Evidence map›Paper›PMID 37688399›Full record

ArticleCancer medicine2023

The metastasis patterns and their prognostic features in patients with de novo metastatic breast cancer of different ages.

Shujuan Sun, Xiaochu Man, Dongdong Zhou, Fangchao Zheng, Jiuda Zhao, Xuesong Chen, Tong Liu, Jie Huang, Qiaorui Tan, Na Li and 1 more

Abstract read
In one paragraph

Article in Cancer medicine, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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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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

3 citing papers in PubMed.

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4 · The record

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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

11 authors.

Shujuan SunDepartment of Breast Medical Oncology, Shandong Cancer Hospital and Institute, Shandong First Medical University and Shandong Academy of Medical Sciences, Jinan, China.
Xiaochu ManDepartment of Breast Medical Oncology, Shandong Cancer Hospital and Institute, Shandong First Medical University and Shandong Academy of Medical Sciences, Jinan, China.
Dongdong ZhouDepartment of Breast Medical Oncology, Shandong Cancer Hospital and Institute, Shandong First Medical University and Shandong Academy of Medical Sciences, Jinan, China.
Fangchao ZhengDepartment of Breast Medical Oncology, Shandong Cancer Hospital and Institute, Shandong First Medical University and Shandong Academy of Medical Sciences, Jinan, China.
Jiuda ZhaoBreast Disease Diagnosis and Treatment Center of Affiliated Hospital of Qinghai University & Affiliated Cancer Hospital of Qinghai University, Xining, China.ORCID 0000-0002-1266-8943
Xuesong ChenDepartment of Breast Medical Oncology, Harbin Medical University Cancer Hospital, Harbin, China.
Tong LiuDepartment of Breast Surgery, Harbin Medical University Cancer Hospital, Harbin, China.
Jie HuangDepartment of Breast Medical Oncology, Shandong Cancer Hospital and Institute, Shandong First Medical University and Shandong Academy of Medical Sciences, Jinan, China.
Qiaorui TanDepartment of Breast Medical Oncology, Shandong Cancer Hospital and Institute, Shandong First Medical University and Shandong Academy of Medical Sciences, Jinan, China.
Na LiDepartment of Breast Medical Oncology, Shandong Cancer Hospital and Institute, Shandong First Medical University and Shandong Academy of Medical Sciences, Jinan, China.
Huihui LiDepartment of Breast Medical Oncology, Shandong Cancer Hospital and Institute, Shandong First Medical University and Shandong Academy of Medical Sciences, Jinan, China.

Funding

Beijing Science and Technology Innovation Fund KC2021-ZZ-0010-1Shandong Provincial Natural Science Foundation Anti-cancer and Prevention Joint Fund ZR2022LZL004Wu Jieping Medical Foundation for Clinical Scientific Research 320.6750.2021-14-7
6 · The paper itself

Abstract

purposeThe prognostic outcomes of metastasis patterns in patients with de novo metastatic breast cancer (dnMBC) of different ages are unknown. Our study used a large-scale data to investigate the metastasis patterns and prognostic features in dnMBC of different ages.

methodsTotal 24,698 women with dnMBC in the Surveillance, Epidemiology and End Results database (2010-2018) were divided into three groups by age. Chi-squared test was used to compare metastasis patterns and logistic regression was performed to investigate the risk of age and specific organ metastases. Kaplan-Meier survival curves were used to compare the overall survival.

resultsIn three groups, young group had the largest proportion of liver metastases (35.2% vs. 28.2% vs. 21.1%, p < 0.001), and elderly group had the largest proportion of lung metastases (22.6% vs. 30.0% vs. 35.0%, p < 0.001) and the lowest proportion of bone metastases (65.7% vs. 67.6% vs. 64.4%, p < 0.001). In young group, patients with liver metastases had better prognosis than patients with lung metastases (MST: 34 months vs. 29 months, p = 0.041), but in middle-aged and elderly groups, the prognosis of lung metastases was better than that of liver metastases (MST in middle-aged group: 24 months vs. 20 months, p = 0.002; MST in elderly group: 12 months vs. 6 months, p < 0.001).

conclusionDnMBC patients at different age have distinct metastasis patterns and prognostic features. The findings lend support to consideration of tailored management and surveillance strategies for different age patients.

Indexed as

Bone NeoplasmsBreast NeoplasmsLiver NeoplasmsLung NeoplasmsAdultAgedAged, 80 and overAge FactorsFemaleHumansKaplan-Meier EstimateMiddle AgedNeoplasm MetastasisPrognosisSEER ProgramageDe novo metastatic breast cancermetastasis patternprognosis

Identifiers

PMID37688399
PMCPMC10557883

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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.