Evidence map›Paper›PMID 41777869›Full record

ArticleJournal of hepatocellular carcinoma2026

Plasma Sphingolipid Profiling Predicts Radiosensitivity in Hepatocellular Carcinoma.

Xiang Yuan, Kai Wang, Fengxin Chen, Xiurui Ge, Chen Xie, Yang Lei, Feng Lin, Yuqin Zhang, Yiyi Li

Registry-linked trialAbstract read
In one paragraph

Article in Journal of hepatocellular carcinoma, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT06864221 (Correlation Between Plasma Sphingolipid Metabolites and the Efficacy of Radiotherapy in Hepatocellular Carcinoma), which is not on this map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

NCT06864221 recruitingnot on this map

Correlation Between Plasma Sphingolipid Metabolites and the Efficacy of Radiotherapy in Hepatocellular Carcinoma

TypeobservationalSponsorNanfang Hospital, Southern Medical UniversityRan2024 to 2026Enrolled260ConditionsHepatocellular Carcinoma, Radiotherapy, Treatment Outcome, Biomarkers
3 · Its place in the literature

Who cites it

1 citing paper in PubMed.

  1. Review
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

9 authors.

Xiang Yuan *Department of Radiation Oncology, Nanfang Hospital, Southern Medical University, Guangzhou, Guangdong, People's Republic of China.
Kai Wang *Hepatobiliopancreatic Surgery, Department of General Surgery, Nanfang Hospital, Southern Medical University, Guangzhou, Guangdong, People's Republic of China.
Fengxin ChenDepartment of Laboratory Medicine, Nanfang Hospital, Southern Medical University, Guangzhou, Guangdong, People's Republic of China.
Xiurui GeDepartment of Radiation Oncology, Nanfang Hospital, Southern Medical University, Guangzhou, Guangdong, People's Republic of China.
Chen XieHepatobiliopancreatic Surgery, Department of General Surgery, Nanfang Hospital, Southern Medical University, Guangzhou, Guangdong, People's Republic of China.
Yang LeiHepatobiliopancreatic Surgery, Department of General Surgery, Nanfang Hospital, Southern Medical University, Guangzhou, Guangdong, People's Republic of China.ORCID 0000-0001-5016-2241
Feng LinDepartment of Radiation Oncology, Nanfang Hospital, Southern Medical University, Guangzhou, Guangdong, People's Republic of China.
Yuqin ZhangDepartment of Radiation Oncology, Nanfang Hospital, Southern Medical University, Guangzhou, Guangdong, People's Republic of China.
Yiyi LiDepartment of Radiation Oncology, Nanfang Hospital, Southern Medical University, Guangzhou, Guangdong, People's Republic of China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

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.

Indexed as

biomarkerliquid chromatography-tandem mass spectrometrypredictive modelradiotherapy

Identifiers

PMID41777869
PMCPMC12950455

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Registered trials

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.