Unraveling Tumor Heterogeneity: Quantitative Insights from Single-cell RNA Sequencing Analysis in Breast Cancer Subtypes
Tumors are complex systems characterized by variations across genetic, transcriptomic, phenotypic, and microenvironmental levels. This study introduced a novel framework for quantifying cancer cell heterogeneity using single-cell RNA sequencing data. The framework comprised several scores aimed at uncovering the complexities of key cancer traits, such as metastasis, tumor progression, and recurrence.
Authors
- Daniela Senra (ORCID: https://orcid.org/0000-0003-0868-004X)
- Nara Guisoni (ORCID: https://orcid.org/0000-0002-2025-7765)
- Luis Diambra (ORCID: https://orcid.org/0000-0001-8052-4880)
Publication Details
- Journal
- Gene Expression
- Published
- 2025-04-25
- DOI
- https://doi.org/10.14218/ge.2024.00071
- Primary Topic
- Cancer Genomics and Diagnostics
- Type
- article
- Field-Weighted Citation Impact
- 0.00
Funders
- Consejo Nacional de Investigaciones Científicas y Técnicas
- Agencia Nacional de Promoción Científica y Tecnológica
- Fondo para la Investigación Científica y Tecnológica