A Liquid Biopsy Signature for the Early Detection of Gastric Cancer in Patients

医学 队列 内科学 胃肠病学 生物标志物 阶段(地层学) 癌症 萎缩性胃炎 肠化生 活检 肿瘤科 病理 胃炎 生物 古生物学 生物化学
作者
Xin Guo,Yunhua Peng,Qiying Song,Jiangpeng Wei,Xinxin Wang,Ruokun Yi,Shenhui Xu,Xin Cheng,Xiaohua Li,Di Wu,Lubin Chen,Bo Wei,Xiaohui Lv,Gang Ji
出处
期刊:Gastroenterology [Elsevier]
卷期号:165 (2): 402-413.e13 被引量:12
标识
DOI:10.1053/j.gastro.2023.02.044
摘要

Background and Aims Diagnosing gastric cancer (GC) while the disease remains eligible for surgical resection is challenging. In view of this clinical challenge, novel and robust biomarkers for early detection thus improving prognosis of GC are necessary. The present study is to develop a blood-based long noncoding RNA (LR) signature for the early-detection of GC. Methods The present 3-step study incorporated data from 2141 patients, including 888 with GC, 158 with chronic atrophic gastritis, 193 with intestinal metaplasia, 501 healthy donors, and 401 with other gastrointestinal cancers. The LR profile of stage I GC tissue samples were analyzed using transcriptomic profiling in discovery phase. The extracellular vesicle (EV)–derived LR signature was identified with a training cohort (n = 554) and validated with 2 external cohorts (n = 429 and n = 504) and a supplemental cohort (n = 69). Results In discovery phase, one LR (GClnc1) was found to be up-regulated in both tissue and circulating EV samples with an area under the curve (AUC) of 0.9369 (95% confidence interval [CI], 0.9073–0.9664) for early-stage GC (stage I/II). The diagnostic performance of this biomarker was further confirmed in 2 external validation cohorts (Xi’an cohort, AUC: 0.8839; 95% CI: 0.8336–0.9342; Beijing cohort, AUC: 0.9018; 95% CI: 0.8597–0.9439). Moreover, EV-derived GClnc1 robustly distinguished early-stage GC from precancerous lesions (chronic atrophic gastritis and intestinal metaplasia) and GC with negative traditional gastrointestinal biomarkers (CEA, CA72-4, and CA19-9). The low levels of this biomarker in postsurgery and other gastrointestinal tumor plasma samples indicated its GC specificity. Conclusions EV-derived GClnc1 serves as a circulating biomarker for the early detection of GC, thus providing opportunities for curative surgery and improved survival outcomes. Diagnosing gastric cancer (GC) while the disease remains eligible for surgical resection is challenging. In view of this clinical challenge, novel and robust biomarkers for early detection thus improving prognosis of GC are necessary. The present study is to develop a blood-based long noncoding RNA (LR) signature for the early-detection of GC. The present 3-step study incorporated data from 2141 patients, including 888 with GC, 158 with chronic atrophic gastritis, 193 with intestinal metaplasia, 501 healthy donors, and 401 with other gastrointestinal cancers. The LR profile of stage I GC tissue samples were analyzed using transcriptomic profiling in discovery phase. The extracellular vesicle (EV)–derived LR signature was identified with a training cohort (n = 554) and validated with 2 external cohorts (n = 429 and n = 504) and a supplemental cohort (n = 69). In discovery phase, one LR (GClnc1) was found to be up-regulated in both tissue and circulating EV samples with an area under the curve (AUC) of 0.9369 (95% confidence interval [CI], 0.9073–0.9664) for early-stage GC (stage I/II). The diagnostic performance of this biomarker was further confirmed in 2 external validation cohorts (Xi’an cohort, AUC: 0.8839; 95% CI: 0.8336–0.9342; Beijing cohort, AUC: 0.9018; 95% CI: 0.8597–0.9439). Moreover, EV-derived GClnc1 robustly distinguished early-stage GC from precancerous lesions (chronic atrophic gastritis and intestinal metaplasia) and GC with negative traditional gastrointestinal biomarkers (CEA, CA72-4, and CA19-9). The low levels of this biomarker in postsurgery and other gastrointestinal tumor plasma samples indicated its GC specificity. EV-derived GClnc1 serves as a circulating biomarker for the early detection of GC, thus providing opportunities for curative surgery and improved survival outcomes.
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
更新
大幅提高文件上传限制,最高150M (2024-4-1)

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
鲁鲁班完成签到,获得积分10
刚刚
2秒前
耍酷的剑身完成签到,获得积分10
2秒前
3秒前
5秒前
6秒前
brk发布了新的文献求助10
7秒前
9秒前
个性的紫菜应助饱满芷卉采纳,获得10
10秒前
刘志完成签到,获得积分10
12秒前
13秒前
冰冰发布了新的文献求助10
14秒前
14秒前
15秒前
雍以菱发布了新的文献求助10
18秒前
宇文元芹完成签到 ,获得积分0
19秒前
0911发布了新的文献求助10
20秒前
星辰大海应助Chara_kara采纳,获得10
20秒前
怡崽发布了新的文献求助10
20秒前
可爱的函函应助研友_Z119gZ采纳,获得10
21秒前
24秒前
无我方显真我完成签到,获得积分10
27秒前
SciGPT应助怡崽采纳,获得10
28秒前
29秒前
30秒前
32秒前
英姑应助陈住气采纳,获得10
37秒前
小马甲应助bo_okerzzz采纳,获得10
46秒前
酷波er应助bo_okerzzz采纳,获得10
47秒前
无花果应助bo_okerzzz采纳,获得10
47秒前
852应助bo_okerzzz采纳,获得10
47秒前
思源应助bo_okerzzz采纳,获得10
47秒前
科目三应助bo_okerzzz采纳,获得10
47秒前
田様应助bo_okerzzz采纳,获得10
47秒前
李健的小迷弟应助bo_okerzzz采纳,获得10
47秒前
在水一方应助bo_okerzzz采纳,获得10
47秒前
小马甲应助bo_okerzzz采纳,获得10
47秒前
Hello应助yy采纳,获得10
48秒前
48秒前
Chaohuan完成签到,获得积分10
49秒前
高分求助中
Thermodynamic data for steelmaking 3000
Counseling With Immigrants, Refugees, and Their Families From Social Justice Perspectives pages 800
Electrochemistry 500
Statistical Procedures for the Medical Device Industry 400
藍からはじまる蛍光性トリプタンスリン研究 400
Cardiology: Board and Certification Review 400
A History of the Global Economy 350
热门求助领域 (近24小时)
化学 材料科学 医学 生物 有机化学 工程类 生物化学 纳米技术 物理 内科学 计算机科学 化学工程 复合材料 遗传学 基因 物理化学 催化作用 电极 光电子学 量子力学
热门帖子
关注 科研通微信公众号,转发送积分 2367438
求助须知:如何正确求助?哪些是违规求助? 2076346
关于积分的说明 5194381
捐赠科研通 1803573
什么是DOI,文献DOI怎么找? 900545
版权声明 558031
科研通“疑难数据库(出版商)”最低求助积分说明 480605