Evidence map›Paper›PMID 32820615›Full record

ArticleJournal of cellular and molecular medicine2020

Development of a prognostic gene signature based on an immunogenomic infiltration analysis of osteosarcoma.

Yiyang Yu, Hongliang Zhang, Tingting Ren, Yi Huang, Xin Liang, Wei Wang, Jianfang Niu, Yu Han, Wei Guo

Open access · goldAbstract read
In one paragraph

Article in Journal of cellular and molecular medicine, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 26 papers.

0numbers the graph read from it
0cells of the map it votes in
26citing papers in PubMed
1.3field-weighted citation impact, top 21% 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

26 citing papers in PubMed, 26 citations in OpenAlex.

  1. Review
  2. Review
  3. Review
  4. Review
  5. Review
  6. Developing a 3D bone model of osteosarcoma to investigate cancer mechanisms and evaluate treatments.FASEB journal : official publication of the Federation of American Societies for Experimental Biology · 2024
    Article
  7. Review
  8. Article
  9. Article
  10. Article
  11. Strategies to Overcome Resistance to Immune-Based Therapies in Osteosarcoma.International journal of molecular sciences · 2023
    Review
  12. Review
  13. Immunotherapeutic Strategies in the Management of Osteosarcoma.Journal of orthopaedics and sports medicine · 2023
    Article
  14. Review
  15. Article
  16. Article
  17. Article
  18. Novel Immunotherapies for Osteosarcoma.Frontiers in oncology · 2022
    Review
  19. Article
  20. 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

9 authors at 2 institutions in 1 country.

Yiyang YuMusculoskeletal Tumor Center, Peking University People's Hospital, Beijing, China.ORCID 0000-0001-7594-1401
Hongliang ZhangMusculoskeletal Tumor Center, Peking University People's Hospital, Beijing, China.
Tingting RenMusculoskeletal Tumor Center, Peking University People's Hospital, Beijing, China.
Yi HuangMusculoskeletal Tumor Center, Peking University People's Hospital, Beijing, China.
Xin LiangMusculoskeletal Tumor Center, Peking University People's Hospital, Beijing, China.
Wei WangMusculoskeletal Tumor Center, Peking University People's Hospital, Beijing, China.
Jianfang NiuMusculoskeletal Tumor Center, Peking University People's Hospital, Beijing, China.
Yu HanDepartment of Orthopaedics, the First Affiliated Hospital of Zhengzhou University, Zhengzhou, China.
Wei GuoMusculoskeletal Tumor Center, Peking University People's Hospital, Beijing, China.
Peking University · CNFirst Affiliated Hospital of Zhengzhou University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Osteosarcoma is the most common primary malignant bone tumour predominantly occurring in children and adolescents with a high tendency of local invasion and early metastases. Currently, tumour immune microenvironment (TME) is becoming the focus of studying of malignant tumours.. However, no sound evidence shows a specific immune molecular target in osteosarcoma. We downloaded the gene expression profile and clinical data of osteosarcoma from the TARGET portal, and extracted and normalized via R software. Then, the immune cell infiltration assessed by CIBERSORT and ESTIMATE algorithms. Three survival-related immune cells and immune score were obtained via Kaplan-Meier survival analysis, and 232 immune-related genes were obtained as candidate genes. Enrichment and protein-protein interaction co-expression analyses were performed to identify 13 hub genes. Lastly, a seven gene prognostic signature was identified by univariate and multivariate Cox regression analyses. More importantly, our validations and TIMER algorithm suggested this immune-related prognostic signature a good predictive tool. Our findings have provided novel insights that could demonstrate new targets of immunotherapy in osteosarcoma.

Indexed as

Gene Expression ProfilingGene Expression Regulation, NeoplasticCell SurvivalChemokine CXCL11Chemokine CXCL9Disease-Free SurvivalGene OntologyGene Regulatory NetworksHumansModels, GeneticOsteosarcomaPrognosisReceptors, CXCR3Reproducibility of ResultsSignal TransductionChemokine CXCL11Chemokine CXCL9CXCL11 protein, humanCXCL9 protein, humanCXCR3 protein, humanReceptors, CXCR3bioinformaticsimmunotherapyosteosarcomaprognostic

Identifiers

PMID32820615
PMCPMC7576232
OpenAlexW3095205193

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.