Evidence map›Paper›PMID 40673276›Full record

ArticleFrontiers in cell and developmental biology2025

CKAP4 and PLOD2 as novel prognostic biomarkers in hepatocellular carcinoma: a proteomics-driven risk stratification model.

Qiulong Lu, Zhao Cao, Yueting Xiong, Junqiang Huang, Huan Zeng, Zhijian Chen, You Shu, Yahan Tan, Xiaoling Long, Xiaohui Liu and 1 more

Abstract read
In one paragraph

Article in Frontiers in cell and developmental biology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

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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

3 citing papers in PubMed.

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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

11 authors.

Qiulong Lu *Department of Clinical Laboratory, Guangxi Medical University Cancer Hospital, Nanning, China.
Zhao Cao *Department of Clinical Laboratory, First Affiliated Hospital of Guangxi Medical University, Nanning, China.
Yueting Xiong *State Key Laboratory of Vaccines for Infectious Diseases, Xiang An Biomedicine Laboratory, Xiamen University, Xiamen, China.
Junqiang HuangDepartment of Clinical Laboratory, First Affiliated Hospital of Guangxi Medical University, Nanning, China.
Huan ZengDepartment of Clinical Laboratory, Guangxi Medical University Cancer Hospital, Nanning, China.
Zhijian ChenDepartment of Clinical Laboratory, First Affiliated Hospital of Guangxi Medical University, Nanning, China.
You ShuDepartment of Clinical Laboratory, Guangxi Medical University Cancer Hospital, Nanning, China.
Yahan TanDepartment of Clinical Laboratory, Guangxi Medical University Cancer Hospital, Nanning, China.
Xiaoling LongDepartment of Clinical Laboratory, Guangxi Medical University Cancer Hospital, Nanning, China.
Xiaohui LiuInstitute of Translational Medicine, Shanghai Jiao Tong University, Shanghai, China.
Hong ShuDepartment of Clinical Laboratory, Guangxi Medical University Cancer Hospital, Nanning, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: The prognosis of patients with hepatocellular carcinoma (HCC) is a research hotspot. This study aimed to identify novel prognostic protein markers for HCC using data-independent acquisition mass spectrometry (DIA-MS) and develop an integrative predictive model to enhance clinical decision-making and patient stratification. Methods: DIA-MS were implemented to identify valuable prognostic HCC biomarkers in 31 patients with different prognoses. A prognostic model was developed and validated using immunohistochemistry (IHC). Results: Cytoskeleton-associated membrane protein 4 (CKAP4) and procollagen-lysine, 2-oxoglutarate 5-dioxygenase 2 (PLOD2) were identified as key prognostic proteins, with higher expression levels associated with poor prognosis. Immunohistochemical validation confirmed the prognostic value of CKAP4 and PLOD2. A nomogram incorporating AJCC stage and the combination of CKAP4 and PLOD2 demonstrated superior predictive Sability for overall survival (OS) compared to individual indicators. The model predicted an outcome with a concordance index (C-index) of 0.738 (95% CI, 0.698-0.779) and significantly stratified patients into distinct risk groups ( Conclusion: In conclusion, this study identified CKAP4 and PLOD2 as novel prognostic protein markers for HCC. The developed nomogram, integrating these molecular markers with AJCC stage, shows promise in predicting OS and stratifying risk in HCC patients.

Indexed as

CKAP4DIA-MS proteomicsHCCPLOD2prognosis biomarkersprognostic model

Identifiers

PMID40673276
PMCPMC12264339

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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.