Evidence map›Paper›PMID 25501506›Full record

ArticleTumour biology : the journal of the International Society for Oncodevelopmental Biology and Medicine2015

RAB34 was a progression- and prognosis-associated biomarker in gliomas.

Hong-jun Wang, Yang Gao, Ling Chen, Yong-li Li, Chuan-lu Jiang

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In one paragraph

Article in Tumour biology : the journal of the International Society for Oncodevelopmental Biology and Medicine, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers.

0numbers the graph read from it
0cells of the map it votes in
16citing papers in PubMed
1.2field-weighted citation impact, top 22% 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

16 citing papers in PubMed, 26 citations in OpenAlex.

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  4. The Progression Related GeneBrain sciences · 2022
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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

5 authors at 3 institutions in 1 country.

Hong-jun WangDepartment of Neurosurgery, The Second Affiliated Hospital of Harbin Medical University, No. 246, Xuefu Road, Harbin, 150086, Heilongjiang Province, China.
Yang Gao
Ling Chen
Yong-li Li
Chuan-lu Jiang
Harbin Medical University · CNCapital Medical University · CNSecond Affiliated Hospital of Harbin Medical University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The objective of this study is to explore the expression pattern, prognostic value, and functional role of RAB34 in gliomas. RAB34 messenger RNA (mRNA) expression was evaluated from low grade to high grade in 220 glioma patients of the Chinese Glioma Genome Atlas (CGGA). We therefore analyzed RAB34 mRNA expression in two validated datasets. For detecting the protein expression level of RAB34, another 104 glioma tissues were stained by immunohistochemistry. Gene ontology (GO) analysis and gene set variation analysis (GSVA) were used for functional annotation of RAB34. The mRNA and protein expression levels of RAB34 were both related to glioma grade progression and were inversely correlated with overall survival (OS) in high-grade glioma patients. GO analysis and GSVA showed that RAB34 sets related to migration were significantly enriched in the cases with RAB34 high expression. Pearson correlation analysis identified that genes including MMP-11, HSPB1, IGFBP2, HSPA6, IGFBP5, and MMP19 were positively correlated with RAB34. The expression of RAB34 is related to glioma grade progression and confers a poor prognosis in high-grade glioma patients.

Indexed as

Biomarkers, TumorBrain NeoplasmsDisease ProgressionGene Expression Regulation, NeoplasticGliomaHumansNuclear ProteinsPrognosisrab GTP-Binding ProteinsRNA, MessengerBiomarkers, TumorNuclear ProteinsRAB34 protein, humanrab GTP-Binding ProteinsRNA, Messenger

Identifiers

PMID25501506
OpenAlexW2083811997

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.