清晨好,您是今天最早来到科研通的研友!由于当前在线用户较少,发布求助请尽量完整地填写文献信息,科研通机器人24小时在线,伴您科研之路漫漫前行!

Association of Molecular Subtypes with Pathologic Response, PFS, and OS in a Phase II Study of COXEN with Neoadjuvant Chemotherapy for Muscle-invasive Bladder Cancer

膀胱切除术 内科学 吉西他滨 医学 膀胱癌 顺铂 肿瘤科 化疗 ERCC1公司 新辅助治疗 生物 癌症 基因 核苷酸切除修复 生物化学 乳腺癌 DNA修复
作者
Seth P. Lerner,David J. McConkey,Catherine M. Tangen,Joshua J. Meeks,Thomas W. Flaig,Xing Hua,Siamak Daneshmand,Ajjai Alva,M. Scott Lucia,Dan Theodorescu,Amir Goldkorn,Matthew I. Milowsky,Woonyoung Choi,Rick Bangs,Daniel L. Gustafson,Melissa Plets,Ian M. Thompson
出处
期刊:Clinical Cancer Research [American Association for Cancer Research]
卷期号:: OF1-OF6 被引量:2
标识
DOI:10.1158/1078-0432.ccr-23-0602
摘要

Abstract Purpose: The Coexpression Extrapolation (COXEN) gene expression model with chemotherapy-specific scores [for methotrexate, vinblastine, adriamycin, cisplatin (ddMVAC) and gemcitabine/cisplatin (GC)] was developed to identify responders to neoadjuvant chemotherapy (NAC). We investigated RNA-based molecular subtypes as additional predictive biomarkers for NAC response, progression-free survival (PFS), and overall survival (OS) in patients treated in S1314. Experimental Design: A total of 237 patients were randomized between four cycles of ddMVAC (51%) and GC (49%). On the basis of Affymetrix transcriptomic data, we determined subtypes using three classifiers: TCGA (k = 5), Consensus (k = 6), and MD Anderson (MDA; k = 3) and assessed subtype association with path response to NAC and determined associations with COXEN. We also tested whether each classifier contributed additional predictive power when added to a model based on predefined stratification (strat) factors (PS 0 vs. 1; T2 vs. T3, T4a). Results: A total of 155 patients had gene expression results, received at least three of four cycles of NAC, and had pT-N response based on radical cystectomy. TCGA three-group classifier basal-squamous (BS)/neuronal, luminal (Lum), Lum infiltrated, and GC COXEN score yielded the largest AUCs for pT0 (0.59, P = 0.28; 0.60, P = 0.18, respectively). For downstaging (<pT2), the three-category Consensus classifier [BS/neuroendocrine (NE)-like, Lum, stroma-rich] increased the AUC from 0.57 (strat factors alone) to 0.61 (P = 0.10). The MDA classifier AUC was 0.63 (P = 0.18) and the GC COXEN score AUC was 0.62 (P = 0.23), but neither significantly improved the AUC. There was no statistically significant association of stratification factors and subtypes with PFS or OS. Conclusions: The Consensus classifier, based in part on the TCGA and MDA classifiers, modestly improved prediction for pathologic downstaging but subtypes were not associated with PFS or OS.

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
陶醉巧凡完成签到,获得积分10
24秒前
浮游应助lawang采纳,获得10
1分钟前
浮游应助lawang采纳,获得10
1分钟前
浮游应助lawang采纳,获得10
1分钟前
浮游应助lawang采纳,获得10
1分钟前
浮游应助lawang采纳,获得10
1分钟前
浮游应助lawang采纳,获得10
1分钟前
浮游应助lawang采纳,获得10
1分钟前
浮游应助lawang采纳,获得10
1分钟前
iNk应助lawang采纳,获得10
1分钟前
科研通AI2S应助lawang采纳,获得10
1分钟前
Akim应助lawang采纳,获得10
1分钟前
量子星尘发布了新的文献求助10
2分钟前
饺子猫完成签到,获得积分10
2分钟前
2分钟前
lawang完成签到,获得积分10
2分钟前
两个榴莲完成签到,获得积分0
3分钟前
3分钟前
3分钟前
朱文韬发布了新的文献求助10
4分钟前
朱文韬完成签到,获得积分10
4分钟前
平淡卿完成签到 ,获得积分10
4分钟前
4分钟前
科研通AI6应助科研通管家采纳,获得10
4分钟前
量子星尘发布了新的文献求助10
4分钟前
li发布了新的文献求助10
4分钟前
kasumi完成签到 ,获得积分20
4分钟前
li完成签到,获得积分10
4分钟前
krajicek完成签到,获得积分10
5分钟前
5分钟前
6分钟前
bkagyin应助当里个当采纳,获得10
7分钟前
jinger完成签到 ,获得积分10
7分钟前
7分钟前
闻巷雨完成签到 ,获得积分10
7分钟前
7分钟前
tt完成签到,获得积分10
7分钟前
当里个当发布了新的文献求助10
7分钟前
7分钟前
傅嘉庆发布了新的文献求助10
7分钟前
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
2025-2031全球及中国金刚石触媒粉行业研究及十五五规划分析报告 9000
Encyclopedia of the Human Brain Second Edition 8000
Translanguaging in Action in English-Medium Classrooms: A Resource Book for Teachers 700
Real World Research, 5th Edition 680
Qualitative Data Analysis with NVivo By Jenine Beekhuyzen, Pat Bazeley · 2024 660
Superabsorbent Polymers 600
热门求助领域 (近24小时)
化学 材料科学 生物 医学 工程类 计算机科学 有机化学 物理 生物化学 纳米技术 复合材料 内科学 化学工程 人工智能 催化作用 遗传学 数学 基因 量子力学 物理化学
热门帖子
关注 科研通微信公众号,转发送积分 5681786
求助须知:如何正确求助?哪些是违规求助? 5013072
关于积分的说明 15176105
捐赠科研通 4841287
什么是DOI,文献DOI怎么找? 2595077
邀请新用户注册赠送积分活动 1548103
关于科研通互助平台的介绍 1506117