Evidence map›Paper›PMID 39262456›Full record

ArticleTranslational cancer research2024

Bioinformatic prediction of miR-320a as a potential negative regulator of CDGSH iron-sulfur domain 2 (

Xiaoxi Zhao, Lei Li, Yancheng Li, Yanxiao Liu, Hua Wang, Nika Samadzadeh Tabrizi, Zhou Ye, Ziru Zhao

Abstract read
In one paragraph

Article in Translational cancer research, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Article
  2. [Mechanisms of Exosomes in Lung Cancer Bone Metastasis and Related Clinical Advances].Zhongguo fei ai za zhi = Chinese journal of lung cancer · 2025
    Review
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.

Xiaoxi ZhaoDepartment of Ultrasound Medicine, Quzhou People's Hospital, Quzhou, China.
Lei LiDepartment of Spinal Surgery, Quzhou People's Hospital, Quzhou, China.
Yancheng LiDepartment of Spinal Surgery, Quzhou People's Hospital, Quzhou, China.
Yanxiao LiuDepartment of Spinal Surgery, Quzhou People's Hospital, Quzhou, China.
Hua WangDepartment of Spinal Surgery, Quzhou People's Hospital, Quzhou, China.
Nika Samadzadeh TabriziDepartment of Thoracic Surgery, Albany Medical Center, Albany, NY, USA.
Zhou YeDepartment of Spinal Surgery, Quzhou People's Hospital, Quzhou, China.
Ziru ZhaoDepartment of Spinal Surgery, Quzhou People's Hospital, Quzhou, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Ferroptosis, a form of regulated cell death associated with iron-dependent lipid peroxidation, plays a role in cancer progression. However, the specific mechanisms of ferroptosis in lung adenocarcinoma (LUAD) bone metastasis (BM) remain unclear. Using bioinformatics analysis, this study sought to identify the ferroptosis-associated genes involved in BM in LUAD, thus providing potential novel targets for the treatment of BM in LUAD. Methods: The RNA expression dataset GSE10799 was acquired from the Gene Expression Omnibus (GEO) database, and intersected with the ferroptosis dataset to identify ferroptosis-related differentially expressed genes (DEGs). The expression of candidate genes and their correlation with the prognosis of LUAD patients were validated in The Cancer Genome Atlas (TCGA) database. A protein gene interaction network was constructed using GeneMania and Retrieval of Interacting Genes/Proteins (STRING) databases. The association between the candidate genes and immune cells was assessed via TCGA and Tumor IMmune Estimation Resource (TIMER) databases. The potential mechanisms were elucidated by a gene set enrichment analysis (GSEA). The relevant microRNAs (miRNAs or miRs) that bind to the 3'untranslated region (3'UTR) end of candidate genes' mRNA was explored using the TargetScan database. The expression of these candidate miRNAs in LUAD was validated and the correlation between candidate miRNAs and candidate mRNAs was tested using the TCGA database. Finally, the clinical data of 40 LUAD patients were retrospectively analyzed to evaluate the clinical value of candidate gene expression for LUAD BM patients. Results: In this research, 15 ferroptosis-related DEGs in LUAD BM were identified. TCGA database analysis indicated that patients with low levels of CDGSH iron-sulfur domain 2 ( Conclusions: The downregulation of

Indexed as

bioinformatics analysisbone metastasis (BM)ferroptosisLung adenocarcinoma (LUAD)prognosis

Identifiers

PMID39262456
PMCPMC11385248

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.