Evidence map›Paper›PMID 26052072›Full record

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

Prognosis of invasive breast cancer after adjuvant therapy evaluated with VEGF microvessel density and microvascular imaging.

Ying Li, Xi Wei, Sheng Zhang, Jin Zhang

Abstract read
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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 11 papers.

0numbers the graph read from it
0cells of the map it votes in
11citing 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

11 citing papers in PubMed, 21 citations in OpenAlex.

  1. Article
  2. Article
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  4. Review
  5. Article
  6. Article
  7. Comparison of [Molecular imaging and biology · 2018
    Article
  8. The role of angiogenesis in dural arteriovenous fistulae: the story so far.Interventional neuroradiology : journal of peritherapeutic neuroradiology, surgical procedures and related neurosciences · 2018
    Review
  9. Article
  10. Article
  11. The prediction of survival of patients with gastric cancer with PD-L1 expression using contrast-enhanced ultrasonography.Tumour biology : the journal of the International Society for Oncodevelopmental Biology and Medicine · 2016
    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 1 institution in 1 country.

Ying LiThe Third Department of Breast Cancer, National Clinical Research Center of Cancer, Ministry of Education, Key Laboratory of Cancer Prevention and Therapy, Tianjin Medical University Cancer Institute and Hospital, Huanhuxi Road, Hexi District, Tianjin, 300060, China. ddmm74@163.com.
Xi WeiDepartment of Diagnostic and Therapeutic Ultrasonography, National Clinical Research Center of Cancer, Key Laboratory of Cancer Prevention and Therapy, Tianjin Medical University Cancer Institute and Hospital, Tianjin, China.
Sheng ZhangThe Third Department of Breast Cancer, National Clinical Research Center of Cancer, Ministry of Education, Key Laboratory of Cancer Prevention and Therapy, Tianjin Medical University Cancer Institute and Hospital, Huanhuxi Road, Hexi District, Tianjin, 300060, China.
Jin ZhangThe Third Department of Breast Cancer, National Clinical Research Center of Cancer, Ministry of Education, Key Laboratory of Cancer Prevention and Therapy, Tianjin Medical University Cancer Institute and Hospital, Huanhuxi Road, Hexi District, Tianjin, 300060, China. ddmm74@126.com.
Tianjin Medical University Cancer Institute and Hospital · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The aim of this study was to investigate the role of ultrasonographic microvascular imaging in the evaluation of prognosis of patients with invasive breast cancer treated by adjuvant therapies. A total of 121 patients with invasive breast cancer underwent ultrasonographic contrast-enhanced imaging, vascular endothelial growth factor (VEGF) staining, and microvessel density (MVD) counts. The parameters of microvascular imaging and the expression of VEGF and MVD in primary breast cancer were calculated. The correlation between these factors and the overall and progression-free survival rate were analyzed using the Kaplan-Meier method. Among 121 cases, the positive VEGF cases were 75 and negative ones were 46. The cut point of 52.3 was calculated by the regressive curve for MVD counts. The data showed the mean intensity (MI) was positively associated with both the MVD counts (r = .51, p < .001) and VEGF expression (r = .35, p < .001). For the prognosis of patients, high VEGF expression and MVD counts were associated with reduced progressive and survival times (PFS, p = .032 and p = .034; OS, p = .041 and p = .038, respectively). The correlation between parameters of microvascular imaging, VEGF expressive status, and the MVD counts were established. The cut point of mean intensity (MI = 40) was used to investigate as an independent predictor for PFS (p = .021) and OS (p = .025), respectively, due to a strong correlation between MVD counts and VEGF expression in patients with invasive breast cancer. The microvascular imaging could be a visual and helpful tool to predict the prognosis of patients with invasive breast cancer treated by adjuvant therapies.

Indexed as

AdultAgedBreast NeoplasmsChemotherapy, AdjuvantCombined Modality TherapyContrast MediaDiagnostic ImagingDisease-Free SurvivalFemaleHumansKaplan-Meier EstimateMicrocirculationMicrovesselsMiddle AgedNeoplasm InvasivenessNeovascularization, PathologicContrast MediaVascular Endothelial Growth Factor AVEGFA protein, humanAdjuvant therapyInvasive breast cancerMicrovascular imagingMVDVEGF

Identifiers

PMID26052072
OpenAlexW586913413

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.