Evidence map›Paper›PMID 30516029›Full record

ArticleCancer medicine2019

Construction of immune-related risk signature for renal papillary cell carcinoma.

Zhongyu Wang, Qian Song, Zuyi Yang, Jianing Chen, Jun Shang, Wen Ju

Open access · goldAbstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Cancer medicine, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 41 papers.

0numbers the graph read from it
0cells of the map it votes in
41citing papers in PubMed
12.1field-weighted citation impact, top 1% 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

41 citing papers in PubMed, 85 citations in OpenAlex.

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  15. Identification of core miRNA prognostic markers in patients with laryngeal cancer using bioinformatics analysis.European archives of oto-rhino-laryngology : official journal of the European Federation of Oto-Rhino-Laryngological Societies (EUFOS) : affiliated with the German Society for Oto-Rhino-Laryngology - Head and Neck Surgery · 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 4 institutions in 1 country.

Zhongyu WangDepartment of Urology, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei Province, China.
Qian SongDepartment of Medical Oncology, Fudan University Shanghai Cancer Center, Shanghai, China.
Zuyi YangDepartment of Hematology, The First Affiliated Hospital of Soochow University, Suzhou, China.
Jianing ChenDepartment of Hematology, The First Affiliated Hospital of Soochow University, Suzhou, China.
Jun ShangDepartment of Thoracic and Cardiovascular Surgery, The First Affiliated Hospital of Guangxi Medical University, Nanning, China.ORCID 0000-0002-5767-1492
Wen JuDepartment of Urology, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei Province, China.
Soochow University · CNUnion Hospital · CNGuangxi Medical University · CNShanghai Medical College of Fudan University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The kidney renal papillary cell carcinoma (KIRP) is a relatively rare type of kidney cancer. There has been no investigation to find a robust signature to predict the survival outcome of KIRP patients in the aspect of tumor immunology. In this study, 285 KIRP samples from The Cancer Genome Atlas (TCGA) were randomly divided into training and testing set. A total of 1534 immune-related genes from The Immunology Database and Analysis Portal (ImmPort) were used as candidates to construct the signature. Using univariate Cox analysis, we evaluated the relationship between overall survival and immune-related genes expression and found 272 immune-related genes with predicting prognostic ability. In order to construct an efficient predictive model, the Cox proportional hazards model with an elastic-net penalty was used and identified 23 groups after 1000 iterations. As a result, 15-genes model showing more stable than other gene groups was chosen to construct our immune-related risk signature. In line with our expectations, the signature can independently predict the survival outcome of KIRP patients. Patients with high-immune risk were found correlated with advanced stage. We also found that the high-immune risk patients with higher PBRM1 and SETD2 mutations, increasing chromosomal instability, together with the gene set enrichment analysis (GSEA) results showing intensive connection of our signature with immune pathways. In conclusion, our study constructs a robust 15-gene signature for predicting KIRP patients' survival outcome on the basis of tumor immune environment and may provide possible relationship between prognosis and immune-related biological function.

Indexed as

Carcinoma, Renal CellFemaleGene Expression Regulation, NeoplasticHumansKaplan-Meier EstimateKidney NeoplasmsMaleMiddle AgedRisk FactorsTranscriptomeelastic netpapillary renal cell cancerprognosistumor immunology

Identifiers

PMID30516029
PMCPMC6346237
OpenAlexW2902995197

What OpenQuestion holds

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LicenceCC BY
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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.