CELL INTELLIGENCE · 肿瘤细胞治疗研究
肿瘤细胞治疗研究
英文原题:Relationship between FDG-PET and the immune microenvironment in breast cancer.
Relationship between FDG-PET and the immune microenvironment in breast cancer.
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FDG 摄取可能预测乳腺癌患者的免疫学特征和侵袭性特征。
探讨氟脱氧葡萄糖(FDG)摄取(最大标准化摄取值[SUVmax])与免疫标志物(TIL(肿瘤浸润淋巴细胞)[TILs]和中性粒细胞与淋巴细胞比值[NLR])之间的关系,并评估任何相关性的潜在预后价值。
回顾了502例接受手术的乳腺癌患者数据,包括346例ER阳性/HER2阴性、88例HER2阳性和68例三阴性病例。使用Cox比例风险模型和log-rank检验评估所有患者及各亚型中临床病理因素、SUVmax、TILs、NLR、无复发生存期(RFS)和总生存期之间的关系。还进行了将患者分为低TIL组和高TIL组的亚组分析。
高 SUVmax 与高 TILs 显著相关(p < 0.0001)。在低 TIL(TILs1)组中,高 SUVmax(3.585)患者的 RFS 显著短于低 SUVmax(<3.585)患者(p < 0.0001)。在高 TIL(TILs2,3)组中,高 SUVmax 患者的 RFS 短于低 SUVmax 患者,但差异无统计学意义(p = 0.35)。对 502 例患者的多因素分析显示,高 SUVmax、高 T 分期和淋巴结转移是 RFS 的独立阴性预测因素。在 317 例 TILs 低患者中,高 SUVmax、高 T 分期、淋巴结转移和 ER 阳性是 RFS 的独立预测因素。在 185 例 TILs 高患者中,淋巴结转移是 RFS 的独立预测因素。在 ER 阳性/HER2 阴性和 HER2 阳性亚型中,SUVmax 是 TILs 低组而非 TILs 高组的重要预测参数。
To investigate the relationship between fluorodeoxyglucose (FDG) uptake (maximum standardised uptake value [SUVmax]) and immune markers (tumour-infiltrating lymphocytes [TILs] and neutrophil-to-lymphocyte ratio [NLR]) and evaluate the potential prognostic value of any correlations.
Data from 502 patients with breast cancer, including 346 oestrogen receptor (ER)-positive / human epidermal growth factor receptor 2 (HER2)-negative, 88 HER2-positive, and 68 triple-negative cases, who had undergone surgery were reviewed. Relationships between the clinicopathological factors, SUVmax, TILs, NLR, recurrence-free survival (RFS), and overall survival of all patients and each subtype were evaluated using a Cox proportional hazards model and log-rank test. A sub-analysis of patients divided into low and high TIL groups was also undertaken.
High SUVmax was significantly related to high TILs (p < 0.0001). In low TIL (TILs1) group, patients with high SUVmax ( 3.585) had a significantly shorter RFS than those with low SUVmax (<3.585; p < 0.0001). In high TIL (TILs2,3) group, patients with high SUVmax had a shorter RFS than those with low SUVmax without a significant difference (p = 0.35). Multivariate analysis of 502 patients showed high SUVmax, high T status, and nodal metastasis were independent negative predictors of RFS. In 317 TILs-low patients, high SUVmax, high T status, nodal metastasis, and ER-positivity were independent predictors of RFS. In 185 TILs-high patients, nodal metastasis was an independent predictor of RFS. In ER-positive/HER2-negative and HER2-positive subtypes, SUVmax was a significant predictive parameter in the TILs-low but not TILs-high groups.
FDG uptake may be predictive of immunological features and aggressive features in breast cancer patients.
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