Novel Prognostic Staging System for Patients With De Novo Metastatic Breast Cancer

医学 转移性乳腺癌 内科学 肿瘤科 阶段(地层学) 队列 癌症 乳腺癌 递归分区 对数秩检验 比例危险模型 古生物学 生物
作者
Jennifer K. Plichta,Samantha M. Thomas,Daniel F. Hayes,Mariana Chávez‐MacGregor,Kimberly H. Allison,Jennifer De Los Santos,Amy M. Fowler,Armando E. Giuliano,Priyanka Sharma,Benjamin D. Smith,E. Van Eycken,Stephen B. Edge,Gabriel N. Hortobágyi
出处
期刊:Journal of Clinical Oncology [Lippincott Williams & Wilkins]
卷期号:41 (14): 2546-2560 被引量:37
标识
DOI:10.1200/jco.22.02222
摘要

PURPOSE Given the heterogeneity and improvement in outcomes for metastatic breast cancer (MBC), we developed a staging system that refines prognostic estimates for patients with metastatic cancer at the time of initial diagnosis, de novo MBC (dnMBC), on the basis of survival outcomes and disease-related variables. METHODS Patients with dnMBC (2010-2016) were selected from the National Cancer Database (NCDB). Recursive partitioning analysis (RPA) was used to group patients with similar overall survival (OS) on the basis of clinical T category, grade, estrogen receptor (ER), progesterone receptor, human epidermal growth factor receptor 2, histology, organ system site of metastases (bone-only, brain-only, visceral), and number of organ systems involved. Three-year OS rates were used to assign a final stage: IVA: >70%, IVB: 50%-70%, IVC: 25 to <50%, and IVD: <25%. Bootstrapping was applied with 1,000 iterations, and final stage assignments were made based on the most commonly occurring assignment. Unadjusted OS was estimated. Validation analyses were conducted using SEER and NCDB. RESULTS At a median follow-up of 52.9 months, the median OS of the original cohort (N = 42,467) was 35.4 months (95% CI, 34.8 to 35.9). RPA stratified patients into 53 groups with 3-year OS rates ranging from 73.5% to 5.7%; these groups were amalgamated into four stage groups: 3-year OS, A = 73.2%, B = 61.9%, C = 40.1%, and D = 17% (log-rank P < .001). After bootstrapping, the survival outcomes for the four stages remained significantly different (log-rank P < .001). This staging system was then validated using SEER data (N = 20,469) and a separate cohort from the NCDB (N = 7,645) (both log-rank P < .001). CONCLUSION Our findings regarding the heterogeneity in outcomes for patients with dnMBC could guide future revisions of the current American Joint Committee on Cancer staging guidelines for patients with newly diagnosed stage IV disease. Our findings should be independently confirmed.
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
Vivi发布了新的文献求助10
2秒前
2秒前
4秒前
PANYIAO完成签到,获得积分10
5秒前
5秒前
灵剑山完成签到 ,获得积分10
6秒前
小蘑菇应助harmy采纳,获得10
7秒前
9Songs发布了新的文献求助10
7秒前
尊敬半仙发布了新的文献求助10
7秒前
8秒前
Aan完成签到,获得积分10
9秒前
和谐的素发布了新的文献求助10
12秒前
零零柒完成签到,获得积分10
13秒前
14秒前
烟花应助12采纳,获得10
14秒前
纯真的夏兰完成签到,获得积分10
17秒前
YYMY2022发布了新的文献求助10
17秒前
18秒前
Lucas应助和谐的素采纳,获得10
19秒前
19秒前
20秒前
NexusExplorer应助踏实的初晴采纳,获得10
20秒前
缥缈的剑鬼完成签到 ,获得积分10
21秒前
轩轩1发布了新的文献求助10
22秒前
22秒前
幽默的季节完成签到 ,获得积分10
22秒前
珍珠奶茶完成签到,获得积分10
26秒前
多情万宝路完成签到,获得积分10
27秒前
27秒前
友好的小虾米完成签到,获得积分10
28秒前
28秒前
31秒前
砚田青衿发布了新的文献求助10
31秒前
文献博士发布了新的文献求助10
31秒前
CucRuotThua完成签到,获得积分10
32秒前
33秒前
33秒前
37秒前
CucRuotThua发布了新的文献求助200
39秒前
molihuakai应助xmhxpz采纳,获得10
41秒前
高分求助中
Markov Chain Monte Carlo 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
Common Foundations of American and East Asian Modernisation: From Alexander Hamilton to Junichero Koizumi 2000
Weaponeering: An Introduction Fourth Edition, Volume 1 1000
Advanced Weaponeering Fourth Edition, Volume 2 1000
Curating Socialism: A Handbook of International Art Exhibitions 1947-1989 750
悉尼大学博士学位论文,题目:Modelling and testing of one-sided stitched laminated composites. 作者:Kristopher P. Plain 700
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 7523921
求助须知:如何正确求助?哪些是违规求助? 9110671
关于积分的说明 19454883
捐赠科研通 7126998
什么是DOI,文献DOI怎么找? 3255190
关于科研通互助平台的介绍 2423257
邀请新用户注册赠送积分活动 2242158