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.
| Autor: | Zhao, Xiang, Zhu, Xiaocun, Wang, Luoshai, Chen, Yurao, Chen, Ronghuai, Zheng, Zemao, Yang, Hengjin, Xia, Wan, Yao, Juan, Zhao, Kun |
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| Předmět: |
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 |
| Zdroj: | Laboratory Medicine; Jul2023, Vol. 54 Issue 4, p411-423, 13p |
| Abstrakt: | 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] |
| Databáze: | Complementary Index |
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