Evidence map›Paper›PMID 31227589›Full record

ArticleGut2019

Integrated multiomic analysis reveals comprehensive tumour heterogeneity and novel immunophenotypic classification in hepatocellular carcinomas.

Qi Zhang, Yu Lou, Jiaqi Yang, Junli Wang, Jie Feng, Yali Zhao, Lin Wang, Xing Huang, Qihan Fu, Mao Ye and 15 more

Abstract read
In one paragraph

Article in Gut, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 216 papers.

0numbers the graph read from it
0cells of the map it votes in
216citing 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

216 citing papers in PubMed.

  1. Trial
  2. Trial
  3. Spatial Transcriptomics Analysis of Ewing Sarcoma.Methods in molecular biology (Clifton, N.J.) · 2027
    Article
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  7. From Theory to Practice: Which Biomarkers Are Ready for Predicting Response in Advanced HCC?Liver international : official journal of the International Association for the Study of the Liver · 2026
    Review
  8. Article
  9. Article
  10. Article
  11. Article
  12. Tumor-associated CD19Nature communications · 2026
    Article
  13. Article
  14. Article
  15. Article
  16. Article
  17. Review
  18. Article
  19. Article
  20. Article

156 more citing papers are in PubMed but not listed here.

4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

25 authors.

Qi Zhang *Department of Hepatobiliary and Pancreatic Surgery, The First Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, China.
Yu Lou *Department of Hepatobiliary and Pancreatic Surgery, The First Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, China.
Jiaqi Yang *Department of Hepatobiliary and Pancreatic Surgery, The First Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, China.
Junli WangDepartment of Hepatobiliary and Pancreatic Surgery, The First Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, China.
Jie FengBeijing Neurosurgical Institute, Beijing Tiantan Hospital, Capital Medical University, Beijing, China.
Yali ZhaoNovogene Biotechnology Inc, Beijing, China.
Lin WangZhejiang Provincial Key Laboratory of Pancreatic Disease, The First Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, China.
Xing HuangZhejiang Provincial Key Laboratory of Pancreatic Disease, The First Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, China.ORCID 0000-0002-8886-2777
Qihan FuZhejiang Provincial Key Laboratory of Pancreatic Disease, The First Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, China.
Mao YeDepartment of Hepatobiliary and Pancreatic Surgery, The First Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, China.
Xiaozhen ZhangDepartment of Hepatobiliary and Pancreatic Surgery, The First Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, China.
Yiwen ChenDepartment of Hepatobiliary and Pancreatic Surgery, The First Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, China.
Ce MaNovogene Biotechnology Inc, Beijing, China.
Hongbin GeDepartment of Hepatobiliary and Pancreatic Surgery, The First Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, China.
Jianing WangDepartment of Hepatobiliary and Pancreatic Surgery, The First Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, China.
Jiangchao WuDepartment of Hepatobiliary and Pancreatic Surgery, The First Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, China.
Tao WeiDepartment of Hepatobiliary and Pancreatic Surgery, The First Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, China.
Qi ChenDepartment of Hepatobiliary and Pancreatic Surgery, The First Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, China.
Junqing WuCenter for Stem Cell and Regenerative Medicine, Zhejiang University School of Medicine, Hangzhou, China.
Chengxuan YuCenter for Stem Cell and Regenerative Medicine, Zhejiang University School of Medicine, Hangzhou, China.
Yanyu XiaoCenter for Stem Cell and Regenerative Medicine, Zhejiang University School of Medicine, Hangzhou, China.
Xinhua FengLife Sciences Institute Zhejiang University, Hangzhou, China.
Guoji GuoCenter for Stem Cell and Regenerative Medicine, Zhejiang University School of Medicine, Hangzhou, China.
Tingbo LiangDepartment of Hepatobiliary and Pancreatic Surgery, The First Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, China.
Xueli BaiDepartment of Hepatobiliary and Pancreatic Surgery, The First Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, China.ORCID 0000-0002-2934-0880

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveHepatocellular carcinoma (HCC) is heterogeneous, especially in multifocal tumours, which decreases the efficacy of clinical treatments. Understanding tumour heterogeneity is critical when developing novel treatment strategies. However, a comprehensive investigation of tumour heterogeneity in HCC is lacking, and the available evidence regarding tumour heterogeneity has not led to improvements in clinical practice.

designWe harvested 42 samples from eight HCC patients and evaluated tumour heterogeneity using whole-exome sequencing, RNA sequencing, mass spectrometry-based proteomics and metabolomics, cytometry by time-of-flight, and single-cell analysis. Immunohistochemistry and quantitative polymerase chain reactions were performed to confirm the expression levels of genes. Three independent cohorts were further used to validate the findings.

resultsTumour heterogeneity is considerable with regard to the genomes, transcriptomes, proteomes, and metabolomes of lesions and tumours. The immune status of the HCC microenvironment was relatively less heterogenous. Targeting local immunity could be a suitable intervention with balanced precision and practicability. By clustering immune cells in the HCC microenvironment, we identified three distinctive HCC subtypes with immunocompetent, immunodeficient, and immunosuppressive features. We further revealed the specific metabolic features and cytokine/chemokine expression levels of the different subtypes. Determining the expression levels of CD45 and Foxp3 using immunohistochemistry facilitated the correct classification of HCC patients and the prediction of their prognosis.

conclusionThere is comprehensive intratumoral and intertumoral heterogeneity in all dimensions of HCC. Based on the results, we propose a novel immunophenotypic classification of HCCs that facilitates prognostic prediction and may support decision making with regard to the choice of therapy.

Indexed as

Carcinoma, HepatocellularForkhead Transcription FactorsHumansImmunophenotypingLeukocyte Common AntigensLiver NeoplasmsTumor MicroenvironmentForkhead Transcription FactorsFOXP3 protein, humanLeukocyte Common AntigensPTPRC protein, humancancer immunobiologyenergy metabolismhepatocellular carcinomaimmunogeneticsimmunotherapy

Identifiers

PMID31227589
PMCPMC6839802

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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.