Cancer phenomics research hotspots and development trends: a bibliometric analysis from 2000 to 2023

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Abstract

The emerging field of cancer phenomics provides comprehensive insights into tumor heterogeneity, promoting advances in personalized oncology. This study explores current research hotspots and future development trends in cancer phenomics through a bibliometric analysis of research from 2000 to 2023. Using data from the Web of Science Core Collection, we analyzed 1260 publications to identify global contributions and collaborative networks. Employing CiteSpace and VOSviewer tools, we examined research trends, highlighting disease progression, multi-omics integration, and phenotypic drug discovery as major focus areas. Key findings reveal that the United States, China, and the United Kingdom are leading contributors, with top institutions such as Harvard Medical School advancing research and fostering international collaboration. Additionally, the analysis underscores the prominence of double-positive (DP) T cells and natural killer (NK) cells in cancer immunology, showcasing their potential roles in phenotypic screening and cancer therapeutics. Despite advancements, the study notes ongoing challenges in translating phenomics research to clinical applications, suggesting that enhanced global partnerships and technological integration are essential. This analysis offers valuable perspectives for future research and highlights phenomics' transformative potential in precision oncology, advocating for its role in advancing cancer diagnosis, treatment, and prevention.

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Most cited references 48

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Author and article information

Contributors

Yingjian Zeng: tcmdrc2023@outlook.com

Journal

Journal ID (nlm-ta): Discov Oncol

Journal ID (iso-abbrev): Discov Oncol

Title: Discover Oncology

Publisher: Springer US (New York )

ISSN (Electronic): 2730-6011

Publication date (Electronic): 19 December 2024

Publication date PMC-release: 19 December 2024

Publication date Collection: December 2024

Volume: 15

Electronic Location Identifier: 811

Affiliations

[1 ]School of Clinical Medicine, Jiangxi University of Chinese Medicine, ( https://ror.org/024v0gx67) Nanchang, 330004 China

[2 ]Hematology Department, Affiliated Hospital of Jiangxi University of Traditional Chinese Medicine, ( https://ror.org/050d0fq97) Nanchang, 330006 Jiangxi China

Article

Publisher ID: 1710

DOI: 10.1007/s12672-024-01710-w

PMC ID: 11655722

PubMed ID: 39695032

SO-VID: f6aa8be4-166a-441f-b90e-9a40b4631ebc

License:

Open Access This article is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License, which permits any non-commercial use, sharing, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if you modified the licensed material. You do not have permission under this licence to share adapted material derived from this article or parts of it. The images or other third party material in this article are included in the article’s Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by-nc-nd/4.0/.

History

Date received : 30 September 2024

Date accepted : 13 December 2024

Funding

Funded by: FundRef http://dx.doi.org/10.13039/501100001809, National Natural Science Foundation of China;

Award ID: 82260914

Award Recipient : Shupeng Chen

Custom metadata

Keywords: phenomics,tumor heterogeneity,precision medicine,phenotypic screening,multi-omics integration,nk cells,dp t cells

Data availability:

Keywords: phenomics, tumor heterogeneity, precision medicine, phenotypic screening, multi-omics integration, nk cells, dp t cells

Cancer phenomics research hotspots and development trends: a bibliometric analysis from 2000 to 2023

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