Evidence map›Paper›PMID 36552841›Full record

ArticleCells2022

A Combined Risk Score Model to Assess Prognostic Value in Patients with Soft Tissue Sarcomas.

Zihua Li, Zhengwei Duan, Keyao Jia, Yiwen Yao, Kaiyuan Liu, Yue Qiao, Qiuming Gao, Yunfeng Yang, Guodong Li, Anquan Shang

Open access · goldAbstract read
In one paragraph

Article in Cells, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
1.1field-weighted citation impact, top 22% 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

3 citing papers in PubMed, 7 citations in OpenAlex.

  1. Article
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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 3 institutions in 2 countries.

Zihua LiDepartment of Laboratory Medicine, Shanghai Tongji Hospital, School of Medicine, Tongji University, Shanghai 200065, China.ORCID 0000-0002-6087-7459
Zhengwei DuanDepartment of Orthopedics, Shanghai Tenth People's Hospital, School of Medicine, Tongji University, Shanghai 200072, China.
Keyao JiaThe First School of Clinical Medicine, Southern Medical University, Guangzhou 510515, China.
Yiwen YaoDepartment of Internal Medicine V-Pulmonology, Allergology, and Respiratory Intensive Care Medicine, Saarland University Hospital, 66424 Homburg, Germany.
Kaiyuan LiuDepartment of Orthopedics, Shanghai Tenth People's Hospital, School of Medicine, Tongji University, Shanghai 200072, China.
Yue QiaoDepartment of Orthopedics, Shanghai Tenth People's Hospital, School of Medicine, Tongji University, Shanghai 200072, China.
Qiuming GaoDepartment of Orthopedics, Shanghai Tenth People's Hospital, School of Medicine, Tongji University, Shanghai 200072, China.
Yunfeng YangDepartment of Orthopedics, Shanghai Tongji Hospital, School of Medicine, Tongji University, Shanghai 200065, China.
Guodong LiDepartment of Orthopedics, Shanghai Tenth People's Hospital, School of Medicine, Tongji University, Shanghai 200072, China.
Anquan ShangDepartment of Laboratory Medicine, Shanghai Tongji Hospital, School of Medicine, Tongji University, Shanghai 200065, China.ORCID 0000-0003-2820-1982
Tongji University · CNSaarland University · DESouthern Medical University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

A study by Tsvetkov et al. recently published a proposed novel form of copper-induced cell death in

methodsThe prognostic model was established via the least absolute shrinkage and selection operator (LASSO) algorithm as well as multivariate Cox regression analysis. The stromal scores, immune scores, ESTIMA scores, and tumor purity of sarcoma patients were evaluated by the ESTIMATE algorithm. Functional analyses were performed to investigate the underlying mechanisms of immune cell infiltration and the prognosis of CRGs in sarcoma.

resultsTwo molecular subgroups with different CRG expression patterns were recognized, which showed that patients with a higher immune score and more active immune status were prone to have better prognostic survival. Moreover, GO and KEGG analyses showed that these differentially expressed CRGs were mainly enriched in metabolic/ions-related signaling pathways, indicating that CRGs may have impacts on the immune cell infiltration and prognosis of sarcoma via regulating the bioprocess of mitochondria and consequently affecting the immune microenvironment. The expression levels of CRGs were closely correlated to the immunity condition and prognostic survival of sarcoma patients.

conclusionsThe interaction between cuproptosis and immunity in sarcoma may provide a novel insight into the study of molecular mechanisms and candidate biomarkers for the prognosis, resulting in effective treatments for sarcoma patients.

Indexed as

SarcomaSoft Tissue NeoplasmsAlgorithmsHumansPrognosisRisk FactorsTumor Microenvironmentbiomarkercuproptosisimmune infiltrationprognosissoft tissue

Identifiers

PMID36552841
PMCPMC9776565
OpenAlexW4312194972

What OpenQuestion holds

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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.