Evidence map›Paper›PMID 38375529›Full record

ArticleComputational and structural biotechnology journal2024

Prognostic iron-metabolism signature robustly stratifies single-cell characteristics of hepatocellular carcinoma.

Zhipeng Zhu, Huang Cao, Hongyu Yan, Hanzhi Liu, Zaifa Hong, Anran Sun, Tong Liu, Fengbiao Mao

Abstract read
In one paragraph

Article in Computational and structural biotechnology journal, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. Review
  2. Iron and Cancer.Advances in experimental medicine and biology · 2025
    Review
  3. 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

8 authors.

Zhipeng ZhuInstitute of Medical Innovation and Research, Peking University Third Hospital, Beijing 100191, China.
Huang CaoSchool of Medicine, Xiamen University, Xiamen, Fujian 361100, China.
Hongyu YanSchool of Medicine, Xiamen University, Xiamen, Fujian 361100, China.
Hanzhi LiuThe Third Clinical Medical College, Gannan Medical University, Ganzhou, Jiangxi 341000, China.
Zaifa HongDepartment of Hepatobiliary Surgery, The First Affiliated Hospital, School of Medicine, Xiamen University, Xiamen, Fujian 361103, China.
Anran SunOncology Research Center, Foresea Life Insurance Guangzhou General Hospital, Guangzhou, Guangdong 511300, China.
Tong LiuInstitute of Medical Innovation and Research, Peking University Third Hospital, Beijing 100191, China.
Fengbiao MaoInstitute of Medical Innovation and Research, Peking University Third Hospital, Beijing 100191, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Cancer immunotherapy has shown to be a promising method in treating hepatocellular carcinoma (HCC), but suboptimal responses in patients are attributed to cellular and molecular heterogeneity. Iron metabolism-related genes (IRGs) are important in maintaining immune system homeostasis and have the potential to help develop new strategies for HCC treatment. Herein, we constructed and validated the iron-metabolism gene prognostic index (IPX) using univariate Cox proportional hazards regression and LASSO Cox regression analysis, successfully categorizing HCC patients into two groups with distinct survival risks. Then, we performed single-sample gene set enrichment analysis, weighted correlation network analysis, gene ontology enrichment analysis, cellular lineage analysis, and SCENIC analysis to reveal the key determinants underlying the ability of this model based on bulk and single-cell transcriptomic data. We identified several driver transcription factors specifically activated in specific malignant cell sub-populations to contribute to the adverse survival outcomes in the IPX-high subgroup. Within the tumor microenvironment (TME), T cells displayed significant diversity in their cellular characteristics and experienced changes in their developmental paths within distinct clusters identified by IPX. Interestingly, the proportion of Treg cells was increased in the high-risk group compared with the low-risk group. These results suggest that iron-metabolism could be involved in reshaping the TME, thereby disrupting the cell cycle of immune cells. This study utilized IRGs to construct a novel and reliable model, which can be used to assess the prognosis of patients with HCC and further clarify the molecular mechanisms of IRGs in HCC at single-cell resolution.

Indexed as

Hepatocellular carcinoma (HCC)Immune infiltrationIron metabolism-related gene prognostic index (IPX)Iron metabolism-related genes (IRGs)Personalized medicine

Identifiers

PMID38375529
PMCPMC10875160

What Socratic holds

Textmetadata
LicenceCC BY-NC-ND
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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 Socratic graph.