Evidence map›Paper›PMID 39730971›Full record

ArticleJournal of cellular and molecular medicine2024

A Neutrophil Extracellular Traps-Related Signature Predicts Clinical Outcomes and Identifies Immune Landscape in Ovarian Cancer.

Yue Zhang, Chao Wang, Shanshan Cheng, Yanna Xu, Sijia Gu, Yaqian Zhao, Jiani Yang, Yu Wang

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Journal of cellular and molecular medicine, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing 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

8 citing papers in PubMed.

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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

8 authors.

Yue ZhangDepartment of Gynecology, School of Medicine, Shanghai First Maternity and Infant Hospital, Tongji University, Shanghai, China.
Chao WangDepartment of Gynecology, School of Medicine, Shanghai First Maternity and Infant Hospital, Tongji University, Shanghai, China.
Shanshan ChengDepartment of Gynecology, School of Medicine, Shanghai First Maternity and Infant Hospital, Tongji University, Shanghai, China.
Yanna XuDepartment of Gynecology, School of Medicine, Shanghai First Maternity and Infant Hospital, Tongji University, Shanghai, China.
Sijia GuDepartment of Obstetrics and Gynecology, School of Medicine, Renji Hospital, Shanghai Jiaotong University, Shanghai, China.
Yaqian ZhaoDepartment of Gynecology, School of Medicine, Shanghai First Maternity and Infant Hospital, Tongji University, Shanghai, China.
Jiani YangDepartment of Gynecology, School of Medicine, Shanghai First Maternity and Infant Hospital, Tongji University, Shanghai, China.
Yu WangDepartment of Gynecology, School of Medicine, Shanghai First Maternity and Infant Hospital, Tongji University, Shanghai, China.ORCID 0000-0002-8683-6196

Funding

National Natural Science Foundation of China 82303652Science and Technology Commission of Shanghai Municipality 23YF1433600
6 · The paper itself

Abstract

Ovarian cancer (OvCa) is the most lethal gynaecology malignancies worldwide. Neutrophil extracellular traps (NETs), net-like protein structures produced by activated neutrophils and DNA-histone complexes, have a central role in tumours, though haven't been fully explored in OvCa. We obtained transcriptome data from TCGA-OvCa database (n = 376) as training, ICGC-OvCa database (n = 111) as validation and GTEx database (n = 180) as controls. Through LASSO-COX Regression analysis, we identified an eight-gene signature among 87 NETs-related genes, which was significantly related to poor prognosis in both TCGA-OvCa and ICGC-OvCa cohorts (Log-rank p-value = 0.0003 and 0.0014). Next, we constructed and validated a prognostic nomogram, consist of NETs-related signature and clinical features (C-index = 0.82). We evaluated 22 typical immune cell infiltration through CIBERSORT analysis, which implied upregulation of memory CD4 + T cells, follicular helper T cells and neutrophils in high-risk group. Additionally, we predicted therapy sensitivity through TIDE algorithm, indicating that high NETs-riskscore exhibited more sensitivity towards Sorafenib and less sensitivity towards immunotherapy. We initially reported that RAC2 upregulation was associated with NETs formation and poor prognosis (p-value < 0.05) through IHC analysis of tissue microarrays (n = 125). Conclusively, NETs-related signature was reliable for OvCa prognosis prediction and therapy assessment. Especially, RAC2 was predominantly related to NETs formation, thus providing hints towards anti-tumour mechanism of NETs in OvCa.

Indexed as

Extracellular TrapsGene Expression Regulation, NeoplasticNeutrophilsOvarian NeoplasmsBiomarkers, TumorFemaleGene Expression ProfilingHumansMiddle AgedNomogramsPrognosisTranscriptomeTumor MicroenvironmentBiomarkers, Tumorneutrophil extracellular trapsovarian cancerprognostic signatureRAC2tumour immune landscape

Identifiers

PMID39730971
PMCPMC11680186

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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.