Oncotarget · 2015 · 35 citations · 30 references
MedicineMolecular BiologyOncologyMolecular OncologyNeoplasiaProteomicsCancer BiomarkersCancer ProteomicsColorectal CancerProteomic BiomarkersProteomic ProfilingTumor MarkersColorectal Cancer PrognosisMass Spectrometry ProteomicsMatrix-assisted Laser Desorption ImagingMatrix-assisted Laser Desorption/ionizationMatrix-assisted Laser Desorption/ionization ImagingPrognostic BiomarkersPrognostic Marker AssessmentProteomic Classification
// Timo Gemoll 1 , Sarah Strohkamp 1 , Katharina Schillo 1 , Christoph Thorns 2 , Jens K. Habermann 1 1 Section for Translational Surgical Oncology and Biobanking, Department of Surgery, University of Lübeck and University Medical Center Schleswig-Holstein, Campus Lübeck, Lübeck, Germany 2 Department of Pathology, University Medical Center Schleswig-Holstein, Campus Lübeck, Lübeck, Germany Correspondence to: Timo Gemoll, e-mail: Timo.Gemoll@uni-luebeck.de Jens K. Habermann, e-mail: Jens.Habermann@uni-luebeck.de Keywords: mass spectrometry, genomic instability, aneuploidy, Tβ-4, prognosis Received: June 16, 2015 Accepted: October 11, 2015 Published: November 05, 2015 ABSTRACT DNA aneuploidy has been identified as a prognostic factor for epithelial malignancies. Matrix-assisted laser desorption/ionization (MALDI) imaging mass spectrometry (IMS) is a powerful tool for direct analysis of multiple proteins in tissue sections while maintaining the cellular and molecular integrity. We compared diploid and aneuploid colon cancer tissues against normal mucosa of the colon by means of IMS. DNA image cytometry determined the ploidy status of tissue samples that were subsequently subjected to MALDI-IMS. After obtaining protein profiles through direct analysis of tissue sections, a discovery and independent validation set were used to predict ploidy status by applying proteomic classification algorithms [Supervised Neural Network (SNN) and Receiver Operating Characteristic (ROC)]. Five peaks (m/z 2,395 and 4,977 for diploid vs. aneuploid comparison as well as m/z 3,376, 6,663, and 8,581 for normal mucosa vs. carcinoma comparison ) were significant in both SNN and ROC analysis. Among these, m/z 4,977 was identified as thymosin beta 4 (Tβ-4). Tβ-4 was subsequently validated in clinical samples using a tissue microarray to predict overall survival in colon cancer patients.
30
Ahmedin Jemal, Freddie Bray, Jacques Ferlay et al. · CA A Cancer Journal for Clinicians · 2011 · 55K citations · Full text
Michelle Landon, Jennifer Saam, Krystal Brown et al. · Oncology · 2015 · 1.9K citations · Full text
Life Sciences, Genetics, Oncology +17
Genomic analysis of metastasis reveals an essential role for RhoC
Edwin Clark, Todd R. Golub, Eric S. Lander et al. · Nature · 2000 · 1.4K citations