Evidence map›Paper›PMID 31798694›Full record

ArticleTherapeutic advances in medical oncology2019

Metastasis pattern and prognosis of male breast cancer patients in US: a population-based study from SEER database.

Jun Xie, Yao-Yu Ying, Bin Xu, Yan Li, Xian Zhang, Chong Li

Abstract read
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Article in Therapeutic advances in medical oncology, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 31 papers.

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31citing papers in PubMed
–field-weighted citation impact
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

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3 · Its place in the literature

Who cites it

31 citing papers in PubMed.

  1. Article
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  3. Novel Insights into the Enigmatic Genetics of Male Breast Cancer in China.Pathophysiology : the official journal of the International Society for Pathophysiology · 2026
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4 · The record

Corrections and comments

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5 · Who and what money

Authors and funding

6 authors.

Jun XieDepartment of Respiration, Third Affiliated Hospital of Soochow University, First People's Hospital of Changzhou, Changzhou, China.ORCID https://orcid.org/0000-0003-3909-9231
Yao-Yu YingDepartment of Epidemiology and Biostatistics, Soochow University, Suzhou, Jiangsu, China.
Bin XuDepartment of Tumor Biological Treatment, Third Affiliated Hospital of Soochow University, First People's Hospital of Changzhou, Changzhou, China.
Yan LiDepartment of Respiration, Third Affiliated Hospital of Soochow University, First People's Hospital of Changzhou, Changzhou, China.
Xian ZhangDepartment of Respiration, Third Affiliated Hospital of Soochow University, First People's Hospital of Changzhou, Changzhou, China.
Chong LiDepartment of Respiration, Third Affiliated Hospital of Soochow University, First People's Hospital of Changzhou, Juqian Road No.185, Changzhou 213000, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThe aims of this study were to analyze the metastasis pattern and prognosis of male breast cancer (MBC) and compare it with female breast cancer (FBC), and to determine the independent factors affecting the prognosis of MBC patients.

methodsMetastatic MBC diagnosed in the Surveillance, Epidemiology and End results (SEER) database from 2010 to 2015 were selected. Chi-squared test was used to compare clinicopathological characteristics. Survival differences were compared by Kaplan-Meier analysis. Cox proportional hazard model was used to determine the prognostic factors affecting overall survival.

resultsA total of 2754 MBC patients were identified, of which 196 had distant metastasis. Compared with nonmetastatic MBC, metastatic MBC patients had a higher proportion of <60 years old and grade III-IV, and were more likely to receive chemotherapy and radiotherapy, while the proportion of surgery, central portion of the breast, and Her2-/HR+ was lower. Compared with metastatic FBC, metastatic MBC patients had a higher proportion of ⩾60 years old, central portion of the breast, surgery, simultaneous bone and lung metastasis, while the proportion of Her2+/HR-, triple negative, liver metastasis only, and simultaneous bone and liver metastasis was lower. MBC patients with lung alone, bone alone, and simultaneous lung and bone metastasis had a higher hazard ratio (2.41; 3.06; 2.52;

conclusionsCompared with nonmetastatic MBC patients, metastatic MBC patients had unique clinicopathological features, and were also different from metastatic FBC patients. However, there was no difference in prognosis between metastatic MBC and FBC patients. Distant metastasis was an independent risk factor for the prognosis of MBC patients.

Indexed as

breast cancermalemetastasisprognosisSEER

Identifiers

PMID31798694
PMCPMC6859799

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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.