Evidence map›Paper›PMID 33316779›Full record

ArticleAging2020

Comprehensive analysis of immune infiltration and gene expression for predicting survival in patients with sarcomas.

Hongmin Chen, Yijiang Song, Chuangzhong Deng, Yanyang Xu, Huaiyuan Xu, Xiaojun Zhu, Guohui Song, Qinglian Tang, Jinchang Lu, Jin Wang

Open access · hybridAbstract read
In one paragraph

Article in Aging, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.

0numbers the graph read from it
0cells of the map it votes in
12citing papers in PubMed
0.9field-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

12 citing papers in PubMed, 15 citations in OpenAlex.

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  7. Complete loss ofHGG advances · 2023
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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

10 authors at 2 institutions in 1 country.

Hongmin ChenDepartment of Musculoskeletal Oncology, Sun Yat-Sen University Cancer Center, Guangzhou 510060, Guangdong, P. R. China.
Yijiang SongDepartment of Musculoskeletal Oncology, Sun Yat-Sen University Cancer Center, Guangzhou 510060, Guangdong, P. R. China.
Chuangzhong DengDepartment of Musculoskeletal Oncology, Sun Yat-Sen University Cancer Center, Guangzhou 510060, Guangdong, P. R. China.
Yanyang XuDepartment of Musculoskeletal Oncology, Sun Yat-Sen University Cancer Center, Guangzhou 510060, Guangdong, P. R. China.
Huaiyuan XuDepartment of Musculoskeletal Oncology, Sun Yat-Sen University Cancer Center, Guangzhou 510060, Guangdong, P. R. China.
Xiaojun ZhuDepartment of Musculoskeletal Oncology, Sun Yat-Sen University Cancer Center, Guangzhou 510060, Guangdong, P. R. China.
Guohui SongDepartment of Musculoskeletal Oncology, Sun Yat-Sen University Cancer Center, Guangzhou 510060, Guangdong, P. R. China.
Qinglian TangDepartment of Musculoskeletal Oncology, Sun Yat-Sen University Cancer Center, Guangzhou 510060, Guangdong, P. R. China.
Jinchang LuDepartment of Musculoskeletal Oncology, Sun Yat-Sen University Cancer Center, Guangzhou 510060, Guangdong, P. R. China.
Jin WangDepartment of Musculoskeletal Oncology, Sun Yat-Sen University Cancer Center, Guangzhou 510060, Guangdong, P. R. China.
Sun Yat-sen University Cancer Center · CNSun Yat-sen University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Tumor microenvironments are strongly related to tumor development, and immune-infiltrating cells and immune-related molecules are potential prognostic markers. However, the shortcomings of traditional measurement methods limit the accurate evaluation of various components in tumor microenvironments. With the rapid advancement of Next-Generation RNA Sequencing technology, dedicated and in-depth analyses of immune filtration within the tumor microenvironment has been achieved. In this study, we combined the bioinformatics analysis methods ESTIMATE, CIBERSORT, and ssGSEA to characterize the immune infiltration of sarcomas and to identify specific immunomodulators of different pathological subtypes. We further extracted a functional enrichment of significant immune-related genes related to improved prognosis, including NR1H3, VAMP5, GIMAP2, GBP2, HLA-E and CRIP1. Overall, the immune microenvironment is an important prognostic determinant of sarcomas and may be a potential resource for developing effective immunotherapy.

Indexed as

Gene Expression Regulation, NeoplasticMutationBiomarkers, TumorCarrier ProteinsComputational BiologyFemaleGTP-Binding ProteinsGTP PhosphohydrolasesHistocompatibility Antigens Class IHLA-E AntigensHumansLIM Domain ProteinsLiver X ReceptorsMaleMembrane ProteinsPrognosisBiomarkers, TumorCarrier ProteinsCRIP1 protein, humanGBP2 protein, humanGIMAP2 protein, humanGTP-Binding ProteinsGTP PhosphohydrolasesHistocompatibility Antigens Class IHLA-E AntigensLIM Domain ProteinsLiver X ReceptorsMembrane ProteinsR-SNARE ProteinsVAMP5 protein, humanimmune checkpointsarcomatumor-infiltrating immune cells

Identifiers

PMID33316779
PMCPMC7880383
OpenAlexW3112000331

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.