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A Transcriptomic Liquid Biopsy Assay for Predicting Resistance to Neoadjuvant Therapy in Esophageal Squamous Cell Carcinoma.
Okuno, Keisuke; Tokunaga, Masanori; Kinugasa, Yusuke; Baba, Hideo; Kodera, Yasuhiro; Goel, Ajay.
Afiliação
  • Okuno K; Department of Molecular Diagnostics and Experimental Therapeutics, Beckman Research Institute of City of Hope, Biomedical Research Center, Monrovia, CA.
  • Tokunaga M; Department of Gastrointestinal Surgery, Tokyo Medical and Dental University, Tokyo, Japan.
  • Kinugasa Y; Department of Gastrointestinal Surgery, Tokyo Medical and Dental University, Tokyo, Japan.
  • Baba H; Department of Gastrointestinal Surgery, Tokyo Medical and Dental University, Tokyo, Japan.
  • Kodera Y; Department of Gastroenterological Surgery, Graduate School of Medical Sciences, Kumamoto University, Kumamoto, Japan.
  • Goel A; Department of Gastroenterological Surgery, Nagoya University Graduate School of Medicine, Nagoya, Japan.
Ann Surg ; 276(1): 101-110, 2022 07 01.
Article em En | MEDLINE | ID: mdl-35703443
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.
Assuntos

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Neoplasias Esofágicas / Carcinoma de Células Escamosas / MicroRNAs / Carcinoma de Células Escamosas do Esôfago Tipo de estudo: Prognostic_studies / Risk_factors_studies Limite: Humans Idioma: En Ano de publicação: 2022 Tipo de documento: Article

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Neoplasias Esofágicas / Carcinoma de Células Escamosas / MicroRNAs / Carcinoma de Células Escamosas do Esôfago Tipo de estudo: Prognostic_studies / Risk_factors_studies Limite: Humans Idioma: En Ano de publicação: 2022 Tipo de documento: Article