Evidence map›Paper›PMID 27655285›Full record

ArticleTumour biology : the journal of the International Society for Oncodevelopmental Biology and Medicine2016

Expression and prognostic value of E2F activators in NSCLC and subtypes: a research based on bioinformatics analysis.

Zhaojia Gao, Run Shi, Kai Yuan, Yong Wang

Abstract read
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Article in Tumour biology : the journal of the International Society for Oncodevelopmental Biology and Medicine, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
15citing papers in PubMed, 1 pooled it
0.7field-weighted citation impact, top 30% 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

15 citing papers in PubMed, 1 synthesis or guideline pooled it, 25 citations in OpenAlex.

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  3. miR-125b-5p, miR-155-3p, and miR-214-5p and TargetInternational journal of molecular sciences · 2023
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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

4 authors at 2 institutions in 1 country.

Zhaojia GaoDepartment of Cardiothoracic Surgery, Changzhou NO. 2 People's Hospital affiliated to Nanjing Medical University, Changzhou, 213003, China.
Run ShiDepartment of Thoracic Surgery, Jiangsu Cancer Hospital affiliated to Nanjing Medical University, Nanjing, 210009, China.
Kai YuanDepartment of Cardiothoracic Surgery, Changzhou NO. 2 People's Hospital affiliated to Nanjing Medical University, Changzhou, 213003, China.
Yong WangDepartment of Cardiothoracic Surgery, Changzhou NO. 2 People's Hospital affiliated to Nanjing Medical University, Changzhou, 213003, China. czeywy@outlook.com.
Changzhou No.2 People's Hospital · CNNanjing Medical University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

E2F activators (E2F1-3) codify a family of transcription factors (TFs) in higher eukaryotes. E2F activators are involved in the cell cycle regulation and synthesis of DNA in mammalian cells, and their overexpression has been detected in many human cancers. However, their clinical significance has not been deeply researched in non-small-cell lung cancer (NSCLC), and bioinformatics analysis has never been reported to explore their clinical role in NSCLC. In the current study, we investigated the expression and prognostic value of E2F activators in NSCLC patients through the "TCGA datasets" and the "Kaplan-Meier plotter" (KM plotter) database. Hazard ratio (HR), 95 % confidence intervals, and log-rank P were calculated. Compared with normal tissue samples, E2F activators were overexpressed in NSCLC tissues, in lung adenocarcinoma (LUAD) tissues, and in lung squamous cell carcinoma (LUSC) tissues. In NSCLC patients, E2F1 expression was significantly correlated with age, sex, and tumor stage. E2F2 expression was found to be significantly correlated with sex and tumor size. We further demonstrated that E2F1 and E2F2 overexpressions were significantly associated with poor prognosis. In LUAD patients, E2F1 expression was significantly correlated with tumor size and tumor stage. E2F2 expression was significantly correlated with lymph node status and tumor stage. E2F1 and E2F2 overexpression showed a significant association with poor prognosis, while E2F3 overexpression was significantly correlated to better prognosis. In LUSC patients, E2F1 was concluded to be significantly correlated with tumor stage. However, E2F activators were not found to be correlated to prognosis.

Indexed as

Gene Expression Regulation, NeoplasticAdenocarcinomaAdenocarcinoma of LungCarcinoma, Non-Small-Cell LungComputational BiologyE2F1 Transcription FactorE2F2 Transcription FactorEnzyme ActivationFemaleHumansKaplan-Meier EstimateLung NeoplasmsMaleMiddle AgedPrognosisE2F1 protein, humanE2F1 Transcription FactorE2F2 protein, humanE2F2 Transcription FactorBioinformaticsE2FNon-small-cell lung cancerOverexpressionPrognosis

Identifiers

PMID27655285
OpenAlexW2522291814

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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.