[Research on the evaluation of the efficacy of immunotherapy for gastric cancer by tertiary lymphoid structures].

三级护理 免疫疗法 癌症 医学 癌症免疫疗法 肿瘤科 内科学
作者
S F Li,H J Zhang
出处
期刊:PubMed 卷期号:47 (10): 1018-1025
标识
DOI:10.3760/cma.j.cn112152-20250518-00229
摘要

Objective: To investigate the prognostic and predictive value of tertiary lymphoid structures (TLS) in gastric cancer patients undergoing immunotherapy. Methods: Clinical and pathological data, along with tumor tissue samples, were collected from 33 gastric cancer patients who received immunotherapy at Zhongda Hospital, Southeast University from January 2020 to December 2024. The density of tertiary lymphoid structures (TLS) and expression patterns of CD3, CD20, PNAd, and BCL6 were systematically evaluated using hematoxylin-eosin (H&E) staining and immunohistochemical (IHC) analysis. Statistical analyses were performed to determine the associations between TLS characteristics and clinical outcomes, including objective response rate (ORR), disease control rate (DCR), and progression-free survival (PFS). Results: Patients in the TLS-high infiltration group (TLSHigh) demonstrated significantly better outcomes compared to that of the TLS-low group (TLSLow), with higher ORR (58.8% vs 18.8%, P=0.019), DCR (94.1% vs 37.5%, <0.001), and markedly prolonged median PFS (276 vs 67 days, P<0.000 1). Similarly, the BCL6-high expression group (BCL6High) showed superior treatment responses versus the BCL6-low group (BCL6Low), with significantly higher ORR (64.7% vs 12.5%, P=0.002), DCR (100.0% vs 31.3%, P<0.001), and extended PFS (P<0.001). Univariate and multivariable Cox regression confirmed TLS infiltration level as an independent favorable prognostic factor for gastric cancer patients receiving immunotherapy (HR=0.147, 95% CI: 0.022-0.964, P=0.046). Receiver operating characteristic (ROC) curve analysis revealed excellent predictive accuracy for both TLS infiltration [area under the curve (AUC)=0.885, P<0.001] and the BCL6 scoring model (AUC=0.890, P<0.001) in anticipating immunotherapy response. Conclusion: TLS density and BCL6 expression may serve as dual predictive and prognostic biomarkers for gastric cancer immunotherapy, highlighting their clinical utility in patient stratification and treatment guidance.

科研通智能强力驱动
Strongly Powered by AbleSci AI
更新
PDF的下载单位、IP信息已删除 (2025-6-4)

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
杜御江发布了新的文献求助10
刚刚
zhangyujin完成签到,获得积分10
1秒前
Lauren完成签到 ,获得积分10
1秒前
及时雨完成签到 ,获得积分10
3秒前
量子星尘发布了新的文献求助10
4秒前
sanxuan完成签到 ,获得积分10
5秒前
线条完成签到 ,获得积分10
5秒前
JevonCheung完成签到 ,获得积分10
7秒前
幼儿园老大完成签到,获得积分10
8秒前
落月鹤影完成签到,获得积分10
9秒前
大大大完成签到 ,获得积分10
12秒前
12秒前
yxrose完成签到,获得积分10
12秒前
医学事业完成签到,获得积分10
14秒前
愤怒的树叶完成签到,获得积分10
16秒前
沉积岩完成签到,获得积分10
17秒前
风信子完成签到,获得积分10
18秒前
雷欧奥特曼完成签到,获得积分10
18秒前
负责金毛完成签到,获得积分10
20秒前
学术小子完成签到,获得积分10
21秒前
量子星尘发布了新的文献求助150
21秒前
复杂勒完成签到,获得积分10
23秒前
一颗橙完成签到,获得积分10
23秒前
无语的断缘完成签到,获得积分10
26秒前
田田田完成签到 ,获得积分10
26秒前
李白完成签到,获得积分10
28秒前
28秒前
六子完成签到,获得积分10
29秒前
沐沐汐完成签到 ,获得积分10
31秒前
不爱吃韭菜完成签到 ,获得积分10
33秒前
TanXu完成签到 ,获得积分10
34秒前
热情的乘风完成签到,获得积分20
35秒前
可了不得完成签到,获得积分10
35秒前
丹D完成签到,获得积分10
36秒前
远之完成签到 ,获得积分10
38秒前
38秒前
SCH_zhu完成签到,获得积分10
38秒前
dyd完成签到,获得积分10
38秒前
38秒前
向北游发布了新的文献求助10
40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
Cowries - A Guide to the Gastropod Family Cypraeidae 1200
Handbook of Milkfat Fractionation Technology and Application, by Kerry E. Kaylegian and Robert C. Lindsay, AOCS Press, 1995 1000
Nach dem Geist? 500
The Affinity Designer Manual - Version 2: A Step-by-Step Beginner's Guide 500
Affinity Designer Essentials: A Complete Guide to Vector Art: Your Ultimate Handbook for High-Quality Vector Graphics 500
Optimisation de cristallisation en solution de deux composés organiques en vue de leur purification 500
热门求助领域 (近24小时)
化学 医学 生物 材料科学 工程类 有机化学 内科学 生物化学 物理 计算机科学 纳米技术 遗传学 基因 复合材料 化学工程 物理化学 病理 催化作用 免疫学 量子力学
热门帖子
关注 科研通微信公众号,转发送积分 5044703
求助须知:如何正确求助?哪些是违规求助? 4274263
关于积分的说明 13323482
捐赠科研通 4087994
什么是DOI,文献DOI怎么找? 2236646
邀请新用户注册赠送积分活动 1244030
关于科研通互助平台的介绍 1172086