Integrating neutrophils, lymphocytes and eosinophils: development and validation of the NLE Index in ICI-treated metastatic melanoma

医学 内科学 嗜酸性粒细胞 肿瘤科 黑色素瘤 比例危险模型 中性粒细胞与淋巴细胞比率 转移性黑色素瘤 淋巴细胞 胃肠病学 癌症 癌症研究 哮喘
作者
Fatma Pınar Açar,Caner Acar,Haydar Çağatay Yüksel,Gökhan Şahin,Bilge Bayir,İsmaıl Özdemır,Tuğba Mermer,Burçak Karaca
出处
期刊:Melanoma Research [Lippincott Williams & Wilkins]
卷期号:35 (6): 380-389 被引量:2
标识
DOI:10.1097/cmr.0000000000001060
摘要

Prognosis for metastatic melanoma patients treated with immune checkpoint inhibitors (ICIs) remains heterogeneous. Although neutrophil-to-lymphocyte ratio (NLR) and neutrophil-to-eosinophil ratio (NER) are established markers, we hypothesized a neutrophil-to-lymphocyte-times-eosinophil (NLE) index would offer superior stratification. We analyzed 194 metastatic melanoma patients receiving ICIs, divided into training ( n = 129) and validation ( n = 65) cohorts. An optimal NLE cutoff categorized patients as NLE-low or NLE-high. Survival outcomes and objective response rate (ORR) were assessed using Kaplan-Meier, Cox regression, and logistic regression. Predictive accuracy of NLE, NLR, and NER was compared. Median overall survival was significantly longer in NLE-low versus NLE-high patients (training: 31.3 versus 6.9 months; P = 0.011; validation: 33.5 versus 9.1 months; P = 0.019). Median progression-free survival also improved significantly in NLE-low patients (training: 10.6 versus 3.1 months; P = 0.029; validation: 13.7 versus 3.9 months; P = 0.012). ORR was higher in NLE-low groups (training: 46.0% versus 13.2%; P < 0.001; validation: 43.6% versus 18.2%; P = 0.078). NLE demonstrated superior predictive accuracy compared with NLR and NER. The NLE index outperforms NLR and NER in predicting survival and response in metastatic melanoma patients treated with ICIs, providing a practical clinical tool.

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
搜集达人应助Dr.c采纳,获得10
刚刚
九耳兔完成签到,获得积分10
刚刚
我是老大应助jom采纳,获得10
1秒前
在水一方应助小章采纳,获得10
2秒前
虚心之玉发布了新的文献求助10
2秒前
刘美顺完成签到,获得积分20
2秒前
huomuge发布了新的文献求助10
2秒前
2秒前
西门戆戆发布了新的文献求助20
2秒前
3秒前
侯一刀发布了新的文献求助10
3秒前
5秒前
斯文败类应助阿Wing采纳,获得10
5秒前
凌波丽发布了新的文献求助10
5秒前
动听紫文完成签到,获得积分10
6秒前
无极微光应助WHY采纳,获得20
7秒前
7秒前
8秒前
1733完成签到,获得积分10
8秒前
8秒前
地精术士发布了新的文献求助10
8秒前
8秒前
8秒前
桂鱼发布了新的文献求助10
8秒前
9秒前
赘婿应助拼搏的无招采纳,获得10
9秒前
小二郎应助wcw采纳,获得10
11秒前
mannich完成签到,获得积分10
11秒前
11秒前
1733发布了新的文献求助10
11秒前
洛黎发布了新的文献求助10
11秒前
12秒前
fev123完成签到,获得积分10
12秒前
爱上叶子的猫完成签到,获得积分10
12秒前
12秒前
12秒前
12秒前
13秒前
张兔子发布了新的文献求助10
13秒前
123完成签到,获得积分10
13秒前
高分求助中
(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
Essentials of Carbohydrate Chemistry and Biochemistry, 4th Edition 800
Organizational Behavior 510
Management and the Arts 510
Matrix Methods in Data Mining and Pattern Recognition Second Edition 510
CLSI VET01S-2024 Performance Standards for Antimicrobial Disk and Dilution Susceptibility Tests for Bacteria Isolated From Animals (7th Ed) 500
A Case Study on Hotels as Noncongregate Emergency Living Accommodations for Returning Citizens 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 计算机科学 化学工程 工程类 有机化学 物理 复合材料 生物化学 内科学 细胞生物学 基因 遗传学 免疫学 冶金 光电子学 癌症研究
热门帖子
关注 科研通微信公众号,转发送积分 7764817
求助须知:如何正确求助?哪些是违规求助? 9309121
关于积分的说明 20309262
捐赠科研通 7349614
什么是DOI,文献DOI怎么找? 3314612
关于科研通互助平台的介绍 2463990
邀请新用户注册赠送积分活动 2328915