已入深夜,您辛苦了!由于当前在线用户较少,发布求助请尽量完整地填写文献信息,科研通机器人24小时在线,伴您度过漫漫科研夜!祝你早点完成任务,早点休息,好梦!

Development and validation of response markers to predict survival and pleurodesis success in patients with malignant pleural effusion (PROMISE): a multicohort analysis

医学 胸膜成形术 恶性胸腔积液 胸腔积液 生物标志物 肿瘤科 时间1 内科学 间皮瘤 胸腔穿刺术 病理 生物 生物化学 基因 基因表达
作者
Ioannis Psallidas,Nikolaos I. Kanellakis,Stephen Gerry,Marie L. Thézénas,Philip D. Charles,Anastasia Samsonova,Herbert B. Schiller,Román Fischer,Rachelle Asciak,Rob Hallifax,Rachel Mercer,Melissa Dobson,Tao Dong,Ian Pavord,Gary S. Collins,Benedikt M. Kessler,Harvey I. Pass,Nick Maskell,Georgios T. Stathopoulos,Najib M. Rahman
出处
期刊:Lancet Oncology [Elsevier BV]
卷期号:19 (7): 930-939 被引量:109
标识
DOI:10.1016/s1470-2045(18)30294-8
摘要

Background The prevalence of malignant pleural effusion is increasing worldwide, but prognostic biomarkers to plan treatment and to understand the underlying mechanisms of disease progression remain unidentified. The PROMISE study was designed with the objectives to discover, validate, and prospectively assess biomarkers of survival and pleurodesis response in malignant pleural effusion and build a score that predicts survival. Methods In this multicohort study, we used five separate and independent datasets from randomised controlled trials to investigate potential biomarkers of survival and pleurodesis. Mass spectrometry-based discovery was used to investigate pleural fluid samples for differential protein expression in patients from the discovery group with different survival and pleurodesis outcomes. Clinical, radiological, and biological variables were entered into least absolute shrinkage and selection operator regression to build a model that predicts 3-month mortality. We evaluated the model using internal and external validation. Findings 17 biomarker candidates of survival and seven of pleurodesis were identified in the discovery dataset. Three independent datasets (n=502) were used for biomarker validation. All pleurodesis biomarkers failed, and gelsolin, macrophage migration inhibitory factor, versican, and tissue inhibitor of metalloproteinases 1 (TIMP1) emerged as accurate predictors of survival. Eight variables (haemoglobin, C-reactive protein, white blood cell count, Eastern Cooperative Oncology Group performance status, cancer type, pleural fluid TIMP1 concentrations, and previous chemotherapy or radiotherapy) were validated and used to develop a survival score. Internal validation with bootstrap resampling and external validation with 162 patients from two independent datasets showed good discrimination (C statistic values of 0·78 [95% CI 0·72–0·83] for internal validation and 0·89 [0·84–0·93] for external validation of the clinical PROMISE score). Interpretation To our knowledge, the PROMISE score is the first prospectively validated prognostic model for malignant pleural effusion that combines biological and clinical parameters to accurately estimate 3-month mortality. It is a robust, clinically relevant prognostic score that can be applied immediately, provide important information on patient prognosis, and guide the selection of appropriate management strategies. Funding European Respiratory Society, Medical Research Funding-University of Oxford, Slater & Gordon Research Fund, and Oxfordshire Health Services Research Committee Research Grants.
最长约 10秒,即可获得该文献文件

科研通智能强力驱动
Strongly Powered by AbleSci AI
更新
PDF的下载单位、IP信息已删除 (2025-6-4)

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
2秒前
朴素青荷发布了新的文献求助10
3秒前
4秒前
调皮的延恶关注了科研通微信公众号
4秒前
桐桐应助默1采纳,获得10
7秒前
酷波er应助Maomiaomiao采纳,获得10
8秒前
酷波er应助晓米采纳,获得10
10秒前
li发布了新的文献求助10
10秒前
圈儿完成签到,获得积分10
11秒前
扶摇完成签到 ,获得积分10
11秒前
14秒前
16秒前
Lx_B发布了新的文献求助10
17秒前
wwho_O发布了新的文献求助10
19秒前
21秒前
22秒前
24秒前
自己哭哭完成签到 ,获得积分10
24秒前
坚定的泥猴桃完成签到 ,获得积分10
24秒前
痴情的靖柔完成签到 ,获得积分10
25秒前
雷家发布了新的文献求助10
27秒前
易酰水烊酸完成签到 ,获得积分10
32秒前
33秒前
水木公发布了新的文献求助10
38秒前
39秒前
故意的傲玉完成签到,获得积分0
42秒前
花889完成签到,获得积分20
43秒前
treoub应助科研通管家采纳,获得10
44秒前
44秒前
爆米花应助科研通管家采纳,获得10
44秒前
不瞌睡应助科研通管家采纳,获得30
44秒前
49秒前
小毛毛想睡觉完成签到 ,获得积分10
50秒前
sciscisci完成签到 ,获得积分10
52秒前
包容问雁发布了新的文献求助10
53秒前
知犯何逆完成签到 ,获得积分10
53秒前
Zhang完成签到 ,获得积分10
53秒前
共享精神应助薯条采纳,获得10
54秒前
与月同行完成签到,获得积分10
54秒前
SciGPT应助青藤采纳,获得10
55秒前
高分求助中
Les Mantodea de Guyane: Insecta, Polyneoptera [The Mantids of French Guiana] 2500
Future Approaches to Electrochemical Sensing of Neurotransmitters 1000
Electron microscopy study of magnesium hydride (MgH2) for Hydrogen Storage 1000
Finite Groups: An Introduction 800
壮语核心名词的语言地图及解释 700
生物降解型栓塞微球市场(按产品类型、应用和最终用户)- 2030 年全球预测 500
Thermal Expansion of Solids (CINDAS Data Series on Material Properties, v. I-4) 470
热门求助领域 (近24小时)
化学 材料科学 医学 生物 工程类 有机化学 物理 生物化学 纳米技术 计算机科学 化学工程 内科学 复合材料 物理化学 电极 遗传学 量子力学 基因 冶金 催化作用
热门帖子
关注 科研通微信公众号,转发送积分 3906676
求助须知:如何正确求助?哪些是违规求助? 3452297
关于积分的说明 10869650
捐赠科研通 3178046
什么是DOI,文献DOI怎么找? 1755689
邀请新用户注册赠送积分活动 849006
科研通“疑难数据库(出版商)”最低求助积分说明 791330