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Integrative analysis of scRNA-seq, spatial transcriptomics, and machine learning constructs a prognostic model for Pyrotinib resistance in breast cancer

2026-04-14

Abstract excerpt

<title>Abstract</title> <p>Pyrotinib resistance remains a major challenge in the treatment of breast cancer (BRCA), highlighting the need for reliable biomarkers and prognostic models. This study aimed to identify Pyrotinib resistance-related biomarkers and explore their regulatory mechanisms and therapeutic potential. We integrated single-cell RNA sequencing (scRNA-seq) of Pyrotinib-resistant SKBR3 cells, spatia...

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Literature Corpus work
a7256cd0-6a97-5d8b-a8ba-9a6745e6f7e7
DOI
10.21203/rs.3.rs-9376197/v1
Open publication

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Integrative analysis of scRNA-seq, spatial transcriptomics, and machine learning constructs a prognostic model for Pyrotinib resistance in breast cancerDOI 10.21203/rs.3.rs-9376197/v1
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