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Updated: Jul 12, 2026

Therapy Testing in a Spheroid-based 3D Cell Culture Model for Head and Neck Squamous Cell Carcinoma
Published on: April 20, 2018
Plasma Sphingolipid Profiling Predicts Radiosensitivity in Hepatocellular Carcinoma
Xiang Yuan1, Kai Wang2, Fengxin Chen3
1Department of Radiation Oncology, Nanfang Hospital, Southern Medical University, Guangzhou, Guangdong, People's Republic of China.
Purpose:
Radiotherapy constitutes a cornerstone in the management of hepatocellular carcinoma (HCC), but its efficacy is limited by radioresistance. Sphingolipids, a class of bioactive lipids, have been implicated in the metabolic reprogramming associated with treatment resistance. However, the potential of circulating sphingolipids as non-invasive biomarkers to predict radiosensitivity in HCC patients remains unexplored.
Patients And Methods:
This prospective study enrolled 61 HCC patients scheduled for radiotherapy (NCT06864221). Pre-treatment plasma samples were analyzed via LC-MS/MS to quantify 13 sphingolipid species. The primary endpoint was objective response rate (ORR) per mRECIST at 12 weeks. Predictive models were developed using multivariate logistic regression with forward selection and LASSO, evaluated by AUC with bootstrap validation, calibration, and decision curve analysis. Longitudinal analysis was performed in a sub-cohort (n=25) with paired pre- and post-radiotherapy plasma samples.
Results:
The objective response rate was 54.1%. Univariable analysis identified a distinct sphingolipid signature in responders, characterized by significantly lower S1P and higher levels of CER(d18:1/20:0) and CER(d18:1/24:1). These candidate biomarkers, along with significant clinical variables, were entered into multivariate modeling. The optimal integrated model (Model 1), selected via forward selection, comprised S1P, CER(d18:1/20:0), and the clinical factors ALP and TBIL, and excelled at predicting response (bootstrap-corrected AUC=0.930). A second model based on ceramide/S1P balance (CER(d18:1/26:1)/S1P, Total CER(d18:1)/S1P, AFP) also performed robustly (bootstrap-corrected AUC=0.828). Both models showed clinical utility per decision curve analysis. Longitudinal analysis revealed a coordinated metabolic shift in responders, with reduced S1P and elevated CER(d18:1/26:0), supporting a radiation-induced "sphingolipid rheostat" shift toward apoptosis.
Conclusion:
This exploratory study provides the first clinical evidence that the baseline plasma sphingolipid profile is a potent, non-invasive predictor of HCC radiosensitivity, validating the "sphingolipid rheostat" theory. Our findings establish a framework for sphingolipid-guided precision radiotherapy and lay the necessary groundwork for future large-scale, multi-center validation trials, which hold significant potential to refine patient stratification and advance the development of novel metabolism-targeted interventions.

