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基于 microRNA 的液体活检标志物用于食管鳞癌的早期检测:一项回顾性、前瞻性和多中心研究。

A microRNA-based liquid biopsy signature for the early detection of esophageal squamous cell carcinoma: a retrospective, prospective and multicenter study.

机构信息

Center for Gastrointestinal Research; Center for Translational Genomics and Oncology, Baylor Scott & White Research Institute and Charles A. Sammons Cancer Center, Baylor University Medical Center, Dallas, TX, USA.

Department of Gastroenterology and Oncology, Tokushima University Graduate School of Biomedical Sciences, Tokushima, Japan.

出版信息

Mol Cancer. 2022 Feb 11;21(1):44. doi: 10.1186/s12943-022-01507-x.

Abstract

BACKGROUND

Currently, there is no clinically relevant non-invasive biomarker for early detection of esophageal squamous cell carcinoma (ESCC). Herein, we established and evaluated a circulating microRNA (miRNA)-based signature for the early detection of ESCC using a systematic genome-wide miRNA expression profiling analysis.

METHODS

We performed miRNA candidate discovery using three ESCC tissue miRNA datasets (n = 108, 238, and 216) and the candidate miRNAs were confirmed in tissue specimens (n = 64) by qRT-PCR. Using a serum training cohort (n = 408), we conducted multivariate logistic regression analysis to develop an ESCC circulating miRNA signature and the signature was subsequently validated in two independent retrospective and two prospective cohorts.

RESULTS

We identified eighteen initial miRNA candidates from three miRNA expression datasets (n = 108, 238, and 216) and subsequently validated their expression in ESCC tissues. We thereafter confirmed the overexpression of 8 miRNAs (miR-103, miR-106b, miR-151, miR-17, miR-181a, miR-21, miR-25, and miR-93) in serum specimens. Using a serum training cohort, we developed a circulating miRNA signature (AUC:0.83 [95%CI:0.79-0.87]) and the diagnostic performance of the miRNA signature was confirmed in two independent validation cohorts (n = 126, AUC:0.80 [95%CI:0.69-0.91]; and n = 165, AUC:0.89 [95%CI:0.83-0.94]). Finally, we demonstrated the diagnostic performance of the 8-miRNA signature in two prospective cohorts (n = 185, AUC:0.92, [95%CI:0.87-0.96]); and (n = 188, AUC:0.93, [95%CI:0.88-0.97]). Importantly, the 8-miRNA signature was superior to current clinical serological markers in discriminating early stage ESCC patients from healthy controls (p < 0.001).

CONCLUSIONS

We have developed a novel and robust circulating miRNA-based signature for early detection of ESCC, which was successfully validated in multiple retrospective and prospective multinational, multicenter cohorts.

摘要

背景

目前,尚无临床相关的非侵入性生物标志物用于早期检测食管鳞状细胞癌(ESCC)。在此,我们通过系统的全基因组 miRNA 表达谱分析,建立并评估了一种基于循环 microRNA(miRNA)的 ESCC 早期检测标记物。

方法

我们使用三个 ESCC 组织 miRNA 数据集(n=108、238 和 216)进行 miRNA 候选物发现,并通过 qRT-PCR 在组织标本(n=64)中对候选 miRNA 进行了验证。我们使用血清训练队列(n=408)进行多变量逻辑回归分析,以开发 ESCC 循环 miRNA 特征,并在两个独立的回顾性队列和两个前瞻性队列中对该特征进行了验证。

结果

我们从三个 miRNA 表达数据集(n=108、238 和 216)中确定了 18 个初始 miRNA 候选物,并随后在 ESCC 组织中验证了它们的表达。随后,我们在血清标本中证实了 8 个 miRNA(miR-103、miR-106b、miR-151、miR-17、miR-181a、miR-21、miR-25 和 miR-93)的过表达。我们使用血清训练队列开发了一个循环 miRNA 特征(AUC:0.83[95%CI:0.79-0.87]),并在两个独立的验证队列(n=126,AUC:0.80[95%CI:0.69-0.91];n=165,AUC:0.89[95%CI:0.83-0.94])中确认了该 miRNA 特征的诊断性能。最后,我们在两个前瞻性队列(n=185,AUC:0.92[95%CI:0.87-0.96])和(n=188,AUC:0.93[95%CI:0.88-0.97])中证明了 8- miRNA 特征的诊断性能。重要的是,与当前的临床血清学标志物相比,该 8-miRNA 特征在区分早期 ESCC 患者与健康对照者方面具有更好的性能(p<0.001)。

结论

我们开发了一种新颖而强大的基于循环 miRNA 的 ESCC 早期检测标记物,该标记物已在多个回顾性和前瞻性的多国、多中心队列中得到成功验证。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/203e/8832722/bd5f00f43217/12943_2022_1507_Fig1_HTML.jpg

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