已入深夜,您辛苦了!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,伴您度过漫漫科研夜!祝你早点完成任务,早点休息,好梦!

Clinical Implications of The Cancer Genome Atlas Molecular Classification System in Esophagogastric Cancer

腺癌 微卫星不稳定性 肿瘤科 内科学 医学 癌症 临床意义 阶段(地层学) 生物信息学 生物 基因 遗传学 微卫星 古生物学 等位基因
作者
Henry Walch,Raktim Borpatragohain,Justin Jee,Walid K. Chatila,Christopher Fong,Steven B. Maron,Geoffrey Y. Ku,David H. Ilson,Yelena Y. Janjigian,Abraham J. Wu,Pari Shah,Daniel G. Coit,Manjit S. Bains,Valerie W. Rusch,Bernard J. Park,Matthew J. Bott,Katherine D. Gray,David R. Jones,Michael F. Berger,Nikolaus Schultz
出处
期刊:Clinical Cancer Research [American Association for Cancer Research]
卷期号:31 (10): 1912-1921 被引量:7
标识
DOI:10.1158/1078-0432.ccr-24-3473
摘要

PURPOSE: The Cancer Genome Atlas (TCGA) project defined four distinct molecular subtypes of esophagogastric adenocarcinoma: microsatellite instable (MSI), Epstein-Barr virus (EBV)-associated, genomically stable (GS), and chromosomally instable (CIN). However, an association between molecular subtypes and clinical outcomes has not been clearly demonstrated. Given few actionable biomarkers, we investigated the clinical relevance of TCGA classification system. EXPERIMENTAL DESIGN: We identified all patients with esophagogastric adenocarcinoma whose tumors underwent prospective next-generation sequencing using the Memorial Sloan Kettering-IMPACT assay from 2014 to 2023. We classified all tumors in accordance with TCGA methodology and correlated molecular subtypes with high-quality clinicopathologic data. RESULTS: Among 1,438 included patients, 941 had CIN, 344 had GS, 103 had MSI, and 50 had EBV tumors. Accounting for the clinical stage and tumor grade, molecular classification was independently associated with overall cancer-specific survival (P < 0.001) on Cox multivariable analysis. Furthermore, genomic signatures, patient demographics, pathologic responses to neoadjuvant therapy, patterns of recurrence, and metastatic organotropism differed significantly by molecular subtype. Although most distal esophageal and gastroesophageal junction tumors were CIN, up to 25% of these included GS, MSI, or EBV subtypes in contrast to TCGA. Random forest machine learning demonstrated that the molecular subtype is more influential in predicting response to treatment than tumor location. CONCLUSIONS: Molecular classification is independently prognostic and may warrant inclusion in future staging and treatment guidelines. Routine molecular profiling is clinically feasible and may play a role in the management of patients to help guide appropriate treatment selection and clinical trial enrollment in the place of tumor location.
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
隐形又柔发布了新的文献求助10
1秒前
王cc完成签到,获得积分10
2秒前
4秒前
伴青灯完成签到 ,获得积分10
4秒前
5秒前
WEileen完成签到 ,获得积分0
5秒前
传奇3应助organoid elegan采纳,获得10
6秒前
GIA完成签到,获得积分10
6秒前
一并超完成签到 ,获得积分10
9秒前
9秒前
anzy0316完成签到 ,获得积分10
11秒前
烟花应助ax采纳,获得10
12秒前
xl_c完成签到 ,获得积分10
13秒前
老年学术废物完成签到 ,获得积分10
13秒前
对对对完成签到 ,获得积分10
14秒前
隐形曼青应助ky小白白采纳,获得10
14秒前
称心忆灵完成签到,获得积分10
16秒前
希望天下0贩的0应助cen采纳,获得10
16秒前
檀多多发布了新的文献求助10
17秒前
19秒前
ax完成签到,获得积分20
20秒前
学习新思想完成签到,获得积分10
22秒前
sora98完成签到 ,获得积分0
23秒前
ax发布了新的文献求助10
24秒前
kkdg完成签到,获得积分10
26秒前
斯文的苡完成签到 ,获得积分10
28秒前
KKDG完成签到,获得积分10
31秒前
科研通AI6.4应助showmelove采纳,获得10
33秒前
35秒前
科研通AI6.4应助Xxyyzzz采纳,获得10
35秒前
千帆完成签到,获得积分10
36秒前
nature完成签到,获得积分10
37秒前
37秒前
生化爱科研完成签到,获得积分10
39秒前
稳重仇天完成签到,获得积分10
40秒前
ky小白白发布了新的文献求助10
40秒前
kaka完成签到,获得积分10
41秒前
赵彬旭发布了新的文献求助10
41秒前
ccdog128完成签到,获得积分10
44秒前
Suen发布了新的文献求助10
44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
Essentials of Carbohydrate Chemistry and Biochemistry, 4th Edition 800
Navigating Normative Orders. Interdisciplinary Perspectives 800
Organizational Behavior 510
Management and the Arts 510
Matrix Methods in Data Mining and Pattern Recognition Second Edition 510
CLSI VET01S-2024 Performance Standards for Antimicrobial Disk and Dilution Susceptibility Tests for Bacteria Isolated From Animals (7th Ed) 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 7754280
求助须知:如何正确求助?哪些是违规求助? 9300906
关于积分的说明 20259327
捐赠科研通 7336581
什么是DOI,文献DOI怎么找? 3310710
关于科研通互助平台的介绍 2461925
邀请新用户注册赠送积分活动 2323963