MassIVE MSV000088233

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A Network Approach to Identify Biomarkers of Differential Chemotherapy Response Using Patient-Derived Xenograft Models of Triple Negative Breast Cancer

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Description

The authors develop a novel computational algorithm that identified two signatures of differential response to platinum-based and taxane chemotherapies in breast cancer. [doi:10.25345/C5VZ8Z] [dataset license: CC0 1.0 Universal (CC0 1.0)]

Keywords: novel algorithm ; differential response ; breast cancer ; patient derived xenograft ; taxane cehmotherapy ; platinum-based chemotherapy

Contact

Principal Investigators:
(in alphabetical order) 		Michael T. Lewis, Baylor College of Medicine, United States of America
Submitting User: ramsrinivasan

Publications

Petrosyan V, Dobrolecki LE, LaPlante EL, Srinivasan RR, Bailey MH, Welm AL, Welm BE, Lewis MT, Milosavljevic A.
Immunologically "cold" triple negative breast cancers engraft at a higher rate in patient derived xenografts.
NPJ Breast Cancer. 2022 Sep 10;8(1):104. Epub 2022 Sep 10.

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Number of distinct proteins found to be differentially abundant in at least one comparison across all analyses (original submission and reanalyses) associated with this dataset.

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Distinct protein accessions are counted across all files submitted in the "Statistical Analysis of Quantified Analytes" category having a "Protein" column in this dataset.

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