Evidence map›Paper›PMID 42367187›Full record

ArticleJournal of hepatocellular carcinoma2026

Multimodal Modeling Distinguishes Treatment Response from Overall Survival in Hepatocellular Carcinoma Receiving Combined Interventional and Targeted Immunotherapy.

Donghai Lu, Pengfei Sun, Han Li, Zeng Liang, Zhaohan Zhang, Qihang Cao, Daolin Zhang, Qiao He, Jisen Jia, Yuxuan Wang and 3 more

Abstract read
In one paragraph

Article in Journal of hepatocellular carcinoma, 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

13 authors.

Donghai Lu *Department of General Surgery, Qilu Hospital of Shandong University, Jinan, Shandong, People's Republic of China.
Pengfei Sun *Department of General Surgery, Qilu Hospital of Shandong University, Jinan, Shandong, People's Republic of China.
Han LiDepartment of General Surgery, Qilu Hospital of Shandong University, Jinan, Shandong, People's Republic of China.
Zeng LiangDepartment of General Surgery, Qilu Hospital of Shandong University, Jinan, Shandong, People's Republic of China.
Zhaohan ZhangDepartment of General Surgery, Qilu Hospital of Shandong University, Jinan, Shandong, People's Republic of China.
Qihang CaoDepartment of General Surgery, Qilu Hospital of Shandong University, Jinan, Shandong, People's Republic of China.
Daolin ZhangDepartment of General Surgery, Qilu Hospital of Shandong University, Jinan, Shandong, People's Republic of China.
Qiao HeDepartment of General Surgery, Qilu Hospital of Shandong University, Jinan, Shandong, People's Republic of China.
Jisen JiaDepartment of General Surgery, Qilu Hospital of Shandong University, Jinan, Shandong, People's Republic of China.
Yuxuan WangDepartment of General Surgery, Qilu Hospital of Shandong University, Jinan, Shandong, People's Republic of China.
Zhaoru DongDepartment of General Surgery, Qilu Hospital of Shandong University, Jinan, Shandong, People's Republic of China.ORCID 0000-0001-6056-2097
Dongxu WangDepartment of General Surgery, Qilu Hospital of Shandong University, Jinan, Shandong, People's Republic of China.ORCID 0000-0001-9813-563X
Tao LiDepartment of General Surgery, Qilu Hospital of Shandong University, Jinan, Shandong, People's Republic of China.ORCID 0000-0002-5108-1774

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background & Aims: While combined interventional therapies and targeted immunotherapy have improved outcomes for unresectable hepatocellular carcinoma (HCC), radiographic tumor shrinkage does not guarantee prolonged survival (the "responder paradox"). We hypothesized that these distinct endpoints may be associated with different clinical and biological factors and require separate predictive strategies. This study aimed to develop the predictive radiomics-integrated multimodal estimation (PRIME) system to independently predict and biologically characterize treatment response versus overall survival (OS). Methods: In this multicenter study comprising 246 patients receiving combined interventional therapies and targeted immunotherapy, we integrated clinical data and dual-phase CT radiomics. We employed multimodal fusion algorithms to construct two models: PRIME-R (predicting 3-month objective response) and PRIME-S (predicting OS). Model performance was rigorously tested in an external validation cohort. Furthermore, we utilized SHapley Additive exPlanations and matched imaging-transcriptomic data to elucidate the specific clinical and molecular features associated with each outcome. Results: The PRIME models demonstrated superior accuracy compared to single-modality approaches. In external validation, PRIME-R achieved an AUC of 0.85, while PRIME-S achieved a C-index of 0.72. Significant risk stratification was confirmed (HR = 3.31, 95% CI: 2.06-5.31, P < 0.001). Crucially, feature analysis revealed a distinct divergence: PRIME-R was primarily driven by tumor morphology. In contrast, PRIME-S relied heavily on systemic inflammation and liver function reserve. Transcriptomic profiling supported this interpretation, showing that response was associated with acute immune activation, whereas survival was associated with metabolic adaptation and tissue homeostasis. Conclusion: Short-term response and long-term survival in HCC are distinct clinical endpoints associated with different biological drivers. The PRIME system effectively distinguishes these outcomes, offering insights into the responder paradox and supporting dual-endpoint risk stratification pending further prospective validation.

Indexed as

hepatocellular carcinomamultimodalmultimodal modelsnon-invasiveparadoxprecision stratificationrespondersurvivaltargeted immunotherapytreatment response

Identifiers

PMID42367187
PMCPMC13294205

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
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.