MicroRNA Biomarkers in Whole Blood for Detection of Pancreatic Cancer

医学 胰腺癌 队列 胰腺炎 内科学 小RNA 癌症 肿瘤科 胰腺炎,慢性 队列研究 胃肠病学 生物化学 基因 化学
作者
Nicolai A. Schultz,Christian Dehlendorff,Benny Vittrup Jensen,Jon Kroll Bjerregaard,Kaspar René Nielsen,Stig E. Bojesen,Dan Calatayud,Svend Erik Nielsen,Mette Yilmaz,Niels Henrik Holländer,Klaus Kaae Andersen,Julia S. Johansen
出处
期刊:JAMA [American Medical Association]
卷期号:311 (4): 392-392 被引量:412
标识
DOI:10.1001/jama.2013.284664
摘要

Biomarkers for the early diagnosis of patients with pancreatic cancer are needed to improve prognosis.To describe differences in microRNA expression in whole blood between patients with pancreatic cancer, chronic pancreatitis, and healthy participants and to identify panels of microRNAs for use in diagnosis of pancreatic cancer compared with the cancer antigen 19-9 (CA19-9).A case-control study that included 409 patients with pancreatic cancer and 25 with chronic pancreatitis who had been included prospectively in the Danish BIOPAC (Biomarkers in Patients with Pancreatic Cancer) study (July 2008-October 2012) plus 312 blood donors as healthy participants. The microRNA expressions in pretreatment whole blood RNA samples were collected and analyzed in 3 randomly determined subcohorts: discovery cohort (143 patients with pancreatic cancer, 18 patients with chronic pancreatitis, and 69 healthy participants), training cohort (180 patients with pancreatic cancer, 1 patient with chronic pancreatitis, and 199 healthy participants), and validation cohort (86 patients with pancreatic cancer, 7 patients with chronic pancreatitis, and 44 healthy participants); 754 microRNAs were screened in the discovery cohort and 38 microRNAs in the training cohort and 13 microRNAs in the validation cohort.Identification of microRNA panels (classifiers) for diagnosing pancreatic cancer.The discovery cohort demonstrated that 38 microRNAs in whole blood were significantly dysregulated in patients with pancreatic cancer compared with controls. These microRNAs were tested in the training cohort and 2 diagnostic panels were constructed comprising 4 microRNAs in index I (miR-145, miR-150, miR-223, miR-636) and 10 in index II (miR-26b, miR-34a, miR-122, miR-126*, miR-145, miR-150, miR-223, miR-505, miR-636, miR-885.5p). The test characteristics for the training cohort were index I area under the curve (AUC) of 0.86 (95% CI, 0.82-0.90), sensitivity of 0.85 (95% CI, 0.79-0.90), and specificity of 0.64 (95% CI, 0.57-0.71); index II AUC of 0.93 (95% CI, 0.90-0.96), sensitivity of 0.85 (95% CI, 0.79-0.90), and specificity of 0.85 (95% CI, 0.80-0.85); and CA19-9 AUC of 0.90 (95% CI, 0.87-0.94), sensitivity of 0.86 (95% CI, 0.80-0.90), and specificity of 0.99 (95% CI, 0.96-1.00). Performances were strengthened in the validation cohort by combining panels and CA19-9 (index I AUC of 0.94 [95% CI, 0.90-0.98] and index II AUC of 0.93 [95% CI, 0.89-0.97]). Compared with CA19-9 alone, the AUC for the combination of index I and CA19-9 was significantly higher (P = .01). The performance of the panels in patients with stage IA-IIB pancreatic cancer was index I AUC of 0.80 (95% CI, 0.73-0.87); index I and CA19-9 AUC of 0.83 (95% CI, 0.76-0.90); index II AUC of 0.91 (95% CI, 0.87-0.94); and index II and CA19-9 AUC of 0.91 (95% CI, 0.86-0.95).This study identified 2 diagnostic panels based on microRNA expression in whole blood with the potential to distinguish patients with pancreatic cancer from healthy controls. Further research is necessary to understand whether these have clinical implications for early detection of pancreatic cancer and how much this information adds to serum CA19-9.
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
PDF的下载单位、IP信息已删除 (2025-6-4)

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
刚刚
annie完成签到,获得积分10
刚刚
eivl发布了新的文献求助10
刚刚
热心的胡萝卜完成签到,获得积分10
1秒前
woyufengtian发布了新的文献求助10
1秒前
2秒前
hwq发布了新的文献求助10
2秒前
乌衣白马发布了新的文献求助10
2秒前
所所应助科研通管家采纳,获得10
2秒前
916应助科研通管家采纳,获得10
2秒前
kk应助科研通管家采纳,获得20
2秒前
隐形曼青应助科研通管家采纳,获得10
2秒前
LI发布了新的文献求助10
2秒前
CipherSage应助科研通管家采纳,获得10
2秒前
萧水白应助科研通管家采纳,获得10
3秒前
桐桐应助科研通管家采纳,获得10
3秒前
cherlie应助科研通管家采纳,获得10
3秒前
FashionBoy应助科研通管家采纳,获得10
3秒前
3秒前
斯文败类应助科研通管家采纳,获得10
3秒前
顾矜应助科研通管家采纳,获得10
3秒前
天天快乐应助科研通管家采纳,获得10
3秒前
华仔应助科研通管家采纳,获得10
3秒前
3秒前
3秒前
盛夏应助科研通管家采纳,获得10
3秒前
3秒前
3秒前
3秒前
大个应助科研通管家采纳,获得10
3秒前
3秒前
3秒前
3秒前
3秒前
3秒前
方知发布了新的文献求助10
4秒前
自信筮发布了新的文献求助10
4秒前
ccccc完成签到,获得积分10
4秒前
FashionBoy应助zqy1111采纳,获得10
4秒前
5秒前
高分求助中
The Mother of All Tableaux Order, Equivalence, and Geometry in the Large-scale Structure of Optimality Theory 2400
Optimal Transport: A Comprehensive Introduction to Modeling, Analysis, Simulation, Applications 800
Official Methods of Analysis of AOAC INTERNATIONAL 600
ACSM’s Guidelines for Exercise Testing and Prescription, 12th edition 588
Residual Stress Measurement by X-Ray Diffraction, 2003 Edition HS-784/2003 588
T/CIET 1202-2025 可吸收再生氧化纤维素止血材料 500
Interpretation of Mass Spectra, Fourth Edition 500
热门求助领域 (近24小时)
化学 材料科学 医学 生物 工程类 有机化学 生物化学 物理 内科学 纳米技术 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 冶金 细胞生物学 免疫学
热门帖子
关注 科研通微信公众号,转发送积分 3947832
求助须知:如何正确求助?哪些是违规求助? 3493055
关于积分的说明 11067931
捐赠科研通 3223849
什么是DOI,文献DOI怎么找? 1781878
邀请新用户注册赠送积分活动 866664
科研通“疑难数据库(出版商)”最低求助积分说明 800376