Evidence map›Paper›PMID 38228673›Full record

ArticleScientific reports2024

A novel aging-associated lncRNA signature for predicting prognosis in osteosarcoma.

Yi He, Xiao Huang, Yajie Ma, Guohui Yang, Yuqing Cui, Xuefeng Lv, Rongling Zhao, Huifang Jin, Yalin Tong, Xinyu Zhang and 2 more

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

Article in Scientific reports, 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
1.1field-weighted citation impact, top 24% 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

2 citing papers in PubMed, 4 citations in OpenAlex.

  1. Review
  2. 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

12 authors at 4 institutions in 1 country.

Yi He *Department of Mini-Invasive Spinal Surgery, The Third People's Hospital of Henan Province, Zhengzhou, 450006, Henan, China.
Xiao Huang *Department of Clinical Laboratory, Luohe Central Hospital, Luohe, 462300, Henan, China.
Yajie Ma *Department of Medical Affair, The Third People's Hospital of Henan Province, Zhengzhou, 450006, Henan, China.
Guohui YangDepartment of Emergency Surgery, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, 450052, Henan, China.
Yuqing CuiGeneral ICU, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, 450052, Henan, China.
Xuefeng LvDepartment of Clinical Laboratory, The Third Affiliated Hospital of Zhengzhou University, Zhengzhou, 450052, Henan, China.
Rongling ZhaoDepartment of Clinical Laboratory, The Third People's Hospital of Henan Province, Zhengzhou, 450006, Henan, China.
Huifang JinDepartment of Blood Transfusion, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, 450052, Henan, China.
Yalin TongDepartment of Digestion, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, 450052, Henan, China.
Xinyu ZhangDepartment of Medical Affair, The Third People's Hospital of Henan Province, Zhengzhou, 450006, Henan, China.
Jitian LiHenan Luoyang Orthopedic Hospital (Henan Provincial Orthopedic Hospital), Henan Provincial Orthopedic Institute, Henan University of Chinese Medicine, 100 Yongping Road, Zhengzhou, 450000, Henan, China. jitianlee@hotmail.com.
Mengle PengDepartment of Clinical Laboratory, The Third People's Hospital of Henan Province, Zhengzhou, 450006, Henan, China. pengmengle1990@126.com.
First Affiliated Hospital of Zhengzhou University · CNThird Affiliated Hospital of Zhengzhou University · CNHenan University · CNLuohe Medical College · CN

Funding

Key and promotion special project of Henan Province 232102311046
6 · The paper itself

Abstract

Osteosarcoma (OS) is one of the most prevalent bone tumors in adolescents, and the correlation between aging and OS remains unclear. Currently, few accurate and reliable biomarkers have been determined for OS prognosis. To address this issue, we carried out a detailed bioinformatics analysis based on OS with data from the Cancer Genome Atlas data portal and Human Aging Genomic Resources database, as well as in vitro experiments. A total of 88 OS samples with gene expression profiles and corresponding clinical characteristics were obtained. Through univariate Cox regression analysis and survival analysis, 10 aging-associated survival lncRNAs (AASRs) were identified to be associated with the overall survival of OS patients. Based on the expression levels of the 10 AASRs, the OS patients were classified into two clusters (Cluster A and Cluster B). Cluster A had a worse prognosis, while Cluster B had a better prognosis. Then, 5 AASRs were ultimately included in the signature through least absolute shrinkage and selection operator-Cox regression analysis. Kaplan‒Meier survival analysis verified that the high-risk group exhibited a worse prognosis than the low-risk group. Furthermore, univariate and multivariate Cox regression analyses confirmed that the riskScore was an independent prognostic factor for OS patients. Subsequently, we discovered that the risk signature was correlated with the properties of the tumor microenvironment and immune cell infiltration. Specifically, there was a positive association between the risk model and naïve B cells, resting dendritic cells and gamma delta T cells, while it was negatively related to CD8

Indexed as

Bone NeoplasmsOsteosarcomaRNA, Long NoncodingAdolescentAgingCD8-Positive T-LymphocytesHumansNetrin ReceptorsPrognosisTumor MicroenvironmentNetrin ReceptorsRNA, Long NoncodingUNC5B protein, human

Identifiers

PMID38228673
PMCPMC10791644
OpenAlexW4390919050

What OpenQuestion holds

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LicenceCC BY
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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.