Evidence map›Paper›PMID 31222932›Full record

ArticleJournal of cellular and molecular medicine2019

Systematic profiling identifies PDLIM2 as a novel prognostic predictor for oesophageal squamous cell carcinoma (ESCC).

Guiqin Song, Jun Xu, Lang He, Xiao Sun, Rong Xiong, Yuxi Luo, Xin Hu, Ruolan Zhang, Qiuju Yue, Kang Liu and 1 more

Open access · goldAbstract read
In one paragraph

Article in Journal of cellular and molecular medicine, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.

0numbers the graph read from it
0cells of the map it votes in
11citing papers in PubMed
2.0field-weighted citation impact, top 14% 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

11 citing papers in PubMed, 14 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

11 authors at 3 institutions in 1 country.

Guiqin SongInstitute of Tissue Engineering and Stem Cells, Nanchong Central Hospital, The Second Clinical Medical College, North Sichuan Medical College, Nanchong, China.
Jun XuDepartment of Thoracic Surgery, Nanchong Central Hospital, The Second Clinical Medical College, North Sichuan Medical College, Nanchong, China.
Lang HeDepartment of Oncology, The Fifth People's Hospital of Chengdu, The Second Clinical Medical School, Chengdu University of Traditional Chinese Medicine, Chengdu, China.ORCID 0000-0003-4384-4345
Xiao SunInstitute of Tissue Engineering and Stem Cells, Nanchong Central Hospital, The Second Clinical Medical College, North Sichuan Medical College, Nanchong, China.
Rong XiongInstitute of Tissue Engineering and Stem Cells, Nanchong Central Hospital, The Second Clinical Medical College, North Sichuan Medical College, Nanchong, China.
Yuxi LuoThe First Clinical College of Anhui Medical University, Hefei, China.
Xin HuInstitute of Tissue Engineering and Stem Cells, Nanchong Central Hospital, The Second Clinical Medical College, North Sichuan Medical College, Nanchong, China.
Ruolan ZhangInstitute of Tissue Engineering and Stem Cells, Nanchong Central Hospital, The Second Clinical Medical College, North Sichuan Medical College, Nanchong, China.
Qiuju YueInstitute of Tissue Engineering and Stem Cells, Nanchong Central Hospital, The Second Clinical Medical College, North Sichuan Medical College, Nanchong, China.
Kang LiuInstitute of Tissue Engineering and Stem Cells, Nanchong Central Hospital, The Second Clinical Medical College, North Sichuan Medical College, Nanchong, China.
Gang FengInstitute of Tissue Engineering and Stem Cells, Nanchong Central Hospital, The Second Clinical Medical College, North Sichuan Medical College, Nanchong, China.
North Sichuan Medical University · CNAnhui Medical University · CNChengdu Fifth People's Hospital · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Till now, no appropriate biomarkers for high-risk population screening and prognosis prediction have been identified for patients with oesophageal squamous cell carcinoma (ESCC). In this study, by the combined use of data from the Gene Expression Omnibus (GEO) datasets and The Cancer Genome Atlas (TCGA)-oesophageal carcinoma (ESCA), we aimed to screen dysregulated genes with prognostic value in ESCC and the genetic and epigenetic alterations underlying the dysregulation. About 222 genes that had at least fourfold change in ESCC compared with adjacent normal tissues were identified using the microarray data in GDS3838. Among these genes, only PDLIM2 was associated with nodal invasion and overall survival (OS) at the same time. The high PDLIM2 expression group had significantly longer OS and its expression was independently associated with better OS (HR: 0.64, 95% CI: 0.43-0.95, P = 0.03), after adjustment for gender and pathologic stages. The expression of its exon 7/8/9/10 had the highest AUC value (0.724) and better prognostic value (HR: 0.43, 95% CI: 0.22-0.83, P = 0.01) than total PDLIM2 expression. PDLIM2 DNA copy deletion was common in ESCC and was associated with decreased gene expression. The methylation status of two CpG sites (cg23696886 and cg20449614) in the proximal promoter region of PDLIM2 showed a moderate negative correlation with the gene expression in PDLIM2 copy neutral/amplification group. In conclusion, we infer that PDLIM2 expression might be a novel prognostic indicator for ESCC patients. Its exon 7/8/9/10 expression had the best prognostic value. Its down-regulation might be associated with gene-level copy deletion and promoter hypermethylation.

Indexed as

Biomarkers, TumorDNA MethylationEpigenesis, GeneticEsophageal Squamous Cell CarcinomaExonsFemaleGene Expression ProfilingGene Expression Regulation, NeoplasticHumansLIM Domain ProteinsMaleMicrofilament ProteinsMiddle AgedMultivariate AnalysisPrognosisSurvival AnalysisBiomarkers, TumorLIM Domain ProteinsMicrofilament ProteinsPDLIM2 protein, humancopy number alterationmethylationoesophageal squamous cell carcinomaPDLIM2prognosis

Identifiers

PMID31222932
PMCPMC6653303
OpenAlexW2949971901

What OpenQuestion holds

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LicenceCC BY
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Registered trials

None linked

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.