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Themis: advancing precision oncology through comprehensive molecular subtyping and optimization
Yue Xi1,2, Kun Zheng3, Fulan Deng4
1Department of Reproductive Medicine, Central Hospital Affiliated to Shandong First Medical University, Jinan, Shandong Province, 250013, China.
Abstract:
Recent advances in tumor molecular subtyping have revolutionized precision oncology, offering novel avenues for patient-specific treatment strategies. However, a comprehensive and independent comparison of these subtyping methodologies remains unexplored. This study introduces 'Themis' (Tumor HEterogeneity analysis on Molecular subtypIng System), an evaluation platform that encapsulates a few representative tumor molecular subtyping methods, including Stemness, Anoikis, Metabolism, and pathway-based classifications, utilizing 38 test datasets curated from The Cancer Genome Atlas (TCGA) and significant studies. Our self-designed quantitative analysis uncovers the relative strengths, limitations, and applicability of each method in different clinical contexts. Crucially, Themis serves as a vital tool in identifying the most appropriate subtyping methods for specific clinical scenarios. It also guides fine-tuning existing subtyping methods to achieve more accurate phenotype-associated results. To demonstrate the practical utility, we apply Themis to a breast cancer dataset, showcasing its efficacy in selecting the most suitable subtyping methods for personalized medicine in various clinical scenarios. This study bridges a crucial gap in cancer research and lays a foundation for future advancements in individualized cancer therapy and patient management.
Insights
A new platform, Themis, evaluates tumor molecular subtyping methods for precision oncology. It identifies the best methods for specific clinical scenarios, improving patient-specific treatment strategies and cancer therapy.
Area of Science:
- Oncology
- Bioinformatics
- Computational Biology
Background:
- Precision oncology relies on accurate tumor molecular subtyping for tailored treatments.
- Existing subtyping methods lack comprehensive, independent comparative analysis.
- This gap hinders optimal selection and refinement of subtyping strategies.
Purpose of the Study:
- Introduce Themis (Tumor HEterogeneity analysis on Molecular subtypIng System), an evaluation platform for tumor molecular subtyping methods.
- Quantitatively compare representative subtyping methodologies.
- Provide guidance for selecting and refining methods for clinical application.
Main Methods:
- Developed Themis, an evaluation platform for tumor molecular subtyping.
- Included methods: Stemness, Anoikis, Metabolism, and pathway-based classifications.
- Utilized 38 diverse datasets from The Cancer Genome Atlas (TCGA) and other key studies.
Main Results:
- Uncovered relative strengths, limitations, and applicability of different subtyping methods.
- Demonstrated Themis's capability to identify optimal methods for specific clinical contexts.
- Showcased practical utility through a breast cancer dataset analysis.
Conclusions:
- Themis is a vital tool for selecting appropriate molecular subtyping methods in oncology.
- The platform facilitates the fine-tuning of methods for improved phenotype-associated results.
- This work advances individualized cancer therapy and patient management strategies.
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