Evidence map›Paper›PMID 33133157›Full record

ArticleFrontiers in genetics2020

Identification of Signatures of Prognosis Prediction for Melanoma Using a Hypoxia Score.

Yanhong Shou, Lu Yang, Yongsheng Yang, Xiaohua Zhu, Feng Li, Jinhua Xu

Open access · goldAbstract read
In one paragraph

Article in Frontiers in genetics, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 23 papers.

0numbers the graph read from it
0cells of the map it votes in
23citing papers in PubMed
2.5field-weighted citation impact, top 8% 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

23 citing papers in PubMed, 28 citations in OpenAlex.

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  17. Pyroptosis, metabolism, and tumor immune microenvironment.Clinical and translational medicine · 2021
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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

6 authors at 3 institutions in 1 country.

Yanhong ShouDepartment of Dermatology, Huashan Hospital, Fudan University, Shanghai, China.
Lu YangDepartment of Dermatology, Huashan Hospital, Fudan University, Shanghai, China.
Yongsheng YangDepartment of Dermatology, Huashan Hospital, Fudan University, Shanghai, China.
Xiaohua ZhuDepartment of Dermatology, Huashan Hospital, Fudan University, Shanghai, China.
Feng LiDepartment of Dermatology, Huashan Hospital, Fudan University, Shanghai, China.
Jinhua XuDepartment of Dermatology, Huashan Hospital, Fudan University, Shanghai, China.
Fudan University · CNHuashan Hospital · CNGuangzhou Institute of Dermatology · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Melanoma is one of the most aggressive cancers. Hypoxic microenvironment affects multiple cellular pathways and contributes to tumor progression. The purpose of the research was to investigate the association between hypoxia and melanoma, and identify the prognostic value of hypoxia-related genes. Based on the GSVA algorithm, gene expression profile collected from The Cancer Genome Atlas (TCGA) was used for calculating the hypoxia score. The Kaplan-Meier plot suggested that a high hypoxia score was correlated with the inferior survival of melanoma patients. Using differential gene expression analysis and WGCNA, a total of 337 overlapping genes associated with hypoxia were determined. Protein-protein interaction network and functional enrichment analysis were conducted, and Lasso Cox regression was performed to establish the prognostic gene signature. Lasso regression showed that seven genes displayed the best features. A novel seven-gene signature (including ABCA12, PTK6, FERMT1, GSDMC, KRT2, CSTA, and SPRR2F) was constructed for prognosis prediction. The ROC curve inferred good performance in both the TCGA cohort and validation cohorts. Therefore, our study determined the prognostic implication of the hypoxia score in melanoma and showed a novel seven-gene signature to predict prognosis, which may provide insights into the prognosis evaluation and clinical decision making.

Indexed as

gene signaturehypoxia scoremelanomaprediction modelprognosis

Identifiers

PMID33133157
PMCPMC7550673
OpenAlexW3089810554

What OpenQuestion holds

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LicenceCC BY
Read underepoch 390

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.