Evidence map›Paper›PMID 33336008›Full record

ArticleOpen medicine (Warsaw, Poland)2020

Identification of four genes associated with cutaneous metastatic melanoma.

Chen Ji, Yuming Li, Kai Yang, Yanwei Gao, Yan Sha, Dong Xiao, Xiaohong Liang, Zhongqin Cheng

Open access · goldAbstract read
In one paragraph

Article in Open medicine (Warsaw, Poland), 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.

0numbers the graph read from it
0cells of the map it votes in
12citing papers in PubMed
0.8field-weighted citation impact, top 31% 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

12 citing papers in PubMed, 18 citations in OpenAlex.

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  10. Role of Polymeric Immunoglobulin Receptor in IgA and IgM Transcytosis.International journal of molecular sciences · 2021
    Review
  11. 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.

Chen JiDepartment of Dermatology, Zhangjiagang TCM Hospital Affiliated to Nanjing University of Chinese Medicine, 77 Changan South Road, Zhangjiagang, Jiangsu Province, 215600, China.
Yuming LiDepartment of Dermatology, Zhangjiagang TCM Hospital Affiliated to Nanjing University of Chinese Medicine, 77 Changan South Road, Zhangjiagang, Jiangsu Province, 215600, China.
Kai YangDepartment of Dermatology, Zhangjiagang TCM Hospital Affiliated to Nanjing University of Chinese Medicine, 77 Changan South Road, Zhangjiagang, Jiangsu Province, 215600, China.
Yanwei GaoDepartment of Dermatology, Zhangjiagang TCM Hospital Affiliated to Nanjing University of Chinese Medicine, 77 Changan South Road, Zhangjiagang, Jiangsu Province, 215600, China.
Yan ShaDepartment of Dermatology, Zhangjiagang TCM Hospital Affiliated to Nanjing University of Chinese Medicine, 77 Changan South Road, Zhangjiagang, Jiangsu Province, 215600, China.
Dong XiaoDepartment of Dermatology, Zhangjiagang TCM Hospital Affiliated to Nanjing University of Chinese Medicine, 77 Changan South Road, Zhangjiagang, Jiangsu Province, 215600, China.
Xiaohong LiangDepartment of Pulmonary and Critical Care Medicine, Zhangjiagang TCM Hospital Affiliated to Nanjing University of Chinese Medicine, 77 Changan South Road, Zhangjiagang, Jiangsu Province, 215600, China.
Zhongqin ChengDepartment of Dermatology, Zhangjiagang TCM Hospital Affiliated to Nanjing University of Chinese Medicine, 77 Changan South Road, Zhangjiagang, Jiangsu Province, 215600, China.
Nanjing University of Chinese Medicine · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundCutaneous melanoma is an aggressive cancer with increasing incidence and mortality rates worldwide. Metastasis is one of the primary elements that influence the prognosis of patients with cutaneous melanoma. This study aims to clarify the potential mechanism underlying the low survival rate of metastatic melanoma and to search for novel target genes to improve the survival rate of patients with metastatic tumors.

methodsGene expression dataset and clinical data were downloaded from The Cancer Genome Atlas portal. Differentially expressed genes (DEGs) were identified, and their functions were studied through gene ontology and Kyoto Encyclopedia of Genes and Genomes enrichment analyses. Survival and multivariate Cox regression analyses were used to screen out candidate genes that could affect the prognosis of patients with metastatic melanoma.

resultsAfter a series of comprehensive statistical analysis, 464 DEGs were identified between primary tumor tissues and metastatic tissues. Survival and multivariate Cox regression analyses revealed four vital genes, namely,

conclusionThis study provides a new direction for studying the pathogenesis of metastatic melanoma. The genes related to cutaneous metastatic melanoma that affect the overall survival time of patients were identified.

Indexed as

cutaneous melanomagene analysismetastasisprognosis

Identifiers

PMID33336008
PMCPMC7712158
OpenAlexW3036411824

What Socratic 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 Socratic graph.