Proceedings of the 2025 International Conference on Chemical Engineering and Biological Science (CEBS 2025)

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SWEET Pairing: A Novel Method for Discovering Cancer Driver Genes

Authors
Caimiao Yi1, Xiaoqing Yu1, *
1School of Sciences, Shanghai Institute of Technology, Shanghai, China
*Corresponding author. Email: xqyu@sit.edu.cn
Corresponding Author
Xiaoqing Yu
Available Online 28 August 2025.
DOI
10.2991/978-94-6463-829-5_15How to use a DOI?
Keywords
Single-sample network; Network inference; Gene expression; Cancer driver genes
Abstract

Cancer is a complex disease influenced by various factors, with mutations in cancer-driver genes playing a crucial role. Single-sample network (SSN) has been widely used to identify cancer-related genes by constructing gene interaction networks at the individual level. However, existing SSN methods face limitations in identifying functional driver genes due to challenges in handling tumor heterogeneity, which reduced their utility in personalized cancer treatments. In this study, we introduced a novel SSN method, the Sample-Specific-Weighted Pairing Network (SWEET Pairing), which can be used to construct an innovative sample-specific network. We applied SWEET Pairing method across eight cancer types and compared its performance with four established methods. Our results demonstrated that SWEET Pairing consistently achieved higher F-scores, even under conditions of limited sample sizes or stricter sample frequency thresholds. Moreover, pathway enrichment revealed that the driver genes identified by SWEET Pairing are significantly enriched in cancer-relevant signaling pathways, which underscored their potential biological significance. These findings highlighted the robustness and effectiveness of SWEET Pairing in identifying personalized functional driver genes.

Copyright
© 2025 The Author(s)
Open Access
Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, 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 license and indicate if changes were made.

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Volume Title
Proceedings of the 2025 International Conference on Chemical Engineering and Biological Science (CEBS 2025)
Series
Advances in Engineering Research
Publication Date
28 August 2025
ISBN
978-94-6463-829-5
ISSN
2352-5401
DOI
10.2991/978-94-6463-829-5_15How to use a DOI?
Copyright
© 2025 The Author(s)
Open Access
Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, 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 license and indicate if changes were made.

Cite this article

risenwbib
TY  - CONF
AU  - Caimiao Yi
AU  - Xiaoqing Yu
PY  - 2025
DA  - 2025/08/28
TI  - SWEET Pairing: A Novel Method for Discovering Cancer Driver Genes
BT  - Proceedings of the 2025 International Conference on Chemical Engineering and Biological Science (CEBS 2025)
PB  - Atlantis Press
SP  - 128
EP  - 138
SN  - 2352-5401
UR  - https://doi.org/10.2991/978-94-6463-829-5_15
DO  - 10.2991/978-94-6463-829-5_15
ID  - Yi2025
ER  -