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. 2025 Sep;32(9):6283-6294.
doi: 10.1245/s10434-025-17528-x. Epub 2025 Jun 5.

MicroRNA based Prediction of Posthepatectomy Liver Failure and Mortality Outperforms Established Markers of Preoperative Risk Assessment

Affiliations

MicroRNA based Prediction of Posthepatectomy Liver Failure and Mortality Outperforms Established Markers of Preoperative Risk Assessment

Anna Emilia Kern et al. Ann Surg Oncol. 2025 Sep.

Abstract

Background: Posthepatectomy liver failure (PHLF) continues to be the most significant factor-determining outcome after hepatic resection, accounting for nearly half of postoperative mortality. In this study, we evaluated whether a newly developed commercially available test measuring circulating microRNAs (miRs) could predict PHLF and compared it with other established liver function tests.

Patients and methods: A total of 329 patients undergoing liver resection were included and postoperative outcome was assessed. Our previously described P-score, calculated on the basis of three circulating microRNAs (miR-122-5p, miR-192-5p, miR-151a-5p) using the hepatomiR® CE-IVD test, was evaluated and compared with other predictors of PHLF, namely indocyanine green (ICG)-clearance as well as the combined aspartate aminotransferase (AST)-to-platelet ratio index (APRI) and albumin-bilirubin grade (ALBI) score.

Results: Compared with both other liver function tests, P-scores were superior in predicting PHLF and PHLF grades B and C (PHLF B + C) (PHLF B + C: hepatomiR® AUC = 0.835, APRI + ALBI AUC = 0.807; retention rate at 15 min (R15) AUC = 0.690; plasma disappearance rate (PDR) AUC = 0.691). We also documented a superior positive (77%) and negative predictive value (> 90%) for PHLF, along with a close association with postoperative overall survival. A health-economic analysis demonstrated the cost-effectiveness of hepatomiR® in terms of life-years gained due to improved patient risk stratification.

Conclusions: The hepatomiR® P-score outperforms established liver function tests utilized in daily clinical practice for predicting PHLF and identifies patients possibly better served with alternative treatments. A health-economic assessment allowed us to demonstrate that optimized preoperative risk-assessment leads to a cost-effective improvement in patient outcomes.

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Conflict of interest statement

Disclosure: Patrick Starlinger was involved in the development of hepatomiR®, the testing system discussed in this article and is a consultant for TAmiRNA GmbH, the company that developed hepatomiR®. Alice Assinger was involved in the development of hepatomiR®. Matthias Hackl is employed by and owns stock in TAmiRNA GmbH. Susanna Skalicky is employed by TAmiRNA GmbH.

Figures

Fig. 1
Fig. 1
HepatomiR® in the whole cohort and in comparison with other liver function tests: differences of P-scores among patients without and with PHLF, ROC curves comparing the predictive potential of hepatomiR® for PHLF grades A–C and PHLF grade B + C (A); differences of APRI + ALBI and ICG-clearance (PDR and R15) in patients without and with PHLF (B); ROC curves comparing the predictive potential of hepatomiR®, APRI + ALBI, and ICG-clearance (C); APRI+ALBI aspartate aminotransferase-to-platelet ratio index and albumin-bilirubin grade, AUC area under the curve, ICG indocyanine green, PHLF posthepatectomy liver failure, PHLF B+C PHLF grades B and C, ROC receiver operating characteristics; * p < 0.05, ** p < 0.01, *** p < 0.0001
Fig. 2
Fig. 2
Risk groups of hepatomiR® and other liver function tests compared: crosstabs illustrating the event of PHLF across different risk groups of hepatomiR® and ICG-clearance (A)* and APRI + ALBI (B) cut-offs; * total number of patients who received ICG-clearance testing is included; N number, APRI+ALBI aspartate aminotransferase-to-platelet ratio index and albumin-bilirubin grade, PHLF posthepatectomy liver failure
Fig. 3
Fig. 3
HepatomiR® in tumor subgroups and overall survival: differences in hepatomiR® without and with PHLF in the respective tumor subgroups, ROC curve analyses of different tumor subgroups (A), other* benign liver disease, and other malignancies; bar graphs depicting differences between low- and high-risk groups for the outcome parameters PHLF and overall survival (OS) up to 5 years across the low-risk cut-off P > 0.59 and the high-risk cut-off P > 0.68, the incidence of events in % is given on the y-axis (B); AUC area under the curve, CCa cholangiocellular carcinoma, HCC hepatocellular carcinoma, mCRC metastasized colorectal cancer, OS overall survival, PHLF posthepatectomy liver failure, 90 DM 90-day mortality; * p < 0.05, ** p < 0.01, *** p < 0.0001
Fig. 4
Fig. 4
Overall survival differences between hepatomiR® risk groups: Kaplan–Meier survival plots illustrating the difference in overall survival (OS) among both cut-offs, P > 0.59 and P > 0.68 (A), in the tumor subgroup HCC (B) and mCRC (C); the cumulative survival is plotted on the y-axis, the survival in months is plotted on the x-axis; a log-rank test was utilized to assess statistical differences; HCC hepatocellular carcinoma, mCRC metastasized colorectal cancer, No. number

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