1. Identification of Tumor Suppressor Gene LHPP-Based 5-microRNA Signature That Predicts the Early- and Midstage Esophageal Squamous Cell Carcinoma: A Two-Stage Case-Control Study in the Chinese Han Population.
- Author
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Zhao, Xiang, Zhu, Xiaocun, Wang, Luoshai, Chen, Yurao, Chen, Ronghuai, Zheng, Zemao, Yang, Hengjin, Xia, Wan, Yao, Juan, and Zhao, Kun
- Subjects
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DIAGNOSIS of esophageal cancer , *REVERSE transcriptase polymerase chain reaction , *STATISTICS , *SEQUENCE analysis , *STAINS & staining (Microscopy) , *CELL culture , *GENETIC mutation , *IMMUNOHISTOCHEMISTRY , *MICRORNA , *PHOSPHATASES , *EARLY detection of cancer , *CASE-control method , *RETROSPECTIVE studies , *COMPARATIVE studies , *BIOINFORMATICS , *T-test (Statistics) , *TUMOR suppressor genes , *DESCRIPTIVE statistics , *GENE expression profiling , *GENOMES , *CHI-squared test , *RESEARCH funding , *TUMOR markers , *SENSITIVITY & specificity (Statistics) , *DATA analysis software , *DATA analysis , *RECEIVER operating characteristic curves , *CELL lines , *SQUAMOUS cell carcinoma - Abstract
Objective To establish a novel approach for diagnosing early- and midstage esophageal squamous cell carcinoma (ESCC). Methods The tumor suppressor gene phospholysine phosphohistidine inorganic pyrophosphate phosphatase (LHPP)–based miRNA signature was identified using next-generation sequencing and 3 biological online prediction systems. This retrospective study established and validated an ESCC prediction model using a test cohort and a validation cohort. Results Immunohistochemical staining and real-time quantitative polymerase chain reaction (RT-qPCR) results showed that LHPP protein levels were significantly lower in tissues with early- and midstage ESCC than in adjacent tissues (P <.01). Further, we confirmed that miR-15b-5p, miR-424-5p, miR-497-5p, miR-363-5p, and miR-195-5p inhibited LHPP. These 5 miRNAs were significantly elevated in the plasma of early- and midstage ESCC (P <.05). An ESCC prediction model combining these 5 miRNAs was established. Finally, in the external validation cohort, the model exhibited high discriminative value (sensitivity/specificity: 84.4%/93.3%). Conclusions The prediction model has potential implications for diagnosis of early- and midstage ESCC. [ABSTRACT FROM AUTHOR]
- Published
- 2023
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