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 delineate distinct molecular subsets among breast cancer patients, revealing altered transcriptomic profiles across cohorts.
Assessment via unsupervised clustering organizes patient transcriptomic data into coherent subcategories according to overall expression similarities.
Highlights transcriptomic variation in breast cancer tissue, which may clarify how surgical tumor resection perturbs the surrounding microenvironment.

Implication

Analysis reveals unsupervised clustering patterns in breast cancer patients using genome-wide counts, highlighting molecular alterations in resected tissue.

Abstract

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

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Cite This Study

Chaubal et al. (2024) studied this question.

synapsesocial.com/papers/68e664bab6db6435875f167e https://doi.org/10.1158/1541-7786.25965018.v1

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Implication

Analysis reveals unsupervised clustering patterns in breast cancer patients using genome-wide counts, highlighting molecular alterations in resected tissue.

Abstract

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

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

Key Points

Implication

Abstract

Discussion

Cite This Study

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

Key Points

Implication

Abstract

Discussion

Cite This Study

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