Evidence map›Paper›PMID 39507262›Full record

ArticleJournal of inflammation research2024

High RRM2 Correlates with Mitochondrial and Immune Responses in the Eosinophilic Subtype of Clear Cell Renal Cell Carcinoma.

Xinqing Zhu, Abdullah Al-Danakh, Yuli Jian, Mohammed Safi, Sijie Luo, Qiwei Chen, Shujing Wang, Deyong Yang

Abstract read
In one paragraph

Article in Journal of inflammation research, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. 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.

Xinqing Zhu *Department of Urology, First Affiliated Hospital of Dalian Medical University, Dalian, Liaoning, People's Republic of China.
Abdullah Al-Danakh *Department of Urology, First Affiliated Hospital of Dalian Medical University, Dalian, Liaoning, People's Republic of China.
Yuli Jian *Department of Biochemistry and Molecular Biology, Institute of Glycobiology, Dalian Medical University, Dalian, Liaoning People's Republic of China.
Mohammed Safi *Thoracic/Head and Neck Medical Oncology Department, MD Anderson Cancer Center, Houston, TX, USA.
Sijie Luo *Department of Urology, First Affiliated Hospital of Dalian Medical University, Dalian, Liaoning, People's Republic of China.
Qiwei ChenDepartment of Urology, First Affiliated Hospital of Dalian Medical University, Dalian, Liaoning, People's Republic of China.
Shujing WangDepartment of Biochemistry and Molecular Biology, Institute of Glycobiology, Dalian Medical University, Dalian, Liaoning People's Republic of China.
Deyong YangDepartment of Urology, First Affiliated Hospital of Dalian Medical University, Dalian, Liaoning, People's Republic of China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Clear cell renal cell carcinoma (ccRCC), the predominant subtype of RCC, is distinguished by unique biological characteristics and heterogeneity, including eosinophilic and clear subtypes. Notwithstanding progress in therapy, immune checkpoint inhibitors (ICIs), and tyrosine kinase inhibitors (TKIs), the prognosis for individuals with metastatic ccRCC remains poor, presumably owing to metabolic alterations leading to mitochondrial dysfunction, which affects treatment response variability. Methods: We analyzed histological and immunohistochemical data from a cohort at Dalian Medical University's First Affiliated Hospital alongside RNA-sequencing transcriptome data from the TCGA database. Histologically, eosinophilic and clear ccRCC subtypes were evaluated using Kaplan-Meier and Cox proportional hazards models for survival analysis and prognosis. Differential gene expression (DEG) analysis and Gene Set Enrichment Analysis were performed to explore transcriptomic differences and relevant pathways. Results: The study discovered substantial histological and molecular differences between the eosinophilic and clear cell subtypes of ccRCC. The eosinophilic subtype linked with frequent high-grade tumors (69.05% eosinophil vs 35.35% clear) and a poorer prognosis (HR=2.659, 95% CI:1.437-4.919, P=0.002). DEG analysis revealed distinct expression patterns among subtypes and identified a risk score signature that remained significant even after adjusting for clinical variables (HR=3.967, 95% CI: 1.665-9.449, P=0.002), showing less favorable survival in the high-risk group (P < 0.0001). RRM2 emerged as the most prognostic gene from this risk score, particularly in the eosinophilic subtype, alongside other clinical variables. By IHC, RRM2 shows high IHC score in eosinophilic compared to clear subtype (P=0.019). In addition, highly expressed RRM2 correlates with poor outcomes and is linked to mitochondrial genes, immunological pathways, and ICIs treatment. Conclusion: These findings show significant differences in prognosis between subtypes. RRM2 was the most prognostic gene from the discovered novel risk score signature associated with subtypes. Future research is essential to validate these insights and their therapeutic implications for ccRCC management.

Indexed as

clear cell renal cell carcinoma subtypesimmune checkpoint inhibitorsmetabolic reprogramming. mitochondriaRRM2tumor microenvironment

Identifiers

PMID39507262
PMCPMC11539861

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