Evidence map›Paper›PMID 38919610›Full record

ArticleFrontiers in immunology2024

T cell-related ubiquitination genes as prognostic indicators in hepatocellular carcinoma.

Chaobo Chen, Zheng Chen, Zheyu Zhou, Hui Ye, Shaohui Xiong, Weidong Hu, Zipeng Xu, Chen Ge, Chunlong Zhao, Decai Yu and 1 more

Abstract read
In one paragraph

Article in Frontiers in immunology, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers.

0numbers the graph read from it
0cells of the map it votes in
14citing 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

14 citing papers in PubMed.

  1. Article
  2. Review
  3. Review
  4. Article
  5. Article
  6. Article
  7. Article
  8. Ubiquitination in hepatocellular carcinoma immunity.Journal of translational medicine · 2025
    Review
  9. Article
  10. Article
  11. Article
  12. Article
  13. Article
  14. 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

11 authors.

Chaobo Chen *Department of General Surgery, Xishan People's Hospital of Wuxi City, Wuxi, China.
Zheng Chen *Department of Hepatobiliary and Liver Transplantation Surgery, Drum Tower Hospital Affiliated to Nanjing University School of Medicine, Nanjing, China.
Zheyu Zhou *Department of General Surgery, Nanjing Drum Tower Hospital, Chinese Academy of Medical Sciences & Peking Union Medical College, Graduate School of Peking Union Medical College, Nanjing, China.
Hui Ye *Department of Anesthesiology, ZhongDa Hospital, Southeast University, Nanjing, Jiangsu, China.
Shaohui XiongDepartment of Cardiology, Huzhou Central Hospital, Huzhou, China.
Weidong HuDepartment of General Surgery, Xishan People's Hospital of Wuxi City, Wuxi, China.
Zipeng XuDepartment of General Surgery, Xishan People's Hospital of Wuxi City, Wuxi, China.
Chen GeDepartment of General Surgery, Xishan People's Hospital of Wuxi City, Wuxi, China.
Chunlong ZhaoDepartment of General Surgery, Xishan People's Hospital of Wuxi City, Wuxi, China.
Decai YuDepartment of Hepatobiliary and Liver Transplantation Surgery, Drum Tower Hospital Affiliated to Nanjing University School of Medicine, Nanjing, China.
Jiapei ShenDepartment of Infectious Diseases, Huzhou Central Hospital, Huzhou, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: T lymphocytes, integral to the adaptive immune system, wield pivotal influence in bolstering anti-tumor responses, and are strictly regulated by ubiquitination modification. The objective of this investigation was to devise a novel prognostic and immunotherapeutic efficacy predictor for hepatocellular carcinoma patients utilizing T cell-related ubiquitination genes (TCRUG). Method: The single-cell RNA sequencing (scRNA-seq) data and bulk RNA data of HCC patients are derived from the GEO database and TCGA database. Based on the processing of scRNA-seq, T cell marker genes are obtained and TCRUG is obtained. Further combined with WGCNA, differential analysis, univariate Cox regression analysis, LASSO analysis, and multivariate Cox regression analysis to filter and screen TCRUG. Finally construct a riskscore for predicting the prognosis of HCC patients, the predictive effect of which is validated in the GEO dataset. In addition, we also studied the correlation between riskscore and immunotherapy efficacy. Finally, the oncogenic role of UBE2E1 in HCC was explored through various Result: Based on patients' scRNA-seq data, we finally obtained 3050 T cell marker genes. Combined with bulk RNA data and clinical data from the TCGA database, we constructed a riskscore that accurately predicts the prognosis of HCC patients. This riskscore is an independent prognostic factor for HCC and is used to construct a convenient column chart. In addition, we found that the high-risk group is more suitable for immunotherapy. Finally, the proliferation, migration, and invasion abilities of HCC cells significantly decreased after UBE2E1 expression reduction. Conclusion: This study developed a riskscore based on TCRUG that can accurately and stably predict the prognosis of HCC patients. This riskscore is also effective in predicting the immune therapy response of HCC patients.

Indexed as

Biomarkers, TumorCarcinoma, HepatocellularLiver NeoplasmsT-LymphocytesUbiquitinationFemaleGene Expression Regulation, NeoplasticHumansImmunotherapyMalePrognosisBiomarkers, TumorHCCimmunotherapy responseprognosisT cellUBE2E1ubiquitination modification

Identifiers

PMID38919610
PMCPMC11196398

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.