Department of Epidemiology, Harvard T.H. Chan School of Public Health, Boston, Massachusetts.
Department of Pathology, Beth Israel Deaconess Medical Center and Harvard Medical School, Boston, Massachusetts.
Cancer Epidemiol Biomarkers Prev. 2018 Dec;27(12):1509-1517. doi: 10.1158/1055-9965.EPI-18-0346. Epub 2018 Oct 30.
Nonsteroidal anti-inflammatory drug (NSAID) use may affect ovarian cancer risk via prostaglandin synthesis and tumor-associated macrophage (TAM) infiltration. We evaluated if associations between aspirin or non-aspirin NSAID use and ovarian cancer risk differed by tumor expression of prostaglandin-related (COX1, COX2) and TAM-related (CD68, CD163) markers.
We evaluated cases and matched controls from the Nurses' Health Study (NHS), NHSII, and New England Case-Control Study (NECC). Cases with IHC data on COX1 and COX2 ( = 532) or CD68 and CD163 ( = 530) were included. We used polytomous logistic regression, adjusted for ovarian cancer risk factors, to estimate OR for NSAID use and ovarian cancer risk by marker level.
Recent aspirin use had a nonsignificant inverse association and recent non-aspirin NSAID use had no association with ovarian cancer risk. NSAID use was not differentially associated with ovarian cancer by COX1 or COX2 expression. However, recent aspirin use was associated with lower ovarian cancer risk for high [OR 0.54; 95% confidence interval (CI), 0.37-0.78], but not low (OR 1.50; 95% CI, 0.97-2.31), CD163 density ( < 0.001). Similar results were observed for aspirin duration and tablets and for recent non-aspirin NSAID use. Results were not clearly different by macrophage density defined by the less specific macrophage marker, CD68.
NSAID use was inversely associated with risk of ovarian cancer with high density CD163, a marker for M2-type, immunosuppressive macrophages. However, the relationship did not differ by prostaglandin synthesis markers.
Future research should explore prostaglandin-independent mechanisms for the association between NSAID use and ovarian cancer risk, including immune mechanisms.
非甾体抗炎药(NSAID)的使用可能通过前列腺素合成和肿瘤相关巨噬细胞(TAM)浸润来影响卵巢癌的风险。我们评估了阿司匹林或非阿司匹林 NSAID 使用与卵巢癌风险之间的关联是否因肿瘤表达与前列腺素相关(COX1、COX2)和 TAM 相关(CD68、CD163)标志物的不同而有所不同。
我们评估了来自护士健康研究(NHS)、NHSII 和新英格兰病例对照研究(NECC)的病例和匹配对照。包括 COX1 和 COX2 免疫组化数据(=532)或 CD68 和 CD163 免疫组化数据(=530)的病例。我们使用多分类逻辑回归,根据卵巢癌风险因素进行调整,来估计 NSAID 使用与卵巢癌风险的比值比(OR)与标志物水平的关系。
近期阿司匹林使用与卵巢癌风险呈负相关,但无统计学意义,近期非阿司匹林 NSAID 使用与卵巢癌风险无关。NSAID 使用与 COX1 或 COX2 表达与卵巢癌风险无差异相关。然而,近期阿司匹林使用与高 CD163 密度的卵巢癌风险较低相关[比值比(OR)0.54;95%置信区间(CI)0.37-0.78],而与低 CD163 密度无关(OR 1.50;95%CI 0.97-2.31)(<0.001)。阿司匹林持续时间和片剂以及近期非阿司匹林 NSAID 使用也观察到类似的结果。用不太特异的巨噬细胞标志物 CD68 定义的巨噬细胞密度,结果没有明显差异。
NSAID 使用与高 CD163 密度的卵巢癌风险呈负相关,CD163 是 M2 型、免疫抑制型巨噬细胞的标志物。然而,这种关系与前列腺素合成标志物无关。
未来的研究应该探索 NSAID 使用与卵巢癌风险之间的关联的前列腺素非依赖性机制,包括免疫机制。