Evidence map›Paper›PMID 40092490›Full record

ArticleGenes & diseases2025

Comprehensive analysis of immune subtype characterization on identification of potential cells and drugs to predict response to immune checkpoint inhibitors for hepatocellular carcinoma.

Guichuan Lai, Biao Xie, Cong Zhang, Xiaoni Zhong, Jielian Deng, Kangjie Li, Hui Liu, Yuan Zhang, Anbin Liu, Yi Liu and 4 more

Abstract read
In one paragraph

Article in Genes & diseases, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 31 papers.

0numbers the graph read from it
0cells of the map it votes in
31citing 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

31 citing papers in PubMed.

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  11. Re-Thinking Pharmacokinetics in Ovarian Cancer: What Do Organoids Add?International journal of molecular sciences · 2026
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  20. TRIM family proteins: dual roles in tumor immunity.Frontiers in cell and developmental biology · 2026
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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

14 authors.

Guichuan LaiDepartment of Health Statistics, School of Public Health, Chongqing Medical University, Chongqing 401331, China.
Biao XieDepartment of Health Statistics, School of Public Health, Chongqing Medical University, Chongqing 401331, China.
Cong ZhangDepartment of Health Statistics, School of Public Health, Chongqing Medical University, Chongqing 401331, China.
Xiaoni ZhongDepartment of Health Statistics, School of Public Health, Chongqing Medical University, Chongqing 401331, China.
Jielian DengDepartment of Health Statistics, School of Public Health, Chongqing Medical University, Chongqing 401331, China.
Kangjie LiDepartment of Health Statistics, School of Public Health, Chongqing Medical University, Chongqing 401331, China.
Hui LiuDepartment of Health Statistics, School of Public Health, Chongqing Medical University, Chongqing 401331, China.
Yuan ZhangDepartment of Health Statistics, School of Public Health, Chongqing Medical University, Chongqing 401331, China.
Anbin LiuDepartment of Applied Statistics, School of Public Health, Chongqing Medical University, Chongqing 401331, China.
Yi LiuDepartment of Applied Statistics, School of Public Health, Chongqing Medical University, Chongqing 401331, China.
Jie FanDepartment of Epidemiology, School of Public Health, Chongqing Medical University, Chongqing 401331, China.
Tianyi ZhouDepartment of Health Statistics, School of Public Health, Chongqing Medical University, Chongqing 401331, China.
Wei WangDepartment of Applied Statistics, School of Public Health, Chongqing Medical University, Chongqing 401331, China.
Ailong HuangKey Laboratory of Molecular Biology for Infectious Diseases (Ministry of Education), Institute for Viral Hepatitis, Department of Infectious Diseases, The Second Affiliated Hospital, Chongqing Medical University, Chongqing 400010, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Immunosubtyping enables the segregation of immune responders from non-responders. However, numerous studies failed to focus on the integration of cellular heterogeneity and immunophenotyping in the prediction of hepatocellular carcinoma (HCC) patients' response to immune checkpoint inhibitors (ICIs). We categorized HCC patients into various immune subtypes based on feature scores linked to ICI response. Single-cell sequencing technology was to investigate the cellular heterogeneity of different immune subtypes and acquire significant ICI response-associated cells. Candidate drugs were identified using a blend of various drug databases and network approaches. HCC patients were divided into two distinct immune subtypes based on characterization scores of 151 immune-related gene sets. Patients in both subtypes showed varying overall survival, immunity levels, biological activities, and TP53 mutation rates. Subtype 1-related natural killer cells showed a positive correlation with immune-promoting scores but a negative correlation with immune-suppressing scores. Notably, docetaxel sensitivity in HCC patients rose as the levels of subtype 1-related natural killer cells increased. Our study demonstrated that immune subtypes have cellular heterogeneity in predicting response to ICIs. A combination of subtype 1-associated natural killer cells and docetaxel may offer new hope for ICI treatment in HCC.

Indexed as

Cellular heterogeneityDrug predictionHepatocellular carcinomaImmune checkpoint inhibitorsImmunosubtyping

Identifiers

PMID40092490
PMCPMC11907441

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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.