Evidence map›Paper›PMID 26064265›Full record

ArticleInternational journal of clinical and experimental medicine2015

Analysis of plasma MicroRNAs to identifying early diagnostic molecule for gastric cancer.

Zi-Zhen Zhang, Chao-Jie Wang, Li Niu, Jia Xu, Ming Wang, Hui Cao, Bo Hu

Abstract read
In one paragraph

Article in International journal of clinical and experimental medicine, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed, 1 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

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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

7 citing papers in PubMed, 1 synthesis or guideline 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

7 authors.

Zi-Zhen ZhangDepartment of General Surgery, Ren Ji Hospital, School of Medicine, Shanghai Jiao Tong University Shanghai 200127, P.R. China.
Chao-Jie WangDepartment of General Surgery, Ren Ji Hospital, School of Medicine, Shanghai Jiao Tong University Shanghai 200127, P.R. China.
Li NiuDepartment of Radiotherapy, First Affiliated Hospital, Anhui Medical University Hefei 230022, Anhui, P.R. China.
Jia XuDepartment of General Surgery, Ren Ji Hospital, School of Medicine, Shanghai Jiao Tong University Shanghai 200127, P.R. China.
Ming WangDepartment of General Surgery, Ren Ji Hospital, School of Medicine, Shanghai Jiao Tong University Shanghai 200127, P.R. China.
Hui CaoDepartment of General Surgery, Ren Ji Hospital, School of Medicine, Shanghai Jiao Tong University Shanghai 200127, P.R. China.
Bo HuDepartment of Orthopedics, First Affiliated Hospital, Anhui Medical University Hefei 230022, Anhui, P.R. China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Gastric cancer (GC) remains the second leading cause of cancer-related death worldwide. Owing to the lack of early diagnostic techniques, GC is often diagnosed at advanced stage and that leading to low survival rate. Growing evidences have been suggesting that circulating microRNAs play an important role in earlier diagnostic of disease. In the present study, we analyze the circulating miRNAs expression in plasma of volunteers with/without GC aiming to identifying early diagnostic biomarkers. Plasma samples were collected form 6 volunteers including 3 early patients with GC and 3 healthy adults. And then miRNAs microarrays were performed to detect the expression profile of miRNAs in these plasma samples. For further validate the results from miRNAs microarray, qRT-PCR was performed. Finally, target genes of miRNAs were predicted by bioinformatic means. Compared to control plasma, 11 up-regulated and 13 down-regulated miRNAs were detected in the plasma from earlier patients with GC (fold change ≥ 2, P < 0.05). Then, 5 differential expression miRNAs (miR-223, miR-19b-2*, miR-194*, miR-141, miR-1233) were chose to confirm by qRT-PCR. The result is nearly consistent with previous data from miRNAs microarray. Finally, 53 target genes of the 5 miRNAs are predicted by bioinformatics. These differential expression miRNAs may be used as biomarker candidates for minimally invasive diagnosis of early patients with GC in the future.

Indexed as

biomarkersearly diagnosisGastric cancermiRNAsplasma

Identifiers

PMID26064265
PMCPMC4443099

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Registered trials

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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.