PD-L1 expression of the residual tumor serves as a prognostic marker in local advanced breast cancer after neoadjuvant chemotherapy

医学 乳腺癌 肿瘤科 危险系数 肿瘤浸润淋巴细胞 内科学 化疗 免疫组织化学 FOXP3型 癌症 比例危险模型 新辅助治疗 CD8型 乳房切除术 免疫系统 免疫疗法 免疫学 置信区间
作者
Sheng Chen,Ruo Xi Wang,Yin Liu,Yan Wen,Zhi Ming Shao
出处
期刊:International Journal of Cancer [Wiley]
卷期号:140 (6): 1384-1395 被引量:37
标识
DOI:10.1002/ijc.30552
摘要

This study sought to investigate the prevalence of programmed death ligand 1 (PD-L1) and its prognostic value in patients with residual tumors after neoadjuvant chemotherapy (NCT) for locally advanced breast cancer. A total of 309 patients considered as non-pathological complete responders (non-pCR) after NCT followed by mastectomy were selected. The expression of PD-L1 and tumor-infiltrating lymphocytes (TILs) in residual breast cancer cells was assessed by immunohistochemistry in surgical specimens. The median density was used to classify PD-L1 expression from low to high. The prognostic value of various clinicopathological factors was evaluated. The expression of PD-L1 was more commonly observed in patients with low levels of total TILs (p < 0.001), high levels of FOXP3+ TILs (p < 0.001) and low levels of CD8+ TILs (p < 0.001). This served as an independent prognostic factor for both relapse-free survival (Hazard ratio = 1.824, p = 0.013) and overall survival (OS) (Hazard ratio = 2.585, p = 0.001). High expression of PD-L1 was correlated to worse survival, which is most significantly observed in triple-negative patients. Patients classified as PD-L1-high/CD8-low exhibited relatively unfavorable survival, whereas patients with either low expression of PD-L1 or high expression of CD8 had similar outcomes. PD-L1 expression in residual tumor can be used as a prognostic marker in non-pCR patients after receiving NCT for breast cancer, which highlights the importance of immune evasion in the therapeutic vulnerability of chemoresistant cancer cells as well as the potential of anti-PD-L1 treatments in non-pCR responders.

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
1秒前
2秒前
2秒前
科研通AI2S应助伶俐的血茗采纳,获得30
2秒前
123567发布了新的文献求助10
3秒前
清风发布了新的文献求助10
3秒前
斯文败类应助alan66采纳,获得10
3秒前
缓慢的书蝶完成签到 ,获得积分10
4秒前
4秒前
你好完成签到,获得积分10
4秒前
桐桐应助火绒草采纳,获得10
4秒前
KINGAZX发布了新的文献求助10
5秒前
优秀静珊完成签到,获得积分10
6秒前
wjxdsg发布了新的文献求助10
6秒前
6秒前
LiS发布了新的文献求助10
6秒前
33完成签到,获得积分20
6秒前
科研通AI6.3应助锂铂采纳,获得30
7秒前
小giao吃不饱完成签到,获得积分10
9秒前
bb完成签到,获得积分10
9秒前
9秒前
ljhui完成签到,获得积分20
10秒前
10秒前
万能图书馆应助liliuuuuuuuu采纳,获得10
11秒前
Snmmer发布了新的文献求助10
11秒前
12秒前
alan66完成签到,获得积分20
12秒前
思源应助Ellie采纳,获得10
12秒前
13秒前
zhangwenkang发布了新的文献求助10
13秒前
蓝天发布了新的文献求助10
13秒前
13秒前
逃跑的想表白的你猜完成签到,获得积分10
13秒前
LG关闭了LG文献求助
14秒前
15秒前
15秒前
今后应助xiewuhua采纳,获得10
16秒前
alan66发布了新的文献求助10
16秒前
ShiyuZuo完成签到,获得积分10
16秒前
钦星的爹完成签到,获得积分10
16秒前
高分求助中
Overcoming Stigma and Bias in Obesity Management 1200
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 500
Bounds for Statistical Estimation in Semiparametric Models 500
Forced degradation and stability indicating LC method for Letrozole: A stress testing guide 500
Ideology and Meaning-Making under the Putin Regime 450
Adhesion Science: Principles & Practice 400
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 6492681
求助须知:如何正确求助?哪些是违规求助? 8290272
关于积分的说明 17690439
捐赠科研通 5584589
什么是DOI,文献DOI怎么找? 2915411
邀请新用户注册赠送积分活动 1892511
关于科研通互助平台的介绍 1750705