Evidence map›Paper›PMID 33761933›Full record

ArticleCell communication and signaling : CCS2021

Multi-omics analysis of tumor angiogenesis characteristics and potential epigenetic regulation mechanisms in renal clear cell carcinoma.

Wenzhong Zheng, Shiqiang Zhang, Huan Guo, Xiaobao Chen, Zhangcheng Huang, Shaoqin Jiang, Mengqiang Li

Open access · goldAbstract read
In one paragraph

Article in Cell communication and signaling : CCS, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 39 papers.

0numbers the graph read from it
0cells of the map it votes in
39citing papers in PubMed
7.2field-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

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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

39 citing papers in PubMed, 66 citations in OpenAlex.

  1. Article
  2. Comprehensive evaluation of angiogenesis-associated genes in papillary thyroid cancer using bulk RNA and single-cell sequencing data.European archives of oto-rhino-laryngology : official journal of the European Federation of Oto-Rhino-Laryngological Societies (EUFOS) : affiliated with the German Society for Oto-Rhino-Laryngology - Head and Neck Surgery · 2026
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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

7 authors at 3 institutions in 1 country.

Wenzhong Zheng *Department of Urology, Fujian Province, Fujian Medical University Union Hospital, Gulou District, 29 Xinquan Road, Fuzhou, 200001, People's Republic of China.
Shiqiang Zhang *Department of Urology, Kidney and Urology Center, The Seventh Affiliated Hospital, Sun Yat-Sen University, Shenzhen, Guangdong, People's Republic of China.ORCID 0000-0001-5697-1605
Huan GuoDepartment of Urology, Shenzhen University General Hospital and Shenzhen University Clinical Medical Academy Center, Shenzhen University, Shenzhen, Guangdong, People's Republic of China.
Xiaobao ChenDepartment of Urology, Fujian Province, Fujian Medical University Union Hospital, Gulou District, 29 Xinquan Road, Fuzhou, 200001, People's Republic of China.
Zhangcheng HuangDepartment of Urology, Fujian Province, Fujian Medical University Union Hospital, Gulou District, 29 Xinquan Road, Fuzhou, 200001, People's Republic of China.
Shaoqin JiangDepartment of Urology, Fujian Province, Fujian Medical University Union Hospital, Gulou District, 29 Xinquan Road, Fuzhou, 200001, People's Republic of China.
Mengqiang LiDepartment of Urology, Fujian Province, Fujian Medical University Union Hospital, Gulou District, 29 Xinquan Road, Fuzhou, 200001, People's Republic of China. limengqiang1976@163.com.
Fujian Medical University · CNShenzhen University · CNSun Yat-sen University · CN

Funding

Fujian Natural Sciences Foundation 2017J01203Joint Funds for the innovation of science and Technology, Fujian province 2017Y9023Research Project of Shenzhen Health Family Planning System SZBC2018001Startup Fund for scientific research, Fujian Medical University 2016QH032Startup Fund for scientific research, Fujian Medical University 2018QH1044Startup Fund for scientific research of bring in talents, Fujian Medical University 2020XH004
6 · The paper itself

Abstract

backgroundTumor angiogenesis, an essential process for cancer proliferation and metastasis, has a critical role in prognostic of kidney renal clear cell carcinoma (KIRC), as well as a target in guiding treatment with antiangiogenic agents. However, tumor angiogenesis subtypes and potential epigenetic regulation mechanisms in KIRC patient remains poorly characterized. System evaluation of angiogenesis subtypes in KIRC patient might help to reveal the mechanisms of KIRC and develop more target treatments for patients.

methodTen independent tumor angiogenesis signatures were obtained from molecular signatures database (MSigDB) and gene set variation analysis was performed to calculate the angiogenesis score in silico using the Cancer Genome Atlas (TCGA) KIRC dataset. Tumor angiogenesis subtypes in 539 TCGA-KIRC patients were identified using consensus clustering analysis. The potential regulation mechanisms was studied using gene mutation, copy number variation, and differential methylation analysis (DMA). The master transcription factors (MTF) that cause the difference in tumor angiogenesis signals were completed by transcription factor enrichment analysis.

resultsThe angiogenesis score of a prognosis related angiogenesis signature including 189 genes was significantly correlated with immune score, stroma score, hypoxia score, and vascular endothelial growth factor (VEGF) signal score in 539 TCGA KIRC patients. MMRN2, CLEC14A, ACVRL1, EFNB2, and TEK in candidate gene set showed highest correlation coefficient with angiogenesis score in TCGA-KIRC patients. In addition, all of them were associated with overall survival in both TCGA-KIRC and E-MTAB-1980 KIRC data. Clustering analysis based on 183 genes in angiogenesis signature identified two prognosis related angiogenesis subtypes in TCGA KIRC patients. Two clusters also showed different angiogenesis score, immune score, stroma score, hypoxia score, VEGF signal score, and microenvironment score. DMA identified 59,654 differential methylation sites between two clusters and part of these sites were correlated with tumor angiogenesis genes including CDH13, COL4A3, and RHOB. In addition, RFX2, SOX13, and THRA were identified as top three MTF in regulating angiogenesis signature in KIRC patients.

conclusionOur study indicate that evaluation the angiogenesis subtypes of KIRC based on angiogenesis signature with 183 genes and potential epigenetic mechanisms may help to develop more target treatments for KIRC patients. Video Abstract.

Indexed as

GenomicsCarcinoma, Renal CellCohort StudiesDNA Copy Number VariationsDNA MethylationEpigenesis, GeneticHumansKidney NeoplasmsMutationNeovascularization, PathologicPrognosisTranscription FactorsTumor MicroenvironmentTranscription FactorsDifferential methylation sitesKidney renal clear cell carcinoma (KIRC)Master transcription factorsMicroenvironment scoreTumor angiogenesis

Identifiers

PMID33761933
PMCPMC7992844
OpenAlexW3138819821

What OpenQuestion holds

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LicenceCC BY
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Registered trials

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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.