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pmid:26958599
Global proteomic characterization of microdissected estrogen receptor positive breast tumors.
Tommaso De Marchi · Ning Qing Liu · Christoph Sting · Marcel Smid · Mila Tjoa · René B H Braakman · Theo M Luider · John A Foekens · John W M Martens · Arzu Umar
Data in brief · 2015 doi:10.1016/j.dib.2015.09.034
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Experiment
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Data
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Analysis
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Execution
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Record details sci_version · id · kind · revision · content_hash · schema · created_at · updated_at · generator
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Complete file
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Both datasets comprised 56 fresh frozen estrogen receptor (ER) positive primary breast tumor specimens derived from patients who received tamoxifen as first line therapy for recurrent disease. Patient groups were defined based on time to progression (TTP) after start of tamoxifen therapy (6 months cutoff): 32 good and 24 poor treatment outcome patients were comprised in the training set, respectively. The test set included 41 good and 15 poor treatment outcome patients. All specimens were subjected to laser capture microdissection (LCM) to enrich for epithelial tumor cells prior to high resolution mass spectrometric (MS) analysis. Protein identification and label-free quantification (LFQ) were performed with MaxQuant software package [3]. A total of 3109 and 4061 proteins were identified and quantified in the training and test set, respectively. 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