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Early Diagnostic Markers for Esophageal Squamous Cell Carcinoma: Copy Number Alteration Gene Identification and cfDNA Detection.
Chen, Jiamin; Liu, Xi; Zhang, Zhihua; Su, Ruibing; Geng, Yiqun; Guo, Yi; Zhang, Yimin; Su, Min.
Afiliação
  • Chen J; Department of Pathology, Institute of Clinical Pathology, Shantou University Medical College, Shantou, China.
  • Liu X; Department of Pathology, Institute of Clinical Pathology, Shantou University Medical College, Shantou, China.
  • Zhang Z; Department of Pathology, Institute of Clinical Pathology, Shantou University Medical College, Shantou, China.
  • Su R; Department of Pathology, Institute of Clinical Pathology, Shantou University Medical College, Shantou, China; Department of Cardiology, The Second Affiliated Hospital of Shantou University Medical College, Shantou, China.
  • Geng Y; Department of Molecular Pathology, Shantou University Medical College, Shantou, China.
  • Guo Y; Department of Endoscopy, Cancer Hospital of Shantou University Medical College, Shantou, China.
  • Zhang Y; Clinical Research Center, Shantou Central Hospital, Shantou, China.
  • Su M; Department of Pathology, Institute of Clinical Pathology, Shantou University Medical College, Shantou, China. Electronic address: minsu@stu.edu.cn.
Lab Invest ; 104(10): 102127, 2024 Aug 23.
Article em En | MEDLINE | ID: mdl-39182610
ABSTRACT
The high mortality rate of esophageal squamous cell carcinoma (ESCC) is exacerbated by the absence of early diagnostic markers. The pronounced heterogeneity of mutations in ESCC renders copy number alterations (CNAs) more prevalent among patients. The identification of CNA genes within esophageal squamous dysplasia (ESD), a precancerous stage of ESCC, is crucial for advancing early detection efforts. Utilization of liquid biopsies via droplet-based digital PCR (ddPCR) offers a novel strategy for detecting incipient tumor traces. This study undertook a thorough investigation of CNA profiles across ESCC development stages, integrating data from existing databases and prior investigations to pinpoint and confirm CNA markers conducive to early detection of ESCC. Targeted sequencing was employed to select potential early detection genes, followed by the establishment of prediction models for ESCC early detection using ddPCR. Our analysis revealed widespread CNAs during the ESD stage, mirroring the CNA landscape observed in ESCC. A total of 40 CNA genes were identified as highly frequent in both ESCC and ESD lesions, through a comprehensive gene-level CNA analysis encompassing ESD and ESCC tissues, ESCC cell lines, and pan-cancer data sets. Subsequent validation of 5 candidate markers via ddPCR underscored the efficacy of combined predictive models encompassing PIK3CA, SOX2, EGFR, MYC, and CCND1 in early ESCC screening, as evidenced by the area-under-the-curve values exceeding 0.92 (P < .0001) across various detection contexts. The findings highlighted the significant utility of CNA genes in the early screening of ESCC, presenting robust models that could facilitate early detection, broad-scale population screening, and adjunctive diagnosis.
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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Idioma: En Ano de publicação: 2024 Tipo de documento: Article

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Idioma: En Ano de publicação: 2024 Tipo de documento: Article