Proteomics

Dataset Information

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Comparison between matched microdissected and whole tissue breast cancer specimen


ABSTRACT: A total of 38 flash-frozen breast cancer tissues were collected from three medical centers in the Netherlands (i.e. National Cancer institute: n=19; Radboud University Medical Center: n=4; Erasmus University Medical Center: n=15). All tissues were analyzed as laser capture microdissected (LCM) and whole samples (whole tissue lysate: WTL). All gathered samples were primary estrogen receptor (ER) tumors, which were subdivided in two patient groups according to outcome to first line (i.e. recurrent disease setting) tamoxifen therapy based on time-to-progression (TTP): patients which manifested progression of disease before (i.e. TTP <=) 6 months were defined as "poor outcome", while patients which manifested progression after (i.e. TTP>) 6 months were defined as "good outcome". All patients did not receive adjuvant hormonal therapy (i.e. tamoxifen or aromatase inhibitors post-surgical resection of primary tumor). The LCM subset derives from PXD000484 (Erasmus Medical Center samples) and PXD000485 (National Cancer Institute and Radboud University Medical Center).

INSTRUMENT(S): LTQ Orbitrap

ORGANISM(S): Homo Sapiens (human)

TISSUE(S): Mammary Gland Epithelial Cell, Breast Cancer Cell

DISEASE(S): Breast Cancer

SUBMITTER: Tommaso De Marchi  

LAB HEAD: Arzu Umar

PROVIDER: PXD002381 | Pride | 2016-03-31

REPOSITORIES: Pride

Dataset's files

Source:
Action DRS
20150210_HUMANcanonical.fasta Fasta
EMC-OR-01-WTL.raw Raw
EMC-OR-01_LCM.RAW Raw
EMC-OR-02-WTL.raw Raw
EMC-OR-02_LCM.RAW Raw
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Publications

The advantage of laser-capture microdissection over whole tissue analysis in proteomic profiling studies.

De Marchi Tommaso T   Braakman Rene B H RB   Stingl Christoph C   van Duijn Martijn M MM   Smid Marcel M   Foekens John A JA   Luider Theo M TM   Martens John W M JW   Umar Arzu A  

Proteomics 20160428 10


Laser-capture microdissection (LCM) offers a reliable cell population enrichment tool and has been successfully coupled to MS analysis. Despite this, most proteomic studies employ whole tissue lysate (WTL) analysis in the discovery of disease biomarkers and in profiling analyses. Furthermore, the influence of tissue heterogeneity in WTL analysis, nor its impact in biomarker discovery studies have been completely elucidated. In order to address this, we compared previously obtained high resolutio  ...[more]

Publication: 1/2

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