Evidence map›Paper›PMID 34047683›Full record

ArticleBioengineered2021

Prediction of clinical prognosis in cutaneous melanoma using an immune-related gene pair signature.

Yu Yang, Xuan Long, Guiyun Li, Xiaohong Yu, Yu Liu, Kun Li, Xiaobin Tian

Abstract read
In one paragraph

Article in Bioengineered, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing 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

6 citing papers in PubMed.

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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.

Yu YangDepartment of Emergency, The Second People's Hospital of Guiyang, Guiyang, China.ORCID 0000-0002-9143-655X
Xuan LongDepartment of Obstetrics and Gynecology, The Affiliated Hospital of Guizhou Medical University, Guiyang, China.
Guiyun LiDepartment of Emergency, The Second People's Hospital of Guiyang, Guiyang, China.
Xiaohong YuDepartment of Emergency, The Second People's Hospital of Guiyang, Guiyang, China.
Yu LiuDepartment of Obstetrics and Gynecology, The Affiliated Hospital of Guizhou Medical University, Guiyang, China.
Kun LiDepartment of Emergency, The Second People's Hospital of Guiyang, Guiyang, China.
Xiaobin TianDepartment of Orthopedics, Clinical Medical College, Guizhou Medical University, Guiyang, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Cutaneous melanoma (CM) is a malignant and aggressive skin cancer that is the leading cause of skin cancer-related deaths. Increasing evidence shows that immunity plays a vital role in the prognosis of CM. In this study, we developed an immune-related gene pair (IRGP) signature to predict the clinical prognosis of patients with CM. Immune-related genes from The Cancer Genome Atlas (TCGA) and the Gene Expression Omnibus (GEO) databases were selected to construct the IRGPs, and patients with CM in these two cohorts were assigned to low- and high-risk subgroups. Moreover, we investigated the IRGPs and their individualized prognostic signatures using Kaplan-Meier survival analysis, univariate and multivariate Cox analyses, and analysis of immune cell infiltration in CM. A 41-IRGP signature was constructed from 2498 immune genes that could significantly predict the overall survival of patients with CM in both the TCGA and GEO cohorts. Immune infiltration analysis indicated that several immune cells, especially M1 macrophages and activated CD4 T cells, were significantly associated with the prognostic effect of the IRGP signature in patients with CM. Overall, the IRGP signature constructed in this study was useful for determining the prognosis of patients with CM and for providing further understanding of CM immunotherapy.

Indexed as

Gene Expression ProfilingGene Expression Regulation, NeoplasticCohort StudiesHumansLymphocytes, Tumor-InfiltratingMelanomaModels, BiologicalPrognosisReproducibility of ResultsRisk FactorsROC CurveSkin NeoplasmsTime FactorsCutaneous melanomaimmune-related gene pairsprognosis

Identifiers

PMID34047683
PMCPMC8806557

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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.