Evidence map›Paper›PMID 35637857›Full record

ArticleJournal of oncology2022

Identification of Three Genes Associated with Metastasis in Melanoma and Construction of a Predictive Model: A Multiracial Identification.

Ying Chen, Dan Wang, Qingyun Li, Yiyi Zhang, Zheng Peng, Yu He, Bin Lin, Meifang Xu, Qiong Chen, Yang Chen

Open access · hybridAbstract read
In one paragraph

Article in Journal of oncology, 2022. 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
0.1field-weighted citation impact, top 59% 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

1 citing paper in PubMed, 1 citations in OpenAlex.

  1. High Co-Expression ofJournal of oncology · 2023
    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

10 authors at 4 institutions in 1 country.

Ying Chen *Department of Plastic Surgery, Dermatology Hospital of Fuzhou, Fuzhou, China.ORCID https://orcid.org/0000-0001-8721-2564
Dan Wang *Department of Radiology, Taikang Tongji (Wuhan) Hospital, Wuhan, China.ORCID https://orcid.org/0000-0002-6708-3643
Qingyun Li *Department of Colorectal Surgery, Fujian Medical University Union Hospital, Fuzhou, China.ORCID https://orcid.org/0000-0001-9097-8608
Yiyi ZhangDepartment of Colorectal Surgery, The First Affiliated Hospital of Fujian Medical University, Fuzhou, China.
Zheng PengDepartment of Plastic Surgery, Dermatology Hospital of Fuzhou, Fuzhou, China.
Yu HeDepartment of Plastic Surgery, Dermatology Hospital of Fuzhou, Fuzhou, China.
Bin LinDepartment of Plastic Surgery, Dermatology Hospital of Fuzhou, Fuzhou, China.
Meifang XuDepartment of Pathology, Fujian Medical University Union Hospital, Fuzhou, China.ORCID https://orcid.org/0000-0002-4308-6348
Qiong ChenDepartment of Pharmacy, The Affiliated Hospital of Putian University, Putian, China.ORCID https://orcid.org/0000-0002-5257-1564
Yang ChenDepartment of Plastic Surgery, Dermatology Hospital of Fuzhou, Fuzhou, China.ORCID https://orcid.org/0000-0002-5798-5467
Fuzhou Dermatosis Prevention Hospital · CNFujian Medical University · CNPutian University · CNTongji Hospital · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The aim of this study was to identify hub genes associated with metastasis and prognosis in melanoma. Weighted gene coexpression network analysis (WGCNA) was performed to screen and identify hub genes. ROC and K-M analyses were used to verify the hub genes in the internal and external data sets. The risk score model and nomogram model were constructed based on the IHC result. Through WGCNA, the three hub genes, SNRPD2, SNRPD3, and EIF4A3, were identified. In the external data set, the hub genes identified were associated with the worse prognosis (TCGA, SNRPD2,

Identifiers

PMID35637857
PMCPMC9148232
OpenAlexW4281263225

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.