Evidence map›Paper›PMID 28099938›Full record

ArticleOncotarget2017

BI-RADS 3-5 microcalcifications can preoperatively predict breast cancer HER2 and Luminal a molecular subtype.

DongZhi Cen, Li Xu, Ningna Li, Zhiguang Chen, Lu Wang, Shuqin Zhou, Biao Xu, Chun Ling Liu, Zaiyi Liu, Tingting Luo

Open access · diamondAbstract read
In one paragraph

Article in Oncotarget, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 23 papers.

0numbers the graph read from it
0cells of the map it votes in
23citing papers in PubMed
1.6field-weighted citation impact, top 18% of its field
1 · What the graph read from it

What it found

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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

23 citing papers in PubMed, 38 citations in OpenAlex.

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  11. Clinical and X-ray characteristics for expressions of different receptors in patients with breast cancer.Zhong nan da xue xue bao. Yi xue ban = Journal of Central South University. Medical sciences · 2021
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4 · The record

Corrections and comments

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5 · Who and what money

Authors and funding

10 authors at 4 institutions in 1 country.

DongZhi CenDepartment of Radiation Oncology and Department of Nuclear Medicine, The Third Affiliated Hospital of Guangzhou Medical University, Guangzhou, 510150, Guangdong Province, People's Republic of China.
Li XuGuangdong Provincial Traditional Chinese Medicine Hospital, Guangzhou, Guangdong Province 510120, P.R. China.
Ningna LiGuangdong Provincial Traditional Chinese Medicine Hospital, Guangzhou, Guangdong Province 510120, P.R. China.
Zhiguang ChenGuangdong Provincial Traditional Chinese Medicine Hospital, Guangzhou, Guangdong Province 510120, P.R. China.
Lu WangGuangdong Provincial Traditional Chinese Medicine Hospital, Guangzhou, Guangdong Province 510120, P.R. China.
Shuqin ZhouGuangdong Provincial Traditional Chinese Medicine Hospital, Guangzhou, Guangdong Province 510120, P.R. China.
Biao XuGuangdong Provincial Traditional Chinese Medicine Hospital, Guangzhou, Guangdong Province 510120, P.R. China.
Chun Ling LiuDepartment of Radiology, Guangdong General Hospital, Guangdong Academy of Medical Sciences, Guangzhou, Guangdong Province 510080, People's Republic of China.
Zaiyi LiuDepartment of Radiology, Guangdong General Hospital, Guangdong Academy of Medical Sciences, Guangzhou, Guangdong Province 510080, People's Republic of China.
Tingting LuoDepartment of Ultrasound, The Third People's Hospital of Shenzhen, Guangdong Shenzhen 518112, China.
Guangdong Provincial Hospital of Traditional Chinese Medicine · CNGuangdong Academy of Medical Sciences · CNGuangzhou Medical University · CNShenzhen Third People’s Hospital · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

purposeTo investigate associations between breast cancer molecular subtype and the patterns of mammographically detected calcifications.

resultsIdentified were 93 (19.1%) Luminal A, 242 (49.9%) Luminal B, 108 (22.2%) HER2 and 42 (8.7%) basal subtypes. In univariate analysis, the clinicopathological parameters and BI-RADS 3-5 microcalcifications, which consisted 9 selected features was significantly associated with breast cancer molecular subtype (all P < 0.05). Among subtypes, multivariate analysis showed that calcification >2 cm in range (OR: 1.878, 95% CI: 1.150 to 3.067) and calcification > 0.5 mm in diameter (OR:2.206, 95% CI: 1.235 to 3.323) was independently predictive of HER2 subtype. The model showed good discrimination for predicting HER2 subtype, with a C-index of 0.704. In addition, multivariate analysis showed that calcification morphology (amorphour or coarse heterogenous calcifications OR: 2.847, 95% CI: 1.526 to 5.312) was independently predictive of Luminal A subtype. The model showed good discrimination for predicting Luminal A subtype, with a C-index of 0.74. And we demonstrated that amorphour or coarse heterogenous calcifications were associated with a higher incidence of Luminal A subtype than pleomorphic or fine linear or branching calcifications. There was no significant difference between breast cancer subtypes (Luminal B vs. other; Basal vs. other) and the patterns of mammographically detected calcifications. MATERIALS AND

methodsMammographic images of 485 female patients were included. The correlation between mammographic imaging features and breast cancer subtype was analyzed using Chi-square test, univariate and binary logistic regression analysis.

conclusionsThis study shows that BI-RADS 3-5 microcalcifications can be conveniently used to facilitate the preoperative prediction of HER2 and Luminal A molecular subtype in patients with infiltrating ductal carcinoma.

Indexed as

AdultAgedBiomarkers, TumorBreast NeoplasmsCalcinosisCarcinoma, Ductal, BreastCluster AnalysisErb-b2 Receptor Tyrosine KinasesFemaleHumansImmunohistochemistryMammographyMiddle AgedBiomarkers, TumorERBB2 protein, humanErb-b2 Receptor Tyrosine Kinasesbreast cancer molecular subtypecalcificationinfiltrating ductal carcinomalogistic regressionmammography

Identifiers

PMID28099938
PMCPMC5355144
OpenAlexW2573367314

What OpenQuestion holds

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LicenceCC BY
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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.