Evidence map›Paper›PMID 30761775›Full record

ArticleCancer medicine2019

Comparison of breast cancer risk factors among molecular subtypes: A case-only study.

Liwen Zhang, Yubei Huang, Ziwei Feng, Xin Wang, Haixin Li, Fangfang Song, Luyang Liu, Junxian Li, Hong Zheng, Peishan Wang and 2 more

Open access · goldAbstract read
In one paragraph

Article in Cancer medicine, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 25 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
25citing papers in PubMed, 1 pooled it
2.1field-weighted citation impact, top 13% 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

25 citing papers in PubMed, 1 synthesis or guideline pooled it, 53 citations in OpenAlex.

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  12. Evaluation of a population-based breast cancer screening in North China.Journal of cancer research and clinical oncology · 2023
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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

12 authors at 1 institution in 1 country.

Liwen ZhangKey Laboratory of Breast Cancer Prevention and Therapy in Ministry of Education, Key Laboratory of Molecular Cancer Epidemiology of Tianjin, Department of Epidemiology and Biostatistics, National Clinical Research Center for Cancer, Tianjin Medical University Cancer Institute and Hospital, Tianjin, People's Republic of China.
Yubei HuangKey Laboratory of Breast Cancer Prevention and Therapy in Ministry of Education, Key Laboratory of Molecular Cancer Epidemiology of Tianjin, Department of Epidemiology and Biostatistics, National Clinical Research Center for Cancer, Tianjin Medical University Cancer Institute and Hospital, Tianjin, People's Republic of China.
Ziwei FengKey Laboratory of Breast Cancer Prevention and Therapy in Ministry of Education, Key Laboratory of Molecular Cancer Epidemiology of Tianjin, Department of Epidemiology and Biostatistics, National Clinical Research Center for Cancer, Tianjin Medical University Cancer Institute and Hospital, Tianjin, People's Republic of China.
Xin WangKey Laboratory of Breast Cancer Prevention and Therapy in Ministry of Education, Key Laboratory of Molecular Cancer Epidemiology of Tianjin, Department of Epidemiology and Biostatistics, National Clinical Research Center for Cancer, Tianjin Medical University Cancer Institute and Hospital, Tianjin, People's Republic of China.
Haixin LiKey Laboratory of Breast Cancer Prevention and Therapy in Ministry of Education, Key Laboratory of Molecular Cancer Epidemiology of Tianjin, Department of Epidemiology and Biostatistics, National Clinical Research Center for Cancer, Tianjin Medical University Cancer Institute and Hospital, Tianjin, People's Republic of China.
Fangfang SongKey Laboratory of Breast Cancer Prevention and Therapy in Ministry of Education, Key Laboratory of Molecular Cancer Epidemiology of Tianjin, Department of Epidemiology and Biostatistics, National Clinical Research Center for Cancer, Tianjin Medical University Cancer Institute and Hospital, Tianjin, People's Republic of China.
Luyang LiuKey Laboratory of Breast Cancer Prevention and Therapy in Ministry of Education, Key Laboratory of Molecular Cancer Epidemiology of Tianjin, Department of Epidemiology and Biostatistics, National Clinical Research Center for Cancer, Tianjin Medical University Cancer Institute and Hospital, Tianjin, People's Republic of China.
Junxian LiKey Laboratory of Breast Cancer Prevention and Therapy in Ministry of Education, Key Laboratory of Molecular Cancer Epidemiology of Tianjin, Department of Epidemiology and Biostatistics, National Clinical Research Center for Cancer, Tianjin Medical University Cancer Institute and Hospital, Tianjin, People's Republic of China.
Hong ZhengKey Laboratory of Breast Cancer Prevention and Therapy in Ministry of Education, Key Laboratory of Molecular Cancer Epidemiology of Tianjin, Department of Epidemiology and Biostatistics, National Clinical Research Center for Cancer, Tianjin Medical University Cancer Institute and Hospital, Tianjin, People's Republic of China.
Peishan WangKey Laboratory of Breast Cancer Prevention and Therapy in Ministry of Education, Key Laboratory of Molecular Cancer Epidemiology of Tianjin, Department of Epidemiology and Biostatistics, National Clinical Research Center for Cancer, Tianjin Medical University Cancer Institute and Hospital, Tianjin, People's Republic of China.
Fengju SongKey Laboratory of Breast Cancer Prevention and Therapy in Ministry of Education, Key Laboratory of Molecular Cancer Epidemiology of Tianjin, Department of Epidemiology and Biostatistics, National Clinical Research Center for Cancer, Tianjin Medical University Cancer Institute and Hospital, Tianjin, People's Republic of China.ORCID 0000-0003-1542-0828
Kexin ChenKey Laboratory of Breast Cancer Prevention and Therapy in Ministry of Education, Key Laboratory of Molecular Cancer Epidemiology of Tianjin, Department of Epidemiology and Biostatistics, National Clinical Research Center for Cancer, Tianjin Medical University Cancer Institute and Hospital, Tianjin, People's Republic of China.
Tianjin Medical University Cancer Institute and Hospital · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Epidemiological studies have a clear definition of the risk factors for breast cancer. However, it is unknown whether the distribution of these factors differs among breast cancer subtypes. We conducted a hospital-based case-only study consisting of 8067 breast cancer patients basing on the Tianjin Cohort of Breast Cancer Cases. Major breast cancer subtypes including luminal A, luminal B, human epidermal growth factor receptor 2 (HER2)-enriched and basal-like were defined by estrogen receptor, progesterone receptor, HER2, and Ki-67 status. Variables including demographic characteristics, reproductive factors, lifestyle habits, imaging examination, and clinicopathologic data were collected for patients. Chi-square test and one-way analysis of variance were used to compare the distributions of variables among the four breast cancer subtypes. Multivariate logistic regression was used to estimate the odds ratios and associated 95% confidence intervals where luminal A patients served as the reference group. Overall, more commonality rather than heterogeneity on the distributions of factors was found between the four molecular subtypes of breast cancer. The proportion of overweight and obesity were lower in HER2-enriched subtype. Women with age at menarche ≤13 years were more likely to be found in basal-like subtype. Postmenopausal women were more frequent in HER2-enriched and basal-like subtypes. Women with benign breast disease and higher breast density were more common in HER2-enriched subtype. Risk factor scoring showed that total risk scores were similar among the four subtypes. HER2-enriched and basal-like subtypes were more frequently diagnosed with large tumors. Calcification was more likely to be found in luminal B and HER2-enriched subtypes, whereas less distributed in basal-like subtype. Most of the breast cancer risk factors were similarly distributed among the four major breast cancer subtypes; commonality is predominant.

Indexed as

AdultAge FactorsBiomarkers, TumorBody Mass IndexBreast DensityBreast NeoplasmsChinaErb-b2 Receptor Tyrosine KinasesFemaleHumansLife StyleMiddle AgedOverweightProspective StudiesReproductive HistoryRisk FactorsBiomarkers, TumorERBB2 protein, humanErb-b2 Receptor Tyrosine Kinasesbreast cancerepidemiologymolecular subtyperisk factorTBCCC

Identifiers

PMID30761775
PMCPMC6488156
OpenAlexW2911257647

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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.