The relationship between the tumor microenvironment of hepatocellular carcinoma and apparent diffusion coefficient.
616 Background: The tumor microenvironment is critical for the acquisition of tumor malignancy in various cancer types. The objectives of this study were to investigate whether the levels of cancer-associated fibroblasts (CAFs) and tumor-associated macrophages (TAMs) reflect the prognosis of patients with hepatocellular carcinoma (HCC) after hepatectomy (Hx) and to determine whether the apparent diffusion coefficient (ADC) from diffusion-weighted imaging (DWI) reflects CAF and TAM expression. Methods: The study cohort comprised 109 patients who underwent initial curative resection for HCC. Alpha smooth muscle actin (αSMA) was selected as a CAF marker and CD204 as a TAM marker. Protein expression was immunohistochemically evaluated in the intratumoral regions of resected specimens. Clinicopathological factors, including the long-term prognosis after Hx, were investigated between αSMA-negative and -positive tumors and between CD204-negative and -positive tumors. The correlation between CAF/TAM marker expression and the calculated minimum ADC using DWI was also evaluated. Results: αSMA-positive expression was correlated with tumor number, invasive growth pattern, and advanced stage. CD204-positive expression was correlated with the presence of venous invasion. Both αSMA-positive expression and CD204-positive expression were significant prognostic factors in the univariate analysis of overall survival and disease-free survival. αSMA/CD204 double positivity was associated with an extremely poor prognosis after Hx and was a significant independent prognostic factor for overall survival ( p =0.02, hazard ratio: 3.27). Patients with double positivity also showed a significantly higher ADC low rate (83%). Conclusions: Expression of both CAF and TAM markers reflected a poor prognosis after Hx. Furthermore, the preoperative ADC could be a clinical surrogate marker in the tumor microenvironment in patients with HCC.
Authors
- Shinichiro Yamada (ORCID: https://orcid.org/0000-0003-3847-751X)
- Katsuki Miyazaki (ORCID: https://orcid.org/0000-0003-0065-5296)
- Yuji Morine (ORCID: https://orcid.org/0000-0002-5889-9288)
- Yu Saito (ORCID: https://orcid.org/0000-0001-6349-1669)
- Tetsuya Ikemoto (ORCID: https://orcid.org/0000-0001-9800-1359)
- Mitsuo Shimada (ORCID: https://orcid.org/0000-0003-1255-4783)
- Hiroki Teraoku (ORCID: https://orcid.org/0000-0001-5730-9808)
Institutions
- Tokushima University (JP)
Publication Details
- Journal
- Journal of Clinical Oncology
- Published
- 2025-01-27
- DOI
- https://doi.org/10.1200/jco.2025.43.4_suppl.616
- Primary Topic
- Radiomics and Machine Learning in Medical Imaging
- Type
- article
- Field-Weighted Citation Impact
- 0.00