School of Biomedical Engineering, Shanghai Jiao Tong University, Shanghai, 200030, China.
Affiliated Women's Hospital of Jiangnan University, Jiangnan University, Wuxi, 214002, China.
Talanta. 2024 Dec 1;280:126782. doi: 10.1016/j.talanta.2024.126782. Epub 2024 Aug 28.
Ovarian cancer (OC) is one of the three major gynecologic malignancies and has the highest mortality rate because of the late diagnosis. Liquid biopsy based on serum protein biomarkers has demonstrated great potential for early diagnosis but remains limited by the analysis performance of conventional immunoassay technologies, such as chemiluminescence, and biomarkers, such as CA125. To address this challenge and achieve accurate early-stage diagnosis of OC, we developed a digital immunoassay on a SlipChip (DiSC) for quantitative analysis of a potential serum protein biomarker, Spondin-1 (SPON1). The DiSC system achieved a limit of detection (LoD) of 23 fg/μL for digital quantification of SPON1. The DiSC system was utilized to quantify the serum level of SPON1 in 357 clinical serum samples, including 63 from patients with benign ovarian tumors and 294 from patients with malignant ovarian cancer, ranging from stages I to IV. SPON1 concentrations were significantly different in samples from patients with malignant ovarian cancer. Notably, significantly different SPON1 levels were observed in early stages (I and II), in lymph node-negative cases (N), and before metastasis (M), suggesting that SPON1 could serve as a sensitive diagnostic biomarker for early-stage OC. The differential diagnostic model based on SPON1 levels quantified using DiSC demonstrated an area under the curve (AUC) of 0.8187 for early-stage OC, a significant improvement over CA-125 (AUC = 0.6967). For OC of all stages, the AUC was 0.8225, which could be further increased to 0.8750 when combined with CA-125. This showcases the potential of SPON1 as a novel biomarker for sensitive early-stage diagnosis of ovarian cancer and the capability of the DiSC system in discovering low-abundance biomarkers for disease diagnosis.
卵巢癌(OC)是三大妇科恶性肿瘤之一,由于诊断较晚,死亡率最高。基于血清蛋白生物标志物的液体活检已显示出早期诊断的巨大潜力,但仍受到传统免疫分析技术(如化学发光)和生物标志物(如 CA125)的分析性能限制。为了应对这一挑战并实现 OC 的准确早期诊断,我们开发了一种基于 SlipChip(DiSC)的数字免疫分析技术,用于定量分析一种潜在的血清蛋白标志物 Spondin-1(SPON1)。DiSC 系统实现了对 SPON1 进行数字定量的检测限(LoD)为 23 fg/μL。该 DiSC 系统用于分析 357 份临床血清样本中的 SPON1 血清水平,其中包括 63 份来自良性卵巢肿瘤患者和 294 份来自恶性卵巢癌患者的样本,涵盖了 I 期至 IV 期。SPON1 浓度在恶性卵巢癌患者的样本中差异显著。值得注意的是,在早期(I 和 II 期)、淋巴结阴性(N)和转移前(M)阶段观察到明显不同的 SPON1 水平,表明 SPON1 可以作为早期 OC 的敏感诊断生物标志物。基于 DiSC 定量的 SPON1 水平的差异诊断模型对早期 OC 的曲线下面积(AUC)为 0.8187,显著优于 CA-125(AUC=0.6967)。对于所有阶段的 OC,AUC 为 0.8225,当与 CA-125 结合使用时,AUC 可进一步提高到 0.8750。这展示了 SPON1 作为一种新型生物标志物用于卵巢癌敏感早期诊断的潜力,以及 DiSC 系统在发现用于疾病诊断的低丰度生物标志物方面的能力。