Evidence map›Paper›PMID 20571871›Full record

ArticleCancer causes & control : CCC2010

Angiogenesis-associated sequence variants relative to breast cancer recurrence and survival.

LaCreis R Kidd, Guy N Brock, Tiva T VanCleave, Marnita L Benford, Nicole A Lavender, Traci L Kruer, James L Wittliff

Open access · greenAbstract read
In one paragraph

Article in Cancer causes & control : CCC, 2010. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.

0numbers the graph read from it
0cells of the map it votes in
12citing papers in PubMed
1.4field-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

12 citing papers in PubMed, 31 citations in OpenAlex.

  1. Review
  2. Article
  3. Article
  4. Diagnosis and differential diagnosis of dermatofibrosarcoma protuberans: Utility of high-resolution dynamic contrast-enhanced (DCE) MRI.Skin research and technology : official journal of International Society for Bioengineering and the Skin (ISBS) [and] International Society for Digital Imaging of Skin (ISDIS) [and] International Society for Skin Imaging (ISSI) · 2022
    Article
  5. Article
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  10. Association of VEGF and VEGFR1 polymorphisms with breast cancer risk in North Indians.Tumour biology : the journal of the International Society for Oncodevelopmental Biology and Medicine · 2015
    Article
  11. Review
  12. 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

7 authors at 1 institution in 1 country.

LaCreis R KiddDepartment of Pharmacology and Toxicology, University of Louisville, Louisville, KY 40202, USA. lrkidd01@louisville.edu
Guy N Brock
Tiva T VanCleave
Marnita L Benford
Nicole A Lavender
Traci L Kruer
James L Wittliff
University of Louisville · US

Funding

UOFL ENVIRONMENTAL HEALTH SCIENCES TRAINING PROGRAMT32ES011564 · NIEHS · UNIVERSITY OF LOUISVILLE · PI David W Hein, John Pierce Wise · 2004 to 2026
$7.1M
Strategic Vision & Impact on Environmental HealthP30ES014443 · NIEHS · UNIVERSITY OF LOUISVILLE · PI PROUGH, RUSSELL ALLEN · 2007 to 2010
$4.4M
NIDCR NIH HHS P20-RR/DE177702NIEHS NIH HHS P30 ES014443NIEHS NIH HHS P30-ES014443NIEHS NIH HHS T32 ES011564
6 · The paper itself

Abstract

introductionBreast cancer (BrCA) risk stratification using clinico-pathological biomarkers helps improve disease prognosis prediction. However, disease recurrence rates remain unfavorable and individualized clinical management strategies are needed. Consequently, we evaluated the influence of 14 sequence variants detected in IL-10, TGF-β1, VEGF, and their associated receptors as effective predictors of BrCA clinical outcomes.

methodsTumor DNA samples collected from 441 BrCA patients were genotyped using TaqMan-PCR. Most selected targets alter cytokine serum/plasma levels or signaling pathways. Relationships between genetic profiles and recurrence as well as disease-related mortality were evaluated using cumulative incidence curves and competing risk regression models.

resultsThe VEGF(-2578)C allele was associated with a 1.3- to 1.6-fold increase in BrCA recurrence (HR(trend) = 1.28; 95% CI = 0.96-1.72) and disease-related mortality (HR(trend) = 1.56; 95% CI = 0.93-2.56). Although this marker was marginally significant relative to BrCA outcomes, there were substantial gains in the 5- and 8-year predictive accuracy compared to standard prognostic indicators. Among ER(+)/PR(+) status patients, there was a significant impact of the VEGF(-2578)CC genotype on disease recurrence and predictive accuracy.

conclusionsOur findings suggest inheritance of the VEGF(-2578)C allele could serve as an independent prognostic indicator of BrCA prognosis. The VEGF(-2578) marker may have clinical implications among a subset of ER(+)/PR(+) patients with an aggressive phenotype. Because the VEGF(-2578)C allele is linked to high VEGF expression, this cytokine is a potential prognostic and targeted clinical management tool.

Indexed as

AdultAgedAged, 80 and overAllelesBiomarkers, TumorBreast NeoplasmsFemaleGenotypeHumansInterleukin-10Middle AgedNeovascularization, PathologicPolymorphism, Single NucleotidePredictive Value of TestsPrognosisProportional Hazards ModelsBiomarkers, TumorInterleukin-10Transforming Growth Factor beta1Vascular Endothelial Growth Factor A

Identifiers

PMID20571871
PMCPMC5046825
OpenAlexW2018761135

What OpenQuestion holds

Textmetadata
LicenceTDM
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.