Evidence map›Paper›PMID 41531533›Full record

ArticlePrecision clinical medicine2025

The recurrence or metastasis related gene predicts the prognosis of extremity and trunk soft tissue sarcoma.

Duo Wang, Dawei Sun, Jihao Tu, Xingyao Cui, Limei Qu, Lei Chen, Zhixin Zhang, Ziping Jiang, Ruijun Li, Zhaopeng Xuan and 8 more

Abstract read
In one paragraph

Article in Precision clinical medicine, 2025. 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

18 authors.

Duo WangDepartment of Hand and Foot Surgery, Orthopedics Center, The First Hospital of Jilin University, Changchun 130000, China.
Dawei SunSchool of Disaster and Emergency Medicine, Faculty of Medicine, Tianjin University, Tianjin 300072, China.
Jihao TuDepartment of Hand and Foot Surgery, Orthopedics Center, The First Hospital of Jilin University, Changchun 130000, China.
Xingyao CuiDepartment of Hand and Foot Surgery, Orthopedics Center, The First Hospital of Jilin University, Changchun 130000, China.
Limei QuDepartment of Hand and Foot Surgery, Orthopedics Center, The First Hospital of Jilin University, Changchun 130000, China.
Lei ChenDepartment of Hand and Foot Surgery, Orthopedics Center, The First Hospital of Jilin University, Changchun 130000, China.
Zhixin ZhangDepartment of Hand and Foot Surgery, Orthopedics Center, The First Hospital of Jilin University, Changchun 130000, China.
Ziping JiangDepartment of Hand and Foot Surgery, Orthopedics Center, The First Hospital of Jilin University, Changchun 130000, China.
Ruijun LiDepartment of Hand and Foot Surgery, Orthopedics Center, The First Hospital of Jilin University, Changchun 130000, China.
Zhaopeng XuanDepartment of Hand and Foot Surgery, Orthopedics Center, The First Hospital of Jilin University, Changchun 130000, China.
Jianli CuiDepartment of Hand and Foot Surgery, Orthopedics Center, The First Hospital of Jilin University, Changchun 130000, China.
Xiguang SunDepartment of Hand and Foot Surgery, Orthopedics Center, The First Hospital of Jilin University, Changchun 130000, China.
Xiaoyan JiaDepartment of Hand and Foot Surgery, Orthopedics Center, The First Hospital of Jilin University, Changchun 130000, China.
Pengcheng LiuDepartment of Hand and Foot Surgery, Orthopedics Center, The First Hospital of Jilin University, Changchun 130000, China.
Ying XiongDepartment of Hand and Foot Surgery, Orthopedics Center, The First Hospital of Jilin University, Changchun 130000, China.
Jianing WangDepartment of Hand and Foot Surgery, Orthopedics Center, The First Hospital of Jilin University, Changchun 130000, China.
Yanfang JiangDepartment of Hand and Foot Surgery, Orthopedics Center, The First Hospital of Jilin University, Changchun 130000, China.ORCID https://orcid.org/0000-0002-2478-1521
Bin LiuDepartment of Hand and Foot Surgery, Orthopedics Center, The First Hospital of Jilin University, Changchun 130000, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Relapsed soft tissue sarcomas (STS) have poor prognosis and limited treatment options. However, the molecular mechanism underlying recurrence and the prognostic predictor for STS are unclear. Methods: We enrolled 35 extremity and trunk STS patients. Tumor specimens of 20 relapsed and 15 primary STS underwent sequencing to detect DNA mutation, RNA expression, and DNA methylation. Moreover, 206 STS cases from The Cancer Genome Atlas (TCGA) were utilized to construct the relapse-associated risk score model (RRSM), validated using three Gene Expression Omnibus datasets. Key model genes, COL6A3, FZD7, ITPKA, and PRKAG1, were validated in formalin-fixed paraffin-embedded tissue sections from primary and relapsed STS patients, confirming their potential involvement in STS recurrence. Results: The primary STS exhibited an immune-enriched tumor microenvironment, whereas the tumor microenvironment of relapsed STS had features that promote tumor recurrence or metastasis. The RRSM could predict relapse-free survival in TCGA STS and performed well in the validation cohort. Multivariate analysis revealed that RRSM was an independent prognostic factor. Moreover, the nomogram developed had excellent predictive ability. Conclusions: This study revealed different multi-omic profiles between relapsed and primary STS. RRSM is a potential prognostic predictor for STS and lays a foundation for early intervention of high-risk STS patients. The expression of genes FZD7, ITPKA, and PRKAG1 may guide STS treatment decisions.

Indexed as

multi-omicsprognostic modelrecurrencerelapse-associated risk score modelsoft tissue sarcomatherapeutic targets

Identifiers

PMID41531533
PMCPMC12793454

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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.