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术前血清白细胞介素-6 诊断高级别浆液性卵巢癌。

Pre-operative sera interleukin-6 in the diagnosis of high-grade serous ovarian cancer.

机构信息

Department of Immunology & Pathology, Monash University, Central Clinical School, Level 6, 89, Commercial Road, Melbourne, 3181, VIC, Australia.

Gynae-oncology Unit, Royal Women's Hospital, 20 Flemington Road, Parkville, Melbourne, Victoria, 3052, Australia.

出版信息

Sci Rep. 2020 Feb 10;10(1):2213. doi: 10.1038/s41598-020-59009-z.

Abstract

Pre-operative discrimination of malignant masses is crucial for accurate diagnosis and prompt referral to a gynae oncology centre for optimal surgical intervention. HGSOC progression is correlated with local and systemic inflammation. We hypothesised that inclusion of inflammatory biomarkers in sera may improve diagnostic tests. In the training cohort, we tested four existing clinical tests (RMI score and ROMA, CA125 and HE4) and a panel of 28 immune soluble biomarkers in sera from 66 patients undergoing surgery for suspected ovarian cancer. Six promising immune biomarkers alone, or in combination with conventional tests, were subsequently analysed in an independent validation cohort (n = 69). IL-6 was identified as the main driver of variability followed closely by conventional diagnostic tests. Median sera IL-6 was higher in HGSOC patients compared to those with a benign mass or controls with normal ovaries (28.3 vs 7.3 vs 1.2 pg/ml, p < 0.0001). The combination of IL-6 further improved the overall predictive probability of the conventional tests. Modelling a two-step triage of women with a suspicious ovarian mass, with IL-6 > 3.75 pg/ml as primary triage followed by conventional tests (CA125 or RMI score) identified ovarian cancer in patients with a misclassification rate of 4.54-3.03%, superior to the use of CA125 or RMI alone (9.09 to 10.60). The validation cohort demonstrated a similar improvement in the diagnostic sensitivity following addition of IL-6. IL-6 in combination with conventional tests may be a useful clinical biomarker for triage of patients with a suspected malignant ovarian mass.

摘要

术前恶性肿块的鉴别对于准确诊断和及时转至妇科肿瘤中心进行最佳手术干预至关重要。HGSOC 的进展与局部和全身炎症有关。我们假设在血清中纳入炎症生物标志物可能会改善诊断测试。在训练队列中,我们测试了 66 名疑似卵巢癌患者手术前血清中的四项现有临床测试(RMI 评分和 ROMA、CA125 和 HE4)和一组 28 种免疫可溶性生物标志物。随后,在一个独立的验证队列(n=69)中分析了六个有前途的免疫生物标志物单独或与常规测试联合使用。IL-6 被确定为变异的主要驱动因素,紧随其后的是常规诊断测试。与良性肿块或正常卵巢的对照组相比,HGSOC 患者的血清 IL-6 中位数更高(28.3 比 7.3 比 1.2 pg/ml,p<0.0001)。IL-6 的组合进一步提高了常规测试的整体预测概率。对可疑卵巢肿块的女性进行两步分诊建模,以 IL-6>3.75pg/ml 作为主要分诊,然后进行常规测试(CA125 或 RMI 评分),可将误诊率为 4.54-3.03%的卵巢癌患者识别出来,优于单独使用 CA125 或 RMI(9.09 至 10.60)。验证队列表明,添加 IL-6 后,诊断敏感性也有类似的提高。IL-6 与常规测试相结合可能是疑似恶性卵巢肿块患者分诊的有用临床生物标志物。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/43fc/7010756/c9f7a555efe6/41598_2020_59009_Fig1_HTML.jpg

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