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

被引:9
|
作者
Okuno, Keisuke [1 ,2 ]
Tokunaga, Masanori [2 ]
Kinugasa, Yusuke [2 ]
Baba, Hideo [3 ]
Kodera, Yasuhiro [4 ]
Goel, Ajay [1 ,5 ]
机构
[1] City Hope Natl Med Ctr, Biomed Res Ctr, Beckman Res Inst, Dept Mol Diagnost & Expt Therapeut, Monrovia, CA 91016 USA
[2] Tokyo Med & Dent Univ, Dept Gastrointestinal Surg, Tokyo, Japan
[3] Kumamoto Univ, Grad Sch Med Sci, Dept Gastroenterol Surg, Kumamoto, Japan
[4] Nagoya Univ, Grad Sch Med, Dept Gastroenterol Surg, Nagoya, Aichi, Japan
[5] City Hope Natl Med Ctr, Comprehens Canc Ctr, Duane, CA 91010 USA
基金
美国国家卫生研究院;
关键词
esophageal squamous cell carcinoma; neoadjuvant therapy; predictive biomarker; biomarker signature; chemo-resistance; RESPONSE EVALUATION CRITERIA; PATHOLOGICAL RESPONSE; RESECTABLE ESOPHAGEAL; EXPRESSION ANALYSIS; SOLID TUMORS; CHEMOTHERAPY; CANCER; CHEMORADIOTHERAPY; ADENOCARCINOMA; SURVIVAL;
D O I
10.1097/SLA.0000000000005473
中图分类号
R61 [外科手术学];
学科分类号
摘要
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.
引用
收藏
页码:101 / 110
页数:10
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