Evidence map›Paper›PMID 31739284›Full record

ArticleAging2019

The construction and analysis of tumor-infiltrating immune cell and ceRNA networks in recurrent soft tissue sarcoma.

Runzhi Huang, Tong Meng, Rui Chen, Penghui Yan, Jie Zhang, Peng Hu, Xiaolong Zhu, Huabin Yin, Dianwen Song, Zongqiang Huang

Open access · greenAbstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Aging, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 33 papers.

0numbers the graph read from it
0cells of the map it votes in
33citing papers in PubMed
4.5field-weighted citation impact, top 4% 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

33 citing papers in PubMed, 47 citations in OpenAlex.

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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 4 institutions in 1 country.

Runzhi HuangDepartment of Orthopaedics, The First Affiliated Hospital of Zhengzhou University, Zhengzhou 450052, China.
Tong MengDivision of Spine, Department of Orthopedics, Tongji Hospital Affiliated to Tongji University School of Medicine, Shanghai 200065, China.
Rui ChenDepartment of Urology, Shanghai Changhai Hospital, Second Military Medical University, Shanghai 200433, China.
Penghui YanDepartment of Orthopaedics, The First Affiliated Hospital of Zhengzhou University, Zhengzhou 450052, China.
Jie ZhangShanghai East Hospital, Key Laboratory of Arrhythmias, Ministry of Education, Tongji University School of Medicine, Shanghai 200120, China.
Peng HuDepartment of Orthopaedics, The First Affiliated Hospital of Zhengzhou University, Zhengzhou 450052, China.
Xiaolong ZhuDepartment of Orthopaedics, The First Affiliated Hospital of Zhengzhou University, Zhengzhou 450052, China.
Huabin YinDepartment of Orthopedics, Shanghai General Hospital, School of Medicine, Shanghai Jiaotong University, Shanghai 200080, China.
Dianwen SongDepartment of Orthopedics, Shanghai General Hospital, School of Medicine, Shanghai Jiaotong University, Shanghai 200080, China.
Zongqiang HuangDepartment of Orthopaedics, The First Affiliated Hospital of Zhengzhou University, Zhengzhou 450052, China.
First Affiliated Hospital of Zhengzhou University · CNShanghai First People's Hospital · CNTongji University · CNSecond Military Medical University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Soft tissue sarcoma (STS) is one of the most challenging tumors for medical oncologists, with a high rate of recurrence after initial resection. In this study, a recurrent STS-specific competitive endogenous RNA (ceRNA) network including seven recurrence and overall survival (OS)-associated genes (LPP-AS2, MUC1, GAB2, hsa-let-7i-5p, hsa-let-7f-5p, hsa-miR-101-3p and hsa-miR-1226-3p) was established based on the gene expression profiling of 259 primary sarcomas and 3 local recurrence samples from the TCGA database. The algorithm "cell type identification by estimating relative subsets of RNA transcripts (CIBERSORT)" was applied to estimate the fraction of immune cells in sarcomas. Based on 5 recurrence and OS-associated immune cells (NK cells activated, dendritic cells resting, mast cells resting, mast cells activated and macrophages M1), we constructed a recurrent STS-specific immune cells network. Both nomograms were identified to have good reliabilities (Area Under Curve (AUC) of 5-year survival is 0.724 and 0.773, respectively). Then the co-expression analysis was performed to identify the potential regulation network among recurrent STS-specific immune cells and ceRNAs. Hsa-miR-1226-3p and MUC1 were significantly correlated and dendritic cells resting was related to hsa-miR-1226-3p. Additionally, the expression of MUC1 and dendritic cell marker CD11c were also verified by immunohistochemistry (IHC) assay and multidimensional databases. In conclusion, this study illustrated the potential mechanism of hsa-miR-1226-3p regulating MUC1 and dendritic cells resting might play an important role in STS recurrence. These findings might provide potential prognostic biomarkers and therapeutic targets for recurrent STS.

Indexed as

Gene Expression ProfilingGene Expression Regulation, NeoplasticGene Regulatory NetworksHumansLymphocytes, Tumor-InfiltratingMicroarray AnalysisNeoplasm Recurrence, LocalNomogramsSarcomabone tumorceRNAimmune cellprognosisrecurrencesoft tissue sarcoma

Identifiers

PMID31739284
PMCPMC6914407
OpenAlexW2990757766

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.