Evidence map›Paper›PMID 35116503›Full record

ArticleTranslational cancer research2021

Integrative bioinformatics analysis identifies LINC01614 as a potential prognostic signature in esophageal cancer.

Shuo Yan, Jichong Xu, Bingyan Liu, Lin Ma, Huaqiao Tan, Chun Fang

Open access · diamondAbstract read
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Article in Translational cancer research, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
0.3field-weighted citation impact, top 50% 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

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3 · Its place in the literature

Who cites it

4 citing papers in PubMed, 7 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

6 authors at 3 institutions in 1 country.

Shuo YanDepartment of Interventional Radiology, Tongji Hospital, Tongji University School of Medicine, Shanghai, China.
Jichong XuDepartment of Interventional Radiology, Tongji Hospital, Tongji University School of Medicine, Shanghai, China.
Bingyan LiuDepartment of Interventional Radiology, Tongren Hospital, Shanghai Jiaotong University School of Medicine, Shanghai, China.
Lin MaDepartment of Interventional Radiology, Tongji Hospital, Tongji University School of Medicine, Shanghai, China.
Huaqiao TanDepartment of Interventional Radiology, Tongji Hospital, Tongji University School of Medicine, Shanghai, China.
Chun FangDepartment of Interventional Radiology, Tongji Hospital, Tongji University School of Medicine, Shanghai, China.
Tongji Hospital · CNTongji University · CNTongren Hospital · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundEsophageal cancer (EC) is one of the most common gastrointestinal cancers and the incidence is on the increase in recent years. The aim of the present study was to assess novel long non-coding RNA (lncRNA) biomarkers for the prognosis of EC through the analysis of gene expression microarrays.

methodsThree datasets (GSE53622, GSE53624, and GSE53625) were downloaded from the Gene Expression Omnibus (GEO) database and EC patients' clinical information were from The Cancer Genome Atlas (TCGA) databases. Differentially expressed genes (DEGs) were screened by comparing tumor tissues with normal tissues using limma R package. The Gene Expression Profiling Interactive Analysis 2 (GEPIA2) database was used to obtain the novel lncRNAs and their co-expression genes in EC and these were visualized with the Cytoscape software. The Kyoto Encyclopedia of Genes and Genomes (KEGG) Orthology Based Annotation System (KOBAS) database was used to analyze the functions enrichment of selected DEGs. Cell Counting Kit-8 (CCK8) and Transwell assays were used to further confirm the function of target lncRNAs.

resultsWe identified 24 differentially expressed (DE) lncRNAs and 659 DE mRNAs from the intersection of GEO and TCGA databases. And we found that only LINC01614 was concerned with a candidate prognostic signature in EC. "Extracellular matrix (ECM)-receptor interaction" and "PI3K-Akt signaling pathway" were observed, and we constructed a lncRNA-mRNA co-expression network for EC that includes LINC01614 and 64 mRNAs. The results of CCK8 and Transwell assays showed that suppression of LINC01614 inhibited EC cell proliferation and migration.

conclusionsOur study might provide LINC01614 as a novel lncRNA biomarker for diagnosis and prognosis in EC.

Indexed as

bioinformaticsEsophageal cancer (EC)LINC01614lncRNA

Identifiers

PMID35116503
PMCPMC8798299
OpenAlexW3159230574

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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.