Evidence map›Paper›PMID 37298343›Full record

ArticleInternational journal of molecular sciences2023

A Novel Defined PANoptosis-Related miRNA Signature for Predicting the Prognosis and Immune Characteristics in Clear Cell Renal Cell Carcinoma: A miRNA Signature for the Prognosis of ccRCC.

Yanmei Wang, Jia Zhou, Nan Zhang, Yiran Zhu, Yiming Zhong, Zhuo Wang, Hongchuan Jin, Xian Wang

Open access · goldAbstract read
In one paragraph

Article in International journal of molecular sciences, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 30 papers.

0numbers the graph read from it
0cells of the map it votes in
30citing papers in PubMed
8.0field-weighted citation impact, top 2% of its field
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

30 citing papers in PubMed, 31 citations in OpenAlex.

  1. Review
  2. Review
  3. CirculatingCancers · 2026
    Article
  4. Article
  5. Review
  6. Article
  7. Review
  8. Review
  9. PANoptosis: A novel therapeutic target in kidney disease (Review).International journal of molecular medicine · 2025
    Review
  10. Targeting miRNAs in renal cell carcinoma: emerging therapeutic strategies.International journal of clinical oncology · 2025
    Review
  11. Review
  12. Review
  13. Article
  14. Article
  15. Review
  16. Article
  17. Article
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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 at 1 institution in 1 country.

Yanmei WangSchool of Medicine, Zhejiang University, Hangzhou 310030, China.ORCID 0000-0002-5922-2340
Jia ZhouSchool of Medicine, Zhejiang University, Hangzhou 310030, China.
Nan ZhangSchool of Medicine, Zhejiang University, Hangzhou 310030, China.
Yiran ZhuSchool of Medicine, Zhejiang University, Hangzhou 310030, China.
Yiming ZhongSchool of Medicine, Zhejiang University, Hangzhou 310030, China.ORCID 0000-0001-6345-0488
Zhuo WangSchool of Medicine, Zhejiang University, Hangzhou 310030, China.
Hongchuan JinLaboratory of Cancer Biology, Key Lab of Biotherapy in Zhejiang Province, Cancer Center of Zhejiang University, School of Medicine, Zhejiang University, Hangzhou 310016, China.
Xian WangSchool of Medicine, Zhejiang University, Hangzhou 310030, China.
Zhejiang University · CN

Funding

National Natural Science Foundation of China 32000519Zhejiang Provincial Natural Science Foundation LQ21C080001
6 · The paper itself

Abstract

Clear cell renal cell carcinoma (ccRCC) is one of the most prevalent cancers, and PANoptosis is a distinct, inflammatory-programmed cell death regulated by the PANoptosome. The essential regulators of cancer occurrence and progression are microRNAs (miRNAs). However, the potential function of PANoptosis-related microRNAs (PRMs) in ccRCC remains obscure. This study retrieved ccRCC samples from The Cancer Genome Atlas database and three Gene Expression Omnibus datasets. PRMs were recognized based on previous reports in the scientific literature. Regression analyses were used to identify the prognosis PRMs and construct a PANoptosis-related miRNA prognostic signature based on the risk score. We discovered that high-risk patients had poorer survival prognoses and were significantly linked to high-grade and advanced-stage tumors, using a variety of R software packages and web analysis tools. Furthermore, we demonstrated that the low-risk group had significant changes in their metabolic pathways. In contrast, the high-risk group was characterized by high immune cell infiltration, immune checkpoint expression, and low half-maximum inhibition concentration (IC50) values of chemotherapeutic agents. This suggests that high-risk patients may benefit more from immunotherapy and chemotherapy. In conclusion, we constructed a PANoptosis-related microRNA signature and revealed its potential significance in clinicopathological features and tumor immunity, thereby providing new precise treatment strategies.

Indexed as

CarcinomaCarcinoma, Renal CellKidney NeoplasmsMicroRNAsApoptosisHumansMicroRNAsclear cell renal cell carcinomamicroRNAPANoptosisprognostic signaturetumor microenvironment

Identifiers

PMID37298343
PMCPMC10253790
OpenAlexW4378588834

What OpenQuestion holds

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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.