Evidence map›Paper›PMID 29865034›Full record

ArticleCancer biomarkers : section A of Disease markers2018

High expression of the ANKRD49 protein is associated with progression and poor prognosis of gastric cancer.

Chen-Guang Liu, Xiao-Long Cui, Zhi-Gang Wei, Jian-Sheng Guo

Abstract read
In one paragraph

Article in Cancer biomarkers : section A of Disease markers, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed
1.2field-weighted citation impact, top 17% 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

6 citing papers in PubMed, 20 citations in OpenAlex.

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  6. Long Noncoding RNA (lncRNA) MIR22HG Suppresses Gastric Cancer Progression through Attenuating NOTCH2 Signaling.Medical science monitor : international medical journal of experimental and clinical research · 2019
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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

4 authors.

Chen-Guang Liu
Xiao-Long Cui
Zhi-Gang Wei
Jian-Sheng Guo

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundGastric cancer is one of the most common malignant tumours. Identifying novel genes that govern the development of gastric cancer will help to elucidate its molecular mechanisms and find novel biomarkers.

methodsExpression of the ANKRD49 protein was assessed by immunohistochemical analysis of tissue microarrays containing 92 sets of human gastric cancer specimens with adjacent non-cancerous tissue. Associations between ANKRD49 levels and clinicopathological characteristics of the patient were investigated. The correlation between ANKRD49 expression and patient survival was analysed by the Kaplan-Meier method.

resultsThe results revealed that the expression level of the ANKRD49 protein in gastric cancer was significantly upregulated and correlated with the tumour size, tumour-node-metastasis (TNM) stage, histological grade, depth of invasion, vessel invasion, lymph node metastasis and distant metastasis. The mean survival time of patients with low expression levels of ANKRD49 was significantly longer than that of patients with high expression levels of ANKRD49. Multivariate Cox regression analysis demonstrated that the ANKRD49 protein expression level was an independent prognostic indicator for the survival rate of patients with gastric cancer.

conclusionThe results of the present study highlighted an important role of the ANKRD49 protein in the progression of gastric cancer. The ANKRD49 protein could act as a potential biomarker for prognosis evaluation of gastric cancer and may be used as a molecular target for gastric cancer treatment.

Indexed as

PrognosisAdultAgedBiomarkers, TumorDisease-Free SurvivalDisease ProgressionFemaleGene Expression Regulation, NeoplasticHumansImmunohistochemistryKaplan-Meier EstimateLymphatic MetastasisMaleMiddle AgedStomach NeoplasmsTrans-ActivatorsANKRD49 protein, humanBiomarkers, TumorTrans-ActivatorsANKRD49gastric cancerimmunohistochemistryprognosistissue microarray

Identifiers

PMID29865034
PMCPMC13078499
OpenAlexW2805358462

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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.