Evidence map›Paper›PMID 18825410›Full record

ArticleJournal of cancer research and clinical oncology2009

Study on relationship between angiogenesis and micrometastases of peripheral blood in breast cancer.

Xiao-Dong Xie, Shu-Xian Qu, Zhao-Zhe Liu, Fang Zhang, Zhen-Dong Zheng

Abstract read
In one paragraph

Article in Journal of cancer research and clinical oncology, 2009. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
–field-weighted citation impact
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

3 citing papers in PubMed.

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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.

Xiao-Dong XieOncology Department, General Hospital of Shenyang Military Region, 110016, Shenyang, Liaoning, China. xiexiaodong2008@gmail.com
Shu-Xian Qu
Zhao-Zhe Liu
Fang Zhang
Zhen-Dong Zheng

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

purposeTo investigate the relationship between microvessel density, expression of vascular endothelial growth factor A (VEGF-A) and micrometastases in peripheral blood of patients with breast cancer.

methodMicrovessel density (MVD) and expression of VEGF-A were detected by immunohistochemistry S-P. Nested RT-PCR was introduced to detect the expression of hMAM mRNA in peripheral blood of all cases.

resultAverage MVD was 28.95 +/- 6.95 microvessels/100x and positive rate of VEGF-A was 64.0% (32/50) in 50 cases with breast cancer. MVD count and expression of VEGF-A were related to tumor size, metastasis of axillary lymph nodes and clinical stages (P < 0.05), independent of age and histological classification (P > 0.05). The positive rate of hMAM mRNA in peripheral blood was 34.0% (17/50), which correlated with lymphatic metastasis and clinical stages (P < 0.05), independent of pathological category, menopause and hormone receptor (P > 0.05). MVD count and positive rate of VEGF-A in breast cancer with positive expression of hMAM mRNA was obviously higher than those without hMAM mRNA expression (chi (2) = 5.766, P = 0.032; t = 5.37, P = 0.002).

conclusionsMVD count and positive expression of VEGF-A closely correlated to hMAM mRNA released from tumor cells in the circulation. hMAM mRNA is expected to become a valuable marker for further study on micrometastases of breast cancer.

Indexed as

Biomarkers, TumorBreast NeoplasmsDNA-Binding ProteinsDNA PrimersFemaleHumansMicrovesselsNeoplasm MetastasisNeoplasm ProteinsNeoplasm StagingNeovascularization, PathologicRNA, MessengerTrans-ActivatorsTranscription FactorsVascular Endothelial Growth Factor ABiomarkers, TumorDNA-Binding ProteinsDNA PrimersMAML1 protein, humanNeoplasm ProteinsRNA, MessengerTrans-ActivatorsTranscription FactorsVascular Endothelial Growth Factor A

Identifiers

PMID18825410
PMCPMC12160309

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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.