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基于转录组的液体活检预测食管鳞癌新辅助治疗耐药的研究

A Transcriptomic Liquid Biopsy Assay for Predicting Resistance to Neoadjuvant Therapy in Esophageal Squamous Cell Carcinoma.

机构信息

Department of Molecular Diagnostics and Experimental Therapeutics, Beckman Research Institute of City of Hope, Biomedical Research Center, Monrovia, CA.

Department of Gastrointestinal Surgery, Tokyo Medical and Dental University, Tokyo, Japan.

出版信息

Ann Surg. 2022 Jul 1;276(1):101-110. doi: 10.1097/SLA.0000000000005473. Epub 2022 May 12.

Abstract

OBJECTIVE

The aim of this study was to establish a liquid-biopsy assay to predict response to neoadjuvant therapy (NAT) in esophageal squamous cell carcinoma (ESCC) patients.

SUMMARY BACKGROUND DATA

Pretreatment prediction of resistance to NAT is of great significance for the selection of treatment options in ESCC patients. In this study, we comprehensively translated tissue-based microRNA (miRNA) and messenger RNA (mRNA) expression biomarkers into a liquid biopsy assay.

METHODS

We analyzed 186 clinical ESCC samples, which included 128 formalin-fixed paraffin-embedded and a matched subset of 58 serum samples, from 2 independent institutions. We performed quantitative reverse-transcription polymerase chain reaction, and developed a resistance-prediction model using the logistic regression analyses.

RESULTS

We first evaluated the potential of 4-miRNAs and 3-mRNAs panel, which robustly predicted resistance to NAT [area under the curve (AUC): 0.85]. Moreover, addition of tumor size to this panel increased predictive potential to establish a combination signature (AUC: 0.92). We successfully validated this signature performance in independent cohort, and our model was more accurate when the signature was combined with clinical predictors (AUC: 0.81) to establish a NAT resistance risk (NATRR) model. Finally, we successfully translated our NATRR model into a liquid biopsy assay (AUC: 0.78), and a multivariate regression analysis revealed this model as an independent predictor for response to NAT (odds ratio: 6.10; P < 0.01).

CONCLUSIONS

We successfully developed a liquid biopsy-based assay that allows robust prediction of response to NAT in ESCC patients, and our assay provides fundamentals of developing precision-medicine.

摘要

目的

本研究旨在建立一种液体活检检测方法,以预测食管鳞癌(ESCC)患者对新辅助治疗(NAT)的反应。

背景资料概要

预测 NAT 耐药性对于 ESCC 患者治疗方案的选择具有重要意义。在本研究中,我们将基于组织的 microRNA(miRNA)和信使 RNA(mRNA)表达生物标志物进行综合转化,应用于液体活检检测。

方法

我们分析了来自 2 个独立机构的 186 例临床 ESCC 样本,包括 128 例福尔马林固定石蜡包埋组织样本和 58 例配对的血清样本。我们进行了定量逆转录聚合酶链反应,并使用逻辑回归分析开发了耐药性预测模型。

结果

我们首先评估了 4 个 miRNA 和 3 个 mRNA 组合面板的潜力,该面板可准确预测对 NAT 的耐药性(曲线下面积 [AUC]:0.85)。此外,将肿瘤大小添加到该面板中可提高建立组合特征的预测潜力(AUC:0.92)。我们在独立队列中成功验证了该特征的性能,当将该特征与临床预测因素相结合时,我们的模型更为准确(AUC:0.81),并建立了 NAT 耐药风险(NATRR)模型。最后,我们成功地将我们的 NATRR 模型转化为液体活检检测方法(AUC:0.78),多元回归分析显示该模型是预测对 NAT 反应的独立预测因子(优势比:6.10;P < 0.01)。

结论

我们成功开发了一种基于液体活检的检测方法,可准确预测 ESCC 患者对 NAT 的反应,该检测方法为开发精准医学提供了基础。

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