Evidence map›Paper›PMID 37545220›Full record

ArticleCancer biomarkers : section A of Disease markers2023

Lower subcutaneous fat index predicts bone metastasis in breast cancer.

Wen Wang, Wen-Juan Huang, Ping-Ping Liu, Shuang Fu, Meng-Lin Zhang, Xin Zhang, Rui-Tao Wang, Yuan-Xi Huang

Abstract read
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Article in Cancer biomarkers : section A of Disease markers, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

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2citing papers in PubMed
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3 · Its place in the literature

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2 citing papers in PubMed.

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4 · The record

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5 · Who and what money

Authors and funding

8 authors.

Wen WangDepartment of Internal Medicine, Harbin Medical University Cancer Hospital, Harbin Medical University, Harbin, Heilongjiang, China.
Wen-Juan HuangDepartment of Internal Medicine, Harbin Medical University Cancer Hospital, Harbin Medical University, Harbin, Heilongjiang, China.
Ping-Ping LiuDepartment of Internal Medicine, Harbin Medical University Cancer Hospital, Harbin Medical University, Harbin, Heilongjiang, China.
Shuang FuDepartment of Internal Medicine, Harbin Medical University Cancer Hospital, Harbin Medical University, Harbin, Heilongjiang, China.
Meng-Lin ZhangDepartment of Internal Medicine, Harbin Medical University Cancer Hospital, Harbin Medical University, Harbin, Heilongjiang, China.
Xin ZhangDepartment of Internal Medicine, Harbin Medical University Cancer Hospital, Harbin Medical University, Harbin, Heilongjiang, China.
Rui-Tao WangDepartment of Internal Medicine, Harbin Medical University Cancer Hospital, Harbin Medical University, Harbin, Heilongjiang, China.
Yuan-Xi HuangDepartment of Breast Surgery, Harbin Medical University Cancer Hospital, Harbin Medical University, Harbin, Heilongjiang, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundBone metastases affect 50% to 70% of breast cancer (BC) patients and have a high mortality rate. Adipose tissue loss plays a pivotal role in the progression of cancer.

objectiveThis study aims to evaluate the prognostic value of adipose tissue for bone metastasis in BC patients.

methods517 BC patients were studied retrospectively. Patients' characteristics before the surgery were collected. Quantitative measurements of the subcutaneous fat index (SFI) were performed at the level of the eleventh thoracic vertebra. In order to adjust for the heterogeneity between the low SFI and high SFI groups, propensity score matching (PSM) was used. The Kaplan-Meier method was used to estimate the 5-year bone metastatic incidence. The prognostic analysis was performed with the Cox regression models.

resultsCompared with the patients without bone metastasis, the patients with bone metastasis had reduced SFI levels. In addition, Kaplan-Meier analysis revealed that patients with low SFI were more likely to develop bone metastases. The independent predictive value of SFI for bone metastases was confirmed by Cox regression analysis. The survival analysis was repeated after PSM with a 1:1 ratio, yielding similar results (P< 0.05).

conclusionsSFI is an independent predictor of bone metastasis in BC patients.

Indexed as

Bone NeoplasmsBreast NeoplasmsBreastFemaleHumansPrognosisRetrospective StudiesSubcutaneous Fatbone metastasisBreast cancerpropensity score analysissubcutaneous fat indexvisceral fat index

Identifiers

PMID37545220
PMCPMC12412840

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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.