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
旧梦发布了新的文献求助10
刚刚
小二郎应助落后立果采纳,获得20
刚刚
溟夔蝶魅发布了新的文献求助10
1秒前
海绵宝宝完成签到 ,获得积分10
1秒前
深情元蝶发布了新的文献求助10
2秒前
isvv完成签到,获得积分10
2秒前
3秒前
gingertea完成签到,获得积分10
4秒前
在水一方应助skt采纳,获得30
4秒前
jnshen完成签到 ,获得积分10
5秒前
JamesPei应助脆脆采纳,获得10
5秒前
dz发布了新的文献求助10
6秒前
科研通AI6.2应助晓风残月采纳,获得30
6秒前
7秒前
Rsoup完成签到,获得积分10
8秒前
zxcxcxzcxz完成签到,获得积分10
9秒前
轩辕断天发布了新的文献求助10
9秒前
9秒前
qq12完成签到,获得积分10
10秒前
FashionBoy应助全叔采纳,获得10
10秒前
科研通AI6.1应助科研人采纳,获得10
11秒前
打打应助果酱采纳,获得10
11秒前
Lucas应助辛菜头采纳,获得10
12秒前
hechunmei发布了新的文献求助10
12秒前
未来科研大牛应助Nature采纳,获得20
12秒前
星辰大海应助yyw采纳,获得10
12秒前
佳佳完成签到,获得积分20
12秒前
14秒前
共享精神应助傻大个采纳,获得10
15秒前
bk应助汪元昊采纳,获得10
16秒前
甜美山灵完成签到 ,获得积分10
16秒前
阿桁完成签到,获得积分10
16秒前
17秒前
lllllll完成签到,获得积分10
18秒前
19秒前
19秒前
大力小翠完成签到 ,获得积分10
20秒前
20秒前
20秒前
yuhuzhouye完成签到,获得积分20
21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
Introduction to Helicopter and Tiltrotor Flight Simulation, Second Edition 2500
卤化钙钛矿人工突触的研究 2000
Malcolm Fraser : a biography 700
Signals, Systems, and Signal Processing 610
Software that combines deep learning,3D reconstruction and CFD to analyze the state of carotid arteries from ultrasound imaging 600
Bounds for Statistical Estimation in Semiparametric Models 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 工程类 有机化学 化学工程 生物化学 计算机科学 物理 内科学 复合材料 催化作用 物理化学 光电子学 电极 细胞生物学 基因 无机化学
热门帖子
关注 科研通微信公众号,转发送积分 6500347
求助须知:如何正确求助?哪些是违规求助? 8295538
关于积分的说明 17703875
捐赠科研通 5597108
什么是DOI,文献DOI怎么找? 2918328
邀请新用户注册赠送积分活动 1895367
关于科研通互助平台的介绍 1756283