Evidence map›Paper›PMID 34930258›Full record

ArticleCancer cell international2021

Comprehensive analysis identifies IFI16 as a novel signature associated with overall survival and immune infiltration of skin cutaneous melanoma.

Hanwen Wang, Xiaoxia Xie, Junyou Zhu, Shaohai Qi, Julin Xie

Open access · goldAbstract read
In one paragraph

Article in Cancer cell international, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
0.7field-weighted citation impact, top 26% 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

5 citing papers in PubMed, 7 citations in OpenAlex.

  1. Review
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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

5 authors at 1 institution in 1 country.

Hanwen Wang *Department of Burn Surgery, The First Affiliated Hospital of Sun Yat-Sen University, Guangzhou, 510080, Guangdong, People's Republic of China.
Xiaoxia Xie *Department of Burn Surgery, The First Affiliated Hospital of Sun Yat-Sen University, Guangzhou, 510080, Guangdong, People's Republic of China.
Junyou ZhuDepartment of Burn Surgery, The First Affiliated Hospital of Sun Yat-Sen University, Guangzhou, 510080, Guangdong, People's Republic of China.
Shaohai QiDepartment of Burn Surgery, The First Affiliated Hospital of Sun Yat-Sen University, Guangzhou, 510080, Guangdong, People's Republic of China. qishaohaigzburns@163.com.
Julin XieDepartment of Burn Surgery, The First Affiliated Hospital of Sun Yat-Sen University, Guangzhou, 510080, Guangdong, People's Republic of China. xiejulin@mail.sysu.edu.cn.ORCID http://orcid.org/0000-0002-0076-038X
Sun Yat-sen University · CN

Funding

National Natural Science Foundation of China 81871566National Natural Science Foundation of China 82072178
6 · The paper itself

Abstract

backgroundSkin cutaneous melanoma (SKCM) is the most common skin tumor with high mortality. The unfavorable outcome of SKCM urges the discovery of prognostic biomarkers for accurate therapy. The present study aimed to explore novel prognosis-related signatures of SKCM and determine the significance of immune cell infiltration in this pathology.

methodsFour gene expression profiles (GSE130244, GSE3189, GSE7553 and GSE46517) of SKCM and normal skin samples were retrieved from the GEO database. Differentially expressed genes (DEGs) were then screened, and the feature genes were identified by the LASSO regression and Boruta algorithm. Survival analysis was performed to filter the potential prognostic signature, and GEPIA was used for preliminary validation. The area under the receiver operating characteristic curve (AUC) was obtained to evaluate discriminatory ability. The Gene Set Variation Analysis (GSVA) was performed, and the composition of the immune cell infiltration in SKCM was estimated using CIBERSORT. At last, paraffin-embedded specimens of primary SKCM and normal skin tissues were collected, and the signature was validated by fluorescence in situ hybridization (FISH) and immunohistochemistry (IHC).

resultsTotally 823 DEGs and 16 feature genes were screened. IFI16 was identified as the signature associated with overall survival of SKCM with a great discriminatory ability (AUC > 0.9 for all datasets). GSVA noticed that IFI16 might be involved in apoptosis and ultraviolet response in SKCM, and immune cell infiltration of IFI16 was evaluated. At last, FISH and IHC both validated the differential expression of IFI16 in SKCM.

conclusionsIn conclusion, our comprehensive analysis identified IFI16 as a signature associated with overall survival and immune infiltration of SKCM, which may play a critical role in the occurrence and development of SKCM.

Indexed as

BioinformaticsFeature selection algorithmIFI16Prognostic signatureSkin cutaneous melanoma

Identifiers

PMID34930258
PMCPMC8690488
OpenAlexW4200351982

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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.