Prognostic value of combined preoperative fibrinogen-albumin ratio and platelet-lymphocyte ratio score in patients with breast cancer: A prognostic nomogram study

列线图 医学 内科学 乳腺癌 比例危险模型 纤维蛋白原 肿瘤科 多元分析 队列 弗雷明翰风险评分 癌症 疾病
作者
Yufen Zheng,Chunlong Wu,Haixi Yan,Shiyong Chen
出处
期刊:Clinica Chimica Acta [Elsevier]
卷期号:506: 110-121 被引量:28
标识
DOI:10.1016/j.cca.2020.03.011
摘要

The purpose of this study was to evaluate the prognostic value of combined preoperative fibrinogen-albumin ratio and platelet-lymphocyte ratio score (FAR-PLR score) in breast cancer, and to establish a nomogram based on the score as well as clinicopathological factors to predict the prognosis of breast cancer. The study cohort included 707 breast cancer patients who underwent curative resection in Taizhou Hospital of Zhejiang Province, China from January 2010 to April 2016. FAR and PLR increased by 2 at the same time, only one index increased by 1, and none increased by 0. The relationship of preoperative FAR-PLR score with overall survival time (OS) and disease free survival time (DFS) in breast cancer was analyzed by log-rank test and COX proportional risk regression model, and a nomogram was established based on the results of multivariate analysis. The average patient follow-up time was 61.2 months. The FAR-PLR score was conversely correlated with OS and DFS (P < 0.001). In the stage I-II group and III group, the FAR-PLR scores were significantly different among high, medium and low groups of OS and DFS (P < 0.01). FAR-PLR score was also found to be a powerful predictor of prognosis in Luminal B-like subtype, Her-2 overexpression subtype, and triple-negative subtype breast cancers; the higher the FAR-PLR score, the worse the prognosis. Forest charts and multivariate COX proportional risk regression model analysis showed that preoperative FAR-PLR score was an independent risk factor of OS (HR = 1.759, 95%CI = 1.410–2.210, P = 0.000) and DFS (HR = 1.729, 95%CI = 1.385–2.158, P = 0.000) in breast cancer. Based on the COX regression analysis of multiple factors, a nomogram prediction model for the survival of breast cancer was established. The calibration curve analysis indicated that the nomogram results were highly consistent between predicted and actual outcomes. Compared to stage (C-index of OS and DFS were 0.583 and 0.588 respectively), PR (C-index of OS and DFS were 0.592 and 0.592 respectively) and FAR-PLR score (C-index of OS and DFS were 0.592 and 0.591 respectively), the nomogram showed better predictive accuracy (C-index of OS and DFS were 0.652 and 0.651 respectively). The results of this study suggest that preoperative FAR-PLR score may be a potential new biomarker for predicting survival and prognosis of breast cancer. A prognostic nomogram model based on preoperative FAR-PLR score and clinicopathological factors may help doctors make better clinical decisions for breast cancer treatment.
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
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
liuguohua126发布了新的文献求助10
1秒前
分子遗传小菜鸟完成签到,获得积分10
1秒前
洛尚发布了新的文献求助10
1秒前
英俊的铭应助咳咳采纳,获得10
2秒前
科研通AI2S应助嗯呢采纳,获得10
2秒前
姆姆发布了新的文献求助10
3秒前
3秒前
3秒前
4秒前
11发布了新的文献求助10
5秒前
大个应助limof采纳,获得10
5秒前
6秒前
竹筏过海应助chen采纳,获得50
7秒前
7秒前
schoolboy发布了新的文献求助10
7秒前
完美世界应助洛尚采纳,获得10
7秒前
苹果萧发布了新的文献求助10
8秒前
钟是一梦发布了新的文献求助10
9秒前
Lucas应助Light采纳,获得10
10秒前
10秒前
10秒前
李健的粉丝团团长应助Ll采纳,获得10
10秒前
10秒前
JQKing完成签到,获得积分10
11秒前
11秒前
zs完成签到 ,获得积分10
11秒前
11秒前
11完成签到,获得积分20
11秒前
一定会更好的完成签到,获得积分10
12秒前
Pangsj发布了新的文献求助10
12秒前
姆姆完成签到,获得积分10
12秒前
领导范儿应助落晨采纳,获得10
12秒前
13秒前
善良的安卉完成签到,获得积分10
13秒前
淡定吃吃发布了新的文献求助10
14秒前
yyf关闭了yyf文献求助
14秒前
15秒前
kokodayour完成签到,获得积分10
15秒前
Quin完成签到,获得积分10
15秒前
15秒前
高分求助中
Continuum Thermodynamics and Material Modelling 3000
Production Logging: Theoretical and Interpretive Elements 2700
Social media impact on athlete mental health: #RealityCheck 1020
Ensartinib (Ensacove) for Non-Small Cell Lung Cancer 1000
Unseen Mendieta: The Unpublished Works of Ana Mendieta 1000
Bacterial collagenases and their clinical applications 800
El viaje de una vida: Memorias de María Lecea 800
热门求助领域 (近24小时)
化学 材料科学 生物 医学 工程类 有机化学 生物化学 物理 纳米技术 计算机科学 内科学 化学工程 复合材料 基因 遗传学 物理化学 催化作用 量子力学 光电子学 冶金
热门帖子
关注 科研通微信公众号,转发送积分 3527521
求助须知:如何正确求助?哪些是违规求助? 3107606
关于积分的说明 9286171
捐赠科研通 2805329
什么是DOI,文献DOI怎么找? 1539901
邀请新用户注册赠送积分活动 716827
科研通“疑难数据库(出版商)”最低求助积分说明 709740