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Intelligent structure prediction and visualization analysis of non-coding RNA in osteosarcoma research.

作者信息

Chen Longhao, He Liuji, Liu Baijie, Zhou Yinghua, Lv Lijiang, Wang Zhiguang

机构信息

The Third Affiliated Hospital of Zhejiang Chinese Medical University, Hangzhou, Zhejiang, China.

The Third Clinical Medical College, Zhejiang University of Chinese Medicine, Hangzhou, Zhejiang, China.

出版信息

Front Oncol. 2024 Mar 12;14:1255061. doi: 10.3389/fonc.2024.1255061. eCollection 2024.


DOI:10.3389/fonc.2024.1255061
PMID:38532928
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC10964489/
Abstract

BACKGROUND: Osteosarcoma (OS) is the most common bone malignant tumor in children and adolescents. Recent research indicates that non-coding RNAs (ncRNAs) have been associated with OS occurrence and development, with significant progress made in this field. However, there is no intelligent structure prediction and literature visualization analysis in this research field. From the perspective of intelligent knowledge structure construction and bibliometrics, this study will comprehensively review the role of countries, institutions, journals, authors, literature citation relationships and subject keywords in the field of ncRNAs in OS. Based on this analysis, we will systematically analyze the characteristics of the knowledge structure of ncRNAs in OS disease research and identify the current research hotspots and trends. METHODS: The Web of Science Core Collection (WoSCC) database was searched for articles on ncRNAs in OS between 2001 and 2023. This bibliometric analysis was performed using VOSviewers, CiteSpace, and Pajek. RESULTS: This study involved 15,631 authors from 2,631 institutions across 57 countries/regions, with a total of 3,642 papers published in 553 academic journals. China has the highest number of published papers in this research field. The main research institutions include (n = 129, 3.54%), (n = 128, 3.51%), (n = 110, 3.02%), and (n = 109, 2.99%). (n =139, 3.82%), (120, 3.31%), and (n = 95, 2.61%) are the most popular journals in this field, with being the most co-cited journal (Co-Citation = 4,268). , and published the most papers, with being the most co-cited author. and are the main focuses of ncRNAs in OS studies. Key themes include and . Since 2020, hotspots and trends in ncRNA research in OS include and CONCLUSION: This study represents the first comprehensive bibliometric analysis of the knowledge structure and development of ncRNAs in OS. These findings highlight current research hotspots and frontier directions, offering valuable insights for future studies on the role of ncRNAs in OS.

摘要
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/144f/10964489/69368ce16f9e/fonc-14-1255061-g010.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/144f/10964489/83ed866cd641/fonc-14-1255061-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/144f/10964489/e8c850150f73/fonc-14-1255061-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/144f/10964489/72a4492e4456/fonc-14-1255061-g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/144f/10964489/10d04b822869/fonc-14-1255061-g004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/144f/10964489/cbb676908ad8/fonc-14-1255061-g005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/144f/10964489/19c554e65543/fonc-14-1255061-g006.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/144f/10964489/6cd5c533060e/fonc-14-1255061-g007.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/144f/10964489/b8f7efdf73bc/fonc-14-1255061-g008.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/144f/10964489/db6521ceb4e5/fonc-14-1255061-g009.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/144f/10964489/69368ce16f9e/fonc-14-1255061-g010.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/144f/10964489/83ed866cd641/fonc-14-1255061-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/144f/10964489/e8c850150f73/fonc-14-1255061-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/144f/10964489/72a4492e4456/fonc-14-1255061-g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/144f/10964489/10d04b822869/fonc-14-1255061-g004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/144f/10964489/cbb676908ad8/fonc-14-1255061-g005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/144f/10964489/19c554e65543/fonc-14-1255061-g006.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/144f/10964489/6cd5c533060e/fonc-14-1255061-g007.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/144f/10964489/b8f7efdf73bc/fonc-14-1255061-g008.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/144f/10964489/db6521ceb4e5/fonc-14-1255061-g009.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/144f/10964489/69368ce16f9e/fonc-14-1255061-g010.jpg

相似文献

[1]
Intelligent structure prediction and visualization analysis of non-coding RNA in osteosarcoma research.

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[2]
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[3]
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[8]
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[9]
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[10]
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引用本文的文献

[1]
Exploring osteosarcoma based on the tumor microenvironment.

Front Immunol. 2024-11-25

[2]
Bibliometric analysis and visualisation of research hotspots and frontiers on omics in osteosarcoma.

J Cancer Res Clin Oncol. 2024-8-22

本文引用的文献

[1]
Metabolism and senescence in the immune microenvironment of osteosarcoma: focus on new therapeutic strategies.

Front Endocrinol (Lausanne). 2023

[2]
The promising roles of exosomal microRNAs in osteosarcoma: A new insight into the clinical therapy.

Biomed Pharmacother. 2023-7

[3]
Transfer of exosomal microRNAs confers doxorubicin resistance in osteosarcoma cells.

Mol Med Rep. 2023-4

[4]
Identification of a miRNA-based non-invasive predictive biomarker of response to target therapy in BRAF-mutant melanoma.

Theranostics. 2022

[5]
Non-coding RNAs as potential biomarkers in osteosarcoma.

Front Genet. 2022-10-19

[6]
LncRNA CASC9 promotes cell proliferation and invasion in osteosarcoma through targeting miR-874-3p/SOX12 axis.

J Orthop Surg Res. 2022-10-20

[7]
Immune Microenvironment in Osteosarcoma: Components, Therapeutic Strategies and Clinical Applications.

Front Immunol. 2022-6-1

[8]
Mir-34a: a regulatory hub with versatile functions that controls osteosarcoma networks.

Cell Cycle. 2022-10

[9]
Hsa_circ_0001982 promotes the proliferation, invasion, and multidrug resistance of osteosarcoma cells.

J Clin Lab Anal. 2022-7

[10]
Identification of novel key regulatory lncRNAs in gastric adenocarcinoma.

BMC Genomics. 2022-5-7

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