Plasma tsRNAs as novel diagnostic biomarkers for renal cell carcinoma

肾细胞癌 医学 肿瘤科 泌尿科 内科学
作者
Meng Ding,Wanqing Zhou,Wenyuan Chen,Wenjing Mo,Xinyue Guo,Yuhang Li,Changwei Ji,Guang‐Xiang Liu,Wenli Diao,Hongqian Guo
出处
期刊:Clinical and translational medicine [Wiley]
卷期号:14 (2)
标识
DOI:10.1002/ctm2.1575
摘要

Plasma tsRNAs as novel diagnostic biomarkers for renal cell carcinomaDear Editor, Early diagnosis greatly benefits renal cell carcinoma (RCC) patients with remarkable higher survival. 1Whereas, no appropriate liquid-biopsy biomarkers has been applied to RCC diagnosis in clinic so far. 2 Transfer RNA-derived small RNAs (tsRNAs), a class of newly discovered noncoding RNAs, are stable and abundant in circulation, promising in noninvasive early diagnosis of cancer. 3,4Here, we explore the diagnosis values and biological functions of plasma tsRNAs in RCC for the first time.The study was evaluated and authorised by the Ethics Committee of Nanjing Drum Tower Hospital (2021-582-01).The research route diagram was shown in Figure S1.First, to explore the distinct plasma tsRNA expression profile in RCC patients, we performed small RNA sequencing using RNA extracted individually from plasma of five RCC patients and five healthy controls.The tsRNA expression profile in plasma of RCC patients were obviously changed (Figure 1A), and among 657 tsRNAs detected, 71 tsRNAs were significantly altered (Figure 1B).Considering the tsRNAs expression levels (CPM > 10) and length (due to the length limitation, the length of tsRNAs should ≥ 17 nt when assessed by RT-qPCR), we selected 12 tsRNAs for further validation in an independent training set (30 healthy controls and 32 RCC patients) using RT-qPCR.The detection limits of RT-qPCR assay using tsRNA specific primers were evaluated by the standard curves developed with corresponding synthetic tsRNA oligonucleotides (Figure S2, Table S1).In this training set, 5 out of the 12 tsRNAs (tRF-19-DRMD5112, tRF-18-8R6Q46D2, tRF-17-884U1D2, tRF-17-8SOUPR2 and tRF-28-87R8WP9I1E0K) were significantly reduced in RCC patients, which was also consistent with the sequencing data (Figure 1C; Tables S2 andS3).Whereafter, the levels of these 5 tsRNAs were further confirmed in another larger validation set (99 healthy controls and 120 RCC patients), and showed a consistent trend (p < .0001for all tsRNAs; Figure 2A and Table S4).Combining the training and Meng Ding and Wanqing Zhou contributed equally.

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
grace完成签到,获得积分10
刚刚
明月照我程完成签到,获得积分10
1秒前
韩野发布了新的文献求助10
1秒前
2秒前
SARON完成签到 ,获得积分10
2秒前
Orange应助美丽的涵菡采纳,获得10
3秒前
129600发布了新的文献求助10
3秒前
lulu8809完成签到,获得积分10
3秒前
dmmmm0903完成签到,获得积分10
3秒前
3秒前
合适的自行车完成签到 ,获得积分10
3秒前
xxx完成签到,获得积分10
4秒前
天梦星玄发布了新的文献求助10
4秒前
CHY完成签到,获得积分20
5秒前
EmmaLei发布了新的文献求助10
8秒前
852应助逆袭者采纳,获得10
8秒前
泓泽完成签到 ,获得积分10
9秒前
ee应助whuhustwit采纳,获得10
10秒前
蓝莓橘子酱应助小纪采纳,获得10
10秒前
allen发布了新的文献求助10
11秒前
CodeCraft应助彳亍采纳,获得10
11秒前
11秒前
无花果应助热心的嫣采纳,获得10
13秒前
129600完成签到,获得积分10
13秒前
Keira_Chang完成签到,获得积分10
15秒前
15秒前
Peng完成签到,获得积分10
16秒前
17秒前
Lucas应助Fanny采纳,获得10
18秒前
18秒前
天梦星玄完成签到,获得积分10
18秒前
19秒前
19秒前
蓝莓橘子酱应助wzzznh采纳,获得10
20秒前
20秒前
20秒前
美丽的涵菡完成签到 ,获得积分10
21秒前
Chnious发布了新的文献求助10
21秒前
Radicaldev完成签到,获得积分10
22秒前
22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
Modern Epidemiology, Fourth Edition 5000
Handbook of pharmaceutical excipients, Ninth edition 5000
Digital Twins of Advanced Materials Processing 2000
Weaponeering, Fourth Edition – Two Volume SET 2000
Polymorphism and polytypism in crystals 1000
Signals, Systems, and Signal Processing 610
热门求助领域 (近24小时)
化学 材料科学 医学 生物 工程类 纳米技术 有机化学 生物化学 化学工程 物理 计算机科学 复合材料 内科学 催化作用 物理化学 光电子学 电极 冶金 基因 遗传学
热门帖子
关注 科研通微信公众号,转发送积分 6023016
求助须知:如何正确求助?哪些是违规求助? 7645959
关于积分的说明 16171105
捐赠科研通 5171318
什么是DOI,文献DOI怎么找? 2767068
邀请新用户注册赠送积分活动 1750461
关于科研通互助平台的介绍 1637029