Risk of Recurrence in Patients With HER2+ Early-Stage Breast Cancer: Literature Analysis of Patient and Disease Characteristics

医学 肿瘤科 乳腺癌 内科学 疾病 阶段(地层学) 癌症 风险因素 体质指数 生物 古生物学
作者
Joyce O’Shaughnessy,William J. Gradishar,Ruth O’Regan,Vijayakrishna K. Gadi
出处
期刊:Clinical Breast Cancer [Elsevier BV]
卷期号:23 (4): 350-362 被引量:24
标识
DOI:10.1016/j.clbc.2023.03.007
摘要

Human epidermal growth factor receptor 2 (HER2) overexpression occurs in 15% to 20% of patients with early-stage breast cancers (EBCs). Without HER2-targeted therapy, 30% to 50% of patients relapse within 10 years, many developing incurable metastatic disease. This literature review was designed to identify and validate patient- and disease-related factors associated with recurrence in patients with HER2+ EBC. Peer-reviewed primary research articles and congress abstracts were identified by searching MEDLINE. Articles published in English from 2019 to 2022 were included to identify contemporary treatment options. Results were analyzed for the relationship between risk factors and surrogates of HER2+ EBC recurrence to determine how identified risk factors affected HER2+ EBC recurrence. Sixty-one articles and 65 abstracts that assessed age at diagnosis, body mass index (BMI), tumor size at diagnosis, hormone receptor (HR) status, pathologic complete response (pCR) status, and biomarkers were analyzed. We confirmed the results of previously published reviews reporting residual cancer burden >0, non-pCR, and fewer tumor-infiltrating lymphocytes (TILs) as risk factors of recurrence. HR status remained an important risk factor for recurrence, with HER2+/HR+ disease more likely to recur. Two or more positive lymph nodes, higher BMI, larger primary tumor size, and low Ki67 were more commonly associated with HER2+ EBC recurrence. The identification of patient and disease factors frequently associated with HER2+ EBC recurrence in the literature provides insight into potential recurrence risk factors. Further investigation into the risk factors identified in this review could lead to improved treatments for patients at high risk for HER2+ EBC recurrence.
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
darling发布了新的文献求助20
刚刚
在水一方应助80采纳,获得10
刚刚
科研通AI6.3应助jack采纳,获得10
1秒前
wuhhyyds发布了新的文献求助10
1秒前
今后应助Jindyla采纳,获得10
1秒前
所所应助氧化石墨烯采纳,获得10
1秒前
2秒前
Albert发布了新的文献求助10
2秒前
舒苏完成签到,获得积分10
3秒前
柳大宝发布了新的文献求助10
3秒前
一只眠羊完成签到 ,获得积分10
4秒前
4秒前
WCM发布了新的文献求助200
4秒前
机灵石头发布了新的文献求助10
4秒前
Wayne发布了新的文献求助10
5秒前
ding应助聪明铸海采纳,获得10
7秒前
脆脆鲨发布了新的文献求助10
7秒前
8秒前
8秒前
赘婿应助liu采纳,获得10
9秒前
9秒前
希望天下0贩的0应助ll采纳,获得10
9秒前
思源应助jack采纳,获得10
9秒前
yuan完成签到,获得积分10
10秒前
10秒前
核桃应助RUIRUIMAMA采纳,获得30
11秒前
12秒前
12秒前
12秒前
13秒前
鹭立江头发布了新的文献求助10
13秒前
脆脆鲨完成签到,获得积分10
13秒前
丘比特应助睡不醒采纳,获得10
13秒前
mof发布了新的文献求助10
14秒前
Ava应助binban128采纳,获得10
15秒前
我是雪豹发布了新的文献求助10
15秒前
15秒前
15秒前
15秒前
15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
日本現代怪異事典 副読本 700
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 650
Machine Learning for Asset Management and Pricing 600
Numerical analysis of the coupled atmosphere-ocean models (CAO II). II 600
Models for the coupled atmosphere and ocean 600
Évora na Idade Média 555
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 7382439
求助须知:如何正确求助?哪些是违规求助? 8989692
关于积分的说明 19122679
捐赠科研通 7021249
什么是DOI,文献DOI怎么找? 3227191
关于科研通互助平台的介绍 2390203
邀请新用户注册赠送积分活动 2208071