Association between gene expression signatures and clinical outcomes of pembrolizumab versus paclitaxel in advanced gastric cancer: exploratory analysis from the randomized, controlled, phase III KEYNOTE-061 trial

医学 彭布罗利珠单抗 肿瘤科 内科学 无进展生存期 癌症 癌症研究 总体生存率 免疫疗法
作者
Kohei Shitara,Maria Di Bartolomeo,Mario Mandalà,Min‐Hee Ryu,Christian Caglevic,Tomasz Olesiński,Hyun Cheol Chung,Kei Muro,Eray Goekkurt,Ray McDermott,Wasat Mansoor,Zev A. Wainberg,Chie‐Schin Shih,Julie Kobie,Michael Nebozhyn,Răzvan Cristescu,Z. Alexander Cao,Andrey Loboda,Mustafa Özgüroğlu
出处
期刊:Journal for ImmunoTherapy of Cancer [BMJ]
卷期号:11 (6): e006920-e006920 被引量:23
标识
DOI:10.1136/jitc-2023-006920
摘要

Background In the randomized, controlled, phase III KEYNOTE-061 trial, second-line pembrolizumab did not significantly prolong overall survival (OS) versus paclitaxel in patients with PD-L1-positive (combined positive score ≥1) advanced gastric/gastroesophageal junction (G/GEJ) cancer but did elicit a longer duration of response and offered a favorable safety profile. This prespecified exploratory analysis was conducted to evaluate associations between tumor gene expression signatures and clinical outcomes in the phase III KEYNOTE-061 trial. Methods Using RNA sequencing data obtained from formalin-fixed, paraffin-embedded baseline tumor tissue samples, we evaluated the 18-gene T-cell-inflamed gene expression profile (Tcell inf GEP) and 10 non-Tcell inf GEP signatures (angiogenesis, glycolysis, granulocytic myeloid-derived suppressor cell (gMDSC), hypoxia, monocytic MDSC (mMDSC), MYC, proliferation, RAS, stroma/epithelial-to-mesenchymal transition/transforming growth factor-β, WNT). The association between each signature on a continuous scale and outcomes was analyzed using logistic (objective response rate (ORR)) and Cox proportional hazards regression (progression-free survival (PFS) and OS). One-sided (pembrolizumab) and two-sided (paclitaxel) p values were calculated for Tcell inf GEP (prespecified α=0.05) and the 10 non-Tcell inf GEP signatures (multiplicity-adjusted; prespecified α=0.10). Results RNA sequencing data were available for 137 patients in each treatment group. Tcell inf GEP was positively associated with ORR (p=0.041) and PFS (p=0.026) for pembrolizumab but not paclitaxel (p>0.05). The Tcell inf GEP-adjusted mMDSC signature was negatively associated with ORR (p=0.077), PFS (p=0.057), and OS (p=0.033) for pembrolizumab, while the Tcell inf GEP-adjusted glycolysis (p=0.018), MYC (p=0.057), and proliferation (p=0.002) signatures were negatively associated with OS for paclitaxel. Conclusions This exploratory analysis of tumor Tcell inf GEP showed associations with ORR and PFS for pembrolizumab but not for paclitaxel. Tcell inf GEP-adjusted mMDSC signature was negatively associated with ORR, PFS, and OS for pembrolizumab but not paclitaxel. These data suggest myeloid-driven suppression may play a role in resistance to PD-1 inhibition in G/GEJ cancer and support a strategy of considering immunotherapy combinations which target this myeloid axis. Trial registration number NCT02370498 .
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
YZ完成签到,获得积分10
刚刚
wanci的应助被chen采纳,获得10
1秒前
kk_happy完成签到,获得积分10
2秒前
3秒前
百事从欢发布了新的文献求助10
4秒前
寒冷一手完成签到,获得积分10
5秒前
6秒前
上官若男的应助被Janus采纳,获得10
6秒前
7秒前
heqiancan发布了新的文献求助20
8秒前
晚风完成签到,获得积分10
9秒前
在水一方的应助被百事从欢采纳,获得10
9秒前
9秒前
李悟尔发布了新的文献求助10
10秒前
momo123发布了新的文献求助10
10秒前
11秒前
11秒前
Clarissa完成签到 ,获得积分10
11秒前
12秒前
13秒前
XinAn完成签到,获得积分10
13秒前
Shea发布了新的文献求助10
15秒前
Ammr发布了新的文献求助10
15秒前
15秒前
momo123完成签到,获得积分10
16秒前
18秒前
19秒前
19秒前
sinFlee发布了新的文献求助10
20秒前
大个的应助被sunny采纳,获得10
20秒前
20秒前
大侠发布了新的文献求助10
21秒前
Autaro发布了新的文献求助10
21秒前
哈哈哈发布了新的文献求助10
22秒前
majiaqi发布了新的文献求助10
22秒前
王宇洁发布了新的文献求助10
23秒前
JamesPei的应助被背后的半雪采纳,获得10
23秒前
23秒前
秋qiu完成签到,获得积分10
24秒前
lin发布了新的文献求助10
24秒前
高分求助中
(应助此贴封号)通过应助OA文献获取积分 10000
Composite Materials Handbook Volume 1 - Revision H 1000
Composite Materials Handbook Volume 3 - Revision H 1000
Rosenblum, Global Change Biology 800
Computational Chemical Reaction Engineering: Modeling, Simulation, and Design with MATLAB 600
Organizational Behavior 510
Management and the Arts 510
热门求助领域 (近24小时)
化学 材料科学 医学 生物 计算机科学 工程类 纳米技术 内科学 物理 有机化学 化学工程 生物化学 复合材料 光电子学 细胞生物学 心理学 量子力学 催化作用 物理化学 电极
热门帖子
关注 科研通微信公众号,转发送积分 7805646
求助须知:如何正确求助?哪些是违规求助? 9339245
关于积分的说明 20495380
捐赠科研通 7397887
什么是DOI,文献DOI怎么找? 3327927
关于科研通互助平台的介绍 2474671
邀请新用户注册赠送积分活动 2346045