Evidence map›Paper›PMID 32873319›Full record

ArticleJournal of translational medicine2020

Comprehensive profiling of immune-related genes in soft tissue sarcoma patients.

Chuan Hu, Bo Chen, Zhangheng Huang, Chuan Liu, Lin Ye, Cailin Wang, Yuexin Tong, Jiaxin Yang, Chengliang Zhao

Open access · goldAbstract read
In one paragraph

Article in Journal of translational medicine, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 22 papers.

0numbers the graph read from it
0cells of the map it votes in
22citing papers in PubMed
1.7field-weighted citation impact, top 13% 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

22 citing papers in PubMed, 38 citations in OpenAlex.

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  12. The Landscape of Immunotherapy for Retroperitoneal Sarcoma.Current oncology (Toronto, Ont.) · 2023
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  15. Emerging mechanisms of immunotherapy resistance in sarcomas.Cancer drug resistance (Alhambra, Calif.) · 2022
    Review
  16. Article
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  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

9 authors at 4 institutions in 1 country.

Chuan HuDepartment of Orthopedic, Affiliated Hospital of Chengde Medical University, Hebei, China.
Bo ChenDepartment of Orthopedic, Affiliated Hospital of Chengde Medical University, Hebei, China.
Zhangheng HuangDepartment of Orthopedic, Affiliated Hospital of Chengde Medical University, Hebei, China.
Chuan LiuDepartment of Medical Oncology, The First Hospital of China Medical University, Shenyang, 110001, China.
Lin YeWenzhou Medical University, Zhejiang, 325000, China.
Cailin WangWenzhou Medical University, Zhejiang, 325000, China.
Yuexin TongDepartment of Orthopedic, Affiliated Hospital of Chengde Medical University, Hebei, China.
Jiaxin YangWenzhou Medical University, Zhejiang, 325000, China.
Chengliang ZhaoDepartment of Orthopedic, Affiliated Hospital of Chengde Medical University, Hebei, China. 38221965@qq.com.
Wenzhou Medical University · CNChengde Medical University · CNFirst Hospital of China Medical University · CNQingdao University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundImmune-related genes (IRGs) have been confirmed to have an important role in tumorigenesis and tumor microenvironment formation. Nevertheless, a systematic analysis of IRGs and their clinical significance in soft tissue sarcoma (STS) patients is lacking.

methodsGene expression files from The Cancer Genome Atlas (TCGA) database and Genotype-Tissue Expression (GTEx) were used to select differentially expressed genes (DEGs). Differentially expressed immune-related genes (DEIRGs) were determined by matching the DEG and ImmPort gene sets, which were evaluated by functional enrichment analysis. Unsupervised clustering of the identified DEIRGs was conducted, and associations with prognosis, the tumor microenvironment (TME), immune checkpoints, and immune cells were analyzed simultaneously. Two prognostic signatures, one for overall survival (OS) and one for progression free survival (PFS), were established and validated in an independent set. Finally, two transcription factor (TF)-IRG regulatory networks were constructed, and a crucial regulatory axis was validated.

resultsIn total, 364 DEIRGs and four clusters were identified. OS, TME scores, five immune checkpoints, and 12 types of immune cells were found to be significantly different among the four clusters. The two prognostic signatures incorporating 20 DEIRGs showed favorable discrimination and were successfully validated. Two nomograms combining signature and clinical variables were generated. The C-indexes were 0.879 (95%CI 0.832 ~ 0.926) and 0.825 (95%CI 0.776 ~ 0.874) for the OS and PFS signatures, respectively. Finally, TF-IRG regulatory networks were established, and the MYH11-ADM regulatory axis was verified in three independent datasets.

conclusionThis comprehensive analysis of the IRG landscape in soft tissue sarcoma revealed novel IRGs related to carcinogenesis and the immune microenvironment. These findings have implications for prognosis and therapeutic responses, which reveal novel potential prognostic biomarkers, promote precision medicine, and provide potential novel targets for immunotherapy.

Indexed as

Gene Expression ProfilingSarcomaBiomarkers, TumorGene Expression Regulation, NeoplasticHumansPrognosisTumor MicroenvironmentBiomarkers, TumorImmune cellImmune checkpointImmune-related genesPrognosisSoft tissue sarcomaTranscription factor

Identifiers

PMID32873319
PMCPMC7465445
OpenAlexW3082987501

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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.