Evidence map›Paper›PMID 35047627›Full record

ArticleBioMed research international2021

COL3A1 and Its Related Molecules as Potential Biomarkers in the Development of Human Ewing's Sarcoma.

Min Tang, Peiqing Liu, Xiaoke Wu, Jie Gong, Jiacheng Weng, Guangyu Gao, Yulong Liu, Lei Gan

Open access · hybridAbstract read
In one paragraph

Article in BioMed research international, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.

0numbers the graph read from it
0cells of the map it votes in
10citing papers in PubMed
1.5field-weighted citation impact, top 16% 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

10 citing papers in PubMed, 12 citations in OpenAlex.

  1. Article
  2. The Duality of Collagens in Metastases of Solid Tumors.International journal of molecular sciences · 2025
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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

8 authors at 2 institutions in 1 country.

Min TangDepartment of Radiotherapy and Oncology, First People's Hospital of Kunshan, Kunshan, Jiangsu Province, China.
Peiqing LiuDepartment of Oncology, The Second Affiliated Hospital of Soochow University, Suzhou 215004, China.
Xiaoke WuDepartment of Oncology, The Second Affiliated Hospital of Soochow University, Suzhou 215004, China.
Jie GongDepartment of Oncology, The Second Affiliated Hospital of Soochow University, Suzhou 215004, China.
Jiacheng WengDepartment of Oncology, The Second Affiliated Hospital of Soochow University, Suzhou 215004, China.
Guangyu GaoDepartment of Oncology, The Second Affiliated Hospital of Soochow University, Suzhou 215004, China.ORCID https://orcid.org/0000-0002-1317-6764
Yulong LiuDepartment of Oncology, The Second Affiliated Hospital of Soochow University, Suzhou 215004, China.ORCID https://orcid.org/0000-0003-2660-8076
Lei GanDepartment of Oncology, The Second Affiliated Hospital of Soochow University, Suzhou 215004, China.ORCID https://orcid.org/0000-0001-8807-0190
Soochow University · CNJiangsu University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundEwing's sarcoma (ES) is the most common malignant primary bone tumor in children and adolescents. This study is aimed at developing new prognostic markers and building a microRNA-mRNA network in the development of ES.

methodGSE80201 and GSE39262 were downloaded from the Gene Expression Omnibus (GEO) database. Bioinformatics analysis was used to download and process data. The coexpression of differentially expressed microRNAs (DEMs) and genes (DEGs) was selected by using R software. The FunRich database was utilized to perform cellular component (CC), molecular function (MF), and biological process (BP) enrichment analysis. Cytoscape and ClueGO were used to perform Kyoto Encyclopedia of Genes and Genomes (KEGG) enrichment analysis and construct the mRNA-microRNA network. The Kaplan-Meier Plotter was used to perform prognosis analysis between the expression level of genes we selected and overall survival (OS) of patients with ES. Univariate analysis and multivariate analysis were carried out to research the prognostic value of identified mRNA expression in ES according to TCGA database.

resultsBy using bioinformatics analysis, 10 DEMs and 5 target mRNAs were identified. Based on the KmPlot software, COL1A2, COL3A1, and TGFBI were significantly related to the OS of patients with ES. High COL3A1 mRNA expression was correlated with distant metastasis, margin status, and poor overall survival of ES. Besides, multivariate analysis indicated that COL3A1 was an independent risk factor for ES patients.

conclusionsIn conclusion, our results suggest that COL3A1 and its related molecules may be a potential diagnostic and prognostic biomarker for patients with ES.

Indexed as

Biomarkers, TumorBone NeoplasmsCollagen Type IIINeoplasm ProteinsSarcoma, EwingHumansBiomarkers, TumorCOL3A1 protein, humanCollagen Type IIINeoplasm Proteins

Identifiers

PMID35047627
PMCPMC8763479
OpenAlexW4200251352

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.