Evidence map›Paper›PMID 41732485›Full record

ArticleiScience2026

Radiomics predicts poorly differentiated hepatocellular carcinoma and uncovers ribosomal-immune dysregulation mechanism.

Yiping Gao, Dong Liu, Yifan Miao, Zhiqian Lou, Ziwei Luo, Yonggang Li, Hongfa Cai, Yan Zhu, Shuangqing Chen

Abstract read
In one paragraph

Article in iScience, 2026. 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. Article
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.

Yiping GaoDepartment of Radiology, The Affiliated Suzhou Hospital of Nanjing Medical University, Gusu School, Suzhou, Jiangsu 215000, China.
Dong LiuDepartment of Radiology, Third Affiliated Hospital of Naval Medical University, NO. 225 Changhai Road, Shanghai 200082, China.
Yifan MiaoDepartment of Radiology, The Affiliated Suzhou Hospital of Nanjing Medical University, Gusu School, Suzhou, Jiangsu 215000, China.
Zhiqian LouDepartment of Radiology, The Affiliated Suzhou Hospital of Nanjing Medical University, Gusu School, Suzhou, Jiangsu 215000, China.
Ziwei LuoDepartment of Radiology, The Affiliated Suzhou Hospital of Nanjing Medical University, Gusu School, Suzhou, Jiangsu 215000, China.
Yonggang LiDepartment of Radiology, First Affiliated Hospital of Soochow University, Suzhou, Jiangsu 215000, China.
Hongfa CaiDepartment of Radiology, The Affiliated Suzhou Hospital of Nanjing Medical University, Gusu School, Suzhou, Jiangsu 215000, China.
Yan ZhuDepartment of Radiology, The Affiliated Suzhou Hospital of Nanjing Medical University, Gusu School, Suzhou, Jiangsu 215000, China.
Shuangqing ChenDepartment of Radiology, The Affiliated Suzhou Hospital of Nanjing Medical University, Gusu School, Suzhou, Jiangsu 215000, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Hepatocellular carcinoma (HCC) shows marked spatial heterogeneity, limiting biopsy-based Edmondson-Steiner (ES) grading. We developed a multicenter radiogenomic framework to noninvasively predict ES grade and explore underlying molecular mechanisms. Arterial-phase DCE-MRI from 295 patients and The Cancer Imaging Archive (TCIA) cases were analyzed using three tumor regions (body, edge, and out). An integrated volume-of-interest (VOI) random forest (RF) model was trained with selected features and externally validated. Radiogenomic analysis correlated radscore with TCIA transcriptomic profiles using weighted gene co-expression network analysis (WGCNA). The model achieved high discrimination (area under the curve [AUC] 0.959 internally; 0.860 externally). Radscore-associated modules revealed ribosomal dysregulation and immune exhaustion. A derived prognostic signature stratified and The Cancer Genome Atlas (TCGA) patients into distinct risk groups and independently predicted survival (hazard ratio [HR] 3.95,

Indexed as

cancermolecular interactionmolecular network

Identifiers

PMID41732485
PMCPMC12925126

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Registered trials

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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.