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Purpose <p>Despite decreased esophageal carcinoma incidence, its prognosis remains challenging. We aimed to develop a multimodal prognostic model to optimize treatment strategies and elucidate biological mechanisms of key regulatory genes.</p> Methods <p>Pivotal prognostic genes were screened using integrated bioinformatics and immunohistochemistry. A multimodal model combining PET/CT radiomics (metabolic tumor volume, SUV), clinicopathological parameters (lymph node metastasis, differentiation grade, infiltration depth), and molecular biomarkers was established and validated. Functional experiments and co-immunoprecipitation/transcriptomic sequencing explored biological roles and molecular networks.</p> Results <p>CASQ2 emerged as a key prognostic gene. The validated model integrated CASQ2 expression, radiomic features (MTV/SUV), and clinical staging, demonstrating high predictive accuracy. Functional assays confirmed that CASQ2 overexpression enhanced esophageal cancer cell proliferation and invasion. Mechanistically, CASQ2 activated AKT/PI3K signaling and disrupted calcium homeostasis, with protein interaction and transcriptomic analyses delineating its regulatory network.</p> Conclusion <p>We established a multimodal prognostic model incorporating molecular, radiomic, and clinical parameters, and identified CASQ2 as a critical regulator of esophageal carcinogenesis. CASQ2 likely drives tumor progression through AKT/PI3K signaling and calcium pathway dysregulation, offering dual therapeutic targets. This integrative approach advances personalized prognosis prediction and mechanistic understanding.</p>

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Construction of a multimodal esophageal cancer prognostic model with screening of key genes and investigation of their biological functions

  • 期刊论文

  • 出版模式：

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  • 发表日期：

    2025年8月15日

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  • Zhengsong Chang,
  • Yiru Li,
  • Mengyao Wang,
  • Xin Zhang,
  • Qiang Bai,
  • Huan Luo,
  • Pengyun Deng,
  • Liping Yang,
  • Xiaomei Li

摘要

Purpose

Despite decreased esophageal carcinoma incidence, its prognosis remains challenging. We aimed to develop a multimodal prognostic model to optimize treatment strategies and elucidate biological mechanisms of key regulatory genes.

Methods

Pivotal prognostic genes were screened using integrated bioinformatics and immunohistochemistry. A multimodal model combining PET/CT radiomics (metabolic tumor volume, SUV), clinicopathological parameters (lymph node metastasis, differentiation grade, infiltration depth), and molecular biomarkers was established and validated. Functional experiments and co-immunoprecipitation/transcriptomic sequencing explored biological roles and molecular networks.

Results

CASQ2 emerged as a key prognostic gene. The validated model integrated CASQ2 expression, radiomic features (MTV/SUV), and clinical staging, demonstrating high predictive accuracy. Functional assays confirmed that CASQ2 overexpression enhanced esophageal cancer cell proliferation and invasion. Mechanistically, CASQ2 activated AKT/PI3K signaling and disrupted calcium homeostasis, with protein interaction and transcriptomic analyses delineating its regulatory network.

Conclusion

We established a multimodal prognostic model incorporating molecular, radiomic, and clinical parameters, and identified CASQ2 as a critical regulator of esophageal carcinogenesis. CASQ2 likely drives tumor progression through AKT/PI3K signaling and calcium pathway dysregulation, offering dual therapeutic targets. This integrative approach advances personalized prognosis prediction and mechanistic understanding.