Evidence map›Paper›PMID 26958084›Full record

ArticleJournal of Cancer2016

Evaluation of Plasma miR-21 and miR-152 as Diagnostic Biomarkers for Common Types of Human Cancers.

Hankui Chen, Helu Liu, Hanqing Zou, Rui Chen, Yuhong Dou, Shile Sheng, Shengming Dai, Junmei Ai, Joshua Melson, Rick A Kittles and 4 more

Abstract read
In one paragraph

Article in Journal of Cancer, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 46 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
46citing papers in PubMed, 2 pooled it
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

46 citing papers in PubMed, 2 syntheses or guidelines pooled it.

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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

14 authors.

Hankui Chen1. Rush University Cancer Center, Chicago, IL 60612;
Helu Liu1. Rush University Cancer Center, Chicago, IL 60612;; 8. Shenzhen Baoan District Shajing Hospital, Shenzhen, Guangdong 518104, China.
Hanqing Zou1. Rush University Cancer Center, Chicago, IL 60612;
Rui Chen1. Rush University Cancer Center, Chicago, IL 60612;
Yuhong Dou1. Rush University Cancer Center, Chicago, IL 60612;; 8. Shenzhen Baoan District Shajing Hospital, Shenzhen, Guangdong 518104, China.
Shile Sheng1. Rush University Cancer Center, Chicago, IL 60612;
Shengming Dai1. Rush University Cancer Center, Chicago, IL 60612;; 9. Department of Clinical Laboratory, The Fourth Hospital Affiliated to Guangxi Medical University, Liuzhou, Guangxi 545005, China.
Junmei Ai1. Rush University Cancer Center, Chicago, IL 60612;
Joshua Melson2. Department of Pathology, Rush University Medical Center, Chicago, IL 60612;
Rick A Kittles6. Division of Urology, Department of Surgery, University of Arizona Cancer Center, Tucson, AZ 85724;
Mehdi Pirooznia7. Department of Psychiatry, School of Medicine, the Johns Hopkins University, Baltimore, MD 21287.
Michael J Liptay1. Rush University Cancer Center, Chicago, IL 60612;; 2. Department of Pathology, Rush University Medical Center, Chicago, IL 60612;; 3. Department of Cardiothoracic Surgery, Rush University Medical Center, Chicago, IL 60612;
Jeffrey A Borgia1. Rush University Cancer Center, Chicago, IL 60612;; 2. Department of Pathology, Rush University Medical Center, Chicago, IL 60612;; 4. Department of Biochemistry, Rush University Medical Center, Chicago, IL 60612;
Youping Deng1. Rush University Cancer Center, Chicago, IL 60612;; 2. Department of Pathology, Rush University Medical Center, Chicago, IL 60612;; 5. Department of Internal Medicine, Rush University Medical Center, Chicago, IL 60612;

Funding

EARLY DETECTION OF LUNG CANCER USING METABOLOMIC LIPID PROFILINGR21CA164764 · NCI · RUSH UNIVERSITY MEDICAL CENTER · PI DENG, YOUPING · 2013 to 2014
$360k
NCI NIH HHS R21 CA164764
6 · The paper itself

Abstract

Stable blood based miRNA species have allowed for the differentiation of patients with various types of cancer. Therefore, specific blood-based miRNA might be considered as a methodology which could be informative of the presence of cancer potentially from multiple distinct organ sites. Recently, miR-21 has been identified as an "oncomir" in various tumors while miR-152 as a tumor suppressor. In this study, we investigated whether circulating miR-21 and miR-152 can be used for early detection of lung cancer (LuCa), colorectal carcinoma (CRC), breast cancer (BrCa) and prostate cancer (PCa), with distinguishing cancer from various benign lesions on these organ sites. We measured the two miRNA levels by using real-time RT-PCR in plasma samples from a total of 204 cancer patients, 159 various benign lesions, and 228 normal subjects. We observed significantly elevated expression of miR-21 and miR-152 in LuCa, CRC, and BrCa when compared with normal controls. We also found upregulation of plasma miR-21 and miR-152 levels in patients with benign lesions of lung and breast, as compared to normal controls, respectively. No significant expression variation of the two miRNAs was observed in PCa or prostatic benign lesions as compared to healthy controls. Receiver operating characteristic (ROC) analyses revealed that miR-21 and/or miR-152 can discriminate LuCa, CRC and BrCa from normal controls. Our results suggest that plasma miR-21 and miR-152 may serve as non-specific noninvasive biomarkers for early screening of LuCa, CRC, and BrCa, but not PCa.

Indexed as

cancermiRNA

Identifiers

PMID26958084
PMCPMC4780124

What OpenQuestion holds

Textmetadata
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.