Evidence map›Paper›PMID 36254197›Full record

ArticleJournal of immunology research2022

Identification of Two Novel Immune Subtypes Characterized by Distinct Prognosis and Tumor Microenvironment in Osteosarcoma.

Shunhan Yao, Meiling Deng, Xiaojing Du, Qingfeng Chen, Rongzhi Huang

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Journal of immunology research, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

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

1 citing paper in PubMed.

  1. 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.

Shunhan YaoMedical College, Guangxi University, Nanning, Guangxi 530000, China.ORCID https://orcid.org/0000-0001-8821-633X
Meiling DengSchool of Information and Management, Guangxi Medical University, Nanning, Guangxi 530021, China.
Xiaojing DuSchool of Computer, Electronic and Information, Guangxi University, Nanning, Guangxi 530000, China.
Qingfeng ChenSchool of Computer, Electronic and Information, Guangxi University, Nanning, Guangxi 530000, China.ORCID https://orcid.org/0000-0002-5506-8913
Rongzhi HuangTraumatic Orthopedic Hand Surgery, The First People's Hospital of Qinzhou, Qinzhou, Guangxi 535000, China.ORCID https://orcid.org/0000-0003-2773-6635

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Osteosarcoma is a kind of primary malignant tumor of bone. In recent years, its therapeutic effect and prognostic survival are dissatisfactory. The tumor immune microenvironment (TIME) reflects immune status of patients, but it is little known in osteosarcoma. Therefore, this study attempts to conduct a comprehensive analysis to explore TIME of osteosarcoma and identify TIME-related subtypes for clinical management and treatment. We successfully established two novel tumor immune infiltration clusters (TIIC) which are characterized by difference of microenvironment and immune-related biological processes. High tumor immune infiltration cluster (H-TIIC) subtypes with higher immune infiltration score shows a better overall survival. Further, the two immune subtypes are shown to differ in immunotherapy and chemotherapy. The results would be helpful for clinical decision in osteosarcoma.

Indexed as

Bone NeoplasmsOsteosarcomaBiomarkers, TumorHumansImmunityPrognosisTumor MicroenvironmentBiomarkers, Tumor

Identifiers

PMID36254197
PMCPMC9569206

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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.