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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.
- Source :
-
Laboratory Medicine . Jul2023, Vol. 54 Issue 4, p411-423. 13p. - Publication Year :
- 2023
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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]
- Subjects :
- *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
Subjects
Details
- Language :
- English
- ISSN :
- 00075027
- Volume :
- 54
- Issue :
- 4
- Database :
- Academic Search Index
- Journal :
- Laboratory Medicine
- Publication Type :
- Academic Journal
- Accession number :
- 164968259
- Full Text :
- https://doi.org/10.1093/labmed/lmac125