Evidence map›Paper›PMID 42449933›Full record

ArticleInternational journal of molecular sciences2026

H3K4me3 and H3K27ac Promote ccRCC Proliferation Through the CDC6-EXOSC5 Axis.

Peng Cui, Juan Luo, Ping Zhang, Qiongye Dong, Xiangling Chen

Abstract read
In one paragraph

Article in International journal of molecular sciences, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

5 authors.

Peng CuiPrecision Medicine Institute, Peking University Shenzhen Hospital, Shenzhen 518036, China.ORCID 0009-0003-0846-4432
Juan LuoPrecision Medicine Institute, Peking University Shenzhen Hospital, Shenzhen 518036, China.
Ping ZhangDepartment of Hematology, Peking University Shenzhen Hospital, Shenzhen 518036, China.
Qiongye DongPrecision Medicine Institute, Peking University Shenzhen Hospital, Shenzhen 518036, China.
Xiangling ChenPrecision Medicine Institute, Peking University Shenzhen Hospital, Shenzhen 518036, China.

Funding

National Natural Science Foundation of China 32300995Shenzhen Science and Technology Innovation Commission JCYJ20230807095112023, JCYJ20250604183834046
6 · The paper itself

Abstract

Renal cell carcinoma (RCC) is one of the most common malignant tumors of the urinary system, with clear cell renal cell carcinoma (ccRCC) accounting for more than 75% of RCC cases and representing the primary cause of mortality in renal cancer patients. CDC6 exhibits oncogenic characteristics and plays a significant role in tumor grading and prognosis prediction. Analysis of The Cancer Genome Atlas (TCGA) data shows that the CDC6 gene is significantly overexpressed in 97.22% (70/72) of paired clinical samples in ccRCC tissues compared to adjacent normal tissues. Consistent with this, elevated CDC6 protein levels were observed across all four paired tumor tissues examined. Functional experiments further confirm that CDC6 expression levels directly influence cellular proliferation, as its knockdown suppresses cell viability by ~60% in CCK-8 assays (

Indexed as

Carcinoma, Renal CellCell Cycle ProteinsHistonesKidney NeoplasmsNuclear ProteinsRNA-Binding ProteinsAcetylationCell Line, TumorCell ProliferationGene Expression Regulation, NeoplasticHistone-Lysine N-MethyltransferaseHumansCDC6 protein, humanCell Cycle Proteinshistone H3 trimethyl Lys4Histone-Lysine N-MethyltransferaseHistonesNuclear ProteinsRNA-Binding ProteinsCDC6clear cell renal cell carcinomaEXOSC5proliferationSETD1A

Identifiers

PMID42449933
PMCPMC13362089

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.