Evidence map›Paper›PMID 35847354›Full record

ArticleJournal of oncology2022

A Newly Established Cuproptosis-Associated Long Non-Coding RNA Signature for Predicting Prognosis and Indicating Immune Microenvironment Features in Soft Tissue Sarcoma.

Jun Han, Yunxiang Hu, Sanmao Liu, Jian Jiang, Hong Wang

Open access · hybridAbstract read
In one paragraph

Article in Journal of oncology, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 40 papers.

0numbers the graph read from it
0cells of the map it votes in
40citing papers in PubMed
5.8field-weighted citation impact, top 3% 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

40 citing papers in PubMed, 61 citations in OpenAlex.

  1. Article
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  8. CuPCA: a web server for pan-cancer association analysis of large-scale cuproptosis-related genes.Database : the journal of biological databases and curation · 2024
    Article
  9. Review
  10. Mechanisms of cuproptosis and its relevance to distinct diseases.Apoptosis : an international journal on programmed cell death · 2024
    Review
  11. Article
  12. Cuprotosis clusters predict prognosis and immunotherapy response in low-grade glioma.Apoptosis : an international journal on programmed cell death · 2024
    Article
  13. Article
  14. Article
  15. Article
  16. Article
  17. Article
  18. Review
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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

5 authors at 1 institution in 1 country.

Jun HanDepartment of Orthopedics, Dalian Municipal Central Hospital Affiliated of Dalian Medical University, No. 826, Southwestern Road, Shahekou District, Dalian, Liaoning Province 116021, China.
Yunxiang HuDepartment of Orthopedics, Dalian Municipal Central Hospital Affiliated of Dalian Medical University, No. 826, Southwestern Road, Shahekou District, Dalian, Liaoning Province 116021, China.
Sanmao LiuDepartment of Orthopedics, Dalian Municipal Central Hospital Affiliated of Dalian Medical University, No. 826, Southwestern Road, Shahekou District, Dalian, Liaoning Province 116021, China.
Jian JiangDepartment of Orthopedics, Dalian Municipal Central Hospital Affiliated of Dalian Medical University, No. 826, Southwestern Road, Shahekou District, Dalian, Liaoning Province 116021, China.
Hong WangDepartment of Orthopedics, Dalian Municipal Central Hospital Affiliated of Dalian Medical University, No. 826, Southwestern Road, Shahekou District, Dalian, Liaoning Province 116021, China.ORCID https://orcid.org/0000-0002-6388-6895
Dalian Medical University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Cuproptosis, a new type of programmed cell death, is involved in the development and progression of malignancies. The study of cuproptosis-associated long non-coding RNAs (lncRNAs) in soft tissue sarcomas (STSs) is however limited. There is also uncertainty regarding the prognostic accuracy of cuproptosis-associated lncRNAs in STSs and their relationship to the tumor immune microenvironment. The aim of this study was to determine the prognostic significance of cuprotosis-associated lncRNAs in STSs and their relationship to the tumor immune microenvironment. Transcriptomic and clinical data from patients with STSs were obtained through The Cancer Genome Atlas (TCGA). Overall, 259 patients were randomly allocated to a training group or a testing group. In the training group, a cuproptosis-associated lncRNA signature was constructed, and the signature was verified in the testing group. On the basis of risk scores and clinical features, we later developed a hybrid nomogram. We also performed functional and tumor immune microenvironment analysis based on the cuproptosis-associated lncRNA signature. A signature of 5 cuproptosis-associated lncRNAs was created. Based on this signature, we categorized STS patients into high-risk and low-risk groups. The study showed that patients at high risk had a worse prognosis than those at low risk. A nomogram was then constructed combining clinical characteristics with the risk scores, and it was shown to have credible predictive power. Functional enrichment and tumor immune microenvironmental analyses showed that high-risk STSs tend to be immunologically sensitive tumors. In our study, we found a cuproptosis-associated lncRNAs signature, which serves as an independent prognostic indicator. Cuproptosis-associated lncRNAs may play a role in the tumor immune microenvironment, which might be a therapeutic target for patients with STSs.

Identifiers

PMID35847354
PMCPMC9279026
OpenAlexW4284879486

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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.