Is a higher estimated dose of radiation to immune cells predictive of survival in patients with locally advanced non-small cell lung cancer treated with thoracic radiotherapy?

医学 比例危险模型 肺癌 生存分析 阶段(地层学) 相关性 肿瘤科 内科学 放射治疗 淋巴结 核医学 生物 几何学 数学 古生物学
作者
Xiaoming Yin,Jing Luo,Xu Cai,Chunliu Meng,Jiaqi Zhang,Hao Yu,Ningbo Liu,Zhiyong Yuan,Ping Wang,Yunchuan Sun,Lujun Zhao
出处
期刊:Radiotherapy and Oncology [Elsevier]
卷期号:159: 218-223 被引量:5
标识
DOI:10.1016/j.radonc.2021.03.026
摘要

Background and purpose In previous studies, the estimated dose of radiation to immune cells (EDRIC) showed a correlation with overall survival (OS) of patients with locally advanced non-small cell lung cancer (LA-NSCLC) who received thoracic radiotherapy. However, several factors such as gross tumor volume (GTV) and lymph node (N) stage may impact EDRIC. The purpose of this study was to identify the factors influencing EDRIC and to further assess the prognostic relevance of EDRIC. Materials and methods We retrospectively analyzed 201 patients with LA-NSCLC who received radiotherapy between 2012 and 2017. EDRIC was calculated based on the model developed by Jin et al. Kaplan–Meier method and Cox proportional hazards regression were used to analyze the correlation of potential factors with OS, local progression-free survival (LPFS), and distant metastasis-free survival (DMFS). Spearman's rank correlation was used to assess the correlation between variables. Results Both GTV and N stage showed a positive correlation with EDRIC (r = 0.347, P < 0.001 and r = 0.249, P < 0.001, respectively). EDRIC was independently associated with DMFS (HR 1.185, P < 0.001). GTV was associated with OS (HR 1.006, P < 0.001), LPFS (HR 1.003, P = 0.017), and DMFS (HR 1.003, P = 0.032). While using GTV as a stratification factor in Kaplan–Meier analysis, EDRIC showed a trend of negative correlation with OS in GTV ≤ 66.6 cm3 group (P = 0.061). Conclusion EDRIC was an independent prognostic factor for metastasis and it was affected by GTV and N stage. However, the effect of EDRIC on OS was influenced by GTV.
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
大幅提高文件上传限制,最高150M (2024-4-1)

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
洁净白枫应助redsen采纳,获得10
1秒前
xm发布了新的文献求助10
1秒前
德德发布了新的文献求助20
3秒前
不配.应助azi采纳,获得20
3秒前
路路完成签到,获得积分10
3秒前
5秒前
TrucCSC应助Cxg采纳,获得10
7秒前
一只小西瓜应助路路采纳,获得10
7秒前
Liu发布了新的文献求助10
8秒前
8秒前
8秒前
不不不爱学习完成签到,获得积分10
10秒前
wang发布了新的文献求助20
11秒前
冷傲的咖啡豆完成签到 ,获得积分10
11秒前
善学以致用应助Lynna Lai采纳,获得10
12秒前
花花完成签到,获得积分10
12秒前
猫雷发布了新的文献求助10
13秒前
zp发布了新的文献求助10
13秒前
zhao发布了新的文献求助10
13秒前
14秒前
54132123发布了新的文献求助10
14秒前
自然含羞草完成签到,获得积分10
14秒前
科研通AI2S应助小火花采纳,获得10
14秒前
15秒前
兔兔sci发布了新的文献求助10
16秒前
不配.应助霸气的代云采纳,获得20
17秒前
zumii完成签到,获得积分20
18秒前
骑着火车撵火箭完成签到,获得积分10
18秒前
虚幻笑旋发布了新的文献求助10
19秒前
19秒前
SciGPT应助乐天采纳,获得10
20秒前
风评发布了新的文献求助10
22秒前
科研通AI2S应助甜蜜向梦采纳,获得10
24秒前
逝者如斯只是看着完成签到,获得积分10
24秒前
25秒前
Guuuuy发布了新的文献求助10
25秒前
彭于晏应助wang采纳,获得10
26秒前
英俊的铭应助虚幻笑旋采纳,获得10
27秒前
科研通AI2S应助风评采纳,获得10
31秒前
斯文败类应助liangshuhong采纳,获得10
31秒前
高分求助中
Lire en communiste 1000
Ore genesis in the Zambian Copperbelt with particular reference to the northern sector of the Chambishi basin 800
Mantiden: Faszinierende Lauerjäger Faszinierende Lauerjäger 700
PraxisRatgeber: Mantiden: Faszinierende Lauerjäger 700
Becoming: An Introduction to Jung's Concept of Individuation 600
Die Gottesanbeterin: Mantis religiosa: 656 500
中国氢能技术发展路线图研究 500
热门求助领域 (近24小时)
化学 医学 生物 材料科学 工程类 有机化学 生物化学 物理 内科学 纳米技术 计算机科学 化学工程 复合材料 基因 遗传学 催化作用 物理化学 免疫学 量子力学 细胞生物学
热门帖子
关注 科研通微信公众号,转发送积分 3170213
求助须知:如何正确求助?哪些是违规求助? 2821426
关于积分的说明 7934126
捐赠科研通 2481670
什么是DOI,文献DOI怎么找? 1322010
科研通“疑难数据库(出版商)”最低求助积分说明 633451
版权声明 602595