Evidence map›Paper›PMID 32310824›Full record

ArticleAging2020

A novel immune-related genes prognosis biomarker for melanoma: associated with tumor microenvironment.

Rongzhi Huang, Min Mao, Yunxin Lu, Qingliang Yu, Liang Liao

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 76 papers.

0numbers the graph read from it
0cells of the map it votes in
76citing papers in PubMed
8.1field-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

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

76 citing papers in PubMed, 109 citations in OpenAlex.

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16 more citing papers are in PubMed but not listed here.

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

5 authors at 2 institutions in 1 country.

Rongzhi HuangThe First Affiliated Hospital of Guangxi Medical University, Nanning 530021, The Guangxi Zhuang Autonomous Region, China.
Min MaoThe First Affiliated Hospital of Guangxi Medical University, Nanning 530021, The Guangxi Zhuang Autonomous Region, China.
Yunxin LuThe First Affiliated Hospital of Guangxi Medical University, Nanning 530021, The Guangxi Zhuang Autonomous Region, China.
Qingliang YuThe First Affiliated Hospital of Guangxi Medical University, Nanning 530021, The Guangxi Zhuang Autonomous Region, China.
Liang LiaoThe First Affiliated Hospital of Guangxi Medical University, Nanning 530021, The Guangxi Zhuang Autonomous Region, China.
First Affiliated Hospital of GuangXi Medical University · CNGuangxi Medical University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundMelanoma is a cancer of the skin with potential to spread to other organs and is responsible for most deaths due to skin cancer. It is imperative to identify immune biomarkers for early melanoma diagnosis and treatment.

results63 immune-related genes of the total 1039 unique IRGs retrieved were associated with overall survival of melanoma. A multi-IRGs classifier constructed using eight IRGs showed a powerful predictive ability. The classifier had better predictive power compared with the current clinical data. GSEA analysis showed multiple signaling differences between high and low risk score group. Furthermore, biomarker was associated with multiple immune cells and immune infiltration in tumor microenvironment.

conclusionsThe immune-related genes prognosis biomarker is an effective potential prognostic classifier in the immunotherapies and surveillance of melanoma.

methodsMelanoma samples of genes were retrieved from TCGA and GEO databases while the immune-related genes (IRGs) were retrieved from the ImmPort database. WGCNA, Cox regression analysis and LASSO analysis were used to classify melanoma prognosis. ESTIMATE and CIBERSORT algorithms were used to explore the relationship between risk score and tumor immune microenvironment. GSEA analysis was performed to explore the biological signaling pathway.

Indexed as

Tumor MicroenvironmentBiomarkers, TumorHumansImmunotherapyMelanomaPrognosisSignal TransductionSkin NeoplasmsBiomarkers, Tumorclassifierimmune-related genesmelanomamicroenvironmentoverall survival

Identifiers

PMID32310824
PMCPMC7202520
OpenAlexW3016736315

What OpenQuestion holds

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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.