Evidence map›Paper›PMID 33188157›Full record

ArticleAging2020

Development and validation of a novel prognostic signature in gastric adenocarcinoma.

Rui Mao, Zheng Wang, Yuanchuan Zhang, YuanYuan Chen, Qian Liu, Tongtong Zhang, Yanjun Liu

Abstract readValidation Study
In one paragraph

Article in Aging, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 20 papers.

0numbers the graph read from it
0cells of the map it votes in
20citing papers in PubMed
–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

20 citing papers in PubMed.

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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.

Rui MaoAffiliated Hospital of Southwest Jiaotong University, Chengdu, 610036, China.
Zheng WangDepartment of Colorectal Surgery, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, 100021, China.
Yuanchuan ZhangThe Center of Gastrointestinal and Minimally Invasive Surgery, The Third People's Hospital of Chengdu, Chengdu, 610031, China.
YuanYuan ChenDepartment of Pathology, The Third People's Hospital of Chengdu, Chengdu, 610031, China.
Qian LiuDepartment of Colorectal Surgery, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, 100021, China.
Tongtong ZhangMedical Research Center, The Third People's Hospital of Chengdu, The Affiliated Hospital of Southwest Jiaotong University, The Second Chengdu Hospital Affiliated to Chongqing Medical University, Chengdu 610031, Sichuan, China.
Yanjun LiuAffiliated Hospital of Southwest Jiaotong University, Chengdu, 610036, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Competing endogenous RNA networks have attracted increasing attention in gastric adenocarcinoma (GA). The current study aimed to explore ceRNA-based prognostic biomarkers for GA. RNA expression profiles were downloaded from TCGA and GEO databases. A ceRNA network was constructed based on the most relevant modules in the weighted gene coexpression network analysis. Kaplan-Meier (KM) survival analysis revealed prognosis-related RNAs, which were subjected to the multivariate Cox regression analysis. The predictive accuracy and discriminative ability of the signature were determined by KM analyses, receiver operating characteristic curves and area under the curve values. Ultimately, we constructed a ceRNA network consisting of 55 lncRNAs, 17 miRNAs and 73 mRNAs. Survival analyses revealed 3 lncRNAs (LINC01106, FOXD2-AS1, and AC103702.2) and 3 mRNAs (CCDC34, ORC6, and SOX4) as crucial prognostic factors; these factors were then used to construct a survival specific ceRNA network. Patients with high risk scores exhibited significantly worse overall survival than patients with low risk scores, and the AUC for 5

Indexed as

Gene Expression ProfilingTranscriptomeAdenocarcinomaBiomarkers, TumorDatabases, GeneticGene Regulatory NetworksHumansMicroRNAsPredictive Value of TestsPrognosisReproducibility of ResultsRisk AssessmentRisk FactorsRNA, Long NoncodingRNA, MessengerRNA, NeoplasmBiomarkers, TumorMicroRNAsRNA, Long NoncodingRNA, MessengerRNA, Neoplasmcompeting endogenous RNA networkgastric adenocarcinomaqRT-PCRweighted gene coexpression network analysis

Identifiers

PMID33188157
PMCPMC11623975

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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.