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Development and Validation of an Esophageal Squamous Cell Carcinoma Detection Model by Large-Scale MicroRNA Profiling
Author(s) -
Kazuki Sudo,
Ken Kato,
Juntaro Matsuzaki,
Narikazu Boku,
Seiichiro Abe,
Yutaka Saito,
Hiroyuki Daiko,
Satoko Takizawa,
Yoshiaki Aoki,
Hiromi Sakamoto,
Shumpei Niida,
Fumitaka Takeshita,
Takahiro Fukuda,
Takahiro Ochiya
Publication year - 2019
Publication title -
jama network open
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 3.278
H-Index - 39
ISSN - 2574-3805
DOI - 10.1001/jamanetworkopen.2019.4573
Subject(s) - medicine , esophageal cancer , stage (stratigraphy) , oncology , cancer , receiver operating characteristic , biobank , microrna , population , bioinformatics , paleontology , biology , biochemistry , chemistry , environmental health , gene
Key Points Question Can circulating microRNAs be used as biomarkers to detect esophageal squamous cell carcinoma? Findings In this case-control study of 566 patients with esophageal squamous cell carcinoma and 4965 control patients without cancer, serum samples from patients with esophageal squamous cell carcinoma and control patients were used to establish a model to detect esophageal squamous cell carcinoma using 6 microRNAs in a training set. In the validation set, the model distinguished patients with cancer from control patients with high sensitivity and high specificity (0.96 and 0.98, respectively). Meaning The 6-microRNA model is a promising noninvasive screening tool in esophageal squamous cell carcinoma.

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