Song Jin, Sokoll Lori J, Zhang Zhen, Chan Daniel W
Center for Biomarker Discovery and Translation, Department of Pathology, Johns Hopkins University School of Medicine, Baltimore, MD, 21287, USA.
Department of Pathology, Johns Hopkins University School of Medicine, 419 North Caroline Street, Baltimore, MD, 21231, USA.
Clin Proteomics. 2023 Jun 25;20(1):25. doi: 10.1186/s12014-023-09414-z.
Close to three-quarters of ovarian cancer cases are frequently diagnosed at an advanced stage, with more than 70% of them failing to respond to primary therapy and relapsing within 5 years. There is an urgent need to identify strategies for early detection of ovarian cancer recurrence, which may lead to earlier intervention and better outcomes.
A customized magnetic bead-based 8-plex immunoassay was evaluated using a Bio-Plex 200 Suspension Array System. Target protein levels were analyzed in sera from 58 patients diagnosed with advanced ovarian cancer (including 34 primary and 24 recurrent tumors) and 46 healthy controls. The clinical performance of these biomarkers was evaluated individually and in combination for their ability to detect recurrent ovarian cancer.
An 8-plex immunoassay was evaluated with high analytical performance suitable for biomarker validation studies. Logistic regression modeling selected a two-marker panel of CA-125 and VCAM-1 that improved the performance of CA-125 alone in detecting recurrent ovarian cancer (AUC: 0.813 versus 0.700). At a fixed specificity of 83%, the two-marker panel significantly improved sensitivity in separating primary from recurrent tumors (70.8% versus 37.5%, P = 0.004), demonstrating that VCAM-1 was significantly complementary to CA-125 in detecting recurrent ovarian cancer.
A two-marker panel of CA-125 and VCAM-1 showed strong diagnostic performance and improvement over the use of CA-125 alone in detecting recurrent ovarian cancer. The experimental results warrant further clinical validation to determine their role in the early detection of recurrent ovarian cancer.
近四分之三的卵巢癌病例在晚期才被确诊,其中超过70%的患者对初始治疗无反应,并在5年内复发。迫切需要确定卵巢癌复发的早期检测策略,这可能会带来更早的干预和更好的治疗效果。
使用Bio-Plex 200悬浮阵列系统评估定制的基于磁珠的8联免疫分析方法。分析了58例晚期卵巢癌患者(包括34例原发性肿瘤和24例复发性肿瘤)以及46例健康对照者血清中的靶蛋白水平。对这些生物标志物的临床性能进行了单独评估,并结合评估了它们检测复发性卵巢癌的能力。
评估了一种具有高分析性能的8联免疫分析方法,适用于生物标志物验证研究。逻辑回归模型选择了CA-125和VCAM-1的双标志物组合,该组合在检测复发性卵巢癌方面提高了单独使用CA-125的性能(曲线下面积:0.813对0.700)。在固定特异性为83%时,双标志物组合在区分原发性肿瘤和复发性肿瘤方面显著提高了敏感性(70.8%对37.5%,P = 0.004),表明VCAM-1在检测复发性卵巢癌方面对CA-125具有显著的互补性。
CA-125和VCAM-1的双标志物组合在检测复发性卵巢癌方面显示出强大的诊断性能,且优于单独使用CA-125。实验结果值得进一步进行临床验证,以确定它们在复发性卵巢癌早期检测中的作用。