Evidence map›Paper›PMID 41617928›Full record

ArticleNPJ precision oncology2026

Large-scale single-cell analysis and in silico perturbation reveal dynamic evolution of HCC: from initiation to therapeutic targeting.

Peng Xia, Si Shuang, Daosen Fu, Luyao Liu, Dongliang Yang, Yanan Guo, Yixiao Tian, Pengfei Ji, Xinyi Yuan, Yingxia Tian and 2 more

Abstract read
In one paragraph

Article in NPJ precision oncology, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing 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

5 citing papers in PubMed.

  1. Article
  2. Article
  3. IntegratingFrontiers in immunology · 2026
    Review
  4. Article
  5. Review
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

12 authors.

Peng Xia *Department of Anatomy and Histology, School of Basic Medical Sciences, Lanzhou University, Lanzhou, China.
Si Shuang *Department of Anatomy and Histology, School of Basic Medical Sciences, Lanzhou University, Lanzhou, China.
Daosen Fu *Department of Anatomy and Histology, School of Basic Medical Sciences, Lanzhou University, Lanzhou, China.
Luyao LiuDepartment of Anatomy and Histology, School of Basic Medical Sciences, Lanzhou University, Lanzhou, China.
Dongliang YangDepartment of Anatomy and Histology, School of Basic Medical Sciences, Lanzhou University, Lanzhou, China.
Yanan GuoDepartment of Anatomy and Histology, School of Basic Medical Sciences, Lanzhou University, Lanzhou, China.
Yixiao TianDepartment of Anatomy and Histology, School of Basic Medical Sciences, Lanzhou University, Lanzhou, China.
Pengfei JiDepartment of Anatomy and Histology, School of Basic Medical Sciences, Lanzhou University, Lanzhou, China.
Xinyi YuanDepartment of Anatomy and Histology, School of Basic Medical Sciences, Lanzhou University, Lanzhou, China.
Yingxia TianSun Yat-sen University Cancer Gansu Hospital, Lanzhou, Gansu, China. tianyxlz@163.com.
Rong ShenDepartment of Anatomy and Histology, School of Basic Medical Sciences, Lanzhou University, Lanzhou, China. shenr@lzu.edu.cn.
Degui WangDepartment of Anatomy and Histology, School of Basic Medical Sciences, Lanzhou University, Lanzhou, China. wangdegui@lzu.edu.cn.

Funding

Fundamental Research Funds for the Central Universities lzujbky-2025-it39Gansu Provincial Natural Science Foundation Specialized Project on Laboratory Animals 25JRRA725National Key Research and Development Program of China 2021YFF0702400National Natural Science Foundation of China 82471640
6 · The paper itself

Abstract

The extensive intratumoral and microenvironmental heterogeneity of hepatocellular carcinoma (HCC) remains a major therapeutic barrier. Integrating single-cell transcriptomics samples spanning normal liver, primary tumors, portal vein tumor thrombus (PVTT), and metastatic lymph nodes (MLN) with spatial profiling, we systematically dissected cellular ecosystems driving HCC progression. Malignant hepatocytes segregated into four transcriptional meta-programs with divergent clinical trajectories: Diff-Metabolic, Prolif-Stress, MYC-Biosynth-Immune, and EMT-Inflammatory states. Diff-Metabolic cells retained liver-specific functions with favorable prognosis, whereas the other three programs correlated with disease advancement; notably, all four states exhibited differential therapeutic vulnerabilities, including sorafenib resistance. Within the tumor microenvironment, immunosuppressive Macro-SPP1 and Macro-TREM2 populations expanded during tumor progression. Spatial mapping revealed organized stromal territories where Endo-ESM1 endothelial cells and Fib-POSTN/Fib-CD36 fibroblasts establish TGFβ-enriched niches spatially correlating with Prolif-Stress and EMT-Inflammatory tumor cells, linking stromal architecture to malignant phenotypes. Endothelial-fibroblast crosstalk intensified through extracellular matrix and angiogenic signaling during progression. Geneformer-based virtual knockout screening identified HSP90B1 as a convergent dependency, validated by its cancer cell essentiality, HCC overexpression, abundance in treatment-resistant tumors, and association with adverse survival. This integrated atlas establishes a framework for targeting tumor-intrinsic states and microenvironmental dependencies in HCC.

Identifiers

PMID41617928
PMCPMC12961043

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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.