Evidence map›Paper›PMID 34257164›Full record

ArticleAging2021

A innovative prognostic symbol based on neutrophil extracellular traps (NETs)-related lncRNA signature in non-small-cell lung cancer.

Chen Fang, Fen Liu, Yong Wang, Shangkun Yuan, Renfang Chen, Xiaotong Qiu, Xiaoying Qian, Xinwei Zhang, Zhehao Xiao, Qian Wang and 2 more

Open access · greenAbstract read
In one paragraph

Article in Aging, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 30 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
30citing papers in PubMed, 1 pooled it
2.4field-weighted citation impact, top 11% 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

30 citing papers in PubMed, 1 synthesis or guideline pooled it, 37 citations in OpenAlex.

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  13. Neutrophil extracellular traps in homeostasis and disease.Signal transduction and targeted therapy · 2024
    Review
  14. Neutrophil extracellular trap related risk score exhibits crucial prognostic value in skin cutaneous melanoma, associating with distinct immune characteristics.Skin research and technology : official journal of International Society for Bioengineering and the Skin (ISBS) [and] International Society for Digital Imaging of Skin (ISDIS) [and] International Society for Skin Imaging (ISSI) · 2024
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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

12 authors at 2 institutions in 1 country.

Chen FangDepartment of Medical Oncology, The First Affiliated Hospital of Nanchang University, Nanchang 330000, China.
Fen LiuCritical Care Medicine, The First Affiliated Hospital of Nanchang University, Nanchang 330000, China.
Yong WangDepartment of Medical Oncology, The First Affiliated Hospital of Nanchang University, Nanchang 330000, China.
Shangkun YuanDepartment of Medical Oncology, The First Affiliated Hospital of Nanchang University, Nanchang 330000, China.
Renfang ChenDepartment of Medical Oncology, The First Affiliated Hospital of Nanchang University, Nanchang 330000, China.
Xiaotong QiuDepartment of Medical Oncology, The First Affiliated Hospital of Nanchang University, Nanchang 330000, China.
Xiaoying QianDepartment of Medical Oncology, The First Affiliated Hospital of Nanchang University, Nanchang 330000, China.
Xinwei ZhangDepartment of Medical Oncology, The First Affiliated Hospital of Nanchang University, Nanchang 330000, China.
Zhehao XiaoDepartment of Medical Oncology, The First Affiliated Hospital of Nanchang University, Nanchang 330000, China.
Qian WangDepartment of Medical Oncology, The First Affiliated Hospital of Nanchang University, Nanchang 330000, China.
Biqi FuDepartment of Rheumatology, The First Affiliated Hospital of Nanchang University, Nanchang 330000, China.
Yong LiDepartment of Medical Oncology, The First Affiliated Hospital of Nanchang University, Nanchang 330000, China.
First Affiliated Hospital of Nanchang University · CNNanchang University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Neutrophil extracellular traps (NETs) are closely related to cancer progression. NETs-related lncRNAs play crucial roles in non-small-cell lung cancer (NSCLC) but there have been no systematic studies regarding NETs-related long noncoding RNA (lncRNA) signatures to forecast the prognosis of NSCLC patients. It's essential to build commensurate NETs-related lncRNA signatures. The expression profiles of prognostic mRNAs and lncRNAs and relevant clinical data of NSCLC patients were downloaded from The Cancer Genome Atlas (TCGA) database. The NETs-related genes came from the results of our transcriptome RNA microarray data. The co-expression network of lncRNAs and NETs-related genes was structured to confirm NETs-related lncRNAs. The 19 lncRNAs correlated with overall survival (OS) were selected by exploiting univariate Cox regression (

Indexed as

PrognosisAdultAgedAged, 80 and overBiomarkers, TumorCarcinoma, Non-Small-Cell LungComputational BiologyExtracellular SpaceExtracellular TrapsFemaleGene Expression Regulation, NeoplasticHumansKaplan-Meier EstimateLung NeoplasmsMaleMiddle AgedBiomarkers, TumorRNA, Long NoncodinglncRNAneutrophil extracellular trapsnon-small-cell lung cancerprognosis

Identifiers

PMID34257164
PMCPMC8312458
OpenAlexW3179394167

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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.