Evidence map›Paper›PMID 25136583›Full record

Trial reportBioMed research international2014

Rho GTPase-activating protein 35 rs1052667 polymorphism and osteosarcoma risk and prognosis.

Jinmin Zhao, Hua Xu, Maolin He, Zhe Wang, Yang Wu

Open access · hybridAbstract readClinical TrialMulticenter Study
In one paragraph

Trial report in BioMed research international, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
11citing papers in PubMed, 1 pooled it
0.9field-weighted citation impact, top 27% 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, 1 synthesis or guideline pooled it, 13 citations in OpenAlex.

  1. Genetic variations in cancer-related significantly mutated genes and lung cancer susceptibility.Annals of oncology : official journal of the European Society for Medical Oncology · 2017
    Pooled it
  2. Fixing the GAP: The role of RhoGAPs in cancer.European journal of cell biology · 2022
    Review
  3. Article
  4. p190RhoGAPs, theCells · 2019
    Review
  5. Article
  6. Article
  7. Article
  8. Review
  9. Article
  10. NFKB1 -94ins/del ATTG polymorphism increases osteosarcoma risk in a Chinese Han population.International journal of clinical and experimental medicine · 2015
    Article
  11. Review
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 1 institution in 1 country.

Jinmin ZhaoDepartment of Orthopaedics Trauma and Hand Surgery, The First Affiliated Hospital of Guangxi Medical University, Nanning, Guangxi Zhuang Autonomous Region 530021, China ; Research Center for Regenerative Medicine, Guangxi Medical University, Nanning, Guangxi Zhuang Autonomous Region 530021, China.
Hua XuResearch Center for Regenerative Medicine, Guangxi Medical University, Nanning, Guangxi Zhuang Autonomous Region 530021, China ; Center for Education Evaluation & Faculty Development, Guangxi Medical University, Nanning, Guangxi Zhuang Autonomous Region 530021, China.
Maolin HeResearch Center for Regenerative Medicine, Guangxi Medical University, Nanning, Guangxi Zhuang Autonomous Region 530021, China ; Division of Spinal Surgery, The First Affiliated Hospital of Guangxi Medical University, Nanning, Guangxi Zhuang Autonomous Region 530021, China.ORCID 0000-0002-9154-9589
Zhe WangResearch Center for Regenerative Medicine, Guangxi Medical University, Nanning, Guangxi Zhuang Autonomous Region 530021, China ; Division of Spinal Surgery, The First Affiliated Hospital of Guangxi Medical University, Nanning, Guangxi Zhuang Autonomous Region 530021, China.
Yang WuResearch Center for Regenerative Medicine, Guangxi Medical University, Nanning, Guangxi Zhuang Autonomous Region 530021, China ; Division of Spinal Surgery, The First Affiliated Hospital of Guangxi Medical University, Nanning, Guangxi Zhuang Autonomous Region 530021, China.
Guangxi Medical University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The Rho GTPase-activating protein 35 (ARHGAP35), an important Rho family GTPase-activating protein, may be associated with tumorigenesis of some tumors. Here, we investigated the relationship between an important polymorphic variant at 3'-UTR of this gene (rs1052667) and osteosarcoma risk and prognosis. This hospital-based case-control study, including 247 osteosarcoma patients and 428 age-, sex-, and race-matched healthy controls, was conducted in Guangxi population. Genotypes were tested using TaqMan PCR technique. We found a significant difference in the frequency of rs1052667 genotypes between cases and controls. Compared with the homozygote of rs1052667 C alleles (rs1052667-CC), the genotypes with rs1052667 T alleles (namely, rs1052667-CT or -TT) increased osteosarcoma risk (odds ratios: 2.41 and 7.35, resp.). Moreover, rs1052667 polymorphism was correlated with such pathological features of osteosarcoma as tumor size, tumor grade, and tumor metastasis. Additionally, this polymorphism also modified the overall survival and recurrence-free survival of osteosarcoma cases. Like tumor grade, ARHGAP35 rs1052667 polymorphism was an independent prognostic factor influencing the survival of osteosarcoma. These results suggest that ARHGAP35 rs1052667 polymorphism may be associated with osteosarcoma risk and prognosis.

Indexed as

3' Untranslated RegionsAllelesPolymorphism, GeneticAdultChinaDisease-Free SurvivalFemaleGuanine Nucleotide Exchange FactorsHumansMaleMiddle AgedNeoplasm MetastasisNeoplasm ProteinsOsteosarcomaRepressor ProteinsSurvival Rate3' Untranslated RegionsARHGAP35 protein, humanGuanine Nucleotide Exchange FactorsNeoplasm ProteinsRepressor Proteins

Identifiers

PMID25136583
PMCPMC4124850
OpenAlexW2121911890

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

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.