Evidence map›Paper›PMID 30829611›Full record

ArticleCancer biomarkers : section A of Disease markers2019

EGFLAM correlates with cell proliferation, migration, invasion and poor prognosis in glioblastoma.

Juhui Chen, Jingshi Zhang, Liang Hong, Yongtao Zhou

Open access · hybridAbstract read
In one paragraph

Article in Cancer biomarkers : section A of Disease markers, 2019. 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
1.1field-weighted citation impact, top 21% 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, 21 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

4 authors at 1 institution in 1 country.

Juhui ChenDepartment of Abdominal Radiotherapy, Fujian Cancer Hospital, Fujian Medical University Cancer Hospital, Fuzhou, Fujian, China.
Jingshi ZhangDepartment of Pathology, Fujian Cancer Hospital, Fujian Medical University Cancer Hospital, Fuzhou, Fujian, China.
Liang HongDepartment of Pathology, Fujian Cancer Hospital, Fujian Medical University Cancer Hospital, Fuzhou, Fujian, China.
Yongtao ZhouDepartment of Abdominal Radiotherapy, Fujian Cancer Hospital, Fujian Medical University Cancer Hospital, Fuzhou, Fujian, China.
Fujian Medical University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

EGFLAM as a novel gene biomarker has been reported in some cancers but not glioblastoma (GBM) yet. To clarify the functional role of EGFLAM in GBM, we performed this study. Firstly, based on TCGA and Oncomine database, EGFLAM expression and clinical significance in GBM patients was analyzed. Furthermore, the biological effect of EGFLAM in GBM cells was determined by qRT-PCR, CCK-8 assay, colony formation assay, wound healing assay, transwell assays and western blot analysis. The databases analysis showed that EGFLAM expression was at higher levels in GBM patients with poor prognosis. The results indicated that EGFLAM silence inhibited the proliferation, migration and invasion of U87 cells, which was regulated through repression of PI3K/AKT pathway. Accordingly, the data from our work shed some light on EGFLAM might be a prognostic biomarker and therapeutic target for GBM.

Indexed as

AdultAgedBiomarkers, TumorBrain NeoplasmsCell Line, TumorCell MovementCell ProliferationCell SurvivalDatabases, GeneticFemaleGene Expression Regulation, NeoplasticGlioblastomaHumansMaleMiddle AgedPhosphatidylinositol 3-KinasesBiomarkers, TumorPhosphatidylinositol 3-KinasesProto-Oncogene Proteins c-aktAKTEGFLAMglioblastomaPI3Kprognosisproliferation

Identifiers

PMID30829611
PMCPMC6484271
OpenAlexW2917097028

What OpenQuestion holds

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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.