Evidence map›Paper›PMID 34430620›Full record

ArticleAnnals of translational medicine2021

Identification of MAP3K15 as a potential prognostic biomarker and correlation with immune infiltrates in osteosarcoma.

Zhuning Chen, Haoran Kong, Zhaopeng Cai, Keng Chen, Boyang Wu, Haonan Li, Peng Wang, Yanfeng Wu, Huiyong Shen

Open access · diamondAbstract read
In one paragraph

Article in Annals of translational medicine, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
0.5field-weighted citation impact, top 39% 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

4 citing papers in PubMed, 6 citations in OpenAlex.

  1. Article
  2. Article
  3. Zoledronic acid induces ferroptosis by upregulating POR in osteosarcoma.Medical oncology (Northwood, London, England) · 2023
    Article
  4. 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 3 institutions in 1 country.

Zhuning ChenDepartment of Orthopedics, Sun Yat-sen Memorial Hospital, Sun Yat-sen University, Guangzhou, China.
Haoran KongDepartment of Orthopedics, Sun Yat-sen Memorial Hospital, Sun Yat-sen University, Guangzhou, China.
Zhaopeng CaiDepartment of Orthopedics, The Eighth Affiliated Hospital, Sun Yat-sen University, Shenzhen, China.
Keng ChenDepartment of Orthopedics, The Eighth Affiliated Hospital, Sun Yat-sen University, Shenzhen, China.
Boyang WuDepartment of Orthopedics, The Eighth Affiliated Hospital, Sun Yat-sen University, Shenzhen, China.
Haonan LiDepartment of Orthopedics, The Eighth Affiliated Hospital, Sun Yat-sen University, Shenzhen, China.
Peng WangDepartment of Orthopedics, The Eighth Affiliated Hospital, Sun Yat-sen University, Shenzhen, China.
Yanfeng WuCenter for Biotherapy, The Eighth Affiliated Hospital, Sun Yat-sen University, Shenzhen, China.
Huiyong ShenDepartment of Orthopedics, Sun Yat-sen Memorial Hospital, Sun Yat-sen University, Guangzhou, China.
Eighth Affiliated Hospital of Sun Yat-sen UniversitySun Yat-sen University · CNSun Yat-sen Memorial Hospital · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundOsteosarcoma (OS) is a type of primary malignant tumor, and increasing evidence shows the clinical benefits of immunotherapy in treating OS. However, the lack of comprehensive studies on the complex OS immune microenvironment hinders the application of immunotherapy. Thus, this study aimed to systematically explore the immune characteristics of OS and identify novel biomarkers for OS treatment.

methodsWe systematically studied the immune score and proportions of infiltrating immune cells in OS in the Therapeutically Applicable Research to Generate Effective Treatments (TARGET) and Gene Expression Omnibus (GEO) databases using the ESTIMATE and CIBERSORT algorithms. Differential expression and functional analyses were used to identify dysregulated genes and explore their functions. Survival and Cox regression analyses were applied to establish an immune-related prognostic signature. Additionally, qPCR and immunohistochemistry were performed to validate the results.

resultsA total of 103 differentially expressed immune genes (DEIGs) were found in the TARGET-OS and GSE39058 databases, and these DEIGs were mainly enriched in leukocyte proliferation, leukocyte differentiation, osteoclast differentiation, natural killer (NK) cell-mediated cytotoxicity, and the adaptive immune system. A predictive signature was constructed based on the survival analysis, with an area under the receiver operating characteristic (ROC) curve (AUC) of 0.65. Moreover, we found that mitogen-activated protein kinase kinase kinase 15 (MAP3K15) can predict the prognosis of patients with OS and is closely related to CD4

conclusionsOur study found that MAP3K15, whose expression level is closely related to immune activity in tumors, is a critical immune-related biomarker, and our findings may provide a basis for OS immunotherapy.

Indexed as

bioinformaticsimmune infiltratesMitogen-activated protein kinase kinase kinase 15 (MAP3K15)osteosarcoma (OS)prognosis

Identifiers

PMID34430620
PMCPMC8350644
OpenAlexW3156242415

What OpenQuestion holds

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LicenceCC BY-NC-ND
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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.