Evidence map›Paper›PMID 32639949›Full record

ArticleAging2020

Epigenomic and genomic analysis of transcriptome modulation in skin cutaneous melanoma.

Wuzhen Chen, Pu Cheng, Jingxin Jiang, Yunqing Ren, Dang Wu, Dan Xue

Open access · greenAbstract read
In one paragraph

Article in Aging, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers.

0numbers the graph read from it
0cells of the map it votes in
15citing papers in PubMed
1.0field-weighted citation impact, top 25% 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

15 citing papers in PubMed, 17 citations in OpenAlex.

  1. Multi-omics profiling revealsTranslational lung cancer research · 2026
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  9. SAMHD1 in cancer: curse or cure?Journal of molecular medicine (Berlin, Germany) · 2022
    Review
  10. Review
  11. Review
  12. Article
  13. Prognostic signature and immune efficacy of mJournal of cellular and molecular medicine · 2021
    Article
  14. Review
  15. 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

6 authors at 2 institutions in 1 country.

Wuzhen ChenDepartment of Surgical Oncology, The Second Affiliated Hospital of Zhejiang University School of Medicine, Hangzhou Zhejiang, P.R. China.
Pu ChengDepartment of Gynecology, The Second Affiliated Hospital of Zhejiang University School of Medicine, Hangzhou Zhejiang, P.R. China.
Jingxin JiangDepartment of Surgical Oncology, The Second Affiliated Hospital of Zhejiang University School of Medicine, Hangzhou Zhejiang, P.R. China.
Yunqing RenDepartment of Gynecology, The Second Affiliated Hospital of Zhejiang University School of Medicine, Hangzhou Zhejiang, P.R. China.
Dang WuDepartment of Radiation Oncology, The Second Affiliated Hospital of Zhejiang University School of Medicine, Hangzhou Zhejiang, P.R. China.
Dan XueDepartment of Plastic Surgery, The Second Affiliated Hospital of Zhejiang University School of Medicine, Hangzhou Zhejiang, P.R. China.
Second Affiliated Hospital of Zhejiang University · CNBlood Center of Zhejiang Province · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Skin cutaneous melanoma (SKCM) is characterized by both epigenetic DNA methylation (MET) abnormalities and genomic copy number variations (CNVs). The resulting transcriptome dysregulation promotes progression of many cancers. In this study, DNA copy numbers and MET, as well as mRNA expression, were examined in 466 SKCM samples from The Cancer Genome Atlas. Our results indicate that CNVs-correlated (CNVcor) genes and MET-correlated (METcor) genes are coregulated to a remarkable degree. In addition, integrative multi-omics analysis of both METcor and CNVcor genes revealed four SKCM subtypes with differing prognoses; these subtypes were validated with independent data. Immune cell scores were markedly elevated in the iC1 subtype, which had the best prognosis. Immune cell infiltration correlated with DNA MET or CNV level in SKCM. In the iC3 subtype, which was associated with the most aggressive SKCM cases, FAM135B gene mutation frequencies were increased, while CD8A, GBP5, KIAA0040, and SAMHD1 expression were downregulated, suggesting that these genes play important roles in cancer development and immune responses. Taken together, the results of our epigenetic and genomic transcriptome modulation analysis improve our understanding of SKCM pathobiology and may aid in the development of more effective therapies.

Indexed as

MelanomaSkin NeoplasmsCutaneous Malignant MelanomaDNA Copy Number VariationsDNA MethylationEpigenomicsGene Expression ProfilingGene Expression Regulation, NeoplasticGenomicsHumansNeoplasm InvasivenessTranscriptomeepigenomic analysisgenomic analysismulti-omic analysisskin cutaneous melanomatranscriptome modulation

Identifiers

PMID32639949
PMCPMC7377867
OpenAlexW3041311573

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.