Evidence map›Paper›PMID 42697859›Full record

ReviewBioFactors (Oxford, England)

Multi-Omics Biomarker Signatures for Precision Diagnosis and Prognosis in Primary Liver Cancer: A Literature Review.

Ke Xu, Yu Liu, Yuan Peng, Yanli Zeng, Zhibin Luo

Abstract readReview
In one paragraph

Review in BioFactors (Oxford, England). 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

5 authors.

Ke XuDepartment of Oncology, Chongqing General Hospital, Chongqing University, Chongqing, China.ORCID https://orcid.org/0000-0002-5465-3301
Yu LiuDepartment of Oncology, Chongqing General Hospital, Chongqing University, Chongqing, China.
Yuan PengDepartment of Oncology, Chongqing General Hospital, Chongqing University, Chongqing, China.ORCID https://orcid.org/0009-0003-4347-9875
Yanli ZengDepartment of Oncology, Chongqing General Hospital, Chongqing University, Chongqing, China.
Zhibin LuoDepartment of Oncology, Chongqing General Hospital, Chongqing University, Chongqing, China.

Funding

Science and Technology Research Program of Chongqing Municipal Education Commission KJQN202400116
6 · The paper itself

Abstract

Primary liver cancer (PLC) is a biologically heterogeneous group of malignancies dominated by hepatocellular carcinoma (HCC), intrahepatic cholangiocarcinoma (iCCA), and a smaller subset of combined hepatocellular-cholangiocarcinoma (cHCC-CCA), and its clinical burden remains high because current diagnostic and prognostic tools do not adequately capture molecular diversity. Conventional imaging, serum markers, and histopathological assessment remain insufficient for precise early diagnosis, subtype-resolved classification, and outcome stratification, while tissue and liquid biopsy approaches have expanded the range of analytes available for clinical assessment. Recent studies have identified candidate biomarker signatures across genomic, epigenomic, transcriptomic, proteomic, metabolomic, and circulating layers, suggesting that integrated multi-omics profiling may better represent tumor lineage, clonal evolution, immune context, and therapeutic vulnerability than isolated molecular readouts. However, these layers are not equally mature for clinical use: genomic testing is closest to routine therapeutic application in iCCA, plasma methylation assays are advancing for HCC surveillance augmentation, and many proteomic or metabolomic panels remain validation-stage tools. Their clinical value remains constrained by sampling bias, biospecimen-dependent signal loss, assay standardization, cost, and the need for prospective validation across clinically diverse populations. This narrative review critically synthesizes current evidence on multi-omics biomarker signatures for precision diagnosis and prognosis in primary liver cancer and argues that clinically useful signatures should be question-specific, stage-aware, and specimen-aware rather than universal multi-analyte panels.

Indexed as

Biomarkers, TumorCarcinoma, HepatocellularCholangiocarcinomaLiver NeoplasmsHumansMultiomicsPrognosisProteomicsBiomarkers, Tumorbiomarker signaturesmolecular stratificationmulti‐omicsnarrative reviewprecision diagnosisprimary liver cancertranscriptomics

Identifiers

PMID42697859
PMCPMC13545153

What OpenQuestion 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 OpenQuestion graph.