Evidence map›Paper›PMID 27195611›Full record

ArticleCancer biology & therapy2016

Prognostic evaluation of VEGFA genotypes and haplotypes in a cohort of Brazilian women with non metastatic breast cancer.

Hayra de Andrade Vieira-Monteiro, Daniely Regina Freitas-Alves, Marcelo Sobral-Leite, João Marcos de Azevedo Delou, Sheyla Maria Torres Goulart-Citrangulo, Camila Telles do Nascimento, Thales Nascimento E Castro, Sérgio Koifman, Jamila Alessandra Perini, Rosane Vianna-Jorge

Open access · bronzeAbstract read
In one paragraph

Article in Cancer biology & therapy, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed
1.0field-weighted citation impact, top 25% 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

7 citing papers in PubMed, 10 citations in OpenAlex.

  1. Association ofInternational journal of molecular sciences · 2026
    Article
  2. Article
  3. Article
  4. Article
  5. Loss of constitutiveBreast cancer (Dove Medical Press) · 2017
    Article
  6. Review
  7. 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

10 authors at 4 institutions in 2 countries.

Hayra de Andrade Vieira-Monteiroa Coordenação de Pesquisa, Instituto Nacional do Câncer , Rio de Janeiro , RJ , Brasil.
Daniely Regina Freitas-Alvesa Coordenação de Pesquisa, Instituto Nacional do Câncer , Rio de Janeiro , RJ , Brasil.
Marcelo Sobral-Leitea Coordenação de Pesquisa, Instituto Nacional do Câncer , Rio de Janeiro , RJ , Brasil.
João Marcos de Azevedo Deloua Coordenação de Pesquisa, Instituto Nacional do Câncer , Rio de Janeiro , RJ , Brasil.
Sheyla Maria Torres Goulart-Citranguloa Coordenação de Pesquisa, Instituto Nacional do Câncer , Rio de Janeiro , RJ , Brasil.
Camila Telles do Nascimentoa Coordenação de Pesquisa, Instituto Nacional do Câncer , Rio de Janeiro , RJ , Brasil.
Thales Nascimento E Castroa Coordenação de Pesquisa, Instituto Nacional do Câncer , Rio de Janeiro , RJ , Brasil.
Sérgio Koifmanb Programa de Saúde Pública e Meio Ambiente - Escola Nacional de Saúde Pública - FIOCRUZ , Rio de Janeiro , RJ , Brasil.
Jamila Alessandra Perinib Programa de Saúde Pública e Meio Ambiente - Escola Nacional de Saúde Pública - FIOCRUZ , Rio de Janeiro , RJ , Brasil.
Rosane Vianna-Jorgea Coordenação de Pesquisa, Instituto Nacional do Câncer , Rio de Janeiro , RJ , Brasil.
Instituto Nacional do Câncer · BREscola Nacional de Saúde Pública · BRFundação Oswaldo Cruz · BROncode Institute · NL

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Vascular Endothelial Growth Factor (VEGF) mediates angiogenesis, which is crucial for tumor development and progression. The present study aimed to evaluate the impact of VEGFA gene polymorphisms rs699947, rs833061, rs1570360, rs2010963 and rs3025039 on breast cancer features and prognosis. A cohort of Brazilian women (N = 1038) with unilateral non-metastatic breast cancer was evaluated. The association between VEGFA polymorphisms and histopathological features or pathological complete response (pCR) to neoadjuvant chemotherapy was evaluated by the Chi-square test, with calculation of the respective odds ratio (OR) and 95% confidence intervals (95% CI). The impact of individual categories on disease-free survival was evaluated using Kaplan-Meier curves and multivariate Cox proportional hazards regression models for calculation of adjusted hazard ratios (HRadjusted). Variant genotypes of rs699947 (CA + AA) were significantly associated with high-grade (G2 + G3) tumors (OR = 1.82; 95% CI = 1.15 - 2.89), and with shorter disease-free survival among patients treated with neoadjuvant chemotherapy followed by mastectomy (HRadjusted = 1.82; 95% CI = 1.16 - 2.86). Variant genotypes of rs833061 (TC + CC) were significantly associated with high-grade (G2 + G3) tumors (OR = 1.79; 95% CI = 1.12 - 2.84) and with positive lymph node status (OR = 1.34; 95% CI = 1.01 - 1.77), but showed no independent effect on disease-free survival. Variant haplotypes (*2 to *5) appear to favor pCR (OR = 7.1; 95% CI = 1.7 - 30.1). VEGFA genotyping may add to prognostic evaluation of breast cancer, with rs699947 being the most likely to contribute.

Indexed as

AdultAgedAged, 80 and overBrazilBreast NeoplasmsCohort StudiesDisease-Free SurvivalGenotypeHaplotypesHumansMiddle AgedPrognosisVascular Endothelial Growth Factor AYoung AdultVascular Endothelial Growth Factor AAngiogenesisbreast cancerdisease-free survivalhaplotypespolymorphismsprognostic factorsVEGFA

Identifiers

PMID27195611
PMCPMC4990402
OpenAlexW2407940360

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.