Evidence map›Paper›PMID 36129020›Full record

ArticleCancer medicine2023

Construction of a cuproptosis-related lncRNA signature for predicting prognosis and immune landscape in osteosarcoma patients.

Shumin Ni, Jinjiong Hong, Weilong Li, Meng Ye, Jinyun Li

Abstract read
In one paragraph

Article in Cancer medicine, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.

0numbers the graph read from it
0cells of the map it votes in
10citing 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

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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

10 citing papers in PubMed.

  1. Musculoskeletal disorders: does cuproptosis hold the key?Frontiers in cell and developmental biology · 2026
    Review
  2. Review
  3. Article
  4. Article
  5. Cuproptosis and its potential role in musculoskeletal disease.Frontiers in cell and developmental biology · 2025
    Review
  6. Article
  7. Article
  8. Review
  9. Article
  10. 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

5 authors.

Shumin NiDepartment of Oncology and Hematology, The Affiliated Hospital of Medical School of Ningbo University, Ningbo, China.
Jinjiong HongDepartment of Hand Surgery, Department of Plastic Reconstructive Surgery, Ningbo No. 6 Hospital, Ningbo, China.
Weilong LiDepartment of Orthopedic Surgery, Beilun District People's Hospital, Ningbo, China.
Meng YeDepartment of Oncology and Hematology, The Affiliated Hospital of Medical School of Ningbo University, Ningbo, China.
Jinyun LiDepartment of Oncology and Hematology, The Affiliated Hospital of Medical School of Ningbo University, Ningbo, China.ORCID 0000-0001-5286-3076

Funding

Wellcome Trust 202204
6 · The paper itself

Abstract

backgroundLong noncoding RNAs (lncRNAs) influence the onset of osteosarcoma. Cuproptosis is a novel cell death mechanism. We attempted to identify a cuproptosis-related lncRNA signature to predict the prognosis and immune landscape in osteosarcoma patients.

methodsTranscriptional and clinical data of 85 osteosarcoma patients were derived from the TARGET database and randomly categorized into the training and validation cohorts. We implemented the univariate and multivariate Cox regression, along with LASSO regression analyses for developing a cuproptosis-related lncRNA risk model. Kaplan-Meier curves, C-index, ROC curves, univariate and multivariate Cox regression, and nomogram were used to assess the capacity of this risk model to predict the osteosarcoma prognosis. Gene ontology, KEGG, and Gene Set Enrichment (GSEA) analyses were conducted for determining the potential functional differences existing between the high-risk and low-risk patients. We further conducted the ESTIMATE, single-smaple GSEA, and CIBERSORT analyses for identifying the different immune microenvironments and immune cells infiltrating both the risk groups.

resultsWe screened out four cuproptosis-related lncRNAs (AL033384.2, AL031775.1, AC110995.1, and LINC00565) to construct the risk model in the training cohort. This risk model displayed a good performance to predict the overall survival of osteosarcoma patients, which was confirmed by using the validation and the entire cohort. Further analyses showed that the low-risk patients have more immune activation and immune cells infiltrating as well as a good response to immunotherapy.

conclusionsWe developed a novel cuproptosis-related lncRNA signature with high reliability and accuracy for predicting outcome and immunotherapy response in osteosarcoma patients, which provides new insights into the personalized treatment of osteosarcoma.

Indexed as

ApoptosisBone NeoplasmsOsteosarcomaRNA, Long NoncodingCopperHumansPrognosisReproducibility of ResultsTumor MicroenvironmentCopperRNA, Long Noncodingcuproptosisimmunotherapylong non-coding RNAosteosarcomaprognosis

Identifiers

PMID36129020
PMCPMC9972154

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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.