Evidence map›Paper›PMID 33543590›Full record

ArticleJournal of cellular and molecular medicine2021

Development and verification of an immune-related gene pairs prognostic signature in ovarian cancer.

Bao Zhang, Xiaocui Nie, Xinxin Miao, Shuo Wang, Jing Li, Shengke Wang

Abstract read
In one paragraph

Article in Journal of cellular and molecular medicine, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers.

0numbers the graph read from it
0cells of the map it votes in
16citing 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

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

16 citing papers in PubMed.

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  16. An Oxidative Stress-Related Gene Pair (Frontiers in immunology · 2021
    Article
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.

Bao ZhangDepartment of Obstetrics and Gynecology, Shengjing Hospital of China Medical University, Shenyang, China.
Xiaocui NieDepartment of Obstetrics and Gynecology, Shenyang women's and children's hospital, Shenyang, China.
Xinxin MiaoDepartment of Obstetrics and Gynecology, Shengjing Hospital of China Medical University, Shenyang, China.
Shuo WangDepartment of Obstetrics and Gynecology, Shengjing Hospital of China Medical University, Shenyang, China.
Jing LiDepartment of Obstetrics and Gynecology, Shengjing Hospital of China Medical University, Shenyang, China.
Shengke WangDepartment of Obstetrics and Gynecology, Shengjing Hospital of China Medical University, Shenyang, China.ORCID 0000-0002-5863-5012

Funding

science and technology project of Shenyang 2019-ZD-0984
6 · The paper itself

Abstract

Ovarian cancer (OV) is the most common gynaecological cancer worldwide. Immunotherapy has recently been proven to be an effective treatment strategy. The work here attempts to produce a prognostic immune-related gene pair (IRGP) signature to estimate OV patient survival. The Gene Expression Omnibus (GEO) and Cancer Genome Atlas (TCGA) databases provided the genetic expression profiles and clinical data of OV patients. Based on the InnateDB database and the least absolute shrinkage and selection operator (LASSO) regression model, we first identified a 17-IRGP signature associated with survival. The average area under the curve (AUC) values of the training, validation, and all TCGA sets were 0.869, 0.712, and 0.778, respectively. The 17-IRGP signature noticeably split patients into high- and low-risk groups with different prognostic outcomes. As suggested by a functional study, some biological pathways, including the Toll-like receptor and chemokine signalling pathways, were significantly negatively correlated with risk scores; however, pathways such as the p53 and apoptosis signalling pathways had a positive correlation. Moreover, tumour stage III, IV, grade G1/G2, and G3/G4 samples had significant differences in risk scores. In conclusion, an effective 17-IRGP signature was produced to predict prognostic outcomes in OV, providing new insights into immunological biomarkers.

Indexed as

Biomarkers, TumorGene Expression Regulation, NeoplasticAdolescentAdultAgedAged, 80 and overChildChild, PreschoolComputational BiologyDatabases, GeneticFemaleGene Expression ProfilingHumansImmunityInfantInfant, NewbornBiomarkers, Tumorbioinformaticsimmune-related gene pairsovarian cancerprognostic signatureTCGA

Identifiers

PMID33543590
PMCPMC7957197

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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.