June 4, 2024Open Access

Supplementary Figure 2 from Surgical Tumor Resection Deregulates Hallmarks of Cancer in Resected Tissue and the Surrounding Microenvironment

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Genome-wide expression counts distinguish patient subgroups in breast cancer, revealing molecular variation across resected tumor tissue samples.
Unsupervised clustering of patient transcriptomes stratifies tumor profiles directly from quantified expression data without predefined clinical categories.
Highlights molecular alterations linked to surgical tumor resection and surrounding tissue changes, supporting further genomic classification in oncology.

Implication

Unsupervised clustering demonstrates distinct genome-wide expression patterns in breast cancer patients, indicating transcriptional heterogeneity.

Supplementary Figure 2 shows unsupervised clustering of Breast Cancer patients based on genome-wide expression counts.

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Chaubal et al. (2024) studied this question.

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Unsupervised clustering demonstrates distinct genome-wide expression patterns in breast cancer patients, indicating transcriptional heterogeneity.

Supplementary Figure 2 shows unsupervised clustering of Breast Cancer patients based on genome-wide expression counts.