Evidence map›Paper›PMID 30971501›Full record

ArticleBioscience reports2019

Identification of a prognostic 28-gene expression signature for gastric cancer with lymphatic metastasis.

Chao Zhang, Li-Wei Jing, Zhi-Ting Li, Zi-Wei Chang, Hui Liu, Qiu-Meng Zhang, Qing-Yu Zhang

Open access · goldAbstract read
In one paragraph

Article in Bioscience reports, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.

0numbers the graph read from it
0cells of the map it votes in
13citing papers in PubMed
1.6field-weighted citation impact, top 19% 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

13 citing papers in PubMed, 24 citations in OpenAlex.

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  6. ALKBH5-mediated mInflammation and regeneration · 2023
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  13. A signature of 14 immune-related gene pairs predicts overall survival in gastric cancer.Clinical & translational oncology : official publication of the Federation of Spanish Oncology Societies and of the National Cancer Institute of Mexico · 2021
    Article
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 at 2 institutions in 1 country.

Chao ZhangDepartment of Gastroenterology, Tianjin Medical University General Hospital, Tianjin 300052, China.
Li-Wei JingNational Institute of Development and Strategy, Renmin University of China, Beijing 100872, China.
Zhi-Ting LiDepartment of Gastroenterology, Affiliated Hospital of North China University of Science and Technology, Tangshan, Hebei 063000, China.
Zi-Wei ChangDepartment of Gastroenterology, Affiliated Hospital of North China University of Science and Technology, Tangshan, Hebei 063000, China.
Hui LiuDepartment of Gastroenterology, Affiliated Hospital of North China University of Science and Technology, Tangshan, Hebei 063000, China.
Qiu-Meng ZhangDepartment of Gastroenterology, Affiliated Hospital of North China University of Science and Technology, Tangshan, Hebei 063000, China.
Qing-Yu ZhangDepartment of Gastroenterology, Tianjin Medical University General Hospital, Tianjin 300052, China Dr_zhangqingyu@126.com.ORCID 0000-0002-5509-7730
North China University of Science and Technology · CNRenmin University of China · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Gastric cancer (GC) patients have high mortality due to late-stage diagnosis, which is closely associated with lymph node metastasis. Exploring the molecular mechanisms of lymphatic metastasis may inform the research into early diagnostics of GC. In the present study, we obtained RNA-Seq data from The Cancer Genome Altas and used Limma package to identify differentially expressed genes (DEGs) between lymphatic metastases and non-lymphatic metastases in GC tissues. Then, we used an elastic net-regularized COX proportional hazard model for gene selection from the DEGs and constructed a regression model composed of 28-gene signatures. Furthermore, we assessed the prognostic performance of the 28-gene signature by analyzing the receive operating characteristic curves. In addition, we selected the gene PELI2 amongst 28 genes and assessed the roles of this gene in GC cells. The good prognostic performance of the 28-gene signature was confirmed in the testing set, which was also validated by GSE66229 dataset. In addition, the biological experiments showed that PELI2 could promote the growth and metastasis of GC cells by regulating vascular endothelial growth factor C. Our study indicates that the identified 28-gene signature could be considered as a sensitive predictive tool for lymphatic metastasis in GC.

Indexed as

PrognosisBiomarkers, TumorDisease-Free SurvivalFemaleGene Expression Regulation, NeoplasticHumansLymphatic MetastasisMaleNeoplasm ProteinsProportional Hazards ModelsStomach NeoplasmsTranscriptomeBiomarkers, TumorNeoplasm ProteinsCOXElastic netgastric cancerlymph node metastasisprognosisVEGF-C

Identifiers

PMID30971501
PMCPMC6499450
OpenAlexW2937680813

What OpenQuestion holds

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LicenceCC BY
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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.