Evidence map›Paper›PMID 42322174›Full record

ArticleThe breast journal2026

Clinical Characteristics and Prognostic Risk Factors in Breast Cancer With Liver Metastasis.

Dandan Yu, Chengjun Zhu, Sujin Yang, Dandan Wang, Xiaoxiang Guan

Abstract read
In one paragraph

Article in The breast journal, 2026. 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
–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

The trial behind it

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3 · Its place in the literature

Who cites it

1 citing paper in PubMed.

  1. Article
4 · The record

Corrections and comments

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5 · Who and what money

Authors and funding

5 authors.

Dandan YuDepartment of Radiation Oncology, The First Affiliated Hospital of Nanjing Medical University, Nanjing, 210029, China, njmu.edu.cn.ORCID https://orcid.org/0000-0001-8268-8678
Chengjun ZhuDepartment of Oncology, The First Affiliated Hospital of Nanjing Medical University, Nanjing, 210029, China, njmu.edu.cn.
Sujin YangDepartment of Breast Surgery, The First Affiliated Hospital of Nanjing Medical University, Nanjing, 210029, China, njmu.edu.cn.
Dandan WangDepartment of Breast Surgery, The First Affiliated Hospital of Nanjing Medical University, Nanjing, 210029, China, njmu.edu.cn.ORCID https://orcid.org/0000-0003-2744-7649
Xiaoxiang GuanDepartment of Oncology, The First Affiliated Hospital of Nanjing Medical University, Nanjing, 210029, China, njmu.edu.cn.ORCID https://orcid.org/0000-0001-6145-0046

Funding

Nanjing Medical University PY2022030National Natural Science Foundation of China
6 · The paper itself

Abstract

backgroundLiver metastasis is a key adverse prognostic factor in breast cancer patients. This research was aimed to assess the development, risk factors, and prognostic determinants of breast cancer liver metastasis (BCLM).

methodsWe retrospectively analyzed the data of breast cancer from the Surveillance, Epidemiology, and End Results (SEER) (N = 560,908) and Jiangsu Province Hospital (JSPH) database (N = 294). The risk factors for BCLM were identified via multivariate logistic regression, and overall survival (OS) was assessed with Kaplan-Meier (KM) survival curves and Cox regression models.

resultsIn the SEER cohort, liver metastasis attacked 1.3% of patients, and the highest incidence was found in the HR-/HER2+ subtype (4.4%). The risk factors for BCLM include young age, high pathological grade, concurrent bone, lung or brain metastasis, and HER2-positive or triple-negative subtype. The median OS of BCLM patients was short (SEER: 22 months; JSPH: 33.5 months). OS was shorter in patients with concomitant metastasis to other organs or with HER2-negative subtype. Hepatic resection remarkably prolonged survival (SEER: 90 vs. 35 months; JSPH: not reached vs. 31.3 months). In the JSPH cohort, molecular subtype changed in 27.5% of patients during metastasis.

conclusionsThe occurrence of BCLM is affected by age, tumor grade, other organ involvement, and molecular subtype. Survival was improved in BCLM patients with liver-only metastasis, HER2-positive subtype, or those who underwent hepatic resection. The number and molecular characteristics of liver metastasis are important prognostic predictors, and receptor conversion highlights the need for reassessment of therapeutic strategies during metastatic progression.

Indexed as

Breast NeoplasmsLiver NeoplasmsAdultAgedErb-b2 Receptor Tyrosine KinasesFemaleHumansMiddle AgedPrognosisRetrospective StudiesRisk FactorsSEER ProgramErb-b2 Receptor Tyrosine Kinasesbreast cancerliver metastasismolecular subtypereceptor conversion

Identifiers

PMID42322174
PMCPMC13282670

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LicenceCC BY
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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.