Evidence map›Paper›PMID 42739118›Full record

ReviewDiagnostics (Basel, Switzerland)2026

Non-Invasive Assessment of Microvascular Invasion Risk in Hepatocellular Carcinoma Using Liquid Biopsy: Translational Insights and Clinical Implications.

Dengyuan Xue, Xinyu Gao, Qixingmao Zhang, Hongxin Li, Mengli Chen, Xiuzhi Duan, Xuchu Wang, Pan Yu, Zhihua Tao, Xiaoxue Cheng

Abstract readReview
In one paragraph

Review in Diagnostics (Basel, Switzerland), 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing 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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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.

Dengyuan XueDepartment of Laboratory Medicine, Zhejiang University School of Medicine Second Affiliated Hospital, Hangzhou 310009, China.
Xinyu GaoDepartment of Laboratory Medicine, Zhejiang University School of Medicine Second Affiliated Hospital, Hangzhou 310009, China.
Qixingmao ZhangDepartment of Laboratory Medicine, Zhejiang University School of Medicine Second Affiliated Hospital, Hangzhou 310009, China.
Hongxin LiDepartment of Laboratory Medicine, Zhejiang University School of Medicine Second Affiliated Hospital, Hangzhou 310009, China.
Mengli ChenDepartment of Laboratory Medicine, Zhejiang University School of Medicine Second Affiliated Hospital, Hangzhou 310009, China.
Xiuzhi DuanDepartment of Laboratory Medicine, Zhejiang University School of Medicine Second Affiliated Hospital, Hangzhou 310009, China.
Xuchu WangDepartment of Laboratory Medicine, Zhejiang University School of Medicine Second Affiliated Hospital, Hangzhou 310009, China.ORCID 0000-0002-0211-2781
Pan YuDepartment of Laboratory Medicine, Zhejiang University School of Medicine Second Affiliated Hospital, Hangzhou 310009, China.
Zhihua TaoDepartment of Laboratory Medicine, Zhejiang University School of Medicine Second Affiliated Hospital, Hangzhou 310009, China.
Xiaoxue ChengDepartment of Laboratory Medicine, Zhejiang University School of Medicine Second Affiliated Hospital, Hangzhou 310009, China.ORCID 0009-0004-9778-4602

Funding

National Natural Science Foundation of China 82402707National Natural Science Foundation of China 82502827The "Pioneer" and "Leading Goose" R&D Program of Zhejiang Province No. 2023C03082Zhejiang Provincial Natural Science Foundation LMRZ26H050001
6 · The paper itself

Abstract

Microvascular invasion (MVI) is a critical prognostic indicator for recurrence and survival in hepatocellular carcinoma (HCC); however, its accurate preoperative assessment remains clinically challenging. Postoperative histopathology is subject to sampling bias and time delays, while traditional imaging techniques lack the molecular specificity required to predict MVI. Liquid biopsy, through the analysis of circulating tumor DNA (ctDNA), circulating tumor cells (CTCs), circulating tumor RNA (ctRNA), and extracellular vesicles (EVs), provides a minimally invasive approach for capturing tumor-derived molecular and cellular signals associated with vascular invasion. This narrative review comprehensively summarizes the current evidence linking these four liquid biopsy analyte categories to MVI in HCC, evaluates their integration into multi-omics predictive models, including multi-marker, clinicopathological-integrated, and imaging-integrated strategies, and proposes an evidence-level framework that categorizes blood biomarkers according to the strength of their support for MVI prediction, distinguishing direct histopathological validation from indirect associations with aggressive tumor biology. Key challenges are critically examined, including the variable specificity of individual biomarkers for MVI, the lack of head-to-head comparative studies, the absence of standardized pre-analytical and analytical protocols, and the methodological limitations of current prediction models. As a narrative review, this work does not employ systematic review methodology, and the evidence synthesis should be interpreted accordingly. The review provides a framework for understanding how liquid biopsy-based MVI risk stratification may inform surgical and perioperative decision-making following prospective validation.

Indexed as

clinical managementhepatocellular carcinomaliquid biopsymicrovascular invasionmulti-omics integrated model

Identifiers

PMID42739118
PMCPMC13564874

What Socratic holds

Textmetadata
Read underepoch 390

Registered trials

None linked

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 Socratic graph.