Evidence map›Paper›PMID 32908901›Full record

ArticleBioMed research international2020

Identification and Characterization of Copy Number-Associated Driver Genes in Esophageal Squamous Cell Carcinoma.

Kexin Jiang, Yijiang He, Xu Zhang

Open access · hybridAbstract read
In one paragraph

Article in BioMed research international, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
0.1field-weighted citation impact, top 55% 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

1 citing paper in PubMed, 2 citations in OpenAlex.

  1. 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

3 authors at 1 institution in 1 country.

Kexin JiangRadiation Oncology Department of Gastrointestinal Cancer and Lymphoma, Cancer Hospital of China Medical University, Liaoning Cancer Hospital and Institute, China.
Yijiang HeRadiation Oncology Department of Gastrointestinal Cancer and Lymphoma, Cancer Hospital of China Medical University, Liaoning Cancer Hospital and Institute, China.
Xu ZhangRadiation Oncology Department of Gastrointestinal Cancer and Lymphoma, Cancer Hospital of China Medical University, Liaoning Cancer Hospital and Institute, China.ORCID https://orcid.org/0000-0003-3354-2458
Liaoning Cancer Hospital & Institute · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundEsophageal squamous cell carcinoma (ESCC) is a leading malignancy with both high incidence and mortality worldwide. However, the molecular mechanisms of the poor prognosis in ESCC are still unclear.

methodsWe conducted differential expression analysis between ESCC and normal tissues and between ESCC samples with and without CNAs in a given gene. Overrepresentation enrichment and gene set enrichment analyses were used to identify the oncogenic pathways and abnormal transcription factors (TFs). The survival analysis was employed to identify the genes associated with overall survival.

resultsIn this study, we aimed to identify and interpret the driver genes triggered by the copy number alterations (CNAs), including CCND1, TEAD4, EIF4EBP1, EGFR, FGFR3, and FZD6. Furthermore, we identified oncogenic pathways, including RTK-RAS, WNT, PI3K, Hippo, and cell cycle, and key TFs including TEAD4, a transcription factor in the Hippo signaling pathway, and LEF1 in the WNT signaling pathway. Furthermore, we observed that upregulations of FGFR3 and EIF4EBP1 were significantly associated with shorter overall survival in ESCC.

conclusionIn conclusion, the driver genes triggered by CNAs not only exhibited critical functionality but also were clinically relevant in ESCC, which greatly improved our understanding of the molecular mechanisms in ESCC.

Indexed as

CarcinogenesisCell CycleDNA Copy Number VariationsEsophageal NeoplasmsEsophageal Squamous Cell CarcinomaGene DosageGene Expression ProfilingGene Expression Regulation, NeoplasticHumansOncogenesPrognosisSignal TransductionTranscription FactorsTranscription Factors

Identifiers

PMID32908901
PMCPMC7463369
OpenAlexW3081188833

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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.