A liquid biopsy signature predicts lymph node metastases in T1 oesophageal squamous cell carcinoma: implications for precision treatment strategy

التفاصيل البيبلوغرافية
العنوان: A liquid biopsy signature predicts lymph node metastases in T1 oesophageal squamous cell carcinoma: implications for precision treatment strategy
المؤلفون: Liyan Xue, Zitong Zhao, Minjie Wang, Liying Ma, Hua Lin, Shaoming Wang, Xuemin Xue, Linxiu Liu, Bingzhi Wang, Zhuo Li, Zhaoyang Yang, Ning Lu, Qimin Zhan, Yongmei Song
المصدر: British Journal of Cancer. 127:2052-2059
بيانات النشر: Springer Science and Business Media LLC, 2022.
سنة النشر: 2022
مصطلحات موضوعية: MicroRNAs, Cancer Research, Esophageal Neoplasms, Oncology, Lymphatic Metastasis, Liquid Biopsy, Humans, Esophageal Squamous Cell Carcinoma
الوصف: The treatment strategies for T1 oesophageal squamous cell carcinoma (ESCC) patients with or without lymph node metastasis (LNM) are different. Given the advantages of the minimally invasive, sensitive and real-time detection, liquid biopsy has become an important cancer diagnostic and prognostic tool.MiRNA array and small-RNA sequencing were performed. Then, 222 formalin-fixed and paraffin-embedded tumour samples and 229 pretreatment serum samples from T1 ESCC patients were used to verify and evaluate the results.We demonstrated that serum miR-20b-5p could predict LNM in T1 ESCC patients. The AUC for serum miR-20b-5p was higher (0.827) than those for lymphovascular invasion (LVI) (0.751, P = 0.2128), invasion depth (0.662, P = 0.0027) and tumour differentiation grade (0.634, P = 0.0019). A nomogram for predicting LNM with three independent significant predictors (miR-20b-5p, LVI and invasion depth) was constructed with a concordance index of 0.931. Serum miR-20b-5p was also significantly correlated with disease-free survival (P 0.001). An algorithm of improved T1 ESCC treatment strategy after biopsy and/or after endoscopic resection based on serum miR-20b-5p level was constructed.This study suggests that serum miR-20b-5p is a potential biomarker for predicting LNM and can be helpful for precise clinical decision-making strategies and improve treatment outcomes for T1 ESCC patients.
تدمد: 1532-1827
0007-0920
URL الوصول: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::437c5fbdb3e4462ca9c091511109d77b
https://doi.org/10.1038/s41416-022-01997-y
حقوق: CLOSED
رقم الأكسشن: edsair.doi.dedup.....437c5fbdb3e4462ca9c091511109d77b
قاعدة البيانات: OpenAIRE