Evidence map›Paper›PMID 25664025›Full record

ArticleInternational journal of clinical and experimental medicine2014

Aberrant expression of microRNAs in serum may identify individuals with pancreatic cancer.

Mao-Song Lin, Wei-Chang Chen, Jun-Xing Huang, Heng-Jun Gao, Hai-Hui Sheng

Open access · greenAbstract read
In one paragraph

Article in International journal of clinical and experimental medicine, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 38 papers, 6 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
38citing papers in PubMed, 6 pooled it
2.2field-weighted citation impact, top 13% of its field
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

38 citing papers in PubMed, 6 syntheses or guidelines pooled it, 63 citations in OpenAlex.

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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

5 authors at 4 institutions in 1 country.

Mao-Song LinDepartment of Gastroenterology, Taizhou People's Hospital Taizhou, Jiangsu, China.
Wei-Chang ChenDepartment of Gastroenterology, The First Affiliated Hospital, Soochow University Suzhou, Jiangsu, China.
Jun-Xing HuangDepartment of Oncology, Taizhou People's Hospital Taizhou, Jiangsu, China.
Heng-Jun GaoInstitute of Digestive Disease, Tongji Hospital Affiliated to Tongji University Shanghai, China ; National Engineering Center for Biochip Shanghai, China.
Hai-Hui ShengNational Engineering Center for Biochip Shanghai, China.
Nantong University · CNShanghai Center For Bioinformation Technology · CNSoochow University · CNTongji University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Pancreatic cancer (PC) has the poorest survival rate among all types of human cancer due to the lack of sensitive and non-invasive diagnostic screen methods for PC screening. Our aim was to identify novel serum microRNA (miRNA) biomarkers for the early detection of PC. We used microarray to screen differential expression of miRNAs in two pooled serum samples (6 PC patients and 6 healthy controls). A panel of miRNAs (22 over-expression and 23 decreased) were deregulated in serum of PC patients in comparison to controls. The expressions of 8 selected miRNAs were further evaluated in sera from 49 PC patients and 27 controls using quantitative reverse transcription-polymerase chain reaction. The levels of serum miR-492 and miR-663a were significantly decreased in PC patients compared with controls (P < 0.05). ROC curve analysis showed that serum miR-492 and miR-663a yield an AUC of 0.787 with 75.5% sensitivity and 70.0% specificity and 0.870 with 85.7% sensitivity and 80.0% specificity, respectively, for discriminating between PC patients and healthy controls. In addition, the level of miR-663a was significantly and inversely associated with TNM stage (P = 0.027). These results suggested that serum miR-492 and miR-663a could have strong potential as novel non-invasive biomarkers for the early detection of PC.

Indexed as

MicroRNAmiR-492miR-663apancreatic cancerserum

Identifiers

PMID25664025
PMCPMC4307472
OpenAlexW2342956265

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.