Evidence map›Paper›PMID 24989926›Full record

ArticleTumour biology : the journal of the International Society for Oncodevelopmental Biology and Medicine2014

Association of vascular endothelial growth factor polymorphisms with clinical outcome of renal cell carcinoma patients.

Weifeng Zhong, Xiaohong Wang, Bin Pan, Zexuan Su

Abstract read
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In one paragraph

Article in Tumour biology : the journal of the International Society for Oncodevelopmental Biology and Medicine, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed, 2 pooled it
1.4field-weighted citation impact, top 18% 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

5 citing papers in PubMed, 2 syntheses or guidelines pooled it, 11 citations in OpenAlex.

  1. Pooled it
  2. Pooled it
  3. Article
  4. Review
  5. 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

4 authors at 3 institutions in 1 country.

Weifeng ZhongGraduate School of Southern Medical University, 510515, Guangzhou, China, zhongweifengzwf@126.com.
Xiaohong Wang
Bin Pan
Zexuan Su
First Affiliated Hospital of Jinan University · CNSouthern Medical University · CNThird Affiliated Hospital of Southern Medical University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

We investigated the association of three single nucleotide polymorphisms (SNPs) in VEGF gene with the prognosis of renal cell carcinoma (RCC) and its association with clinical characteristics of RCC, such as tumor stages, metastasis, and tumor size. Polymerase chain reaction (PCR) restriction fragment length polymorphism analysis was used to genotype specimens for three polymorphisms (-2578C/A, -1154G/A, and -634G/C) in the VEGF gene. Hazard ratios (HRs) and their confidence intervals (CIs) were used to analyze the association of three SNPs in the VEGF gene with survival time using a multivariate Cox proportional hazards model. Frequencies of VEGF-2578AA genotype and A allele were significantly higher in patients with III-IV tumor stage or larger tumor size when compared with CC genotype. Moreover, frequencies of VEGF-634CC genotype and C allele were significantly higher in patients with tumor size >4 cm when compared with -634GG genotype. By Cox proportional hazards model, patients carrying VEGF-2578AA genotype and A allele significantly increased the risk of death from RCC, with the adjusted HRs (95 % CI) of 2.23 (1.15-4.36) and 1.55 (1.11-2.17), respectively. Our study suggests that VEGF-2578C/A and VEGF-634G/C polymorphisms may have effects on the prognosis of RCC. This finding might help in clarifying the mechanisms of RCC development and progression.

Indexed as

Polymorphism, Single NucleotideAdultAgedBiomarkers, TumorCarcinoma, Renal CellFemaleGenetic Predisposition to DiseaseHumansKaplan-Meier EstimateKidney NeoplasmsMaleMiddle AgedPolymorphism, Restriction Fragment LengthPrognosisProportional Hazards ModelsVascular Endothelial Growth Factor ABiomarkers, TumorVascular Endothelial Growth Factor AVEGFA protein, human

Identifiers

PMID24989926
OpenAlexW1990790091

What OpenQuestion holds

Textmetadata
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.