Department of Urology, The Third Affiliated Hospital, Sun Yat-sen University, 510630, Guangzhou, China.
Center of Health Management, The Third Affiliated Hospital, Sun Yat-sen University, 510630, Guangzhou, China.
Br J Cancer. 2023 Mar;128(7):1320-1332. doi: 10.1038/s41416-023-02147-8. Epub 2023 Jan 26.
We aimed to develop and validate a plasma extracellular vesicle circular RNA (circRNA)-based signature that can predict overall survival (OS) in first-line abiraterone therapy for metastatic castration-resistant prostate cancer (mCRPC) patients.
In total, 582 mCRPC patients undergoing first-line abiraterone therapy from four institutions were sorted by three phases. In the discovery phase, 30 plasma samples from 30 case-matched patients with or without early progression were obtained to generate circRNA expression profiles using RNA sequencing. In the training phase, differentially expressed circRNAs were examined using digital droplet PCR in a training cohort (n = 203). The circRNA signature was constructed using a least absolute shrinkage and selection operator Cox regression to predict OS. In the validation phase, the prognostic ability of this signature was prospectively validated in two external cohorts (Cohort I, n = 183; Cohort II, n = 166).
We developed a five-circRNA signature, based on circCEP112, circFAM13A, circBRWD1, circVPS13C and circMACROD2, which successfully stratified patients into high-risk and low-risk groups. The prognostic ability of this signature was prospectively validated in two external cohorts (P < 0.0001, P < 0.0001). Patients with high-risk scores had shorter OS than patients with low-risk scores.
This five-circRNA signature is a reliable predictor of OS for mCRPC patients undergoing abiraterone.
我们旨在开发和验证一种基于血浆细胞外囊泡环状 RNA(circRNA)的标志物,以预测一线接受阿比特龙治疗的转移性去势抵抗性前列腺癌(mCRPC)患者的总生存期(OS)。
总共有 582 名在四个机构接受一线阿比特龙治疗的 mCRPC 患者分为三个阶段进行排序。在发现阶段,从 30 例病例匹配的患者中获得了 30 个血浆样本,这些患者有无早期进展,使用 RNA 测序生成 circRNA 表达谱。在训练阶段,使用数字液滴 PCR 在训练队列(n=203)中检查差异表达的 circRNAs。使用最小绝对收缩和选择算子 Cox 回归构建 circRNA 标志物,以预测 OS。在验证阶段,前瞻性地在两个外部队列(队列 I,n=183;队列 II,n=166)中验证该标志物的预后能力。
我们基于 circCEP112、circFAM13A、circBRWD1、circVPS13C 和 circMACROD2 开发了一个五 circRNA 标志物,该标志物成功地将患者分为高风险和低风险组。该标志物的预后能力在两个外部队列中得到了前瞻性验证(P<0.0001,P<0.0001)。高风险评分的患者 OS 短于低风险评分的患者。
该五 circRNA 标志物是接受阿比特龙治疗的 mCRPC 患者 OS 的可靠预测指标。