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抑郁症终生史与卵巢肿瘤免疫微环境的关系。

The relationship of lifetime history of depression on the ovarian tumor immune microenvironment.

机构信息

Department of Cancer Epidemiology, Moffitt Cancer Center, Tampa, FL, USA.

Department of Immunology, Duke University School of Medicine, Durham, NC, USA.

出版信息

Brain Behav Immun. 2023 Nov;114:52-60. doi: 10.1016/j.bbi.2023.08.006. Epub 2023 Aug 7.

DOI:10.1016/j.bbi.2023.08.006
PMID:37557966
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC10592154/
Abstract

BACKGROUND

Depression is associated with a higher ovarian cancer risk. Prior work suggests that depression can lead to systemic immune suppression, which could potentially alter the anti-tumor immune response.

METHODS

We evaluated the association of pre-diagnosis depression with features of the anti-tumor immune response, including T and B cells and immunoglobulins, among women with ovarian tumor tissue collected in three studies, the Nurses' Health Study (NHS; n = 237), NHSII (n = 137) and New England Case-Control Study (NECC; n = 215). Women reporting depressive symptoms above a clinically relevant cut-point, antidepressant use, or physician diagnosis of depression at any time prior to diagnosis of ovarian cancer were considered to have pre-diagnosis depression. Multiplex immunofluorescence was performed on tumor tissue microarrays to measure immune cell infiltration. In pooled analyses, we estimated odds ratios (OR) and 95% confidence intervals (CI) for the positivity of tumor immune cells using a beta-binomial model comparing those with and without depression. We used Bonferroni corrections to adjust for multiple comparisons.

RESULTS

We observed no statistically significant association between depression status and any immune markers at the Bonferroni corrected p-value of 0.0045; however, several immune markers were significant at a nominal p-value of 0.05. Specifically, there were increased odds of having recently activated cytotoxic (CD3CD8CD69) and exhausted-like T cells (CD3Lag3) in tumors of women with vs. without depression (OR = 1.36, 95 %CI = 1.09-1.69 and OR = 1.24, 95 %CI = 1.01-1.53, respectively). Associations were comparable when considering high grade serous tumors only (comparable ORs = 1.33, 95 %CI = 1.05-1.69 and OR = 1.25, 95 %CI = 0.99-1.58, respectively). There were decreased odds of having tumor infiltrating plasma cells (CD138) in women with vs. without depression (OR = 0.54, 95 %CI = 0.33-0.90), which was similar among high grade serous carcinomas, although not statistically significant. Depression was also related to decreased odds of having naïve and memory B cells (CD20: OR = 0.54, 95 %CI = 0.30-0.98) and increased odds of IgG (OR = 1.22, 95 %CI = 0.97-1.53) in high grade serous carcinomas.

CONCLUSION

Our results provide suggestive evidence that depression may influence ovarian cancer outcomes through changes in the tumor immune microenvironment, including increasing T cell activation and exhaustion and reducing antibody-producing B cells. Further studies with clinical measures of depression and larger samples are needed to confirm these results.

摘要

背景

抑郁症与卵巢癌风险升高相关。先前的研究表明,抑郁症可能导致全身免疫抑制,从而可能改变抗肿瘤免疫反应。

方法

我们评估了在三项研究中,卵巢肿瘤组织中存在的与预诊断抑郁症相关的抗肿瘤免疫反应特征,包括 T 细胞和 B 细胞及免疫球蛋白,这些研究包括护士健康研究(NHS;n=237)、NHS II(n=137)和新英格兰病例对照研究(NECC;n=215)。在卵巢癌诊断前的任何时间报告有临床相关截定点以上的抑郁症状、使用抗抑郁药或医生诊断为抑郁症的女性被认为患有预诊断抑郁症。使用多聚免疫荧光法在肿瘤组织微阵列上测量免疫细胞浸润。在汇总分析中,我们使用 beta-binomial 模型比较了患有和不患有抑郁症的患者的肿瘤免疫细胞阳性的比值比(OR)和 95%置信区间(CI)。我们使用 Bonferroni 校正来调整多个比较的 p 值。

结果

我们观察到在 Bonferroni 校正的 p 值为 0.0045 时,抑郁症状态与任何免疫标志物之间没有统计学显著关联;然而,在名义 p 值为 0.05 时,有几个免疫标志物具有统计学意义。具体来说,与没有抑郁症的女性相比,患有抑郁症的女性肿瘤中最近激活的细胞毒性(CD3CD8CD69)和耗竭样 T 细胞(CD3Lag3)的可能性更高(OR=1.36,95%CI=1.09-1.69 和 OR=1.24,95%CI=1.01-1.53)。当仅考虑高级别浆液性肿瘤时,相关性是可比的(可比 OR=1.33,95%CI=1.05-1.69 和 OR=1.25,95%CI=0.99-1.58)。与没有抑郁症的女性相比,患有抑郁症的女性肿瘤中浸润性浆细胞(CD138)的可能性较低(OR=0.54,95%CI=0.33-0.90),这在高级别浆液性癌中也相似,尽管没有统计学意义。抑郁症还与高级别浆液性癌中幼稚和记忆 B 细胞(CD20:OR=0.54,95%CI=0.30-0.98)的可能性降低和 IgG 的可能性增加(OR=1.22,95%CI=0.97-1.53)相关。

结论

我们的结果提供了有提示性的证据,表明抑郁症可能通过改变肿瘤免疫微环境,包括增加 T 细胞激活和耗竭以及减少产生抗体的 B 细胞,影响卵巢癌的结局。需要进一步的研究,以临床测量抑郁症和更大的样本量来证实这些结果。