Evidence map›Paper›PMID 32030658›Full record

ArticleBreast cancer (Tokyo, Japan)2020

Growth pattern can be used as a new characteristic to predict malignancy in breast cancer.

Bin Wang, Lizhe Zhu, Chenyang He, Minghui Tai, Can Zhou, Guanqun Ge, Huimin Zhang, Jianjun He, Ke Wang

Open access · hybridAbstract readMulticenter Study
In one paragraph

Article in Breast cancer (Tokyo, Japan), 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
0.1field-weighted citation impact, top 64% 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

1 citing paper in PubMed, 1 citations in OpenAlex.

  1. 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

9 authors at 1 institution in 1 country.

Bin Wang *Department of Breast Surgery, The First Affiliated Hospital of Xi'an Jiaotong University, 277 Yanta Western Road, Xi' an, 710061, Shaanxi, China.
Lizhe Zhu *Department of Breast Surgery, The First Affiliated Hospital of Xi'an Jiaotong University, 277 Yanta Western Road, Xi' an, 710061, Shaanxi, China.
Chenyang HeDepartment of Breast Surgery, The First Affiliated Hospital of Xi'an Jiaotong University, 277 Yanta Western Road, Xi' an, 710061, Shaanxi, China.
Minghui TaiDepartment of Ultrasound, The First Affiliated Hospital of Xi'an Jiaotong University, 277 Yanta Western Road, Xi'an, 710061, Shaanxi, China.
Can ZhouDepartment of Breast Surgery, The First Affiliated Hospital of Xi'an Jiaotong University, 277 Yanta Western Road, Xi' an, 710061, Shaanxi, China.
Guanqun GeDepartment of Breast Surgery, The First Affiliated Hospital of Xi'an Jiaotong University, 277 Yanta Western Road, Xi' an, 710061, Shaanxi, China.
Huimin ZhangDepartment of Breast Surgery, The First Affiliated Hospital of Xi'an Jiaotong University, 277 Yanta Western Road, Xi' an, 710061, Shaanxi, China.
Jianjun HeDepartment of Breast Surgery, The First Affiliated Hospital of Xi'an Jiaotong University, 277 Yanta Western Road, Xi' an, 710061, Shaanxi, China.
Ke WangDepartment of Breast Surgery, The First Affiliated Hospital of Xi'an Jiaotong University, 277 Yanta Western Road, Xi' an, 710061, Shaanxi, China. 979915080@qq.com.ORCID http://orcid.org/0000-0003-1487-190X
First Affiliated Hospital of Xi'an Jiaotong University · CN

Funding

the National Natural Science Fund of China 81702633
6 · The paper itself

Abstract

backgroundTo date, anatomic tumor length is a key criterion for cancer staging and can be used to evaluate the effectiveness of therapies. This article describes growth pattern that can be used as a new characteristic to represent disease burden and tumor features and predict lymphatic metastasis.

methodsPatients with breast cancer were included in this 10-year (1999-2008) hospital-based multicenter retrospective study. The pathologic length/height ratio was used to illustrate the correlation between tumor features, behaviors and treatments in breast malignancies. The most appropriate ratio was chosen based on the comprehensive evaluation of p value and changing trend of each characteristic.

resultsThe sample consisted of 4211 women diagnosed with breast cancer. Among them, 2037 patients with complete pathologic length, width and height information were included in the final analysis. There were 2.34 ± 4.77 metastatic lymph nodes for spheroid tumors and 3.21 ± 5.82 for ellipsoid tumors when the cutoff point was 2. In addition, the proportion of ellipsoidal tumors gradually increased from 54.36 to 56.67% in the upper outer quadrant (UOQ) and from 6.7 to 9.03% in the central region with an increase in the cutoff point. The proportion of ER + PR + ellipsoid tumors significantly decreased from 50.1 to 45.35% and that of ER-PR ellipsoid tumors significantly increased from 32.73 to 36.24% with an increase in the cutoff point. Additionally, the best length/weight ratio to distinguish spheroid and ellipsoid tumors was 2.

conclusionThis study described for the first time how growth pattern is correlated with tumor malignancy and how it influences the selection of therapeutic strategies for patients.

Indexed as

Breast NeoplasmsCarcinoma, Ductal, BreastCarcinoma, LobularErb-b2 Receptor Tyrosine KinasesFemaleFollow-Up StudiesHumansMastectomyMiddle AgedPrognosisReceptors, EstrogenReceptors, ProgesteroneRetrospective StudiesERBB2 protein, humanErb-b2 Receptor Tyrosine KinasesReceptors, EstrogenReceptors, ProgesteroneBreast neoplasmsGrowthPrognosisPublic health

Identifiers

PMID32030658
PMCPMC7196087
OpenAlexW3004965160

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.