒氏激素 医学 内科学 卵巢储备 激素 内分泌学 卵巢 生物 怀孕 遗传学 不育
作者
Anniina Färkkilä,Sanna Koskela,Saara Bryk,Henrik Alfthan,Ralf Bützow,Arto Leminen,Ulla Puistola,Juha S. Tapanainen,Markku Heikinheimo,Mikko Anttonen,Leila Unkila‐Kallio
出处
期刊:International Journal of Cancer [Wiley]
卷期号:137 (7): 1661-1671 被引量:65
标识
DOI:10.1002/ijc.29532
摘要

Ovarian adult-type granulosa cell tumors (AGCTs) require prolonged follow-up, but evidence regarding the optimal follow-up marker is lacking. The objective of our study was to validate the clinical usefulness of serum anti-Müllerian hormone (AMH) and the current marker inhibin B as single and combined markers of AGCTs. We conducted a longitudinal, partially prospective cohort study of 123 premenopausal and postmenopausal AGCT patients with a median follow-up time of 10.5 years (range 0.3-50.0 years). Serum AMH and inhibin B levels were measured from 560 pretreatment and follow-up serum samples by using immunoenzymometric assays. We found that serum AMH and inhibin B levels were significantly elevated in patients with primary or recurrent AGCTs. The levels of both markers positively correlated to tumor size (p < 0.05). AMH and inhibin B performed similarly in receiving operator characteristic analyses; area under the curve (AUC) values were 0.92 [95% confidence interval (CI) 0.88-0.95] for AMH, and 0.94 (95% CI 0.90-0.96) for inhibin B. AMH was highly sensitive (92%) and specific (81%) in detecting a macroscopic AGCT. However, in AUC comparison analyses, the combination of the markers was superior to inhibin B alone. In conclusion, serum AMH is a sensitive and specific marker of AGCT, and either AMH or inhibin B can be monitored during follow-up. However, combining AMH and inhibin B in AGCT patient follow-up improves the detection of recurrent disease.

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
爱吃橙子的小鱼完成签到,获得积分10
刚刚
科目三应助jayjiao采纳,获得10
刚刚
Tuzixiong发布了新的文献求助30
1秒前
机智的紫南完成签到,获得积分10
1秒前
ZXY完成签到,获得积分10
1秒前
852应助Yoki采纳,获得10
1秒前
小李完成签到,获得积分10
1秒前
1秒前
长情豁发布了新的文献求助50
1秒前
天明发布了新的文献求助10
1秒前
徐萌完成签到 ,获得积分10
1秒前
星辰大海应助蔓野采纳,获得10
1秒前
2秒前
2秒前
无花果应助风笛采纳,获得10
2秒前
ding应助桔ber采纳,获得50
2秒前
热心剑完成签到,获得积分10
2秒前
烟花应助YR采纳,获得10
2秒前
vadfdfb完成签到,获得积分10
3秒前
123完成签到,获得积分10
3秒前
科研通AI6.4应助咯咯咯咯采纳,获得10
3秒前
凭什么完成签到,获得积分10
3秒前
3秒前
李健应助结实星星采纳,获得10
3秒前
怡然安南发布了新的文献求助10
4秒前
桐桐应助咖啡先生采纳,获得10
4秒前
田様应助Wenzlee采纳,获得10
4秒前
4秒前
合适的飞松完成签到 ,获得积分10
5秒前
5秒前
hikari6667完成签到,获得积分10
5秒前
5秒前
6秒前
7秒前
7秒前
奋斗鲂发布了新的文献求助10
7秒前
cdercder应助Tuzixiong采纳,获得10
7秒前
7秒前
7秒前
yy发布了新的文献求助10
7秒前
高分求助中
Principles of Economics, 11th Edition 10000
University Physics with Modern Physics, 16th edition 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
Matrix Methods in Data Mining and Pattern Recognition 510
Social Skills Improvement System-Rating Scales--Chinese Version 500
Dynamische Polarisation von H-1 und B-11 in (CH-3)-3NBH-3 500
CLSI M07 2024 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 7248505
求助须知:如何正确求助?哪些是违规求助? 8871371
关于积分的说明 18717578
捐赠科研通 6927645
什么是DOI,文献DOI怎么找? 3198390
关于科研通互助平台的介绍 2373952
邀请新用户注册赠送积分活动 2173150