Evidence map›Paper›PMID 30008856›Full record

ArticleOncology letters2018

Correlation between ultrasonic features and expression levels of C-erbB-2, VEGF and nm23 in breast cancer.

Min Nie, Yongchun Qin, Jiafeng Zhu, Yanzhi Li, Zhibin Wang

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Article in Oncology letters, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
0.4field-weighted citation impact, top 40% 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

4 citing papers in PubMed, 5 citations in OpenAlex.

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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 at 3 institutions in 1 country.

Min NieDepartment of Medical Imaging, The Affiliated Hospital of Qingdao University, Qingdao, Shandong 266001, P.R. China.
Yongchun QinDepartment of Medical Imaging, People's Hospital of Rizhao, Rizhao, Shandong 276800, P.R. China.
Jiafeng ZhuDepartment of Medical Imaging, People's Hospital of Rizhao, Rizhao, Shandong 276800, P.R. China.
Yanzhi LiICU, People's Hospital of Zhangqiu, Jinan, Shandong 250000, P.R. China.
Zhibin WangDepartment of Medical Imaging, The Affiliated Hospital of Qingdao University, Qingdao, Shandong 266001, P.R. China.
People’s Hospital of Rizhao · CNQingdao University · CNZhangqiu City People's Hospital · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Breast cancer is one of the most common female malignancies in clinical practice, which ranks number one in terms of its high incidence. We investigated the relevance of ultrasonic features of breast cancer and expression levels of C-erbB-2, vascular endothelial growth factor (VEGF) and nm23 and its clinical significance. A total of 76 patients with breast cancer were recruited who were admitted to The Affiliated Hospital of Qingdao University from January, 2016 to August, 2017. All patients underwent color Doppler ultrasonic imaging, and expression levels of C-erbB-2, VEGF and nm23 in their tumor tissues were measured by immunohistochemistry. The ultrasonic features were evaluated and compared with the expression levels of C-erbB-2, VEGF and nm23 for each patient. Ultrasonography showed a tumor mass with spiculated margins, abnormal vasculature, and a diameter no less than 3 cm, as well as lymph node metastasis. The above signs were associated with high expression of C-erbB-2, VEGF and nm23 (p<0.05), but calcification was not associated with high expression of these biomarkers (p>0.05). For patients with highly expressed C-erbB-2 and VEGF, the time to peak (TTP) of the time-intensity curve obtained by contrast enhanced ultrasound was shorter, while the peak intensity (PI) was higher. On the contrary, for patients with highly expressed nm23, the TTP was apparently longer, while the PI was lower (p<0.05). The ultrasonic features of breast cancer were relevant to the expression levels of C-erbB-2, VEGF and nm23. Thus, the expression levels of C-erbB-2, VEGF and nm23 were predictable indirectly according to the ultrasonic features of the patient, which can be used as a reference for breast cancer treatment and prognosis prediction.

Indexed as

breast cancerC-erbB-2nm23ultrasoundvascular endothelial growth factor

Identifiers

PMID30008856
PMCPMC6036493
OpenAlexW2805019975

What OpenQuestion holds

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LicenceCC BY-NC-ND
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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.