Evidence map›Paper›PMID 41121421›Full record

ArticleBiomarker research2025

Liver-specific propanoate metabolism-derived 2-ethylhexanol as a novel biomarker for precise diagnosis and prognosis of hepatocellular carcinoma.

Dongyong Lee, Jinhee Mun, Jihyun Lee, Chan Jang, Geumjong Song, Jonghyuk Yun, Kwangseock Kim, Taewan Kim, Seob Jeon, Jinmyoung Joo

Abstract readLetter
In one paragraph

Article in Biomarker research, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the 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.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

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

10 authors.

Dongyong LeeDepartment of Biomedical Engineering, Ulsan National Institute of Science and Technology, Ulsan, 44919, Republic of Korea.
Jinhee MunDepartment of Biomedical Engineering, Ulsan National Institute of Science and Technology, Ulsan, 44919, Republic of Korea.
Jihyun LeeDepartment of Biomedical Engineering, Ulsan National Institute of Science and Technology, Ulsan, 44919, Republic of Korea.
Chan JangCenter for Research and Development, Oncocross Ltd, Seoul, 04168, Republic of Korea.
Geumjong SongDepartment of Surgery, Division of Gastrointestinal Surgery, College of Medicine, Soonchunhyang University Cheonan Hospital, Cheonan, 31151, Republic of Korea.
Jonghyuk YunDepartment of Surgery, Division of Gastrointestinal Surgery, College of Medicine, Soonchunhyang University Cheonan Hospital, Cheonan, 31151, Republic of Korea.
Kwangseock KimFuture Innovation Medical Research Center, Soonchunhyang University Cheonan Hospital, Cheonan, 31151, Republic of Korea.
Taewan KimFuture Innovation Medical Research Center, Soonchunhyang University Cheonan Hospital, Cheonan, 31151, Republic of Korea.
Seob JeonDepartment of Gynecology, College of Medicine, Soonchunhyang University Cheonan Hospital, Cheonan, 31151, Republic of Korea. sjeon4595@gmail.com.
Jinmyoung JooDepartment of Biomedical Engineering, Ulsan National Institute of Science and Technology, Ulsan, 44919, Republic of Korea. jjoo@unist.ac.kr.

Funding

Korean ARPA-H Project RS-2024-00512120Technology Innovation Program RS-2024-00400101TIPS research fund S2948352Ulsan National Institute of Science and Technology 1.240006.01
6 · The paper itself

Abstract

Alterations in propanoate metabolism are increasingly recognized as significant biomarkers for various liver disorders, notably hepatocellular carcinoma (HCC). To enhance diagnostic specificity for HCC, we conducted integrated binary omics and targeted metabolomics analyses, identifying liver-specific propanoate metabolism (LPM) gene signatures and associated metabolites. Leveraging data from 40 tissues and 81 cell subclasses, hepatocytes showed the highest metabolic specificity. Clinical validation using the TCGA-LIHC cohort highlighted LPM genes, notably ALDH2 and ABAT, as robust prognostic markers significantly associated with poor survival outcomes. Serum metabolomic profiling of 273 patients demonstrated that elevated toluene and xylene isomers and significantly reduced 2-ethylhexanol distinctly characterize HCC, distinguishing it from liver cirrhosis, hepatitis, and other cancers. These findings emphasize the potential of LPM-based metabolic profiling as a precise diagnostic and prognostic tool, with potential implications in targeted therapeutic development for HCC.

Identifiers

PMID41121421
PMCPMC12539108

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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.