Evidence map›Paper›PMID 39777330›Full record

ArticleFrontiers in oncology2024

Prediction of prognosis, immunogenicity and efficacy of immunotherapy based on cholesterol metabolism in gastric cancer.

Chengjun Zhu, Mengpei Yan, Zhijun Zhang, Yikai Shen, Wangwen Wang, Zetian Chen, Changsheng Cai, Hongda Liu, Zekuan Xu, Zheng Li

Abstract read
In one paragraph

Article in Frontiers in oncology, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Advances in the molecular subtyping of gastric cancer.World journal of surgical oncology · 2026
    Review
  2. 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

10 authors.

Chengjun Zhu *Department of General Surgery, The First Affiliated Hospital of Nanjing Medical University, Nanjing, China.
Mengpei Yan *Department of General Surgery, The First Affiliated Hospital of Nanjing Medical University, Nanjing, China.
Zhijun Zhang *Department of General Surgery, The First Affiliated Hospital of Nanjing Medical University, Nanjing, China.
Yikai Shen *Department of General Surgery, The First Affiliated Hospital of Nanjing Medical University, Nanjing, China.
Wangwen WangDepartment of Geriatric Gastroenterology, the First Affiliated Hospital of Nanjing Medical University, Nanjing, China.
Zetian ChenDepartment of General Surgery, The First Affiliated Hospital of Nanjing Medical University, Nanjing, China.
Changsheng CaiDepartment of General Surgery, The First Affiliated Hospital of Nanjing Medical University, Nanjing, China.
Hongda LiuDepartment of General Surgery, The First Affiliated Hospital of Nanjing Medical University, Nanjing, China.
Zekuan XuDepartment of General Surgery, The First Affiliated Hospital of Nanjing Medical University, Nanjing, China.
Zheng LiDepartment of General Surgery, The First Affiliated Hospital of Nanjing Medical University, Nanjing, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Cholesterol metabolism plays a crucial role in tumor progression and immune response modulation. However, the precise connection between cholesterol metabolism-related genes (CMRGs) and their implications for clinical prognosis, the tumor microenvironment (TME), and the outcomes of immunotherapy in gastric cancer remains to be fully elucidated. Methods: Transcriptome data and related clinical information from 675 gastric cancer patients were downloaded from The Cancer Genome Atlas (TCGA) and Gene Expression Omnibus (GEO) databases. A total of 50 cholesterol metabolism-related genes (CMRGs) were identified from the Kyoto Encyclopedia of Genes and Genomes (KEGG, hsa04979). Consensus clustering analysis was used to classify patients into distinct molecular subgroups, while principal component analysis (PCA) was applied to develop a prognostic scoring system for predicting survival and immunotherapy response. The scoring system was validated using three independent cohorts of gastric cancer patients. Results: Based on 49 CMRGs, 675 gastric cancer patients were categorized into three distinct subgroups with varying prognoses, tumor microenvironment features, and clinical characteristics. Further differential gene analysis and consensus clustering identified two additional subgroups. The prognostic scoring system developed through PCA demonstrated that the high-score subgroup had significantly improved survival, higher tumor mutational burden (TMB), and microsatellite instability (MSI), as well as a greater number of mutated genes, indicating greater sensitivity to immunotherapy. This system was validated in a real-world cohort undergoing immunotherapy. Additionally, the correlation between GPC3 expression and cholesterol levels was confirmed, highlighting GPC3's potential biological role. Conclusion: This study highlights the importance of CMRGs in gastric cancer, deepens our understanding of the tumor immune microenvironment, and guides individualized immunotherapy.

Indexed as

cholesterolgastric cancerimmunotherapyprognosistumor microenvironment

Identifiers

PMID39777330
PMCPMC11703741

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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.