Evidence map›Paper›PMID 34861872›Full record

ArticleBMC medical genomics2021

Identification of the ferroptosis-related long non-coding RNAs signature to improve the prognosis prediction and immunotherapy response in patients with NSCLC.

Meng Li, Yanpeng Zhang, Meng Fan, Hui Ren, Mingwei Chen, Puyu Shi

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

Article in BMC medical genomics, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.

0numbers the graph read from it
0cells of the map it votes in
11citing papers in PubMed
0.9field-weighted citation impact, top 31% 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

11 citing papers in PubMed, 14 citations in OpenAlex.

  1. Review
  2. Review
  3. Review
  4. Article
  5. Article
  6. Review
  7. Article
  8. International journal of general medicine · 2023
    Article
  9. Article
  10. Review
  11. 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 at 2 institutions in 1 country.

Meng Li *Department of Respiratory and Critical Care Medicine, The First Affiliated Hospital of Xi'an Jiao Tong University, No. 277, Yanta West Road, Xi'an, 710061, Shaanxi, China.
Yanpeng Zhang *Department of Talent Highland, The First Affiliated Hospital of Xi'an Jiao Tong University, No. 277, Yanta West Road, Xi'an, 710061, Shaanxi, China.
Meng Fan *Department of Respiratory and Critical Care Medicine, The First Affiliated Hospital of Xi'an Jiao Tong University, No. 277, Yanta West Road, Xi'an, 710061, Shaanxi, China.
Hui RenDepartment of Respiratory and Critical Care Medicine, The First Affiliated Hospital of Xi'an Jiao Tong University, No. 277, Yanta West Road, Xi'an, 710061, Shaanxi, China.
Mingwei ChenDepartment of Respiratory and Critical Care Medicine, The First Affiliated Hospital of Xi'an Jiao Tong University, No. 277, Yanta West Road, Xi'an, 710061, Shaanxi, China. chenmw36@163.com.
Puyu ShiDepartment of Respiratory and Critical Care Medicine, The First Affiliated Hospital of Xi'an Jiao Tong University, No. 277, Yanta West Road, Xi'an, 710061, Shaanxi, China. carrot.0424@163.com.
First Affiliated Hospital of Xi'an Jiaotong University · CNXi'an Jiaotong University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundNon-small cell lung cancer (NSCLC) is the most prevalent type of lung carcinoma with an unfavorable prognosis. Ferroptosis is involved in the development of multiple cancers. Whereas, the prognostic value of ferroptosis-related lncRNAs in NSCLC remains uncertain.

methodsGene expression profiles and clinical information of NSCLC were retrieved from the TCGA database. Ferroptosis-related genes (FRGs) were explored in the FerrDb database and previous studies, ferroptosis-related lncRNAs (FRGs-lncRNAs) were identified by the correlation analysis and the LncTarD database. The differentially expressed FRGs-lncRNAs were screened and FRGs-lncRNAs associated with the prognosis were explored by univariate Cox regression analysis and Kaplan-Meier survival analysis. Then, an FRGs-lncRNAs signature was constructed and verified by the Lasso-penalized Cox analysis. Finally, the potential correlation between risk score, immune checkpoint genes, and chemotherapeutic sensitivity was further investigated.

results129 lncRNAs with a potential regulatory relationship with 59 differentially expressed FRGs were found in NSCLC, of which 10 were related to the prognosis of NSCLC (P < 0.05). 9 prognostic-related FRGs-lncRNAs were used to construct the prognostic model and stratify NSCLC patients into high- and low-risk groups. A worse outcome was found in patients with high risk (P < 0.05). Moreover, a good predictive capacity of this signature in predicting NSCLC prognosis was confirmed. Additionally, 45 immune checkpoint genes and 4 chemotherapeutics drugs for NSCLC were identified to be correlated with the risk score.

conclusionA novel FRGs-lncRNAs signature was successfully constructed, which may contribute to improving the management strategies of NSCLC.

Indexed as

Carcinoma, Non-Small-Cell LungFerroptosisLung NeoplasmsRNA, Long NoncodingBiomarkers, TumorHumansImmunotherapyPrognosisBiomarkers, TumorRNA, Long NoncodingFerroptosisLong non-coding RNAsNon-small cell lung cancerPrognosticSignature

Identifiers

PMID34861872
PMCPMC8642916
OpenAlexW3216332946

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

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.