Evidence map›Paper›PMID 36086752›Full record

ArticleMedicine2022

Two novel predictive biomarkers for osteosarcoma and glycolysis pathways: A profiling study on HS2ST1 and SDC3.

Guozhi Yang, Jie Jiang, Ruifeng Yin, Zhian Li, Lei Li, Feng Gao, Chong Liu, Xinli Zhan

Open access · goldAbstract read
In one paragraph

Article in Medicine, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
1.1field-weighted citation impact, top 23% 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

2 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

8 authors at 2 institutions in 1 country.

Guozhi YangDepartment of Spine Osteopathic Surgery, the First Affiliated Hospital of Guangxi Medical University, Nanning, P. R. China.
Jie JiangGuangxi Medical University, Nanning, P. R. China.
Ruifeng YinDepartment of Orthopedic, Nanyang Central Hospital, Nanyang, China.
Zhian LiDepartment of Orthopedic, Nanyang Central Hospital, Nanyang, China.
Lei LiDepartment of Orthopedic, Nanyang Central Hospital, Nanyang, China.
Feng GaoDepartment of Orthopedic, Nanyang Central Hospital, Nanyang, China.
Chong LiuDepartment of Spine Osteopathic Surgery, the First Affiliated Hospital of Guangxi Medical University, Nanning, P. R. China.
Xinli ZhanDepartment of Spine Osteopathic Surgery, the First Affiliated Hospital of Guangxi Medical University, Nanning, P. R. China.ORCID 0000-0002-0230-7554
Guangxi Medical University · CNNanyang Institute of Technology · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

introductionPrognostic biomarkers for osteosarcoma (OS) are still very few, and this study aims to examine 2 novel prognostic biomarkers for OS through combined bioinformatics and experimental approach. MATERIALS AND

methodsExpression profile data of OS and paraneoplastic tissues were downloaded from several online databases, and prognostic genes were screened by differential expression analysis, Univariate Cox analysis, least absolute shrinkage and selection operator regression analysis, and multivariate Cox regression analysis to construct prognostic models. The accuracy of the model was validated using principal component analysis, constructing calibration plots, and column line plots. We also analyzed the relationship between genes and drug sensitivity. Gene expression profiles were analyzed by immunocytotyping. Also, protein expressions of the constructed biomarkers in OS and paraneoplastic tissues were verified by immunohistochemistry.

resultsHeparan sulfate 2-O-sulfotransferase 1 (HS2ST1) and Syndecan 3 (SDC3, met all our requirements after screening. The constructed prognostic model indicated that patients in the high-risk group had a much lower patient survival rate than in the low-risk group. Moreover, these genes were closely related to immune cells (P < .05). Drug sensitivity analysis showed that the 2 genes modeled were strongly correlated with multiple drugs. Immunohistochemical analysis showed significantly higher protein expression of both genes in OS than in paraneoplastic tissues.

conclusionsHS2ST1 and SDC3 are significantly dysregulated in OS, and the prognostic models constructed based on these 2 genes have much lower survival rates in the high-risk group than in the low-risk group. HS2ST1 and SDC3 can be used as glycolytic and immune-related prognostic biomarkers in OS.

Indexed as

Bone NeoplasmsOsteosarcomaBiomarkers, TumorGene Expression ProfilingGene Expression Regulation, NeoplasticGlycolysisHumansSyndecan-3Biomarkers, TumorSDC3 protein, humanSyndecan-3

Identifiers

PMID36086752
PMCPMC10980373
OpenAlexW4295027541

What Socratic holds

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LicenceCC BY-NC
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Registered trials

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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 Socratic graph.