Evidence map›Paper›PMID 39237939›Full record

ArticleDiagnostic pathology2024

Identification of HDAC10 as a candidate oncogene in clear cell renal carcinoma that facilitates tumor proliferation and metastasis.

Luojia Yang, Qin Wei, Xinran Chen, Yang Yang, Qingbo Huang, Baojun Wang, Xin Ma

Abstract read
In one paragraph

Article in Diagnostic pathology, 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

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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

7 authors.

Luojia YangMedical School of Chinese PLA, Beijing, 100853, China.
Qin WeiThe Second Hospital, Cheeloo College of Medicine, Shandong University, Jinan, 250033, China.
Xinran ChenMedical School of Chinese PLA, Beijing, 100853, China.
Yang YangDepartment of Urology, The Third Medical Center, Chinese PLA General Hospital, Beijing, 100853, China.
Qingbo HuangDepartment of Urology, The Third Medical Center, Chinese PLA General Hospital, Beijing, 100853, China.
Baojun WangDepartment of Urology, The Third Medical Center, Chinese PLA General Hospital, Beijing, 100853, China. baojun40009@126.com.
Xin MaDepartment of Urology, The Third Medical Center, Chinese PLA General Hospital, Beijing, 100853, China. mxin301@126.com.

Funding

Fostering Fund of Chinese PLA General Hospital for National Distinguished Young Scholar Science Fund No.2020-JQPY-002National Natural Science Foundation of China No.81970594
6 · The paper itself

Abstract

backgroundClear cell renal cell carcinoma (ccRCC) remains one of the most lethal urological malignancies even though a great number of improvements in diagnosis and management have achieved over the past few decades. Accumulated evidence revealed that histone deacetylases (HDACs) play vital role in cell proliferation, differentiation and apoptosis. Nevertheless, the biological functions of histone deacetylation modification related genes in ccRCC remains poorly understood.

methodBulk transcriptomic data and clinical information of ccRCC patients were obtained from the TCGA database and collected from the Chinese PLA General Hospital. A total of 36 histone deacetylation genes were selected and studied in our research. Univariate cox regression analysis, least absolute shrinkage and selection operator (LASSO) regression, random forest (RF) analysis, and protein-protein interaction (PPI) network analysis were applied to identify key genes affecting the prognosis of ccRCC. The 'oncoPredict' algorithm was utilized for drug-sensitive analysis. Gene Set Enrichment Analysis (GSEA) and Kyoto Encyclopedia of Genes and Genomes (KEGG) enrichment analysis was used to explore the potential biological function. The ssGSEA algorithm was used for tumor immune microenvironment analysis. The expression levels of HDAC10 were validated by RT-PCR and immunohistochemistry (IHC). 5-ethynyl-2'-deoxyuridine (EdU assay), CCK-8 assay, cell transwell migration and invasion assay and colony formation assay were performed to detect the proliferation and invasion ability of ccRCC cells. A nomogram incorporating HDAC10 and clinicopathological characteristics was established to predict the prognosis of ccRCC patients.

resultTwo machine learning algorithms and PPI analysis identified four histone deacetylation genes that have a significant association with the prognosis of ccRCC, with HDAC10 being the key gene among them. HDAC10 is highly expressed in ccRCC and its high expression is associated with poor prognosis for ccRCC patients. Pathway enrichment and the experiments of EdU staining, CCK-8 assay, cell transwell migration and invasion assay and colony formation assay demonstrated that HDAC10 mediated the proliferation and metastasis of ccRCC cells and involved in reshaping the tumor microenvironment (TME) of ccRCC. A clinically reliable prognostic predictive model was established by incorporating HDAC10 and other clinicopathological characteristics ( https://nomogramhdac10.shinyapps.io/HDAC10_Nomogram/ ).

conclusionOur study found the increased expression of HDAC10 was closely associated with poor prognosis of ccRCC patients. HDAC10 showed a pro-tumorigenic effect on ccRCC and promote the proliferation and metastasis of ccRCC, which may provide new light on targeted therapy for ccRCC.

Indexed as

Carcinoma, Renal CellCell ProliferationHistone DeacetylasesKidney NeoplasmsAgedBiomarkers, TumorCell Line, TumorCell MovementFemaleGene Expression Regulation, NeoplasticHumansMaleMiddle AgedOncogenesPrognosisProtein Interaction MapsBiomarkers, TumorHDAC10 protein, humanHistone DeacetylasesClear cell renal cell carcinomaDeacetylationHDAC10Prognosis

Identifiers

PMID39237939
PMCPMC11378624

What Socratic holds

Textmetadata
LicenceCC BY
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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.