Evidence map›Paper›PMID 41741801›Full record

ArticleJournal of physiology and biochemistry2026

Comprehensive analysis and therapeutic implications of prognostic value of circadian rhythm genes in hepatocellular carcinoma.

Jichun Sun, Jiaxing Hou, Hongbo Xu, Zhiqiang Li, Zhen Deng, Zhi Yang, Wuqing Cao, Junning Hou, Xiaoxin Jin

Abstract read
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In one paragraph

Article in Journal of physiology and biochemistry, 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
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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

9 authors.

Jichun SunDepartment of Hepatobiliary and Pancreatic Surgery, The Third Xiangya Hospital, Central South University, Changsha, Hunan, 410013, China.
Jiaxing HouDepartment of General Surgery, The Fourth Hospital of Changsha, Changsha, Hunan, 410006, China.
Hongbo XuDepartment of Vascular Surgery, The Third Xiangya Hospital, Central South University, Changsha, Hunan, 410013, China.
Zhiqiang LiDepartment of Hepatobiliary and Pancreatic Surgery, The Third Xiangya Hospital, Central South University, Changsha, Hunan, 410013, China.
Zhen DengDepartment of Hepatobiliary and Pancreatic Surgery, The Third Xiangya Hospital, Central South University, Changsha, Hunan, 410013, China.
Zhi YangDepartment of General Surgery, Xiangya Hospital, Central South University, Changsha, Hunan, 410008, China.
Wuqing CaoDepartment of Hepatobiliary and Pancreatic Surgery, The Third Xiangya Hospital, Central South University, Changsha, Hunan, 410013, China.
Junning HouDepartment of General Surgery, The Second Xiangya Hospital, Central South University, Changsha, Hunan, 410011, China.
Xiaoxin JinDepartment of General Surgery, The Second Xiangya Hospital, Central South University, Changsha, Hunan, 410011, China. drjin1980@csu.edu.cn.

Funding

National Natural Science Foundation of China 81803085Natural Science Foundation of Hunan Province 2023JJ30841
6 · The paper itself

Abstract

Hepatocellular carcinoma (HCC) is a prevalent and deadly malignancy, with a significant global impact. In this study, the role of circadian rhythm genes in HCC prognosis was investigated. Publicly available gene expression datasets from TCGA and GEO were analyzed to identify differentially expressed circadian genes. Weighted gene co-expression network analysis (WGCNA) was performed to construct circadian gene modules, which were then correlated with clinical traits. Unsupervised clustering identified two distinct HCC subtypes based on circadian gene expression profiles, with significant differences in overall survival. Functional enrichment analysis revealed that these subtypes are associated with distinct metabolic and immune-related pathways. A prognostic model was constructed using LASSO regression, incorporating key circadian genes that stratified patients into high- and low-risk groups. The model was validated in independent cohorts and demonstrated robust predictive power. Additionally, a nomogram integrating circadian gene expression with clinical factors was developed to enhance individualized prognostic predictions. Further validation of key genes, particularly GPT (glutamate pyruvate transaminase), highlighted its potential as a tumor suppressor and therapeutic target within HCC. Experimental validation using qRT-PCR and IHC confirmed elevated expression levels of GHR, IGFBP3, and GPT in tumor tissues, underscoring their clinical relevance and prognostic value. These findings underscore the importance of circadian rhythm disruptions in HCC progression and suggest potential therapeutic targets for improving patient outcomes.

Indexed as

Biomarkers, TumorCarcinoma, HepatocellularCircadian RhythmGene Expression Regulation, NeoplasticLiver NeoplasmsGene Expression ProfilingGene Regulatory NetworksHumansNomogramsPrognosisBiomarkers, TumorCircadian rhythm genesHepatocellular carcinomaLASSO regressionPrognostic modelTumor microenvironmentWeighted gene co-expression network analysis

Identifiers

PMID41741801

What Socratic holds

Textmetadata
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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.