Department of Internal Medicine, Harbin Medical University Cancer Hospital, Harbin Medical University, Harbin, Heilongjiang, China.
Department of Breast Surgery, Harbin Medical University Cancer Hospital, Harbin Medical University, Harbin, Heilongjiang, China.
Cancer Biomark. 2023;38(1):121-130. doi: 10.3233/CBM-230011.
Bone 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.
This study aims to evaluate the prognostic value of adipose tissue for bone metastasis in BC patients.
517 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.
Compared 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).
SFI is an independent predictor of bone metastasis in BC patients.
骨转移影响 50%至 70%的乳腺癌（BC）患者，且死亡率较高。脂肪组织丢失在癌症的进展中起着关键作用。
本研究旨在评估脂肪组织对 BC 患者骨转移的预后价值。
回顾性研究了 517 例 BC 患者。收集了手术前患者的特征。在第 11 胸椎水平对皮下脂肪指数（SFI）进行定量测量。为了调整低 SFI 和高 SFI 组之间的异质性，使用倾向评分匹配（PSM）。采用 Kaplan-Meier 法估计 5 年骨转移发生率。采用 Cox 回归模型进行预后分析。
与无骨转移的患者相比，有骨转移的患者 SFI 水平降低。此外，Kaplan-Meier 分析表明，SFI 较低的患者更容易发生骨转移。Cox 回归分析证实了 SFI 对骨转移的独立预测价值。进行 1:1 比例的 PSM 后，再次进行生存分析，结果相似（P<0.05）。
SFI 是 BC 患者骨转移的独立预测因子。
