title: Global proteomic characterization of microdissected estrogen receptor positive breast tumors.
abstract: We here describe two proteomic datasets deposited in ProteomeXchange via PRIDE partner repository [1] with dataset identifiers PXD000484 (defined as "training") and PXD000485 (defined as "test") that have been used for the development of a tamoxifen outcome predictive signature [2]. 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. We here present the first public proteomic dataset analyzing ER positive recurrent breast cancer by LCM coupled to high resolution MS.
authors.affiliation: Department of Medical Oncology, Erasmus MC Cancer Institute, University Medical Center, Rotterdam, The Netherlands.
authors.forename: Tommaso
authors.initials: T
authors.lastname: De Marchi
authors.affiliation: Department of Medical Oncology, Erasmus MC Cancer Institute, University Medical Center, Rotterdam, The Netherlands.
authors.forename: Ning Qing
authors.initials: NQ
authors.lastname: Liu
authors.affiliation: Department of Neurology, Erasmus MC, University Medical Center, Rotterdam, The Netherlands.
authors.forename: Christoph
authors.initials: C
authors.lastname: Sting
authors.affiliation: Department of Medical Oncology, Erasmus MC Cancer Institute, University Medical Center, Rotterdam, The Netherlands.
authors.forename: Marcel
authors.initials: M
authors.lastname: Smid
authors.affiliation: Department of Medical Oncology, Erasmus MC Cancer Institute, University Medical Center, Rotterdam, The Netherlands.
authors.forename: Mila
authors.initials: M
authors.lastname: Tjoa
authors.affiliation: Department of Medical Oncology, Erasmus MC Cancer Institute, University Medical Center, Rotterdam, The Netherlands.
authors.forename: René B H
authors.initials: RB
authors.lastname: Braakman
authors.affiliation: Department of Neurology, Erasmus MC, University Medical Center, Rotterdam, The Netherlands.
authors.forename: Theo M
authors.initials: TM
authors.lastname: Luider
authors.affiliation: Department of Medical Oncology, Erasmus MC Cancer Institute, University Medical Center, Rotterdam, The Netherlands.
authors.forename: John A
authors.initials: JA
authors.lastname: Foekens
authors.affiliation: Department of Medical Oncology, Erasmus MC Cancer Institute, University Medical Center, Rotterdam, The Netherlands; Cancer Genomics Center Netherlands, Amsterdam, The Netherlands.
authors.forename: John W M
authors.initials: JW
authors.lastname: Martens
authors.affiliation: Department of Medical Oncology, Erasmus MC Cancer Institute, University Medical Center, Rotterdam, The Netherlands.
authors.forename: Arzu
authors.initials: A
authors.lastname: Umar