Programmed Death Ligand-1 (PD-L1) Expression in Cervical Squamous Cell Carcinoma: Does it Correlate With Outcomes?

医学 内科学 阶段(地层学) 肿瘤科 比例危险模型 宫颈癌 生存分析 PD-L1 癌症 免疫组织化学 多元分析 免疫疗法 生物 古生物学
作者
Ashley L. Monsrud,Vaidehi Avadhani,Marina Mošunjac,Lisa Flowers,Uma Krishnamurti
出处
期刊:International Journal of Gynecological Pathology [Lippincott Williams & Wilkins]
卷期号:42 (6): 535-543 被引量:6
标识
DOI:10.1097/pgp.0000000000000975
摘要

Cervical cancer is one of the most common gynecological malignancies. Upregulation of programmed death ligand-1 (PD-L1), an immunoregulatory protein, is associated with an adverse outcomes in several malignancies. Most studies evaluating PD-L1 expression in cervical squamous cell carcinoma (CSCC) lack data on outcomes. In this study, we correlate PD-L1 expression with clinicopathologic factors and clinical outcomes in invasive CSCC. Seventy-three cases of CSCC from 2010 to 2018 were immunostained for PD-L1. A combined positive score (CPS) of ≥1 and ≥10 was correlated with age, stage, and survival outcomes. Kaplan-Meier curves for progression-free survival and overall survival were plotted and compared using the log-rank test. Cox regression analysis was performed to identify significant prognostic factors (2-tailed P <0.05 was considered statistically significant). With CPS ≥1 or ≥10 as the cut-off, PD-L1 was positive in 52/73 (71.2%) and 23/73 (31.5%) of cases, respectively. PD-L1 positive patients present at a higher stage of disease, especially those with CPS ≥10. With CPS of ≥10 as the cut-off, the 5-yr progression-free survival and 5-yr overall survival were significantly lower ( P = 0.034 and 0.012, respectively). Only stage was statistically significant for worse overall survival on multivariate analysis. PD-L1 positive patients present at a higher stage of disease, and stage is an independent prognostic indicator for adverse outcomes in CSCC. This study highlights the potential of PD-L1 targeted therapy in patients with CSCC.
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
刚刚
明亮的浩天完成签到 ,获得积分10
刚刚
JiaY发布了新的文献求助10
1秒前
1秒前
wang456完成签到,获得积分10
2秒前
3秒前
Soda完成签到,获得积分10
3秒前
3秒前
无情的山雁完成签到 ,获得积分10
3秒前
白也完成签到,获得积分10
4秒前
song完成签到,获得积分10
4秒前
4秒前
Rena发布了新的文献求助10
4秒前
神棍喜来乐完成签到,获得积分10
5秒前
dxzdxj发布了新的文献求助10
5秒前
oxox发布了新的文献求助10
5秒前
bkagyin应助微笑的笑卉采纳,获得10
6秒前
科研通AI2S应助胡紫润采纳,获得10
6秒前
6秒前
温软完成签到,获得积分10
7秒前
7秒前
xuyujia完成签到,获得积分10
7秒前
ZXecho发布了新的文献求助10
8秒前
研友小福应助王圣奇采纳,获得20
9秒前
9秒前
9秒前
淡淡的奎完成签到 ,获得积分10
10秒前
DW应助wyf采纳,获得10
11秒前
温软发布了新的文献求助10
11秒前
11秒前
11秒前
meng完成签到 ,获得积分10
11秒前
桐桐应助不吃青菜采纳,获得50
12秒前
沙心发布了新的文献求助30
13秒前
CharmyKk发布了新的文献求助10
13秒前
纯真忆秋发布了新的文献求助10
14秒前
15秒前
天天快乐应助糟糕的黎云采纳,获得10
15秒前
Yuenna完成签到,获得积分20
17秒前
17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
Principles of town planning: translating concepts to applications 1000
Management and the Arts 510
Matrix Methods in Data Mining and Pattern Recognition Second Edition 510
核安全综合知识2024版 500
Photothermal Science and Techniques 500
Essentials of Carbohydrate Chemistry and Biochemistry, 4th Edition 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 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 7718909
求助须知:如何正确求助?哪些是违规求助? 9272698
关于积分的说明 20093463
捐赠科研通 7294696
什么是DOI,文献DOI怎么找? 3299605
关于科研通互助平台的介绍 2453455
邀请新用户注册赠送积分活动 2306856